Evidence map›Paper›PMID 31450489›Full record

ArticleCancer biomarkers : section A of Disease markers2019

Sputum long non-coding RNA biomarkers for diagnosis of lung cancer.

Chhavi Gupta, Jian Su, Min Zhan, Sanford A Stass, Feng Jiang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  12. Microbiota Biomarkers for Lung Cancer.Diagnostics (Basel, Switzerland) · 2021
    Article
  13. Review
  14. Exosomal Long Non-Coding RNAs in Lung Diseases.International journal of molecular sciences · 2020
    Review
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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 at 1 institution in 1 country.

Chhavi GuptaDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Jian SuDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Min ZhanDepartments of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Sanford A StassDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Feng JiangDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of molecular changes in sputum may help diagnose lung cancer. Long non-coding RNAs (lncRNAs) play vital roles in various biological processes, and their dysregulations contribute to the development and progression of lung tumorigenesis. Herein, we determine whether aberrant lncRNAs could be used as potential sputum biomarkers for lung cancer.

methodsUsing reverse transcription PCR, we measure expressions of lung cancer-associated lncRNAs in sputum of a discovery cohort of 67 lung cancer patients and 65 cancer-free smokers with benign diseases and a validation cohort of 59 lung cancer patients and 60 cancer-free smokers with benign diseases.

resultsIn the discovery cohort, four of the lncRNAs displayed a significantly different level in sputum of lung cancer patients vs.cancer-free smokers with benign diseases (all P< 0.001). From the four lncRNAs, three lncRNAs (SNHG1, H19, and HOTAIR) are identified as a biomarker panel, producing 82.09% sensitivity and 89.23% specificity for diagnosis of lung cancer. Furthermore, the biomarker panel has a higher sensitivity (82.09% vs. 52.24%, P= 0.02) and a similar specificity compared with sputum cytology (89.23% vs. 90.77%, P= 0.45). In addition, the lncRNA biomarker panel had a higher sensitivity (87.50% vs. 70.07%, p= 0.03) for diagnosis of squamous cell carcinoma compared with adenocarcinoma of the lung, while maintaining the same specificity (89.23%). The potential of the sputum lncRNA biomarkers for lung cancer detection is confirmed in the validation cohort.

conclusionWe have for the first time shown that the analysis of lncRNAs in sputum might be a noninvasive approach for diagnosis of lung cancer.

Indexed as

Adenocarcinoma of LungAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellFemaleFollow-Up StudiesHumansLung NeoplasmsMalePrognosisRNA, Long NoncodingSputumBiomarkers, TumorRNA, Long NoncodingbiomarkersDiagnosislncRNAlung cancersputum

Identifiers

PMID31450489
PMCPMC12826430
OpenAlexW2969278643

What OpenQuestion holds

Textmetadata
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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.