Evidence map›Paper›PMID 28410234›Full record

ArticleOncotarget2017

The ovarian cancer oncobiome.

Sagarika Banerjee, Tian Tian, Zhi Wei, Natalie Shih, Michael D Feldman, James C Alwine, George Coukos, Erle S Robertson

Registry-linked trialAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06272240 (Study of the Role of the Tumor Microenvironment in Ovarian Cancer), which is not on this map. Cited by 132 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing 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.

NCT06272240 recruitingnot on this mapstarted 2024, after this paper: background citation

Study of the Role of the Tumor Microenvironment in Ovarian Cancer

Typeobservational_patient_registrySponsorUniversity of UdineRan2024 to 2027Enrolled50ConditionsOvarian Cancer Stage III, Ovarian Cancer Stage IVArmsOvarian Cancer Organoids
3 · Its place in the literature

Who cites it

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

  1. Guideline
  2. Pooled it
  3. Review
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  12. Microbiota in cancer: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
    Review
  13. Review
  14. Article
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  16. Article
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  18. Review
  19. Review
  20. Disrupted Cervicovaginal Microbiota: Its Role inInternational journal of molecular sciences · 2025
    Review

72 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

8 authors.

Sagarika BanerjeeDepartment of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, United States of America.
Tian TianDepartment of Computer Science, New Jersey Institute of Technology, Newark, United States of America.
Zhi WeiDepartment of Computer Science, New Jersey Institute of Technology, Newark, United States of America.
Natalie ShihDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, United States of America.
Michael D FeldmanDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, United States of America.
James C AlwineDepartment of Cancer Biology, University of Pennsylvania, Philadelphia, United States of America.
George CoukosDepartment of Oncology, University Hospital of Lausanne (CHUV), Lausanne, Switzerland.
Erle S RobertsonDepartment of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, United States of America.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

Humans and other mammals are colonized by microbial agents across the kingdom which can represent a unique microbiome pattern. Dysbiosis of the microbiome has been associated with pathology including cancer. We have identified a microbiome signature unique to ovarian cancers, one of the most lethal malignancies of the female reproductive system, primarily because of its asymptomatic nature during the early stages in development. We screened ovarian cancer samples along with matched, and non-matched control samples using our pan-pathogen array (PathoChip), combined with capture-next generation sequencing. The results show a distinct group of viral, bacterial, fungal and parasitic signatures of high significance in ovarian cases. Further analysis shows specific viral integration sites within the host genome of tumor samples, which may contribute to the carcinogenic process. The ovarian cancer microbiome signature provides insights for the development of targeted therapeutics against ovarian cancers.

Indexed as

MicrobiotaAnimalsBacteriaCarcinogenesisChromosome AberrationsDysbiosisFemaleFungiHelminthsHigh-Throughput Nucleotide SequencingHumansInfectionsOvarian NeoplasmsTranscriptomeVirusesmicrobiomenext generation sequencingoncobiomeovarian cancerpathochip

Identifiers

PMID28410234
PMCPMC5482651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.