83 research outputs found

    Differences and homologies of chromosomal alterations within and between breast cancer cell lines : A clustering analysis

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    Background: The MCF7 (ER+/HER2-), T47D (ER+/HER2-), BT474 (ER+/HER2+) and SKBR3 (ER-/HER2+) breast cancer cell lines are widely used in breast cancer research as paradigms of the luminal and HER2 phenotypes. Although they have been subjected to cytogenetic analysis, their chromosomal abnormalities have not been carefully characterized, and their differential cytogenetic profiles have not yet been established. In addition, techniques such as comparative genomic hybridization (CGH), microarray-based CGH and multiplex ligation-dependent probe amplification (MLPA) have described specific regions of gains, losses and amplifications of these cell lines; however, these techniques cannot detect balanced chromosomal rearrangements (e.g., translocations or inversions) or low frequency mosaicism. Results: A range of 19 to 26 metaphases of the MCF7, T47D, BT474 and SKBR3 cell lines was studied using conventional (G-banding) and molecular cytogenetic techniques (multi-color fluorescence in situ hybridization, M-FISH). We detected previously unreported chromosomal changes and determined the content and frequency of chromosomal markers. MCF7 and T47D (ER+/HER2-) cells showed a less complex chromosomal make up, with more numerical than structural alterations, compared to BT474 and SKBR3 (HER2+) cells, which harbored the highest frequency of numerical and structural aberrations. Karyotype heterogeneity and clonality were determined by comparing all metaphases within and between the four cell lines by hierarchical clustering. The latter analysis identified five main clusters. One of these clusters was characterized by numerical chromosomal abnormalities common to all cell lines, and the other four clusters encompassed cell-specific chromosomal abnormalities. T47D and BT474 cells shared the most chromosomal abnormalities, some of which were shared with SKBR3 cells. MCF7 cells showed a chromosomal pattern that was markedly different from those of the other cell lines. Conclusions: Our study provides a comprehensive and specific characterization of complex chromosomal aberrations of MCF7, T47D, BT474 and SKBR3 cell lines.The chromosomal pattern of ER+/HER2- cells is less complex than that of ER+/HER2+ and ER-/HER2+ cells. These chromosomal abnormalities could influence the biologic and pharmacologic response of cells. Finally, although gene expression profiling and aCGH studies have classified these four cell lines as luminal, our results suggest that they are heterogeneous at the cytogenetic level. © 2014Rondón-Lagos et al.; licensee BioMed Central Ltd

    Differences and homologies of chromosomal alterations within and between breast cancer cell lines: A clustering analysis

    Get PDF
    BACKGROUND: The MCF7 (ER+/HER2-), T47D (ER+/HER2-), BT474 (ER+/HER2+) and SKBR3 (ER-/HER2+) breast cancer cell lines are widely used in breast cancer research as paradigms of the luminal and HER2 phenotypes. Although they have been subjected to cytogenetic analysis, their chromosomal abnormalities have not been carefully characterized, and their differential cytogenetic profiles have not yet been established. In addition, techniques such as comparative genomic hybridization (CGH), microarray-based CGH and multiplex ligation-dependent probe amplification (MLPA) have described specific regions of gains, losses and amplifications of these cell lines; however, these techniques cannot detect balanced chromosomal rearrangements (e.g., translocations or inversions) or low frequency mosaicism. RESULTS: A range of 19 to 26 metaphases of the MCF7, T47D, BT474 and SKBR3 cell lines was studied using conventional (G-banding) and molecular cytogenetic techniques (multi-color fluorescence in situ hybridization, M-FISH). We detected previously unreported chromosomal changes and determined the content and frequency of chromosomal markers. MCF7 and T47D (ER+/HER2-) cells showed a less complex chromosomal make up, with more numerical than structural alterations, compared to BT474 and SKBR3 (HER2+) cells, which harbored the highest frequency of numerical and structural aberrations. Karyotype heterogeneity and clonality were determined by comparing all metaphases within and between the four cell lines by hierarchical clustering. The latter analysis identified five main clusters. One of these clusters was characterized by numerical chromosomal abnormalities common to all cell lines, and the other four clusters encompassed cell-specific chromosomal abnormalities. T47D and BT474 cells shared the most chromosomal abnormalities, some of which were shared with SKBR3 cells. MCF7 cells showed a chromosomal pattern that was markedly different from those of the other cell lines. CONCLUSIONS: Our study provides a comprehensive and specific characterization of complex chromosomal aberrations of MCF7, T47D, BT474 and SKBR3 cell lines. The chromosomal pattern of ER+/HER2- cells is less complex than that of ER+/HER2+ and ER-/HER2+ cells. These chromosomal abnormalities could influence the biologic and pharmacologic response of cells. Finally, although gene expression profiling and aCGH studies have classified these four cell lines as luminal, our results suggest that they are heterogeneous at the cytogenetic level

    Health-related quality of life in patients with chronic myeloid leukemia receiving first-line therapy with nilotinib

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    BACKGROUND: Although a wealth of efficacy and safety data is available for many tyrosine kinase inhibitors used in chronic myeloid leukemia (CML), there is a dearth of information on their impact on patients' health-related quality of life (HRQOL). The primary objective of this study was to evaluate HRQOL and fatigue outcomes in patients with CML receiving first-line therapy with nilotinib. METHODS: This was a multicenter, prospective study enrolling 130 patients with chronic-phase CML. HRQOL and fatigue were evaluated with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and its validated Fatigue module at the baseline and then at 3, 6, 12, 18, and 24 months. The primary prespecified HRQOL endpoints defined in the study protocol for longitudinal analysis were the Physical Functioning, Social Functioning, Role Functioning, and Fatigue scales. The remaining scales were investigated on an exploratory basis. RESULTS: The rate of baseline compliance with the HRQOL assessment was 95.4% (124 of 130), and the rate of overall compliance with HRQOL forms was 91%. Among the 4 prespecified primary HRQOL endpoints, statistically significant improvements over time were found for Physical Functioning (P =.013), Role Functioning (P =.004), and Fatigue (P <.001). Clinically meaningful improvements were found already 3 months after the treatment start. The baseline patient self-reported fatigue severity was an independent predictive factor for the achievement of a major molecular response with an odds ratio of 0.960 (95% confidence interval, 0.934-0.988; P =.005). CONCLUSIONS: For most patients, HRQOL improvements with nilotinib occur during the early phase of therapy and are maintained over time. Also, a more systematic HRQOL evaluation during the diagnostic workup of CML may help to predict clinical outcomes. Cancer 2018;124:2228-37. © 2018 American Cancer Society
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