Evidence map›Paper›PMID 36940177›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies.

Cassandra A Hathaway, Jose R Conejo-Garcia, Brooke L Fridley, Bernard Rosner, Daryoush Saeed-Vafa, Carlos Moran Segura, Jonathan V Nguyen, Jonathan L Hecht, Naoko Sasamoto, Kathryn L Terry and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  6. Associations between Parity, History of Breastfeeding, and T-cell Profile of Ovarian Tumors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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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

12 authors at 4 institutions in 1 country.

Cassandra A HathawayDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-2919-0499
Jose R Conejo-GarciaDepartment of Immunology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-6431-4074
Brooke L FridleyDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-7739-7956
Bernard RosnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0001-6907-0056
Daryoush Saeed-VafaDepartment of Anatomic Pathology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-5010-0964
Carlos Moran SeguraAdvanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-8702-0554
Jonathan V NguyenAdvanced Analytical and Digital Laboratory, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-6146-2047
Jonathan L HechtDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4771-2585
Naoko SasamotoDepartment of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School; Boston, Massachusetts.ORCID 0000-0002-4526-2181
Kathryn L TerryDepartment of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School; Boston, Massachusetts.ORCID 0009-0002-5848-4661
Shelley S TworogerDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-6986-7046
Mary K TownsendDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0003-2452-4477
Moffitt Cancer Center · USBrigham and Women's Hospital · USBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
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
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
NCI NIH HHS P01 CA087969NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundDespite the immunogenic nature of many ovarian tumors, treatment with immune checkpoint therapies has not led to substantial improvements in ovarian cancer survival. To advance population-level research on the ovarian tumor immune microenvironment, it is critical to understand methodologic issues related to measurement of immune cells on tissue microarrays (TMA) using multiplex immunofluorescence (mIF) assays.

methodsIn two prospective cohorts, we collected formalin-fixed, paraffin-embedded ovarian tumors from 486 cases and created seven TMAs. We measured T cells, including several sub-populations, and immune checkpoint markers on the TMAs using two mIF panels. We used Spearman correlations, Fisher exact tests, and multivariable-adjusted beta-binomial models to evaluate factors related to immune cell measurements in TMA tumor cores.

resultsBetween-core correlations of intratumoral immune markers ranged from 0.52 to 0.72, with more common markers (e.g., CD3+, CD3+CD8+) having higher correlations. Correlations of immune cell markers between the whole core, tumor area, and stromal area were high (range 0.69-0.97). In multivariable-adjusted models, odds of T-cell positivity were lower in clear cell and mucinous versus type II tumors (ORs, 0.13-0.48) and, for several sub-populations, were lower in older tissue (sample age > 30 versus ≤ 10 years; OR, 0.11-0.32).

conclusionsOverall, high correlations between cores for immune markers measured via mIF support the use of TMAs in studying ovarian tumor immune infiltration, although very old samples may have reduced antigenicity. IMPACT: Future epidemiologic studies should evaluate differences in the tumor immune response by histotype and identify modifiable factors that may alter the tumor immune microenvironment.

Indexed as

Ovarian NeoplasmsAgedBiomarkersBiomarkers, TumorChildEpidemiologic StudiesFemaleHumansImmunohistochemistryProspective StudiesTumor MicroenvironmentBiomarkersBiomarkers, Tumor

Identifiers

PMID36940177
PMCPMC10239319
OpenAlexW4327899660

What OpenQuestion holds

Textmetadata
LicenceTDM
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.