Search Results (394)

Background: Colorectal liver metastasis (CRLM) represents a major clinical challenge in oncology, affecting 25–50% of colorectal cancer patients and significantly impacting survival. While multimodal therapies—including surgical resection, systemic chemotherapy, and local ablative techniques—have improved outcomes, prognosis remains heterogeneous due to variations in tumor biology, patient factors, and institutional practices. Methods: This review synthesizes current evidence on prognostic factors influencing CRLM management, encompassing clinical (e.g., tumor burden, anatomic distribution, timing of metastases), biological (e.g., CEA levels, inflammatory markers), and molecular (e.g., RAS/BRAF mutations, MSI status, HER2 alterations) determinants. Results: Key findings highlight the critical role of molecular profiling in guiding therapeutic decisions, with RAS/BRAF mutations predicting resistance to anti-EGFR therapies and MSI-H status indicating potential responsiveness to immunotherapy. Emerging tools like circulating tumor DNA (ctDNA) and radiomics offer promise for dynamic risk stratification and early recurrence detection, while the gut microbiome is increasingly recognized as a modulator of treatment response. Conclusions: Despite advancements, challenges persist in standardizing resectability criteria and integrating multidisciplinary approaches. Current guidelines (NCCN, ESMO, ASCO) emphasize personalized strategies but lack granularity in terms of incorporating novel biomarkers. This exhaustive review underscores the imperative for the development of a unified, biomarker-integrated framework to refine CRLM management and improve long-term outcomes. Full article

Background/Objectives: The RTK-RAS signaling cascade is a central axis in colorectal cancer (CRC) pathogenesis, governing cellular proliferation, survival, and therapeutic resistance. Somatic alterations in key pathway genes—including KRAS, NRAS, BRAF, and EGFR—are pivotal to clinical decision-making in precision oncology. However, the integration of these genomic events with clinical and demographic data remains hindered by fragmented resources and a lack of accessible analytical frameworks. To address this challenge, we developed AI-HOPE-RTK-RAS, a domain-specialized conversational artificial intelligence (AI) system designed to enable natural language-based, integrative analysis of RTK-RAS pathway alterations in CRC. Methods: AI-HOPE-RTK-RAS employs a modular architecture combining large language models (LLMs), a natural language-to-code translation engine, and a backend analytics pipeline operating on harmonized multi-dimensional datasets from cBioPortal. Unlike general-purpose AI platforms, this system is purpose-built for real-time exploration of RTK-RAS biology within CRC cohorts. The platform supports mutation frequency profiling, odds ratio testing, survival modeling, and stratified analyses across clinical, genomic, and demographic parameters. Validation included reproduction of known mutation trends and exploratory evaluation of co-alterations, therapy response, and ancestry-specific mutation patterns. Results: AI-HOPE-RTK-RAS enabled rapid, dialogue-driven interrogation of CRC datasets, confirming established patterns and revealing novel associations with translational relevance. Among early-onset CRC (EOCRC) patients, the prevalence of RTK-RAS alterations was significantly lower compared to late-onset disease (67.97% vs. 79.9%; OR = 0.534, p = 0.014), suggesting the involvement of alternative oncogenic drivers. In KRAS-mutant patients receiving Bevacizumab, early-stage disease (Stages I–III) was associated with superior overall survival relative to Stage IV (p = 0.0004). In contrast, BRAF-mutant tumors with microsatellite-stable (MSS) status displayed poorer prognosis despite higher chemotherapy exposure (OR = 7.226, p < 0.001; p = 0.0000). Among EOCRC patients treated with FOLFOX, RTK-RAS alterations were linked to worse outcomes (p = 0.0262). The system also identified ancestry-enriched noncanonical mutations—including CBL, MAPK3, and NF1—with NF1 mutations significantly associated with improved prognosis (p = 1 × 10⁻⁵). Conclusions: AI-HOPE-RTK-RAS exemplifies a new class of conversational AI platforms tailored to precision oncology, enabling integrative, real-time analysis of clinically and biologically complex questions. Its ability to uncover both canonical and ancestry-specific patterns in RTK-RAS dysregulation—especially in EOCRC and populations with disproportionate health burdens—underscores its utility in advancing equitable, personalized cancer care. This work demonstrates the translational potential of domain-optimized AI tools to accelerate biomarker discovery, support therapeutic stratification, and democratize access to multi-omic analysis. Full article

