ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025
Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
0numbers the graph read from it
0cells of the map it votes in
5citing 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.
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
19 authors.
Claire E Thomas *Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-9515-3277
Yasutoshi Takashima *Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0009-0430-454X
Daniel D BuchananColorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia.ORCID 0000-0003-2225-6675
Evertine WesselinkDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.ORCID 0000-0001-9347-7913
Conghui QuPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0003-1927-6245
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-8168-4712
Andressa Dias CostaDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-1046-4899
Steven GallingerLunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada.ORCID 0000-0002-6998-9414
Robert C GrantDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-9821-0377
Jeroen R HuyghePublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-6027-9806
Sushma ThomasPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0009-0008-7499-8068
Satoko UgaiProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0009-0001-9661-9363
Yuxue ZhongProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0009-0007-5718-7549
Kosuke MatsudaProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0009-0009-2847-0251
Tomotaka UgaiProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-0182-5269
Ulrike Peters *Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-5666-9318
Shuji Ogino *Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3909-2323
Jonathan A Nowak *Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0943-7407
Amanda I Phipps *Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-1446-2201
Funding
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5M
Detection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Genome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5M
Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
Canadian Institutes of Health Research (CIHR) 112746Cancer Research UK (CRUK) C10674/A27140National Health and Medical Research Council (NHMRC) GNT1194896National Institutes of Health (NIH) CA137088National Institutes of Health (NIH) HHSN268201700006INational Institutes of Health (NIH) R50 CA247122NCI NIH HHS L70 CA284301NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P20 CA252733NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA201407NCI NIH HHS R01 CA206279NCI NIH HHS R01 CA244588NCI NIH HHS R01 CA248857NCI NIH HHS R01 CA273198NCI NIH HHS R01 CA297681NCI NIH HHS R21 CA191312NCI NIH HHS R35 CA197735NCI NIH HHS R50 CA274122NCI NIH HHS T32 CA009168NCI NIH HHS T32 CA094880NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA167551NCI NIH HHS U01 CA167552NCI NIH HHS U24 CA074783NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INHLBI NIH HHS HHSN268201700006CNIH HHS S10 OD028685Office of Research Infrastructure Programs (ORIP) S10OD028685
6 · The paper itself
Abstract
backgroundPrior studies have demonstrated that the overall density of T cells in colorectal tumors is favorably associated with colorectal cancer survival; however, few studies have considered the potentially distinct roles of heterogeneous T-cell subsets in different tissue regions in relation to colorectal cancer outcomes.
methodsIncluding 1,113 colorectal cancer tumors from three observational studies, we conducted in situ T-cell profiling using a customized nine-plex [CD3, CD4, CD8, CD45RA, CD45RO, FOXP3, KRT (keratin), MKI67 (Ki-67), and DAPI] multispectral immunofluorescence assay. Multivariable-adjusted Cox proportional hazards models were used to estimate HRs and 95% confidence intervals for the associations of T-cell subset densities in both epithelial and stromal tissue areas in colorectal cancer with disease-specific survival.
resultsHigher CD3+CD4+ and CD3+CD8+ naïve, memory, and regulatory T-cell densities were significantly associated with better colorectal cancer-specific survival in both epithelial and stromal tissue areas (HR highest quantile vs. lowest quantile ranging 0.41-0.68). These associations persisted in models further adjusted for stage at diagnosis and were largely consistent when stratified by microsatellite instability status. However, the further stratification into CD4+ or CD8+ T-cell subsets beyond CD3+ subsets did not significantly improve the performance of our model in explaining colorectal cancer prognosis.
conclusionsThe density of T cells in colorectal cancer tissue, both overall and for several T-cell subset populations, is significantly associated with colorectal cancer-specific survival independent of microsatellite instability status and stage at diagnosis. IMPACT: Higher levels of T-cell densities in different locations with different functions are associated with better colorectal cancer-specific survival.
Indexed as
Colorectal NeoplasmsT-Lymphocyte SubsetsAgedFemaleHumansMaleMiddle AgedObservational Studies as TopicPrognosis
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.
Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival. · full record | OpenQuestion