Dataset Information

Th2 cells infiltrating high-grade serous ovarian cancer: a feature that may account for the poor prognosis.

ABSTRACT:

Objective

We aimed to investigate the differences of transcriptome profile between 2 groups of high-grade serous ovarian cancer (HGSOC) patients with distinct outcomes and identify potential biomarkers for recurrence.

Methods

RNA sequencing was performed in 2 groups of HGSOC patients with similar demographic characteristics but exhibiting distinct progression-free survival (PFS). Transcriptome data of poor response (PR; PFS ≤6 months) and good response (GR; PFS ≥12 months) group were compared. We employed xCell to evaluate the abundance of 63 cells in tumor microenvironment. The predictive value of recurrence-related tumor infiltration cells was validated in cohort data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) dataset. The weighted correlation network analysis was performed to identify the genes related to cell infiltration.

Results

PR patients exhibited a distinct tumor infiltration immune cells-related transcriptional profile compared to GR patients, such as lower signatures of leukocyte differentiation, activation and chemotaxis. The fraction of T-helper 2 (Th2) cells infiltration was significantly higher in PR group than in GR group. High infiltration of Th2 was significantly associated with unfavorable prognosis in the GEO cohort (area under the curve=0.84 at 6 months recurrence) and TCGA cohort (p=0.008). Genes enriched to extracellular matrix organization and integrin binding were relevant to Th2 infiltration.

Conclusion

Patients with HGSOC having shorter PFS exhibited a distinct gene signature that related to tumor-infiltrating immune cells. The level of Th2 infiltration could facilitate patient recurrence risk stratification and may be a promising biomarker for prognosis prediction and immune-related treatment.

SUBMITTER: Su H

PROVIDER: S-EPMC10323303 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Publications

Th2 cells infiltrating high-grade serous ovarian cancer: a feature that may account for the poor prognosis.

Su Hao H Jin Yueqi Y Tao Changyu C Yang Hua H Yang Ence E Zhang Wei-Guang WG Feng Fengzhi F

Journal of gynecologic oncology 20230323 4

<h4>Objective</h4>We aimed to investigate the differences of transcriptome profile between 2 groups of high-grade serous ovarian cancer (HGSOC) patients with distinct outcomes and identify potential biomarkers for recurrence.<h4>Methods</h4>RNA sequencing was performed in 2 groups of HGSOC patients with similar demographic characteristics but exhibiting distinct progression-free survival (PFS). Transcriptome data of poor response (PR; PFS ≤6 months) and good response (GR; PFS ≥12 months) group w ...[more]

PMID: 36998223

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Project description:BackgroundPrimary or acquired chemoresistance is a key link in the high mortality rate of ovarian cancer. There is no reliable method to predict chemoresistance in ovarian cancer. We hypothesized that specific methylation characteristics could distinguish chemoresistant and chemosensitive ovarian cancer patients.MethodsIn this study, we used 450 K Infinium Methylation BeadChip to detect the different methylation CpGs between ovarian cancer patients. The differential methylation genes were analyzed by GO and KEGG Pathway bioinformatics analysis. The candidate CpGs were confirmed by pyrosequencing. The expression of abnormal methylation gene was identified by QRT-PCR and IHC. ROC analysis confirmed the ability to predict chemotherapy outcomes. Prognosis was evaluated using Kaplan-Meier.ResultsIn advanced high-grade serous ovarian cancer, 8 CpGs (ITGB6:cg21105318, cg07896068, cg18437633; NCALD: cg27637873, cg26782361, cg16265707; LAMA3: cg20937934, cg13270625) remained hypermethylated in chemoresistant patients. The sensitivity, specificity and AUC of 8 CpGs (ITGB6:cg21105318, cg07896068, cg18437633; NCALD: cg27637873, cg26782361, cg16265707; LAMA3: cg20937934, cg13270625) methylation to predict chemotherapy sensitivity were 63.60-97.00%, 46.40-89.30% and 0.774-0.846. PFS of 6 candidate genes (ITGB6:cg21105318, cg07896068; NCALD: cg27637873, cg26782361, cg16265707; LAMA3: cg20937934) hypermethylation patients was significantly shorter. The expression of NCALD and LAMA3 in chemoresistant patients was lower than that of chemosensitive patients. Spearman analysis showed that NCALD and LAMA3 methylations were negatively correlated with their expression.ConclusionsAs a new biomarker of chemotherapy sensitivity, hypermethylation of NCALD and LAMA3 is associated with poor PFS in advanced high-grade serous ovarian cancer. In the future, further research on NCALD and LAMA3 will be needed to provide guidance for clinical stratification of demethylation therapy.

Project description:Recent studies have shown that the expression of ENPP1 is related to differentiation, death, dissemination and chemosensitivity of tumor cells. So far, there is no research in ovarian carcinoma. This study aimed at exploring the role of ENPP1 gene in ovarian carcinoma, the relationship with prognostic indicators and chemotherapy resistance, and investigates the possibility of molecular targeted therapy. The expression of ENPP1 in 41 normal ovarian epithelial tissues, 97 ovarian serous cystadenoma and 103 HGSOC tissues was detected by IHC. In ovarian cancer tissues and ovarian cancer cell lines, mRNA and protein expression of ENPP1 was determined by qRT-PCR and Western blot. The ENPP1 expression was knockdowned by siRNA. Cell proliferation was measured with the BrdU Cell Proliferation ELISA. Cell migration and invasion were detected by Wound-Healing, Transwell migration and Matrigel invasion assay. Caspase 3 activity was determined by the CaspACE. The expression of EMT markers such as E-cadherin, N-cadherin, and Vimentin was measured, and the expression of PCNA and MMP9 was also be detected. The results showed that the expression of ENPP1 was significantly increased in high-grade ovarian serous carcinoma, the number of strong expression was 85.4% (22.3%+63.1%) and only 1.03% (1.03%+0.0%) in serous cystadenoma, but no in normal ovarian epithelium (P< 0.05). And the stronger the expression of ENPP1, the later the FIGO stage and the poorer differentiation of cells (P = 0.001 or <0.001, respectively). However, no correlation was found between the expression of ENPP1 and chemosensitivity. ENPP1 was also highly expressed in ovarian cancer tissues and in epithelial ovarian cancer cell lines (A2780, CaoV3, OVCAR3, SKOV3 and 3ao). After down-regulation of ENPP1 expression by RNA interference, the cell proliferation, migration and invasion of ovarian cancer cell decreased significantly, the expression of apoptosis related gene caspase 3 increased significantly, while the expression of PCNA and MMP9 was significantly down regulated. In addition, EMT biological characteristics of A2780 and SKOV3 cells were also inhibited. In summary, the increased expression of ENPP1 may be related to the occurrence of HGSOC, and indicate that the disease progresses rapidly and the prognosis is poor. ENPP1 may be considered as a potential molecular therapeutic target.

Dataset Information

Th2 cells infiltrating high-grade serous ovarian cancer: a feature that may account for the poor prognosis.

Objective

Methods

Results

Conclusion

Publications

Th2 cells infiltrating high-grade serous ovarian cancer: a feature that may account for the poor prognosis.

Similar Datasets

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