Deciphering the Genetic Alterations in PIK3CA Gene Interacting Network and Their Putative Association with Breast Cancer: A Computational Approach

Background: Cancer is a polygenic complex disorder involving a network of genes. The phosphatidylinositol 3-kinase (PIK3CA) has been reported as an oncogene that plays a role in many cancer types. The present study aims to demonstrate the association between the genetic alterations observed in the PIK3CA gene network and its role in establishing breast cancer.Method: In the present observational study, we used multiple tools (STRING, cBioportal, PANTHER, and UALCAN) to demonstrate the genetic alterations in the Breast Cancer Dataset (TCGA, Firehose Legacy). The PIK3CA gene interaction network was deduced, followed by the identification of genetic alterations, gene ontology, gene expression and survival analysis.Results: The PIK3CA gene was found to harbor 36% of genetic alterations in the form of gene amplification and mutations. The gene expression profile indicated the significant downregulation of PIK3CA gene transcripts. Interestingly, the Kaplan Meier survival analysis demonstrated that low/medium expression of PIK3CA presented with a good prognosis when compared with the high expression group. These results support the fact that PIK3CA is oncogenic.Conclusion: The PIK3CA gene has been considered as one of the potential druggable targets for breast cancer. The genetic alterations reported in the gene might influence its function. Therefore, further experimental validation is required to provide more insight into the functional association of mutations. Also, the effect of tumor suppressors and epigenetic factors targeting PIK3CA has to be assessed to gain more insight into the increased expression of PIK3CA in breast cancer patients.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
DOI
https://doi.org/10.30476/mejc.2024.100126.1972
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
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article

Deciphering the Genetic Alterations in PIK3CA Gene Interacting Network and Their Putative Association with Breast Cancer: A Computational Approach

SHILAP Revista de lepidopterología
PI3K/AKT/mTOR signaling in cancer
article

Deciphering the Genetic Alterations in PIK3CA Gene Interacting Network and Their Putative Association with Breast Cancer: A Computational Approach

article en

Abstract

Background: Cancer is a polygenic complex disorder involving a network of genes. The phosphatidylinositol 3-kinase (PIK3CA) has been reported as an oncogene that plays a role in many cancer types. The present study aims to demonstrate the association between the genetic alterations observed in the PIK3CA gene network and its role in establishing breast cancer.Method: In the present observational study, we used multiple tools (STRING, cBioportal, PANTHER, and UALCAN) to demonstrate the genetic alterations in the Breast Cancer Dataset (TCGA, Firehose Legacy). The PIK3CA gene interaction network was deduced, followed by the identification of genetic alterations, gene ontology, gene expression and survival analysis.Results: The PIK3CA gene was found to harbor 36% of genetic alterations in the form of gene amplification and mutations. The gene expression profile indicated the significant downregulation of PIK3CA gene transcripts. Interestingly, the Kaplan Meier survival analysis demonstrated that low/medium expression of PIK3CA presented with a good prognosis when compared with the high expression group. These results support the fact that PIK3CA is oncogenic.Conclusion: The PIK3CA gene has been considered as one of the potential druggable targets for breast cancer. The genetic alterations reported in the gene might influence its function. Therefore, further experimental validation is required to provide more insight into the functional association of mutations. Also, the effect of tumor suppressors and epigenetic factors targeting PIK3CA has to be assessed to gain more insight into the increased expression of PIK3CA in breast cancer patients.

SHILAP Revista de lepidopterología
Saveetha University (IN)
Good health and well-being
Openalex Percentile: Top 62%
PI3K/AKT/mTOR signaling in cancer
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Deciphering the Genetic Alterations in PIK3CA Gene Interacting Network and Their Putative Association with Breast Cancer: A Computational Approach · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS