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Axel Muendlein

Publications and source records attributed to Axel Muendlein.

2 recordsLinked to original sources

Estrogen-metabolizing gene polymorphisms in the assessment of breast carcinoma risk and fibroadenoma risk in Caucasian women.

BACKGROUND: Genes encoding enzymes involved in estrogen metabolism are held to be candidate genes for associations with breast disease. In these candidate genes, no critical combination of single-nucleotide polymorphisms (SNPs) for assessing breast carcinoma risk has been reported to date. METHODS: In a large case-control study, the authors investigated 10 estrogen-metabolizing SNPs in 396 patients with breast carcinoma, 154 patients with fibroadenoma, and 1936 healthy control patients without breast carcinoma in their personal history. The following 10 SNPs were analyzed using sequencing-on-chip technology via a solid-phase polymerase chain reaction assay performed on oligonucleotide microarrays: catechol-O-methyltransferase Val158Met G-->A, 17-beta-hydroxysteroid dehydrogenase type 1 vIV A-->C, cytochrome P-450 (CYP) family 17 A2 allele T-->C, CYP1A1-1 MspI restriction fragment length polymorphism (RFLP) T-->C, CYP1A1-2 Ile462Val A-->G, CYP19-1 Trp39Arg T-->C, CYP19-2 Arg264Cys C-->T, CYP19-3 Cys1558Thr C-->T, steroid-5-alpha reductase type 2 Val89Leu G-->C, and vitamin D receptor BsmI RFLP. A total of 21,350 genotypes were evaluated. Associations and two-way interaction models were calculated using stepwise logistic regression. RESULTS: In a multiple model, CYP1A1-1 (P = 0.004) and CYP1A1-2 (P = 0.03) were found to be associated with significantly decreased and increased risks of breast carcinoma, respectively. When two-way interactions involving investigated SNPs were ascertained, no significant interactions among polymorphisms were noted. Comparison of patients with fibroadenoma with control patients revealed significantly increased and decreased risks of fibroadenoma when the mutant alleles of CYP17 (P = 0.02) and CYP1A1-1 (P = 0.04), respectively, were present. CONCLUSIONS: The authors obtained the first SNP data indicating that CYP17 and CYP1A1-1 play a role in the pathogenesis of fibroadenoma. Although the authors were not able to develop interaction models involving SNPs, they did provide evidence that CYP1A1 is a low-penetrance susceptibility gene with respect to breast carcinoma in a large series of Caucasian women.

Breast Neoplasms↗

DNA microarray-based analysis of single nucleotide polymorphisms may be useful for assessing the risks and benefits of hormone therapy.

OBJECTIVE: To determine what percentage of women can be given individualized counseling based on genetic information, as single nucleotide polymorphisms (SNPs) are associated with risks and benefits of estrogen therapy and hormone therapy such as thrombosis, myocardial infarction, breast cancer, and bone protection. DESIGN: Cross-sectional study. SETTING: Academic research institution. PATIENT(S): A consecutive series of 2,507 perimenopausal and postmenopausal women. INTERVENTION(S): Peripheral venous puncture and multiplex polymerase chain reaction on a microarray system. MAIN OUTCOME MEASURE(S): Analysis of 22 SNPs of 17 genes: AGTMet235Thr, APOECys112Arg, APOEArg158Cys, COMTVal158Met, CYP17-34T>C, CYP191558C>T, CYP19Arg264Cys, CYP1A16235T>C, CYP1A1Ile462Val, CYP1B1Leu432Val, CYP1B1Asn453Ser, HSD17B1-27A>C, ER-alphaIVS-401T>C, prothrombin20210G>A, factor V Leiden, eNOS-786T>C, eNOSGlu298Asp, MRSer810Leu, MTHFR677C>T, PAI 15G>4G, SRD5A2Val89Leu, and VDRb>B. RESULT(S): Among the women in the study, 66% had at least two homozygous mutant SNPs of interest. A thrombophilic disposition was found in 9.9% of women, and 23% of women had at least two SNPs associated with an increased risk of breast cancer (COMT, CYP17, CYP19, CYP1A1, and CYP1B1). The SNPs predisposing women to cardiovascular pathologies (e.g., APOE, AGT, eNOS, and PAI 1) were found in 12.3% of women. Carriage of SNPs predisposing to early postmenopausal bone loss and osteoporosis (ER-alpha and VDR) were found in 26.7% of women. CONCLUSION(S): These data suggest that the assessment of SNPs associated with risks and benefits of estrogen/hormone therapy may be a new means to individualize counseling about and prescription of estrogen/hormone therapy in up to 66% of women.

Breast Neoplasms↗