OBJECTIVE: The prognosis of breast cancer-derived brain metastasis is poor, but new drugs and recent therapeutic strategies have helped extend survival in patients. Prediction of therapeutic responses and outcomes is not yet possible, however. In a retrospective study, we examined prognostic factors in patients with breast cancer-derived brain metastasis, and we tested the prognostic utility of a breast cancer-specific Graded Prognostic Assessment in these patients. METHODS: Sixty-three patients diagnosed with brain metastasis from breast cancer treated surgically and adjuvantly were included. We examined clinical variables per primary tumor subtype: ER+/HER2- (luminal), HER2+ (human epidermal growth factor receptor type 2-enriched) or ER-/PR-/HER2- (triple negative). We also categorized patients' breast cancer-specific Graded Prognostic Assessment scores and analyzed post-brain metastasis survival time in relation to these categories. RESULTS: The breast cancers comprised the following subtypes: luminal, n = 18; human epidermal growth factor receptor type 2-enriched, n = 27 and triple-negative, n = 18; median survival per subtype was 11, 37 and 3 months, respectively. Survival of human epidermal growth factor receptor type 2-enriched patients was longer, though not significantly (P = 0.188), than that of luminal patients. Survival of triple-negative patients was significantly short (vs. human epidermal growth factor receptor type 2-enriched patients, P < 0.001). Karnofsky performance status, HER2 status and the disease-free interval (from initial treatment to first recurrence) were shown to be significant prognostic factors (Karnofsky performance status < 70: relative risk 2.08, P = 0.028; HER2+: relative risk 2.911, P = 0.004; disease-free interval < 24 months: relative risk 1.933, P = 0.011). Breast cancer-specific Graded Prognostic Assessment scores reflected disease-free intervals and survival times. CONCLUSIONS: Our data indicate that breast cancer-specific Graded Prognostic Assessment-based prediction will be helpful in determining appropriate therapeutic strategies for patients with brain metastasis from breast cancer.
OBJECTIVE: The prognosis of breast cancer-derived brain metastasis is poor, but new drugs and recent therapeutic strategies have helped extend survival in patients. Prediction of therapeutic responses and outcomes is not yet possible, however. In a retrospective study, we examined prognostic factors in patients with breast cancer-derived brain metastasis, and we tested the prognostic utility of a breast cancer-specific Graded Prognostic Assessment in these patients. METHODS: Sixty-three patients diagnosed with brain metastasis from breast cancer treated surgically and adjuvantly were included. We examined clinical variables per primary tumor subtype: ER+/HER2- (luminal), HER2+ (human epidermal growth factor receptor type 2-enriched) or ER-/PR-/HER2- (triple negative). We also categorized patients' breast cancer-specific Graded Prognostic Assessment scores and analyzed post-brain metastasis survival time in relation to these categories. RESULTS: The breast cancers comprised the following subtypes: luminal, n = 18; human epidermal growth factor receptor type 2-enriched, n = 27 and triple-negative, n = 18; median survival per subtype was 11, 37 and 3 months, respectively. Survival of human epidermal growth factor receptor type 2-enriched patients was longer, though not significantly (P = 0.188), than that of luminal patients. Survival of triple-negative patients was significantly short (vs. human epidermal growth factor receptor type 2-enriched patients, P < 0.001). Karnofsky performance status, HER2 status and the disease-free interval (from initial treatment to first recurrence) were shown to be significant prognostic factors (Karnofsky performance status < 70: relative risk 2.08, P = 0.028; HER2+: relative risk 2.911, P = 0.004; disease-free interval < 24 months: relative risk 1.933, P = 0.011). Breast cancer-specific Graded Prognostic Assessment scores reflected disease-free intervals and survival times. CONCLUSIONS: Our data indicate that breast cancer-specific Graded Prognostic Assessment-based prediction will be helpful in determining appropriate therapeutic strategies for patients with brain metastasis from breast cancer.
Authors: Daisuke Yamashita; Mutsuko Minata; Ahmed N Ibrahim; Shinobu Yamaguchi; Vito Coviello; Joshua D Bernstock; Shuko Harada; Richard A Cerione; Bakhos A Tannous; Concettina La Motta; Ichiro Nakano Journal: Mol Cancer Ther Date: 2020-03-03 Impact factor: 6.261
Authors: Allison M Martin; Daniel N Cagney; Paul J Catalano; Laura E Warren; Jennifer R Bellon; Rinaa S Punglia; Elizabeth B Claus; Eudocia Q Lee; Patrick Y Wen; Daphne A Haas-Kogan; Brian M Alexander; Nancy U Lin; Ayal A Aizer Journal: JAMA Oncol Date: 2017-08-01 Impact factor: 31.777