Evidence map›Paper›PMID 12154407›Full record

ReviewOncogene2002

DNA methylation analysis: a powerful new tool for lung cancer diagnosis.

Jeffrey A Tsou, Jeffrey A Hagen, Catherine L Carpenter, Ite A Laird-Offringa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Identification and validation ofOncology letters · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Multiplex Digital Methylation-Specific PCR for Noninvasive Screening of Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Lung Cancer Stage Prediction Using Multi-Omics Data.Computational and mathematical methods in medicine · 2022
    Article

31 more citing papers are in PubMed but not listed here.

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.

Jeffrey A TsouDepartment of Biochemistry, University of Southern California, School of Medicine, Norris Comprehensive Cancer Center, NOR 6420, 1441 Eastlake Ave, Los Angeles, California, CA 90089-9176, USA.
Jeffrey A Hagen
Catherine L Carpenter
Ite A Laird-Offringa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carcinoma of the lung is the most common cause of cancer death worldwide. The estimated 5-year survival ranges from 6-16%, depending on the cell type. The best opportunity for improving survival of lung cancer patients is through early detection, when curative surgical resection is possible. Although the subjects at increased risk for developing carcinoma of the lung (long-term smokers) can be identified, only 10-20% of this group will ultimately develop the disease. Screening tests of long-term smokers employed to date (radiography and sputum cytology) have not been successful in reducing lung cancer mortality. The application of molecular markers specific for lung cancer offers new possibilities for early detection. Hypermethylation of CpG islands in the promoter regions of genes is a common phenomenon in lung cancer, as demonstrated by the analysis of the methylation status of over 40 genes from lung cancer tumors, cell lines, patient sputum and/or serum. Determination of the methylation patterns of multiple genes to obtain complex DNA methylation signatures promises to provide a highly sensitive and specific tool for lung cancer diagnosis. When combined with the development of non-invasive methods to detect such signatures, this may provide a viable method to screen subjects at risk for lung cancer.

Indexed as

DNA MethylationBiomarkers, TumorCpG IslandsDNA, NeoplasmGene SilencingHumansLung NeoplasmsMass ScreeningPromoter Regions, GeneticRisk FactorsSensitivity and SpecificityBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID12154407

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.