Evidence map›Paper›PMID 41319390›Full record

ArticleTranslational oncology2026

The prognostic value of tumor macroscopic morphology in colorectal cancer.

Hsinyi Lin, Zimin Zhao, Yao Ma, Xiangchao Shi, Limei Guo, Junwei Wang, Wei Fu, Xin Zhou

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. 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

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

1 citing paper in PubMed.

  1. Tumour morphology as a visible readout of cancer biology: Towards artificial intelligence-enabled multimodal risk stratification in anal squamous cell carcinoma.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026
    Article
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

8 authors.

Hsinyi LinDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China.
Zimin ZhaoDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China.
Yao MaDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China.
Xiangchao ShiDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China.
Limei GuoDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Beijing, China.
Junwei WangDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China.
Wei FuDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China. Electronic address: fuwei@bjmu.edu.cn.
Xin ZhouDepartment of General Surgery, Peking University Third Hospital, Beijing, China; Cancer Center, Peking University Third Hospital, Beijing, China; Beijing Key Laboratory for Interdisciplinary Research in Gastrointestinal Oncology (BLGO), Beijing, China. Electronic address: zhouxinasd@sina.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to evaluate the prognostic value of tumor macroscopic morphology in colorectal cancer (CRC) and understand the molecular mechanism behind different tumor morphologies.

methods642 eligible patients were enrolled in this study, including 335 patients in the prospective study and 307 patients in the retrospective study. CRCs were categorized into protruded, ulcerative, and infiltrative types according to our morphological classification, and their clinicopathological features and prognosis were analyzed. Furthermore, bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq) and immunohistochemistry were performed to map the tumor microenvironment of different tumor morphologies.

resultsIn the prospective cohort, CRC with infiltrative type were significantly associated with unfavorable clinicopathological characteristics and poor survival compared with ulcerative type and protruded type. Bulk RNA sequencing revealed that the infiltrative type correlated with higher expression of fibroblast activation protein-α (FAP), periostin and platelet endothelial cell adhesion molecule-1 (PECAM-1), which corresponded with elevated cell proportions of stromal cells and endothelial cells in scRNA-seq. Additionally, a retrospective cohort was conducted to assess the value of preoperative endoscopic morphology and radiological morphology, both independently associated with disease-free survival (DFS).

conclusionWe proposed a revised tumor macroscopic morphology classification system in CRC. The infiltrative type is associated with poorer clinical outcomes, characterized by increased cancer-associated fibroblast (CAF) infiltration and enhanced angiogenesis compared with other types. Importantly, when expanded to endoscopy and CT preoperatively, both endoscopic and radiological morphology can serve as preoperative predictors of DFS.

Indexed as

CAFsColorectal cancerPrognosisTMETumor macroscopic morphology

Identifiers

PMID41319390
PMCPMC12718162

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