Evidence map›Paper›PMID 18446232›Full record

ArticlePloS one2008

Identification of novel tumor markers in prostate, colon and breast cancer by unbiased methylation profiling.

Woonbok Chung, Bernard Kwabi-Addo, Michael Ittmann, Jaroslav Jelinek, Lanlan Shen, Yinhua Yu, Jean-Pierre J Issa

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Testican-2 (SPOCK2): A multifunctional matricellular regulator.Matrix biology : journal of the International Society for Matrix Biology · 2026
    Review
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  13. Observational
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  16. Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
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  18. Article
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Woonbok ChungDepartment of Leukemia, Baylor College of Medicine, Houston, Texas, United States of America.
Bernard Kwabi-Addo
Michael Ittmann
Jaroslav Jelinek
Lanlan Shen
Yinhua Yu
Jean-Pierre J Issa
Baylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · US

Funding

University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUANG, XUELIN · 2003 to 2023
$43.7M
DNA Methylation in Colon Cancer MetastasisR01CA098006 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ISSA, JEAN-PIERRE J. · 2004 to 2008
$1.4M
NCI NIH HHS CA098006NCI NIH HHS CA100632NCI NIH HHS P50 CA100632NCI NIH HHS R01 CA098006
6 · The paper itself

Abstract

DNA hypermethylation is a common epigenetic abnormality in cancer and may serve as a useful marker to clone cancer-related genes as well as a marker of clinical disease activity. To identify CpG islands methylated in prostate cancer, we used methylated CpG island amplification (MCA) coupled with representational difference analysis (RDA) on prostate cancer cell lines. We isolated 34 clones that corresponded to promoter CpG islands, including 5 reported targets of hypermethylation in cancer. We confirmed the data for 17 CpG islands by COBRA and/or pyrosequencing. All 17 genes were methylated in at least 2 cell lines of a 21-cancer cell line panel containing prostate cancer, colon cancer, leukemia, and breast cancer. Based on methylation in primary tumors compared to normal adjacent tissues, NKX2-5, CLSTN1, SPOCK2, SLC16A12, DPYS and NSE1 are candidate biomarkers for prostate cancer (methylation range 50%-85%). The combination of NSE1 or SPOCK2 hypermethylation showed a sensitivity of 80% and specificity of 95% in differentiating cancer from normal. Similarly NKX2-5, SPOCK2, SLC16A12, DPYS and GALR2 are candidate biomarkers for colon cancer (methylation range 60%-95%) and GALR2 hypermethylation showed a sensitivity of 85% and specificity of 95%. Finally, SLC16A12, GALR2, TOX, SPOCK2, EGFR5 and DPYS are candidate biomarkers for breast cancer (methylation range 33%-79%) with the combination of EGFR5 or TOX hypermethylation showing a sensitivity of 92% and specificity of 92%. Expression analysis for eight genes that had the most hypermethylation confirmed the methylation associated silencing and reactivation with 5-aza-2'-deoxycytidine treatment. Our data identify new targets of transcriptional silencing in cancer, and provide new biomarkers that could be useful in screening for prostate cancer and other cancers.

Indexed as

DNA MethylationBiasBiomarkers, TumorBreast NeoplasmsCell Line, TumorClone CellsColonic NeoplasmsCpG IslandsFemaleGene Expression Regulation, NeoplasticGene SilencingGenes, NeoplasmHumansMaleNeoplasmsPromoter Regions, GeneticBiomarkers, Tumor

Identifiers

PMID18446232
PMCPMC2323612
OpenAlexW2085207827

What OpenQuestion holds

Textmetadata
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.