Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 262

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

A Genome-Wide Screen for Promoter Methylation in Lung Cancer Identifies Novel Methylation Markers for Multiple Malignancies

Open access
Shames, David S, Girard, Luc, Gao, Boning, Sato, Mitsuo, Lewis, Cheryl M, Shivapurkar, Narayan, Jiang, Aixiang, Perou, Charles M, Kim, Young H, Pollack, Jonathan R, Fong, Kwun M, Lam, Chi-Leung, Wong, Maria, Shyr, Yu, Nanda, Rita, Olopade, Olufunmilayo I, Gerald, William, Euhus, David M, Shay, Jerry W, Gazdar, Adi F, Minna, John D·2006·PLoS Medicine

Abstract

BACKGROUND: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The "rules" governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor type-specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype would identify pathways important as therapeutic targets. METHODS AND FINDINGS: In an effort to identify new cancer-specific methylation markers, we employed a high-throughput global expression profiling approach in lung cancer cells. We identified 132 genes that have 5' CpG islands, are induced from undetectable levels by 5-aza-2'-deoxycytidine in multiple non-small cell lung cancer cell lines, and are expressed in immortalized human bronchial epithelial cells. As expected, these genes were also expressed in normal lung, but often not in companion primary lung cancers. Methylation analysis of a subset (45/132) of these promoter regions in primary lung cancer (n = 20) and adjacent nonmalignant tissue (n = 20) showed that 31 genes had acquired methylation in the tumors, but did not show methylation in normal lung or peripheral blood cells. We studied the eight most frequently and specifically methylated genes from our lung cancer dataset in breast cancer (n = 37), colon cancer (n = 24), and prostate cancer (n = 24) along with counterpart nonmalignant tissues. We found that seven loci were frequently methylated in both breast and lung cancers, with four showing extensive methylation in all four epithelial tumors. CONCLUSIONS: By using a systematic biological screen we identified multiple genes that are methylated with high penetrance in primary lung, breast, colon, and prostate cancers. The cross-tumor methylation pattern we observed for these novel markers suggests that we have identified a partial promoter hypermethylation signature for these common malignancies. These data suggest that while tumors in different tissues vary substantially with respect to gene expression, there may be commonalities in their promoter methylation profiles that represent targets for early detection screening or therapeutic intervention.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pmed.0030486

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 63 references

Cited by

See all 262

Metadata

Authors
Shames, D. S., Girard, L., Gao, B., Sato, M., Lewis, C. M., Shivapurkar, N., Jiang, A., Perou, C. M., Kim, Y. H., Pollack, J. R., Fong, K. M., Lam, C.-L., Wong, M., Shyr, Y., Nanda, R., Olopade, O. I., Gerald, W., Euhus, D. M., Shay, J. W., Gazdar, A. F., & Minna, J. D.
Venue
PLoS Medicine
Published
2006-12-26
Volume
3
Issue
12
Pages
e486
ISSN
  • 1549-1277 (ISSN-L)
  • 1549-1676
OpenAlex
W2065949767
Cited by
262
References
63
FWCI
6.51
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Genome-Wide Screen for Promoter Methylation in Lung Cancer Identifies Novel Methylation Markers for Multiple Malignancies. https://app.cochat.ai/papers/10.1371/journal.pmed.0030486
The paper
Shames, D. S., Girard, L., Gao, B., Sato, M., Lewis, C. M., Shivapurkar, N., Jiang, A., Perou, C. M., Kim, Y. H., Pollack, J. R., Fong, K. M., Lam, C.-L., Wong, M., Shyr, Y., Nanda, R., Olopade, O. I., Gerald, W., Euhus, D. M., Shay, J. W., . . . Minna, J. D. (2006). A Genome-Wide Screen for Promoter Methylation in Lung Cancer Identifies Novel Methylation Markers for Multiple Malignancies. PLoS Medicine. https://doi.org/10.1371/journal.pmed.0030486

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.