Evidence map›Paper›PMID 35053601›Full record

ArticleCancers2022

A Signature of 14 Long Non-Coding RNAs (lncRNAs) as a Step towards Precision Diagnosis for NSCLC.

Anetta Sulewska, Jacek Niklinski, Radoslaw Charkiewicz, Piotr Karabowicz, Przemyslaw Biecek, Hubert Baniecki, Oksana Kowalczuk, Miroslaw Kozlowski, Patrycja Modzelewska, Piotr Majewski and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. Article
  8. Article
  9. miRNA-Seq Tissue Diagnostic Signature: A Novel Model for NSCLC Subtyping.International journal of molecular sciences · 2023
    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

16 authors at 3 institutions in 1 country.

Anetta SulewskaDepartment of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0001-7070-8491
Jacek NiklinskiDepartment of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland.
Radoslaw CharkiewiczDepartment of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland.
Piotr KarabowiczBiobank, Medical University of Bialystok, 15-269 Bialystok, Poland.
Przemyslaw BiecekFaculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland.
Hubert BanieckiFaculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland.ORCID 0000-0001-6661-5364
Oksana KowalczukDepartment of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland.
Miroslaw KozlowskiDepartment of Thoracic Surgery, Medical University of Bialystok, 15-269 Bialystok, Poland.
Patrycja ModzelewskaBiobank, Medical University of Bialystok, 15-269 Bialystok, Poland.
Piotr MajewskiDepartment of Microbiological Diagnostics and Infectious Immunology, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-3097-4581
Elzbieta TryniszewskaDepartment of Microbiological Diagnostics and Infectious Immunology, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0002-8428-9088
Joanna ReszecBiobank, Medical University of Bialystok, 15-269 Bialystok, Poland.
Zofia Dzieciol-AnikiejBiobank, Medical University of Bialystok, 15-269 Bialystok, Poland.
Cezary PiwkowskiDepartment of Thoracic Surgery, Poznan University of Medical Sciences, 60-569 Poznan, Poland.
Robert GryczkaDepartment of Oncology, Poznan University of Medical Sciences, 60-569 Poznan, Poland.
Rodryg RamlauDepartment of Oncology, Poznan University of Medical Sciences, 60-569 Poznan, Poland.ORCID 0000-0002-3199-2298
Medical University of Białystok · PLPoznan University of Medical Sciences · PLWarsaw University of Technology · PL

Funding

Medical University of Bialystok N/ST/ZB/18/004/1184National Centre for Research and Development STRATEGMED2/266484/2/NCBR/2015National Science Centre DEC-2018/02/X/NZ1/01943
6 · The paper itself

Abstract

LncRNAs have arisen as new players in the world of non-coding RNA. Disrupted expression of these molecules can be tightly linked to the onset, promotion and progression of cancer. The present study estimated the usefulness of 14 lncRNAs (HAGLR, ADAMTS9-AS2, LINC00261, MCM3AP-AS1, TP53TG1, C14orf132, LINC00968, LINC00312, TP73-AS1, LOC344887, LINC00673, SOX2-OT, AFAP1-AS1, LOC730101) for early detection of non-small-cell lung cancer (NSCLC). The total RNA was isolated from paired fresh-frozen cancerous and noncancerous lung tissue from 92 NSCLC patients diagnosed with either adenocarcinoma (LUAD) or lung squamous cell carcinoma (LUSC). The expression level of lncRNAs was evaluated by a quantitative real-time PCR (qPCR). Based on Ct and delta Ct values, logistic regression and gradient boosting decision tree classifiers were built. The latter is a novel, advanced machine learning algorithm with great potential in medical science. The established predictive models showed that a set of 14 lncRNAs accurately discriminates cancerous from noncancerous lung tissues (AUC value of 0.98 ± 0.01) and NSCLC subtypes (AUC value of 0.84 ± 0.09), although the expression of a few molecules was statistically insignificant (SOX2-OT, AFAP1-AS1 and LOC730101 for tumor vs. normal tissue; and TP53TG1, C14orf132, LINC00968 and LOC730101 for LUAD vs. LUSC). However for subtypes discrimination, the simplified logistic regression model based on the four variables (delta Ct AFAP1-AS1, Ct SOX2-OT, Ct LINC00261, and delta Ct LINC00673) had even stronger diagnostic potential than the original one (AUC value of 0.88 ± 0.07). Our results demonstrate that the 14 lncRNA signature can be an auxiliary tool to endorse and complement the histological diagnosis of non-small-cell lung cancer.

Indexed as

biomarkersdiagnosisepigeneticslncRNAlung cancer

Identifiers

PMID35053601
PMCPMC8773641
OpenAlexW4206404756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.