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Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Multiomics Analysis Of The Phlda Gene Family In Different Cancers And Their Clinical Prognostic Value.

Home
Research Domains
Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Multiomics Analysis Of The Phlda Gene Family In Different Cancers And Their Clinical Prognostic Value.

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Multiomics Analysis of the PHLDA Gene Family in Different Cancers and Their Clinical Prognostic Value.

Safia Iqbal¹, Md Rezaul Karim¹, Shahnawaz Mohammad²

¹Department of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea.

Current Issues in Molecular Biology

|June 26, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

The PHLDA gene family shows potential as cancer biomarkers. PHLDA1, PHLDA2, and PHLDA3 may serve as therapeutic targets for various human cancers, including kidney, colon, brain, esophageal, pancreatic, ovarian, and gastric types.

Keywords:

PHLDA (pleckstrin homology-like domain family) gene cancer biomarker gene ontology (GO)gene pathway

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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

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Published on: June 8, 2019

Area of Science:

Oncology
Genetics
Bioinformatics

Background:

The pleckstrin homology-like domain family (PHLDA) genes are recognized for their potential as cancer biomarkers and therapeutic targets.
The specific prognostic significance of PHLDA genes across various human cancers is not fully understood.
The PHLDA gene family comprises PHLDA1, PHLDA2, and PHLDA3.

Purpose of the Study:

To investigate the role of PHLDA genes as prognostic biomarkers in human cancers.
To systematically analyze the expression profiles and predictive significance of PHLDA family members.
To identify potential therapeutic targets within the PHLDA gene family for different cancer types.

Main Methods:

Systematic multiomics investigation including survival analyses and protein-protein interaction analysis.

Utilized various online platforms to evaluate PHLDA gene expression and prognostic value in human tumors.

Performed mutation and copy number alteration analyses, alongside Gene Ontology (GO) and pathway analyses.

Main Results:

PHLDA1 identified as a potential therapeutic target for kidney, colon, and brain cancers.
PHLDA2 indicated as a therapeutic target for colon, esophagus, and pancreatic cancers.
PHLDA3 suggested as a therapeutic target for ovarian, renal, and gastric cancers.

Conclusions:

This study reveals the expression profiles and prognostic implications of PHLDA family members in diverse cancers.
PHLDA genes represent promising biomarkers and potential therapeutic targets for multiple human malignancies.
The findings provide a foundation for developing targeted therapies based on PHLDA gene expression in specific cancers.