Search Results (262)

Background/Objectives: Several trials have highlighted the importance of PARP inhibitors (PARPi) in the treatment of BRCA-associated breast cancers (BC), initiating changes in practice. However, data on the real-life outcomes of PARPi therapy is limited. In this study, we characterized the clinical characteristics and outcomes of patients with advanced BC and germline BRCA pathogenic variants (PVs) who received PARPi therapy. Methods: We conducted a retrospective single-institution cohort study of patients with advanced BC and germline BRCA1/2 PVs treated with PARPi. Outcomes included objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Survival was estimated using Kaplan–Meier methods, and prognostic factors were evaluated using Cox regression analysis. Results: Of the 107 patients treated with PARPi, 48 (44.9%) and 59 (55.1%) had BRCA1 and BRCA2 PVs, respectively. Ninety-seven patients (90.7%) had invasive ductal carcinoma and 42 (39.3%) had triple-negative BC. Nineteen (17.8%) patients had de novo metastatic BC. Sixty-two (57.9%) patients received at least one line of systemic therapy before PARPi; 24 (22.4%) patients received prior platinum. ORR was 62.6%, and the median duration of response (DoR) was 7 months (range, 2.1–96.2). The median PFS was 9 months (95% CI, 6.9–10.5) and median OS was 25.8 months (95% CI, 18.7–31.5). In multivariable models for PFS, bone metastases (HR = 2.25; 95% CI, 1.40–3.61; p = 0.0008) and lung metastases (HR = 2.40; 95% CI, 1.45–3.98; p = 0.0007) were independently associated with increased risk of progression or death. In multivariable models for OS, brain metastases (HR = 3.54; 95% CI, 1.59–7.90; p = 0.0020), bone metastases (HR = 2.22; 95% CI, 1.27–3.88; p = 0.0050), and lung metastases (HR = 2.38; 95% CI, 1.38–4.11; p = 0.0018), were independently associated with increased risk of death. Conclusions: The clinical outcomes of our real-world patients are similar to those reported in previous clinical trials. In addition, metastatic site distribution was independently prognostic for survival outcomes and may support baseline risk stratification at the time of PARPi initiation. Further studies of predictive markers of response and resistance, as well as sequencing with platinums and combinations with other targeted agents, are needed to optimize the benefits of PARPi in this patient population. Full article

Background/Objectives: Regadenoson is increasingly used as a vasodilator stress agent for perfusion cardiac magnetic resonance (CMR) imaging due to its favorable pharmacologic profile. However, its long-term prognostic value in patients with myocardial ischemia remains insufficiently established. Methods: We retrospectively analyzed all regadenoson stress-CMR studies performed at our institution between May 2017 and July 2020, including patients with follow-up longer than three months. Inducible ischemia and late gadolinium enhancement (LGE) were assessed using standardized criteria. The primary composite endpoint included cardiovascular death, non-fatal myocardial infarction, late coronary revascularization (≥3 months after CMR), or hospitalization for unstable angina. Event-free survival was analyzed with Kaplan–Meier curves, and prognostic factors were evaluated using a Fine–Gray competing-risks model. Results: Of 705 examinations, 698 were eligible, and 517 patients (78.5%) completed follow-up over a median of 1.93 years (IQR 1.37–2.79). Inducible ischemia was identified in 142 patients (27.5%). During follow-up, 38 composite events occurred. Event incidence was significantly higher in patients with ischemia (109.6 events/1000 person-years; 95% CI 75.7–158.7) than in those without (13.3 events/1000 person-years; 95% CI 7.2–24.7; RR 8.25; 95% CI 4.01–16.98; p < 0.001). In multivariable analysis, inducible ischemia independently predicted adverse outcomes (HR 4.50; 95% CI 1.86–10.9; p = 0.001), whereas LGE was not independently associated (HR 1.28; 95% CI 0.46–3.57; p = 0.63). Conclusions: Regadenoson stress-CMR provides robust medium-term risk stratification in patients with suspected or known coronary artery disease. Detection of inducible ischemia strongly predicts major cardiovascular events, underscoring its prognostic and clinical relevance. Full article

