Evidence map›Paper›PMID 41601676›Full record

ArticleFrontiers in immunology2025

From multi-omics to functional validation: the PTMRS stratifies TME and positions PDGFRB in CRC biology.

Yanhong Liu, Chao Lu, Luchun Hua, Hankun Hao, Qijing Zhang, Zongyou Zou, Jianbin Xiang, Yaping Wang

Abstract read
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Article in Frontiers in immunology, 2025. 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.

Yanhong Liu *Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Chao Lu *Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Luchun HuaDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Hankun HaoDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Qijing ZhangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Zongyou ZouDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Jianbin XiangDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Yaping WangDepartment of General Surgery, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) outcomes remain heterogeneous despite therapeutic advances, posing challenges to precise prognostic stratification. Post-translational modifications (PTMs) critically regulate protein function, tumor microenvironment (TME) crosstalk, and CRC progression, while most existing studies only focus on single PTM types and PTM signals are rarely integrated into CRC risk models. Methods: We built a post-translational modification-related risk signature (PTMRS) model by screening post-translational modification-related (PTM-related) genes associated with prognosis in The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression project (GTEx)datasets, then benchmarking 101 modeling strategies to select a Cox partial least squares framework. External validation was conducted across multiple independent cohorts and immunotherapy datasets. Single-cell RNA sequencing (scRNA-seq) data were used to calculate cell type-specific scores for the PTMRS and to perform CellChat-based analyses of cell-cell communication. To investigate mechanism, we targeted platelet-derived growth factor receptor-β (PDGFRβ) in human colonic fibroblasts and assessed CRC-cell responses to their conditioned media. Results: PTMRS robustly stratified overall survival across cohorts and aligned with an immune-cold, stroma-enriched phenotype. PTMRS was associated with pathways related to antigen presentation, protein homeostasis, and other processes within the CRC TIME. ScRNA-seq analysis further showed that PTMRS scores influenced intercellular communication between CRC cells and immune cells. PDGFRB was validated as a core node within the PTMRS network: activation of PDGFRβ in human colonic fibroblasts promoted CRC cell proliferation and migration, whereas sunitinib attenuated and reversed these effects. Conclusions: We established a post-translational modification-related risk signature (PTMRS) that robustly stratifies CRC prognosis and links tumor-intrinsic programs with features of the TIME. Higher PTMRS scores, particularly in tumors with

Indexed as

Colorectal NeoplasmsProtein Processing, Post-TranslationalReceptor, Platelet-Derived Growth Factor betaTumor MicroenvironmentGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisPDGFRB protein, humanReceptor, Platelet-Derived Growth Factor betacancer-associated fibroblastscolorectal cancerPDGFRBpost-translational modificationsPTMRStumor microenvironment

Identifiers

PMID41601676
PMCPMC12832729

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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.