Background/Objectives: The resistance mutations EGFR^{L858R/T790M/C797S} in epidermal growth factor receptor (EGFR) are key factors in the reduced efficacy of Osimertinib. Predicting the inhibitory effects of Osimertinib derivatives against these mutations is crucial for the development of more effective inhibitors. This study aims to predict the inhibitory effects of Osimertinib derivatives against EGFR^{L858R/T790M/C797S} mutations. Methods: Six models were established using heuristic method (HM), random forest (RF), gene expression programming (GEP), gradient boosting decision tree (GBDT), polynomial kernel function support vector machine (SVM), and mixed kernel function SVM (MIX-SVM). The descriptors for these models were selected by the heuristic method or XGBoost. Comprehensive learning particle swarm optimizer was adopted to optimize hyperparameters. Additionally, the internal and external validation were performed by leave-one-out cross-validation ($Q_{LOO}^2$), 5-fold cross validation ($Q_{5-fold}^2$) and concordance correlation coefficient (CCC), $Q_{F1}^2$, and $Q_{F2}^2$. The properties of novel EGFR inhibitors were explored through molecular docking analysis. Results: The model established by MIX-SVM whose kernel function is a convex combination of three regular kernel functions is best: $R^2$ and RMSE for training set and test set are 0.9445, 0.1659 and 0.9490, 0.1814, respectively; $Q_{LOO}^2$, $Q_{5-fold}^2$, CCC, $Q_{F1}^2$, and $Q_{F2}^2$ are 0.9107, 0.8621, 0.9835, 0.9689, and 0.9680. Based on these results, the IC₅₀ values of 162 newly designed compounds were predicted using the HM model, and the top four candidates with the most favorable physicochemical properties were subsequently validated through PEA. Conclusions: The MIX-SVM method will provide useful guidance for the design and screening of novel EGFR^{L858R/T790M/C797S} inhibitors. Full article

Central nervous system metastases involving the brain parenchyma and leptomeninges are common in non-small cell lung cancer, especially cases with EGFR mutations. Here, we examine treatment options for EGFR-mutated non-small cell lung cancer patients with central nervous system metastases, highlighting the efficacy of third-generation EGFR-targeted tyrosine kinase inhibitors. Furthermore, we examine the interplay of this modality with chemotherapy or radiation in resistant cases. Full article

Background: Lung cancer has the highest morbidity and mortality of all tumors, and the development of TKI drugs targeting EGFR activating mutations has brought lung cancer treatment into the targeted era. In view of their low efficacy and susceptibility to drug resistance, there is an urgent need to find strategies to increase their efficacy and reduce the incidence of drug resistance. Methods: In this study, we examined the distribution and probability of EGFR mutations in non-small cell lung cancer patients in the cBioPortal database and compared the survival prognosis of patients with normal and abnormal EGFR, NSCLC patients treated with and without TKI, and NSCLC patients with different EGFR gene copy numbers. We established a mouse lung cancer model and examined the histomorphological characteristics of lung tissues via hematoxylin and eosin staining. Additionally, changes in the copy number of the EGFR gene and its protein expression levels were detected using RT-qPCR and Western blotting. Furthermore, we quantified the concentration of the EGFR protein using ELISA. Results: We found no significant advantage of EGFR-TKI therapy over first-line chemotherapeutic agents in patients with EGFR-abnormal NSCLC. The reason for this may be related to the abnormal EGFR gene copy number; the higher the copy number increases, the worse the survival prognosis of the patients. In molecular biology experiments, we demonstrated that ginsenoside Rg3 down-regulated the copy number of 18, 19, 20, and 21 exons and protein expression of EGFR in lung adenocarcinoma cells. The results of in vivo pharmacodynamic assays confirmed that sequential administration of ginsenoside Rg3 with TKI drugs could achieve a gainful complementary effect. Conclusions: Ginsenoside Rg3 down-regulates the copy number of EGFR important exons in EGFR-mutant cells of lung adenocarcinoma and reduces EGFR protein expression, thus providing a high gainful complementary effect in combination with EGFR-TKI. Full article

Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) is the major subtype, accounting for more than 85% of all lung cancer cases. Recent advances in precision oncology have allowed NSCLC patients bearing specific oncogenic epidermal growth factor receptor (EGFR) mutations to respond well to EGFR tyrosine kinase inhibitors (TKIs). Due to the high EGFR mutation frequency (up to more than 50%) observed particularly in Asian NSCLC patients, EGFR-TKIs have produced unprecedented clinical responses. Depending on their binding interactions with EGFRs, EGFR-TKIs are classified as reversible (first-generation: gefitinib and erlotinib) or irreversible inhibitors (second-generation: afatinib and dacomitinib; third-generation: osimertinib). While the discovery of osimertinib represents a breakthrough in the treatment of NSCLC, most patients eventually relapse and develop drug resistance. Novel strategies to overcome osimertinib resistance are urgently needed. In Asian countries, the concomitant use of Western medicine and traditional Chinese medicine (TCM) is very common. Ganoderma lucidum (Lingzhi) and Coriolus versicolor (Yunzhi) are popular TCMs that are widely consumed by cancer patients to enhance anticancer efficacy and alleviate the side effects associated with cancer therapy. The bioactive polysaccharides and triterpenes in these medicinal mushrooms are believed to contribute to their anticancer and immunomodulating effects. This review presents the latest update on the beneficial combination of Lingzhi/Yunzhi and EGFR-TKIs to overcome drug resistance. The effects of Lingzhi/Yunzhi on various oncogenic signaling pathways and anticancer immunity, as well as their potential to overcome EGFR-TKI resistance, are highlighted. The potential risk of herb–drug interactions could become critical when cancer patients take Lingzhi/Yunzhi as adjuvants during cancer therapy. The involvement of drug transporters and cytochrome P450 enzymes in these herb–drug interactions is summarized. Finally, we also discuss the opportunities and future prospects regarding the combined use of Lingzhi/Yunzhi and EGFR-TKIs in cancer patients. Full article

Background/Objectives: Lung cancer is a highly diverse disease, and reliable preclinical models that accurately reflect tumor characteristics are essential for studying lung cancer biology and testing new therapies. This study aimed to establish patient-derived tumor organoids (PDTOs) using small biopsy samples and surgical specimens to create a model system that preserves the genetic and histological features of the original tumors. Methods: PDTOs were generated from 163 lung cancer specimens, including 109 samples obtained using endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) or bronchoscopy, 52 surgical specimens, and 2 pleural fluid samples. The organoid establishment rate beyond passage three was assessed, and histological subtypes and genetic profiles were analyzed using immunohistochemical staining and targeted exome sequencing. Results: The overall PDTO establishment rate was 34.4% (56/163), and 44.6% (25/56) of these organoids retained the histological and genetic features of the parental tumors. Genetic analysis identified key mutations, including KRAS G12C, EGFR L858R, MET exon 14 skipping mutation, and ROS1 fusion. PDTOs successfully formed tumors in mice while maintaining the genetic characteristics of the original tumors. Co-culture of PDTOs with cancer-associated fibroblasts (CAFs) resulted in increased resistance to paclitaxel. In the co-culture model of PDTOs with immune cells, dose-dependent growth inhibition of PDTOs was observed in response to immune checkpoint inhibitors. Conclusions: PDTOs established from small biopsy and surgical specimens serve as a valuable model for studying lung cancer biology, tumor microenvironment interactions, and drug response. This model has the potential to improve personalized treatment strategies. Full article