Background/Objectives: Central Nervous System (CNS) relapse represents a severe and often fatal complication of Diffuse Large B-Cell Lymphoma (DLBCL). This study aimed to evaluate clinical, biological, and treatment-related factors associated with progression-free survival (PFS) until CNS relapse in patients with DLBCL. Methods: A retrospective cohort study was conducted using clinical data from adult DLBCL patients evaluated and treated at the Regional Institute of Oncology, Iași, Romania, between 2015 and 2023. Associations between clinical, biological, and treatment-related variables and CNS relapse were evaluated using univariate and multivariable Cox proportional hazards models, Fine–Gray competing-risk analyses, and propensity score-based methods to address confounding by indication for CNS prophylaxis. Results: Twenty-six CNS relapse events (6.3%) and 72 deaths without prior CNS relapse occurred over a median follow-up of 12 months. In the prespecified reduced multivariable Cox model, non-R-CHOP regimens (HR 4.57, 95% CI 1.67–12.52; p = 0.003) and high CNS-IPI scores (HR 4.70, 95% CI 1.14–19.46; p = 0.033) were independently associated with CNS relapse. The 20-month cumulative incidence of CNS relapse was 7.0% in the R-CHOP-like group versus 35.2% in the non-R-CHOP group (Gray’s test p < 0.001). Fine–Gray modeling confirmed the association for non-R-CHOP regimens (SHR 3.38, 95% CI 1.21–9.45; p = 0.02). Cell-of-origin subtype, double-expressor phenotype, and Ki-67 were not significantly associated with CNS relapse. Conclusions: High CNS-IPI and treatment with non-R-CHOP regimens independently predicted earlier CNS relapse. Future multicenter studies with molecular profiling are needed to refine CNS risk stratification. Full article

Objective: To evaluate the prognostic utility of the five-item modified Frailty Index (mFI-5) for postoperative outcomes in older adults undergoing posterior lumbar interbody fusion (PLIF) for degenerative lumbar disease and to develop an interpretable preoperative risk model for medical complications (CxME). Methods: We retrospectively reviewed consecutive patients aged ≥65 years who underwent PLIF for lumbar spondylosis at a single tertiary institution. Baseline demographics, comorbidities, symptoms, American Society of Anesthesiologists (ASA) physical status, bone mineral density, antithrombotic use, perioperative laboratory findings, and operative variables were collected. CxME were defined as Clavien–Dindo grade ≥ II complications occurring during index hospitalization or within 30 days postoperatively. mFI-5 was calculated from five preoperative variables and stratified as 0, 1, and ≥2. Multivariable logistic regression was used to identify independent predictors of CxME. Results: Among 255 patients (mean age 72.6 years), 53 (20.8%) developed CxME. Patients with CxME were older and had higher rates of diabetes mellitus and preoperative dependency. mFI-5 ≥ 2 was more frequent in patients with CxME than in those without (66.0% vs. 27.3%, p < 0.001). Higher frailty was associated with older age, greater comorbidity burden, higher ASA class, lower preoperative hemoglobin, greater transfusion exposure, longer hospital stay, and a higher incidence of CxME (14.0%, 9.6%, and 38.9% for mFI-5 scores 0, 1, and ≥2, respectively; p < 0.001). In multivariable analysis, age (OR 1.133, 95% CI 1.055–1.216; p < 0.001) and mFI-5 (OR 2.103, 95% CI 1.387–3.188; p < 0.001) independently predicted CxME. The Age + mFI-5 model showed fair discrimination (optimism-corrected area under ROC 0.734). Conclusions: Preoperative frailty and age independently predicted postoperative medical complications after PLIF in older adults. The Age + mFI-5 model may support risk stratification, counselling, and perioperative optimization. Full article

Background/Objectives: Young women with breast cancer (aged ≤ 40 years) have distinct prognostic characteristics, yet little is known about how modifiable body composition factors influence outcomes in this age group. This study examined whether CT-derived body composition measures could identify thresholds that predict overall survival (OS). Methods: This was a single-center, 10-year, matched case–control study nested within a cohort, utilizing retrospectively collected data. Using an institutional database (2009–2018) and the initial cohort of 112 patients, we performed a subset analysis of patients with stage I–III breast cancer at diagnosis who had available pretreatment CT scans to estimate associations with body composition metrics and OS. The final analytic dataset included 89 individuals (49 survivors and 40 deceased). CT scans at the L3 level were analyzed using Slice-O-Matic software to quantify visceral (VAT), subcutaneous (SAT), intermuscular (IMAT), total adipose tissue (TAT), skeletal muscle density (SMD), skeletal muscle gauge (SMG), and skeletal muscle index (SMI). Cox proportional hazard models determined optimal cutpoints for OS. Multivariable models included adjustments for disease stage and hormone receptor status. Results: The median age was 35 (IQR, 32–38); 47% were White and 37% were Black. The majority (78%) were not Hispanic or Latina. Most (67%) were overweight/obese. Specific thresholds for IMAT index (>2.57), VAT (>31.38), and SMG (<2419.89) were associated with worse survival (all p < 0.05), while no cutpoints were identified for other variables. Conclusions: These findings show that muscle fat infiltration and reduced muscle quality have important prognostic value in young women with breast cancer. Exploratory cutpoints derived from routine staging CT scans may help inform risk stratification and generate hypotheses for targeted nutritional or exercise interventions, but require validation in larger, independent cohorts before clinical application. Full article

