Evidence map›Paper›PMID 26157332›Full record

ArticleBioinformatics and biology insights2015

High-Throughput Sequencing of miRNAs Reveals a Tissue Signature in Gastric Cancer and Suggests Novel Potential Biomarkers.

Sylvain Darnet, Fabiano C Moreira, Igor G Hamoy, Rommel Burbano, André Khayat, Aline Cruz, Leandro Magalhães, Artur Silva, Sidney Santos, Samia Demachki and 3 more

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  6. Helicobacter pylori-induced miR-135b-5p promotes cisplatin resistance in gastric cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
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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

13 authors.

Sylvain DarnetInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil.
Fabiano C MoreiraInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Área de Ciências Exatas e Tecnológicas, Centro Universitário do Pará, Belém, PA, Brazil.
Igor G HamoyInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Universidade Federal Rural da Amazônia, Campus de Capanema, PA, Brazil.
Rommel BurbanoInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil.
André KhayatInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil.
Aline CruzInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil.
Leandro MagalhãesInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil.
Artur SilvaInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil.
Sidney SantosInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil.
Samia DemachkiNúcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil. ; Instituto de Ciências da Saúde, Universidade Federal do Pará, Belém, PA, Brazil.
Monica AssumpçãoInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, PA, Brazil.
Paulo AssumpçãoNúcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil. ; Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, PA, Brazil.
Ândrea Ribeiro-Dos-SantosInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil. ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, PA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer has a high incidence and mortality rate worldwide; however, the use of biomarkers for its clinical diagnosis remains limited. The microRNAs (miRNAs) are biomarkers with the potential to identify the risk and prognosis as well as therapeutic targets. We performed the ultradeep miRnomes sequencing of gastric adenocarcinoma and gastric antrum without tumor samples. We observed that a small set of those samples were responsible for approximately 80% of the total miRNAs expression, which might represent a miRNA tissue signature. Additionally, we identified seven miRNAs exhibiting significant differences, and, of these, hsa-miR-135b and hsa-miR-29c were able to discriminate antrum without tumor from gastric cancer regardless of the histological type. These findings were validated by quantitative real-time polymerase chain reaction. The results revealed that hsa-miR-135b and hsa-miR-29c are potential gastric adenocarcinoma occurrence biomarkers with the ability to identify individuals at a higher risk of developing this cancer, and could even be used as therapeutic targets to allow individualized clinical management.

Indexed as

biomarkersgastric cancermiRnomeNGS

Identifiers

PMID26157332
PMCPMC4485834

What OpenQuestion holds

Textmetadata
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.