Next Article in Journal
Crosstalk between Circulating Tumor Cells and Plasma Proteins—Impact on Coagulation and Anticoagulation
Previous Article in Journal
Precision Medicine to Treat Urothelial Carcinoma—The Way Forward
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Targeted Therapies in Colorectal Cancer: Recent Advances in Biomarkers, Landmark Trials, and Future Perspectives

1
Miami Transplant Institute, Jackson Memorial Hospital, University of Miami, Miami, FL 33136, USA
2
Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, USA
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(11), 3023; https://doi.org/10.3390/cancers15113023
Submission received: 27 April 2023 / Revised: 30 May 2023 / Accepted: 30 May 2023 / Published: 1 June 2023
(This article belongs to the Topic Advances in Anti-Cancer Drugs)

Abstract

:

Simple Summary

Colorectal cancer is one of the leading causes of cancer-associated deaths worldwide. From the 1960s to 2002, the standard systemic treatment consisted of cytotoxic chemotherapy. However, in the past 20 years, the development of targeted therapies has revolutionized care for CRC. Dozens of new drugs have been developed specifically targeting actionable and identifiable molecular biomarkers expressed by these tumors. This growing field, precision oncology, has been responsible for a dramatic drop of more than 50% in the CRC mortality rate in the United States. As research into this field exponentially expands, new targets are being uncovered, and new drugs are being developed. This review aims to summarize the recent advances in biomarkers, landmark trials, and future perspectives for colorectal cancer.

Abstract

In 2022, approximately 600,000 cancer deaths were expected; more than 50,000 of those deaths would be from colorectal cancer (CRC). The CRC mortality rate in the US has decreased in recent decades, with a 51% drop between 1976 and 2014. This drop is attributed, in part, to the tremendous therapeutic improvements, especially after the 2000s, in addition to increased social awareness regarding risk factors and diagnostic improvement. Five-fluorouracil, irinotecan, capecitabine, and later oxaliplatin were the mainstays of mCRC treatment from the 1960s to 2002. Since then, more than a dozen drugs have been approved for the disease, betting on a new chapter in medicine, precision oncology, which uses patient and tumor characteristics to guide the therapeutic choice. Thus, this review will summarize the current literature on targeted therapies, highlighting the molecular biomarkers involved and their pathways.

1. Introduction

Cancer is the second leading cause of death in the United States of America (USA) today, second only to heart disease [1]. In 2022, approximately 600,000 cancer deaths were expected; more than 50,000 of those deaths would be from colorectal cancer (CRC) [1]. Despite a recent increase in incidence in the younger population, which is not yet subjected to routine CRC screening [2], the CRC mortality rate in the US has decreased in recent decades, with a 51% drop between 1976 and 2014 [3]. This drop is attributed, in part, to the tremendous therapeutic improvements, especially after the 2000s, in addition to increased social awareness regarding risk factors and diagnostic improvement [3]. For patients who develop metastatic CRC (mCRC), approximately 50–60% of all patients with CRC [4], the standard treatment is antineoplastic agents aimed at improving and prolonging the quality of life [5].
Five-fluorouracil, irinotecan, capecitabine, and later oxaliplatin were the mainstays of mCRC treatment from the 1960s to 2002 [5]. Since then, more than a dozen drugs have been approved for the disease, betting on a new chapter in medicine, precision oncology, which uses patient and tumor characteristics to guide the therapeutic choice [5]. More than half of the patients with mCRC have tumors with specific molecular profiles for which targeted therapies or immunotherapies are already available [6].
In this context of intense innovation, which is changing clinical practice and patient outcomes, understanding the mechanisms underlying these new medications has become imperative in medical practice [7]. Thus, this review will summarize the current literature on targeted therapies, highlighting the molecular biomarkers involved and their pathways.

2. Biomarkers and Targeted Therapies

2.1. Vascular Endothelial Growth Factor (VEGF)

The VEGF system is one of the most relevant and researched factors of angiogenesis, the formation, and the organization of new vessel arrangements, a critical step in tissue growth [8,9]. Hypoxia, oncogenes, and various cytokines may promote its transcription, increasing its action on the tissues in which it occurs [10]. In the neoplastic microenvironment, constant hypoxia promotes the tumor endothelium to continuously release VEGF in an autocrine manner, promoting cell growth and support [11,12,13].
VEGF can be used as a biomarker for metastatic colorectal cancer (mCRC), helping to understand and treat patients better [14]. In a retrospective analysis, Jurgensmeier et al. discussed “Cediranib with fluorouracil, leucovorin, and oxaliplatin (mFOLFOX6) versus bevacizumab with mFOLFOX6 as first-line treatment for patients with advanced colorectal cancer” (HORIZON III), a randomized controlled trial, concluding that high baseline VEGF values are associated with worse Progression-Free Survival (PFS) and Overall Survival (OS) in mCRC patients, independent of treatment [15]. A correlation was also observed between VEGF expression and the development of metastatic disease in patients who did not receive adjuvant chemotherapy when analyzed over a 5-year period [16].
The VEGF family contains VEGF-A, VEGF-B, VEGF-C, VEGF-D, and Placental Growth Factor, and it is the primary agent in the regulation of angiogenesis, promoting the maintenance, proliferation, migration, and differentiation of endothelial cells [17]. It is possible to differentiate VEGF-A more precisely since: multiple isoforms are created from a single gene, generating variants with different characteristics and molecular weights [18].
At least 12 isoforms are formed: VEGF-A111, VEGF-A121, VEGF-A121b, VEGF-A145, VEGF-A148, VEGF-A162, VEGF-A165, VEGF-A165b, VEGF-A183, VEGF-A189, VEGF-A189b, and VEGF-A206 [19,20]. This more precise classification is relevant because each subtype reflects different characteristics [17,20]. The most common pro-angiogenic form is VEGF-A165a, while the most common anti-angiogenic form is VEGF-A165b, pointing to very distinct types of behavior [17,21]. The VEGF-A189 isoform is correlated with a higher rate of liver metastasis and a worse prognosis [22]. There is also evidence that VEGF-A121, which can be detected in blood, may be a good predictor of a patient’s response to anti-angiogenic treatment [23].
The strong correlation between VEGF as an angiogenic factor and the development and progression of colorectal cancer leads to its usability for therapeutic purposes. Currently, the principal medications that act on this system are bevacizumab, Ziv-Aflibercept, Ramucirumab, and Regorafenib [24].
Bevacizumab, a humanized monoclonal antibody that binds to VEGF-A isoforms, is the first-line anti-angiogenic treatment for advanced or metastatic CRC [25]. It is usually used in combination with oxaliplatin-based therapies [25]. Its antitumor action can be described in three ways: 1—A decrease in the number of vessels, either by inhibiting the formation of new ones or by regressing newly formed vessels; 2—Changing the functionality of these vessels; 3—Direct effects on the tumor [25,26,27,28].
A recent meta-analysis from Baraniskin et al. indicates that the use of bevacizumab together with 5-FU-containing therapies significantly increases PFS (Hazard Ratio [HR], 0.71; 95% CI, 0.65–0.77; p < 0.00001) and OS (HR, 0.85; 95% CI, 0.78–0.94; p = 0.0008) [29]. When the analysis was restricted to fluoropyrimidine monotherapy, the addition of bevacizumab led to a significant increase in PFS (HR, 0.57; 95% CI, 0.48–0.66; p < 0.00001) and OS (HR, 0.83; 95% CI, 0.70–0.98; p = 0.03) [29].
Ziv-aflibercept is a recombinant protein composed of extracellular parts of the vascular endothelial growth factor receptor 1 and 2 (VEGFR-1 and VEGFR-2), linked to the constant fragment (Fc) region of human immunoglobulin G 1 (IgG1) [30]. It acts as a VEGF receptor decoy, binding to VEGF factors, thus preventing their efficient action [31]. Its role is still less defined than that of bevacizumab, especially when it comes to first-line treatment, but apparently it presents itself as a good tool for patients who, despite treatment with bevacizumab, continue with disease progression [32].
In the “VEGF trap (aflibercept) with irinotecan in colorectal cancer after failure of oxaliplatin regimen trial” (VELOUR trial), the combination of Ziv-Aflibercept with infusional fluorouracil, leucovorin, and irinotecan (FOLFIRI) was studied in patients with mCRC, previously treated with oxaliplatin, including those previously treated with bevacizumab [33]. A significant improvement was observed in the OS compared with that with FOLFIRI plus placebo (HR, 0.817; 95% CI, 0.713–0.937; p = 0.0032), with an increase in the median OS to 13.5 months using aflibercept plus FOLFIRI compared with 12.06 months with the use of placebo plus FOLFIRI [33]. There was also a significant increase in PFS, from 4.67 months to 6.9 months [34]. The response rate was 19.8% (95% CI, 16.4–23.2%) with aflibercept plus FOLFIRI versus 11.1% (95% CI, 8.5–13.8%) using placebo plus FOLFIRI (p = 0.0001) [33].
Ramucirumab is a complete human IgG-1 monoclonal antibody, which binds with high affinity to the extracellular domain of VEGFR-2, disrupting the VEGF-mediated signaling pathway and promoting an antitumor effect [35,36]. The randomized, double-blind, multicenter, phase III “Ramucirumab versus placebo in combination with second-line FOLFIRI in patients with metastatic colorectal carcinoma that progressed during or after first-line therapy with bevacizumab, oxaliplatin, and fluoropyrimidine trial” (RAISE trial) evaluated the use of this medication combined with FOLFIRI as a second-line versus placebo plus FOLFIRI in patients with mCRC [37]. After a follow-up of 21.7 months, the median OS was 13.3 months (95% CI 12.4–14.5) using Ramucirumab plus FOLFIRI, while it was 11.7 months (95% CI, 10.8–12.7) for the placebo group (HR 0.844; 95% CI 0.730–0.976; p = 0.0219). The PFS was 5.7 months (95% CI, 5.5–6.2) in the first group versus 4.5 months (95% CI 4.2–5.4) in the placebo group (HR 0.793; 95% CI-0.697–0.903; p = 0.0005) [37,38].
Regorafenib is a multiple kinase inhibitor already approved for the treatment of patients with CRC refractory to other therapies worldwide [39]. Originally, Regorafenib was developed as a V-raf-1 murine leukemia viral oncogene homolog 1 (RAF1) inhibitor, but in preclinical experiments, its usefulness as a multi-targeting kinase inhibitor with a wide therapeutic range was observed [40,41]. In the multicenter, randomized, placebo-controlled, “Regorafenib monotherapy for previously treated metastatic colorectal cancer” (CORRECT) study, Grothey et al. evaluated the use of Regorafenib as monotherapy in patients with mCRC previously treated with standard therapies [42]. In this study, the median OS was 6.4 months in the Regorafenib group compared with 5 months in the placebo group (HR 0.77; 95% CI 0.64–0.94; p = 0·0052) [42]. The “Regorafenib for patients with metastatic colorectal cancer who progressed after standard therapy” study (CONSIGN study) confirmed these results and found an overall median PFS of 2.7 months (95% CI), 2.5 months for KRAS mutant tumors, and 2.8 months for KRAS wild-type tumors [42].

