کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8457047 | 1548792 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Unsupervised Analysis of Array Comparative Genomic Hybridization Data from Early-Onset Colorectal Cancer Reveals Equivalence with Molecular Classification and Phenotypes
ترجمه فارسی عنوان
تجزیه و تحلیل بی نظیر داده های ترکیبی ژنومی مقایسه ای از سرطان کولورکتال زودرس نشان می دهد که سازگاری با طبقه بندی مولکولی و فنوتیپ ها
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کلمات کلیدی
aCGHGIICIMPMACSMMRMSIDFSMSSCNACpG island methylator phenotype - phenotype methylparate جزیره CpGArray comparative genomic hybridization - اریبر هیبریداسیون ژنومی مقایسه ایdisease-free survival - بقاء بدون بیماریoverall survival - بقای کلMicrosatellite instability - بی ثباتی ریزماهواره ایChromosomal instability - بی ثباتی کروموزومیmismatch repair - تعمیر ناسازگاریCin - جینColorectal cancer - سرطان روده بزرگLynch syndrome - سندرم لینچmicrosatellite stability - پایداری میکروسله رانیCRC - کد افزونگی دورهای Copy number alteration - کپی تغییر شماره
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
چکیده انگلیسی
AIM: To investigate whether chromosomal instability (CIN) is associated with tumor phenotypes and/or with global genomic status based on MSI (microsatellite instability) and CIMP (CpG island methylator phenotype) in early-onset colorectal cancer (EOCRC). METHODS: Taking as a starting point our previous work in which tumors from 60 EOCRC cases (â¤45 years at the time of diagnosis) were analyzed by array comparative genomic hybridization (aCGH), in the present study we performed an unsupervised hierarchical clustering analysis of those aCGH data in order to unveil possible associations between the CIN profile and the clinical features of the tumors. In addition, we evaluated the MSI and the CIMP statuses of the samples with the aim of investigating a possible relationship between copy number alterations (CNAs) and the MSI/CIMP condition in EOCRC. RESULTS: Based on the similarity of the CNAs detected, the unsupervised analysis stratified samples into two main clusters (A, B) and four secondary clusters (A1, A2, B3, B4). The different subgroups showed a certain correspondence with the molecular classification of colorectal cancer (CRC), which enabled us to outline an algorithm to categorize tumors according to their CIMP status. Interestingly, each subcluster showed some distinctive clinicopathological features. But more interestingly, the CIN of each subcluster mainly affected particular chromosomes, allowing us to define chromosomal regions more specifically affected depending on the CIMP/MSI status of the samples. CONCLUSIONS: Our findings may provide a basis for a new form of classifying EOCRC according to the genomic status of the tumors.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neoplasia - Volume 19, Issue 1, January 2017, Pages 28-34
Journal: Neoplasia - Volume 19, Issue 1, January 2017, Pages 28-34
نویسندگان
MarÃa Arriba, Juan L. GarcÃa, Daniel Rueda, Jessica Pérez, Lorena Brandariz, Oana A. Nutu, Laura Alonso, Yolanda RodrÃguez, Miguel Urioste, Rogelio González-Sarmiento, José Perea,