Evidence map›Paper›PMID 29867857›Full record

ArticleFrontiers in microbiology2018

Distinct Microbial Signatures Associated With Different Breast Cancer Types.

Sagarika Banerjee, Tian Tian, Zhi Wei, Natalie Shih, Michael D Feldman, Kristen N Peck, Angela M DeMichele, James C Alwine, Erle S Robertson

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing 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

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

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  16. Microbiota relationship between breast, colorectal, and lung cancer types.Medical oncology (Northwood, London, England) · 2025
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119 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 BanerjeeTumor Virology Program, Department of Otorhinolaryngology-Head and Neck Surgery and Microbiology, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Tian TianDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, United States.
Zhi WeiDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, United States.
Natalie ShihDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Michael D FeldmanDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Kristen N PeckTumor Virology Program, Department of Otorhinolaryngology-Head and Neck Surgery and Microbiology, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Angela M DeMicheleDivision of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
James C AlwineDepartment of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Erle S RobertsonTumor Virology Program, Department of Otorhinolaryngology-Head and Neck Surgery and Microbiology, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A dysbiotic microbiome can potentially contribute to the pathogenesis of many different diseases including cancer. Breast cancer is the second leading cause of cancer death in women. Thus, we investigated the diversity of the microbiome in the four major types of breast cancer: endocrine receptor (ER) positive, triple positive, Her2 positive and triple negative breast cancers. Using a whole genome and transcriptome amplification and a pan-pathogen microarray (PathoChip) strategy, we detected unique and common viral, bacterial, fungal and parasitic signatures for each of the breast cancer types. These were validated by PCR and Sanger sequencing. Hierarchical cluster analysis of the breast cancer samples, based on their detected microbial signatures, showed distinct patterns for the triple negative and triple positive samples, while the ER positive and Her2 positive samples shared similar microbial signatures. These signatures, unique or common to the different breast cancer types, provide a new line of investigation to gain further insights into prognosis, treatment strategies and clinical outcome, as well as better understanding of the role of the micro-organisms in the development and progression of breast cancer.

Indexed as

endocrine receptor positive breast cancerHER2 positive breast cancermicrobiometriple negative breast cancertriple positive breast cancer

Identifiers

PMID29867857
PMCPMC5962706

What OpenQuestion holds

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Registered trials

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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.