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|Genomic imbalances detected by comparative genomic hybridization are prognostic markers in invasive ductal breast carcinomas|
|Authors: ||Zudaire, I. (Isabel)|
Odero, M.D. (Maria Dolores)
Caballero, C. (C.)
Valenti, C. (C.)
Martinez-Peñuela, J.M. (J.M.)
Isola, J. (J.)
Calasanz-Abinzano, M.J. (Maria Jose)
Invasive ductal breast carcinomas
|Issue Date: ||2002|
|Publisher: ||Blackwell Publishing|
|Publisher version: ||http://onlinelibrary.wiley.com/doi/10.1046/j.1365-2559.2002.01413.x/abstract|
|Citation: ||Zudaire I, Odero MD, Caballero C, Valenti C, Martinez-Penuela JM, Isola J, et al. Genomic imbalances detected by comparative genomic hybridization are prognostic markers in invasive ductal breast carcinomas. Histopathology 2002 Jun;40(6):547-555.|
The aim of this work is the study of the prognostic significance of the chromosomal aberrations described in a series of invasive ductal breast carcinomas.
METHODS AND RESULTS:
We analysed by comparative genomic hybridization a group of 70 formalin-fixed paraffin-embedded invasive ductal breast carcinomas. Aberrations showed a frequency similar to previous studies using frozen tumours. Interestingly, we identified gains involving 6q16-q24 more frequently than in other series. We analysed the association among the chromosomal imbalances, 11 histopathological factors, relapse rate and overall survival of patients. Associations showed 16q losses as a potential marker of good prognosis, as they were more frequent in node-negative (P=0.025) and in oestrogen-positive tumours (P < 0.001). Furthermore, 100% of bcl-2+ tumours presented this aberration compared with 29.3% in bcl-2- (P=0.014). 1q, 11q, 17q and 20q gains were associated with poor prognosis: 95% of cases with 1q gains were bigger than 20 mm (P=0.041). Tumours with 1q and 11q gains showed a higher relapse rate (P=0.063; P=0.066). Within the good prognosis group of lymph node-negative patients, 17q and 20q gains identify a subgroup with increased relapse rate (P=0.039).
Chromosomal imbalances, together with histopathological factors, may help to predict outcome in breast cancer patients.
|Permanent link: ||http://hdl.handle.net/10171/19583|
|Appears in Collections:||DA - CIMA - Oncología - Genética - Artículos de revista|
DA - Ciencias - Genética - Artículos de revista
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