Somatic mutation of targeted sequencing identifies risk stratification in advanced ovarian clear cell carcinoma.

BACKGROUND: Ovarian clear cell carcinoma (OCCC) is a unique subtype of epithelial ovarian cancer. Advanced OCCC display a poor prognosis. Therefore, we aimed to make risk stratification for precise medicine. METHODS: We performed a large next generation sequencing (NGS) gene panel on 44 patients with OCCC in FIGO stage II-IV. Then, by machine learning algorithms, including extreme gradient boosting (XGBoost), random survival forest (RSF), and Cox regression, we screened for feature genes associated with prognosis and constructed a 5-gene panel for risk stratification. The prediction efficacy of the 5-gene panel was compared with FIGO stage and residual disease by receiver operating characteristic curve and decision curve analysis. RESULTS: The feature mutated genes related to prognosis, selected by machine learning algorithms, include MUC16, ATM, NOTCH3, KMT2A, and CTNNA1. The 5-gene panel can effectively distinguish the prognosis, as well as platinum response, of advanced OCCC in both internal and external cohorts, with the predictive capability superior to FIGO stage and residual disease. CONCLUSIONS: Mutations in genes, including MUC16, ATM, NOTCH3, KMT2A, and CTNNA1, were associated with the poor prognosis of advanced OCCC. The risk stratification according to these genes demonstrated acceptable prediction power of prognosis and platinum response, suggesting the potential to be a novel target for precision medicine.

Predictive value of the Adult Comorbidity Evaluation 27 on adverse surgical outcomes and survival in elderly with advanced epithelial ovarian cancer undergoing cytoreductive surgery.

OBJECTIVE: We aimed to evaluate the ability of Adult Comorbidity Evaluation 27 (ACE-27) to predict perioperative outcomes and survival in elderly women with advanced epithelial ovarian cancer (AEOC) undergoing cytoreductive surgery. METHODS: We collected patients with AEOC in our hospital between January 1, 2012 and January 1, 2021. Patients younger than 65 years old or those with non-epithelial ovarian cancer were excluded. ACE-27 was applied retrospectively to assess comorbidities in the selected patients, who were then classified into two groups based on their ACE-27 scores: low ACE-27 score group (none to mild) and high ACE-27 score group (moderate to severe). RESULTS: A total of 222 elderly women with AEOC were included, of whom 164 patients accepted debulking surgery. Among those who have undergone surgery, Clavien-Dindo grade III + perioperative complications or unintended intensive care unit (ICU) admission occurred more often in patients of high ACE-27 score group, with statistically significant difference (odds ratio [OR]: 4.21, 95% confidence interval [CI], 1.28-14.35, p = 0.018). Further stratified analyses by age, BMI, FIGO stage and pathology also prove that OS of patients graded severe was shorter than patients graded none to moderate in cohort of age < 70, BMI < 25 kg/m2, FIGO III stage and pathology of serous, respectively. Kaplan-Meier survival curves analyzed by log-rank test showed that the overall survival (OS) of patients with severe comorbidities were shorter than with none to moderate (HR 3.25, 95%CI 1.55-6.79, p = 0.002). CONCLUSIONS: Our findings demonstrate the ability of ACE-27 to predict grade III + perioperative complications or unintended ICU admission and survival in elderly patients with AEOC. This highlights the possibility for ACE-27 to play an instrumental role in identifying AEOC patients who are more susceptible to adverse surgical outcomes and have a poor survival rate and assisting in decisions regarding treatment.

Multi-omics Analysis Identifies Hypoxia Subtypes and S100A2 as an Immunosuppressive Factor in Cervical Cancer.

Cervical cancer is a common gynecological oncology. Growing evidence indicates hypoxia plays an important role in tumor progression and immunity. However, no study has examined the hypoxia landscape in cervical cancer. In this study, using hierarchical clustering, we identified three hypoxia subtypes in cervical cancer samples from The Cancer Genome Atlas dataset according to formerly described hypoxia-related genes. The overall survival time, hypoxic features, genomics, and immunological characteristics of these subtypes existed distinct differences. We also created a hypoxia score by principle component analysis for dimension reduction. The hypoxiaScore was an effective prognostic biomarker validated by GSE44001 and was associated with immunotherapy response. Furthermore, combined with single-cell RNA-sequence (scRNA-seq) and experiments, S100A2 was identified as an immunosuppressive factor induced by hypoxia and regulated expression of PD-L1. S100A2 also served as an oncogene promoting the proliferation and migration of cervical cancer cells. These findings depicted a new hypoxia-based classification and identified S100A2 as a potential therapeutic target for cervical cancer, thereby advancing the understanding of immunotherapy resistance mechanisms and cervical cancer genetic markers.

