Evidence map›Paper›PMID 42180948›Full record

ArticleTranslational cancer research2026

Tertiary lymphoid structure-related genes drive tumor microenvironment heterogeneity and prognostic disparities in left-

Hongyi Zhou, Xiaohong Qian, Qiujun Dai, Qiqi Zhu, Peiyuan Li, Wei Cui, Yibin Zhao

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hongyi ZhouDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Xiaohong QianDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Qiujun DaiDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Qiqi ZhuDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Peiyuan LiDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Wei CuiDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.
Yibin ZhaoDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) exhibits significant heterogeneity between left-sided (LCC) and right-sided (RCC) subtypes, influenced by tertiary lymphoid structures-related genes (TLSRGs). This study aimed to explore TLSRGs' roles in LCC/RCC differences, including expression, mutations, prognosis, and molecular pathways, while developing a prognostic risk model. Methods: Data were integrated from The Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD) (324 samples: 135 LCC, 189 RCC) and Gene Expression Omnibus (GEO) datasets. TLSRGs were analyzed for differential expression, mutations, and prognostic associations using Wilcoxon tests, Cox regression, and gene set variation analysis (GSVA). Consensus clustering identified molecular subtypes. Single-cell analysis involved Seurat/Harmony for clustering and annotation, single-sample gene set enrichment analysis (ssGSEA) for scoring, and CellChat for cell communication. A machine learning-based risk model was constructed by screening ten algorithms (including SuperPC, RSF, CoxBoost, etc.) using the Mime package. The SuperPC algorithm demonstrated the best performance and was built on TLSRGs and related pathways, validated via Concordance index (C-index), Kaplan-Meier (KM) curves, and receiver operating characteristic (ROC) analysis. Results: Integrated analysis revealed significant heterogeneity between LCC and RCC, characterized by distinct somatic mutation profiles, differential expression of 27 TLSRGs, and subtype stratification via TLSRG-based consensus clustering (C1 enriched in RCC, P<0.001, with higher GSVA activity, P<0.001). Single-cell transcriptomics demonstrated reduced T-cell proportions, elevated epithelial cells, and lower tertiary lymphoid structure (TLS) scores in RCC, alongside weakened cell-cell communication strength (notably epithelial-T/B cell interactions). Prognostic genes exhibited location-specificity: Conclusions: TLSRGs underpin LCC/RCC heterogeneity in mutations, expression, immunity, and cell interactions. The developed risk model offers robust prognostic value, highlighting potential therapeutic targets for sidedness-specific CRC management.

Indexed as

Colorectal cancer (CRC)consensus clusteringmachine learningtertiary lymphoid structures (TLS)

Identifiers

PMID42180948
PMCPMC13191011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.