We have previously found that the borders of evolutionarily conserved chromosomal regions often coincide with tumor-associated deletion breakpoints within human 3p12-p22. Moreover, a detailed analysis of a frequently deleted region at 3p21.3 (CER1) showed associations between tumor breaks and gene duplications. We now report on the analysis of 54 chromosome 3 breaks by multipoint FISH (mpFISH) in 10 carcinoma-derived cell lines. The centromeric region was broken in five lines. In lines with highly complex karyotypes, breaks were clustered near known fragile sites, FRA3B, FRA3C, and FRA3D (three lines), and in two other regions: 3p12.3-p13 (∼75 Mb position) and 3q21.3-q22

Background Use of cyclin D1 ( CCND1 ) gene amplification as a breast cancer biomarker has been hampered by conflicting assessments of the relationship between cyclin D1 protein levels and patient survival. Here, we aimed to clarify its prognostic and treatment predictive potential through comprehensive long-term survival analyses. Methods CCND1 amplification was assessed using SNP arrays from two cohorts of 1965 and 340 patients with matching gene expression array and clinical follow-up data of over 15 years. Kaplan-Meier and multivariable Cox regression analyses were used to determine survival differences between CCND1 amplified vs. non-amplified tumours in clinically relevant patient sets, within PAM50 subtypes and within treatment-specific subgroups. Boxplots and differential gene expression analyses were performed to assess differences between amplified vs. non-amplified tumours within PAM50 subtypes. Results When combining both cohorts, worse survival was found for patients with CCND1 -amplified tumours in luminal A (HR = 1.68; 95% CI, 1.15–2.46), luminal B (1.37; 1.01–1.86) and ER+/LN−/HER2− (1.66; 1.14–2.41) subgroups. In gene expression analysis, CCND1 -amplified luminal A tumours showed increased proliferation ( P < 0.001) and decreased progesterone ( P = 0.002) levels along with a large overlap in differentially expressed genes when comparing luminal A and B-amplified vs. non-amplified tumours. Conclusions Our results indicate that CCND1 amplification is associated with worse 15-year survival in ER+/LN−/HER2−, luminal A and luminal B patients. Moreover, luminal A CCND1 -amplified tumours display gene expression changes consistent with a more aggressive phenotype. These novel findings highlight the potential of CCND1 to identify patients that could benefit from long-term treatment strategies. Electronic supplementary material The online version of this article (10.1186/s13058-019-1121-4) contains supplementary material, which is available to authorized users.

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Most cancer genomes are characterized by the gain or loss of copies of some sequences through deletion, amplification or unbalanced translocations. Delineating and quantifying these changes is important in understanding the initiation and progression of cancer, in identifying novel therapeutic targets, and in the diagnosis and prognosis of individual patients. Conventional methods for measuring copy-number are limited in their ability to analyse large numbers of loci, in their dynamic range and accuracy, or in their ability to analyse small or degraded samples. This latter limitation makes it difficult to access the wealth of fixed, archived material present in clinical collections, and also impairs our ability to analyse small numbers of selected cells from biopsies. Molecular copy-number counting (MCC), a digital PCR technique, has been used to delineate a non-reciprocal translocation using good quality DNA from a renal carcinoma cell line. We now demonstrate microMCC, an adaptation of MCC which allows the precise assessment of copy number variation over a significant dynamic range, in template DNA extracted from formalin-fixed paraffin-embedded clinical biopsies. Further, microMCC can accurately measure copy number variation at multiple loci, even when applied to picogram quantities of grossly degraded DNA extracted after laser capture microdissection of fixed specimens. Finally, we demonstrate the power of microMCC to precisely interrogate cancer genomes, in a way not currently feasible with other methodologies, by defining the position of a junction between an amplified and non-amplified genomic segment in a bronchial carcinoma. This has tremendous potential for the exploitation of archived resources for high-resolution targeted cancer genomics and in the future for interrogating multiple loci in cancer diagnostics or prognostics.