Title |
Clonal dynamics towards the development of venetoclax resistance in chronic lymphocytic leukemia
|
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Published in |
Nature Communications, February 2018
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DOI | 10.1038/s41467-018-03170-7 |
Pubmed ID | |
Authors |
Carmen D. Herling, Nima Abedpour, Jonathan Weiss, Anna Schmitt, Ron Daniel Jachimowicz, Olaf Merkel, Maria Cartolano, Sebastian Oberbeck, Petra Mayer, Valeska Berg, Daniel Thomalla, Nadine Kutsch, Marius Stiefelhagen, Paula Cramer, Clemens-Martin Wendtner, Thorsten Persigehl, Andreas Saleh, Janine Altmüller, Peter Nürnberg, Christian Pallasch, Viktor Achter, Ulrich Lang, Barbara Eichhorst, Roberta Castiglione, Stephan C. Schäfer, Reinhard Büttner, Karl-Anton Kreuzer, Hans Christian Reinhardt, Michael Hallek, Lukas P. Frenzel, Martin Peifer |
Abstract |
Deciphering the evolution of cancer cells under therapeutic pressure is a crucial step to understand the mechanisms that lead to treatment resistance. To this end, we analyzed whole-exome sequencing data of eight chronic lymphocytic leukemia (CLL) patients that developed resistance upon BCL2-inhibition by venetoclax. Here, we report recurrent mutations in BTG1 (2 patients) and homozygous deletions affecting CDKN2A/B (3 patients) that developed during treatment, as well as a mutation in BRAF and a high-level focal amplification of CD274 (PD-L1) that might pinpoint molecular aberrations offering structures for further therapeutic interventions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 25% |
France | 2 | 17% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 42% |
Scientists | 5 | 42% |
Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 168 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 17% |
Researcher | 28 | 17% |
Student > Master | 11 | 7% |
Student > Doctoral Student | 8 | 5% |
Other | 8 | 5% |
Other | 28 | 17% |
Unknown | 57 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 22% |
Biochemistry, Genetics and Molecular Biology | 34 | 20% |
Agricultural and Biological Sciences | 16 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
Immunology and Microbiology | 5 | 3% |
Other | 12 | 7% |
Unknown | 58 | 35% |