ID
45191
Beschrijving
Principal Investigator: Riccardo Dalla-Favera, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA MeSH: Chronic Lymphocytic Leukemia,Richter Syndrome https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000364 *Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation* The pathogenesis of chronic lymphocytic leukemia (CLL), the most common leukemia in adults, is still largely unknown since the full spectrum of genetic lesions that are present in the CLL genome, and therefore the number and identity of dysregulated cellular pathways, have not been identified. By combining next-generation sequencing and copy number analysis, we show here that the typical CLL coding genome contains less than 20 clonally represented gene alterations/case, including predominantly non-silent mutations and fewer copy number aberrations. These analyses led to the discovery of several genes not previously known to be altered in CLL. While most of these genes were affected at low frequency in an expanded CLL screening cohort, mutational activation of NOTCH1, observed in 8.3% of CLL at diagnosis, was detected at significantly higher frequency during disease progression toward Richter transformation (31.0%) as well as in chemorefractory CLL (20.8%). Consistent with the association of NOTCH1 mutations with clinically aggressive forms of the disease, NOTCH1 activation at CLL diagnosis emerged as an independent predictor of poor survival. These results provide initial data on the complexity of the CLL coding genome and identify a dysregulated pathway of diagnostic and therapeutic relevance. *Genetic Lesions associated with Chronic Lymphocytic Leukemia transformation to Richter Syndrome* Richter syndrome (RS) derives from the rare transformation of chronic lymphocytic leukemia (CLL) into an aggressive lymphoma, most commonly of the diffuse large B cell type (DLBCL). The molecular pathogenesis of RS is only partially understood. By combining whole-exome sequencing and copy-number analysis of 9 CLL-RS pairs and of an extended panel of 43 RS cases, we show that this aggressive disease typically arises from the predominant CLL clone by acquiring an average of ~20 genetic lesions/case. RS lesions are heterogeneous in terms of load and spectrum among patients, and include those involved in CLL progression and chemorefractoriness (TP53 disruption and NOTCH1 activation) as well as some not previously implicated in CLL or RS pathogenesis. In particular, disruption of the CDKN2A/B cell cycle regulator locus is associated with ~30% of RS cases. Finally, we report that the genomic landscape of RS is significantly different from that of de novo DLBCL, suggesting that they represent distinct disease entities. These results provide insights into RS pathogenesis, and identify dysregulated pathways of potential diagnostic and therapeutic relevance.
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Versies (2)
- 19-08-22 19-08-22 - Simon Heim
- 12-10-22 12-10-22 - Adrian Schulz
Houder van rechten
Riccardo Dalla-Favera, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
Geüploaded op
12 oktober 2022
DOI
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Licentie
Creative Commons BY 4.0
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dbGaP phs000364 Genome-Wide Analysis of Chronic Lymphocytic Leukemia
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This data table contains subject IDs and consent group information.
- This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table includes variables indicating the age and sex of the subject.
- This sample attributes table includes variables indicating the tumor/normal status, the body site where the sample was extracted, sample analyte type and histological type.
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Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This data table contains subject IDs and consent group information.
- This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table includes variables indicating the age and sex of the subject.
- This sample attributes table includes variables indicating the tumor/normal status, the body site where the sample was extracted, sample analyte type and histological type.
C0023434 (UMLS CUI [1,2])
C0023434 (UMLS CUI [2,1])
C0349631 (UMLS CUI [2,2])
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