Evidence map›Paper›PMID 27604545›Full record

ArticleScientific reports2016

Genome-wide profiling of transfer RNAs and their role as novel prognostic markers for breast cancer.

Preethi Krishnan, Sunita Ghosh, Bo Wang, Mieke Heyns, Dongping Li, John R Mackey, Olga Kovalchuk, Sambasivarao Damaraju

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

30 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  10. Midsize noncoding RNAs in cancers: a new division that clarifies the world of noncoding RNA or an unnecessary chaos?Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2022
    Review
  11. Article
  12. Review
  13. tRNAJournal of clinical laboratory analysis · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Role of tRNAs in Breast Cancer Regulation.Advances in experimental medicine and biology · 2021
    Review
  18. Article
  19. Review
  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

8 authors at 3 institutions in 1 country.

Preethi KrishnanDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Sunita GhoshDepartment of Oncology, University of Alberta, Edmonton, Alberta, T6G 1Z2, Canada.
Bo WangDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada.
Mieke HeynsDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada.
Dongping LiDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada.
John R MackeyDepartment of Oncology, University of Alberta, Edmonton, Alberta, T6G 1Z2, Canada.
Olga KovalchukDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada.
Sambasivarao DamarajuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
University of Lethbridge · CAUniversity of Alberta · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer RNAs (tRNAs, key molecules in protein synthesis) have not been investigated as potential prognostic markers in breast cancer (BC), despite early findings of their dysregulation and diagnostic potential. We aim to comprehensively profile tRNAs from breast tissues and to evaluate their role as prognostic markers (Overall Survival, OS and Recurrence Free Survival, RFS). tRNAs were profiled from 11 normal breast and 104 breast tumor tissues using next generation sequencing. We adopted a Case-control (CC) and Case-Only (CO) association study designs. Risk scores constructed from tRNAs were subjected to univariate and multivariate Cox-proportional hazards regression to investigate their prognostic value. Of the 571 tRNAs profiled, 76 were differentially expressed (DE) and three were significant for OS in the CC approach. We identified an additional 11 tRNAs associated with OS and 14 tRNAs as significant for RFS in the CO approach, indicating that CC alone may not capture all discriminatory tRNAs in prognoses. In both the approaches, the risk scores were significant in the multivariate analysis as independent prognostic factors, and patients belonging to high-risk group were associated with poor prognosis. Our results confirmed global up-regulation of tRNAs in BC and identified tRNAs as potential novel prognostic markers for BC.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansKaplan-Meier EstimateMiddle AgedPrognosisRNA, TransferUp-RegulationYoung AdultBiomarkers, TumorRNA, Transfer

Identifiers

PMID27604545
PMCPMC5015097
OpenAlexW2507229841

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.