Evidence map›Paper›PMID 41815175›Full record

ArticleTranslational cancer research2026

Multiomics study on the tertiary lymphatic structure signature of colon cancer.

Jing Wang, Yuguo Sun, Yan Guo, Yanni Ren, Xueting Tu, Lei Zhang

Abstract read
In one paragraph

Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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

6 authors.

Jing WangDepartment of Pathology, The Hohhot Inner Mongolia People's Hospital, Hohhot, China.ORCID https://orcid.org/0009-0005-3258-018X
Yuguo SunDepartment of Pathology, The Hohhot Inner Mongolia People's Hospital, Hohhot, China.
Yan GuoDepartment of Pathology, The Hohhot Inner Mongolia People's Hospital, Hohhot, China.
Yanni RenDepartment of Pathology, The Hohhot Inner Mongolia People's Hospital, Hohhot, China.
Xueting TuDepartment of Pathology, Hulunbuir Second People's Hospital, Hulunbeier, China.
Lei ZhangDepartment of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tertiary lymphoid structures (TLSs) are abnormal clusters of immune cells found in inflamed, infected, or cancerous tissues. These structures contain high concentrations of T cells, B cells, plasma cells, follicular helper T cells, follicular dendritic cells, germinal centers, and high endothelial venules. TLSs serve as sites favorable for immune cell infiltration and facilitate the generation of an inflammatory response against tumors. We aimed to determine whether the TLS-related signature can stratify prognosis, predict immune microenvironment characteristics, and inform treatment for patients with colon cancer. Methods: The gene expression profiles of 901 patients with colon cancer were analyzed, including 458 from The Cancer Genome Atlas (TCGA) and 443 from the Gene Expression Omnibus (GEO). TLS patterns were assessed in all patients. TLS signature genes (TSGs) risk scores were constructed to quantify the TLS patterns of individuals via the Cox regression model and the least absolute shrinkage and selection operator (LASSO) algorithm, and their correlation with immune checkpoint and cell invasion characteristics of the tumor microenvironment (TME) was examined. Results: In the prognostic model, TLS-related genes (TRGs), including Conclusions: TSG expression may serve as a novel biomarker and has the potential to assess the infiltration of immune cells in the TME of patients with colon cancer. This evaluation can aid in determining prognosis and providing guidance for clinical treatment.

Indexed as

colon cancerimmune checkpointprognostic signatureTertiary lymphoid structures (TLSs)tumor microenvironment (TME)

Identifiers

PMID41815175
PMCPMC12971587

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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.