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Genomic imbalances detected by comparative genomic hybridization are prognostic markers in invasive ductal breast carcinomas
Author(s) -
Zudaire I,
Odero M D,
Caballero C,
Valenti C,
MartínezPenuela J M,
Isola J,
Calasanz M J
Publication year - 2002
Publication title -
histopathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.626
H-Index - 124
eISSN - 1365-2559
pISSN - 0309-0167
DOI - 10.1046/j.1365-2559.2002.01413.x
Subject(s) - comparative genomic hybridization , breast cancer , ductal carcinoma , lymph node , biology , oncology , medicine , invasive ductal carcinoma , breast tumours , pathology , cancer , chromosome , gene , genetics
Genomic imbalances detected by comparative genomic hybridization are prognostic markers in invasive ductal breast carcinomasAims : 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). Conclusions : Chromosomal imbalances, together with histopathological factors, may help to predict outcome in breast cancer patients.