Although immunotherapy has led to a breakthrough in the treatment of NSCLC, fast disease progression in some patients remains problematic. Great efforts are being made to identify the mechanisms of immune resistance and to establish new predictive and prognostic biomarkers. The aim of this study was to evaluate the association between PD-L1 expression, genetic alterations, and prognosis in patients diagnosed with metastatic NSCLC. PD-L1 expression and genetic profiling using NGS were assessed in 50 patients with advanced NSCLC who were negative for EGFR mutations. According to this study results, positive PD-L1 expression was detected in 62% of cases, whereas high TMB was detected in 34% of cases. Targetable mutations were detected in 33.4% of cases. The TP53 mutation was more likely to be found in tumours with higher PD-L1 and TMB levels (median 45 vs. 0, p = 0.005; median 10 vs. 4.5, p = 0.008, respectively). Meanwhile, STK11 mutation was associated with lower PD-L1 and higher TMB levels (median 0 vs. 17.5, p = 0.019; median 11.5 vs. 6, p = 0.047). Fast disease progression was observed in 22.2% of cases when immunotherapy alone or combined with chemotherapy was administered, with the most frequently detected TP53 (87.5%), STK11 (37.5%), and KEAP1 (37.5%) mutations in this part of the population. Progressive disease was more likely to be found in patients with KEAP1 mutation than in those with wild-type KEAP1 (75% vs. 18.8%, p = 0.02). To conclude, significant associations were found between PD-L1, TMB statuses and mutations in STK11 and TP53. Fast disease progression was established in 1/5 of the entire population treated with immunotherapy or chemo-immunotherapy. TP53, STK11, and KEAP1 mutations were most frequently detected in patients with fast disease progression. The KEAP1 mutation was associated with progressive disease in patients with advanced NSCLC. Our results suggest that a specific genetic profile could serve as a predictor of fast progression in a selected group of patients. Full article

Background: Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) significantly enhance the median survival of patients with lung adenocarcinoma (ADC) that harbor EGFR-sensitive mutations. However, most patients inevitably experience tumor relapse owing to drug resistance. We aimed to identify potential serum biomarkers for predicting post-EGFR-TKI treatment relapse in patients with advanced-stage lung ADC. Methods: Among 27 patients, including 6 and 21 with early and late relapse, respectively, differentially expressed proteins between patients with early and late relapses were identified using liquid chromatography and tandem mass spectrometry and subsequently validated using Western blotting. Predictive ability was assessed using the receiver operating characteristic curve and area under the curve (AUC) analysis. The association between the clinical variables and treatment response was evaluated using the chi-square test. Results: The serum expression levels of the translocated promoter region (TPR), junction plakoglobin (JUP), and fibrinogen alpha chain (FGA) were significantly higher in patients with late rather than early relapse. The findings indicated that TPR and FGA exhibited good diagnostic performance, with AUCs of 0.946 (p = 0.002; 95% confidence interval [CI], 0.84–1.05) and 0.809 (p = 0.034; 95% CI, 0.65–0.97), respectively. Conclusions: Our results suggest that the TPR and FGA levels are potential predictors of post-EGFR-TKI treatment relapse. Full article

Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) have shown clinical activity for patients with EGFR-mutated non-small-cell lung cancer (NSCLC). However, the development of resistance to EGFR-TKIs is almost inevitable, posing a significant barrier to long-term survival. Local ablative therapy (LAT) may facilitate the prolonged survival of patients with oligometastatic NSCLC. Therapeutic combinations of EGFR-TKIs and LAT for residual disease have been suggested to be potentially effective in EGFR-mutated NSCLC with induced oligometastatic disease, wherein a few lesions remain following initial EGFR-TKI treatment. Various resistance pathways for third-generation EGFR-TKIs including osimertinib, current standard of care for patients with EGFR-mutated NSCLC, have also been identified. In addition to resistance mechanisms, the disease-progression pattern may be an essential element for achieving long-term response and survival. Oligo-progressive disease is a state in which only a few lesions become resistant, whereas many lesions remain controlled with effective systemic therapy. Previous studies have shown that LAT for all oligo-progressive lesions could provide survival benefits. This review discusses the current treatment options and potential future therapeutic developments for patients with EGFR-mutated NSCLC who have synchronous oligometastatic disease, oligo-residual disease during treatment with EGFR-TKIs, and oligo-progressive disease following resistance to EGFR-TKIs. Full article