2.2. Epidermal Growth Factor Receptor (EGFR) Pathway

EGFR belongs to the Erythroblastosis Oncogene B/Human Epidermal Growth Factor Receptor (HER) family and has four members: erythroblastic leukemia viral oncogene homolog 1 (ErbB1) (EGFR/HER1), ErbB2 (HER2), ErbB3 (HER3), and ErbB4 (HER4) [43]. Once activated, this receptor triggers a series of downstream intracellular signaling pathways, notably RAS/RAF/Mitogen-activated protein kinase (MEK)/extracellular-signal-regulated kinase (ERK); Phosphatidylinositol 3-kinases/AKT (PI3K/AKT); and Janus kinase-signal transducer and activator of transcription 3 (JAK/STAT3), which regulate the growth, migration, invasion, and survival of these cells [44,45]. The hyperactivation and hyperexpression of receptors in this family are related to several cancers, such as head and neck, stomach, colorectal, prostate, pancreas, and lung [43], and it may indicate a worse prognosis, survival, resistance to specific drugs, and higher metastasis rate [45,46,47].
Over-expression of EGFR is found in 65–75% of patients with advanced colorectal cancer [48]. Epidermal Growth Factor (EGF) and EGFR levels are significantly higher in malignant zones of colorectal cancer specimens than in other nearby regions [49]. The presence of high levels of EGFR in CRC justifies the use of targeted therapies for this pathway [50]. Cetuximab and panitumumab are the most used treatments that fit this category for CRC [24].
Cetuximab is an IgG antibody that, after competitive binding to the external domain of the receptor, promotes the internalization and destruction of EGFR [51], resulting in an inhibition of cell growth, a decrease in the production of matrix metalloproteinase (MMP) and VEGF, and induction of apoptosis [49,52,53].
Cetuximab, in conjunction with other chemotherapies, improves progression control, as noted by the Phase III “Irinotecan and 5-FU/FA with or without cetuximab in the first-line treatment of patients with mCRC” (CRYSTAL) trial, which demonstrated superior median progression-free survival times with FOLFIRI plus cetuximab compared with FOLFIRI alone (8.9 vs. 8 months, HR 0.85; 95% CI), but with an OS without significant differences (HR 9.93; 95% CI) [54]. The use of only cetuximab after the combined use of FOLFOX plus cetuximab maintained a similarly elevated PFS, but with fewer adverse effects [54].
Skin toxicity with cetuximab has an 80% of frequency, infusion-related reactions are present in 90% of the patients in the first infusion, and 48% for anemia [50]. Panitumumab, a fully humanized antibody that was developed, does not trigger antibody-dependent cell-mediated cytotoxicity, granting a different profile of toxicity with lower rates of anemia (48% vs. 5.2%; p < 0.001) and infections (22,4% vs. 12.5%, 95% CI, p < 0.001), but with higher rates of discontinuation (13.5% vs. 6.9%, 95% CI, p < 0.001) and fatal serious adverse events (SAE) (2.9% vs. 4.5%, 95% CI, p = 0.004) [55,56].
The “Panitumumab with infusional fluorouracil, leucovorin, and oxaliplatin (FOLFOX4) versus FOLFOX4 alone as first-line treatments in patients with previously untreated mCRC” (PRIME) trial compared panitumumab in conjunction with FOLFOX versus FOLFOX alone, finding better PFS in the panitumumab group (10 vs. 8.6 months, 95% CI 0.66–0.97, HR 0.80, p = 0.01), as well as better OS (23.9 vs. 19.7 months, 95% CI 0.67–1.02, HR 0.83, p = 0.17) [57,58]. The “Panitumumab Efficacy in combination with mFOLFOX6 against bevacizumab plus mFOLFOX in mCRC subjects with KRAS WT tumors” (PEAK) study found that median PFS was longer in the panitumumab group in relation to the bevacizumab group (12.8 vs. 10.1 months, HR = 0.68, 95% CI), and the median OS was 36.9 vs. 28.9 months, HR = 0.76, 95% CI [59]. Panitumumab has been shown to have a higher proportion of patients achieving early tumor shrinkage (ETS) in left-sided disease patients than in right-sided disease patients [60].
Both drugs, cetuximab and panitumumab, are considered first-line treatments for CRC [23] with no inferiority between them, as well as side effects, as shown in the phase III Panitumumab versus cetuximab in patients with chemotherapy-refractory wild-type KRAS exon 2 mCRC (ASPECCT) study, with an OS of 10.0 months for cetuximab and 10.4 months for panitumumab, 95% CI 0.839–1.113, HR 0.97, p < 0.0007 for noninferiority [61].

2.2.1. EGFR-Related Resistance Mechanism

Treatment using Anti-EGFR monoclonal antibodies (MoAb), such as cetuximab or panitumumab, is only effective in a portion of patients due to, among others, non-expression of EGFR and mutations, both in EGFR itself and at other points in the pathway, which can lead to the development of resistance [62,63,64,65].
Mutations directly in the EGFR or a low expression of EGFR can decrease the benefit of anti-EGFR therapies [66]. The most common mutation in patients with CRC is the substitution of serine to arginine at amino acid 492 (S492R) in the extracellular domain of EGFR, which causes a decrease in response to cetuximab and panitumumab [67]. The incidence of EGFR mutation varies across studies by region. In Greece, patients with non-Small-cell Lung Carcinoma (NSCLC) had an EGFR mutation rate of 28% [68], while in South Korea, the rate was 15% [69]. In colorectal cancer patients, the incidence in Western countries of EGFR mutation was 0.34% [70], while it was 12% in Japan and 22.4% in South Korea [71,72]. Patients from the Middle Eastern population with colorectal cancer had an EGFR mutation rate of 0% [73].
EGFR-targeted therapies, such as cetuximab and panitumumab, may also affect neighboring stromal cells near the cancer cells, promoting an increase in the secretion of EGF, inducing resistance against EGFR-targeted therapies through continuous mitogen-activated protein kinase (MAPK) signaling [65].

2.2.2. Resistance Mechanism—RAS Family

The RAS family, composed mainly of Kirsten rat sarcoma viral oncogene homolog (KRAS), neuroblastoma RAS viral oncogenes homolog (NRAS), and Harvey rat sarcoma viral oncogene homolog (HRAS), participates in the EGFR pathway, acting in the transducing and auto-inactivation of this pathway [66]. Mutations in this family are considered a major cause of resistance to anti-EGFR therapy [74,75,76,77]. The incidence of RAS mutations in CRC is about 53% [78], mainly in codons 12 or 13 of exon 2 (81–96% of all KRAS mutations), and 4–19% at exon 3 or exon 4 [66,79,80]. Therefore, the RAS genotype has become an essential factor in the therapeutic decision of patients with mCRC [48].
RAS inhibitors have recently been studied to overcome this obstacle [81]. Among the studies of RAS-targeted therapies, sotorasib, which acts selectively and irreversibly on KRAS-mutated glycine 12 to cysteine (G12C), is an example of a medication that promoted better responses to anti-EGFR in patients with RAS mutations, which is why it was approved by the Food and Drug Administration (FDA) in May 2021, although having no effect in patients with mutations at codons 12, 13, and 61 [82,83]. However, acquired resistance is anticipated, limiting its long-term clinical use due to secondary mutations causing resistance in sotorasib in vitro, and requiring a switch to two other drugs, BI-3406 plus Trametinib, to overcome this new obstacle [84]. Medications targeting other mutations, such as dasatinib, showed results in vitro but did not reproduce results in Phase IB/II studies of 77 patients with previously treated mCRC [85]. Some non-targeted drugs showed positive results in these patients [86]. Some studies indicate that simvastatin plus cetuximab reduces the proliferation of KRAS mutant cells and suppresses v-raf murine sarcoma viral oncogene homolog B1 (BRAF) activity in these patients [87,88], and that Metformin reverses acquired resistance in KRAS to anti-EGFR drugs [89].

2.2.3. Resistance Mechanism PI3KCA/AKT

The PI3K/AKT signaling pathway, one of the components of the EGFR pathway, when activated, is an essential contributor to the growth, proliferation, and survival of multiple solid tumors [90,91]. The most frequently mutated gene that enhances this pathway is Phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA), mainly in exon 9, 20, or both [92,93]. The frequency of these mutations in patients with CRC changes according to the detection technique used [94], but varies between 7 and 32% [93,94,95]. There is a positive association between PIK3CA mutations and clinical features, such as proximal location (OR = 1.79; 95% CI: 1.39–2.29) and mucinous histology (OR = 1.86; 95% CI: 1.50–2.31) [94]. It is also related to a worse prognosis [93,96].
PI3K inhibitors may contribute to the control of tumor growth, regardless of driver genotypes [91]. Mutations in PIK3CA lead to the permanent activation of the EGFR pathway, promoting resistance to EGFR-blocking effects and decreasing the response rate of anti-EGFR therapies, with a relative risk of 0.56 (0.38–0.82, 95% CI) [97]. Other drugs on the PI3K axis are being developed to act in cases of PI3KCA mutations, such as AKT inhibitors, mammalian target of rapamycin (mTOR) inhibitors, and dual inhibitors of PI3K and mTOR [93], but they are still in the initial phases [98].
In patients with mutated PI3KCA colorectal cancer, regular use of aspirin is associated with a blockade of the PI3K pathway, causing suppression of cancer cell growth and induction of apoptosis [99,100]. The post-diagnosis use is associated with a higher OS (HR = 0.83; 95% CI, 0.75–0.9) and superior colorectal cancer-specific survival (HR = 0.78, 95% CI, 0.66–0.92) [101]. In patients with PI3KCA WT, it is not associated with differences in these values [102]
Phosphatase and Tensin homolog (PTEN) is a negative regulator of the PI3K/AKT pathway, and mutations are seen in 5.8% of CRC patients [103,104]. Loss of this regulator results in permanent activation of the PI3K/AKT pathway, generating resistance to anti-EGFR drugs [103,104]. PTEN-negative status is correlated with worse response rates and lower PFS than PTEN-positive status [105,106].

2.3. BRAF Mutations

BRAF mutations are present in 5–21% of patients [107,108,109], mainly a valine to glutamic acid substitution at codon 600 (V600E), and are correlated with worse prognoses [110]. This mutation correlates with downstream MEK and ERK phosphorylation, making mitogen activation a permanently activated protein kinase (MAPK) pathway, promoting tumor cell growth and survival [111]. These mutations are associated with a high stage at diagnosis, poor differentiation, serrated architecture, and mucinous histology [111,112,113,114,115,116]. BRAFV600E-mutated CRC has a median survival of approximately one-third of non-BRAFV600E-mutated tumors (1 year vs. 2–3 years) [107,117]. The National Comprehensive Cancer Network (NCCN) recommends testing for mutations of KRAS/NRAS and BRAF genes in all patients with mCRC [118].
BRAF-inhibitor monotherapy in BRAFV600E-mutated CRC has low response rates, which is linked to incomplete inhibition of MAPK signaling in tumor cells [119,120]. BRAF inhibition generates a feedback activation of EGFR, causing an increase in the EGFR pathway and its consequences [121]. The addition of targeted therapies to BRAF and EGFR results in synergistic inhibition of BRAFV600E-mutant CRC [122,123]. Vemurafenib, the oral selective inhibitor of the BRAFV600 kinase, is suggested as a possibility for BRAFV600E mutation-positive patients by the NCCN [118], but studies vary in confirming its efficacy [124,125,126,127].
The phase III “Binimetinib, encorafenib, and cetuximab in BRAF600E-mutated CRC” (BEACON) trial showed the efficacy of another BRAF inhibitor, encorafenib, in dual-targeted EGFR and BRAF therapy as second-line systemic therapy for BRAFV600E-mutated CRC. In this study, the objective response rate (ORR) for the triple regimen (encorafenib and binimetinib, a MEK inhibitor, with cetuximab) was 26%, compared with 2% in the control group. The Median OS was 9 months for the triple regimen and 5.4 for the control group (p < 0.0001, 75) [123]. The use of triple therapy in clinical practice may be related to drug toxicity events, and drugs must be monitored constantly [128,129]. More recently, new local delivery technologies, nanocarriers (NCs), are being tested that propose to reduce these toxicity events by delivering medications precisely [129]. In the case of colorectal cancer, NCs that use CEA and CD44 receptors, both well-established biomarkers for CRC, have shown to be especially promising, with high specificity for tumor cells [130,131].
The Encorafenib, binimetinib and cetuximab in subjects with previously untreated BRAF-mutant CRC (ANCHOR-CRC) (NCT03693170) study released results in August 2022: the investigator-assessment confirmed that ORR based on local tumor assessments was 47.8% (95% CI 37.3–58.5%), and the median PFS per local review was 5.8 months (95% CI 4.6–6.4 months) [132].
Patients with mCRC who underwent chemotherapy with FOLFOX or CAPEOX in the last 12 months and are BRAFV600E-mutation-positive have as therapeutic options recommended by the NCCN the use of encorafenib plus cetuximab or vemurafenib [118].

2.4. HER2

HER2 is the only member of the EGFR family that is not activated by ligands but by homo or heterodimerization with other ligand-bound receptors [133], resulting in the activation of signal transduction pathways (RAS-RAF-ERK and PI3K-PTEN-AKT), which control cell growth and differentiation [134]. High HER2 expression is found in 2–11% of CRC cases [135]. HER2 amplification and KRAS, NRAS, and BRAF mutations simultaneously are very unlikely in advanced CRC [136].
In addition to functioning as an oncogenic driver, HER2 is a mediator of resistance to anti-EGFR therapies [137]. In patients with de novo HER2 amplification, PFS (PFS 89 vs. 149 days; p = 0.0013) and OS (307 × 515 days) are lower than in patients without amplification, when both treated with anti-EGFR targeted therapies [137].
Targeted therapy for the HER2 pathway in cancers in general currently relies on three medications with different mechanisms: trastuzumab, an HER2-targeted monoclonal antibody that binds to the extracellular domain; pertuzumab, a recombinant humanized monoclonal antibody that inhibits the heterodimerization of HER2 with other HER2 receptors; and lapatinib, the tyrosine kinase inhibitor against EGFR1 and HER2 [137].
The HERACLES-A, a multicenter open-label phase II trial (HER2 Amplification for Colorectal Enhanced Stratification), used trastuzumab plus lapatinib in HER2-positive KRAS exon 2 WT advanced CRC patients who were resistant to first-line treatments, including cetuximab [138]. In this study, an ORR of 30% was found with a median duration of response of 9.5 months and a median PFS of 21 weeks (95% CI 16–32 weeks) [138]. HERACLES-B, a phase II study with only twelve patients treated and eight assessed for response, evaluated the combination of pertuzumab and ado-trastuzumab emtansine (T-DM1), an antibody–drug conjugate linking trastuzumab to a microtubule inhibitor chemotherapy, in patients with mCRC HER2-positive KRAS exon 2 WT. In that study, a decrease in tumor volume was found in 87% of patients [139].
The MyPathWay (pertuzumab plus trastuzumab for HER2-amplified metastatic colorectal cancer NCT02091141) trial is still ongoing [140]. However, interim data point to a PFS of 2.9 months, an OS of 11.5 months, and an overall response rate gain of 32% in patients with mCRC HER2-amplified treatment with double treatment of trastuzumab and pertuzumab [141].

