TY - GEN
T1 - Novel Driver Synonymous Mutations in the Coding Regions of GCB Lymphoma Patients Improve the Transcription Levels of BCL2
AU - Shami-Schnitzer, Ofek
AU - Zafir, Zohar
AU - Tuller, Tamir
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Synonymous mutations inside the coding region which do not alter the amino acid chain are usually considered to have no effect on the protein. However, in recent years it was shown that they may regulate expression levels via various mechanisms, suggesting that they may also play an important role in tumorigenesis. In the current study, we suggest a pipeline for detecting cancerous synonymous mutations that affect the cancer fitness via regulation of transcription. We demonstrate our approach by reporting cases where cancerous synonymous mutations inside the coding regions of the gene BCL2 are under selection in germinal center B-cell (GCB) lymphoma patients. We provide various lines of evidence that suggest that these mutations contribute to the cancer cell survival via improving the expression levels of the anti-apoptotic BCL2 gene.
AB - Synonymous mutations inside the coding region which do not alter the amino acid chain are usually considered to have no effect on the protein. However, in recent years it was shown that they may regulate expression levels via various mechanisms, suggesting that they may also play an important role in tumorigenesis. In the current study, we suggest a pipeline for detecting cancerous synonymous mutations that affect the cancer fitness via regulation of transcription. We demonstrate our approach by reporting cases where cancerous synonymous mutations inside the coding regions of the gene BCL2 are under selection in germinal center B-cell (GCB) lymphoma patients. We provide various lines of evidence that suggest that these mutations contribute to the cancer cell survival via improving the expression levels of the anti-apoptotic BCL2 gene.
UR - http://www.scopus.com/inward/record.url?scp=85097832776&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64511-3_11
DO - 10.1007/978-3-030-64511-3_11
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AN - SCOPUS:85097832776
SN - 9783030645106
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 108
EP - 118
BT - Mathematical and Computational Oncology - Second International Symposium, ISMCO 2020, 2020, Proceedings
A2 - Bebis, George
A2 - Alekseyev, Max
A2 - Cho, Heyrim
A2 - Gevertz, Jana
A2 - Rodriguez Martinez, Maria
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Symposium on Mathematical and Computational Oncology, ISMCO 2020
Y2 - 8 October 2020 through 10 October 2020
ER -
