Evidence map›Paper›PMID 26341493›Full record

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

Application of plasma circulating microRNA-448, 506, 4316, and 4478 analysis for non-invasive diagnosis of lung cancer.

Tomasz Powrózek, Paweł Krawczyk, Dariusz M Kowalski, Barbara Kuźnar-Kamińska, Kinga Winiarczyk, Marta Olszyna-Serementa, Halina Batura-Gabryel, Janusz Milanowski

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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 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Mapping Research on miRNAs in Cancer: A Global Data Analysis and Bibliometric Profiling Analysis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
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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

8 authors.

Tomasz PowrózekDepartment of Pneumonology, Oncology, and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland. tomaszpowrozek@gmail.com.
Paweł KrawczykDepartment of Pneumonology, Oncology, and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Dariusz M KowalskiDepartment of Lung and Chest Tumors, Oncology Centre, Institute M. Sklodowska - Curie, Warsaw, Poland.
Barbara Kuźnar-KamińskaDepartment of Pulmonology, Allergology, and Respiratory Oncology, Poznan University of Medical Sciences, Poznań, Poland.
Kinga WiniarczykDepartment of Lung and Chest Tumors, Oncology Centre, Institute M. Sklodowska - Curie, Warsaw, Poland.
Marta Olszyna-SerementaDepartment of Lung and Chest Tumors, Oncology Centre, Institute M. Sklodowska - Curie, Warsaw, Poland.
Halina Batura-GabryelDepartment of Pulmonology, Allergology, and Respiratory Oncology, Poznan University of Medical Sciences, Poznań, Poland.
Janusz MilanowskiDepartment of Pneumonology, Oncology, and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant expression of microRNAs (miRNAs) in cancer patients compared to healthy people as well as possibility of detection of these molecules in blood samples make them potential biomarkers of various cancers. In the present study, we investigated the potential role of four miRNAs as lung cancer (LC) biomarkers: miRNA-448, 506, 4316, and 4478. Using quantitative reverse transcription polymerase chain reaction (qRT-PCR) technique, we assessed expression of studied miRNAs in plasma samples of 90 lung cancer patients and 85 healthy individuals. Receiver operating curves (ROC) with area under the curve (AUC) were used to assess accuracy of studied miRNAs for distinguishing LC patients from healthy individuals. The miRNA-448 and 4478 were significantly overexpressed in lung cancer patients compared to healthy people and these two molecules were qualified for further analysis. Combination ROC analysis of both biomarkers reached 90 % of sensitivity and 76.3 % of specificity (AUC = 0.896) for distinguishing operable (stage IA-IIB) non-small cell lung cancer (NSCLC) patients from healthy subjects. Our results suggest that the examination of miRNAs could be considered as potential lung cancer, non-invasive biomarkers.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorFemaleGene Expression ProfilingHumansLung NeoplasmsMaleMicroRNAsMiddle AgedReverse Transcriptase Polymerase Chain ReactionROC CurveSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN-4478 microRNA, humanMIRN448 microRNA, humanMIRN506 microRNA, humanBiomarkersEarly detectionLung cancermiRNA-4478miRNA-448

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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.