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Significant association of combination of OCT4, NANOG,and SOX2 gene polymorphisms in susceptibility and response to treatment in North Indian breast cancer patients |
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| Authors: | Sonam Tulsyan Gaurav Agarwal Punita Lal Balraj Mittal |
| Affiliation: | 1. Department of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli road, Lucknow, 226 014, India 2. Department of Endocrine and Breast Surgery, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India 3. Department of Radiotherapy, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India |
| Abstract: | PurposeDysregulations of regulatory genes in embryonic stem cells (ESCs) gene polymorphisms may lead to breast cancer cell growth, differentiation, and tumor metastasis.MethodsPolymorphisms in OCT4 (rs3130932), NANOG (rs11055786), LIN28 (rs4274112), and SOX2 (rs11915160) genes were evaluated for susceptibility in 297 breast cancer females and 273 healthy controls from north Indian population. Response to neo-adjuvant chemotherapy was followed in 128 locally advanced breast cancer patients along with clinicopathological features. Genotyping was done using TaqMan allelic discrimination assays. Statistical analysis was performed using SPSS and multifactor dimensionality reduction (MDR).ResultsFor OCT4 gene polymorphism, protective effect of genotypes AC [P corr = 0.031, OR = 0.63 (0.44–0.91)] and AC+CC [P corr = 0.031, OR = 0.68 (0.48–0.95)] was seen in patients. However, no association of NANOG, LIN28, and SOX2 gene polymorphisms was found with overall breast cancer susceptibility. Further, significant association of AG+GG genotype [P corr = 0.021, OR = 6.08 (1.83–20.15)] and G allele [P corr = 0.021, OR = 3.07 (1.21–7.77)] of rs4274112 polymorphism was seen with positive lymph node. For OCT4, significant association of allele C was seen with patients having negative hormone receptor [P corr = 0.021, OR = 0.51 (0.29–0.90)], but no association of any of the studied polymorphisms individually was found with response to NACT. On MDR analysis, we found combination of SNPs SOX2 rs11915160, OCT4 rs3130932, and NANOG rs11055786 to be the best interaction model for predicting breast cancer risk [p for permutation test <10?3, OR = 2.04 (1.43–2.910] and response to NACT [p for permutation test = 0.005, OR = 2.09 (1.24–3.52)].ConclusionCombination of genetic variants of ESCs gene may have a profound effect in breast cancer risk and response to NACT. |
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