Evidence map›Paper›PMID 33409450›Full record

ArticleJNCI cancer spectrum2020

Coffee Intake and Colorectal Cancer Incidence According to T-Cell Response.

Tomotaka Ugai, Koichiro Haruki, Juha P Väyrynen, Rong Zhong, Jennifer Borowsky, Kenji Fujiyoshi, Mai Chan Lau, Melissa Zhao, Naohiko Akimoto, Tzuu-Wang Chang and 13 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

23 authors at 5 institutions in 2 countries.

Tomotaka UgaiDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Koichiro HarukiDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1686-3228
Juha P VäyrynenDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Rong ZhongDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Jennifer BorowskyConjoint Gastroenterology Department, QIMR Berghofer Medical Research Institute, Queensland, Brisbane, Australia.
Kenji FujiyoshiDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0310-5807
Mai Chan LauDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Melissa ZhaoDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Naohiko AkimotoDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9880-4143
Tzuu-Wang ChangDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Junko KishikawaDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Kota ArimaDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Shan-Shan ShiDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Simeng GuDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Charles S FuchsYale Cancer Center, New Haven, CT, USA.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Marios GiannakisDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
Xuehong ZhangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1120-0898
Molin WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jonathan A NowakDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.
Shuji OginoDepartment of Pathology, Brigham and Women's Hospital, Program in MPE Molecular Pathological Epidemiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3909-2323
Brigham and Women's Hospital · USBroad Institute · USHarvard University · USQIMR Berghofer Medical Research Institute · AUYale Cancer Center · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
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
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
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Spatial Immunopathological Epidemiology of Colorectal Adenoma-Carcinoma SpectrumR01CA248857 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jonathan Andrew Nowak, Shuji Ogino · 2020 to 2026
$6.6M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
Dietary And Lifestyle Determinants Of Colon Cancer Recurrence and SurvivalR01CA118553 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2007 to 2019
$4.4M
Impact of Celecoxib and Inflammation on Survival in Stage III Colon CancerR01CA169141 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2013 to 2018
$3.9M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
NCI NIH HHS K07 CA188126NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA127003NCI NIH HHS R00 CA215314NCI NIH HHS R01 CA118553NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA169141NCI NIH HHS R01 CA248857NCI NIH HHS R35 CA197735NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NIDDK NIH HHS K24 DK098311
6 · The paper itself

Abstract

We hypothesized that the associations between coffee intake and colorectal cancer (CRC) incidence might differ by immune cell densities in CRC tissue. Using the Nurses' Health Study and the Health Professionals Follow-up Study, we examined the association of coffee intake with incidence of CRC classified by intraepithelial or stromal T-cell subset densities by multiplex immunofluorescence assay for CD3, CD4, CD8, CD45RO (PTPRC), and FOXP3. We applied an inverse probability-weighted Cox proportional hazardsregression model to control for selection bias and potential confounders. During follow-up of 133 924 participants (3 585 019 person-years), we documented 3161 incident CRC cases, including 908 CRC cases with available data on T-cell densities in tumor tissue. The association between coffee intake and CRC was not statistically significantly different by intraepithelial or stroma T-cell subset (

Identifiers

PMID33409450
PMCPMC7771005
OpenAlexW3084294538

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.