Genetic alterations associated with multiple primary malignancies
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA693811 | ENA |
REPOSITORIES: ENA
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Project description:To test the long-term effects of lack of Dnmt3a on mouse HSCs, we established a cohort of lethally irradiated mice transplanted with Dnmt3a-KO or WT HSC control cells. Dnmt3a deletion in purified HSCs transplanted alone leads to an array of hematologic disorders that models the spectrum of disorders seen in human malignancies. We investigated DNA methylation alterations in disease and control mice by RRBS. We generated an average of 23.81 million reads per sample (18.97 - 31.67 million) of which an average of 18.07 million could be mapped to the mm9 genome (2.78 - 26.42 million). We achieved an average CpG coverage depth of 31.79-fold (8.09 - 47.44-fold) and average bisulfite conversion efficiency of 99.91% (99.87 - 99.95%). Reduced representation bisulfite sequencing of cells using Illumina HiSeq 2000 and 2500
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Project description:Background: Hodgkin lymphoma (HL) and testicular cancer (TC) survivors have an increased risk of developing second primary bowel malignancies (both colorectal cancer (CRC) and small bowel adenocarcinoma (SBA)). We aimed to determine differences in genetic characteristics of second primary bowel malignancies and primary bowel malignancies.
Methods: Copy number aberrations (CNAs) generated by low-coverage whole-genome sequencing (WGS) were collected from previous studies of second primary CRC (HL survivors, n=39), primary CRC (n=90) and primary SBA (n=14). In addition, seven new samples of second primary SBA from HL (n=3) or TC (n=5) survivors, identified in the Dutch national pathology registry (PALGA), were available for low-coverage WGS.
Results: Overall, CNA patterns observed in second primary bowel malignancies were similar to those in primary bowel malignancies. Losses of 21q22.2 were observed more frequently (p=0.057) in second primary CRC compared with primary CRC, while in second primary SBA gains of 10p15.3-15.1 and losses of 18q12.1-23 were significantly more frequent detected compared with primary SBA.
Conclusions: Second primary CRC and SBA show comparable genome wide CNAs to those in primary CRC and SBA, respectively. This suggests that part of the pathogenesis of second primary tumours in these cancer survivors is similar to those of primary CRC and SBA in general, despite the exposure to DNA damaging treatments received for earlier HL and TC.
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Project description:Multiple myeloma is a plasma cell malignancy of the bone marrow. Despite therapeutic advances, multiple myeloma remains incurable and better risk stratification as well as new therapies are therefore highly needed. The proteome of multiple myeloma has not been systematically assessed before and holds the potential to uncover additional insight into disease biology and improved prognostic models. Here, we provide a comprehensive multi-omics analysis including deep tandem mass tags (TMT)-based quantitative global (phospho)proteomics, RNA sequencing and nanopore DNA sequencing of 138 primary patient-derived plasma cell malignancies encompassing treatment-naive multiple myeloma patients treated in clinical trials, plasma cell leukemia, and the premalignancy monoclonal gammopathy of undetermined significance (MGUS), as well as healthy controls. We found that the (phospho)proteome of malignant plasma cells is highly deregulated as compared to healthy plasma cells and is both defined by chromosomal alterations and extensive post-transcriptional regulation. A protein signature was identified that is associated with aggressive disease and more predictive for outcome than cytogenetic-based risk assessment in newly diagnosed multiple myeloma. Integration with functional genetics and single-cell sequencing revealed generally and genetic subtype-specific deregulated proteins and pathways in plasma cell malignancies that include novel potential targets for (immuno)therapies. These findings provide new insights in the biology of multiple myeloma and will be a unique resource for investigating new therapeutic approaches.
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Project description:Multiple myeloma is a plasma cell malignancy of the bone marrow. Despite therapeutic advances, multiple myeloma remains incurable and better risk stratification as well as new therapies are therefore highly needed. The proteome of multiple myeloma has not been systematically assessed before and holds the potential to uncover additional insight into disease biology and improved prognostic models. Here, we provide a comprehensive multi-omics analysis including deep tandem mass tag (TMT)-based quantitative global (phospho)proteomics, RNA sequencing and nanopore DNA sequencing of 138 primary patient-derived plasma cell malignancies encompassing treatment-naive multiple myeloma patients treated in clinical trials, plasma cell leukemia, and the premalignancy monoclonal gammopathy of undetermined significance (MGUS), as well as healthy controls. We found that the (phospho)proteome of malignant plasma cells is highly deregulated as compared to healthy plasma cells and is both defined by chromosomal alterations and extensive post-transcriptional regulation. A protein signature was identified that is associated with aggressive disease and more predictive for outcome than cytogenetic-based risk assessment in newly diagnosed multiple myeloma. Integration with functional genetics and single-cell sequencing revealed generally and genetic subtype-specific deregulated proteins and pathways in plasma cell malignancies that include novel potential targets for (immuno)therapies. These findings provide new insights in the biology of multiple myeloma and will be a unique resource for investigating new therapeutic approaches.
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Project description:To test the long-term effects of lack of Dnmt3a on mouse HSCs, we established a cohort of lethally irradiated mice transplanted with Dnmt3a-KO or WT HSC control cells. Dnmt3a deletion in purified HSCs transplanted alone leads to an array of hematologic disorders that models the spectrum of disorders seen in human malignancies. We investigated DNA methylation alterations in disease and control mice by RRBS. We generated an average of 23.81 million reads per sample (18.97 - 31.67 million) of which an average of 18.07 million could be mapped to the mm9 genome (2.78 - 26.42 million). We achieved an average CpG coverage depth of 31.79-fold (8.09 - 47.44-fold) and average bisulfite conversion efficiency of 99.91% (99.87 - 99.95%).
2014-12-08 | GSE60264 | GEO