Multiplexed methylation profiles of tumor suppressor genes and clinical outcome in lung cancer

被引:108
作者
Castro, Monica [2 ]
Grau, Laura [1 ]
Puerta, Patricia [1 ]
Gimenez, Liliana [2 ]
Venditti, Julio [3 ]
Quadrelli, Silvia [3 ]
Sanchez-Carbayo, Marta [1 ]
机构
[1] Spanish Natl Canc Ctr, Mol Pathol Program, Tumor Markers Grp, Madrid, Spain
[2] Inst Angel H Roffo, Dept Oncol, Buenos Aires, DF, Argentina
[3] Hosp Britanico, Dept Oncol, Buenos Aires, DF, Argentina
关键词
NONSMALL CELL LUNG; DEPENDENT PROBE AMPLIFICATION; ABERRANT PROMOTER METHYLATION; CPG-ISLAND METHYLATION; DNA METHYLATION; RUNX3; GENE; MS-MLPA; HYPERMETHYLATION; ASSOCIATION; EXPRESSION;
D O I
10.1186/1479-5876-8-86
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: Changes in DNA methylation of crucial cancer genes including tumor suppressors can occur early in carcinogenesis, being potentially important early indicators of cancer. The objective of this study was to examine a multiplexed approach to assess the methylation of tumor suppressor genes as tumor stratification and clinical outcome prognostic biomarkers for lung cancer. Methods: A multicandidate probe panel interrogated DNA for aberrant methylation status in 18 tumor suppressor genes in lung cancer using a methylation-specific multiplex ligation-dependent probe amplification assay (MS-MLPA). Lung cancer cell lines (n = 7), and primary lung tumors (n = 54) were examined using MS-MLPA. Results: Genes frequently methylated in lung cancer cell lines including SCGB3A1, ID4, CCND2 were found among the most commonly methylated in the lung tumors analyzed. HLTF, BNIP3, H2AFX, CACNA1G, TGIF, ID4 and CACNA1A were identified as novel tumor suppressor candidates methylated in lung tumors. The most frequently methylated genes in lung tumors were SCGB3A1 and DLC1 (both 50.0%). Methylation rates for ID4, DCL1, BNIP3, H2AFX, CACNA1G and TIMP3 were significantly different between squamous and adenocarcinomas. Methylation of RUNX3, SCGB3A1, SFRP4, and DLC1 was significantly associated with the extent of the disease when comparing localized versus metastatic tumors. Moreover, methylation of HTLF, SFRP5 and TIMP3 were significantly associated with overall survival. Conclusions: MS-MLPA can be used for classification of certain types of lung tumors and clinical outcome prediction. This latter is clinically relevant by offering an adjunct strategy for the clinical management of lung cancer patients.
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页数:11
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