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A prognostic DNA methylation signature for stage I non-small-cell lung cancer
- Source :
- Dipòsit Digital de la UB, Universidad de Barcelona, Scopus-Elsevier, JOURNAL OF CLINICAL ONCOLOGY, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, instname, Journal of Clinical Oncology; Vol 31, Recercat. Dipósit de la Recerca de Catalunya, Journal of Clinical Oncology
- Publication Year :
- 2013
-
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.
- Subjects :
- Oncology
Male
Cancer Research
Lung Neoplasms
Microarray
ADN
Kaplan-Meier Estimate
Bioinformatics
0302 clinical medicine
Carcinoma, Non-Small-Cell Lung
Medicine
Cluster Analysis
Oligonucleotide Array Sequence Analysis
Aged, 80 and over
0303 health sciences
Hazard ratio
Methylation
Middle Aged
Prognosis
3. Good health
Gene Expression Regulation, Neoplastic
CpG site
030220 oncology & carcinogenesis
Cohort
DNA methylation
Female
Lung cancer
Metilació
Adult
medicine.medical_specialty
Disease-Free Survival
03 medical and health sciences
Internal medicine
Biomarkers, Tumor
Humans
030304 developmental biology
Aged
Neoplasm Staging
Proportional Hazards Models
business.industry
Proportional hazards model
DNA
DNA Methylation
medicine.disease
Càncer de pulmó
CpG Islands
business
Transcriptome
Subjects
Details
- ISSN :
- 15277755 and 0732183X
- Volume :
- 31
- Issue :
- 32
- Database :
- OpenAIRE
- Journal :
- Journal of clinical oncology : official journal of the American Society of Clinical Oncology
- Accession number :
- edsair.doi.dedup.....fdb251918ac03bea1d6708b239694237