Evidence map›Paper›PMID 29872497›Full record

ArticleOncotarget2018

An integromic signature for lung cancer early detection.

Qixin Leng, Yanli Lin, Min Zhan, Feng Jiang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Sputum long non-coding RNA biomarkers for diagnosis of lung cancer.Cancer biomarkers : section A of Disease markers · 2019
    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

4 authors at 1 institution in 1 country.

Qixin LengDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Yanli LinDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Min ZhanDepartment of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Feng JiangDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
University of Maryland, Baltimore · US

Funding

Immunological miRNA biomarkers for diagnosis of lung cancerR21CA205746 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI JIANG, FENG · 2016 to 2017
$369k
Early detection of lung cancer in VeteransI01CX000512 · VA · BALTIMORE VA MEDICAL CENTER · PI JIANG, FENG · 2012 to 2020
–
CSRD VA I01 CX000512NCI NIH HHS R21 CA205746
6 · The paper itself

Abstract

We previously developed three microRNAs (miRs-21, 210, and 486-5p), two long noncoding RNAs (lncRNAs) (SNHG1 and RMRP), and two fucosyltransferase (FUT) genes (FUT8 and POFUT1) as potential plasma biomarkers for lung cancer. However, the diagnostic performance of the individual panels is not sufficient to be used in the clinics. Given the heterogeneity of lung tumors developed from multifactorial molecular aberrations, we determine whether integrating the different classes of molecular biomarkers can improve diagnosis of lung cancer. By using droplet digital PCR, we analyze expression of the seven genes in plasma of a development cohort of 64 lung cancer patients and 33 cancer-free individuals. The panels of three miRNAs (miRs-21, 210, and 486-5p), two lncRNAs (SNHG1 and RMRP), and two FUTs (FUT8 and POFUT1) have a sensitivity of 81-86% and a specificity of 84-87% for diagnosis of lung cancer. From the seven genes, an integromic plasma signature comprising miR-210, SNHG1, and FUT8 is developed that produces higher sensitivity (95.45%) and specificity (96.97%) compared with the individual biomarker panels (all p<0.05). The diagnostic value of the signature was confirmed in a validation cohort of 40 lung cancer patients and 29 controls, independent of stage and histological type of lung tumor, and patients' age, sex, and smoking status (all p>0.05). The integration of the different categories of biomarkers might improve diagnosis of lung cancer.

Indexed as

biomarkersdiagnosisearly stagelung cancerplasma

Identifiers

PMID29872497
PMCPMC5973873
OpenAlexW2905923703

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.