PURPOSE: The risk of local and regional relapse associated with each breast cancer molecular subtype was determined in a large cohort of patients with breast cancer. Subtype assignment was accomplished using a validated six-marker immunohistochemical panel applied to tissue microarrays. PATIENTS AND METHODS: Semiquantitative analysis of estrogen receptor (ER), progesterone receptor (PR), Ki-67, human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin (CK) 5/6 was performed on tissue microarrays constructed from 2,985 patients with early invasive breast cancer. Patients were classified into the following categories: luminal A, luminal B, luminal-HER2, HER2 enriched, basal-like, or triple-negative phenotype-nonbasal. Multivariable Cox analysis was used to determine the risk of local or regional relapse associated the intrinsic subtypes, adjusting for standard clinicopathologic factors. RESULTS: The intrinsic molecular subtype was successfully determined in 2,985 tumors. The median follow-up time was 12 years, and there have been a total of 325 local recurrences and 227 regional lymph node recurrences. Luminal A tumors (ER or PR positive, HER2 negative, Ki-67 < 1%) had the best prognosis and the lowest rate of local or regional relapse. For patients undergoing breast conservation, HER2-enriched and basal subtypes demonstrated an increased risk of regional recurrence, and this was statistically significant on multivariable analysis. After mastectomy, luminal B, luminal-HER2, HER2-enriched, and basal subtypes were all associated with an increased risk of local and regional relapse on multivariable analysis. CONCLUSION: Luminal A tumors are associated with a low risk of local or regional recurrence. Molecular subtyping of breast tumors using a six-marker immunohistochemical panel can identify patients at increased risk of local and regional recurrence.
PURPOSE: The risk of local and regional relapse associated with each breast cancer molecular subtype was determined in a large cohort of patients with breast cancer. Subtype assignment was accomplished using a validated six-marker immunohistochemical panel applied to tissue microarrays. PATIENTS AND METHODS: Semiquantitative analysis of estrogen receptor (ER), progesterone receptor (PR), Ki-67, humanepidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin (CK) 5/6 was performed on tissue microarrays constructed from 2,985 patients with early invasive breast cancer. Patients were classified into the following categories: luminal A, luminal B, luminal-HER2, HER2 enriched, basal-like, or triple-negative phenotype-nonbasal. Multivariable Cox analysis was used to determine the risk of local or regional relapse associated the intrinsic subtypes, adjusting for standard clinicopathologic factors. RESULTS: The intrinsic molecular subtype was successfully determined in 2,985 tumors. The median follow-up time was 12 years, and there have been a total of 325 local recurrences and 227 regional lymph node recurrences. Luminal A tumors (ER or PR positive, HER2 negative, Ki-67 < 1%) had the best prognosis and the lowest rate of local or regional relapse. For patients undergoing breast conservation, HER2-enriched and basal subtypes demonstrated an increased risk of regional recurrence, and this was statistically significant on multivariable analysis. After mastectomy, luminal B, luminal-HER2, HER2-enriched, and basal subtypes were all associated with an increased risk of local and regional relapse on multivariable analysis. CONCLUSION: Luminal A tumors are associated with a low risk of local or regional recurrence. Molecular subtyping of breast tumors using a six-marker immunohistochemical panel can identify patients at increased risk of local and regional recurrence.
Authors: Jing Li; Ana M Gonzalez-Angulo; Pamela K Allen; Tse K Yu; Wendy A Woodward; Naoto T Ueno; Anthony Lucci; Savitri Krishnamurthy; Yun Gong; Melissa L Bondy; Wei Yang; Jie S Willey; Massimo Cristofanilli; Vicente Valero; Thomas A Buchholz Journal: Oncologist Date: 2011-12-06
Authors: Xin Zhou; Alan K Meeker; Kepher H Makambi; Ourania Kosti; Bhaskar V S Kallakury; Mary K Sidawy; Christopher A Loffredo; Yun-Ling Zheng Journal: Carcinogenesis Date: 2011-11-09 Impact factor: 4.944
Authors: Meena S Moran; Stuart J Schnitt; Armando E Giuliano; Jay R Harris; Seema A Khan; Janet Horton; Suzanne Klimberg; Mariana Chavez-MacGregor; Gary Freedman; Nehmat Houssami; Peggy L Johnson; Monica Morrow Journal: Int J Radiat Oncol Biol Phys Date: 2014-03-01 Impact factor: 7.038
Authors: Nicholas K Howland; Teryn D Driver; Michael P Sedrak; Xianfeng Wen; Wenli Dong; Sandra Hatch; Mahmoud A Eltorky; Celia Chao Journal: J Surg Res Date: 2013-07-11 Impact factor: 2.192
Authors: Lindsay J Collin; Deirdre P Cronin-Fenton; Thomas P Ahern; Kristina B Christensen; Per Damkier; Stephen Hamilton-Dutoit; Anders Kjaersgaard; Kristina L Lauridsen; Rami Yacoub; Peer Christiansen; Henrik Toft Sørensen; Timothy L Lash Journal: Acta Oncol Date: 2018-10-23 Impact factor: 4.089