Evidence map›Paper›PMID 23870182›Full record

ReviewBMC medicine2013

Bridging the clinical gaps: genetic, epigenetic and transcriptomic biomarkers for the early detection of lung cancer in the post-National Lung Screening Trial era.

John F Brothers, Kahkeshan Hijazi, Celine Mascaux, Randa A El-Zein, Margaret R Spitz, Avrum Spira

Abstract readReview
In one paragraph

Review in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
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  6. Article
  7. [A Review of Epigenetic Modifications Regulate MicroRNA Expression in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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  15. Association between downexpression of MiR-203 and poor prognosis in non-small cell lung cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

John F BrothersBioinformatics Program, Boston University, Boston, MA, USA. jb2@bu.edu
Kahkeshan Hijazi
Celine Mascaux
Randa A El-Zein
Margaret R Spitz
Avrum Spira

Funding

The UCLA - Boston University Lung Cancer Biomarker Development LaboratoryU01CA152751 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M., ELASHOFF, DAVID · 2010 to 2015
$5.0M
NCI NIH HHS U01CA152751
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer death worldwide in part due to our inability to identify which smokers are at highest risk and the lack of effective tools to detect the disease at its earliest and potentially curable stage. Recent results from the National Lung Screening Trial have shown that annual screening of high-risk smokers with low-dose helical computed tomography of the chest can reduce lung cancer mortality. However, molecular biomarkers are needed to identify which current and former smokers would benefit most from annual computed tomography scan screening in order to reduce the costs and morbidity associated with this procedure. Additionally, there is an urgent clinical need to develop biomarkers that can distinguish benign from malignant lesions found on computed tomography of the chest given its very high false positive rate. This review highlights recent genetic, transcriptomic and epigenomic biomarkers that are emerging as tools for the early detection of lung cancer both in the diagnostic and screening setting.

Indexed as

Early DiagnosisEpigenesis, GeneticGene Expression ProfilingGenetic MarkersGenome-Wide Association StudyHumansLung NeoplasmsMass ScreeningRisk FactorsGenetic Markers

Identifiers

PMID23870182
PMCPMC3717087

What OpenQuestion holds

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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.