Evidence map›Paper›PMID 29467585›Full record

ArticleBiomarkers in cancer2018

Integrating Circulating Immunological and Sputum Biomarkers for the Early Detection of Lung Cancer.

Jian Su, Qixin Leng, Yanli Lin, Jie Ma, Fangran Jiang, Cheng-Ju Lee, HongBin Fang, Feng Jiang

Open access · diamondAbstract read
In one paragraph

Article in Biomarkers in cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Microbiota Biomarkers for Lung Cancer.Diagnostics (Basel, Switzerland) · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Multidimensional communication of microRNAs and long non-coding RNAs in lung cancer.Journal of cancer research and clinical oncology · 2019
    Review
  9. 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

8 authors at 1 institution in 1 country.

Jian SuDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Qixin LengDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Yanli LinDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Jie MaDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Fangran JiangDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Cheng-Ju LeeDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
HongBin FangDepartment 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

We have demonstrated that assessments of microRNA (miRNA) expressions in circulating peripheral blood mononucleated cell (PBMC) and sputum specimens, respectively, may help diagnose lung cancer. To assess the individual and combined analysis of the miRNAs across the different body fluids for lung cancer early detection, we analyse a panel of 3 sputum miRNAs (miRs-21, 31, and 210) and a panel of 2 PBMC miRNAs (miRs-19b-3p and 29b-3p) in a discovery cohort of 68 patients with lung cancer and 66 cancer-free smokers. We find that integrating 2 sputum miRNAs (miRs-31 and 210) and 1 PBMC miRNA (miR-19b-3p) has higher sensitivity (86.8%) and specificity (92.4%) compared with the individual panels. The synergistic value of the integrated panel of 3 biomarkers is confirmed in a validation cohort, independent of stage and histological type of lung cancer, and patients' age, sex, and ethnicity. Integrating circulating immunological and sputum biomarkers could improve the early detection of lung cancer.

Indexed as

biomarkersearly detectionLung cancer

Identifiers

PMID29467585
PMCPMC5815414
OpenAlexW2788740614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.