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Characterization of the mutational profile of 11 diffuse large B-cell lymphoma cell lines.


Juskevicius, Darius; Müller, Anne; Hashwah, Hind; Lundberg, Pontus; Tzankov, Alexandar; Menter, Thomas (2017). Characterization of the mutational profile of 11 diffuse large B-cell lymphoma cell lines. Leukemia & Lymphoma:Epub ahead of print.

Abstract

Investigation of cancer cell lines is important for oncology research to characterize and understand mechanisms of cellular signaling and survival strategies in cancer. We analyzed the mutational profile of 11 diffuse large B-cell lymphoma (DLBCL) cell lines using a customized high throughput sequencing panel. We compared our data to previously published mutation data to better characterize these cell lines and establish consensus on the mutational status of some functionally relevant genes. With our targeted sequencing approach we detected 61 somatic mutations. The most frequently affected gene was TP53. MYD88 mutations were only seen in activated B-cell like cell lines. Overall comparison across different datasets revealed that just around 38% of mutations are reliable and can be validated by at least two independent observations whereas 24% of mutations could not be validated. Our analysis reveals considerable discrepancies regarding the mutational profile of some well-established cell lines.

Abstract

Investigation of cancer cell lines is important for oncology research to characterize and understand mechanisms of cellular signaling and survival strategies in cancer. We analyzed the mutational profile of 11 diffuse large B-cell lymphoma (DLBCL) cell lines using a customized high throughput sequencing panel. We compared our data to previously published mutation data to better characterize these cell lines and establish consensus on the mutational status of some functionally relevant genes. With our targeted sequencing approach we detected 61 somatic mutations. The most frequently affected gene was TP53. MYD88 mutations were only seen in activated B-cell like cell lines. Overall comparison across different datasets revealed that just around 38% of mutations are reliable and can be validated by at least two independent observations whereas 24% of mutations could not be validated. Our analysis reveals considerable discrepancies regarding the mutational profile of some well-established cell lines.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Molecular Cancer Research
07 Faculty of Science > Institute of Molecular Cancer Research
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:18 October 2017
Deposited On:25 Oct 2017 14:18
Last Modified:19 Mar 2018 08:52
Publisher:Informa Healthcare
ISSN:1026-8022
OA Status:Closed
Publisher DOI:https://doi.org/10.1080/10428194.2017.1387903
PubMed ID:29043881

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