Evidence map›Paper›PMID 35869114›Full record

ArticleNPJ breast cancer2022

Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer.

Michal Marczyk, Tao Qing, Tess O'Meara, Vesal Yagahoobi, Vasiliki Pelekanou, Yalai Bai, Emily Reisenbichler, Kimberly S Cole, Xiaotong Li, Vignesh Gunasekharan and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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  15. Integrating Genomic Information with Tumor-Immune Microenvironment in Triple-Negative Breast Cancer.International journal of environmental research and public health · 2022
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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

16 authors at 4 institutions in 3 countries.

Michal MarczykDepartment of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland.
Tao QingDepartment of Internal Medicine, Section of Medical Oncology, Yale University, New Haven, CT, USA.
Tess O'MearaDepartment of Internal Medicine, Section of Medical Oncology, Yale University, New Haven, CT, USA.
Vesal YagahoobiDepartment of Pathology, Yale University, New Haven, CT, USA.
Vasiliki PelekanouDepartment of Pathology, Yale University, New Haven, CT, USA.
Yalai BaiDepartment of Pathology, Yale University, New Haven, CT, USA.
Emily ReisenbichlerDepartment of Pathology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-1570-6538
Kimberly S ColeDepartment of Pathology, Yale University, New Haven, CT, USA.
Xiaotong LiDepartment of Computational Biology & Bioinformatics, Biological & Biomedical Sciences, Yale University, New Haven, CT, USA.
Vignesh GunasekharanYale Cancer Center, Yale University, New Haven, CT, USA.
Eiman IbrahimDepartment of Pharmacology, Yale University, New Haven, CT, USA.
Kristina FanucciYale Cancer Center, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-3400-7211
Wei WeiYale Cancer Center, Yale University, New Haven, CT, USA.
David L RimmYale Cancer Center, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5820-4397
Lajos PusztaiYale Cancer Center, Yale University, New Haven, CT, USA. lajos.pusztai@yale.edu.ORCID http://orcid.org/0000-0001-9632-6686
Kim R M BlenmanYale Cancer Center, Yale University, New Haven, CT, USA. kim.blenman@yale.edu.ORCID http://orcid.org/0000-0001-6070-0728
Yale University · USYale Cancer Center · USBrigham and Women's Hospital · USSilesian University of Technology · PL

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Immune biological differences between Triple Negative Breast Cancer in African American and non-African American women and potential immunotherapy opportunities to improve treatment outcomeR01CA219647 · NCI · YALE UNIVERSITY · PI PUSZTAI, LAJOS · 2017 to 2020
$2.0M
Breast Cancer Research Foundation (BCRF) AwardHoward Hughes Medical Institute (HHMI) Medical Research Fellow AwardNCATS NIH HHS UL1 TR001863Susan G. Komen (Susan G. Komen Breast Cancer Foundation) Leadership AwardU.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA219647
6 · The paper itself

Abstract

Differences in the tumor immune microenvironment may result in differences in prognosis and response to treatment in cancer patients. We hypothesized that differences in the tumor immune microenvironment may exist between African American (AA) and NonAA patients, due to ancestry-related or socioeconomic factors, that may partially explain differences in clinical outcomes. We analyzed clinically matched triple-negative breast cancer (TNBC) tissues from self-identified AA and NonAA patients and found that stromal TILs, PD-L1 IHC-positivity, mRNA expression of immune-related pathways, and immunotherapy response predictive signatures were significantly higher in AA samples (p < 0.05; Fisher's Exact Test, Mann-Whitney Test, Permutation Test). Cancer biology and metabolism pathways, TAM-M2, and Immune Exclusion were significantly higher in NonAA samples (p < 0.05; Permutation Test, Mann-Whitney Test). There were no differences in somatic tumor mutation burden. Overall, there is greater immune infiltration and inflammation in AA TNBC and these differences may impact response to immune checkpoint inhibitors and other therapeutic agents that modulate the immune microenvironment.

Identifiers

PMID35869114
PMCPMC9307813
OpenAlexW4286457137

What OpenQuestion holds

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LicenceCC BY
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.