Xi Cheng

Background: Ovarian cancer (OC) remains one of the most lethal gynecologic malignancies due to extensive metabolic plasticity and rapid development of platinum resistance. Lactylation, a lactate-derived post-translational modification, has emerged as a critical regulator linking tumor metabolism to cellular signaling. However, its role in OC remains poorly understood. Methods: We integrated bulk transcriptomic analysis, single-cell RNA sequencing, machine-learning, clinical validation and functional experiments to characterize lactylation-associated programs in OC. TNFAIP3 expression and lactylation levels were evaluated using public datasets, immunoblotting, immunohistochemistry and multiplex immunofluorescence. Functional assays and xenograft models were performed to investigate the role of TNFAIP3 in tumor progression and chemoresistance. Results: Global pan-Kla signals were significantly elevated in OC and correlated with advanced stage, metastasis, chemoresistance and poor prognosis. Single-cell analysis identified two lactylation-associated epithelial states, PFKP-C1 and CBX3-C2, representing metabolically adaptive and immune-interactive tumor programs respectively. An exploratory lactylation-related prognostic model was associated with survival differences and immune microenvironmental heterogeneity. Among the candidate genes, TNFAIP3 emerged as a functionally relevant candidate tumor suppressor and was markedly downregulated in OC, particularly in chemoresistant tumors, whereas high TNFAIP3 expression predicted favorable survival. Functionally, TNFAIP3 inhibited tumor progression while enhancing sensitivity to cisplatin and olaparib in vitro and potentiated cisplatin efficacy in vivo. Mechanistically, TNFAIP3 constrained LDHA-mediated lactate production, reduced NBS1-associated lactylation and was associated with attenuated DNA damage repair signaling. HDAC3 was further implicated as a functional mediator of TNFAIP3-associated NBS1 delactylation. Conclusions: Our findings identify TNFAIP3 as a metabolic regulator that suppresses lactylation-associated DNA damage repair and enhances therapeutic sensitivity in ovarian cancer. These results support lactylation-associated signaling as a potential direction for further therapeutic investigation in ovarian cancer.

Small cell carcinoma of cervix (SCCC) was a highly aggressive tumor with dismal prognosis. Current treatment strategies manifested poor survival outcomes and novel treatment options were needed exploration. We aimed to investigate several prognostic biomarkers for SCCC and conducted a novel risk-score system to predict cancer specific survival (CSS) in early-stage SCCC. Seven cell-cycle proteins were detected by immunohistochemistry in 88 SCCCs. Univariate and multivariate analysis were performed to identify prognostic proteins and establish a predicting model. Total patients were divided into two groups by the median risk-score: the high-risk group and the low-risk group. Logistic regression and Wilcoxon test were used to investigate the association between clinical variables and the risk-score system. Seven cell cycle proteins were overexpressed in SCCC. The expression of CDC20, MAD2L1, MCM2 and BUBR1 were correlated to survival outcomes with P < 0.05. A novel risk-score system consisting of CDC20, MAD2L1 and BUBR1 was significantly an independent prognostic factor for CSS and the high-risk group possessed worse survival (P < 0.001). The c-indexes for clinical model, risk-score system and the combined model were 0.668, 0.718 and 0.727, respectively. The AUCs for these three models were 0.730, 0.775 and 0.823, respectively. Furthermore, we discovered that patients with high-risk scores were inclined to possessing older age, parametrial invasion and higher FIGO stage (IIA vs IA/IB) with P < 0.05. This risk-score system consisting of CDC20, MAD2L1 and BUBR1 presented good discrimination and predictability for SCCC. Novel biomarkers in this study might have some merits in providing guidance of novel treatment strategies for SCCC.

Purpose: The purpose of this study was to evaluate the risk and prognostic factors of stage IVB cervical cancer with brain metastasis from a population-based database, the Surveillance, Epidemiology and End Results (SEER). Patients and methods: Cervical cancer patients initially diagnosed with brain metastasis between 2010 and 2019 were included in this study. The risk factors of developing brain metastasis were evaluated by logistic regression model with corresponding 95% confidence interval (95% CI). Survival analysis was performed through the Kaplan–Meier method, log-rank test, and Cox proportional hazards model. Results: A total of 88 (88/25,476, 0.35%) cervical cancer patients initially diagnosed with brain metastasis between 2010 and 2019 were retrieved. Accompanied with lung, bone, or liver metastasis (all P < 0.001) was shown to be independent risk factors for developing brain metastasis. Patients with brain metastasis indicated a poor prognosis ( P < 0.001, hazards ratio [HR] = 2.84, 95% CI = 1.71–4.72) with a 2.84-fold elevated risk of death compared with patients without brain metastasis. The median survival month for patients with brain metastasis was 6 months, which is much shorter compared with the lung (9 months) or liver (8.5 months) or bone (11 months) metastasis group. Along with lower tumor grade ( P = 0.001, HR = 0.27, 95% CI = 0.09–0.76) and with bone metastasis ( P = 0.007, HR = 2.74, 95% CI = 1.33–5.67) demonstrated poor overall survival outcomes in patients with brain metastasis, with a 3.7- and 1.33-fold higher risk of death, respectively. In terms of treatment modality, chemoradiotherapy tended to prolong the survival of stage IVB cervical cancer patients with brain metastasis ( P = 0.001, HR = 0.17, 95% CI = 0.06–0.48), with an 83% reduction in the risk of death. Conclusion: In conclusion, the prognosis of stage IVB cervical cancer patients with brain metastasis remains poor. Chemoradiotherapy may provide survival benefits, which deserves large-scale prospective clinical trials to confirm.

