Evidence map›Paper›PMID 26469225›Full record

ArticleScientific reports2015

Distinct microbiological signatures associated with triple negative breast cancer.

Sagarika Banerjee, Zhi Wei, Fei Tan, Kristen N Peck, Natalie Shih, Michael Feldman, Timothy R Rebbeck, James C Alwine, Erle S Robertson

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Detection of Human CytomegalovirusThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2026
    Article
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  17. Fecal microbial transplants as investigative tools in cancer.American journal of physiology. Gastrointestinal and liver physiology · 2024
    Review
  18. Article
  19. Review
  20. Review

18 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 Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA.
Zhi WeiDepartment of Computer Science, College of Computing Sciences, New Jersey Institute of Technology, GITC 4400, University Heights, Newark, NJ 07102, USA.
Fei TanDepartment of Computer Science, College of Computing Sciences, New Jersey Institute of Technology, GITC 4400, University Heights, Newark, NJ 07102, USA.
Kristen N PeckDepartment of Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA.
Natalie ShihDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Michael FeldmanDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Timothy R RebbeckDepartment of Biostatistics and Epidemiology, University of Pennsylvania, 217 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA.
James C AlwineDepartment of Cancer Biology, University of Pennsylvania, 314 Biomedical Research Building, 421 Curie Blvd. Philadelphia, PA 19104, USA.
Erle S RobertsonDepartment of Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious agents are the third highest human cancer risk factor and may have a greater role in the origin and/or progression of cancers, and related pathogenesis. Thus, knowing the specific viruses and microbial agents associated with a cancer type may provide insights into cause, diagnosis and treatment. We utilized a pan-pathogen array technology to identify the microbial signatures associated with triple negative breast cancer (TNBC). This technology detects low copy number and fragmented genomes extracted from formalin-fixed paraffin embedded archival tissues. The results, validated by PCR and sequencing, define a microbial signature present in TNBC tissue which was underrepresented in normal tissue. Hierarchical clustering analysis displayed two broad microbial signatures, one prevalent in bacteria and parasites and one prevalent in viruses. These signatures demonstrate a new paradigm in our understanding of the link between microorganisms and cancer, as causative or commensal in the tumor microenvironment and provide new diagnostic potential.

Indexed as

AnimalsBacteriaCluster AnalysisDNADNA ProbesFemaleFungiGenomeHigh-Throughput Nucleotide SequencingHumansNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisParaffin EmbeddingParasitesPolymerase Chain ReactionSequence Analysis, DNADNADNA Probes

Identifiers

PMID26469225
PMCPMC4606812

What OpenQuestion holds

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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.