2.5. Immune Checkpoints

Mismatch-repair deficiency (dMMR) is found in 15% of all colorectal cancer patients [142]. Eighty percent of patients with dMMR are sporadic cases, primarily due to methylation of the mutL homolog 1 (MLH1) promoter gene. The hereditary cases are due to germline mutations in the MLH1 and mutS homolog 2 (MSH2) genes [143]. These events result in the cells being unable to repair mutations, causing a significant accumulation of these, generating tumors with high microsatellite instability (MSI-H) [144,145]. MSI-H is associated with increased risk for CRC, particularly with high tumor mutational burden and higher numbers of tumor-infiltrating lymphocytes [145,146]. The presence of dMMR alters the chance of responsiveness to specific conventional chemotherapy regimens and encourages the possibility of adding other treatments [147].
The immune system identifies the high tumor mutational burden generated by the propensity to mutations promoting a series of secondary signals that regulate the immune system response [148,149]. The programmed death 1/programmed death 1–ligand (PD-1/PD-L1) receptor-ligand system and Cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) play a fundamental role in this regulation, being responsible for the tolerance or not of the immune system to those cells [150,151]. Malignancies often have elevated levels of checkpoint inhibitors such as CTLA-4 and PD-L1, significantly higher in mCRC, which interferes with the host immune response and confers resistance of these tissues to the host immune system [152]. Co-high expression of tumor PD-L1 and CTLA-4 in CRC tissues is a negative predictor of OS (HR 3.86, 95% CI 1.71–8.51, p = 0.001 in the membrane-bound receptor form and HR 5.72, 95% CI 1.87–14.54, p = 0.004 in the soluble form), in addition to being an independent prognostic factor for poor disease-free survival [153].
Immune checkpoint inhibitors (ICI) act on co-inhibitory receptors, such as CTLA-4 and PD-1, on immune system cells, or their ligands, such as PD-L1, on tumor and immune cells, in order to prevent the resistance of these cells to the immune system, potentiating the cytotoxic killing of tumor cells [154].
PD-1 blockage using antibodies in patients with MSI-H or dMMR mCRC has become an efficient treatment option [155]. Pembrolizumab, a humanized IgG4 antibody, has been approved for the treatment of mCRC by the FDA [156]. The recently published “Health-related quality of life in patients with MSI-high or dMMR mCRC treated with first-line pembrolizumab versus chemotherapy” (KEYNOTE-177) randomized, open-label, phase III study compared Pembrolizumab versus chemotherapy for MSI-H or dMMR in mCRC patients, with a median follow-up of 44.5 months (IQR 39.7–49.8). Although the study did not obtain a median overall survival for patients treated with Pembrolizumab due to the planned alpha of 0.025 for statistical significance not being achieved, data for PFS were promising [157]. The median PFS for the pembrolizumab-treated group was 16.5 months (95% CI 5.4–38.1) versus 8.2 months (6.1–10.2) for chemotherapy-treated patients (HR 0.59, 95% CI 0.45–0.79) [157]. A lower rate of serious adverse events was also found in patients treated with pembrolizumab (16%) compared with those treated with traditional chemotherapy (29%), pointing to pembrolizumab as an efficient option for first-line therapy in patients with MSI-H or dMMR mCRC [157].
Nivolumab, another humanized monoclonal IgG4-based PD-1 antibody, has been FDA-approved for use alone or in combination with ipilimumab, the CTLA-4 inhibitor, in patients with mCRC who have progressed following first-line chemotherapy treatment [118]. The study that resulted in this approval was the “Nivolumab in patients with metastatic DNA dMMR or MSI-high CRC” (CheckMate-142) study; the phase II, open-label, multicenter study first investigated the use of Nivolumab in patients with MSI-H or dMMR mCRC after the use of first-line therapy, finding an objective overall response rate of 31.1% (95% CI 20.8–42.9%), median PFS of 14.3 months (95% CI 4.3-NE), and 12-month OS of 73.4% (95% CI 62–82) [158]. In this same study, Nivolumab plus low-dose ipilimumab for MSI-H/dMMR was evaluated as a possible first-line treatment in mCRC patients [159]. ORR was 69% (95% CI 53–82), and the disease control rate was 84% (95% CI 70.5–93.5), with a 13% complete response rate. No median PFS or median OS was found with a follow-up of 24.2 months (24-month rates of 74 and 79%, respectively) [159].
Figure 1 and Table 1 summarize the described targeted therapies and important clinical trials cited throughout this publication.

3. Conclusions

Understanding the mechanisms involved in the pathophysiology and evolution of colorectal carcinoma, as well as possible specificities that can influence clinical presentation and outcomes of patients, allows for the development of more precise care. In this context, the identification of molecular subtypes, and the elaboration of strategies aimed at each of these, provide better final results for patients, fewer side effects, and reduce loss of therapeutic adherence.

Author Contributions

Conceptualization, J.M., P.A. and R.V.; Writing—original draft preparation J.M., C.O.H. and R.F.; Writing—review and editing: A.P., J.D. and A.S.L.; Supervision: P.A. Project administration: J.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ANCHOR-CRC trialThe Encorafenib, binimetinib, and cetuximab in subjects with previously untreated BRAF-mutant CRC trial;
ASPECCT studyPanitumumab versus cetuximab in patients with chemotherapy-refractory wild-type KRAS exon two mCRC study;
BEACON trialBinimetinib, encorafenib, and cetuximab in BRAF600E-mutated colorectal cancer trial;
BRAFV-raf murine sarcoma viral oncogene homolog B1;
CIConfidence interval;
CONSIGN studyRegorafenib for patients with metastatic colorectal cancer who progressed after standard therapy;
CORRECT studyRegorafenib monotherapy for previously treated metastatic colorectal cancer;
CRCcolorectal cancer;
CRYSTAL trialIrinotecan and 5-FU/FA with or without cetuximab in the first-line treatment of patients with mCRC trial;
CTLA-4Cytotoxic T lymphocyte-associated antigen 4;
dMMRMismatch-repair deficiency;
EGFEpidermal growth factor;
EGFREpidermal growth factor receptor;
ErbBErythroblastic leukemia viral oncogene homolog;
ERKExtracellular-signal-regulated kinase;
ETSEarly tumor shrinkage;
FDAFood and Drug Administration;
FOLFIRIInfusional fluorouracil, leucovorin, and irinotecan;
HERHuman Epidermal Growth Factor Receptor;
HERACLESHER2 Amplification for Colorectal Enhanced Stratification;
HORIZON trialCediranib with fluorouracil, leucovorin and oxaliplatin (mFOLFOX6) versus bevacizumab with mFOLFOX6 as first-line treatment for patients with advanced colorectal cancer;
HRHazard ratio;
HRASHarvey rat sarcoma viral oncogene homolog;
ICIImmune checkpoint inhibitors;
IQRInterquartile range;
JAK/STAT3Janus kinase-signal transducer and activator of transcription 3;
KEYNOTE-177 studyHealth-related quality of life in patients with MSI-high or dMMR mCRC treated with first-line pembrolizumab versus chemotherapy study;
KRASKirsten rat sarcoma viral oncogene homolog;
mCRCMetastatic colorectal cancer;
MEKMitogen-activated protein kinase;
mFOLFOX6Fluorouracil, leucovorin and oxaliplatin;
MLH1mutL homolog 1;
MMPMatrix metalloproteinase;
MOAMechanism of action;
MSH2mutS homolog 2;
MSIMicrosatellite instability;
mTORMammalian target of rapamycin;
NCCNNational Comprehensive Cancer Network;
NRASNeuroblastoma RASA viral oncogene homolog;
NSCLCNon-small-cell lung carcinoma;
OROdds ratio;
ORRObjective response rate;
OSOverall survival;
PD-1Programmed death 1;
PD-L1Programmed death 1-Ligand;
PEAK studyPanitumumab Efficacy in combination with mFOLFOX6 against bevacizumab plus mFOLFOX in mCRC subjects with KRAS WT tumors (PEAK);
PFSProgression-free survival;
PI3K/AKTPhosphatidylinositol 3-kinases/AKT;
PIK3CAPhosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha;
PRIME trialPanitumumab with infusional fluorouracil, leucovorin, and oxaliplatin (FOLFOX4) versus FOLFOX4 alone as first-line treatments in patients with previously untreated mCRC trial;
PTENPhosphatase and Tensin homolog;
RAF1V-raf-1 murine leukemia viral oncogene homolog 1;
RAISE trialRamucirumab versus placebo in combination with second-line FOLFIRI in patients with metastatic colorectal carcinoma that progressed during or after first-line therapy with bevacizumab, oxaliplatin, and fluoropyrimidine trial;
RASRat sarcoma virus;
RRResponse rate;
SAESerious adverse events;
T-DM1Trastuzumab emtansine;
VEGFVascular endothelial growth factor;
VELOUR trialVEGF trap (aflibercept) with irinotecan in colorectal cancer after failure of oxaliplatin regimen trial;
WTWild type.

