Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 278

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

A Prognostic DNA Methylation Signature for Stage I Non–Small-Cell Lung Cancer

Open access
Sandoval, Juan, Mendez-Gonzalez, Jesus, Nadal, Ernest, Chen, Guoan, Carmona, F. Javier, Sayols, Sergi, Moran, Sebastian, Heyn, Holger, Vizoso, Miguel, Gomez, Antonio, Sanchez-Cespedes, Montse, Assenov, Yassen, Müller, Fabian, Bock, Christoph, Taron, Miquel, Mora, Josefina, Muscarella, Lucia A., Liloglou, Triantafillos, Davies, Michael, Pollan, Marina, Pajares, Maria J., Torre, Wenceslao, Montuenga, Luis M., Brambilla, Elisabeth, Field, John K., Roz, Luca, Lo Iacono, Marco, Scagliotti, Giorgio V., Rosell, Rafael, Beer, David G., Esteller, Manel·2013·Journal of Clinical Oncology

Abstract

Purpose: Non–small-cell lung cancer (NSCLC) is a tumor in which only small improvements in clinical outcome have been achieved. The issue is critical for stage I patients for whom there are no available biomarkers that indicate which high-risk patients should receive adjuvant chemotherapy. We aimed to find DNA methylation markers that could be helpful in this regard. Patients and Methods: A DNA methylation microarray that analyzes 450,000 CpG sites was used to study tumoral DNA obtained from 444 patients with NSCLC that included 237 stage I tumors. The prognostic DNA methylation markers were validated by a single-methylation pyrosequencing assay in an independent cohort of 143 patients with stage I NSCLC. Results: Unsupervised clustering of the 10,000 most variable DNA methylation sites in the discovery cohort identified patients with high-risk stage I NSCLC who had shorter relapse-free survival (RFS; hazard ratio [HR], 2.35; 95% CI, 1.29 to 4.28; P = .004). The study in the validation cohort of the significant methylated sites from the discovery cohort found that hypermethylation of five genes was significantly associated with shorter RFS in stage I NSCLC: HIST1H4F, PCDHGB6, NPBWR1, ALX1, and HOXA9. A signature based on the number of hypermethylated events distinguished patients with high- and low-risk stage I NSCLC (HR, 3.24; 95% CI, 1.61 to 6.54; P = .001). Conclusion: The DNA methylation signature of NSCLC affects the outcome of stage I patients, and it can be practically determined by user-friendly polymerase chain reaction assays. The analysis of the best DNA methylation biomarkers improved prognostic accuracy beyond standard staging.

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 · 10.1200/jco.2012.48.5516

Cites

41 of 41 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

Show all 41 references

Cited by

See all 278

Metadata

Authors
Sandoval, J., Mendez-Gonzalez, J., Nadal, E., Chen, G., Carmona, F. J., Sayols, S., Moran, S., Heyn, H., Vizoso, M., Gomez, A., Sanchez-Cespedes, M., Assenov, Y., Müller, F., Bock, C., Taron, M., Mora, J., Muscarella, L. A., Liloglou, T., Davies, M., Pollan, M., Pajares, M. J., Torre, W., Montuenga, L. M., Brambilla, E., Field, J. K., Roz, L., Lo Iacono, M., Scagliotti, G. V., Rosell, R., Beer, D. G., & Esteller, M.
Venue
Journal of Clinical Oncology
Published
2013-11-10
Volume
31
Issue
32
Pages
4140-4147
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W1997434130
Cited by
278
References
41
FWCI
12.24
Type
journal article
Language
en
Open access
bronze

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 Prognostic DNA Methylation Signature for Stage I Non–Small-Cell Lung Cancer. https://app.cochat.ai/papers/10.1200/jco.2012.48.5516
The paper
Sandoval, J., Mendez-Gonzalez, J., Nadal, E., Chen, G., Carmona, F. J., Sayols, S., Moran, S., Heyn, H., Vizoso, M., Gomez, A., Sanchez-Cespedes, M., Assenov, Y., Müller, F., Bock, C., Taron, M., Mora, J., Muscarella, L. A., Liloglou, T., Davies, M., . . . Esteller, M. (2013). A Prognostic DNA Methylation Signature for Stage I Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2012.48.5516

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.