Background: Endometrial cancer (EC) is the most common gynecological malignancy in developed countries. While early-stage disease has favorable outcomes, advanced or recurrent EC remains associated with poor prognosis. Novel prognostic markers are needed to refine risk stratification. Systemic inflammation-based indices such as Pan-Immune Inflammation Value (PIV), Systemic Inflammation Response Index (SIRI), and Systemic Immune Inflammation Index (SII) have shown prognostic potential in solid tumors. Methods: We retrospectively evaluated 78 patients with endometrioid EC who had undergone hysterectomy with adnexectomy and lymphadenectomy. Demographic, clinicopathological, and laboratory data were extracted from electronic medical records. PIV, SII, and SIRI were calculated from the preoperative complete blood counts. Survival was assessed using Kaplan–Meier analysis, while prognostic factors were determined using univariate and multivariate Cox regression analyses. Results: The median age was 59 years, and 64.1% of the patients presented with early-stage disease. A high PIV (≥802) was significantly associated with a shorter overall survival (64 vs. 111 months, p < 0.001). PIV demonstrated the highest discriminatory accuracy (AUC = 0.776), followed by the SII (0.747) and SIRI (0.718). Univariate analysis identified that age, grade, LVSI, PNI, stage, distant metastasis, and high PIV, SII, SIRI, and NLR were predictors of poor survival. Multivariate analysis confirmed grade, distant metastasis and SIRI ≥ 1.5 as independent prognostic factors. Conclusions: Inflammation-based indices, particularly PIV and SIRI, correlated with survival outcomes in patients with EC. The SIRI retained an independent prognostic value, whereas PIV showed a strong discriminatory capacity. Incorporating these indices into established risk models may improve prognostic precision and support individualized management.

Aim: Hormone receptor (HR)-positive, human epidermal growth factor 2 (HER2)-negative breast cancer which represents the most common subgroup of metastatic breast cancer (MBC). Recently, further subclassification for HER2-negative tumors has emerged as HER2-low. There is limited knowledge regarding the effect of HER2-low expression on outcomes of patients with HR-positive and HER2-negative MBC treated with CDK 4/6 inhibitors plus hormonal therapy. Therefore, we evaluated survival parameters according to HER2-low status for this patient group in this study. Material and Methods: As the Turkish Oncology Group (TOG) Project, retrospectively collected data from 423 patients with HR-positive/HER2-negative MBC treated with ribociclib and palbociclib plus letrozole therapy was assessed. Included patients had metastatic first-line therapy and endocrine-sensitive disease. Survival outcomes were compared between HER2-negative and HER2-low patient groups. Conclusion: HER2-low status had no statistically significant impact on survival in patients treated with palbociclib or ribociclib plus letrozole.

Aim: This study aims to assess the predictive impact of sarcopenia on survival in individuals with surgically treated gastric cancer.Material and Methods: This retrospective analysis examined individuals who underwent surgery for gastric cancer, categorizing them into sarcopenia and non-sarcopenia groups based on skeletal muscle index from abdominal CT images. The study assessed clinicopathological variables, survival, and prognosis differences between the groups.Results: The median age of the 84 patients was 59 years (range, 24–80); 64.3% were male. For all patients, 67.9% (n = 57) had sarcopenia and 32.1% (n = 27) did not. According to the ROC analysis, the predictive performance of sarcopenia for mortality was statistically significant (AUC = 0.694; p = 0.012). The best cut-off value of 24.97 yielded 75.8% sensitivity and 61.1% specificity. The median follow-up was 48.6 months, and 18 patients (21.4%) died. Sarcopenia patients had a median survival of 32 months (95% CI: 27.4–36.6), while non-sarcopenic patients had 56 months (95% CI: 43.2–68.8). Sarcopenia was an independent survival predictive factor in multivariate Cox regression (HR = 2.46; 95% CI: 1.24–4.87; p = 0.010).Conclusion: The identification of sarcopenia through CT imaging at the time of diagnosis in patients with gastric cancer is associated with overall survival rates and serves as a prognostic marker for poor prognosis.

Ejmi Eurasian Journal of Medical Investigation

Background and Objectives: High-grade serous ovarian carcinoma (HGSC) is characterized by aggressive tumor behavior, frequent recurrence, and limited long-term survival. Despite the established clinicopathological prognostic factors, significant heterogeneity in clinical outcomes persists, highlighting the need for biologically relevant molecular biomarkers. HER3 and folate receptor alpha (FOLR1) have promising prognostic biomarkers in ovarian cancer; however, the combined biological and prognostic impact of these two molecules has not yet been clearly demonstrated. Materials and Methods: This retrospective observational study included 66 patients with histopathologically confirmed HGSC. The immunohistochemical expression of HER3 and FOLR1 was evaluated using a standardized immunoreactivity scoring system. Associations with clinicopathological features were analyzed, and survival outcomes were analyzed using Kaplan–Meier analysis and Cox proportional hazards regression models. Results: High HER3 expression was significantly associated with distant metastasis and was identified as an independent adverse prognostic factor for both overall survival (OS) and progression-free survival (PFS). FOLR1 expression was associated with OS in univariate analysis, but did not retain independent prognostic significance in multivariate models. A moderate yet statistically significant positive correlation between HER3 and FOLR1 expression was observed, suggesting a potential association between proliferative signaling and metabolic pathways that may warrant further mechanistic investigation. Conclusions: Our findings demonstrate that HER3 is a robust prognostic biomarker in HGSC and support a biologically relevant HER3–FOLR1 interaction contributing to tumor aggressiveness. These results provide a translational rationale for combined biomarker assessment and for the development of HER3- and FOLR1-targeted therapeutic strategies, particularly antibody–drug conjugates, for HGSC.