Evidence map›Paper›PMID 21543799›Full record

ReviewProceedings of the American Thoracic Society2011

Advances in proteomic strategies toward the early detection of lung cancer.

Mohamed Hassanein, Jamshedur S M Rahman, Pierre Chaurand, Pierre P Massion

Abstract readReview
In one paragraph

Review in Proceedings of the American Thoracic Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Guideline
  2. Review
  3. [Role and Significance of Bioactive Substances in Sputum
 in the Diagnosis of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    Review
  4. Article
  5. The Airway Transcriptome as a Biomarker for Early Lung Cancer Detection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Review
  6. Normalization of mass spectrometry data (NOMAD).Advances in biological regulation · 2018
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. The expression and function of microRNA-203 in lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
  13. The state of molecular biomarkers for the early detection of lung cancer.Cancer prevention research (Philadelphia, Pa.) · 2012
    Review
  14. [Proteome profiling for the identification of lung cancer signatures].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2012
    Article
  15. Article
  16. Article
  17. 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.

Mohamed HassaneinVanderbilt University Medical Center Vanderbilt-Ingram Cancer Center, Nashville, TN 37232-6838, USA.
Jamshedur S M Rahman
Pierre Chaurand
Pierre P Massion

Funding

Molecular Approaches to Early Detection of Lung CancerR01CA102353 · NCI · VANDERBILT UNIVERSITY · PI MASSION, PIERRE P. · 2005 to 2014
$2.4M
NCI NIH HHS CA102353
6 · The paper itself

Abstract

Since the advent of the new proteomics era more than a decade ago, large-scale studies of protein profiling have been exploited to identify the distinctive molecular signatures in a wide array of biological systems spanning areas of basic biological research, various disease states, and biomarker discovery directed toward therapeutic applications. Recent advances in protein separation and identification techniques have significantly improved proteomics approaches, leading to enhancement of the depth and breadth of proteome coverage. Proteomic signatures specific for invasive lung cancer and preinvasive lesions have begun to emerge. In this review we provide a critical assessment of the state of recent advances in proteomic approaches and the biological lessons they have yielded, with specific emphasis on the discovery of biomarker signatures for the early detection of lung cancer.

Indexed as

Early Detection of CancerProteomicsBiomarkers, TumorDisease ProgressionHumansLung NeoplasmsPrecancerous ConditionsRisk AssessmentSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID21543799
PMCPMC3131837

What OpenQuestion holds

Textmetadata
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.