References

  1. Siegel, R.L.; Miller, K.D.; Fuchs, H.E.; Jemal, A. Cancer statistics. CA Cancer J. Clin. 2022, 72, 7–33. [Google Scholar] [CrossRef]
  2. Siegel, R.L.; Miller, K.D.; Sauer, A.G.; Fedewa, S.A.; Butterly, L.F.; Anderson, J.C.; Cercek, A.; Smith, R.A.; Jemal, A. Colorectal cancer statistics, 2020. CA Cancer J. Clin. 2020, 70, 145–164. [Google Scholar] [CrossRef] [PubMed]
  3. Siegel, R.L.; Miller, K.D.; Fedewa, S.A.; Ahnen, D.J.; Meester, R.G.S.; Barzi, A.; Jemal, A. Colorectal cancer statistics, 2017. CA Cancer J. Clin. 2017, 67, 177–193. [Google Scholar] [CrossRef] [PubMed]
  4. e Silva, V.S.; Chinen, L.T.D.; Abdallah, E.A.; Damascena, A.; Paludo, J.; Chojniak, R.; Dettino, A.L.A.; Lopes de Mello, C.A.; Alves, V.S.; Fanelli, M.F. Early detection of poor outcome in patients with metastatic colorectal cancer: Tumor kinetics evaluated by circulating tumor cells. OncoTargets Ther. 2016, 9, 7503–7513. [Google Scholar] [CrossRef]
  5. Henry, J.T.; Johnson, B. Current and evolving biomarkers for precision oncology in the management of metastatic colorectal cancer. Chin. Clin. Oncol. 2019, 8, 49. [Google Scholar] [CrossRef] [PubMed]
  6. Biller, L.H.; Schrag, D. Diagnosis and Treatment of Metastatic Colorectal Cancer. J. Am. Med. Assoc. 2021, 325, 669–685. [Google Scholar] [CrossRef]
  7. Guler, I.; Askan, G.; Klostergaard, J.; Sahin, I.H. Precision medicine for metastatic colorectal cancer: An evolving era. Expert Rev. Gastroenterol. Hepatol. 2019, 13, 919–931. [Google Scholar] [CrossRef]
  8. Melincovici, C.S.; Boşca, A.B.; Şuşman, S.; Mărginean, M.; Mihu, C.; Istrate, M.; Moldovan, I.M.; Roman, A.L.; Mihu, C.M. Vascular endothelial growth factor (VEGF)—Key factor in normal and pathological angiogenesis. Rom. J. Morphol. Embryol. 2018, 59, 455–467. [Google Scholar]
  9. Kugeratski, F.G.; Atkinson, S.J.; Neilson, L.J.; Lilla, S.; Knight, J.R.P.; Serneels, J.; Juin, A.; Ismail, S.; Bryant, D.M.; Markert, E.K.; et al. Hypoxic cancer–associated fibroblasts increase NCBP2-AS2/HIAR to promote endothelial sprouting through enhanced VEGF signaling. Sci. Signal. 2019, 12, eaan8247. [Google Scholar] [CrossRef]
  10. Haibe, Y.; Kreidieh, M.; El Hajj, H.; Khalifeh, I.; Mukherji, D.; Temraz, S.; Shamseddine, A. Resistance Mechanisms to Anti-angiogenic Therapies in Cancer. Front. Oncol. 2020, 10, 221. [Google Scholar] [CrossRef]
  11. Bhattacharya, R.; Fan, F.; Wang, R.; Ye, X.; Xia, L.; Boulbes, D.; Ellis, L.M. Intracrine VEGF signalling mediates colorectal cancer cell migration and invasion. Br. J. Cancer 2017, 117, 848–855. [Google Scholar] [CrossRef] [PubMed]
  12. Itatani, Y.; Kawada, K.; Yamamoto, T.; Sakai, Y. Resistance to Anti-Angiogenic Therapy in Cancer—Alterations to Anti-VEGF Pathway. Int. J. Mol. Sci. 2018, 19, 1232. [Google Scholar] [CrossRef] [PubMed]
  13. Dakowicz, D.; Zajkowska, M.; Mroczko, B. Relationship between VEGF Family Members, Their Receptors and Cell Death in the Neoplastic Transformation of Colorectal Cancer. Int. J. Mol. Sci. 2022, 23, 3375. [Google Scholar] [CrossRef]
  14. Jürgensmeier, J.M.; Schmoll, H.-J.; Robertson, J.D.; Brooks, L.; Taboada, M.; Morgan, S.R.; Wilson, D.; Hoff, P.M. Prognostic and predictive value of VEGF, sVEGFR-2 and CEA in mCRC studies comparing cediranib, bevacizumab and chemotherapy. Br. J. Cancer 2013, 108, 1316–1323. [Google Scholar] [CrossRef] [PubMed]
  15. Hopirtean, C.; Nagy, V. Optimizing the use of anti VEGF targeted therapies in patients with metastatic colorectal cancer: Review of literature. Clujul Med. 2018, 91, 12–17. [Google Scholar] [CrossRef] [PubMed]
  16. Canavese, M.; Ngo, D.T.; Maddern, G.J.; Hardingham, J.E.; Price, T.J.; Hauben, E. Biology and therapeutic implications of VEGF-A splice isoforms and single-nucleotide polymorphisms in colorectal cancer. Int. J. Cancer 2017, 140, 2183–2191. [Google Scholar] [CrossRef]
  17. Peach, C.J.; Mignone, V.W.; Arruda, M.A.; Alcobia, D.C.; Hill, S.J.; Kilpatrick, L.E.; Woolard, J. Molecular Pharmacology of VEGF-A Isoforms: Binding and Signalling at VEGFR2. Int. J. Mol. Sci. 2018, 19, 1264. [Google Scholar] [CrossRef]
  18. Guetz, G.D.; Uzzan, B.; Nicolas, P.; Cucherat, M.; Morere, J.-F.; Benamouzig, R.; Breau, J.-L.; Perret, G.-Y. Microvessel density and VEGF expression are prognostic factors in colorectal cancer. Meta-analysis of the literature. Br. J. Cancer 2006, 94, 1823–1832. [Google Scholar] [CrossRef]
  19. Al Kawas, H.; Saaid, I.; Jank, P.; Westhoff, C.C.; Denkert, C.; Pross, T.; Weiler, K.B.S.; Karsten, M.M. How VEGF-A and its splice variants affect breast cancer development—Clinical implications. Cell. Oncol. 2022, 45, 227–239. [Google Scholar] [CrossRef]
  20. Melegh, Z.; Oltean, S. Targeting Angiogenesis in Prostate Cancer. Int. J. Mol. Sci. 2019, 20, 2676. [Google Scholar] [CrossRef]
  21. Tokunaga, T.; Oshika, Y.; Abe, Y.; Ozeki, Y.; Sadahiro, S.; Kijima, H.; Tsuchida, T.; Yamazaki, H.; Ueyama, Y.; Tamaoki, N.; et al. Vascular endothelial growth factor (VEGF) mRNA isoform expression pattern is correlated with liver metastasis and poor prognosis in colon cancer. Br. J. Cancer 1998, 77, 998–1002. [Google Scholar] [CrossRef] [PubMed]
  22. Martini, M.; De Pascalis, I.; D’alessandris, Q.G.; Fiorentino, V.; Pierconti, F.; Marei, H.E.-S.; Ricci-Vitiani, L.; Pallini, R.; LaRocca, L.M. VEGF-121 plasma level as biomarker for response to anti-angiogenetic therapy in recurrent glioblastoma. BMC Cancer 2018, 18, 553. [Google Scholar] [CrossRef] [PubMed]
  23. Chiorean, E.G.; Nandakumar, G.; Fadelu, T.; Temin, S.; Alarcon-Rozas, A.E.; Bejarano, S.; Croitoru, A.-E.; Grover, S.; Lohar, P.V.; Odhiambo, A.; et al. Treatment of Patients with Late-Stage Colorectal Cancer: ASCO Resource-Stratified Guideline. JCO Glob. Oncol. 2020, 6, 414–438. [Google Scholar] [CrossRef] [PubMed]
  24. Cremolini, C.; Antoniotti, C.; Rossini, D.; Lonardi, S.; Loupakis, F.; Pietrantonio, F.; Bordonaro, R.; Latiano, T.P.; Tamburini, E.; Santini, D.; et al. Upfront FOLFOXIRI plus bevacizumab and reintroduction after progression versus mFOLFOX6 plus bevacizumab followed by FOLFIRI plus bevacizumab in the treatment of patients with metastatic colorectal cancer (TRIBE2): A multicentre, open-label, phase 3, randomised, controlled trial. Lancet Oncol. 2020, 21, 497–507. [Google Scholar] [CrossRef]
  25. da Silva, W.C.; de Araujo, V.E.; Lima, E.M.E.A.; dos Santos, J.B.R.; da Silva, M.R.R.; Almeida, P.H.R.F.; Acurcio, F.D.A.; Godman, B.; Kurdi, A.; Cherchiglia, M.L.; et al. Comparative Effectiveness and Safety of Monoclonal Antibodies (Bevacizumab, Cetuximab, and Panitumumab) in Combination with Chemotherapy for Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis. Biodrugs 2018, 32, 585–606. [Google Scholar] [CrossRef]
  26. Mooi, J.; Wirapati, P.; Asher, R.; Lee, C.; Savas, P.S.; Price, T.; Townsend, A.; Hardingham, J.; Buchanan, D.; Williams, D.; et al. The prognostic impact of consensus molecular subtypes (CMS) and its predictive effects for bevacizumab benefit in metastatic colorectal cancer: Molecular analysis of the AGITG MAX clinical trial. Ann. Oncol. 2018, 29, 2240–2246. [Google Scholar] [CrossRef]
  27. Shen, Y.; Wang, X.; Lu, J.; Salfenmoser, M.; Wirsik, N.M.; Schleussner, N.; Imle, A.; Valls, A.F.; Radhakrishnan, P.; Liang, J.; et al. Reduction of Liver Metastasis Stiffness Improves Response to Bevacizumab in Metastatic Colorectal Cancer. Cancer Cell 2020, 37, 800–817.e7. [Google Scholar] [CrossRef]
  28. Baraniskin, A.; Buchberger, B.; Pox, C.; Graeven, U.; Holch, J.W.; Schmiegel, W.; Heinemann, V. Efficacy of bevacizumab in first-line treatment of metastatic colorectal cancer: A systematic review and meta-analysis. Eur. J. Cancer 2019, 106, 37–44. [Google Scholar] [CrossRef]
  29. Cai, S.; Yang, Q.; Li, X.; Zhang, Y. The efficacy and safety of aflibercept and conbercept in diabetic macular edema. Drug Des. Dev. Ther. 2018, 12, 3471–3483. [Google Scholar] [CrossRef]
  30. Holash, J.; Davis, S.; Papadopoulos, N.; Croll, S.D.; Ho, L.; Russell, M.; Boland, P.; Leidich, R.; Hylton, D.; Burova, E.; et al. VEGF-Trap: A VEGF blocker with potent antitumor effects. Proc. Natl. Acad. Sci. USA 2002, 99, 11393–11398. [Google Scholar] [CrossRef]
  31. Lau, D.K.; Mencel, J.; Chau, I. Safety and efficacy review of aflibercept for the treatment of metastatic colorectal cancer. Expert Opin. Drug Saf. 2022, 21, 589–597. [Google Scholar] [CrossRef]
  32. Van Cutsem, E.; Tabernero, J.; Lakomy, R.; Prenen, H.; Prausová, J.; Macarulla, T.; Ruff, P.; van Hazel, G.A.; Moiseyenko, V.; Ferry, D.; et al. Addition of Aflibercept to Fluorouracil, Leucovorin, and Irinotecan Improves Survival in a Phase III Randomized Trial in Patients with Metastatic Colorectal Cancer Previously Treated with an Oxaliplatin-Based Regimen. J. Clin. Oncol. 2012, 30, 3499–3506. [Google Scholar] [CrossRef] [PubMed]
  33. Tabernero, J.; Van Cutsem, E.; Lakomý, R.; Prausová, J.; Ruff, P.; van Hazel, G.A.; Moiseyenko, V.M.; Ferry, D.R.; McKendrick, J.J.; Soussan-Lazard, K.; et al. Aflibercept versus placebo in combination with fluorouracil, leucovorin and irinotecan in the treatment of previously treated metastatic colorectal cancer: Prespecified subgroup analyses from the VELOUR trial. Eur. J. Cancer 2014, 50, 320–331. [Google Scholar] [CrossRef] [PubMed]
  34. Noguerido, A.; Mulet-Margalef, N.; Matos, I.; Ros, J.; Argilés, G.; Élez, E.; Tabernero, J. The safety of ramucirumab for the treatment of colorectal cancer. Expert Opin. Drug Saf. 2018, 17, 945–951. [Google Scholar] [CrossRef] [PubMed]
  35. Yoshihiro, T.; Kusaba, H.; Makiyama, A.; Kobayashi, K.; Uenomachi, M.; Ito, M.; Doi, Y.; Mitsugi, K.; Aikawa, T.; Takayoshi, K.; et al. Efficacy and safety of ramucirumab plus modified FOLFIRI for metastatic colorectal cancer. Int. J. Clin. Oncol. 2019, 24, 508–515. [Google Scholar] [CrossRef]
  36. Tabernero, J.; Yoshino, T.; Cohn, A.L.; Obermannova, R.; Bodoky, G.; Garcia-Carbonero, R.; Ciuleanu, T.-E.; Portnoy, D.C.; Van Cutsem, E.; Grothey, A.; et al. Ramucirumab versus placebo in combination with second-line FOLFIRI in patients with metastatic colorectal carcinoma that progressed during or after first-line therapy with bevacizumab, oxaliplatin, and a fluoropyrimidine (RAISE): A randomised, double-blind, multicentre, phase 3 study. Lancet Oncol. 2015, 16, 499–508. [Google Scholar] [CrossRef]
