Evidence map›Paper›PMID 27631501›Full record

ArticlePloS one2016

Profiling of Small Nucleolar RNAs by Next Generation Sequencing: Potential New Players for Breast Cancer Prognosis.

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

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
3.1field-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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Role of SNHGs in Adverse Prognostic Factors in Cervical Cancer: A Systematic Review.Asian Pacific journal of cancer prevention : APJCP · 2025
    Pooled it
  2. Article
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  16. Roles of ribosomal RNA in health and disease.Frontiers in RNA research · 2023
    Article
  17. Review
  18. Article
  19. The Roles ofGenes · 2022
    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, Canada.
Sunita GhoshDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Bo WangDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada.
Mieke HeynsDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada.
Kathryn GrahamDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
John R MackeyDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Olga KovalchukDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada.
Sambasivarao DamarajuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Alberta Health Services · CAUniversity of Lethbridge · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most abundant, yet least explored, classes of RNA is the small nucleolar RNAs (snoRNAs), which are well known for their involvement in post-transcriptional modifications of other RNAs. Although snoRNAs were only considered to perform housekeeping functions for a long time, recent studies have highlighted their importance as regulators of gene expression and as diagnostic/prognostic markers. However, the prognostic potential of these RNAs has not been interrogated for breast cancer (BC). The objective of the current study was to identify snoRNAs as prognostic markers for BC. Small RNA sequencing (Illumina Genome Analyzer IIx) was performed for 104 BC cases and 11 normal breast tissues. Partek Genomics Suite was used for analyzing the sequencing files. Two independent and proven approaches were used to identify prognostic markers: case-control (CC) and case-only (CO). For both approaches, snoRNAs significant in the permutation test, following univariate Cox proportional hazards regression model were used for constructing risk scores. Risk scores were subsequently adjusted for potential confounders in a multivariate Cox model. For both approaches, thirteen snoRNAs were associated with overall survival and/or recurrence free survival. Patients belonging to the high-risk group were associated with poor outcomes, and the risk score was significant after adjusting for confounders. Validation of representative snoRNAs (SNORD46 and SNORD89) using qRT-PCR confirmed the observations from sequencing experiments. We also observed 64 snoRNAs harboring piwi-interacting RNAs and/or microRNAs that were predicted to target genes (mRNAs) involved in tumorigenesis. Our results demonstrate the potential of snoRNAs to serve (i) as novel prognostic markers for BC and (ii) as indirect regulators of gene expression.

Indexed as

High-Throughput Nucleotide SequencingBreast NeoplasmsFemaleHumansPrognosisProportional Hazards ModelsRNA, Small NucleolarRNA, Small Nucleolar

Identifiers

PMID27631501
PMCPMC5025248
OpenAlexW2519452348

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.