Evidence map›Paper›PMID 40640712›Full record

ArticleBMC gastroenterology2025

The prognostic value of immunoscore in the early-onset colorectal cancer.

Xinchun Wu, Sen Hou, Yingjiang Ye, Zhidong Gao

Abstract read
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Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xinchun Wu *Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, PR China.
Sen Hou *Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, PR China.ORCID http://orcid.org/0000-0001-9907-1914
Yingjiang Ye *Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, PR China. yeyingjiang@pkuph.edu.cn.
Zhidong Gao *Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, 100044, PR China. gaozhidong@pkuph.edu.cn.

Funding

Horizontal Research Project of Beijing Science and Technology Planning Project 2159000118
6 · The paper itself

Abstract

backgroundThe purpose of this study was to explore the prognostic value of Immunoscore in patients with early-onset colorectal cancer.

methodsWe retrospectively analyzed 708 colorectal adenocarcinoma patients (2017-2020), ultimately including 36 early-onset colorectal cancer cases after exclusions. CD3+/CD8 + lymphocytes were quantified using immunohistochemistry and a self-trained neural network model from Cellpose 2.0. Immunoscore was calculated based on T cell densities in tumor cores and invasive margins, stratified as high or low. Prognostic associations were assessed via Kaplan-Meier analysis, Cox regression, and restricted cubic spline models. Results of Cox regression was validated by post-hoc analysis.

resultsOf all early-onset colorectal cancer patients, 23(63.9%) patients were graded as Immunoscore-high, 13(36.1%) were graded as Immunoscore-low. The self trained model achieved high consistency with manual counting. High Immunoscore correlated with earlier clinical stages (stage I/II: P = 0.011), reduced metastasis risk (N0, P = 0.042; M0, P = 0.009), and lower mortality (P = 0.009). Univariate Cox regression analysis identified Immunoscore as a possible predictor for overall survival (Hazard Ratio = 5.82, P = 0.030) and progression free survival (Hazard Ratio = 3.68, P = 0.014). The Post-hoc power analysis showed the type II error probability (β) of univariate Cox analysis for overall survival with a hazard ratio of 5.82 was 0.282 (28.2%), while for progression free survival with a hazard ratio of 3.68, β was 0.006 (0.6%). Restricted cubic spline showed that the influence of CD3+/CD8 + cells in different region on prognosis was not simply linear. Although Immunoscore didn't remain statistically significant as an independent predictor of OS (Hazard Ratio = 4.76; P = 0.138) and PFS (Hazard Ratio = 1.83; P = 0.360) in multivariate Cox regression analysis, stratified Kapan-Meier curves by MMR status and clinical stage showed well separation.

conclusionImmunoscore can serve as a possible indicator in predicting prognosis of patients with early-onset colorectal cancer, but still need large sample research validation.

Indexed as

AdenocarcinomaCD8-Positive T-LymphocytesColorectal NeoplasmsAdultAgedAge of OnsetFemaleHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingNeural Networks, ComputerPrognosisProportional Hazards ModelsCellpose 2.0Early onset colorectal cancerImmunoscoreMachine learning

Identifiers

PMID40640712
PMCPMC12247202

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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.