Evidence map›Paper›PMID 24486589›Full record

SynthesisClinical cancer research : an official journal of the American Association for Cancer Research2014

Functional identification of cancer-specific methylation of CDO1, HOXA9, and TAC1 for the diagnosis of lung cancer.

John Wrangle, Emi Ota Machida, Ludmila Danilova, Alicia Hulbert, Noreli Franco, Wei Zhang, Sabine C Glöckner, Mathewos Tessema, Leander Van Neste, Hariharan Easwaran and 9 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical cancer research : an official journal of the American Association for Cancer Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–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

56 citing papers in PubMed.

  1. Trial
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  12. Current Evidence for a Lung Cancer Screening Program.Portuguese journal of public health · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Multiplex Digital Methylation-Specific PCR for Noninvasive Screening of Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  19. Review
  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

19 authors.

John WrangleAuthors' Affiliations: The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland; Department of Molecular Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium; MDxHealth Inc, Irvine, California; Shinshu University School of Medicine, Asahi, Matsumoto, Nagano, Japan; and Lovelace Respiratory Research Institute, Albuquerque, New Mexico.
Emi Ota Machida
Ludmila Danilova
Alicia Hulbert
Noreli Franco
Wei Zhang
Sabine C Glöckner
Mathewos Tessema
Leander Van Neste
Hariharan Easwaran
Kornel E Schuebel
Julien Licchesi
Craig M Hooker
Nita Ahuja
Jun Amano
Steven A Belinsky
Stephen B Baylin
James G Herman
Malcolm V Brock

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
TARGETING EARLY CHANGES FOR NEW SCREENING STRATEGIESP50CA058184 · NCI · JOHNS HOPKINS UNIVERSITY · PI BISWAL, SHYAM · 1992 to 2013
$30.5M
NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA058184
6 · The paper itself

Abstract

purposeNon-small cell lung cancer (NSCLC) is the leading cause of cancer mortality in the world. Novel diagnostic biomarkers may augment both existing NSCLC screening methods as well as molecular diagnostic tests of surgical specimens to more accurately stratify and stage candidates for adjuvant chemotherapy. Hypermethylation of CpG islands is a common and important alteration in the transition from normal tissue to cancer. EXPERIMENTAL

designFollowing previously validated methods for the discovery of cancer-specific hypermethylation changes, we treated eight NSCLC cell lines with the hypomethylating agent deoxyazacitidine or trichostatin A. We validated the findings using a large publicly available database and two independent cohorts of primary samples.

resultsWe identified >300 candidate genes. Using The Cancer Genome Atlas (TCGA) and extensive filtering to refine our candidate genes for the greatest ability to distinguish tumor from normal, we define a three-gene panel, CDO1, HOXA9, and TAC1, which we subsequently validate in two independent cohorts of primary NSCLC samples. This three-gene panel is 100% specific, showing no methylation in 75 TCGA normal and seven primary normal samples and is 83% to 99% sensitive for NSCLC depending on the cohort.

conclusionThis degree of sensitivity and specificity may be of high value to diagnose the earliest stages of NSCLC. Addition of this three-gene panel to other previously validated methylation biomarkers holds great promise in both early diagnosis and molecular staging of NSCLC.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCpG IslandsCysteine DioxygenaseDNA MethylationFemaleHomeodomain ProteinsHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingProportional Hazards ModelsTachykininsBiomarkers, TumorCDO1 protein, humanCysteine Dioxygenasehomeobox protein HOXA9Homeodomain ProteinsTachykinins

Identifiers

PMID24486589
PMCPMC4019442

What OpenQuestion holds

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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.