Background/Objectives: Nivolumab has significantly improved outcomes in patients with metastatic non-small cell lung cancer (NSCLC); however, reliable prognostic biomarkers remain an unmet need. To address this gap, we developed the SUVmax-IPI, a novel prognostic index combining maximum standardized uptake value (SUVmax) from ¹⁸F-fluorodeoxyglucose positron emission tomography (FDG-PET) with systemic inflammatory markers. This study aimed to evaluate the prognostic value of SUVmax-IPI in patients with NSCLC receiving nivolumab therapy. Methods: This multicenter retrospective analysis included 187 patients with metastatic NSCLC receiving nivolumab across 5 tertiary institutions. The SUVmax-IPI incorporated pretreatment SUVmax and laboratory-based inflammatory prognostic index (IPI) parameters. Survival outcomes were evaluated using Kaplan–Meier analysis with log-rank testing and multivariate cox regression. Results: Receiver operating characteristic (ROC) analysis established an optimal SUVmax-IPI cut-off of 241.9. Patients with SUVmax-IPI ≤ 241.9 had significantly better survival outcomes: median overall survival (OS) was 35 versus 15 months (p = 0.002). For progression-free survival (PFS), although a numerical difference favored patients with SUVmax-IPI ≤ 241.9 (median: 15 vs. 8 months), this did not reach statistical significance (log-rank p = 0.175). Multivariate analysis confirmed SUVmax-IPI as an independent predictor of survival (p = 0.002). Conclusions: The SUVmax-IPI represents a promising prognostic tool for patients with metastatic NSCLC who received at least 3 months of nivolumab, integrating metabolic and inflammatory parameters to predict survival outcomes.

Background: The prognostic significance of low-level human epidermal growth factor receptor 2 (HER2) expression in hormone receptor-positive/HER2-negative (HR+/HER2−) metastatic breast cancer remains unclear, particularly in patients treated with cyclin-dependent kinase 4/6 inhibitors (CDK4/6i). This study aimed to evaluate the impact of HER2-low status on treatment response and survival outcomes in this setting. Methods: This multicenter retrospective cohort study included patients with HR+/HER2− metastatic breast cancer who received first-line endocrine therapy combined with palbociclib or ribociclib between January 2018 and May 2025. HER2-low tumors were defined as immunohistochemistry (IHC) 1+ or 2+ with negative in situ hybridization, while HER2-zero tumors were classified as IHC 0. Treatment response, progression-free survival (PFS), and overall survival (OS) were compared between groups using Kaplan–Meier analysis and Cox regression models. Results: A total of 309 patients were analyzed, including 122 (39.5%) with HER2-low disease and 187 (60.5%) with HER2-zero disease. Baseline clinicopathological characteristics were well balanced between groups. The overall response rate was 75.4% in the HER2-low group and 72.7% in the HER2-zero group (p > 0.05). Median PFS was 23.9 months for HER2-low patients and 25.2 months for HER2-zero patients (log-rank p = 0.785). Median OS was 49.5 and 53.1 months, respectively, with no statistically significant difference (log-rank p = 0.649). HER2 status was not an independent predictor of PFS or OS in multivariable analyses. Conclusions: In patients with HR+/HER2− metastatic breast cancer treated with first-line endocrine therapy plus CDK4/6 inhibitors, HER2-low expression was not associated with differences in treatment response or survival outcomes. These findings suggest that HER2-low status does not have prognostic or predictive relevance in this endocrine-sensitive population.

Background: Durvalumab combined with gemcitabine–cisplatin (GC) has become the standard first-line treatment for advanced biliary tract cancer (BTC) following the TOPAZ-1 trial. However, real-world effectiveness, safety, and prognostic determinants, particularly in underrepresented populations, remain insufficiently defined. The aim of this study was to evaluate the real-world outcomes of first-line durvalumab plus chemotherapy and identify independent prognostic factors in patients with advanced BTC. Methods: This multicenter retrospective cohort study included patients with unresectable or metastatic BTC treated with first-line durvalumab plus chemotherapy across 21 tertiary oncology centers in Türkiye. Clinical characteristics, laboratory parameters, biomarker data, and treatment details were collected. The primary endpoint was overall survival (OS), while secondary endpoints included progression-free survival (PFS), objective response rate (ORR), and safety. Survival outcomes were analyzed using the Kaplan–Meier method and Cox proportional hazards regression models. Results: A total of 78 patients were analyzed; 53.8% were male, and the median age was 62 years. Primary tumor sites were intrahepatic (55.1%), extrahepatic (30.8%), and gallbladder (14.1%). After a median follow-up of 12.58 months, median OS was 11.59 months and median PFS was 6.80 months. The ORR was 50.6%, including complete and partial responses in 2.7% and 47.9% of patients, respectively. Treatment-related adverse events occurred in 97.4% of patients, with grade 3–4 events in 37.2%. Immune-related adverse events were observed in 19.2%, including one case of grade 3 pneumonitis. No patient permanently discontinued durvalumab due to toxicity, and no durvalumab-related mortality occurred. In multivariable analysis, ECOG performance status 2 (HR 3.43; 95% CI 1.33–8.80) and ALBI grade 2–3 (HR 2.54; 95% CI 1.24–5.19) independently predicted worse OS, while ECOG performance status 2 also predicted shorter PFS (HR 5.91; 95% CI 2.30–15.17). Conclusions: In this multicenter real-world Turkish cohort, first-line durvalumab plus chemotherapy showed effectiveness and tolerability comparable to clinical trial data. Baseline ECOG performance status and ALBI grade were independent prognostic factors, supporting their use for risk stratification in advanced biliary tract cancer.

