Evidence map›Paper›PMID 26566629›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

miRNA profiling in serum and tissue samples to assess noninvasive biomarkers for NSCLC clinical outcome.

D Petriella, S De Summa, R Lacalamita, D Galetta, A Catino, A F Logroscino, O Palumbo, M Carella, F A Zito, G Simone and 1 more

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  13. Clinical significance of circulating miRNA detection in lung cancer.Medical oncology (Northwood, London, England) · 2016
    Review
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

11 authors at 4 institutions in 1 country.

D PetriellaMolecular Genetics Laboratory, IRCCS, Istituto Tumori "Giovanni Paolo II", v.le Orazio Flacco 65, 70124, Bari, Italy.
S De SummaMolecular Genetics Laboratory, IRCCS, Istituto Tumori "Giovanni Paolo II", v.le Orazio Flacco 65, 70124, Bari, Italy.
R LacalamitaMolecular Genetics Laboratory, IRCCS, Istituto Tumori "Giovanni Paolo II", v.le Orazio Flacco 65, 70124, Bari, Italy.
D GalettaMedical Oncology Unit, IRCCS, Istituto Tumori "Giovanni Paolo II", Bari, Italy.
A CatinoMedical Oncology Unit, IRCCS, Istituto Tumori "Giovanni Paolo II", Bari, Italy.
A F LogroscinoMedical Oncology Unit, IRCCS, Istituto Tumori "Giovanni Paolo II", Bari, Italy.
O PalumboMedical Genetics Unit, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
M CarellaMedical Genetics Unit, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
F A ZitoPathology Unit "S.-Paolo" Hospital, Bari, Italy.
G SimonePathology Unit, IRCCS, Istituto Tumori "Giovanni Paolo II", Bari, Italy.
S TommasiMolecular Genetics Laboratory, IRCCS, Istituto Tumori "Giovanni Paolo II", v.le Orazio Flacco 65, 70124, Bari, Italy. s.tommasi@oncologico.bari.it.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Tumori Bari · ITCasa Sollievo della Sofferenza · ITOspedale San Paolo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In NSCLC, the altered expression of some miRNAs in primary tumor tissues has been correlated with diagnosis and prognosis, while the role of circulating miRNAs as cancer biomarkers is currently emerging. MiRNA expression profile through miRNA Affymetrix array was evaluated on a training set formed by the tumor component (n = 30 NSCLC serum, n = 11/30 tumor tissues) and the control component (n = 10 healthy serum and n = 11/30 noncancerous counterparts). Statistical analyses highlighted the following: a = 55 miRNAs deregulated in tumor serum, b = 27 miRNAs deregulated in tumor tissues, and c = 2 miRNAs deregulated both in tumor serum and in tumor tissues. MiRwalk tool and enrichment pathway analyses selected some miRNAs whose target genes are correlated with the main pathways involved in NSCLC tumorigenesis. The altered expression of the selected miR-486-5p (a), miR-29c* (b), and miR-133a (c) was confirmed in the validation set (n = 40). MiR-486-5p had a higher expression in tumor serum than in tumor tissues (P = 0.004), and miR-29c* showed a lower expression in tumor tissues than in tumor serum (P < 0.001). MiR-133a had a not different expression in both tumor serum and tumor tissues (P = 0.07). The low level of miR-486-5p expression in the serum of affected patients was associated with a worse time to progression of disease (P = 0.010), and serum level of miR-486-5p was a significant prognostic indicator of NSCLC (adjusted hazard ratio = 0.179, P = 0.019). These data suggest the possibility to monitor affected patients through serum and/or tissue samples, analyzing the altered expression of specific miRNAs, in order to detect prognostic biomarkers in the NSCLC.

Indexed as

PrognosisAgedBiomarkers, TumorCarcinogenesisCarcinoma, Non-Small-Cell LungFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroarray AnalysisMicroRNAsMiddle AgedBiomarkers, TumorMicroRNAsBiomarkersCirculating miRNAsMicroRNAsNon small cell lung cancerSerum

Identifiers

PMID26566629
OpenAlexW2202611768

What OpenQuestion holds

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Registered trials

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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.