BMC Cancer (Sep 2012)

Genetic association with overall survival of taxane-treated lung cancer patients - a genome-wide association study in human lymphoblastoid cell lines followed by a clinical association study

  • Niu Nifang,
  • Schaid Daniel J,
  • Abo Ryan P,
  • Kalari Krishna,
  • Fridley Brooke L,
  • Feng Qiping,
  • Jenkins Gregory,
  • Batzler Anthony,
  • Brisbin Abra G,
  • Cunningham Julie M,
  • Li Liang,
  • Sun Zhifu,
  • Yang Ping,
  • Wang Liewei

DOI
https://doi.org/10.1186/1471-2407-12-422
Journal volume & issue
Vol. 12, no. 1
p. 422

Abstract

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Abstract Background Taxane is one of the first line treatments of lung cancer. In order to identify novel single nucleotide polymorphisms (SNPs) that might contribute to taxane response, we performed a genome-wide association study (GWAS) for two taxanes, paclitaxel and docetaxel, using 276 lymphoblastoid cell lines (LCLs), followed by genotyping of top candidate SNPs in 874 lung cancer patient samples treated with paclitaxel. Methods GWAS was performed using 1.3 million SNPs and taxane cytotoxicity IC50 values for 276 LCLs. The association of selected SNPs with overall survival in 76 small or 798 non-small cell lung cancer (SCLC, NSCLC) patients were analyzed by Cox regression model, followed by integrated SNP-microRNA-expression association analysis in LCLs and siRNA screening of candidate genes in SCLC (H196) and NSCLC (A549) cell lines. Results 147 and 180 SNPs were associated with paclitaxel or docetaxel IC50s with p-values -4 in the LCLs, respectively. Genotyping of 153 candidate SNPs in 874 lung cancer patient samples identified 8 SNPs (p-value PIP4K2A, CCT5, CMBL, EXO1, KMO and OPN3, genes within 200 kb up-/downstream of the 3 SNPs that were associated with SCLC overall survival (rs1778335, rs2662411 and rs7519667), significantly desensitized H196 to paclitaxel. SNPs rs2662411 and rs1778335 were associated with mRNA expression of CMBL or PIP4K2A through microRNA (miRNA) hsa-miR-584 or hsa-miR-1468. Conclusions GWAS in an LCL model system, joined with clinical translational and functional studies, might help us identify genetic variations associated with overall survival of lung cancer patients treated paclitaxel.

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