Literature DB >> 21910159

Cytogenetic polyclonality of breast carcinomas: association with clinico-pathological characteristics and outcome.

Margret Steinarsdottir1, Ingi Hrafn Gudmundsson, Jon Gunnlaugur Jonasson, Elinborg J Olafsdottir, Jorunn E Eyfjörd, Helga M Ogmundsdottir.   

Abstract

Routinely used prognostic factors fail to predict clinical outcome in a significant proportion of breast cancer patients, implying that they can not detect some important biological characteristics. Chromosomal changes have been described in breast carcinomas for many years but their significance is not clear. We compared chromosomal changes with clinico-pathological characteristics and clinical outcome in 203 breast cancer patients with a follow-up of 9-18 years. Combining data from classical cytogenetics and flow cytometry revealed chromosomal abnormalities in 142 cases (70%). Of these, 51 (35.9%) contained two or more cytogenetically abnormal clones. Polyclonality was significantly associated with poor breast-cancer-specific survival (P = 0.03) within 5 years, independent of tumor size, lymph node metastases, and hormone receptors. Specific changes were similar to those previously described, but a new finding was a significant association between del 3p12p21 and poor survival. Polyclonality was significantly associated with TP53-mutations but not with a germline BRCA2 mutation. Less than one third of the polyclonal samples were identified by flow cytometry alone. Cytogenetic changes were detected in 17 out of 114 samples from non-tumorous tissue (15%), two of them identical with a clone in the corresponding tumor. Several samples contained clearly unrelated clones within the tumor and outside, implying either multifocal origin or early divergence. In conclusion, the common deletion on Chromosome 3p12p21 was associated with poor clinical outcome. Chromosomal polyclonality is common in breast carcinomas and predicts poor survival. Polyclonality was poorly detected by one-sample flow cytometry. Multiple sampling might improve the detection rate.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21910159     DOI: 10.1002/gcc.20915

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  1 in total

1.  Molecular karyotyping and gene expression analysis in childhood cancer patients.

Authors:  Galetzka Danuta; Müller Tobias; Dittrich Marcus; Endres Miriam; Kartal Nergiz; Sinizyn Olesja; Rapp Steffen; Zeller Tanja; Müller Christian; Hankeln Thomas; Scholz-Kreisel Peter; Chorzempa Heather; Mirsch Johanna; Poplawski Alicia; Rossmann Heidi; Spix Claudia; Haaf Thomas; Prawitt Dirk; Marron Manuela; Schmidberger Heinz
Journal:  J Mol Med (Berl)       Date:  2020-06-23       Impact factor: 4.599

  1 in total

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