Evidence mapPaperPMID 42320170Full record

ArticleTranslational oncology2026

Single-cell and spatial transcriptomics reveal lactate-active epithelial-immune cell crosstalk that reprograms the immune microenvironment in colorectal cancer.

Haisheng Lan, Yang Li, Hua Li, Junyu Guo, Cunchuan Wang, Qianli Tang

Abstract read
In one paragraph

Article in Translational oncology, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Haisheng LanJinan University, Guangzhou, Guangdong, China; Department of Gastrointestinal Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China; Life Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Yang LiLife Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Hua LiLife Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Junyu GuoLife Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Cunchuan WangJinan University, Guangzhou, Guangdong, China. Electronic address: Twcc@jnu.edu.cn.
Qianli TangLife Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China. Electronic address: htmgx@ymun.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic reprogramming of tumor microenvironment is a critical driver of colorectal cancer (CRC) pathogenesis. In this context, dysregulated lactate metabolism plays a pivotal role in immunosuppression and therapeutic resistance. Integrating single-cell transcriptomics, spatial transcriptomics, and bulk sequencing datasets, this research delineated the lactate metabolic landscape across colorectal cancer (CRC) tumor ecosystems. Single-cell profiling revealed significant metabolic activity in both the epithelial and myeloid compartments. Consequently, a lactate metabolism score (LMscore) was developed, which is based on four core genes (COX15, SLC25A13, COX10, MPC1). An elevated LMscore has been demonstrated to reprogram epithelial developmental trajectories and reconfigure intercellular communication networks, notably through EFNA1-EPHA3-mediated crosstalk with fibroblasts and endothelial cells. Spatial transcriptomics corroborated intimate spatial colocalization and metabolic pathway co-enrichment between lactate-active epithelia and fibroblasts. Clinically, high LMscore independently predicts a decreased overall survival across multiple cohorts and defines a "cold" tumor immune phenotype. This phenotype is characterized by an accumulation of immunosuppressive cells including M2 macrophages and cancer-associated fibroblasts (CAFs) and a reduction in effector T-cell infiltration. This ultimately results in a refractory response to immune checkpoint blockade. Mechanistically, COX15 emerges as a central regulator of lactate metabolic dysregulation, coinciding with fibroblast-derived TGF-β secretion and immunosuppressive niche formation. Functional validation confirms that COX15 targeting suppresses tumor proliferation. This work establishes LMscore as a clinically robust biomarker for prognostication and immunotherapy response prediction, thereby providing a mechanistic foundation for metabolic reprogramming-targeted combinatorial therapies in CRC.

Indexed as

Colorectal cancerImmune microenvironmentLactate metabolismPrognostic biomarkerSingle-cell transcriptomics

Identifiers

PMID42320170
PMCPMC13315894

What Socratic holds

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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.