  37. Verdaguer, H.; Tabernero, J.; Macarulla, T. Ramucirumab in metastatic colorectal cancer: Evidence to date and place in therapy. Ther. Adv. Med. Oncol. 2016, 8, 230–242. [Google Scholar] [CrossRef]
  38. Argilés, G.; Saunders, M.P.; Rivera, F.; Sobrero, A.; Benson, A.; Ponce, C.G.; Cascinu, S.; Van Cutsem, E.; Macpherson, I.R.; Strumberg, D.; et al. Regorafenib plus modified FOLFOX6 as first-line treatment of metastatic colorectal cancer: A phase II trial. Eur. J. Cancer 2015, 51, 942–949. [Google Scholar] [CrossRef]
  39. Aljubran, A.; Elshenawy, M.A.; Kandil, M.; Zahir, M.N.; Shaheen, A.; Gad, A.; Alshaer, O.; Alzahrani, A.; Eldali, A.; Bazarbashi, S. Efficacy of Regorafenib in Metastatic Colorectal Cancer: A Multi-institutional Retrospective Study. Clin. Med. Insights Oncol. 2019, 13, 1179554918825447. [Google Scholar] [CrossRef]
  40. Arai, H.; Battaglin, F.; Wang, J.; Lo, J.H.; Soni, S.; Zhang, W.; Lenz, H.-J. Molecular insight of regorafenib treatment for colorectal cancer. Cancer Treat. Rev. 2019, 81, 101912. [Google Scholar] [CrossRef]
  41. Van Cutsem, E.; Martinelli, E.; Cascinu, S.; Sobrero, A.; Banzi, M.; Seitz, J.-F.; Barone, C.; Ychou, M.; Peeters, M.; Brenner, B.; et al. Regorafenib for Patients with Metastatic Colorectal Cancer Who Progressed After Standard Therapy: Results of the Large, Single-Arm, Open-Label Phase IIIb CONSIGN Study. Oncologist 2019, 24, 185–192. [Google Scholar] [CrossRef] [PubMed]
  42. Lyu, H.; Han, A.; Polsdofer, E.; Liu, S.; Liu, B. Understanding the biology of HER3 receptor as a therapeutic target in human cancer. Acta Pharm. Sin. B 2018, 8, 503–510. [Google Scholar] [CrossRef] [PubMed]
  43. Xie, Y.-H.; Chen, Y.-X.; Fang, J.-Y. Comprehensive review of targeted therapy for colorectal cancer. Signal Transduct. Target. Ther. 2020, 5, 22. [Google Scholar] [CrossRef] [PubMed]
  44. Wang, Z. ErbB Receptors and Cancer. In ErbB Receptor Signaling; Humana Press: New York, NY, USA, 2017. [Google Scholar] [CrossRef]
  45. Wee, P.; Wang, Z. Epidermal Growth Factor Receptor Cell Proliferation Signaling Pathways. Cancers 2017, 9, 52. [Google Scholar] [CrossRef]
  46. Chen, J.; Zeng, F.; Forrester, S.J.; Eguchi, S.; Zhang, M.-Z.; Harris, R.C. Expression and Function of the Epidermal Growth Factor Receptor in Physiology and Disease. Physiol. Rev. 2016, 96, 1025–1069. [Google Scholar] [CrossRef]
  47. Deng, Y.-M.; Zhao, C.; Wu, L.; Qu, Z.; Wang, X.-Y. Cannabinoid Receptor-1 suppresses M2 macrophage polarization in colorectal cancer by downregulating EGFR. Cell Death Discov. 2022, 8, 273. [Google Scholar] [CrossRef]
  48. Khan, K.; Valeri, N.; Dearman, C.; Rao, S.; Watkins, D.; Starling, N.; Chau, I.; Cunningham, D. Targeting EGFR pathway in metastatic colorectal cancer-tumour heterogeniety and convergent evolution. Crit. Rev. Oncol. 2019, 143, 153–163. [Google Scholar] [CrossRef]
  49. Giordano, G.; Remo, A.; Porras, A.; Pancione, M. Immune Resistance and EGFR Antagonists in Colorectal Cancer. Cancers 2019, 11, 1089. [Google Scholar] [CrossRef]
  50. Fornasier, G.; Francescon, S.; Baldo, P. An Update of Efficacy and Safety of Cetuximab in Metastatic Colorectal Cancer: A Narrative Review. Adv. Ther. 2018, 35, 1497–1509. [Google Scholar] [CrossRef]
  51. Mendelsohn, J.; Baselga, J. Epidermal Growth Factor Receptor Targeting in Cancer. Semin. Oncol. 2006, 33, 369–385. [Google Scholar] [CrossRef]
  52. Khan, A.Z.; Morris-Stiff, G.; Makuuchi, M. Patterns of chemotherapy-induced hepatic injury and their implications for patients undergoing liver resection for colorectal liver metastases. J. Hepato-Biliary-Pancreat. Surg. 2009, 16, 137–144. [Google Scholar] [CrossRef] [PubMed]
  53. Van Cutsem, E.; Köhne, C.-H.; Hitre, E.; Zaluski, J.; Chien, C.-R.C.; Makhson, A.; D’Haens, G.; Pintér, T.; Lim, R.; Bodoky, G.; et al. Cetuximab and Chemotherapy as Initial Treatment for Metastatic Colorectal Cancer. N. Engl. J. Med. 2009, 360, 1408–1417. [Google Scholar] [CrossRef] [PubMed]
  54. Aranda, E.; García-Alfonso, P.; Benavides, M.; Ruiz, A.S.; Guillén-Ponce, C.; Safont, M.; Alcaide, J.; Gómez, A.; López, R.; Manzano, J.; et al. First-line mFOLFOX plus cetuximab followed by mFOLFOX plus cetuximab or single-agent cetuximab as maintenance therapy in patients with metastatic colorectal cancer: Phase II randomised MACRO2 TTD study. Eur. J. Cancer 2018, 101, 263–272. [Google Scholar] [CrossRef] [PubMed]
  55. Yarom, N.; Jonker, D.J. The role of the epidermal growth factor receptor in the mechanism and treatment of colorectal cancer. Discov. Med. 2011, 11, 95–105. [Google Scholar] [PubMed]
  56. Fakih, M.; Vincent, M. Adverse events associated with anti-EGFR therapies for the treatment of metastatic colorectal cancer. Curr. Oncol. 2010, 17 (Suppl. S1), S18–S30. [Google Scholar] [CrossRef]
  57. Douillard, J.Y.; Siena, S.; Cassidy, J.; Tabernero, J.; Burkes, R.; Barugel, M.; Humblet, Y.; Bodoky, G.; Cunningham, D.; Jassem, J.; et al. Final results from PRIME: Randomized phase III study of panitumumab with FOLFOX4 for first-line treatment of metastatic colorectal cancer. Ann. Oncol. 2014, 25, 1346–1355. [Google Scholar] [CrossRef]
  58. Douillard, J.-Y.; Siena, S.; Cassidy, J.; Tabernero, J.; Burkes, R.; Barugel, M.; Humblet, Y.; Bodoky, G.; Cunningham, D.; Jassem, J.; et al. Randomized, Phase III Trial of Panitumumab with Infusional Fluorouracil, Leucovorin, and Oxaliplatin (FOLFOX4) Versus FOLFOX4 Alone As First-Line Treatment in Patients with Previously Untreated Metastatic Colorectal Cancer: The PRIME Study. J. Clin. Oncol. 2010, 28, 4697–4705. [Google Scholar] [CrossRef]
  59. Rivera, F.; Karthaus, M.; Hecht, J.R.; Sevilla, I.; Forget, F.; Fasola, G.; Canon, J.-L.; Guan, X.; Demonty, G.; Schwartzberg, L.S. Final analysis of the randomised PEAK trial: Overall survival and tumour responses during first-line treatment with mFOLFOX6 plus either panitumumab or bevacizumab in patients with metastatic colorectal carcinoma. Int. J. Color. Dis. 2017, 32, 1179–1190. [Google Scholar] [CrossRef]
  60. Peeters, M.; Price, T.; Taieb, J.; Geissler, M.; Rivera, F.; Canon, J.-L.; Pentheroudakis, G.; Koukakis, R.; Burdon, P.; Siena, S. Relationships between tumour response and primary tumour location, and predictors of long-term survival, in patients with RAS wild-type metastatic colorectal cancer receiving first-line panitumumab therapy: Retrospective analyses of the PRIME and PEAK clinical trials. Br. J. Cancer 2018, 119, 303–312. [Google Scholar] [CrossRef] [PubMed]
  61. Price, T.J.; Peeters, M.; Kim, T.W.; Li, J.; Cascinu, S.; Ruff, P.; Suresh, A.S.; Thomas, A.; Tjulandin, S.; Zhang, K.; et al. Panitumumab versus cetuximab in patients with chemotherapy-refractory wild-type KRAS exon 2 metastatic colorectal cancer (ASPECCT): A randomised, multicentre, open-label, non-inferiority phase 3 study. Lancet Oncol. 2014, 15, 569–579. [Google Scholar] [CrossRef]
  62. Wang, G.; He, Y.; Sun, Y.; Wang, W.; Qian, X.; Yu, X.; Pan, Y. Prevalence, prognosis and predictive status of HER2 amplification in anti-EGFR-resistant metastatic colorectal cancer. Clin. Transl. Oncol. 2020, 22, 813–822. [Google Scholar] [CrossRef] [PubMed]
  63. Dienstmann, R.; Salazar, R.; Tabernero, J. Overcoming Resistance to Anti-EGFR Therapy in Colorectal Cancer. Am. Soc. Clin. Oncol. Educ. Book 2015, 35, e149–e156. [Google Scholar] [CrossRef] [PubMed]
  64. Woolston, A.; Khan, K.; Spain, G.; Barber, L.J.; Griffiths, B.; Gonzalez-Exposito, R.; Hornsteiner, L.; Punta, M.; Patil, Y.; Newey, A.; et al. Genomic and Transcriptomic Determinants of Therapy Resistance and Immune Landscape Evolution during Anti-EGFR Treatment in Colorectal Cancer. Cancer Cell 2019, 36, 35–50.e9. [Google Scholar] [CrossRef]
  65. Garvey, C.M.; Lau, R.; Sanchez, A.; Sun, R.X.; Fong, E.J.; Doche, M.E.; Chen, O.; Jusuf, A.; Lenz, H.-J.; Larson, B.; et al. Anti-EGFR Therapy Induces EGF Secretion by Cancer-Associated Fibroblasts to Confer Colorectal Cancer Chemoresistance. Cancers 2020, 12, 1393. [Google Scholar] [CrossRef] [PubMed]
  66. Li, Q.-H.; Wang, Y.-Z.; Tu, J.; Liu, C.-W.; Yuan, Y.-J.; Lin, R.; He, W.-L.; Cai, S.-R.; He, Y.-L.; Ye, J.-N. Anti-EGFR therapy in metastatic colorectal cancer: Mechanisms and potential regimens of drug resistance. Gastroenterol. Rep. 2020, 8, 179–191. [Google Scholar] [CrossRef]
  67. Zhuang, X.; Wang, Z.; Fan, J.; Bai, X.; Xu, Y.; Chou, J.J.; Hou, T.; Chen, S.; Pan, L. Structure-guided and phage-assisted evolution of a therapeutic anti-EGFR antibody to reverse acquired resistance. Nat. Commun. 2022, 13, 4431. [Google Scholar] [CrossRef]
  68. Kalikaki, A.; Koutsopoulos, A.; Trypaki, M.; Souglakos, J.; Stathopoulos, E.; Georgoulias, V.; Mavroudis, D.; Voutsina, A. Comparison of EGFR and K-RAS gene status between primary tumours and corresponding metastases in NSCLC. Br. J. Cancer 2008, 99, 923–929. [Google Scholar] [CrossRef]
  69. Park, S.H.; Ha, S.Y.; Lee, J.-I.; Lee, H.; Sim, H.; Kim, Y.S.; Hong, J.; Park, J.; Cho, E.K.; Shin, D.B. Epidermal Growth Factor Receptor Mutations and the Clinical Outcome in Male Smokers with Squamous Cell Carcinoma of Lung. J. Korean Med. Sci. 2009, 24, 448–452. [Google Scholar] [CrossRef]
  70. Barber, T.D.; Vogelstein, B.; Kinzler, K.W.; Velculescu, V.E. Somatic Mutations of EGFR in Colorectal Cancers and Glioblastomas. N. Engl. J. Med. 2004, 351, 2883. [Google Scholar] [CrossRef]
  71. Nagahara, H.; Mimori, K.; Ohta, M.; Utsunomiya, T.; Inoue, H.; Barnard, G.F.; Ohira, M.; Hirakawa, K.; Mori, M. Somatic Mutations of Epidermal Growth Factor Receptor in Colorectal Carcinoma. Clin. Cancer Res. 2005, 11, 1368–1371. [Google Scholar] [CrossRef]
  72. Oh, B.-Y.; Lee, R.-A.; Chung, S.-S.; Kim, K.H. Epidermal Growth Factor Receptor Mutations in Colorectal Cancer Patients. J. Korean Soc. Coloproctol. 2011, 27, 127–132. [Google Scholar] [CrossRef] [PubMed]
  73. Ibrahim, T.; Saer-Ghorra, C.; Trak-Smayra, V.; Nadiri, S.; Yazbeck, C.; Baz, M.; Kattan, J.G. Molecular characteristics of colorectal cancer in a Middle Eastern population in a single institution. Ann. Saudi Med. 2018, 38, 251–259. [Google Scholar] [CrossRef] [PubMed]
