Evidence map›Paper›PMID 42567884›Full record

ArticleOncogene2026

A comprehensive spatial proteome landscape of ectopic lymphoid-like structures in metastatic colorectal cancer reveals specific signatures for predicting clinical outcomes.

Qinqin Wang, Guanyu Yu, Li Feng, Zimeng Li, Rongbo Wen, Zipeng Ye, Leqi Zhou, Ran Lin, Kuo Zheng, Chenguang Bai and 4 more

Abstract read
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In one paragraph

Article in Oncogene, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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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

14 authors.

Qinqin Wang *Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guanyu Yu *Colorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China.ORCID http://orcid.org/0000-0001-5416-3559
Li Feng *Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, China-Hungary Belt-and-Road Joint laboratory on Brain Science, Shanghai Key Laboratory of Precision Gene Editing and Clinical Translation, International Center for Primate Brain Research, Chinese Academy of Sciences, Shanghai, China.
Zimeng Li *Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rongbo WenColorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China.ORCID http://orcid.org/0000-0002-3098-6785
Zipeng YeInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, China-Hungary Belt-and-Road Joint laboratory on Brain Science, Shanghai Key Laboratory of Precision Gene Editing and Clinical Translation, International Center for Primate Brain Research, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0004-6511-2799
Leqi ZhouColorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China.
Ran LinColorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China.
Kuo ZhengColorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China.
Chenguang BaiDepartment of Pathology, Changhai Hospital, Naval Medical University, Shanghai, China.ORCID http://orcid.org/0000-0001-9980-8381
Yingjie JiangDepartment of Pathology, Changhai Hospital, Naval Medical University, Shanghai, China.
Yidi SunInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, China-Hungary Belt-and-Road Joint laboratory on Brain Science, Shanghai Key Laboratory of Precision Gene Editing and Clinical Translation, International Center for Primate Brain Research, Chinese Academy of Sciences, Shanghai, China. ydsun@ion.ac.cn.ORCID http://orcid.org/0000-0002-4191-2917
Wei ZhangColorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai, China. weizhang2000cn@163.com.
Chen LiCenter for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. cli@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously generated a global bulk-level proteogenomic atlas of metastatic colorectal cancer (CRC) in a Chinese cohort (CCRC). Using formalin-fixed paraffin-embedded tissues from this cohort, we identified 2095 ectopic lymphoid-like structures (ELSs) across 132 primary tumors. Both lymphoid aggregates (Aggs) and tertiary lymphoid structures (TLSs) were significantly associated with metastasis and clinical outcomes in CRC, in which the spatial and compositional heterogeneity of ELSs and their clinical relevance remain unknown. Here, we upgraded our LCM-MTA platform to version 2.0 for deep spatial proteomics and profiled spatial proteomic landscapes from matched mCRC and non-mCRC cases with comparable baseline clinical features. This analysis revealed pronounced spatial heterogeneity in protein expression, distinguishing ELSs from parenchymal regions in paired tumor and para-carcinoma tissues. Notably, TLSs displayed distinct functional states: mCRC-associated TLSs showed enrichment of anti-tumor immune activation pathways, whereas non-mCRC TLSs were enriched in acute inflammatory response pathways. Based on these findings, we developed a 13-protein TLS signature and scoring system to predict metastasis and prognosis in the CCRC cohort, validated in two independent CPTAC cohorts. We present a comprehensive spatial proteomic map of ELSs in metastatic CRC and identify a TLS-based signature with strong potential for predicting metastasis and clinical outcomes.

Indexed as

Colorectal NeoplasmsProteomeTertiary Lymphoid StructuresBiomarkers, TumorFemaleHumansMaleMiddle AgedNeoplasm MetastasisPrognosisProteomicsBiomarkers, TumorProteome

Identifiers

PMID42567884

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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.