Mayo researchers identify genetic difference which causes AI induced joint pains!!!!

[Lani]

that is the first step to doing something about it. Actually, it was an international collaborative team...

If they can predict who will have the complication, maybe they can find effective alternatives for them or effective treatments to prevent it


1. Mayo Collaboration Finds Source of Breast Drug Side Effect
[The Mayo Clinic]

ROCHESTER, Minn. — Mayo Clinic researchers and their international colleagues have discovered genetic variants that lead to severe arthritis for a subset of women when taking aromatase inhibitors to treat their breast cancer. This serious side effect is so painful that many women halt their lifesaving medication. The findings appear today in the online issue of Journal of Clinical Oncology.

"Many women stop taking aromatase inhibitors due to the accompanying joint pain," says James Ingle, M.D. , Mayo Clinic oncologist and senior author of the study. "We used the latest genetic technology in a very large group of women and discovered totally new clues to the cause of the main reason women stop this potentially lifesaving drug. Our findings open the door to finding ways to identify women who will develop these side effects and treat those who do, thus allowing more women to take this therapy and decrease their chances of breast cancer recurrence." Aromatase inhibitors are most often used as adjuvant therapy for postmenopausal women with early stage breast cancer.

How the Research Was Conducted

The researchers — including investigators from the United States, Canada and Japan — conducted a genome-wide association study to identify gene variants called single nucleotide polymorphisms (SNPs) that are associated with musculoskeletal pain. They selected patients who were enrolled in a prospective clinical trial, MA27, conducted by the NCIC Clinical Trials Group in Canada in collaboration with the NCI-sponsored North American Breast Cancer Groups comparing two aromatase inhibitor drugs. Two controls were matched with each patient and each patient who was selected experienced arthritis-like side effects within the first two years of treatment, or had already dropped out of the trial because of the pain. Researchers studied 293 separate cases, comparing them to 585 controls.

They found four likely SNPs on chromosome 14, all of which were nearest the gene T-Cell Leukemia 1A, which they discovered also was estrogen dependent. One of the SNPs also created an estrogen response with increased gene expression after exposure to estradiol, a widely used post-menopausal treatment. The results provide researchers with genetic markers for the aromatase inhibitor-induced arthritis and clues to find ways to treat it.

Support for the study came from the National Institutes of Health (NIH), the Canadian Cancer Society, the Biobank Japan Project funded by the Ministry of Education, Culture, Sports, Science and Technology, and the Breast Cancer Research Foundation. Other support was provided by the NIH Pharmacogenomics Research Network and the RIKEN Center for Genomic Medicine Global Alliance. The trial mentioned in the study was supported in part by Pfizer, Inc.

Other researchers include Daniel Schaid, Ph.D., Gregory Jenkins, Anthony Batzler, Mohan Liu, Ph.D., Liewei Wang, M.D., Ph.D., Matthew Goetz, M.D., and Richard Weinshilboum, M.D., all of Mayo Clinic; Paul Goss, M.B., BCh, Ph.D. Massachusetts General Hospital Cancer Center, Harvard University; Taisei Mushiroda, Ph.D., Michiaki Kubo, M.D., Ph.D., and Yusuke Nakamura, M.D., Ph.D., RIKEN Center for Genomic Medicine, Tokyo; Judy-Anne Chapman, Ph.D., Lois Shepherd, M.D., and Joseph Pater, M.D., NCIC Clinical Trials Group, Kingston, Ontario; Matthew Ellis, M.B., B.Chir., Ph.D., Washington University, St. Louis; Vered Stearns, M.D., John Hopkins School of Medicine, Baltimore; Daniel Rohrer, M.D., Ohio State University Medical Center, Columbus; Kathleen Pritchard, M.D., Sunnybrook Odette Regional Cancer Centre, University of Toronto; and David Flockhart, M.D., Ph.D., Indiana University, Indianapolis.

2. EARLY VIEW: ABSTRACT: Genome-Wide Associations and Functional Genomic Studies of Musculoskeletal Adverse Events in Women Receiving Aromatase Inhibitors
[Journal of Clinical Oncology]

Purpose: We performed a case-control genome-wide association study (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with musculoskeletal adverse events (MS-AEs) in women treated with aromatase inhibitors (AIs) for early breast cancer.

Patients and Methods: A nested case-control design was used to select patients enrolled onto the MA.27 phase III trial comparing anastrozole with exemestane. Cases were matched to two controls and were defined as patients with grade 3 or 4 MS-AEs (according to the National Cancer Institute's Common Terminology Criteria for Adverse Events v3.0) or those who discontinued treatment for any grade of MS-AE within the first 2 years. Genotyping was performed with the Illumina Human610-Quad BeadChip.

Results: The GWAS included 293 cases and 585 controls. A total of 551,358 SNPs were analyzed, followed by imputation and fine mapping of a region of interest on chromosome 14. Four SNPs on chromosome 14 had the lowest P values (2.23E-06 to 6.67E-07). T-cell leukemia 1A (TCL1A) was the gene closest (926-7000 bp) to the four SNPs. Functional genomic studies revealed that one of these SNPs (rs11849538) created an estrogen response element and that TCL1A expression was estrogen dependent, was associated with the variant SNP genotypes in estradiol-treated lymphoblastoid cells transfected with estrogen receptor alpha and was directly related to interleukin 17 receptor A (IL17RA) expression.

Conclusion: This GWAS identified SNPs associated with MS-AEs in women treated with AIs and with a gene (TCL1A) which, in turn, was related to a cytokine (IL17). These findings provide a focus for further research to identify patients at risk for MS-AEs and to explore the mechanisms for these adverse events.