  74. Schirripa, M.; Cremolini, C.; Loupakis, F.; Morvillo, M.; Bergamo, F.; Zoratto, F.; Salvatore, L.; Antoniotti, C.; Marmorino, F.; Sensi, E.; et al. Role of NRAS mutations as prognostic and predictive markers in metastatic colorectal cancer. Int. J. Cancer 2015, 136, 83–90. [Google Scholar] [CrossRef] [PubMed]
  75. Zhao, B.; Wang, L.; Qiu, H.; Zhang, M.; Sun, L.; Peng, P.; Yu, Q.; Yuan, X. Mechanisms of resistance to anti-EGFR therapy in colorectal cancer. Oncotarget 2017, 8, 3980–4000. [Google Scholar] [CrossRef]
  76. Miyamoto, Y.; Suyama, K.; Baba, H. Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer. Int. J. Mol. Sci. 2017, 18, 752. [Google Scholar] [CrossRef] [PubMed]
  77. Lee, S.-K.; Cho, Y.-H.; Cha, P.-H.; Yoon, J.-S.; Ro, E.J.; Jeong, W.-J.; Park, J.; Kim, H.; Kim, T.I.; Min, D.S.; et al. A small molecule approach to degrade RAS with EGFR repression is a potential therapy for KRAS mutation-driven colorectal cancer resistance to cetuximab. Exp. Mol. Med. 2018, 50, 1–12. [Google Scholar] [CrossRef]
  78. Midthun, L.; Shaheen, S.; Deisch, J.; Senthil, M.; Tsai, J.; Hsueh, C.-T. Concomitant KRAS and BRAF mutations in colorectal cancer. J. Gastrointest. Oncol. 2019, 10, 577–581. [Google Scholar] [CrossRef]
  79. Fakih, M.G. Metastatic Colorectal Cancer: Current State and Future Directions. J. Clin. Oncol. 2015, 33, 1809–1824. [Google Scholar] [CrossRef]
  80. Guo, T.; Wu, Y.; Huang, D.; Jin, Y.; Sheng, W.; Cai, S.; Zhou, X.; Zhu, X.; Liu, F.; Xu, Y. Prognostic Value of KRAS Exon 3 and Exon 4 Mutations in Colorectal Cancer Patients. J. Cancer 2021, 12, 5331–5337. [Google Scholar] [CrossRef]
  81. Moore, A.R.; Rosenberg, S.C.; McCormick, F.; Malek, S. RAS-targeted therapies: Is the undruggable drugged? Nat. Rev. Drug Discov. 2020, 19, 533–552. [Google Scholar] [CrossRef]
  82. Skoulidis, F.; Li, B.T.; Dy, G.K.; Price, T.J.; Falchook, G.S.; Wolf, J.; Italiano, A.; Schuler, M.; Borghaei, H.; Barlesi, F.; et al. Sotorasib for Lung Cancers with KRAS p.G12C Mutation. N. Engl. J. Med. 2021, 384, 2371–2381. [Google Scholar] [CrossRef] [PubMed]
  83. Blair, H.A. Sotorasib: First Approval. Drugs 2021, 81, 1573–1579. [Google Scholar] [CrossRef] [PubMed]
  84. Koga, T.; Suda, K.; Fujino, T.; Ohara, S.; Hamada, A.; Nishino, M.; Chiba, M.; Shimoji, M.; Takemoto, T.; Arita, T.; et al. KRAS Secondary Mutations That Confer Acquired Resistance to KRAS G12C Inhibitors, Sotorasib and Adagrasib, and Overcoming Strategies: Insights From In Vitro Experiments. J. Thorac. Oncol. 2021, 16, 1321–1332. [Google Scholar] [CrossRef]
  85. Parseghian, C.M.; Parikh, N.U.; Wu, J.Y.; Jiang, Z.-Q.; Henderson, L.; Tian, F.; Pastor, B.; Ychou, M.; Raghav, K.; Dasari, A.; et al. Dual Inhibition of EGFR and c-Src by Cetuximab and Dasatinib Combined with FOLFOX Chemotherapy in Patients with Metastatic Colorectal Cancer. Clin. Cancer Res. 2017, 23, 4146–4154. [Google Scholar] [CrossRef] [PubMed]
  86. Zhou, J.; Ji, Q.; Li, Q. Resistance to anti-EGFR therapies in metastatic colorectal cancer: Underlying mechanisms and reversal strategies. J. Exp. Clin. Cancer Res. 2021, 40, 328. [Google Scholar] [CrossRef] [PubMed]
  87. Wong, C.C.; Wu, J.-L.; Ji, F.; Kang, W.; Bian, X.; Chen, H.; Chan, L.-S.; Luk, S.T.Y.; Tong, S.; Xu, J.; et al. The cholesterol uptake regulator PCSK9 promotes and is a therapeutic target in APC/KRAS-mutant colorectal cancer. Nat. Commun. 2022, 13, 3971. [Google Scholar] [CrossRef]
  88. Zang, H.; Yang, W.; Tian, X. Simvastatin in the Treatment of Colorectal Cancer: A Review. Evid.-Based Complement. Altern. Med. 2022, 2022, 3827933. [Google Scholar] [CrossRef]
  89. Ye, H.; Liu, Y.; Wu, K.; Luo, H.; Cui, L. AMPK activation overcomes anti-EGFR antibody resistance induced by KRAS mutation in colorectal cancer. Cell Commun. Signal. 2020, 18, 115. [Google Scholar] [CrossRef]
  90. Xu, J.-M.; Wang, Y.; Wang, Y.-L.; Liu, T.; Ni, M.; Li, M.-S.; Lin, L.; Ge, F.-J.; Gong, C.; Gu, J.-Y.; et al. PIK3CA Mutations Contribute to Acquired Cetuximab Resistance in Patients with Metastatic Colorectal Cancer. Clin. Cancer Res. 2017, 23, 4602–4616. [Google Scholar] [CrossRef]
  91. Narayanankutty, A. PI3K/ Akt/ mTOR Pathway as a Therapeutic Target for Colorectal Cancer: A Review of Preclinical and Clinical Evidence. Curr. Drug Targets 2019, 20, 1217–1226. [Google Scholar] [CrossRef]
  92. Hamada, T.; Nowak, J.A.; Ogino, S. PIK3CA mutation and colorectal cancer precision medicine. Oncotarget 2017, 8, 22305–22306. [Google Scholar] [CrossRef]
  93. Bahrami, A.; Khazaei, M.; Hasanzadeh, M.; ShahidSales, S.; Mashhad, M.J.; Farazestanian, M.; Sadeghnia, H.R.; Rezayi, M.; Maftouh, M.; Hassanian, S.M.; et al. Therapeutic Potential of Targeting PI3K/AKT Pathway in Treatment of Colorectal Cancer: Rational and Progress. J. Cell. Biochem. 2018, 119, 2460–2469. [Google Scholar] [CrossRef] [PubMed]
  94. Jin, J.; Shi, Y.; Zhang, S.; Yang, S. PIK3CA mutation and clinicopathological features of colorectal cancer: A systematic review and Meta-Analysis. Acta Oncol. 2020, 59, 66–74. [Google Scholar] [CrossRef] [PubMed]
  95. Wang, Q.; Shi, Y.-L.; Zhou, K.; Wang, L.-L.; Yan, Z.-X.; Liu, Y.-L.; Xu, L.-L.; Zhao, S.-W.; Chu, H.-L.; Shi, T.-T.; et al. PIK3CA mutations confer resistance to first-line chemotherapy in colorectal cancer. Cell Death Dis. 2018, 9, 739. [Google Scholar] [CrossRef] [PubMed]
  96. Martinelli, E.; Sforza, V.; Cardone, C.; Capasso, A.; Nappi, A.; Martini, G.; Napolitano, S.; Rachiglio, A.M.; Normanno, N.; Cappabianca, S.; et al. Clinical outcome and molecular characterisation of chemorefractory metastatic colorectal cancer patients with long-term efficacy of regorafenib treatment. ESMO Open 2017, 2, e000177. [Google Scholar] [CrossRef]
  97. Tan, E.S.; Fan, W.; Knepper, T.C.; Schell, M.J.; Sahin, I.H.; Fleming, J.B.; Xie, H. Prognostic and Predictive Value of PIK3CA Mutations in Metastatic Colorectal Cancer. Target. Oncol. 2022, 17, 483–492. [Google Scholar] [CrossRef]
  98. El Bali, M.; Bakkach, J.; Mechita, M.B. Colorectal Cancer: From Genetic Landscape to Targeted Therapy. J. Oncol. 2021, 2021, 9918116. [Google Scholar] [CrossRef] [PubMed]
  99. Hall, D.C.N.; Benndorf, R.A. Aspirin sensitivity of PIK3CA-mutated Colorectal Cancer: Potential mechanisms revisited. Cell. Mol. Life Sci. 2022, 79, 393. [Google Scholar] [CrossRef]
  100. Chen, Z.; Wang, C.; Dong, H.; Wang, X.; Gao, F.; Zhang, S.; Zhang, X. Aspirin has a better effect on PIK3CA mutant colorectal cancer cells by PI3K/Akt/Raptor pathway. Mol. Med. 2020, 26, 14. [Google Scholar] [CrossRef]
  101. Lin, J.-L.; Lin, J.-X.; Zheng, C.-H.; Li, P.; Xie, J.-W.; Wang, J.-B.; Lu, J.; Chen, Q.-Y.; Cao, L.-L.; Lin, M.; et al. Relationship between aspirin use of esophageal, gastric and colorectal cancer patient survival: A meta-analysis. BMC Cancer 2020, 20, 638. [Google Scholar] [CrossRef]
  102. Jafa, E. 1484P Impact of baseline PI3KCA expression on outcomes with first line EOX or EOX plus aspirin in advanced gastric cancer. Ann. Oncol. 2020, 31, S923. [Google Scholar] [CrossRef]
  103. Salvatore, L.; Calegari, M.A.; Loupakis, F.; Fassan, M.; Di Stefano, B.; Bensi, M.; Bria, E.; Tortora, G. PTEN in Colorectal Cancer: Shedding Light on Its Role as Predictor and Target. Cancers 2019, 11, 1765. [Google Scholar] [CrossRef] [PubMed]
  104. Bazzichetto, C.; Conciatori, F.; Pallocca, M.; Falcone, I.; Fanciulli, M.; Cognetti, F.; Milella, M.; Ciuffreda, L. PTEN as a Prognostic/Predictive Biomarker in Cancer: An Unfulfilled Promise? Cancers 2019, 11, 435. [Google Scholar] [CrossRef] [PubMed]
  105. Loupakis, F.; Pollina, L.; Stasi, I.; Ruzzo, A.; Scartozzi, M.; Santini, D.; Masi, G.; Graziano, F.; Cremolini, C.; Rulli, E.; et al. PTEN Expression and KRAS Mutations on Primary Tumors and Metastases in the Prediction of Benefit From Cetuximab Plus Irinotecan for Patients with Metastatic Colorectal Cancer. J. Clin. Oncol. 2009, 27, 2622–2629. [Google Scholar] [CrossRef]
  106. Mao, C.; Wu, X.-Y.; Yang, Z.-Y.; Threapleton, D.E.; Yuan, J.-Q.; Yu, Y.-Y.; Tang, J.-L. Concordant analysis of KRAS, BRAF, PIK3CA mutations and PTEN expression between primary colorectal cancer and matched metastases. Sci. Rep. 2015, 5, 8065. [Google Scholar] [CrossRef]
  107. Grothey, A.; Fakih, M.; Tabernero, J. Management of BRAF-mutant metastatic colorectal cancer: A review of treatment options and evidence-based guidelines. Ann. Oncol. 2021, 32, 959–967. [Google Scholar] [CrossRef]
  108. Yaeger, R.; Chatila, W.K.; Lipsyc, M.D.; Hechtman, J.F.; Cercek, A.; Sanchez-Vega, F.; Jayakumaran, G.; Middha, S.; Zehir, A.; Donoghue, M.T.A.; et al. Clinical Sequencing Defines the Genomic Landscape of Metastatic Colorectal Cancer. Cancer Cell 2018, 33, 125–136.e3. [Google Scholar] [CrossRef]
  109. The AACR Project GENIE Consortium; André, F.; Arnedos, M.; Baras, A.S.; Baselga, J.; Bedard, P.L.; Berger, M.F.; Bierkens, M.; Calvo, F.; Cerami, E.; et al. AACR Project GENIE: Powering Precision Medicine through an International Consortium. Cancer Discov. 2017, 7, 818–831. [Google Scholar] [CrossRef]
  110. Kayhanian, H.; Goode, E.; Sclafani, F.; Ang, J.E.; Gerlinger, M.; de Castro, D.G.; Shepherd, S.; Peckitt, C.; Rao, S.; Watkins, D.; et al. Treatment and Survival Outcome of BRAF-Mutated Metastatic Colorectal Cancer: A Retrospective Matched Case-Control Study. Clin. Color. Cancer 2018, 17, e69–e76. [Google Scholar] [CrossRef]
  111. Fanelli, G.N.; Pozzo, C.A.D.; Depetris, I.; Schirripa, M.; Brignola, S.; Biason, P.; Balistreri, M.; Santo, L.D.; Lonardi, S.; Munari, G.; et al. The heterogeneous clinical and pathological landscapes of metastatic Braf-mutated colorectal cancer. Cancer Cell Int. 2020, 20, 30. [Google Scholar] [CrossRef]
  112. Sinicrope, F.A.; Shi, Q.; Smyrk, T.C.; Thibodeau, S.N.; Dienstmann, R.; Guinney, J.; Bot, B.; Tejpar, S.; Delorenzi, M.; Goldberg, R.M.; et al. Molecular Markers Identify Subtypes of Stage III Colon Cancer Associated with Patient Outcomes. Gastroenterology 2015, 148, 88–99. [Google Scholar] [CrossRef] [PubMed]