Histopathological evaluation of tissue sections remains the gold standard for the diagnosis, classification, and grading of breast cancer (BC). The widespread adoption of whole-slide imaging (WSI) has enabled the digitization of histological slides and facilitated the development of artificial intelligence (AI) approaches for computational pathology. In recent years, machine learning and deep learning (DL) algorithms have been increasingly investigated for the analysis of hematoxylin and eosin (H&E)-stained images, with potential applications in tumor detection, histological classification, prognostic stratification, and prediction of treatment response. This narrative review summarizes recent developments in AI-driven models applied to BC histopathology and discusses their potential role in supporting diagnostic and prognostic assessment. Several studies have demonstrated the promising performance of DL algorithms in tasks such as the detection of lymph node metastases, assessment of residual tumor after neoadjuvant therapy, and prediction of clinical outcomes from histopathological images. Emerging research has also explored the possibility of inferring molecular and biomarker information from histology images, although these approaches currently identify statistical associations rather than direct molecular measurements. Despite the rapid expansion of this research field, significant barriers remain before routine clinical implementation can be achieved. Key challenges include dataset bias, variability in staining and image acquisition, limited external validation across institutions, and the need for transparent and reproducible model development. In addition, the translation of AI-based systems into clinical practice requires compliance with regulatory frameworks governing software used for medical purposes, such as those established by the U.S. Food and Drug Administration. Overall, AI represents a promising research direction in computational pathology and may contribute to decision-support tools capable of assisting pathologists in the analysis of digital slides. Continued efforts toward methodological rigor, large multicenter datasets, and prospective validation studies will be essential to determine the future role of AI in BC histopathology. Full article

Background: Despite surgical repair, large paraesophageal hernias (PEHs) often recur. To minimize recurrence, adjunctive measures, such as mesh and gastropexy, have been explored, but their impact on recurrence and reoperation rates remains unclear. Therefore, we analyzed our single-institution case series, where absorbable hiatal overlay mesh and percutaneous endoscopic gastrostomy (PEG) placement were utilized systematically. Methods: Patients undergoing laparoscopic large PEH repair by a single surgeon between 1 January 2006 and 31 May 2021 were identified. Demographic data, hernia size, number of hiatal sutures used, use of mesh and/or PEG, fundoplication type, and complications were extracted by retrospective chart review. Hernia recurrence was assessed though postoperative radiographic and endoscopic studies or need for reoperation. Fisher’s exact, chi-square, Mood’s two-median and t-tests were used for between-group comparisons. Generalized linear models were used to assess associations between mesh and PEG placement and number of hiatal sutures and to compare risk differences for recurrence between treatment types (partial versus complete fundoplication; mesh versus no mesh; and PEG versus no PEG). Kaplan–Meier estimator with log-rank test was used to assess time to recurrence. Results: Overall, 413 patients (median age 66 years) underwent laparoscopic large PEH repair and fundoplication (51% partial and 49% complete fundoplications). Of these, 78% had overlay absorbable mesh and 51% had a PEG. With an average follow-up time of over 5 years, we found 19.9% had radiographic or endoscopic recurrence. Although cohort stratification based on mesh implementation and fundoplication type did not identify differences in recurrence rates, significantly lower recurrence rates were noted in patients with PEG compared to no-PEG (14.8% vs. 23.5%, p = 0.01). Notably, of five reoperations, all were in complete fundoplication patients, and one occurred in a patient with PEG placement at the index operation. Conclusions: PEG placement during laparoscopic PEH repair may lead to fewer recurrences in high-risk patients. Future prospective studies are warranted. Full article

