PURPOSE: The biology of tumors relapsing to bone is poorly understood. In this study, we initiated a search for genes that are implicated in tumors relapsing to bone in breast cancer. PATIENTS AND METHODS: We analyzed 107 primary breast tumors in patients who were all lymph node negative at the time of diagnosis and all had experienced relapse. Total RNA isolated from frozen tumor samples was used to gather gene expression data using oligo microarrays. RESULTS: A panel of 69 genes was found significantly differentially expressed between patients who experienced relapse to bone versus those who experienced relapse elsewhere in the body. The most differentially expressed gene, TFF1, was confirmed by quantitative reverse transcriptase polymerase chain reaction in an independent cohort (n = 122; P = .0015). Our differentially expressed genes, combined with a recently reported gene set relevant to tumors relapsing to bone in an animal model system, pointed to the involvement of the fibroblast growth factor receptor signaling pathway in preference of tumor cells that relapse to bone. Given that patients who experience relapse to bone may benefit from bisphosphonate therapy, we developed a classifier of 31 genes, which in an independent validation set correctly predicts all tumors relapsing to bone with a specificity of 50%. CONCLUSION: Our study identifies a panel of genes relevant to bone metastasis in breast cancer. The subsequently developed classifier of tumors relapsing to bone could, after thorough confirmation on an extended number of independent samples, and in combination with our previously developed high-risk profile, provide a diagnostic tool for the recommendation of adjuvant bisphosphonate therapy in addition to endocrine therapy or chemotherapy.
PURPOSE: The biology of tumors relapsing to bone is poorly understood. In this study, we initiated a search for genes that are implicated in tumors relapsing to bone in breast cancer. PATIENTS AND METHODS: We analyzed 107 primary breast tumors in patients who were all lymph node negative at the time of diagnosis and all had experienced relapse. Total RNA isolated from frozen tumor samples was used to gather gene expression data using oligo microarrays. RESULTS: A panel of 69 genes was found significantly differentially expressed between patients who experienced relapse to bone versus those who experienced relapse elsewhere in the body. The most differentially expressed gene, TFF1, was confirmed by quantitative reverse transcriptase polymerase chain reaction in an independent cohort (n = 122; P = .0015). Our differentially expressed genes, combined with a recently reported gene set relevant to tumors relapsing to bone in an animal model system, pointed to the involvement of the fibroblast growth factor receptor signaling pathway in preference of tumor cells that relapse to bone. Given that patients who experience relapse to bone may benefit from bisphosphonate therapy, we developed a classifier of 31 genes, which in an independent validation set correctly predicts all tumors relapsing to bone with a specificity of 50%. CONCLUSION: Our study identifies a panel of genes relevant to bone metastasis in breast cancer. The subsequently developed classifier of tumors relapsing to bone could, after thorough confirmation on an extended number of independent samples, and in combination with our previously developed high-risk profile, provide a diagnostic tool for the recommendation of adjuvant bisphosphonate therapy in addition to endocrine therapy or chemotherapy.
Authors: Miriam S Udler; Shahana Ahmed; Catherine S Healey; Kerstin Meyer; Jeffrey Struewing; Melanie Maranian; Erika M Kwon; Jinghui Zhang; Jonathan Tyrer; Eric Karlins; Radka Platte; Bolot Kalmyrzaev; Ed Dicks; Helen Field; Ana-Teresa Maia; Radhika Prathalingam; Andrew Teschendorff; Stewart McArthur; David R Doody; Robert Luben; Carlos Caldas; Leslie Bernstein; Laurence K Kolonel; Brian E Henderson; Anna H Wu; Loic Le Marchand; Giske Ursin; Michael F Press; Annika Lindblom; Sara Margolin; Chen-Yang Shen; Show-Lin Yang; Chia-Ni Hsiung; Daehee Kang; Keun-Young Yoo; Dong-Young Noh; Sei-Hyun Ahn; Kathleen E Malone; Christopher A Haiman; Paul D Pharoah; Bruce A J Ponder; Elaine A Ostrander; Douglas F Easton; Alison M Dunning Journal: Hum Mol Genet Date: 2010-03-23 Impact factor: 6.150
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