Evidence map›Paper›PMID 26146958›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2015

Differential miRNA expressions in peripheral blood mononuclear cells for diagnosis of lung cancer.

Jie Ma, Yanli Lin, Min Zhan, Dean L Mann, Sanford A Stass, Feng Jiang

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Liquid biopsies in cancer.Molecular biomedicine · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Molecular Beacon for Detection miRNA-21 as a Biomarker of Lung Cancer.International journal of molecular sciences · 2022
    Article
  16. Review
  17. Review
  18. Update on molecular pathology and role of liquid biopsy in nonsmall cell lung cancer.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  19. Article
  20. CirculatingJournal of clinical medicine · 2021
    Article
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

6 authors at 1 institution in 2 countries.

Jie MaDepartment of Clinical Biochemistry, Jiangsu University School of Medicine, Zhenjiang, Jiangsu Province, China.
Yanli LinDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Min ZhanDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Dean L MannDepartment of Pathology, 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

Non-invasive Biomarker Panels for Early Detection of Lung Squamous Cell CarcinomaR01CA161837 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI JIANG, FENG · 2011 to 2013
$998k
A diagnostic model for malignant pulmonary nodulesR21CA240556 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI JIANG, FENG · 2019 to 2020
$370k
Early detection of lung cancer in VeteransI01CX000512 · VA · BALTIMORE VA MEDICAL CENTER · PI JIANG, FENG · 2012 to 2020
–
CSRD VA I01 CX000512NCI NIH HHS 5U24CA11509NCI NIH HHS R01 CA161837NCI NIH HHS R01CA161837NCI NIH HHS R21 CA240556
6 · The paper itself

Abstract

Tremendous efforts have been made to develop cancer biomarkers by detecting circulating extracellular miRNAs directly released from tumors. Yet, none of the cell-free biomarkers has been accepted to be used for early detection of non-small cell lung cancer (NSCLC). Peripheral blood mononucleated cells (PBMCs) act as the first line of defense against malignancy in immune system, their dysfunction may occur as an early event in cancer immunogenicity or immune evasion. We proposed to investigate whether analysis of miRNA expressions of PBMCs has diagnostic value for NSCLC. We first used a microarray to analyze PBMCs of 16 stage I NSCLC patients and 16 cancer-free smokers, and identified seven PBMC miRNAs with a significantly altered expression level in NSCLC patients. In a training set of 84 NSCLC patients and 69 cancer-free smokers, a panel of two miRNAs (miRs-19b-3p and -29b-3p) were developed from the seven PBMC miRNAs, producing 72.62% sensitivity and 82.61% specificity in identifying NSCLC. Furthermore, the miRNAs could identify squamous cell lung carcinoma (SCC), a major type of NSCLC, with 80.00% sensitivity and 89.86% specificity. The expression levels of the miRNAs were independent of disease stage. In a testing set of 56 NSCLC patients and 46 controls, the performance of the biomarkers was reproducibly confirmed. The study presents the first in-depth analysis of PBMC miRNA profile of NSCLC patients. The assessment of PBMC miRNAs may provide a new diagnostic approach for the early detection of NSCLC.

Indexed as

Early Detection of CancerGene Expression Regulation, NeoplasticAgedBiomarkersCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCase-Control StudiesCohort StudiesFemaleFollow-Up StudiesHumansLeukocytes, MononuclearLungLung NeoplasmsMaleMarylandBiomarkersMicroRNAsMIRN19A microRNA, humanMIRN29a microRNA, human

Identifiers

PMID26146958
PMCPMC4586315
OpenAlexW2134453734

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.