College dropout is a global challenge due to its high prevalence and its consequences for individuals, institutions, and society, particularly in terms of institutional sustainability, inefficient use of public resources, and human capital loss. This issue is especially salient in engineering, where first-year dropout rates remain high. This study examines factors associated with first-year dropout among engineering students at a Chilean public university, framing dropout as a sustainability challenge for higher education systems. The analysis combines administrative records ($n=825$) with survey data on psychosocial variables ($n=417$). Results show that admission to a first-choice program and early performance are strongly associated with persistence, highlighting admission alignment and early university experience as factors contributing to the sustainable use of institutional resources. Despite equivalent academic performance across genders, a marked discrepancy emerged between students’ high self-reported confidence and limited implementation of learning strategies. Cluster analysis identified a clear performance gradient across socio-educational profiles, with students combining high academic capital, low socioeconomic vulnerability, and first-choice admission showing the most favorable outcomes. These findings underscore the relevance of admission preference, trajectories, and socio-educational context for first-year persistence, with implications for institutional sustainability and the consolidation of human capital in engineering education. Full article

Background: Transperineal magnetic resonance (MRI)/ultrasound (US) fusion-guided prostate biopsy has emerged as a promising alternative to the transrectal approach by improving lesion targeting and reducing infectious complications. However, real-world data addressing factors that influence the detection of clinically significant prostate cancer (csPCa), including imaging characteristics and procedural experience, remain limited. Objective: To evaluate the diagnostic performance, safety profile, and independent predictors of csPCa detection in patients who underwent transperineal MR/US fusion-guided prostate biopsy, with particular emphasis on PIRADS category, prostate-specific antigen (PSA) level, and procedural learning curve. Methods: In this study, patient data were prospectively recorded in a routinely maintained institutional database, while the present analysis was conducted retrospectively. A total of 136 patients with clinical suspicion of prostate cancer—defined as elevated prostate-specific antigen (PSA), abnormal digital rectal examination, or PIRADS ≥3 on multiparametric MRI—underwent transperineal MR/US fusion-guided biopsy between January 2023 and October 2024. Results: Prostate cancer was detected in 45.5% of patients, whereas csPCa was identified in 32.3%. The PIRADS category emerged as the strongest independent predictor of csPCa detection, with PIRADS-5 lesions showing a significantly greater likelihood of csPCa than PIRADS-3 lesions (OR 6.70, p = 0.006). The PSA level was also independently associated with csPCa detection (OR 1.06 per ng/mL increase, p = 0.033). Although csPCa detection rates increased across learning curve groups, procedural experience was not an independent predictor after adjustment. The procedure demonstrated a favorable safety profile, with a low rate of infectious and noninfectious complications despite minimal use of antibiotic prophylaxis. The multivariable model showed moderate explanatory power and acceptable overall classification accuracy. Conclusions: Transperineal MR/US fusion-guided prostate biopsy provides reliable detection of clinically significant prostate cancer with a low complication rate and consistent performance across different stages of institutional experience. The PIRADS category and PSA level remain key determinants of csPCa detection, supporting the integration of MRI-based risk stratification into contemporary prostate cancer diagnostic methods. Full article

Background: The triglyceride glucose index (TyG-i), a biomarker of insulin resistance, has been associated with adverse vascular outcomes and risk stratification in several cardiovascular and cerebrovascular phenotypes. However, data on TyG-i as a prognostic marker in spontaneous intracerebral hemorrhage (ICH) remain limited. Objective: To explore the association between TyG-i and 90-day functional outcome in patients with ICH. Methods: A retrospective analysis of adult patients admitted for non-traumatic small vessel disease-related ICH at three Italian neurological institutions was conducted. TyG-i was calculated on admission as Ln[(fast triglycerides (mg/dL) × fast glucose (mg/dL))]/2. Functional outcome was measured with the modified Rankin Scale (mRS) at 90 days from the index event. TyG-i was analyzed as a continuous variable and categorized in quintiles (Q1 to Q5). Predictors of poor outcome (mRS 4–6) were investigated with multivariable logistic regression. Results: A total of 463 patients were included, of whom 197 (42.5%) had poor outcome at 90 days. TyG-i analyzed as a continuous variable was not associated with unfavorable prognosis. TyG-i analyzed as a categorical variable stratified by quintiles showed a non-linear U-shaped relationship with functional outcome; patients in Q4 had the lowest risk of poor outcome (Q1 reference, OR 0.44, 95% CI 0.22–0.87, p = 0.019). Discussion: We found a potential non-linear relationship between TyG-i and ICH outcome, with higher odds of good prognosis in patients with intermediate values. Conclusions: TyG-i may represent a promising, low-cost and widely available biomarker that might improve prognostication in clinical practice, but further studies are needed. Full article

