کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10914649 1088804 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust BRCA1-like classification of copy number profiles of samples repeated across different datasets and platforms
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
پیش نمایش صفحه اول مقاله
Robust BRCA1-like classification of copy number profiles of samples repeated across different datasets and platforms
چکیده انگلیسی
We investigated samples from 230 breast cancer patients for which a CN profile had been generated on two to five platforms, comprising low coverage CN sequencing, CN extraction from targeted sequencing panels (CopywriteR), Affymetrix SNP6.0, 135K/720K oligonucleotide aCGH, Affymetrix Oncoscan FFPE (MIP) technology, 3K BAC and 32K BAC aCGH. Pairwise comparison of genomic position-mapped profiles from the original aCGH platform and other platforms revealed concordance. For most cases, biological differences between samples exceeded the differences between platforms within one sample. We observed the same classification across different platforms in over 80% of the patients and kappa values of at least 0.36. Differential classification could be attributed to CN profiles that were not strongly associated to one class. In conclusion, we have shown that the genomic regions that define our BRCA1-like classifier are robustly measured by different CN profiling technologies, providing the possibility to retro- and prospectively investigate BRCA1-like classification across a wide range of CN platforms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Molecular Oncology - Volume 9, Issue 7, August 2015, Pages 1274-1286
نویسندگان
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