Evidence map›Paper›PMID 27600084›Full record

ArticleMicroarrays (Basel, Switzerland)2016

MicroRNA Profile of Lung Tumor Tissues Is Associated with a High Risk Plasma miRNA Signature.

Orazio Fortunato, Carla Verri, Ugo Pastorino, Gabriella Sozzi, Mattia Boeri

Abstract read
In one paragraph

Article in Microarrays (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Orazio FortunatoUnit of Tumor Genomics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. orazio.fortunato@istitutotumori.mi.it.
Carla VerriUnit of Tumor Genomics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. carla.verri@istitutotumori.mi.it.
Ugo PastorinoUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. ugo.pastorino@istitutotumori.mi.it.
Gabriella SozziUnit of Tumor Genomics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. gabriella.sozzi@istitutotumori.mi.it.
Mattia BoeriUnit of Tumor Genomics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. mattia.boeri@istitutotumori.mi.it.

Funding

Identifying non-coding RNAs for early detection and prevention of lung cancerU01CA166905 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M, PASS, HARVEY IRA · 2013 to 2017
$4.5M
NCI NIH HHS U01 CA166905
6 · The paper itself

Abstract

Lung cancer is the most common cause of cancer deaths worldwide. MicroRNAs (miRNAs) are short, non-coding RNAs that regulate gene expression. Many studies have reported that alterations in miRNA expression are involved in several human tumors. We have previously identified a circulating miRNA signature classifier (MSC) able to discriminate lung cancer with more aggressive features. In the present work, microarray miRNA profiling of tumor tissues collected from 19 lung cancer patients with an available MSC result were perform in order to find a possible association between miRNA expression and the MSC risk level. Eleven tissue mature miRNAs and six miRNA precursors were observed to be associated with the plasma MSC risk level of patients. Not one of these miRNAs was included in the MSC algorithm. A pathway enrichment analysis revealed a role of these miRNA in the main pathways determining lung cancer aggressiveness. Overall, these findings add to the knowledge that tissue and plasma miRNAs behave as excellent diagnostic and prognostic biomarkers, which may find rapid application in clinical settings.

Indexed as

liquid biopsylung cancermicroarraymicroRNA

Identifiers

PMID27600084
PMCPMC5040965

What OpenQuestion holds

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LicenceCC BY
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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.