Evidence map›Paper›PMID 40880011›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Integrative genomic analysis identifies clinically relevant prognostic markers for colorectal cancer patients with liver metastasis.

Wentao Li, Ming Liu, Liula Wu, Bosen Zhu, Xiangtao Li, Ziyi Yang, Yi Liang, Junqiong Lin

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wentao Li *Department of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Ming Liu *HaploX Biotechnology, Shenzhen, China.ORCID http://orcid.org/0000-0002-6701-3338
Liula Wu *Department of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Bosen ZhuDepartment of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xiangtao LiDepartment of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Ziyi YangDepartment of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yi LiangDepartment of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Junqiong LinDepartment of Gastroenteroanal Surgery, The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China. lin15875986689@163.com.

Funding

Medical Science and Technology Foundation of Guangdong Province B2024334
6 · The paper itself

Abstract

purposeColorectal liver metastases (CRLM) pose a significant clinical challenge due to their high recurrence rates, even after surgical resection. There is an urgent need for reliable prognostic biomarkers to improve risk stratification and guide treatment decisions for CRLM patients. METHODS/PATIENTS: In this study, we performed whole-exome sequencing (WES) on 57 CRLM patients and conducted a comparative genomic analysis of primary tumors and matched liver metastases in 8 patients. We systematically identified prognostic factors associated with overall survival (OS) and developed a predictive nomogram for CRLM patients. RESULTS AND

conclusionsThe most frequently mutated genes in our cohort were APC (64.91%) and TP53 (64.91%), followed by KRAS (50.88%), PIK3CA (24.56%), and SMAD4 (24.56%). Pathway analysis revealed significant enrichment in p53, IGF, and Ras signaling pathways. Notably, primary and metastatic lesions exhibited high mutational concordance. Multivariate analysis identified five independent prognostic factors for OS: number of metastasis-positive lymph node stations in primary resected tumor tissue, mutational status of ZNF717 and MUC2, APC mutation status, and chr9p13.3 amplification. The nomogram integrating these factors achieved a C index of 0.798 for OS prediction. Our findings suggest that integrating genomic profiling into clinical practice could enhance prognostic assessment and optimize treatment stratification for CRLM patients.

Indexed as

Biomarkers, TumorColorectal NeoplasmsLiver NeoplasmsAdenomatous Polyposis Coli ProteinAdultAgedAged, 80 and overClass I Phosphatidylinositol 3-KinasesExome SequencingFemaleGenomicsHumansMaleMiddle AgedMutationNomogramsAdenomatous Polyposis Coli ProteinAPC protein, humanBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins p21(ras)Smad4 ProteinSMAD4 protein, humanTP53 protein, humanTumor Suppressor Protein p53Colorectal liver metastasesGenomic landscapeNomogramOverall survivalPrognostic factors

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.