PURPOSE: In breast cancer, somatic mutations in the PIK3CA gene are common. The prognostic implication of these activating mutations remains uncertain as moderately sized studies have yielded variable outcomes. Our aim was to determine the prognostic implications of PIK3CA mutations in breast cancer. EXPERIMENTAL DESIGN: Archival formalin-fixed paraffin-embedded primary breast tumors, from 590 patients selected for known vital status with a median follow-up of 12.8 years and a tumor >1 cm, were genotyped for PIK3CA mutations. Mutation rates and associations between mutation site and clinicopathologic characteristics were assessed. Progression-free survival, overall survival, and breast cancer-specific survival were examined using Kaplan-Meier or competing risk methodology. RESULTS: PIK3CA mutation is identified in 32.5% of breast cancers. PIK3CA mutation significantly associates with older age at diagnosis, hormone receptor positivity, HER2 negativity, lower tumor grade and stage, and lymph node negativity. Patients with PIK3CA mutated tumors have significant improvement in overall survival (P = 0.03) and breast cancer-specific survival (P = 0.004). Analysis for PIK3CA mutation site-specific associations reveals that the H1047R kinase domain mutation highly associates with node negativity (P = 0.007), whereas helical domain hotspot mutations associate with older age at diagnosis (P = 0.004). CONCLUSION: This study defines the positive prognostic significance of PIK3CA mutations. This work is clinically relevant, as it will significantly affect the design of clinical trials planned for phosphatidylinositol 3-kinase-targeted therapy. Future work may define a population of older age breast cancer patients in whom therapy can be minimized.
PURPOSE: In breast cancer, somatic mutations in the PIK3CA gene are common. The prognostic implication of these activating mutations remains uncertain as moderately sized studies have yielded variable outcomes. Our aim was to determine the prognostic implications of PIK3CA mutations in breast cancer. EXPERIMENTAL DESIGN: Archival formalin-fixed paraffin-embedded primary breast tumors, from 590 patients selected for known vital status with a median follow-up of 12.8 years and a tumor >1 cm, were genotyped for PIK3CA mutations. Mutation rates and associations between mutation site and clinicopathologic characteristics were assessed. Progression-free survival, overall survival, and breast cancer-specific survival were examined using Kaplan-Meier or competing risk methodology. RESULTS:PIK3CA mutation is identified in 32.5% of breast cancers. PIK3CA mutation significantly associates with older age at diagnosis, hormone receptor positivity, HER2 negativity, lower tumor grade and stage, and lymph node negativity. Patients with PIK3CA mutated tumors have significant improvement in overall survival (P = 0.03) and breast cancer-specific survival (P = 0.004). Analysis for PIK3CA mutation site-specific associations reveals that the H1047R kinase domain mutation highly associates with node negativity (P = 0.007), whereas helical domain hotspot mutations associate with older age at diagnosis (P = 0.004). CONCLUSION: This study defines the positive prognostic significance of PIK3CA mutations. This work is clinically relevant, as it will significantly affect the design of clinical trials planned for phosphatidylinositol 3-kinase-targeted therapy. Future work may define a population of older age breast cancerpatients in whom therapy can be minimized.
Authors: Todd W Miller; Bryan T Hennessy; Ana M González-Angulo; Emily M Fox; Gordon B Mills; Heidi Chen; Catherine Higham; Carlos García-Echeverría; Yu Shyr; Carlos L Arteaga Journal: J Clin Invest Date: 2010-06-07 Impact factor: 14.808
Authors: Sherene Loi; Benjamin Haibe-Kains; Samira Majjaj; Francoise Lallemand; Virginie Durbecq; Denis Larsimont; Ana M Gonzalez-Angulo; Lajos Pusztai; W Fraser Symmans; Alberto Bardelli; Paul Ellis; Andrew N J Tutt; Cheryl E Gillett; Bryan T Hennessy; Gordon B Mills; Wayne A Phillips; Martine J Piccart; Terence P Speed; Grant A McArthur; Christos Sotiriou Journal: Proc Natl Acad Sci U S A Date: 2010-05-17 Impact factor: 11.205
Authors: Christian Hafner; Agustí Toll; Alejandro Fernández-Casado; Julie Earl; Miriam Marqués; Francesco Acquadro; Marinela Méndez-Pertuz; Miguel Urioste; Núria Malats; Julie E Burns; Margaret A Knowles; Juan C Cigudosa; Arndt Hartmann; Thomas Vogt; Michael Landthaler; Ramón M Pujol; Francisco X Real Journal: Proc Natl Acad Sci U S A Date: 2010-11-15 Impact factor: 11.205
Authors: K Kalinsky; J A Sparano; X Zhong; E Andreopoulou; B Taback; L Wiechmann; S M Feldman; P Ananthakrishnan; A Ahmad; S Cremers; A N Sireci; J R Cross; D K Marks; P Mundi; E Connolly; K D Crew; M A Maurer; H Hibshoosh; S Lee; D L Hershman Journal: Clin Transl Oncol Date: 2018-05-07 Impact factor: 3.405
Authors: Stephen J Luen; Rebecca Asher; Chee Khoon Lee; Peter Savas; Roswitha Kammler; Patrizia Dell'Orto; Olivia Maria Biasi; David Demanse; Lellean JeBailey; Sinead Dolan; Wolfgang Hackl; Beat Thuerlimann; Giuseppe Viale; Marco Colleoni; Meredith M Regan; Sherene Loi Journal: JAMA Oncol Date: 2018-10-01 Impact factor: 31.777
Authors: Philip H Kim; Eugene K Cha; John P Sfakianos; Gopa Iyer; Emily C Zabor; Sasinya N Scott; Irina Ostrovnaya; Ricardo Ramirez; Arony Sun; Ronak Shah; Alyssa M Yee; Victor E Reuter; Dean F Bajorin; Jonathan E Rosenberg; Nikolaus Schultz; Michael F Berger; Hikmat A Al-Ahmadie; David B Solit; Bernard H Bochner Journal: Eur Urol Date: 2014-08-01 Impact factor: 20.096