Evidence map›Paper›PMID 34482363›Full record

ArticleCell death & disease2021

Prognostic correlations with the microbiome of breast cancer subtypes.

Sagarika Banerjee, Zhi Wei, Tian Tian, Dipayan Bose, Natalie N C Shih, Michael D Feldman, Thaer Khoury, Angela De Michele, Erle S Robertson

Abstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
–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.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Microbiota relationship between breast, colorectal, and lung cancer types.Medical oncology (Northwood, London, England) · 2025
    Article
  17. Review
  18. Review
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

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.

Sagarika BanerjeeDepartment of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Zhi WeiDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA.
Tian TianDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA.
Dipayan BoseDepartment of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4789-2838
Natalie N C ShihDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Michael D FeldmanDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Thaer KhouryDepartment of Pathology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Angela De MicheleDivision of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Erle S RobertsonDepartment of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. erle@pennmedicine.upenn.edu.ORCID 0000-0002-6088-2979

Funding

Avon Foundation for Women (Avon Foundation) Avon-02-2012-053
6 · The paper itself

Abstract

Alterations to the natural microbiome are linked to different diseases, and the presence or absence of specific microbes is directly related to disease outcomes. We performed a comprehensive analysis with unique cohorts of the four subtypes of breast cancer (BC) characterized by their microbial signatures, using a pan-pathogen microarray strategy. The signature (includes viruses, bacteria, fungi, and parasites) of each tumor subtype was correlated with clinical data to identify microbes with prognostic potential. The subtypes of BC had specific viromes and microbiomes, with ER+ and TN tumors showing the most and least diverse microbiome, respectively. The specific microbial signatures allowed discrimination between different BC subtypes. Furthermore, we demonstrated correlations between the presence and absence of specific microbes in BC subtypes with the clinical outcomes. This study provides a comprehensive map of the oncobiome of BC subtypes, with insights into disease prognosis that can be critical for precision therapeutic intervention strategies.

Indexed as

MicrobiotaBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansNeoplasm StagingPrincipal Component AnalysisPrognosisReceptors, EstrogenReceptors, ProgesteroneTriple Negative Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID34482363
PMCPMC8418604

What OpenQuestion holds

Textmetadata
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.