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Exploration of glycosyltransferases mutation status in cervical cancer reveals PARP14 as a potential prognostic marker.


ABSTRACT: This study investigates the potential role of Glycosyltransferases (GTs) in the glycosylation process and their association with malignant tumors. Specifically, the study focuses on PARP14, a member of GTs, and its potential as a target for tumors in the diagnosis and treatment of cervical cancer. To gather data, the study used somatic mutation data, gene expression data and clinical information from TCGA-CESE dataset as well as tissue samples from cervical cancer patients. Further verification was conducted through RT-qPCR and immunohistochemistry staining on cervical cancer tissues to confirm the expression of PARP14. The study utilized Kaplan-Meier for survival analysis of cervical cancer patient and found significant mutational abnormalities in GTs. The high frequency mutated gene was identified as PARP14. RT-qPCR revealed significantly higher mRNA expression of PARP14 compared to precancerous tissue. Using IHC combined with Kaplan-Meier,patients in the PARP14 high expression group had a better prognosis than the low expression group. The study identified PARP14 as a frequently mutated gene in cervical cancer and proposed its potential role in diagnosis and treatment.

SUBMITTER: Wang H 

PROVIDER: S-EPMC10638145 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Exploration of glycosyltransferases mutation status in cervical cancer reveals PARP14 as a potential prognostic marker.

Wang Hui H   Luo Shen S   Wu Xin X   Ruan Yuanyuan Y   Qiu Ling L   Feng Hao H   Zhu Shurong S   You Yanan Y   Li Ming M   Yang Wenting W   Zhao Yanding Y   Tao Xiang X   Jiang Hua H  

Glycoconjugate journal 20230831 5


This study investigates the potential role of Glycosyltransferases (GTs) in the glycosylation process and their association with malignant tumors. Specifically, the study focuses on PARP14, a member of GTs, and its potential as a target for tumors in the diagnosis and treatment of cervical cancer. To gather data, the study used somatic mutation data, gene expression data and clinical information from TCGA-CESE dataset as well as tissue samples from cervical cancer patients. Further verification  ...[more]

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