scholarly journals Chromosomal copy number changes supporting the classification of lentiginous junctional melanoma of the elderly as a subtype of melanoma

2009 ◽  
Vol 22 (9) ◽  
pp. 1258-1262 ◽  
Author(s):  
Marissa D Newman ◽  
Marjan Mirzabeigi ◽  
Pedram Gerami
Keyword(s):  
Copy Number ◽  
The Elderly ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes

scholarly journals Chromosomal copy number changes of locally advanced rectal cancers treated with preoperative chemoradiotherapy

2009 ◽  
Vol 193 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Marian Grade ◽  
Jochen Gaedcke ◽  
Danny Wangsa ◽  
Sudhir Varma ◽  
Jaje Beckmann ◽  
...  
Keyword(s):  
Copy Number ◽  
Locally Advanced ◽  
Preoperative Chemoradiotherapy ◽  
Rectal Cancers ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes

Identification of oligodendroglioma specific chromosomal copy number changes in the glioblastoma MI-4 cell line by array-CGH and FISH analyses

2005 ◽  
Vol 161 (2) ◽  
pp. 140-145 ◽  
Author(s):  
Ivana Magnani ◽  
Ramona Frida Ramona ◽  
Gaia Roversi ◽  
Alessandro Beghini ◽  
Rolph Pfundt ◽  
...  
Keyword(s):  
Cell Line ◽  
Copy Number ◽  
Array Cgh ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes

scholarly journals Frequent inactivating mutations of STAG2 in bladder cancer are associated with low tumour grade and stage and inversely related to chromosomal copy number changes

2013 ◽  
Vol 23 (8) ◽  
pp. 1964-1974 ◽  
Author(s):  
Claire F. Taylor ◽  
Fiona M. Platt ◽  
Carolyn D. Hurst ◽  
Helene H. Thygesen ◽  
Margaret A. Knowles
Keyword(s):  
Bladder Cancer ◽  
Copy Number ◽  
Tumour Grade ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes ◽  
Inactivating Mutations

Analysis of chromosomal copy number changes and oncoprotein expression in primary central nervous system lymphomas: frequent loss of chromosome arm 6q

2003 ◽  
Vol 443 (2) ◽  
pp. 164-169 ◽  
Author(s):  
Ronald Boonstra ◽  
Alice Koning ◽  
Mirjam Mastik ◽  
Anke van den Berg ◽  
Sibrand Poppema
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Copy Number ◽  
Chromosome Arm ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes

scholarly journals Genome-Wide Analysis of Subependymomas Shows Underlying Chromosomal Copy Number Changes Involving Chromosomes 6, 7, 8 and 14 in a Proportion of Cases

2008 ◽  
Vol 0 (0) ◽  
pp. 080407141616718-??? ◽  
Author(s):  
Kathreena M. Kurian ◽  
David T.W. Jones ◽  
Faye Marsden ◽  
Sam W.S. Openshaw ◽  
Danita M. Pearson ◽  
...  
Keyword(s):  
Copy Number ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes

Identification of chromosomal copy number changes associated with transformation of follicular lymphoma to diffuse large B-cell lymphoma

2003 ◽  
Vol 34 (9) ◽  
pp. 915-923 ◽  
Author(s):  
Ronald Boonstra ◽  
Anneke Bosga-Bouwer ◽  
Mirjam Mastik ◽  
Eugenia Haralambieva ◽  
Jelle Conradie ◽  
...  
Keyword(s):  
Follicular Lymphoma ◽  
B Cell ◽  
Copy Number ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Large B Cell Lymphoma ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Copy Number Changes ◽  
Large B Cell

scholarly journals Chromosomal copy number heterogeneity predicts survival rates across cancers

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Erik van Dijk ◽  
Tom van den Bosch ◽  
Kristiaan J. Lenos ◽  
Khalid El Makrini ◽  
Lisanne E. Nijman ◽  
...  
Keyword(s):  
Copy Number ◽  
Cancer Survival ◽  
Survival Rates ◽  
Cancer Prognosis ◽  
Disease Outcomes ◽  
Distinct Disease ◽  
Cancer Types ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Pan Cancer

AbstractSurvival rates of cancer patients vary widely within and between malignancies. While genetic aberrations are at the root of all cancers, individual genomic features cannot explain these distinct disease outcomes. In contrast, intra-tumour heterogeneity (ITH) has the potential to elucidate pan-cancer survival rates and the biology that drives cancer prognosis. Unfortunately, a comprehensive and effective framework to measure ITH across cancers is missing. Here, we introduce a scalable measure of chromosomal copy number heterogeneity (CNH) that predicts patient survival across cancers. We show that the level of ITH can be derived from a single-sample copy number profile. Using gene-expression data and live cell imaging we demonstrate that ongoing chromosomal instability underlies the observed heterogeneity. Analysing 11,534 primary cancer samples from 37 different malignancies, we find that copy number heterogeneity can be accurately deduced and predicts cancer survival across tissues of origin and stages of disease. Our results provide a unifying molecular explanation for the different survival rates observed between cancer types.

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