Background and Objectives: Despite advances in immunotherapy, predicting survival outcomes in patients with non-small-cell lung cancer (NSCLC) remains challenging. Inflammatory and nutritional indices such as the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Inflammatory Burden Index (IBI) have emerged as promising prognostic markers associated with overall survival (OS) in NSCLC patients. Materials and Methods: We retrospectively analyzed a total of 196 NSCLC patients treated with second-line nivolumab across multiple centers in Turkey. Of these, 101 patients aged ≥ 65 years were included in the elderly subgroup analysis. PNI, GNRI (in patients aged ≥ 65), and inflammation-based indices were calculated using pre-treatment laboratory values. ROC analysis determined optimal cut-off values. The Kaplan–Meier method and Cox proportional hazards models were used for survival analysis. Results: Median overall survival (OS) was 12.9 months in the full cohort and 12.1 months in patients aged ≥ 65. In univariate analysis, ECOG performance status (0–1), lower NLR (<3.3), lower PLR (<196.8), higher PNI (≥45.2), and higher GNRI (≥98.0) were significantly associated with longer OS. However, in the multivariate analysis adjusted for ECOG PS, NLR, PLR, and GNRI, only PNI remained an independent prognostic factor for OS in both the overall cohort [HR: 0.49, 95% CI: 0.26–0.92; p = 0.02] and elderly patients [HR: 0.45, 95% CI: 0.24–0.84; p = 0.01]. PNI is an independent prognostic biomarker for OS in NSCLC patients treated with immune checkpoint inhibitors. Conclusions: These findings support incorporating simple, cost-effective nutritional indices into clinical decision-making, particularly in elderly patients with NSCLC.

Background and Objectives: In early-stage HER2-positive breast cancer, ado-trastuzumab emtansine (T-DM1) has been adopted as the preferred adjuvant approach for patients left with residual invasive disease despite neoadjuvant therapy. The influence of different neoadjuvant regimens on subsequent outcomes in real-world settings remains uncertain. Materials and Methods: From 2019 to 2025, 102 patients treated with adjuvant T-DM1 following surgery after neoadjuvant chemotherapy were retrospectively assessed. Neoadjuvant regimens included doxorubicin plus cyclophosphamide followed by trastuzumab-paclitaxel, doxorubicin plus cyclophosphamide with pertuzumab–trastuzumab–docetaxel, or docetaxel–carboplatin–trastuzumab–pertuzumab. Clinical features, treatment response, survival, and toxicity were evaluated. Results: The mean age of the cohort was 49.7 years, and the majority of patients (80.4%) were aged 40 years or older. Hormone receptor positivity was 82.0%, and invasive ductal carcinoma accounted for 97.1% of cases. Regional responses included 39.2% with axillary pCR despite residual breast lesions, and 5.9% with breast pCR accompanied by axillary disease. Kaplan–Meier analysis demonstrated disease-free survival rates of 100%, 95.2%, and 92.2% at 1, 3, and 5 years, respectively. Adverse events were predominantly grade 1–2, while grade 3–4 toxicities occurred in under 5% of the cohort. Baseline characteristics varied across regimens, reflecting real-world treatment preferences, but survival outcomes remained comparable. Conclusions: Adjuvant T-DM1 was associated with high survival rates and manageable toxicity across different neoadjuvant regimens, underscoring its consistent benefit in routine clinical practice.

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.

Purpose: The impact of immune checkpoint inhibitor (ICI) utilisation on prognosis and the prognostic value of inflammatory markers (neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation score (SII), prognostic nutrition index (PNI)) in patients with advanced non-small cell lung cancer (NSCLC) were evaluated in the context of the ongoing pandemic. The cut-off values of the prognostic markers were obtained from clinical studies in the literature. Materials and methods: A non-probability sequential sampling technique ensured the study included 104 patients who had received ICI at any stage. Laboratory tests taken at the outset of ICI treatment were recorded, and NLR, PLR, PNI and SII were calculated and 2-year median overall survival (mOS) was then evaluated. Results: The median age of the cohort was 63.99 years, with 98% of patients being male. Infection with SARS-CoV-2 virus was documented in 29 patients (27.9%). The survival results were similar in both groups when the cut-off values were applied for inflamatuar markers. The two-year mOS was 22 months (44.1%). The two-year survival rate of patients who developed a SARS-CoV-2 infection following the administration of an ICI at any stage of treatment was inferior to that of ICI recipients who did not develop the infection (14.3 months vs. 53.6 months; p=0.001). In contrast with previous studies, 57.1% of patients with a PD-L1 level of 0 survived for two years, while only 10% with levels of 1-49 did so (p=0.010). Conclusion: This study revealed a significantly lower two-year survival rate in patients with a positive diagnosis for SARS-CoV-2 during ICI use compared to those without a positive diagnosis (14.3 months; 53.6 months; p=0.001). In the course of our research, we were unsuccessful in identifying a prognostic marker that could be useful in predicting survival in NSCLC patients using ICI in the context of the pandemic. This investigation yielded findings that differed from the conclusions of previous studies. It demonstrated that, contrary to the prevailing view, the two-year survival rate was higher in patients exhibiting PD-L1 '0' than in those with PD-L1:1-49 (57.1%; 10%, p=0.010).