Literature DB >> 22903472

Analysis of functional germline polymorphisms for prediction of response to anthracycline-based neoadjuvant chemotherapy in breast cancer.

Joanna Szkandera1, Gudrun Absenger, Nadia Dandachi, Peter Regitnig, Sigurd Lax, Michael Stotz, Hellmut Samonigg, Wilfried Renner, Armin Gerger.   

Abstract

To elucidate the role of predictive factors on individual's drug response, based on genetic variation, we examined the association between eight germline polymorphisms in genes involved in protection against oxidative stress, apoptosis, oncogenic transformation, proliferation, immune response and DNA repair (TP53, NQO1, IL6, TLR4 and XRCC1) and the pathological response to anthracycline-based neoadjuvant chemotherapy in 70 patients with breast cancer. The DNA was genotyped for eight polymorphisms in five genes (TP53, NQO1, IL6, TLR4 and XRCC1) by 5'-exonuclease (TaqMan™) technology. Fisher's exact test was used to evaluate the association between genotype, clinicopathological parameters and pathological response. A good pathological response, defined as a pathological complete response or residual isolated invasive tumor cells, was found significantly more frequently for estrogen (ER) and progesterone receptor (PR) negative breast carcinomas compared to ER and PR positive and ER or PR positive carcinomas, respectively (43.5 vs. 37.5 and 10.3 %, p = 0.006), and was significantly associated with high tumor grade (G3) (p = 0.002). A non-significant trend towards a good pathological response was shown in patients carrying the Arg/Arg or Arg/Pro TP53 codon 72 gene variant compared to those harboring the Pro/Pro variant (17.6 or 37.9 % vs. 0; p = 0.071). No association was found between NQO1 Pro187Ser, IL6 -174G>C, TLR4 Asp299Gly and Thr399Ile, and XRCC1 Arg194Trp, Arg399Gln and Arg280His and pathological response. The present study shows hormone receptor status and tumor grade as predictors for pathological response to neoadjuvant anthracycline-based chemotherapy. Among various functional germline polymorphisms, a potential predictive value was only found for the TP53 Arg72Pro gene variant.

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Year:  2012        PMID: 22903472     DOI: 10.1007/s00438-012-0715-7

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  50 in total

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Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

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2.  Clinical significance of TP53 (R72P) and MDM2 (T309G) polymorphisms in breast cancer patients.

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3.  Pharmacogenomic characterization of gemcitabine response--a framework for data integration to enable personalized medicine.

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4.  Possible roles of genetic variations in chemotherapy related cardiotoxicity in pediatric acute lymphoblastic leukemia and osteosarcoma.

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5.  Genotype and Haplotype Analyses of TP53 Gene in Breast Cancer Patients: Association with Risk and Clinical Outcomes.

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