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Aberrant mRNA expression is implicated in uterine corpus endometrial carcinoma (UCEC) oncogenesis and progression. However, effective prognostic biomarkers for UCEC remain limited. We aimed to construct a reliable multi-gene risk model using gene expression profiles. Utilizing TCGA data (543 UCEC samples, 35 controls), we identified 1517 differentially acting genes. Weighted gene co-expression complex analysis (WGCCA), hub gene screening, and risk regression analysis (RRA) were employed to determine prognosis-related genes and construct the risk model. Nomograms visualized risk scores and receiver operator characteristic (ROC) curves assessed model performance. Seven novel prognosis-related hub genes (ANGPT1, ASB2, GAL, GDF7, ONECUT2, SV2B, TRPC6) were identified. The model's concordance index (C index) by multivariate Cox regression analysis was 0.79. ROC curves yielded AUCs of 0.811 (3-year) and 0.79 (5-year), demonstrating the model's efficacy in predicting UCEC survival. Our study proposes a promising seven-biomarker risk model for predicting UCEC prognosis, offering potential clinical utility., Competing Interests: Declarations Conflict of interest The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.)

Background: Taiwan has the highest incidence of upper tract urothelial carcinoma (UTUC) worldwide. Although many pathological factors can predict the prognosis of UTUC, previous studies have rarely discussed perineural invasion (PNI). Therefore, we aimed to investigate the effect of PNI on a well-established cohort of patients with UTUC., Methods: This retrospective study included 803 patients with non-metastatic UTUC who underwent radical nephroureterectomy between June 2000 and August 2019. Demographic and clinicopathological parameters, including PNI, were collected for analysis. Using the Kaplan-Meier method and Cox proportional hazards model, we evaluated the significance of PNI with respect to progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS)., Results: The median follow-up was 30.9 months, and there were 83 cases of PNI (10.3%). PNI-positive patients had unfavorable pathological features, including high pT stage, positive lymph node involvement, high tumor grade, and more lymphovascular invasion (all p < 0.001). Kaplan-Meier analysis showed that PNI was significantly associated with PFS, CSS, and OS (all p < 0.00001), and when combined with lymphovascular invasion, patients could be divided into groups with distinct survival rates (all p < 0.00001). In multivariate analysis, PNI was an independent factor leading to worse PFS (hazard ratio [HR] 1.72, 95% confidence interval [CI] 1.19-2.50; p = 0.004), CSS (HR 2.54, 95% CI 1.58-4.10; p = 0.0001), and OS (HR 1.78, 95% CI 1.19-2.65; p = 0.005)., Conclusions: We demonstrated an association between PNI and the prognosis of UTUC. Routine assessment of PNI in UTUC with standardized protocols may help achieve better risk stratification and subject selection for perioperative treatment., (© 2021. Society of Surgical Oncology.)

Objective: The aim of this study was to explore the occurrence and prognostic value of perineural invasion (PNI) as a classic tumor pathological feature in esophageal squamous cell carcinoma (ESCC)., Methods: We retrospectively enrolled 794 ESCC patients who underwent radical esophagectomy at Shanghai Chest Hospital from 2017 to 2018. The incidence, associated factors, and prognosis of PNI were analyzed., Results: PNI was identified in 15.7% (125/794) of patients. The presence of PNI was significantly associated with depth of invasion (p < 0.001), pN stage (p = 0.008), tumor stage (p < 0.001), and lymphovascular invasion (LVI; p < 0.001). Multivariate logistic regression analysis demonstrated that advanced pT stage and LVI were independently associated with the presence of PNI, while multivariate Cox regression analysis demonstrated that PNI was not an independent risk factor for poor overall survival (OS) or recurrence-free survival (RFS) in ESCC patients (OS hazard ratio [HR] 0.688, 95% confidence interval [CI] 0.448-1.056, p = 0.087; RFS HR 0.837, 95% CI 0.551-1.273, p = 0.406). In the PNI-positive patient subgroup, adjuvant therapy was associated with better OS and RFS., Conclusion: PNI correlates with, and may be a concomitant consequence of, LVI and advanced tumor invasion (T3-4) in ESCC patients. Although PNI was not identified as an independent prognostic indicator, our results suggest ESCC patients with PNI should be considered for adjuvant therapy., (© 2021. Society of Surgical Oncology.)