Evidence map›Paper›PMID 28058815›Full record

ArticleJournal of cachexia, sarcopenia and muscle2017

Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia.

Ashok Narasimhan, Sunita Ghosh, Cynthia Stretch, Russell Greiner, Oliver F Bathe, Vickie Baracos, Sambasivarao Damaraju

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 7% 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  19. Small non-coding RNA profiling in patients with gastrointestinal cancer.Journal of cachexia, sarcopenia and muscle · 2023
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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

7 authors at 3 institutions in 1 country.

Ashok NarasimhanDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Sunita GhoshDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Cynthia StretchDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Russell GreinerDepartment of Computing Sciences, University of Alberta, Edmonton, Alberta, Canada.
Oliver F BatheDepartments of Surgery and Oncology, University of Calgary, Calgary, Alberta, Canada.
Vickie BaracosDepartment of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Sambasivarao DamarajuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
University of Alberta · CAAlberta Cancer Foundation · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRs) are small non-coding RNAs that regulate gene (mRNA) expression. Although the pathological role of miRs have been studied in muscle wasting conditions such as myotonic and muscular dystrophy, their roles in cancer cachexia (CC) are still emerging.

objectivesThe objectives are (i) to profile human skeletal muscle expressed miRs; (ii) to identify differentially expressed (DE) miRs between cachectic and non-cachectic cancer patients; (iii) to identify mRNA targets for the DE miRs to gain mechanistic insights; and (iv) to investigate if miRs show potential prognostic and predictive value.

methodsStudy subjects were classified based on the international consensus diagnostic criteria for CC. Forty-two cancer patients were included, of which 22 were cachectic cases and 20 were non-cachectic cancer controls. Total RNA isolated from muscle biopsies were subjected to next-generation sequencing.

resultsA total of 777 miRs were profiled, and 82 miRs with read counts of ≥5 in 80% of samples were retained for analysis. We identified eight DE miRs (up-regulated, fold change of ≥1.4 at P < 0.05). A total of 191 potential mRNA targets were identified for the DE miRs using previously described human skeletal muscle mRNA expression data (n = 90), and a majority of them were also confirmed in an independent mRNA transcriptome dataset. Ingenuity pathway analysis identified pathways related to myogenesis and inflammation. qRT-PCR analysis of representative miRs showed similar direction of effect (P < 0.05), as observed in next-generation sequencing. The identified miRs also showed prognostic and predictive value.

conclusionsIn all, we identified eight novel miRs associated with CC.

Indexed as

TranscriptomeAdultAgedAged, 80 and overCachexiaComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedMolecular Sequence AnnotationMicroRNAsRNA, MessengerCancer cachexiagene expressionmicroRNAsmiRsmuscle transcriptomenext-generation sequencingskeletal muscleweight loss

Identifiers

PMID28058815
PMCPMC5476855
OpenAlexW2568351085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.