Dataset Information

Comprehensive analysis of LDHAP5 pseudogene expression and potential pathogenesis in ovarian serous cystadenocarcinoma.

ABSTRACT:

Background

We aimed to identify differentially expressed pseudogenes and explore their potential functions in four types of common gynecological malignancies (e.g., cervical squamous cell carcinoma, ovarian serous cystadenocarcinoma, uterine corpus endometrial carcinoma, and uterine carcinosarcoma) using bioinformatics technology.

Materials and methods

We identified up-regulated and down-regulated pseudogenes and built a pseudogene-miRNA-mRNA regulatory network through public datasets to explore their potential functions in carcinogenesis and cancer prognosis.

Results

Among the 63 up-regulated pseudogenes identified, LDHAP5 demonstrated the greatest potential as a candidate pseudogene due to its significant association with poor overall survival in ovarian serous cystadenocarcinoma. KEGG pathway analysis revealed that LDHAP5 showed significant enrichment in MicroRNAs in cancer, Pathway in cancer and PI3K-AKT signaling pathway. Further analysis revealed that EGFR was the potential target mRNA of LDHAP5, which may play an important role in ovarian serous cystadenocarcinoma.

Conclusions

LDHAP5 was associated with the occurrence and prognosis of ovarian serous cystadenocarcinoma, and thus shows potential as a novel therapeutic target against such cancer.

SUBMITTER: Lin S

PROVIDER: S-EPMC7288418 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Comprehensive analysis of <i>LDHAP5</i> pseudogene expression and potential pathogenesis in ovarian serous cystadenocarcinoma.

Lin Shitong S Meng Yifan Y Cao Canhui C Wu Ping P Gao Peipei P Zhi Wenhua W Peng Ting T Wu Peng P

Cancer cell international 20200610

<h4>Background</h4>We aimed to identify differentially expressed pseudogenes and explore their potential functions in four types of common gynecological malignancies (e.g., cervical squamous cell carcinoma, ovarian serous cystadenocarcinoma, uterine corpus endometrial carcinoma, and uterine carcinosarcoma) using bioinformatics technology.<h4>Materials and methods</h4>We identified up-regulated and down-regulated pseudogenes and built a pseudogene-miRNA-mRNA regulatory network through public data ...[more]

PMID: 32536817

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