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- Gatto, Francesco, 1987, et al.
(författare)
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Systematic analysis of overall survival and interactions between tumor mutations and drug treatment
- 2016
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Ingår i: Journal of Hematology and Oncology. - : Springer Science and Business Media LLC. - 1756-8722. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Few exceptional responses in cancer treatment were attributed to a genetic predisposition of the tumor. Methods: We analyzed a cohort of 3105 patients from 12 different cancer types and systematically sought the existence of a correlation between overall survival and the interaction of 21 antineoplastic treatments with 6 tumor mutations. Results: We identified a single significant correlation resulting in increased overall survival from temozolomide in lower-grade glioma with IDH1 R132H mutations. The trend could not be attributed to either the treatment or the mutation alone. Univariate and multivariate Cox regression demonstrated that this interaction stood as an independent prognostic predictor of survival. Conclusion: Our results suggest infrequent instances of exceptional responses ascribable to tumor genomics yet corroborate the existence of an interaction of temozolomide with IDH1 mutations in lower-grade glioma.
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- Karrman, Kristina, et al.
(författare)
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Deep sequencing and SNP array analyses of pediatric T-cell acute lymphoblastic leukemia reveal NOTCH1 mutations in minor subclones and a high incidence of uniparental isodisomies affecting CDKN2A
- 2015
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Ingår i: Journal of Hematology & Oncology. - : Springer Science and Business Media LLC. - 1756-8722. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- Background: Pediatric T-cell acute lymphoblastic leukemia (T-ALL) is a genetically heterogeneous disease that arises in a multistep fashion through acquisition of several genetic aberrations, subsequently giving rise to a malignant, clonal expansion of T-lymphoblasts. The aim of the present study was to identify additional as well as cooperative genetic events in T-ALL.Methods: A population-based pediatric T-ALL series comprising 47 cases was investigated by SNP array and deep sequencing analyses of 75 genes, in order to ascertain pathogenetically pertinent aberrations and to identify cooperative events.Results: The majority (92%) of cases harbored copy number aberrations/uniparental isodisomies (UPIDs), with a median of three changes (range 0-11) per case. The genes recurrently deleted comprised CDKN2A, CDKN2B, LEF1, PTEN, RBI, and STIL. No case had a whole chromosome UPID; in fact, literature data show that this is a rare phenomenon in T-ALL. However, segmental UPIDs (sUPIDs) were seen in 42% of our cases, with most being sUPID9p that always were associated with homozygous CDKN2A deletions, with a heterozygous deletion occurring prior to the sUPID9p in all instances. Among the 75 genes sequenced, 14 (19%) were mutated in 28 (72%) of 39 analyzed cases. The genes targeted are involved in signaling transduction, epigenetic regulation, and transcription. In some cases, NOTCH1 mutations were seen in minor subclones and lost at relapse; thus, such mutations can be secondary events.Conclusions: Deep sequencing and SNP array analyses of T-ALL revealed lack of wUPIDs, a high proportion of sUPID9p targeting CDKN2A, NOTCH1 mutations in subclones, and recurrent mutations of genes involved in signaling transduction, epigenetic regulation, and transcription.
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- Marincevic-Zuniga, Yanara, et al.
(författare)
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Transcriptome sequencing in pediatric acute lymphoblastic leukemia identifies fusion genes associated with distinct DNA methylation profiles
- 2017
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Ingår i: Journal of Hematology & Oncology. - : Springer Science and Business Media LLC. - 1756-8722. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- Background: Structural chromosomal rearrangements that lead to expressed fusion genes are a hallmark of acute lymphoblastic leukemia (ALL). In this study, we performed transcriptome sequencing of 134 primary ALL patient samples to comprehensively detect fusion transcripts. Methods: We combined fusion gene detection with genome-wide DNA methylation analysis, gene expression profiling, and targeted sequencing to determine molecular signatures of emerging ALL subtypes. Results: We identified 64 unique fusion events distributed among 80 individual patients, of which over 50% have not previously been reported in ALL. Although the majority of the fusion genes were found only in a single patient, we identified several recurrent fusion gene families defined by promiscuous fusion gene partners, such as ETV6, RUNX1, PAX5, and ZNF384, or recurrent fusion genes, such as DUX4-IGH. Our data show that patients harboring these fusion genes displayed characteristic genome-wide DNA methylation and gene expression signatures in addition to distinct patterns in single nucleotide variants and recurrent copy number alterations. Conclusion: Our study delineates the fusion gene landscape in pediatric ALL, including both known and novel fusion genes, and highlights fusion gene families with shared molecular etiologies, which may provide additional information for prognosis and therapeutic options in the future.
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- Mer, Arvind Singh, et al.
(författare)
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Expression levels of long non-coding RNAs are prognostic for AML outcome
- 2018
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Ingår i: Journal of Hematology & Oncology. - : BIOMED CENTRAL LTD. - 1756-8722. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Background: Long non-coding RNA (lncRNA) expression has been implicated in a range of molecular mechanisms that are central in cancer. However, lncRNA expression has not yet been comprehensively characterized in acute myeloid leukemia (AML). Here, we assess to what extent lncRNA expression is prognostic of AML patient overall survival (OS) and determine if there are indications of lncRNA-based molecular subtypes of AML. Methods: We performed RNA sequencing of 274 intensively treated AML patients in a Swedish cohort and quantified lncRNA expression. Univariate and multivariate time-to-event analysis was applied to determine association between individual lncRNAs with OS. Unsupervised statistical learning was applied to ascertain if lncRNA-based molecular subtypes exist and are prognostic. Results: Thirty-three individual lncRNAs were found to be associated with OS (adjusted p value < 0.05). We established four distinct molecular subtypes based on lncRNA expression using a consensus clustering approach. LncRNA-based subtypes were found to stratify patients into groups with prognostic information (p value < 0.05). Subsequently, lncRNA expression-based subtypes were validated in an independent patient cohort (TCGA-AML). LncRNA subtypes could not be directly explained by any of the recurrent cytogenetic or mutational aberrations, although associations with some of the established genetic and clinical factors were found, including mutations in NPM1, TP53, and FLT3. Conclusion: LncRNA expression-based four subtypes, discovered in this study, are reproducible and can effectively stratify AML patients. LncRNA expression profiling can provide valuable information for improved risk stratification of AML patients.
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