Evidence map›Paper›PMID 41822706›Full record

ArticleFrontiers in gastroenterology (Lausanne, Switzerland)2024

Intra-tumoral lymphocyte scoring in colorectal cancer: improving prognostic utility and correlation with underlying cancer biology.

Patrick L Wagner, Jianwu Xie, Devin C Flaherty, Hyun Park, Chelsea Knotts, Justine Debelius, Curtis Tilves, Neda Dadgar, Kunhong Xiao, Ali H Zaidi and 5 more

Abstract read
In one paragraph

Article in Frontiers in gastroenterology (Lausanne, Switzerland), 2024. 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. Microorganisms · 2025
    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

15 authors.

Patrick L WagnerAllegheny Health Network Cancer Institute, Pittsburgh, PA, United States.
Jianwu XieWinchester Medical Center, Winchester, VA, United States.
Devin C FlahertyWinchester Medical Center, Winchester, VA, United States.
Hyun ParkAllegheny Health Network Cancer Institute, Pittsburgh, PA, United States.
Chelsea KnottsAllegheny Health Network Cancer Institute, Pittsburgh, PA, United States.
Justine DebeliusCentre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institute, Stockholm, Sweden.
Curtis TilvesDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Neda DadgarTranslational Hematology and Oncology Research, Enterprise Cancer Institute, Cleveland Clinic, Cleveland, OH, United States.
Kunhong XiaoCenter for Proteomics and Artificial Intelligence, Center for Clinical Mass Spectrometry, Allegheny Health Network Cancer Institute, Pittsburgh, PA, United States.
Ali H ZaidiAllegheny Health Network Cancer Institute, Pittsburgh, PA, United States.
Louis Gil AcevedoDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
William LaFramboiseDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Ni ZhaoDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Cynthia SearsDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Noel MuellerDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intra-tumoral lymphocytes hold prognostic and predictive significance in colorectal cancer (CRC). The internationally validated Immunoscore™ predicts CRC survival risk by averaging percentile scores of tumor-associated CD3 Methods: 201 resected CRCs were subjected to quantitative CD3/CD8 immunohistochemistry, from which percentile cell counts were averaged ("I-score") in a manner analogous to the Immunoscore™. I-score and exploratory endpoints, including CD3 Results: CD3 Conclusions: I-score, in our study, was closely associated with potentially confounding biologic variables such as sex, active smoking, pTNM stage, and mutations in BRAF, and MMR genes. More precise and biologically relevant biomarkers can be achieved by using data-driven CD3

Indexed as

CD3/CD8 quantificationcolorectal cancerimmunoscoreintra-tumoral lymphocytesprognostic biomarkers

Identifiers

PMID41822706
PMCPMC12952342

What OpenQuestion holds

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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.