Evidence map›Paper›PMID 34314488›Full record

ArticleCarcinogenesis2021

Blood biomarkers reflect the effects of obesity and inflammation on the human breast transcriptome.

Byuri Angela Cho, Neil M Iyengar, Xi Kathy Zhou, Monica Morrow, Dilip D Giri, Akanksha Verma, Olivier Elemento, Michael Pollak, Andrew J Dannenberg

Open access · greenAbstract read
In one paragraph

Article in Carcinogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Byuri Angela ChoDepartment of Medicine, Weill Cornell Medical College, New York, NY, USA.
Neil M IyengarDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Xi Kathy ZhouDepartment of Population Health Sciences, Weill Cornell Medical College, New York, NY, USA.
Monica MorrowDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Dilip D GiriDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Akanksha VermaDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA.
Olivier ElementoDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA.
Michael PollakDepartment of Medicine and Oncology, McGill University, Montreal, Quebec, Canada.
Andrew J DannenbergDepartment of Medicine, Weill Cornell Medical College, New York, NY, USA.ORCID 0000-0002-1901-6497
Cornell University · USMemorial Sloan Kettering Cancer Center · USMcGill University · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI CANTLEY, LEWIS C., FISCHBACH, CLAUDIA · 2016 to 2020
$10.2M
Breast Cancer Research FoundationNCI NIH HHS P30 CA008748NCI NIH HHS U54 CA210184
6 · The paper itself

Abstract

Obesity is a risk factor for the development of post-menopausal breast cancer. Breast white adipose tissue (WAT) inflammation, which is commonly found in women with excess body fat, is also associated with increased breast cancer risk. Both local and systemic effects are probably important for explaining the link between excess body fat, adipose inflammation and breast cancer. The first goal of this cross-sectional study of 196 women was to carry out transcriptome profiling to define the molecular changes that occur in the breast related to excess body fat and WAT inflammation. A second objective was to determine if commonly measured blood biomarkers of risk and prognosis reflect molecular changes in the breast. Breast WAT inflammation was assessed by immunohistochemistry. Bulk RNA-sequencing was carried out to assess gene expression in non-tumorous breast. Obesity and WAT inflammation were associated with a large number of differentially expressed genes and changes in multiple pathways linked to the development and progression of breast cancer. Altered pathways included inflammatory response, complement, KRAS signaling, tumor necrosis factor α signaling via NFkB, interleukin (IL)6-JAK-STAT3 signaling, epithelial mesenchymal transition, angiogenesis, interferon γ response and transforming growth factor (TGF)-β signaling. Increased expression of several drug targets such as aromatase, TGF-β1, IDO-1 and PD-1 were observed. Levels of various blood biomarkers including high sensitivity C-reactive protein, IL6, leptin, adiponectin, triglycerides, high-density lipoprotein cholesterol and insulin were altered and correlated with molecular changes in the breast. Collectively, this study helps to explain both the link between obesity and breast cancer and the utility of blood biomarkers for determining risk and prognosis.

Indexed as

TranscriptomeAdipose Tissue, WhiteBiomarkersBreast NeoplasmsFemaleHumansInflammationObesityBiomarkers

Identifiers

PMID34314488
PMCPMC8546933
OpenAlexW3186839674

What OpenQuestion holds

Textmetadata
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.