CNIH4 governs cervical cancer progression through reducing ferroptosis.

Cervical cancer is one of the most leading causes of cancer death worldwide, and ferroptosis is implicated in the progression of cervical cancer. Cornichon family AMPA receptor auxiliary protein 4 (CNIH4) is involved in the progression of various human cancers; however, its function in cervical cancer remains unclear. The present study aims to investigate the role and mechanism of CNIH4 in cervical cancer using gain- and loss-of-function studies in vitro. SiHa and CaSki cells were infected with lentiviral vectors to manipulate the expression of CNIH4 in vitro, and cell viability, migration, invasion as well as ferroptosis were evaluated. Transcriptome sequencing analysis was performed to further validate the mechanism through which CNIH4 regulated the progression of cervical cancer. The expression of CNIH4 was upregulated in human cervical cancer tissues and cells, and strongly correlated with the decreases in overall survival and disease free survival rates of cervical cancer patients. CNIH4 silence inhibited, while CNIH4 overexpression facilitated the survival of human cervical cancer cells. Mechanistically, CNIH4 elevated solute carrier family 7 member 11 (SLC7A11)-mediated cystine import, and subsequently increased intracellular glutathione synthesis and glutathione peroxidase 4 activity, thereby inhibiting ferroptosis of human cervical cancer cells. SLC7A11 silence significantly abolished CNIH4-mediated inhibition of ferroptosis in cervical cancer cells in vitro. Our study for the first time reveals that CNIH4 inhibits ferroptosis of human cervical cancer cells through upregulating SLC7A11, defining CNIH4 as an attractive therapeutic and prognostic target for cervical cancer.

TFAP2A promotes cervical cancer via a positive feedback pathway with PD­L1.

Transcription factor AP­2 alpha (TFAP2A) is a critical cell growth regulator that is overexpressed in various tumor tissues. However, its role in the development of cervical cancer remains unknown. In the present study, public databases were thus explored and a higher expression of TFAP2A was found in cervical cancer. A total of 131 clinical samples were collected and it was also identified that TFAP2A was highly expressed in cervical tumor tissues. TFAP2A was also found to be associated with a higher tumor stage, lymph node metastasis and a poor patient survival. In vitro experiments revealed that the knockdown of TFAP2A inhibited the proliferation and migration of cervical cancer cells and promoted apoptosis. Furthermore, it was observed that TFAP2A could bind the programmed death­ligand 1 (PD­L1) promoter region and PD­L1 rescued TFAP2A expression. In vivo experiments also revealed that TFAP2A promoted tumor growth. Collectively, in the present study it was demonstrated that TFAP2A is a transcription factor of PD­L1 and a prognostic factor with clinical value, identifying a positive feedback loop of TFAP2A/PD­L1.

2-Deoxy-D-glucose simultaneously targets glycolysis and Wnt/ß-catenin signaling to inhibit cervical cancer progression.

Cervical cancer is one of the most common female malignant tumors, with typical cancer metabolism characteristics of increased glycolysis flux and lactate accumulation. 2-Deoxy-D-glucose (2-DG) is a glycolysis inhibitor that acts on hexokinase, the first rate-limiting enzyme in the glycolysis pathway. In this research, we demonstrated that 2-DG effectively reduced glycolysis and impaired mitochondrial function in cervical cancer cell lines HeLa and SiHa. Cell function experiments revealed that 2-DG significantly inhibited cell growth, migration, and invasion, and induced G0/G1 phase arrest at non-cytotoxic concentrations. In addition, we found that 2-DG down-regulated Wingless-type (Wnt)/ß-catenin signaling. Mechanistically, 2-DG accelerated the degradation of ß-catenin protein, which resulted in the decrease of ß-catenin expression in both nucleus and cytoplasm. The Wnt agonist lithium chloride and ß-catenin overexpression vector could partially reverse the inhibition of malignant phenotype by 2-DG. These data suggested that 2-DG exerted its anti-cancer effects on cervical cancer by co-targeting glycolysis and Wnt/ß-catenin signaling. As expected, the combination of 2-DG and Wnt inhibitor synergistically inhibited cell growth. It is noteworthy that, down-regulation of Wnt/ß-catenin signaling also inhibited glycolysis, indicating a similar positive feedback regulation between glycolysis and Wnt/ß-catenin signaling. In conclusion, we investigated the molecular mechanism by which 2-DG inhibits the progression of cervical cancer in vitro, elucidated the interregulation between glycolysis and Wnt/ß-catenin signaling, and preliminarily explored the effect of combined targeting of glycolysis and Wnt/ß-catenin signaling on cell proliferation, which provides more possibilities for the formulation of subsequent clinical treatment strategies.