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Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival.
Saha, Ashirbani; Harowicz, Michael R; Cain, Elizabeth Hope; Hall, Allison H; Hwang, Eun-Sil Shelley; Marks, Jeffrey R; Marcom, Paul Kelly; Mazurowski, Maciej A.
Afiliação
  • Saha A; Department of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA. ashirbani.saha@duke.edu.
  • Harowicz MR; Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA. ashirbani.saha@duke.edu.
  • Cain EH; Department of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA.
  • Hall AH; Department of Radiology, Duke University School of Medicine, Durham, NC, 27705, USA.
  • Hwang ES; Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
  • Marks JR; Department of Surgical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
  • Marcom PK; Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.
  • Mazurowski MA; Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA.
Breast Cancer Res Treat ; 172(1): 123-132, 2018 Nov.
Article em En | MEDLINE | ID: mdl-29992418
PURPOSE: The purpose of the study was to define quantitative measures of intra-tumor heterogeneity in breast cancer based on histopathology data gathered from multiple samples on individual patients and determine their association with distant recurrence-free survival (DRFS). METHODS: We collected data from 971 invasive breast cancers, from 1st January 2000 to 23rd March 2014, that underwent repeat tumor sampling at our institution. We defined and calculated 31 measures of intra-tumor heterogeneity including ER, PR, and HER2 immunohistochemistry (IHC), proliferation, EGFR IHC, grade, and histology. For each heterogeneity measure, Cox proportional hazards models were used to determine whether patients with heterogeneous disease had different distant recurrence-free survival (DRFS) than those with homogeneous disease. RESULTS: The presence of heterogeneity in ER percentage staining was prognostic of reduced DRFS with a hazard ratio of 4.26 (95% CI 2.22-8.18, p < 0.00002). It remained significant after controlling for the ER status itself (p < 0.00062) and for patients that had chemotherapy (p < 0.00032). Most of the heterogeneity measures did not show any association with DRFS despite the considerable sample size. CONCLUSIONS: Intra-tumor heterogeneity of ER receptor status may be a predictor of patient DRFS. Histopathologic data from multiple tissue samples may offer a view of tumor heterogeneity and assess recurrence risk.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article