  113. Clarke, C.N.; Kopetz, E.S. BRAF mutant colorectal cancer as a distinct subset of colorectal cancer: Clinical characteristics, clinical behavior, and response to targeted therapies. J. Gastrointest. Oncol. 2015, 6, 660–667. [Google Scholar] [CrossRef] [PubMed]
  114. Jang, M.H.; Kim, S.; Hwang, D.Y.; Kim, W.Y.; Lim, S.D.; Kim, W.S.; Hwang, T.S.; Han, H.S. BRAF-Mutated Colorectal Cancer Exhibits Distinct Clinicopathological Features from Wild-Type BRAF-Expressing Cancer Independent of the Microsatellite Instability Status. J. Korean Med. Sci. 2017, 32, 38–46. [Google Scholar] [CrossRef] [PubMed]
  115. Roma, C.; Rachiglio, A.M.; Pasquale, R.; Fenizia, F.; Iannaccone, A.; Tatangelo, F.; Antinolfi, G.; Parrella, P.; Graziano, P.; Sabatino, L.; et al. BRAF V600E mutation in metastatic colorectal cancer: Methods of detection and correlation with clinical and pathologic features. Cancer Biol. Ther. 2016, 17, 840–848. [Google Scholar] [CrossRef]
  116. Loupakis, F.; Moretto, R.; Aprile, G.; Muntoni, M.; Cremolini, C.; Iacono, D.; Casagrande, M.; Ferrari, L.; Salvatore, L.; Schirripa, M.; et al. Clinico-pathological nomogram for predicting BRAF mutational status of metastatic colorectal cancer. Br. J. Cancer 2016, 114, 30–36. [Google Scholar] [CrossRef] [PubMed]
  117. Cremolini, C.; Loupakis, F.; Antoniotti, C.; Lupi, C.; Sensi, E.; Lonardi, S.; Mezi, S.; Tomasello, G.; Ronzoni, M.; Zaniboni, A.; et al. FOLFOXIRI plus bevacizumab versus FOLFIRI plus bevacizumab as first-line treatment of patients with metastatic colorectal cancer: Updated overall survival and molecular subgroup analyses of the open-label, phase 3 TRIBE study. Lancet Oncol. 2015, 16, 1306–1315. [Google Scholar] [CrossRef]
  118. Benson, A.B.; Venook, A.P.; Al-Hawary, M.M.; Arain, M.A.; Chen, Y.-J.; Ciombor, K.K.; Cohen, S.; Cooper, H.S.; Deming, D.; Farkas, L.; et al. Colon Cancer, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2021, 19, 329–359. [Google Scholar] [CrossRef] [PubMed]
  119. Seligmann, J.; Fisher, D.; Smith, C.; Richman, S.; Elliott, F.; Brown, S.; Adams, R.; Maughan, T.; Quirke, P.; Cheadle, J.; et al. Investigating the poor outcomes ofBRAF-mutant advanced colorectal cancer: Analysis from 2530 patients in randomised clinical trials. Ann. Oncol. 2017, 28, 562–568. [Google Scholar] [CrossRef]
  120. Jones, J.C.; Renfro, L.A.; Al-Shamsi, H.O.; Schrock, A.B.; Rankin, A.; Zhang, B.Y.; Kasi, P.M.; Voss, J.S.; Leal, A.D.; Sun, J.; et al. Non-V600BRAF Mutations Define a Clinically Distinct Molecular Subtype of Metastatic Colorectal Cancer. J. Clin. Oncol. 2017, 35, 2624–2630. [Google Scholar] [CrossRef] [PubMed]
  121. Ros, J.; Baraibar, I.; Sardo, E.; Mulet, N.; Salvà, F.; Argilés, G.; Martini, G.; Ciardiello, D.; Cuadra, J.L.; Tabernero, J.; et al. BRAF, MEK and EGFR inhibition as treatment strategies in BRAF V600E metastatic colorectal cancer. Ther. Adv. Med. Oncol. 2021, 13, 1758835921992974. [Google Scholar] [CrossRef]
  122. Wu, Z.; Huang, M.; Gong, Y.; Lin, C.; Guo, W. BRAF and EGFR inhibitors synergize to increase cytotoxic effects and decrease stem cell capacities in BRAF(V600E)-mutant colorectal cancer cells. Acta Biochim. Biophys. Sin. 2018, 50, 355–361. [Google Scholar] [CrossRef]
  123. Van Cutsem, E.; Huijberts, S.; Grothey, A.; Yaeger, R.; Cuyle, P.-J.; Elez, E.; Fakih, M.; Montagut, C.; Peeters, M.; Yoshino, T.; et al. Binimetinib, Encorafenib, and Cetuximab Triplet Therapy for Patients with BRAF V600E–Mutant Metastatic Colorectal Cancer: Safety Lead-In Results From the Phase III BEACON Colorectal Cancer Study. J. Clin. Oncol. 2019, 37, 1460–1469. [Google Scholar] [CrossRef] [PubMed]
  124. Hyman, D.M.; Puzanov, I.; Subbiah, V.; Faris, J.E.; Chau, I.; Blay, J.-Y.; Wolf, J.; Raje, N.S.; Diamond, E.L.; Hollebecque, A.; et al. Vemurafenib in Multiple Nonmelanoma Cancers with BRAF V600 Mutations. N. Engl. J. Med. 2015, 373, 726–736. [Google Scholar] [CrossRef] [PubMed]
  125. Yaeger, R.; Cercek, A.; O’Reilly, E.M.; Reidy, D.L.; Kemeny, N.; Wolinsky, T.; Capanu, M.; Gollub, M.J.; Rosen, N.; Berger, M.F.; et al. Pilot Trial of Combined BRAF and EGFR Inhibition in BRAF-Mutant Metastatic Colorectal Cancer Patients. Clin. Cancer Res. 2015, 21, 1313–1320. [Google Scholar] [CrossRef]
  126. Hong, D.S.; Morris, V.K.; El Osta, B.; Sorokin, A.V.; Janku, F.; Fu, S.; Overman, M.J.; Piha-Paul, S.A.; Subbiah, V.; Kee, B.; et al. Phase IB Study of Vemurafenib in Combination with Irinotecan and Cetuximab in Patients with Metastatic Colorectal Cancer with BRAFV600E Mutation. Cancer Discov. 2016, 6, 1352–1365. [Google Scholar] [CrossRef]
  127. Wang, Z.; Qin, B.-D.; Ye, C.-Y.; Wang, M.-M.; Yuan, L.-Y.; Dai, W.-P.; Sun, L.; Liu, K.; Qin, W.-X.; Jiao, X.-D.; et al. Cetuximab and vemurafenib plus FOLFIRI (5-fluorouracil/leucovorin/irinotecan) for BRAF V600E-mutated advanced colorectal cancer (IMPROVEMENT): An open-label, single-arm, phase II trial. Eur. J. Cancer 2022, 163, 152–162. [Google Scholar] [CrossRef]
  128. Wang, P.-P.; Lin, C.; Wang, J.; Margonis, G.A.; Wu, B. BRAF Mutations in Colorectal Liver Metastases: Prognostic Implications and Potential Therapeutic Strategies. Cancers 2022, 14, 4067. [Google Scholar] [CrossRef] [PubMed]
  129. Kumari, P.; Ghosh, B.; Biswas, S. Nanocarriers for cancer-targeted drug delivery. J. Drug Target. 2015, 24, 179–191. [Google Scholar] [CrossRef]
  130. Pramanik, A.; Xu, Z.; Ingram, N.; Coletta, P.L.; Millner, P.A.; Tyler, A.I.I.; Hughes, T.A. Hyaluronic-Acid-Tagged Cubosomes Deliver Cytotoxics Specifically to CD44-Positive Cancer Cells. Mol. Pharm. 2022, 19, 4601–4611. [Google Scholar] [CrossRef]
  131. Pramanik, A.; Xu, Z.; Shamsuddin, S.H.; Khaled, Y.S.; Ingram, N.; Maisey, T.; Tomlinson, D.; Coletta, P.L.; Jayne, D.; Hughes, T.A.; et al. Affimer Tagged Cubosomes: Targeting of Carcinoembryonic Antigen Expressing Colorectal Cancer Cells Using In Vitro and In Vivo Models. ACS Appl. Mater. Interfaces 2022, 14, 11078–11091. [Google Scholar] [CrossRef]
  132. Encorafenib, Binimetinib and Cetuximab in Subjects with Previously Untreated BRAF-Mutant ColoRectal Cancer—Study Results—ClinicalTrials.gov. Available online: https://clinicaltrials.gov/ct2/show/results/NCT03693170?term=NCT03693170&draw=2&rank=1 (accessed on 28 October 2022).
  133. Zhang, B.; Zhang, L.; Chen, Y.; Qiao, X.; Zhao, S.; Li, P.; Liu, J.; Wen, X.; Yang, J. Corosolic acid inhibits colorectal cancer cells growth as a novel HER2/HER3 heterodimerization inhibitor. Br. J. Pharmacol. 2021, 178, 1475–1491. [Google Scholar] [CrossRef]
  134. Takegawa, N.; Yonesaka, K. HER2 as an Emerging Oncotarget for Colorectal Cancer Treatment After Failure of Anti-Epidermal Growth Factor Receptor Therapy. Clin. Color. Cancer 2017, 16, 247–251. [Google Scholar] [CrossRef]
  135. Siena, S.; Sartore-Bianchi, A.; Marsoni, S.; Hurwitz, H.; McCall, S.; Penault-Llorca, F.; Srock, S.; Bardelli, A.; Trusolino, L. Targeting the human epidermal growth factor receptor 2 (HER2) oncogene in colorectal cancer. Ann. Oncol. 2018, 29, 1108–1119. [Google Scholar] [CrossRef]
  136. Dong, Z.; Kong, L.; Wan, Z.; Zhu, F.; Zhong, M.; Lv, Y.; Zhao, P.; Shi, H. Somatic mutation profiling and HER2 status in KRAS-positive Chinese colorectal cancer patients. Sci. Rep. 2019, 9, 16894. [Google Scholar] [CrossRef] [PubMed]
  137. Greally, M.; Kelly, C.M.; Cercek, A. HER2: An emerging target in colorectal cancer. Curr. Probl. Cancer 2018, 42, 560–571. [Google Scholar] [CrossRef] [PubMed]
  138. Sartore-Bianchi, A.; Trusolino, L.; Martino, C.; Bencardino, K.; Lonardi, S.; Bergamo, F.; Zagonel, V.; Leone, F.; Depetris, I.; Martinelli, E.; et al. Dual-targeted therapy with trastuzumab and lapatinib in treatment-refractory, KRAS codon 12/13 wild-type, HER2-positive metastatic colorectal cancer (HERACLES): A proof-of-concept, multicentre, open-label, phase 2 trial. Lancet Oncol. 2016, 17, 738–746. [Google Scholar] [CrossRef] [PubMed]
  139. Siena, S.; Sartore-Bianchi, A.; Trusolino, L.; Martino, C.; Bencardino, K.; Lonardi, S.; Zagonel, V.; Leone, F.; Martinelli, E.; Ciardiello, F.; et al. Final Results of the HERACLES trial in HER2 amplified colorectal cancer. Ann. Oncol. 2016, 27, iv39. [Google Scholar] [CrossRef]
  140. My Pathway: A Study Evaluating Herceptin/Perjeta, Tarceva, Zelboraf/Cotellic, Erivedge, Alecensa, and Tecentriq Treatment Targeted against Certain Molecular Alterations in Participants with Advanced Solid Tumors—Tabular View—ClinicalTri-als.gov. Available online: https://clinicaltrials.gov/ct2/show/record/NCT02091141?term=NCT02091141&draw=2&rank=1 (accessed on 28 October 2022).
  141. Meric-Bernstam, F.; Hurwitz, H.; Raghav, K.P.S.; McWilliams, R.R.; Fakih, M.; VanderWalde, A.; Swanton, C.; Kurzrock, R.; Burris, H.; Sweeney, C.; et al. Pertuzumab plus trastuzumab for HER2-amplified metastatic colorectal cancer (MyPathway): An updated report from a multicentre, open-label, phase 2a, multiple basket study. Lancet Oncol. 2019, 20, 518–530. [Google Scholar] [CrossRef] [PubMed]
  142. André, T.; Shiu, K.-K.; Kim, T.W.; Jensen, B.V.; Jensen, L.H.; Punt, C.; Smith, D.; Garcia-Carbonero, R.; Benavides, M.; Gibbs, P.; et al. Pembrolizumab in Microsatellite-Instability–High Advanced Colorectal Cancer. N. Engl. J. Med. 2020, 383, 2207–2218. [Google Scholar] [CrossRef] [PubMed]
  143. Latham, A.; Srinivasan, P.; Kemel, Y.; Shia, J.; Bandlamudi, C.; Mandelker, D.; Middha, S.; Hechtman, J.; Zehir, A.; Dubard-Gault, M.; et al. Microsatellite Instability Is Associated with the Presence of Lynch Syndrome Pan-Cancer. J. Clin. Oncol. 2019, 37, 286–295. [Google Scholar] [CrossRef]
  144. Salem, M.E.; Bodor, J.N.; Puccini, A.; Xiu, J.; Goldberg, R.M.; Grothey, A.; Korn, W.M.; Shields, A.F.; Worrilow, W.M.; Kim, E.S.; et al. Relationship between MLH1, PMS2, MSH2 and MSH6 gene-specific alterations and tumor mutational burden in 1057 microsatellite instability-high solid tumors. Int. J. Cancer 2020, 147, 2948–2956. [Google Scholar] [CrossRef] [PubMed]
  145. Cocco, E.; Benhamida, J.; Middha, S.; Zehir, A.; Mullaney, K.; Shia, J.; Yaeger, R.; Zhang, L.; Wong, D.; Villafania, L.; et al. Colorectal Carcinomas Containing Hypermethylated MLH1 Promoter and Wild-Type BRAF/KRAS Are Enriched for Targetable Kinase Fusions. Cancer Res. 2019, 79, 1047–1053. [Google Scholar] [CrossRef] [PubMed]
