Xiao Li

An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor

A MoS2/PDDA layer-by-layer SERS biosensor enables simultaneous detection of ovarian cancer EVs and multiple membrane proteins, and facilitates diagnostic modeling via machine learning on serum samples.

Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing

Background. The occurrence and development of ovarian cancer (OV) are significantly influenced by increased levels of oxidative stress (OS) byproducts and the lack of an antioxidant stress repair system. Hence, it is necessary to explore the markers related to OS in OV, which can aid in predicting the prognosis and immunotherapeutic response in patients with OV. Methods. The single-cell RNA-sequencing (scRNA-seq) dataset GSE146026 was retrieved from the Gene Expression Omnibus (GEO) database, and Bulk RNA-seq data were obtained from TCGA and GTEx databases. The Seurat R package and SingleR package were used to analyze scRNA-seq and to identify OS response-related clusters based on ROS markers. The “limma” R package was used to identify the differentially expressed genes (DEGs) between normal and ovarian samples. The risk model was constructed using the least absolute shrinkage and selection operator (LASSO) regression analysis. The immune cell infiltration, genomic mutation, and drug sensitivity of the model were analyzed using the CIBERSORT algorithm, the “maftools,” and the “pRRophetic” R packages, respectively. Results. Based on scRNA-seq data, we identified 12 clusters; OS response-related genes had the strongest specificity for cluster 12. A total of 151 genes were identified from 2928 DEGs to be significantly correlated with OS response. Finally, nine prognostic genes were used to construct the risk score (RS) model. The risk score model was an independent prognostic factor for OV. The gene mutation frequency and tumor immune microenvironment in the high- and low-risk score groups were significantly different. The value of the risk score model in predicting immunotherapeutic outcomes was confirmed. Conclusions. OS response-related RS model could predict the prognosis and immune responses in patients with OV and provide new strategies for cancer treatment.

Chemotherapy-Induced Neutropenia as a Prognostic Factor in Patients With Advanced Epithelial Ovarian Carcinoma

Background To evaluate the prognostic value of chemotherapy-induced neutropenia (CIN) in epithelial ovarian carcinoma (EOC) treated with primary surgery followed by platinum-based chemotherapy. Methods The records of primary EOC treated between Jan 1st 2002 and Dec 31st 2016 were reviewed according to the including and excluding criteria. CIN was defined as absolute neutrophil count (ANC) after chemotherapy <2.0 × 109/L. Patients with CIN were further divided into mild and severe CIN (ANC <1.0 × 109/L), early-onset and late-onset (>3 cycles) CIN. Clinical characteristic was compared by chi-square test. Overall survival (OS) and progression-free survival (PFS) were compared using Kaplan–Meier analysis, univariate and multivariate Cox regression models. Results Among 735 EOC patients enrolled, no significant differences of the prognosis were found between patients with and without CIN, early and late CIN, mild and severe CIN. However, Kaplan–Meier curve (65 vs 42 months for CIN vs non-CIN, P = .007) and Cox regression analysis (HR 1.499, 95% CI 1.142-1.966; P = .004) both revealed that CIN was significantly related with better OS in advanced EOC patients, but not for PFS. So, subgroup analysis was further conducted and date suggested that CIN was an independent predictor of better survival in advanced EOC with suboptimal surgery (PFS: 18 vs 14 months, P = .013, HR 1.526, 95% CI 1.072-2.171, P = .019; OS: 37 vs 27 months, P = .013, HR 1.455, 95% CI 1.004-2.108; P = .048). Conclusions CIN might be used as an independent prognostic indicator of advanced EOC, especially for those patients with suboptimal surgery.

SN-38 Sensitizes BRCA-Proficient Ovarian Cancers to PARP Inhibitors through Inhibiting Homologous Recombination Repair

As a multifunctional protein posttranslational modification enzyme in eukaryotic cells, Poly-ADP-ribose polymerase (PARP) acts as a DNA damage sensor, which helps to repair DNA damage through recruiting repair proteins to the DNA break sites. PARP inhibitors offer a significant clinical benefit for ovarian cancer with BRCA1/2 mutations. However, the majority of ovarian cancer patients harbor wild-type (WT) BRCA1/2 status, which narrows its clinical application. Here, we identified a small compound, SN-38, a CPT analog, which sensitizes BRCA-proficient ovarian cancer cells to PARP inhibitor treatment by inhibiting homologous recombination (HR) repair. SN-38 treatment greatly enhanced PARP inhibitor olaparib induced DNA double-strand breaks (DSBs) and DNA replication stress. Meanwhile, the combination of SN-38 and olaparib synergistically induced apoptosis in ovarian cancer. Furthermore, combination administration of SN-38 and olaparib induced synergistic antitumor efficacy in an ovarian cancer xenograft model in vivo. Therefore, our study provides a novel therapeutic strategy to optimize PARP inhibitor therapy for patients with BRCA-proficient ovarian cancer.

The Significance of Human Papillomavirus Receptors Related Genetic Variants in Cervical Cancer Screening

Virus receptors are known to mediate virus attachment and further lead to virus infection of the host cells. In the current study, we investigated the relationship between single nucleotide polymorphisms (SNPs) in human papillomavirus (HPV) receptor associated genes and HPV susceptibility and clinical outcomes in Chinese women, and to explore the new triaging strategy for non-16/18 high-risk HPV infection.