Evidence map›Paper›PMID 25593345›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2015

Sputum microRNA biomarkers for identifying lung cancer in indeterminate solitary pulmonary nodules.

Lingxiao Xing, Jian Su, Maria A Guarnera, Howard Zhang, Ling Cai, Rixin Zhou, Sanford A Stass, Feng Jiang

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 6 pooled it
4.8field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 6 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Biomarkers Suitable for Early Detection of Intrathoracic Cancers in Primary Care: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  15. Computational and Bioinformatics Methods for MicroRNA Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
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  20. Microbiota Biomarkers for Lung Cancer.Diagnostics (Basel, Switzerland) · 2021
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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 at 2 institutions in 2 countries.

Lingxiao XingDepartment of Pathology, Hebei Medical University, Shijiazhuang, China. xinglingxiao@hotmail.com fjiang@som.umaryland.edu.
Jian SuDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
Maria A GuarneraDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
Howard ZhangDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Ling CaiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland.
Rixin ZhouNevada Cancer Center, Las Vegas, Nevada.
Sanford A StassDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
Feng JiangDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland. xinglingxiao@hotmail.com fjiang@som.umaryland.edu.
Hebei Medical University · CNUniversity of Maryland, Baltimore · US

Funding

Non-invasive Biomarker Panels for Early Detection of Lung Squamous Cell CarcinomaR01CA161837 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI JIANG, FENG · 2011 to 2013
$998k
Early detection of lung cancer in VeteransI01CX000512 · VA · BALTIMORE VA MEDICAL CENTER · PI JIANG, FENG · 2012 to 2020
–
CSRD VA I01 CX000512NCI NIH HHS R01 CA161837
6 · The paper itself

Abstract

purposeThe early detection of lung cancer in heavy smokers by low-dose CT (LDCT) can reduce the mortality. However, LDCT screening increases the number of indeterminate solitary pulmonary nodules (SPN) in asymptomatic individuals, leading to overdiagnosis. Making a definitive preoperative diagnosis of malignant SPNs has been a clinical challenge. We have demonstrated that sputum miRNAs could provide potential biomarkers for lung cancer. Here, we aimed to develop sputum miRNA biomarkers for diagnosis of malignant SPNs. EXPERIMENTAL

designUsing quantitative RT-PCR, we evaluated expressions of 13 sputum miRNAs, previously identified sputum miRNA signatures of lung cancer, in a training set of 122 patients with either malignant (n = 60) or benign SPNs (n = 62) to define a panel of biomarkers. We then validated the biomarker panel in an internal testing set of 136 patients with either malignant (n = 67) or benign SPNs (n = 69), and an external testing cohort of 155 patients with either malignant (n = 76) or benign SPNs (n = 79).

resultsIn the training set, a panel of three miRNA biomarkers (miRs21, 31, and 210) was developed, producing 82.93% sensitivity and 87.84% specificity for identifying malignant SPNs. The sensitivity and specificity of the biomarkers in the two independent testing cohorts were 82.09% and 88.41%, 80.52% and 86.08%, respectively, confirming the diagnostic value.

conclusionsSputum miRNA biomarkers may improve LDCT screening for lung cancer in heavy smokers by preoperatively diagnosing malignant SPNs. Nevertheless, a prospective study in a large population to validate the biomarkers is needed.

Indexed as

AgedBiomarkers, TumorFemaleHumansLung NeoplasmsMaleMicroRNAsMiddle AgedROC CurveSolitary Pulmonary NoduleSputumBiomarkers, TumorMicroRNAs

Identifiers

PMID25593345
PMCPMC4299920
OpenAlexW2130813048

What OpenQuestion holds

Textmetadata
LicenceTDM
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.