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dc.contributor.authorSparano, Joseph A.
dc.contributor.authorGray, Robert
dc.contributor.authorOktay, Maja H.
dc.contributor.authorEntenberg, David
dc.contributor.authorRohan, Thomas
dc.contributor.authorXue, Xiaonan
dc.contributor.authorDonovan, Michael
dc.contributor.authorPeterson, Michael
dc.contributor.authorShuber, Anthony
dc.contributor.authorHamilton, Douglas A.
dc.contributor.authorD’Alfonso, Timothy
dc.contributor.authorGoldstein, Lori J.
dc.contributor.authorGertler, Frank
dc.contributor.authorDavidson, Nancy E.
dc.contributor.authorCondeelis, John
dc.contributor.authorJones, Joan
dc.date.accessioned2018-07-19T20:09:46Z
dc.date.available2018-07-19T20:09:46Z
dc.date.issued2017-11
dc.identifier.issn2374-4677
dc.identifier.urihttp://hdl.handle.net/1721.1/117018
dc.description.abstractMetastasis is the primary cause of death in early-stage breast cancer. We evaluated the association between a metastasis biomarker, which we call "Tumor Microenviroment of Metastasis" (TMEM), and risk of recurrence. TMEM are microanatomic structures where invasive tumor cells are in direct contact with endothelial cells and macrophages, and which serve as intravasation sites for tumor cells into the circulation. We evaluated primary tumors from 600 patients with Stage I-III breast cancer treated with adjuvant chemotherapy in trial E2197 (NCT00003519), plus endocrine therapy for hormone receptor (HR)+ disease. TMEM were identified and enumerated using an analytically validated, fully automated digital pathology/image analysis method (MetaSite Breast™), hereafter referred to as MetaSite Score (MS). The objectives were to determine the association between MS and distant relapse free interval (DRFI) and relapse free interval (RFI). MS was not associated with tumor size or nodal status, and correlated poorly with Oncotype DX Recurrence Score (r = 0.29) in 297 patients with HR+/HER2- disease. Proportional hazards models revealed a significant positive association between continuous MS and DRFI (p = 0.001) and RFI (p = 0.00006) in HR+/HER2- disease in years 0-5, and by MS tertiles for DRFI (p = 0.04) and RFI (p = 0.01), but not after year 5 or in triple negative or HER2+ disease. Multivariate models in HR+/HER- disease including continuous MS, clinical covariates, and categorical Recurrence Score (<18, 18-30, > 30) showed MS is an independent predictor for 5-year RFI (p = 0.05). MetaSite Score provides prognostic information for early recurrence complementary to clinicopathologic features and Recurrence Score.en_US
dc.description.sponsorshipBreast Cancer Research Foundationen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/S41523-017-0043-5en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleA metastasis biomarker (MetaSite Breast™ Score) is associated with distant recurrence in hormone receptor-positive, HER2-negative early-stage breast canceren_US
dc.typeArticleen_US
dc.identifier.citationSparano, Joseph A., et al. “A Metastasis Biomarker (MetaSite Breast™ Score) Is Associated with Distant Recurrence in Hormone Receptor-Positive, HER2-Negative Early-Stage Breast Cancer.” Npj Breast Cancer, vol. 3, no. 1, Dec. 2017.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorGertler, Frank
dc.relation.journalnpj Breast Canceren_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-06-18T14:34:26Z
dspace.orderedauthorsSparano, Joseph A.; Gray, Robert; Oktay, Maja H.; Entenberg, David; Rohan, Thomas; Xue, Xiaonan; Donovan, Michael; Peterson, Michael; Shuber, Anthony; Hamilton, Douglas A.; D’Alfonso, Timothy; Goldstein, Lori J.; Gertler, Frank; Davidson, Nancy E.; Condeelis, John; Jones, Joanen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3214-4554
mit.licensePUBLISHER_CCen_US


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