Epidermal growth factor receptor (EGFR) mutations occur in approximately 10–20% of Caucasian and up to 50% of Asian patients with oncogene-addicted non-small cell lung cancer (NSCLC). Most frequently, alterations include exon 19 deletions and exon 21 L858R mutations, which confer sensitivity to EGFR tyrosine kinase inhibitors (TKIs). In the last decade, the third-generation EGFR-TKI osimertinib has represented the first-line standard of care for EGFR-mutant NSCLC. However, the development of acquired mechanisms of resistance significantly impacts long-term outcomes and represents a major therapeutic challenge. The mesenchymal–epithelial transition (MET) gene amplification and MET protein overexpression have emerged as prominent EGFR-independent (off-target) resistance mechanisms, detected in approximately 25% of osimertinib-resistant NSCLC. Noteworthy, variability in diagnostic thresholds, which differ between fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS) platforms, complicates its interpretation and clinical applicability. To address MET-driven resistance, several therapeutic strategies have been explored, including MET-TKIs, antibody–drug conjugates (ADCs), and bispecific monoclonal antibodies, and dual EGFR/MET inhibition has emerged as the most promising strategy. In this context, the bispecific EGFR/MET antibody amivantamab has demonstrated encouraging efficacy, regardless of MET alterations. Furthermore, the combination of the ADC telisotuzumab vedotin and osimertinib has been associated with activity in EGFR-mutant, c-MET protein-overexpressing, osimertinib-resistant NSCLC. Of note, several novel agents and combinations are currently under clinical development. The success of these targeted approaches relies on tissue re-biopsy at progression and accurate molecular profiling. Yet, tumor heterogeneity and procedural limitations may challenge the feasibility of re-biopsy, making biomarker-agnostic strategies viable alternatives. Full article

Background and Clinical Significance: Non-small-cell lung cancer (NSCLC) with EGFR mutations, particularly de novo compound mutations such as exon 19 deletions (Ex19del) with T790M substitutions, present a significant clinical challenge due to resistance to many treatments. While treating these patients, the administration of osimertinib, a third-generation EGFR inhibitor, after immunotherapy can lead to unique immune-related adverse events (irAEs), such as pneumonitis and, rarely, hepatitis. Case Presentation: A 36-year-old Filipino woman presented with metastatic NSCLC harboring de novo Ex19del and T790M mutations. Despite initial therapy with carboplatin and paclitaxel, followed by chemoimmunotherapy, the patient’s disease progressed. She subsequently developed severe hepatitis from osimertinib after her prior immunotherapy with pembrolizumab. After the hepatitis resolved with high-dose steroids, osimertinib was switched to afatinib, but her disease rapidly progressed with new metastases. A second attempt at osimertinib rechallenge, with concomitant prednisone, resulted in substantial disease control, including improved leptomeningeal disease (LMD) and no recurrence of hepatitis. Conclusions: This case underscores the feasibility of rechallenging with osimertinib in patients who experience adverse events such as hepatotoxicity, provided that appropriate management strategies, such as steroid therapy, are employed. The successful rechallenge in this case highlights the potential of osimertinib as a viable option in advanced EGFR-mutant NSCLC, even after prior treatment-related complications. Full article

