Evidence map›Paper›PMID 42212317›Full record

ArticleInternational journal of biological sciences2026

B3GNT6-Linked Multimodal Signatures Integrate Tissue Morphology and PTM-Related Transcriptomics to Stratify Tumor.

Kun Mei, Yipeng Xu, Renjun Gu, Zilu Chen, Foxing Tan, Zhuyan Shao, Jiahong Zhu, Xu Wang, Xigao Liu, Yan Huang and 2 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kun MeiNanjing University of Chinese Medicine, Nanjing, China.
Yipeng XuDepartment of Oncology, The People's Hospital of Bozhou, the Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, China.
Renjun GuNanjing University of Chinese Medicine, Nanjing, China.
Zilu ChenNanjing University of Chinese Medicine, Nanjing, China.
Foxing TanNanjing University of Chinese Medicine, Nanjing, China.
Zhuyan ShaoSchool of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Jiahong ZhuDepartment of Oncology, The People's Hospital of Bozhou, the Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, China.
Xu WangDepartment of Oncology, The People's Hospital of Bozhou, the Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, China.
Xigao LiuDepartment of Urology, Qilu Hospital, Cheeloo College of Medicine, Shan dong university, Shandong, China.
Yan HuangNanjing University of Chinese Medicine, Nanjing, China.
Xiaoxuan YuNanjing University of Chinese Medicine, Nanjing, China.
Hengrui LiuDepartment of Biochemistry, University of Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon adenocarcinoma (COAD) exhibits substantial molecular and microenvironmental heterogeneity, limiting the reliability and clinical application of single-omics biomarkers. Post-translational modifications (PTMs) play a pivotal role in connecting genotype to phenotype, yet prognostic models informed by PTMs seldom incorporate tissue architecture alongside transcriptomic states. This study developed a PTM-based multimodal framework for prognostic stratification and mechanistic analysis in COAD. Additionally, bulk RNA-seq data, clinicopathological information, and whole-slide H&E images from TCGA-COAD were integrated with single-cell RNA-seq (GSE132465) and spatial transcriptomics (GSE225857). Differentially expressed genes related to PTMs were identified, and pathomic features derived from H&E slides were fused with transcriptomic data via an autoencoder-based latent space. Prognosis-related latent features were then selected to establish a patient-level PTM-related multimodal risk score (PTMLS). A total of 102 PTM-related differentially expressed genes were enriched in glycan biosynthesis and ubiquitin-mediated pathways. The PTMLS effectively stratified patients into high- and low-risk groups, with significant differences in overall survival in both training (HR = 3.54, 95% CI 2.67-4.70, P = 0.001) and validation cohorts (HR = 2.68, 95% CI 1.49-4.82, P = 0.006). Low-risk tumors displayed higher immune and ESTIMATE scores, lower TIDE scores, distinct immunotherapy responder profiles, and differential predicted drug sensitivity. Cross-modal interpretation identified B3GNT6 as a key contributor linked to histopathological features. Single-cell and spatial analyses localized B3GNT6-associated epithelial states and their interactions with vascular and stromal compartments. Functional experiments further revealed that B3GNT6 expression was downregulated in tumors and inhibited colorectal cancer proliferation, migration, tumor growth, and metastasis. This PTM-informed multimodal framework integrates routine pathology and transcriptomic data, providing robust prognostic stratification, clinically relevant immune and therapeutic phenotyping, and mechanistic insight supporting B3GNT6 as a potential therapeutic target in COAD.

Indexed as

AdenocarcinomaColonic NeoplasmsTranscriptomeGene Expression Regulation, NeoplasticHumansPrognosisProtein Processing, Post-TranslationalSpatial TranscriptomicsB3GNT6colon adenocarcinomamultimodal integrationpathomics pathologypost-translational modifications

Identifiers

PMID42212317
PMCPMC13215456

What Socratic holds

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Registered trials

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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 Socratic graph.