Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer
المؤلفون المشاركون
Pearlman, Alexander
Melamed, Jonathan
Brooks, Eric
Bova, G. Steven
Ostrer, Harry
Campbell, Christopher
Schneider, Robert J.
Shajahan, Shahin
Holcomb, Ilona
Ittman, Michael
Genshaft, Alex
المصدر
Journal of Probability and Statistics
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-07-29
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
The transition of cancer from a localized tumor to a distant metastasis is not well understood for prostate and many other cancers, partly, because of the scarcity of tumor samples, especially metastases, from cancer patients with long-term clinical follow-up.
To overcome this limitation, we developed a semi-supervised clustering method using the tumor genomic DNA copy number alterations to classify each patient into inferred clinical outcome groups of metastatic potential.
Our data set was comprised of 294 primary tumors and 49 metastases from 5 independent cohorts of prostate cancer patients.
The alterations were modeled based on Darwin’s evolutionary selection theory and the genes overlapping these altered genomic regions were used to develop a metastatic potential score for a prostate cancer primary tumor.
The function of the proteins encoded by some of the predictor genes promote escape from anoikis, a pathway of apoptosis, deregulated in metastases.
We evaluated the metastatic potential score with other clinical predictors available at diagnosis using a Cox proportional hazards model and show our proposed score was the only significant predictor of metastasis free survival.
The metastasis gene signature and associated score could be applied directly to copy number alteration profiles from patient biopsies positive for prostate cancer.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pearlman, Alexander& Campbell, Christopher& Brooks, Eric& Genshaft, Alex& Shajahan, Shahin& Ittman, Michael…[et al.]. 2012. Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-505201
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pearlman, Alexander…[et al.]. Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer. Journal of Probability and Statistics No. 2012 (2012), pp.1-19.
https://search.emarefa.net/detail/BIM-505201
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pearlman, Alexander& Campbell, Christopher& Brooks, Eric& Genshaft, Alex& Shajahan, Shahin& Ittman, Michael…[et al.]. Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-505201
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-505201
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر