Evidence map›Paper›PMID 41987073›Full record

ArticleBMC gastroenterology2026

Molecular subtyping of colorectal cancer based on inositol metabolism identifies PLCG2 as a key prognostic biomarker.

Dandan Hong, Jialin Dai, Xinyi Zhou

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Article in BMC gastroenterology, 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

3 authors.

Dandan HongDepartment of General Surgery, the Affiliated Hospital with Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China.
Jialin DaiDepartment of Pharmacy, Kunshan Hospital of Tranditional Chinese Medicine, 140, Kunshan, Suzhou, Jiangsu Province, 215300, China. Kathryndai12@163.com.
Xinyi ZhouDepartment of General Surgery, the Affiliated Hospital with Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China. 15961807821@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInositol metabolism, a crucial regulatory mechanism in cellular signaling, plays a pivotal role in colorectal cancer (CRC) tumorigenesis and progression. While multiple inositol-metabolizing enzymes have been implicated in CRC development, a systematic characterization of inositol metabolism-associated gene signatures and molecular subtyping based on these regulators remains unexplored.

methodsTranscriptomic profiles and clinical data of CRC patients were obtained from TCGA and GEO databases. Integrated transcriptomic analysis enabled the stratification of CRC into distinct inositol metabolism-associated molecular subtypes via unsupervised consensus clustering. An inositol metabolism-related prognostic signature was constructed using LASSO-Cox regression. The functional role of the key identified gene was validated through in vitro experiments.

resultsCRC was stratified into two distinct subtypes (Cluster 1 and Cluster 2) exhibiting significant heterogeneity in clinical outcomes, tumor microenvironment features, and therapeutic vulnerabilities. The Cluster 1 subtype demonstrated strong associations with microsatellite stability (MSS), cell cycle processes, MYC signaling, and better patient prognosis. In contrast, the Cluster 2 subtype was closely linked to microsatellite instability (MSI), epithelial-mesenchymal transition (EMT), and TGF-β signaling. Additionally, a low Inositol Score was associated with increased sensitivity to multiple chemotherapeutic and targeted agents. Notably, phospholipase C gamma 2 (PLCG2) was identified as a key discriminator between subtypes and a top prognostic biomarker. PLCG2 was upregulated in CRC tissues, and its knockdown significantly suppressed tumor cell proliferation and migration in vitro.

conclusionsThis study delineates novel inositol metabolism-based molecular subtypes in CRC, proposes PLCG2 as a promising prognostic biomarker and functional oncogene, and provides a conceptual framework for targeting inositol metabolism in clinical translation.

Indexed as

Biomarkers, TumorColorectal NeoplasmsInositolPhospholipase C gammaCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorInositolPhospholipase C gammaColorectal cancerInositol metabolismMolecular subtypingPLCG2Prognostic signature

Identifiers

PMID41987073
PMCPMC13224667

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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.