  146. Narayanan, S.; Kawaguchi, T.; Peng, X.; Qi, Q.; Liu, S.; Yan, L.; Takabe, K. Tumor Infiltrating Lymphocytes and Macrophages Improve Survival in Microsatellite Unstable Colorectal Cancer. Sci. Rep. 2019, 9, 13455. [Google Scholar] [CrossRef]
  147. Kawakami, H.; Zaanan, A.; Sinicrope, F.A. Microsatellite Instability Testing and Its Role in the Management of Colorectal Cancer. Curr. Treat. Options Oncol. 2015, 16, 30. [Google Scholar] [CrossRef]
  148. Silveira, D.A.; Ribeiro, F.M.; Simão, M.; Mattos, V.L.D.; Góes, E.G. Expression of genes and pathways associated with the B7-CD28 superfamily in response to irradiation of blood cells using 137Cs. Int. J. Radiat. Biol. 2021, 97, 149–155. [Google Scholar] [CrossRef] [PubMed]
  149. Chen, L.; Han, X. Anti–PD-1/PD-L1 therapy of human cancer: Past, present, and future. J. Clin. Investig. 2015, 125, 3384–3391. [Google Scholar] [CrossRef]
  150. Bateman, A.C. Immune Checkpoint Inhibitor Therapy in Colorectal Cancer—The Role of Cellular Pathology. Int. J. Surg. Pathol. 2021, 29, 584–591. [Google Scholar] [CrossRef]
  151. Juneja, V.R.; McGuire, K.A.; Manguso, R.T.; LaFleur, M.W.; Collins, N.; Haining, W.N.; Freeman, G.J.; Sharpe, A.H. PD-L1 on tumor cells is sufficient for immune evasion in immunogenic tumors and inhibits CD8 T cell cytotoxicity. J. Exp. Med. 2017, 214, 895–904. [Google Scholar] [CrossRef]
  152. Bin Wang, H.; Yao, H.; Li, C.S.; Liang, L.X.; Zhang, Y.; Chen, Y.X.; Fang, J.-Y.; Xu, J. Rise of PD-L1 expression during metastasis of colorectal cancer: Implications for immunotherapy. J. Dig. Dis. 2017, 18, 574–581. [Google Scholar] [CrossRef]
  153. Omura, Y.; Toiyama, Y.; Okugawa, Y.; Yin, C.; Shigemori, T.; Kusunoki, K.; Kusunoki, Y.; Ide, S.; Shimura, T.; Fujikawa, H.; et al. Prognostic impacts of tumoral expression and serum levels of PD-L1 and CTLA-4 in colorectal cancer patients. Cancer Immunol. Immunother. 2020, 69, 2533–2546. [Google Scholar] [CrossRef]
  154. Ganesh, K.; Stadler, Z.K.; Cercek, A.; Mendelsohn, R.B.; Shia, J.; Segal, N.H.; Diaz, L.A., Jr. Immunotherapy in colorectal cancer: Rationale, challenges and potential. Nat. Rev. Gastroenterol. Hepatol. 2019, 16, 361–375. [Google Scholar] [CrossRef]
  155. Le, D.T.; Kim, T.W.; Van Cutsem, E.; Geva, R.; Jäger, D.; Hara, H.; Burge, M.; O’neil, B.; Kavan, P.; Yoshino, T.; et al. Phase II Open-Label Study of Pembrolizumab in Treatment-Refractory, Microsatellite Instability–High/Mismatch Repair–Deficient Metastatic Colorectal Cancer: KEYNOTE-164. J. Clin. Oncol. 2020, 38, 11–19. [Google Scholar] [CrossRef] [PubMed]
  156. Morse, M.A.; Hochster, H.; Benson, A. Perspectives on Treatment of Metastatic Colorectal Cancer with Immune Checkpoint Inhibitor Therapy. Oncologist 2020, 25, 33–45. [Google Scholar] [CrossRef] [PubMed]
  157. Diaz, L.A.; Shiu, K.-K.; Kim, T.-W.; Jensen, B.V.; Jensen, L.H.; Punt, C.; Smith, D.; Garcia-Carbonero, R.; Benavides, M.; Gibbs, P.; et al. Pembrolizumab versus chemotherapy for microsatellite instability-high or mismatch repair-deficient metastatic colorectal cancer (KEYNOTE-177): Final analysis of a randomised, open-label, phase 3 study. Lancet Oncol. 2022, 23, 659–670. [Google Scholar] [CrossRef]
  158. Overman, M.J.; McDermott, R.; Leach, J.L.; Lonardi, S.; Lenz, H.-J.; Morse, M.A.; Desai, J.; Hill, A.; Axelson, M.; Moss, R.A.; et al. Nivolumab in patients with metastatic DNA mismatch repair-deficient or microsatellite instability-high colorectal cancer (CheckMate 142): An open-label, multicentre, phase 2 study. Lancet Oncol. 2017, 18, 1182–1191. [Google Scholar] [CrossRef] [PubMed]
  159. Lenz, H.-J.; Van Cutsem, E.; Limon, M.L.; Wong, K.Y.M.; Hendlisz, A.; Aglietta, M.; García-Alfonso, P.; Neyns, B.; Luppi, G.; Cardin, D.B.; et al. First-Line Nivolumab Plus Low-Dose Ipilimumab for Microsatellite Instability-High/Mismatch Repair-Deficient Metastatic Colorectal Cancer: The Phase II CheckMate 142 Study. J. Clin. Oncol. 2022, 40, 161–170. [Google Scholar] [CrossRef]
Figure 1. Targeted Therapies in Colorectal Carcinoma. Explores the mechanisms involved in the pathophysiology and development of colorectal carcinoma, drug interventions, and their targets within these mechanisms. The drugs mentioned are those approved by the FDA and already used in specific therapeutic strategies to treat CRC. All of these are explored more extensively throughout this review. Produced with biorender.com (accessed on 5 September 2022).
Figure 1. Targeted Therapies in Colorectal Carcinoma. Explores the mechanisms involved in the pathophysiology and development of colorectal carcinoma, drug interventions, and their targets within these mechanisms. The drugs mentioned are those approved by the FDA and already used in specific therapeutic strategies to treat CRC. All of these are explored more extensively throughout this review. Produced with biorender.com (accessed on 5 September 2022).
Cancers 15 03023 g001
Table 1. Key Trials for Target Therapies. Summarizes the most commonly used target therapies in the treatment of mCRC by the NCCN guideline and some of its critical trials, exploring their specificities, such as characteristics, design, and results.
Table 1. Key Trials for Target Therapies. Summarizes the most commonly used target therapies in the treatment of mCRC by the NCCN guideline and some of its critical trials, exploring their specificities, such as characteristics, design, and results.
TargetAgentKey trialCharacteristicsNDesignComparisonPFSOSRR
EGFRCetuximabCRYSTAL NCT00154102mCRC
first-line
1198Phase III, multi-center, randomized, parallel assignment, open label.FX + Cetuximab vs. FX8.9
vs.
8.0
19.9 vs. 18.646.9% vs. 38.7%
PanitumumabPRIME NCT00364013mCRC first-line
(KRAS WT)
1183Phase III, multi-center, randomized, parallel assignment, open labelFX + Panitumumab vs. FX9.6
vs.
8.0
23.9 vs. 19.755.21%
vs. 47.68%
mCRC first-line
(KRAS Mutant)
7.3
vs. 8.8
15.5 vs. 19.339.53% vs. 40.2%
BRAF + MEKVemurafenibSWOG NCT02164916mCRC BRAFV600E-mutant106Phase II, multi center, randomized, crossover assignment, open label.CIH + Vemurafenib vs. CIH4.3 vs. 2.09.6 vs. 5.916% vs.
4%
Dabrafenib + TrametinibConcoran
NCT01750918
mCRC
BRAFV600E-mutant
43Phase I, open-labelDabrafenib3.5NR12%
Encorafenib + binimetinibBEACON CRC
NCT02928224
mCRC BRAFV600E-mutant702Phase III, multi-center, randomized, sequential assignment, open label.Encorafenib + Binimetinib +
Cetuximab vs.
Irinotecan/cetuximab
OR
FOLFIRI/Cetuximab (Investigator’s choice)
4.3 vs. 1.519.03 vs.
5.42
29% vs.
2%
HER2Trastuzumab + pertuzumabMyPathway
NCT02091141
mCRC HER2-amplified/
overexpressed
57Phase IIA, multi-center, non-randomized, parallel assignment, open label.Trastuzumab + pertuzumab2.911.532%
Trastuzumab + lapatinibHERACLES
NCT03225937
mCRC HER2 positive54Phase II, multi-center non-randomized, two sequential cohorts, open label.Trastuumab + lapatinib4.910.730%
VEGFBevacizumabAVEX
NCT00484939
mCRC elderly280Phase III, multi-center, randomized, parallel assignment, open labelBevacizumab + capecitabine
vs.
Capecitabine
9.1
vs.
5.1
20.7
vs.
16.8
19%
vs.
10%
RegorafenibCORRECT
NCT01103323
mCRC refractory to all treatment760Phase III, multi-center, randomized, parallel assignment, quadruple masking.Regorafenib + BSC
vs.
BSC
1.96 vs. 1.736.53 vs. 5.031% vs. 0.4%
ZIV-afliberceptVELOUR
NCT00561470
mCRC refractory to oxaliplatin treatment1226Phase III, multi center, randomized, parallel assignment, triple maskingFOLFIRI + aflibercept
vs.
FOLFIRI + placebo
6.90
vs.
4.67
13.50 vs. 12.0619.8%
vs.
11.1%
RamucirumabRAISE
NCT01183780
mCRC refractory to all treatment1072Phase III, multi center, randomized, parallel assignment,
quadruple masking
FOLFIRI + Ramucirumab
vs.
FOLFIRI +
placebo
5.7
vs.
4.5
13.3
vs.
11.7
13.4%
vs.
12.5%
PD-1PembrolizumabKEYNOTE-164
NCT02460198
locally advanced unresectable CRC or mCRC + treatment refractory or dMMR/MSI-H124Phase II, multi center, non-randomized, single group assignment, open labelPembrolizumab2.331.432.8%
NivolumabCheckMate142
NCT0206188
mCRC dMMR/MSI-H74Phase II, multi center, non-Randomized, parallel assignment, open labelNivolumab36% *49% *39%
PD-1 + CTLA-4Nivolumab + IpilimumabCheckMate142
NCT0206188
mCRC dMMR/MSI-H45Phase II, multi center, non-Randomized, parallel assignment, open labelNivolumab 3 mg/kg + 1 mg/kg Ipilimumab (4 doses) followed by Nivolumab 3 mg/kg51% *72% *71%
119Nivolumab 3 mg/kg + Ipilimumab 1 mg/kg54% *71% *65%
Abbreviations: MOA—mechanism of action PFS—Progression-free survival OS—Overall survival RR—Response rate mCRC—metastatic Colorectal Cancer FX—FOLFOX CIH—Cetuximab, Irinotecan Hydrochloride. BSC—Best Supportive Care *—48 months rate OS—survival RR—response rate MSI-H—Microsatellite instability-high PFS—Progression free survival PD-1—Programmed death-1 dMMR—deficient mismatch repair CTLA-4—Cytotoxic T lymphocyte-associated antigen 4.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Manzi, J.; Hoff, C.O.; Ferreira, R.; Pimentel, A.; Datta, J.; Livingstone, A.S.; Vianna, R.; Abreu, P. Targeted Therapies in Colorectal Cancer: Recent Advances in Biomarkers, Landmark Trials, and Future Perspectives. Cancers 2023, 15, 3023. https://doi.org/10.3390/cancers15113023

AMA Style

Manzi J, Hoff CO, Ferreira R, Pimentel A, Datta J, Livingstone AS, Vianna R, Abreu P. Targeted Therapies in Colorectal Cancer: Recent Advances in Biomarkers, Landmark Trials, and Future Perspectives. Cancers. 2023; 15(11):3023. https://doi.org/10.3390/cancers15113023

Chicago/Turabian Style

Manzi, Joao, Camilla O. Hoff, Raphaella Ferreira, Agustin Pimentel, Jashodeep Datta, Alan S. Livingstone, Rodrigo Vianna, and Phillipe Abreu. 2023. "Targeted Therapies in Colorectal Cancer: Recent Advances in Biomarkers, Landmark Trials, and Future Perspectives" Cancers 15, no. 11: 3023. https://doi.org/10.3390/cancers15113023

APA Style

Manzi, J., Hoff, C. O., Ferreira, R., Pimentel, A., Datta, J., Livingstone, A. S., Vianna, R., & Abreu, P. (2023). Targeted Therapies in Colorectal Cancer: Recent Advances in Biomarkers, Landmark Trials, and Future Perspectives. Cancers, 15(11), 3023. https://doi.org/10.3390/cancers15113023

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop