title: Patterns and incidence of chromosomal instability and their prognostic relevance in breast cancer subtypes.
abstract: One of the hallmarks of human solid tumors is chromosomal instability (CIN). We studied global patterns as well as individual levels of CIN and determined the prognostic relevance among breast cancer subtypes. For this, we used single nucleotide polymorphism copy number data of 313 primary lymph-node negative breast cancers. The level of CIN for individual samples was determined by counting the total number of chromosomal segments showing a gain or loss per specimen. Hierarchical clustering resulted in four groups showing distinct patterns of abnormalities, predominantly characterized by 1q gain, 8q gain, 1q&8q gain, or no gain of these loci. Estrogen receptor (ER)-positive and ER-negative samples showed an uneven distribution (statistically significant) across the cluster-groups, as did the molecular subtypes and triple-negative tumors (negative for estrogen-, progesterone-, and her2/neu-receptor). The CIN-score was significantly higher in ER-negative and triple-negative samples. Among luminal cancers, luminal B had a higher CIN-score than luminal A. The CIN-score was significantly associated with prognosis, measured by the time to distant metastasis, in ER-positive, luminal B, and her2/neu subtypes, but not in ER-negative patients. Our study points to a multifaceted role for CIN in breast cancer. Within ER-negative samples, CIN is likely related to the onset but other factors govern the progression of the disease. In contrast, CIN is clearly associated with progression in ER-positive, luminal B, and her2/neu subtypes; thus, assessing CIN in these subtypes may contribute to personalized patient management.
authors.affiliation: Department of Medical Oncology, Josephine Nefkens Institute, Erasmus MC, DR, Rotterdam, The Netherlands.
authors.forename: Marcel
authors.initials: M
authors.lastname: Smid
authors.forename: Marlous
authors.initials: M
authors.lastname: Hoes
authors.forename: Anieta M
authors.initials: AM
authors.lastname: Sieuwerts
authors.forename: Stefan
authors.initials: S
authors.lastname: Sleijfer
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yixin
authors.initials: Y
authors.lastname: Wang
authors.forename: John A
authors.initials: JA
authors.lastname: Foekens
authors.forename: John W M
authors.initials: JW
authors.lastname: Martens
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism / Q000401:mortality; D043171:Chromosomal Instability; D005260:Female; D018628:Gene Dosage; D056726:Genetic Association Studies; D006801:Humans; D015994:Incidence; D053208:Kaplan-Meier Estimate; D008875:Middle Aged; D009376:Neoplasms, Hormone-Dependent / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism / Q000401:mortality; D011379:Prognosis; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000235:genetics / Q000378:metabolism; D011960:Receptors, Estrogen / Q000235:genetics / Q000378:metabolism; D011980:Receptors, Progesterone / Q000235:genetics / Q000378:metabolism; D018709:Statistics, Nonparametric; D014158:Transcription, Genetic
chemical_list: D018719:Erb-b2 Receptor Tyrosine Kinases; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone; C508053:ERBB2 protein, human