An interpretable breast cancer risk stratification model via multi-omics integration: multi-method development and cross-cohort validation

The study developed a new risk stratification model for cancer patients based on a multi-omics integration approach. Our work holds promise for supporting stratification, precision therapy, and prognostic prediction in cancer patients.

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Publication Details

Journal
Clinical & Translational Oncology
Published
2026-03-02
DOI
https://doi.org/10.1007/s12094-026-04287-8
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

An interpretable breast cancer risk stratification model via multi-omics integration: multi-method development and cross-cohort validation

Guo‐Ping Zhou, Xiaoxun Zhu, Yingliang Jin, Weirong Xue et al.
Clinical & Translational Oncology
Genetic Associations and Epidemiology
article

An interpretable breast cancer risk stratification model via multi-omics integration: multi-method development and cross-cohort validation

Guo‐Ping Zhou, Xiaoxun Zhu, Yingliang Jin, Weirong Xue, Changqing Xu, Yi Sun
article en

Abstract

The study developed a new risk stratification model for cancer patients based on a multi-omics integration approach. Our work holds promise for supporting stratification, precision therapy, and prognostic prediction in cancer patients.

Clinical & Translational Oncology
Xuzhou Medical College (CN)
Openalex Percentile: Top 37%
Genetic Associations and Epidemiology
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