Evidence map›Paper›PMID 25738365›Full record

ArticleOncotarget2015

Identification of a microRNA signature associated with risk of distant metastasis in nasopharyngeal carcinoma.

Jeff P Bruce, Angela B Y Hui, Wei Shi, Bayardo Perez-Ordonez, Ilan Weinreb, Wei Xu, Benjamin Haibe-Kains, Daryl M Waggott, Paul C Boutros, Brian O'Sullivan and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The MicroRNAs in the Pathophysiology of Osteoporosis.International journal of molecular sciences · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Critical appraisal of epigenetic regulation of galectins in cancer.International journal of clinical oncology · 2022
    Review
  10. Tumor Suppressor microRNAs in Gastrointestinal Cancers: A Mini-Review.Recent advances in inflammation & allergy drug discovery · 2022
    Review
  11. Review
  12. Nasopharyngeal carcinoma: an evolving paradigm.Nature reviews. Clinical oncology · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

15 authors.

Jeff P BrucePrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Angela B Y HuiDepartment of Medicine, Stanford University, Stanford, CA, United States.
Wei ShiPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Bayardo Perez-OrdonezDepartment of Pathology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Ilan WeinrebDepartment of Pathology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Wei XuDivision of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Benjamin Haibe-KainsPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Daryl M WaggottDepartment of Medicine, Stanford University, Stanford, CA, United States.
Paul C BoutrosDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Brian O'SullivanDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
John WaldronDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Shao Hui HuangDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Eric X ChenDivision of Medical Oncology, University of Toronto, Toronto, ON, Canada.
Ralph GilbertDepartment of Otolaryngology, University of Toronto, Toronto, ON, Canada.
Fei-Fei LiuPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

purposeDespite significant improvement in locoregional control in the contemporary era of nasopharyngeal carcinoma (NPC) treatment, patients still suffer from a significant risk of distant metastasis (DM). Identifying those patients at risk of DM would aid in personalized treatment in the future. MicroRNAs (miRNAs) play many important roles in human cancers; hence, we proceeded to address the primary hypothesis that there is a miRNA expression signature capable of predicting DM for NPC patients. METHODS AND

resultsThe expression of 734 miRNAs was measured in 125 (Training) and 121 (Validation) clinically annotated NPC diagnostic biopsy samples. A 4-miRNA expression signature associated with risk of developing DM was identified by fitting a penalized Cox Proportion Hazard regression model to the Training data set (HR 8.25; p < 0.001), and subsequently validated in an independent Validation set (HR 3.2; p = 0.01). Pathway enrichment analysis indicated that the targets of miRNAs associated with DM appear to be converging on cell-cycle pathways.

conclusionsThis 4-miRNA signature adds to the prognostic value of the current "gold standard" of TNM staging. In-depth interrogation of these 4-miRNAs will provide important biological insights that could facilitate the discovery and development of novel molecularly targeted therapies to improve outcome for future NPC patients.

Indexed as

TranscriptomeAdolescentAdultAgedAged, 80 and overArea Under CurveCarcinomaFemaleHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsROC CurveMicroRNAs

Identifiers

PMID25738365
PMCPMC4414210

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.