Abnormal expressions and genetic mutations of EGFR are broadly involved in the progression of many human solid tumors, which has led to the development of small molecule inhibitors (TKIs). However, patients’ tumors usually develop resistance to targeted therapeutic TKIs after a period of treatment, mostly due to secondary mutations in EGFR. To date, three major and prevalent point mutations in EGFR, including L858R, T790M, and C797S, impact the use of TKIs in non-small cell lung cancer patients. Although at least four generations of TKIs have been designed and developed by targeting these mutations, how each mono, dual, or triple variant responds to clinical TKIs remains largely undeciphered. To fill this gap, we constructed a series of EGFR mutants and assessed their responses to clinical TKIs in vitro. The first-generation TKI, erlotinib, completely blocked the autophosphorylation of WT, L858R, C797S, and C797S/L858R, but only partially, if at all, in EGFR containing the T790M mutation alone or in combination. The third generation, osimertinib, completely abolished the autophosphorylation of WT, T790M, L858R, and T790M/L858R. It also significantly inhibited C797S and C790S/L858R, but had no effect on T790M/C797S or T790M/C797S/L858R. EAI045, as the fourth-generation TKI, almost completely inhibited WT and all mutants in complete growth media, but EGF-mediated phosphorylation of WT, C797S, and C797S/L858R were only partially inhibited in quiescence media, while the other mutants were fully inhibited. Furthermore, the abolishment of the enhanced tolerance to Dox in cells transiently expressing T790M/L858R and T790M/C797S/L858R by EAI045 suggests that their enhanced autophosphorylation is involved in their resistant ability. These findings provide some insights into how patients carrying typical mutations should be correctly and efficiently treated and why patients present side effects (because of non-specific inhibitory effects on cells without EGFR mutations). Full article

Background: Anti-EGFR therapy, combined with chemotherapy, represents the standard therapeutic approach for triple wild-type (KRAS/NRAS and BRAF), left-sided, microsatellite stable (MSS) metastatic colorectal cancer (mCRC). However, acquired resistance develops in approximately 50% of patients. This study evaluated the efficacy of anti-EGFR therapy re-challenge and analyzed circulating tumor DNA (ctDNA) for potential resistance mechanisms. Methods: Eleven patients with triple wild-type, MSS, HER2-negative, left-sided mCRC were included. All patients received Cetuximab with chemotherapy as the first-line treatment, with three patients subsequently receiving Cetuximab re-challenge. Twenty-one plasma samples were collected at baseline and at each response assessment for retrospective ctDNA analysis using next-generation sequencing with a 16-gene panel. Results: Genetic alterations were detected in only 14.2% of ctDNA samples. In one re-challenge patient, the KRAS: c.35G>A mutation appeared during progression. No RAS mutations were identified in four patients who progressed on first-line Cetuximab treatment. Conclusions: This preliminary study suggests that clinically based anti-EGFR re-challenge may benefit selected mCRC patients. The low detection rate of resistance-conferring mutations indicates potential alternative resistance mechanisms beyond RAS pathway alterations. Our findings, while limited by sample size and the retrospective design of ctDNA testing, contribute to the growing evidence supporting anti-EGFR re-challenge strategies in mCRC management. Full article

Acute PM2.5 exposure has been implicated in lung cancer progression, yet its impact on genetically distinct NSCLC cells remains underexplored. This study investigates how mutation-specific transcriptional responses influence susceptibility to PM2.5-induced oncogenic alterations, focusing on A549 and NCI-H1975 cells. This provides preliminary insight into the transcriptomic effects of acute PM2.5 exposure in NSCLC cells with distinct oncogenic mutations (A549 and NCI-H1975), serving as a guide for understanding mutation-specific responses to environmental stress. Cells were exposed to PM2.5 (200 µg/mL, 24 h), followed by RNA sequencing and analysis. Gene ontology and pathway enrichment analyses were conducted to identify key molecular alterations associated with tumour progression. NCI-H1975 cells exhibited a stronger transcriptional response, with a higher fold change in differentially expressed genes (DEGs), indicating greater PM2.5 susceptibility. Upregulated genes were linked to oxidative stress, carcinogen activation, metabolic reprogramming, and therapy resistance, reinforcing tumour survival under PM2.5 stress. Conversely, the downregulation of tumour suppressor genes suggests immune suppression and potential immunotherapy resistance. This study reveals that acute PM2.5 exposure induces mutation-specific transcriptomic alterations in NSCLC, with EGFR-mutant cells exhibiting heightened oxidative stress, metabolic shifts, and immune evasion. The upregulation of key genes highlights the profound molecular impact of short-term exposure, paving the way for future studies on pollution-driven oncogenic mechanisms and resistance pathways. Full article