Background: Pediatric adenotonsillectomy is commonly performed for infectious and obstructive indications, but postoperative hemorrhage remains a concern. This study describes outcomes from a high-volume territorial network in southern Modena province, Italy. Methods: Retrospective observational study of 10,753 pediatric patients (aged 3–18 years) undergoing adenotonsillectomy at Sassuolo Hospital and affiliates (Vignola, Pavullo) from 2005 to 2024. Indications included recurrent tonsillitis (Paradise criteria), obstructive sleep apnea (OSA) (polysomnography-confirmed or clinical), and recurrent otitis media or otitis media with effusion (OME). Surgical techniques included curettage adenoidectomy and Colorado microdissection needle tonsillectomy. Our institutional postoperative care protocol included analgesics, oral hydration, soft diet, antibiotics (amoxicillin) and scheduled follow-up; however, no analysis regarding this protocol was intended to demonstrate correlations with study outcomes. Primary outcomes were postoperative hemorrhage (overall and requiring revision), stratified by indication, age, and technique, and contextualized against ranges reported in large published cohorts (qualitative, exploratory comparison). Secondary outcomes included pain (VAS scores), infection rates, and tissue regrowth. Data completeness was verified via electronic records (95.6%). Statistical analyses used descriptive statistics with 95% confidence intervals (95% CI) and inferential tests for within-cohort comparisons (χ² tests, Fisher’s exact test, and t-tests where appropriate). Results: A total of 10,753 procedures were analyzed (4325 tonsillectomies, 3942 adenotonsillectomies, 2486 adenoidectomies). Postoperative hemorrhage occurred in 202 patients (1.88%; 95% CI 1.64–2.15%); surgical revision was required in 75 (0.70%; 95% CI 0.56–0.87%), with multifactorial stratification showing higher risk for infectious indications (OR 1.41 vs. OSA), younger age < 5 years (OR 2.1), and tonsillectomy origin (OR 8.25 vs. adenoidectomy); all rates are at the lower end of literature ranges (2–5% and 0.9–2.5%, respectively), in line with large published cohorts, although these comparisons are qualitative and exploratory. Mean VAS pain scores decreased from 3.2 (day 1) to 1.1 (day 7). No significant infections occurred; tissue regrowth rates aligned with the literature (adenoidal 6–26%, tonsillar 5–10%). Conclusions: Sassuolo Hospital’s experience highlights favorable postoperative outcomes and low complication rates in adenotonsillar surgery. Limitations include the retrospective design, potential selection bias and long period evaluation. Prospective studies are needed to confirm these findings. Full article

Architecture exists at a moment of instability as economic forces narrow professional agency, as knowledge domains challenge disciplinary boundaries, and as calls for decolonisation and sustainability demand epistemological reorientation. Architectural education occupies a strategic position within these dynamics, simultaneously shaped by professional uncertainty and actively constructing alternative futures. This article examines contemporary architectural education as an experiential lens through which a perceptive understanding of how the discipline negotiates transformation can be developed. It draws on a global survey of 345 architecture schools across 159 countries, conducted by the Architectural Education Commission of the International Union of Architects (UIA), and investigates institutional responses to economic constraints, transdisciplinarity, technological transformation, labour precarity, and ethical imperatives. Employing a nine-dimensional framework and six thematic lenses to map global patterns, the findings reveal a convergence–divergence paradox where schools converge around studio pedagogy (78%), national accreditation (92%), and professional degrees (62%), while diverging substantially in thematic priorities. Near-universal engagement with allied disciplines (99%) and SDG integration (88%) contrast sharply with limited efforts at decolonisation (29%) and a health focus (26%), revealing selective adoption of key ethical imperatives. The analysis unveils systematic gaps between declared commitments and enacted practices, with high adoption rates masking shallow implementation, a pattern evidenced by the gap between near-universal SDG declarations (88%) and the persistence of individual-authorship assessment structures (76–78%). Regional patterns reflect resource stratification, reinforcing colonial or dominant knowledge hierarchies. The study concludes that architecture’s agency remains constrained where schools perform transformation rhetorically while reproducing conventional professional formation structurally. Full article

Background/Objectives: EndoPredict is a second-generation prognostic assay for estrogen-receptor-positive, HER2-negative breast cancer that integrates molecular and clinical parameters for risk stratification. Multiple studies have reported its clinical utility, while differences in the proportion of patients classified as high- or low-risk have been observed across cohorts. This study aimed to characterize clinical, pathological, and demographic factors associated with these differences. Methods: We conducted a descriptive review of 17 published studies and analyzed a single-institution cohort of 140 patients. Associations between clinicopathological variables and high-risk classification were assessed, including tumor size, lymph node status, histological grade, Ki-67 expression, and reproductive and demographic factors. Differences in inclusion criteria and cohort characteristics were also examined. Results: Tumor size and lymph node involvement emerged as primary determinants of high-risk classification. A high histological grade and Ki-67 levels above 25% were significantly associated with high-risk status (p < 0.001). Conversely, age, age at menarche, menopausal status, Body Mass Index, progesterone receptor expression, molecular subtype, and histological type showed no significant association. A higher number of pregnancies correlated with a lower frequency of high-risk classification (p < 0.01). Heterogeneity in risk distribution across studies was largely attributable to differences in tumor size, nodal involvement, and histological grade. Additional variability was associated with inclusion criteria, sample selection, and regional demographic characteristics. Conclusions: Variability in EndoPredict risk classification reflects both tumor biological features and population-specific factors. These findings emphasize the importance of interpreting genomic risk scores within their clinical and demographic context and support the comparison of risk distributions across heterogeneous patient cohorts. Full article

Background/Objectives: Accurate preoperative prediction of cervical lymph node metastasis (LNM) in head and neck squamous cell carcinoma (HNSCC) remains a major clinical challenge. This study aimed to develop a deep learning-based whole-slide image (WSI) model and an integrated nomogram to improve individualized LNM risk stratification. Methods: A total of 355 formalin-fixed paraffin-embedded (FFPE) WSIs and 282 frozen WSIs from the TCGA-HNSC cohort, along with 329 FFPE WSIs from an external institutional cohort, were retrospectively analyzed. Tumor regions were annotated and tiled into standardized patches. A dual-stage multiple instance learning framework was applied to generate WSI-level predictions. A pathological risk score (path-score) was derived and combined with clinical variables to construct a predictive nomogram. Results: The WSI-level model outperformed patch-level classifiers, with the logistic regression-based model achieving area under the curve (AUC) values of 0.821 in the internal validation cohort and 0.730 in the external cohort. The path-score was independently associated with LNM. The integrated nomogram further improved discrimination, yielding AUCs of 0.865 and 0.786 in the internal and external cohorts, respectively. Calibration and decision curve analyses demonstrated good agreement and meaningful clinical benefit. Conclusions: This deep learning-driven pathology nomogram provides a robust and clinically applicable tool for preoperative prediction of cervical lymph node metastasis in HNSCC. Full article

Background: Finding dependable prognostic biomarkers for metastatic colorectal cancer (mCRC) is crucial. The albumin-to-carcinoembryonic antigen (CEA) ratio (ACR), a measure of nutritional-inflammatory status and tumor load, has emerged as a promising prognostic indicator. This study assessed ACR’s prognostic value of ACR in patients with mCRC. Methods: This retrospective study included 125 patients with mCRC followed at our institution between July 2010 and March 2022. ROC curve analysis was used to determine the optimal cutoff values for ACR, prognostic nutritional index (PNI), lymphocyte-to-monocyte ratio (LMR), and CEA. Kaplan–Meier and Cox regression analyses were used to evaluate progression-free survival (PFS) and overall survival (OS). Results: PFS and OS were 13.3 and 26.0 months, respectively. Patients with an ACR ≥ 4.24 experienced significantly longer PFS (16.8 vs. 11.0 months; p = 0.001) and OS (32.0 vs. 22.3 months; p < 0.001) compared with those with ACR < 4.24. In univariable analyses, ACR was significantly associated with both PFS and OS, whereas PNI, LMR, and CEA were associated with OS only. In multivariable Cox regression models ACR showed a significant association with both PFS (HR 0.413; 95% CI: 0.265–0.643; p < 0.001) and OS (HR 0.341; 95% CI: 0.210–0.551; p < 0.001), while maintenance therapy was significantly associated with PFS only and ECOG performance status, LMR and PNI with OS only. Conclusions: ACR appears to be a cost-effective biomarker that is associated with PFS and OS in mCRC. These findings suggest that ACR may have potential value for prognostic assessment and risk stratification in patients with mCRC. Full article