BACKGROUND: To distinguish new primary breast cancers from true recurrences, pangenomic analyses of DNA copy number alterations (CNAs) using single-nucleotide polymorphism arrays have proven useful. METHODS: The pangenomic profiles of 22 pairs of primary breast carcinoma (ductal or lobular) and ipsilateral breast cancers from the same patients were analyzed. Hierarchical clustering was performed using CNAs and DNA breakpoint information. A partial identity score developed using DNA breakpoint information was used to quantify partial identities between two tumors. The nature of ipsilateral breast cancers (true recurrence vs new primary tumor) as defined using the clustering methods and the partial identity score was compared with that based on clinical characteristics. Metastasis-free survival was compared among patients with primary tumors and true recurrences as defined using the partial identity score and by clinical characteristics. All statistical tests were two-sided. RESULTS: All methods agreed on the nature of ipsilateral breast cancers for 14 pairs of samples. For five pairs, the clinical definition disagreed with both clustering methods. For three pairs, the two clustering methods were discordant and the one using DNA breakpoints agreed with the clinical definition. The partial identity score confirmed the nature of ipsilateral breast cancers as defined by clustering of DNA breakpoints in 21 of 22 pairs. The difference in metastasis-free survival of patients with new primary tumors and those with true recurrences was not statistically significant when tumors were defined based on clinical and histologic characteristics (5-year metastasis-free survival: 76%, 95% confidence interval [CI] = 52% to 100% for new primary tumors and 38%, 95% CI = 17% to 83% for true recurrences; P = .18; new primary tumor vs true recurrence, hazard ratio = 2.8, 95% CI = 0.6 to 13.7), but the difference was statistically significant when tumors were defined using the partial identity score (5-year metastasis-free survival: 100% for new primary tumors and 29%, 95% CI = 11% to 78% for true recurrences; P = .01). CONCLUSIONS: DNA breakpoint information more often agreed with the clinical determination than CNAs in this population. The partial identity score, which was calculated based on DNA breakpoints, allows statistical discrimination between new primary tumors and true recurrences that could outperform the clinical determination in terms of prognosis.
BACKGROUND: To distinguish new primary breast cancers from true recurrences, pangenomic analyses of DNA copy number alterations (CNAs) using single-nucleotide polymorphism arrays have proven useful. METHODS: The pangenomic profiles of 22 pairs of primary breast carcinoma (ductal or lobular) and ipsilateral breast cancers from the same patients were analyzed. Hierarchical clustering was performed using CNAs and DNA breakpoint information. A partial identity score developed using DNA breakpoint information was used to quantify partial identities between two tumors. The nature of ipsilateral breast cancers (true recurrence vs new primary tumor) as defined using the clustering methods and the partial identity score was compared with that based on clinical characteristics. Metastasis-free survival was compared among patients with primary tumors and true recurrences as defined using the partial identity score and by clinical characteristics. All statistical tests were two-sided. RESULTS: All methods agreed on the nature of ipsilateral breast cancers for 14 pairs of samples. For five pairs, the clinical definition disagreed with both clustering methods. For three pairs, the two clustering methods were discordant and the one using DNA breakpoints agreed with the clinical definition. The partial identity score confirmed the nature of ipsilateral breast cancers as defined by clustering of DNA breakpoints in 21 of 22 pairs. The difference in metastasis-free survival of patients with new primary tumors and those with true recurrences was not statistically significant when tumors were defined based on clinical and histologic characteristics (5-year metastasis-free survival: 76%, 95% confidence interval [CI] = 52% to 100% for new primary tumors and 38%, 95% CI = 17% to 83% for true recurrences; P = .18; new primary tumor vs true recurrence, hazard ratio = 2.8, 95% CI = 0.6 to 13.7), but the difference was statistically significant when tumors were defined using the partial identity score (5-year metastasis-free survival: 100% for new primary tumors and 29%, 95% CI = 11% to 78% for true recurrences; P = .01). CONCLUSIONS: DNA breakpoint information more often agreed with the clinical determination than CNAs in this population. The partial identity score, which was calculated based on DNA breakpoints, allows statistical discrimination between new primary tumors and true recurrences that could outperform the clinical determination in terms of prognosis.
Authors: Efsevia Vakiani; Manickam Janakiraman; Ronglai Shen; Rileen Sinha; Zhaoshi Zeng; Jinru Shia; Andrea Cercek; Nancy Kemeny; Michael D'Angelica; Agnes Viale; Adriana Heguy; Philip Paty; Timothy A Chan; Leonard B Saltz; Martin Weiser; David B Solit Journal: J Clin Oncol Date: 2012-06-04 Impact factor: 44.544
Authors: Ian G Campbell; Kylie L Gorringe; Tanjina Kader; Kenneth Elder; Magnus Zethoven; Timothy Semple; Prue Hill; David L Goode; Niko Thio; Dane Cheasley; Simone M Rowley; David J Byrne; Jia-Min Pang; Islam M Miligy; Andrew R Green; Emad A Rakha; Stephen B Fox; G Bruce Mann Journal: NPJ Breast Cancer Date: 2020-03-12
Authors: Irina Ostrovnaya; Adam B Olshen; Venkatraman E Seshan; Irene Orlow; Donna G Albertson; Colin B Begg Journal: Stat Med Date: 2010-07-10 Impact factor: 2.373
Authors: James Laird; Benjamin Lok; Chun Siu; Oren Cahlon; Atif J Khan; Beryl McCormick; Simon N Powell; Hiram Cody; Hannah Yong Wen; Alice Ho; Lior Z Braunstein Journal: Ann Surg Oncol Date: 2017-11-01 Impact factor: 5.344
Authors: Nicolas Girard; Irina Ostrovnaya; Christopher Lau; Bernard Park; Marc Ladanyi; David Finley; Charuhas Deshpande; Valerie Rusch; Irene Orlow; William D Travis; William Pao; Colin B Begg Journal: Clin Cancer Res Date: 2009-08-11 Impact factor: 12.531