Background: Accurate prognostic stratification is essential for clinical decision-making in metastatic renal cell carcinoma (mRCC). Although the International Metastatic RCC Database Consortium (IMDC) model is widely used, its discriminatory capacity may be limited in specific clinical subpopulations. The Royal Marsden Hospital (RMH) score, based on serum albumin, lactate dehydrogenase, and the number of metastatic sites, has not been evaluated as a prognostic tool in patients with de novo mRCC receiving first-line tyrosine kinase inhibitor (TKI) therapy. Methods: We retrospectively analyzed the data of 149 patients with de novo metastatic renal cell carcinoma who received first-line TKI therapy (pazopanib, sunitinib, or cabozantinib) at two tertiary oncology centers in Turkey. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan–Meier method. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent prognostic factors. Results: The median OS and PFS were 23.1 months (95% CI: 19.4–26.8) and 9.4 months (95% CI: 7.0–11.8), respectively. The OS showed a stepwise decline across RMH risk groups, ranging from 40.7 months in patients with an RMH score of 0 to 8.6 months in those with an RMH score of 3. In the multivariate analysis, the RMH score (HR 1.29, 95% CI: 1.03–1.61; p = 0.026) and sarcomatoid differentiation (HR 2.01, 95% CI: 1.09–3.72; p = 0.025) were independently associated with worse OS. The IMDC score did not retain independent prognostic significance (p = 0.129). The RMH score was not significantly associated with PFS after multivariable adjustment, and the IMDC score was not significantly associated with PFS in univariate analysis and was therefore not entered into the multivariable PFS model. Conclusions: The RMH score independently predicted overall survival in patients with de novo mRCC receiving first-line TKI therapy, whereas the IMDC score did not retain independent prognostic significance in this cohort. Given its simplicity and reliance on objective parameters, the RMH score may provide complementary prognostic information in this patient population; however, external validation in independent cohorts is required before broader clinical implementation can be considered.

Background: Non-small cell lung cancer (NSCLC) is the most prevalent form of malignancy and the leading cause of cancer-related fatalities. In clinical practice, metastatic sites are identified on a case-by-case basis. ALK rearrangements are detected in 3–5% of NSCLC cases and are known to have a tendency (tropism) to metastasize to the brain. Methods: Data from 81 ALK-positive and 91 ALK-negative metastatic NSCLC patients were retrospectively analyzed. Systemic markers, including HALP score, NLR, PLR, LMR, and LDH, were calculated from blood tests at the time of metastasis. Optimal cut-off values were determined using ROC analysis. Survival outcomes and prognostic factors were assessed using Kaplan–Meier and Cox regression analyses. Results: ALK-positive patients were significantly associated with female gender (p = 0.002), non-smoking status (p = 0.001), adenocarcinoma histology (p = 0.001), and a higher incidence of brain metastases (p = 0.001). In univariate analysis, age, time to metastasis, liver metastasis, and NLR were prognostic for survival. Crucially, multivariate analysis identified liver metastasis as an independent predictor of poor prognosis (HR = 1.618; 95% CI: 1.050–2.494; p = 0.029), indicating a 61.8% increased risk of death or progression. While inflammation markers (NLR, HALP, PLR, LMR) did not predict metastasis to specific sites, elevated LDH levels were significantly associated with liver metastasis (p = 0.007). Conclusion: ALK-positive NSCLC demonstrates a marked CNS tropism; however, liver metastasis remains a more critical adverse prognostic factor than brain metastasis in real-world settings. While routine inflammation markers showed limited utility in predicting site-specific metastasis, LDH levels correlated significantly with liver involvement. Aggressive management strategies are warranted for ALK-positive patients presenting with liver metastases.

Background/Objectives: Malignant melanoma remains a highly aggressive malignancy with substantial mortality despite advances in systemic therapy. Identifying simple and reproducible prognostic biomarkers is essential for improving risk stratification. Inflammation- and nutrition-based indices—including the Systemic Immune–Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), dynamic SIRI, and the Controlling Nutritional Status (CONUT) score—have shown prognostic value in various cancers. This study assessed the prognostic significance of these indices in patients with locally advanced or metastatic melanoma using real-world data. Methods: A retrospective cohort of 138 patients treated between 2010 and 2023 was analyzed. Baseline demographic, clinical, nutritional, and inflammatory parameters were collected. Optimal cut-off values for SII, SIRI, 6-month SIRI, and dynamic SIRI were determined using receiver operating characteristic analysis. Overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan–Meier method, and independent predictors were identified with multivariate Cox regression. Results: Elevated baseline SII and SIRI were significantly associated with shorter overall survival. Both 6-month SIRI and dynamic SIRI demonstrated strong prognostic value, emphasizing the importance of longitudinal inflammatory changes. In multivariate analysis, response to first-line therapy emerged as the only independent predictor of disease progression. Patients with a CONUT score ≥ 3 showed significantly shorter OS and PFS in univariate analyses, underscoring the prognostic relevance of nutritional status. Conclusions: SII, SIRI, 6-month SIRI, dynamic SIRI, and CONUT are practical, accessible, and reproducible biomarkers with meaningful prognostic value in advanced melanoma. Incorporating these indices into routine clinical assessment may enhance risk stratification and support more personalized treatment decision-making.