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Screening Of Gastric Cancer Diagnostic Biomarkers In The Homologous Recombination Signaling Pathway And Assessment Of Their Clinical And Radiomic Correlations.

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Screening Of Gastric Cancer Diagnostic Biomarkers In The Homologous Recombination Signaling Pathway And Assessment Of Their Clinical And Radiomic Correlations.

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Screening of gastric cancer diagnostic biomarkers in the homologous recombination signaling pathway and assessment of

Ahao Wu^1,2, Tengcheng Hu¹, Chao Lai¹

¹Department of Digestive Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Cancer Medicine

|August 29, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Keywords:

RAD51D XRCC2 gastric cancer homologous recombination radiomics

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Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

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Published on: January 22, 2018

New gastric cancer biomarkers RAD51D and XRCC2 were identified. Radiomic models predict their expression, aiding chemotherapy selection for better patient outcomes.

Area of Science:

Oncology
Genetics
Medical Imaging

Background:

Homologous recombination is crucial in gastric cancer development and drug resistance.
Identifying novel biomarkers in this pathway is essential for improved diagnostics and treatment.

Purpose of the Study:

To screen for novel gastric cancer diagnostic biomarkers within the homologous recombination pathway.
To develop a radiomic-based prediction model for biomarker expression to guide chemotherapy selection.

Main Methods:

Utilized The Cancer Genome Atlas (TCGA) for gastric cancer transcriptome data.
Employed machine learning to identify and experimentally validate RAD51D and XRCC2 as biomarkers.
Extracted radiomic features from CT images using The Cancer Imaging Archive and clinical data.

Main Results:

RAD51D and XRCC2 were identified as diagnostic biomarkers, correlating positively with advanced T, N, and TNM stages.
Radiomic models accurately predicted RAD51D and XRCC2 expression, validated in an external cohort.
Biomarker radiomic scores also correlated significantly with pathological T, N, and TNM stages.

Conclusions:

RAD51D and XRCC2 serve as significant diagnostic biomarkers for gastric cancer.
Radiomic characteristics can reflect the expression status of these biomarkers.
This approach holds potential for guiding chemotherapy regimen selection in gastric cancer patients.