Li H, et al. J Gynecol Oncol. 2024 Oct;36:e42. https://doi.org/10.3802/jgo.2025.36.e42

Background: Inherited variations in DNA double-strand break (DSB) repair pathway are known to influence ovarian cancer occurrence, progression and treatment response. Despite its significance, survival-associated genetic variants within the DSB pathway remain underexplored. Methods: In the present study, we performed a two-phase analysis of 19,290 single-nucleotide polymorphisms (SNPs) in 199 genes in the DSB repair pathway from a genome-wide association study (GWAS) dataset and explored their associations with overall survival (OS) in 1039 Han Chinese epithelial ovarian carcinoma (EOC) patients. After utilizing multivariate Cox regression analysis with bayesian false-discovery probability for multiple test correction, significant genetic variations were identified and subsequently underwent functional prediction and validation. Results: We discovered a significant association between poor overall survival and the functional variant GEN1 rs56070363 C > T (CT + TT vs. TT, adjusted hazard ratio (HR) = 2.50, P < 0.001). And the impact of GEN1 rs56070363 C > T on survival was attributed to its reduced binding affinity to hsa-miR-1287-5p and the resultant upregulation of GEN1 mRNA expression. Overexpression of GEN1 aggregated EOC cell proliferation, invasion and migration presumably by influencing the expression of immune inhibitory factors, thereby elevating the proportion of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) and then constructing an immunosuppressive tumor microenvironment. Conclusions: In conclusion, GEN1 rs56070363 variant could serve as a potential predictive biomarker and chemotherapeutic target for improving the survival of EOC patients.

Fructose-1,6-bisphosphatase (FBP1) is a rate-limiting enzyme in gluconeogenesis and an important tumor suppressor in human malignancies. Here, we aimed to investigate the expression profile of FBP1 in ovarian cancer, the molecular mechanisms that regulate FBP1 expression and to examine how the FBP1 regulatory axis contributes to tumorigenesis and progression in ovarian cancer. We showed that FBP1 expression was significantly decreased in ovarian cancer tissues compared with normal ovarian tissues, and low-FBP1 expression predicted poor prognosis in patients with ovarian cancer. The enhanced expression of FBP1 in ovarian cancer cell lines suppressed proliferation and 2-D/3-D invasion, reduced aerobic glycolysis, and sensitized cancer cells to cisplatin-induced apoptosis. Moreover, DNA methylation and C-MYC binding at the promoter inhibited FBP1 expression. Furthermore, through physical interactions with signal transducer and activator of transcription 3 (STAT3), FBP1 suppressed nuclear translocation of STAT3 and exerted its non-metabolic enzymatic activity to induce the dysfunction of STAT3. Thus, our study suggests that FBP1 may be a valuable prognostic predictor for ovarian cancer. C-MYC-dependent downregulation of FBP1 acted as a tumor suppressor via modulating STAT3, and the C-MYC/FBP1/STAT3 axis could be a therapeutic target.

Tumor mutation burden (TMB) is an essential biomarker to predict immunotherapy response. TMB measurement was mainly evaluated by whole-exome sequencing (WES), which was costly and difficult to be widely applied. In the present study, we aimed to establish and validate a miRNA signature to predict TMB level in endometrial cancer using The Cancer Genome Atlas (TCGA) database. MiRNA expression and somatic mutation profiles of uterine corpus endometrial carcinoma (UCEC) were downloaded from TCGA database. Total 518 patients with UCEC were randomly classified into training set (n=311) and validation set (n=207). Thirty-five differentially expressed miRNAs between high-TMB and low-TMB group were identified in training set. Least absolute shrinkage and selection operator (LASSO) method was performed to select out 26 miRNAs to establish the optimal signature. The accuracy of the miRNA signature for predicting TMB level was 0.833 for training set, 0.749 for validation set and 0.799 for total set. Moreover, the miRNA signature had significant correlation with immune checkpoints related genes (PD-1, PD-L1, CTLA-4) and mismatch repair related genes (BRCA1, BRCA2, MLH1, MSH6) expression. In conclusion, this miRNA signature could predict TMB level in endometrial cancer and might have some merits in providing guidance for immunotherapy in endometrial cancer.

Endometrial cancer is the most common malignancies in developed countries. The present study aimed to identify the role of secretoglobin family 2A member 1 (SCGB2A1) expression in uteri corpus endometrial carcinoma (UCEC) from The Cancer Genome Atlas (TCGA) database, and determine the SCGB2A1‑associated downstream signaling pathways. The clinicopathological characteristics and gene expression data were downloaded from TCGA database. The Kaplan‑Meier method and Cox multivariate model were used for survival analysis. Logistic regression was used to analyze the association between the clinicopathological features and SCGB2A1 expression. For validation, data of SCGB2A1 mRNA expression and protein expression were obtained and then survival analysis was performed for 47 patients with endometrial cancer from the Fudan University Shanghai Cancer Center (FUSCC). In TCGA dataset, SCGB2A1 expression was significantly higher in tumor tissues (n=528) compared with normal tissues (n=23, PSCGB2A1 expression was identified as an independent prognostic factor. In the FUSCC validation set, low SCGB2A1 expression was also associated with worse survival compared with high expression in endometrial cancer (P<0.001). Gene Set Enrichment Analysis revealed that SCGB2A1 may be involved in tumor proliferation and cell cycle regulation. In conclusion, SCGB2A1 may have an important role in the prognosis of UCEC, and has value as a new target for novel therapeutic strategies.