| 1. |
- Bin Kaderi, Mohamed Arifin, 1978-
(författare)
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Assessment of Novel Molecular Prognostic Markers in Chronic Lymphocytic Leukemia
- 2010
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The clinical course of chronic lymphocytic leukemia (CLL) is highly heterogeneous, which has prompted the search for biomarkers that can predict prognosis in this disease. The IGHV gene mutation status and certain genomic aberrations have been identified as reliable prognostic markers of clinical outcome for this disorder. However, the search for more feasible prognostic markers in CLL is still being pursued. Recently, certain single nucleotide polymorphisms (SNPs) in the GNAS1, BCL2 and MDM2 genes and the RNA expression levels of the LPL, ZAP70, TCL1, CLLU1 and MCL1 genes were suggested as novel prognostic markers in CLL. In papers I-III, we performed genotyping analyses of the GNAS1 T393C, BCL2 -938C>A and MDM2 SNP309 polymorphisms in 268-418 CLL patients and related the genotypes with clinical data. Association studies between the polymorphisms and established prognostic markers (i.e. IGHV mutation status, genomic aberrations, CD38 expression) were also performed. Our studies did not find any significant relationship between these SNPs with either clinical outcome or other known prognostic markers in CLL. In paper IV, we measured the RNA expression levels of LPL, ZAP70, TCL1, CLLU1 and MCL1 in 252 CLL cases and correlated these levels with clinical outcome. Here, we verified that high expression of all these RNA-based markers, except MCL1, were associated with an unfavourable prognosis. We also confirmed a close relationship between IGHV mutation status and the RNA-based markers, especially for LPL and CLLU1 expression. Among the RNA-based markers, multivariate analysis revealed LPL expression as the strongest independent prognostic marker for overall survival and time to treatment. Furthermore, the RNA-based markers could add further prognostic information to established markers in subgroups of patients, with LPL expression status giving the most significant results. In summary, data from papers I-III could not verify the GNAS1 T393C, BCL2 -938C>A and MDM2 SNP309 polymorphisms as prognostic markers in CLL. Future SNP markers must hence be confirmed in large, independent cohorts before being proposed as prognostic marker in CLL. In paper IV, we conclude that LPL expression appears to be the strongest among the RNA-based markers for CLL prognostication. Further efforts to standardize LPL quantification are required before it can be applied in the clinical laboratory to predict clinical outcome in this disease.
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| 2. |
- Cahill, Nicola, 1983-
(författare)
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Molecular Genetic and DNA Methylation Profiling of Chronic Lymphocytic Leukaemia : A Focus on Divergent Prognostic Subgroups and Subsets
- 2012
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Advancements in prognostication have improved the subdivision of chronic lymphocytic leukaemia (CLL) into diverse prognostic subgroups. In CLL, IGHV unmutated and IGHV3-21 genes are associated with a poor-prognosis, conversely, IGHV mutated genes with a favourable outcome. The finding of multiple CLL subsets expressing ‘stereotyped’ B-cell receptors (BCRs) has suggested a role for antigen(s) in leukemogenesis. Patients belonging to certain stereotyped subsets share clinical and biological characteristics, yet limited knowledge exists regarding the genetic and epigenetic events that may influence their clinical behaviour. This thesis aimed to, further investigate Swedish IGHV3-21-utilising patients, screen for genetic and DNA-methylation events in CLL subgroups/subsets and study DNA methylation over time and within different CLL compartments. In paper I, IGHV gene sequencing of 337 CLL patients from a Swedish population-based cohort revealed a lower (6.5%) IGHV3-21 frequency relative to previous Swedish hospital-based studies (10.1-12.7%). Interestingly, this frequency remained higher compared to other Western CLL (2.6-4.1%) hospital-based cohorts. Furthermore, we confirmed the poor-outcome for IGHV3-21 patients to be independent of mutational and stereotypy status. In paper II, genomic events in stereotyped IGHV3-21-subset #2, IGHV4-34-subset #4 and subset #16 and their non-stereotyped counterparts were investigated via SNP arrays (n=101). Subset #2 and non-subset #2 carried a higher frequency of events compared to subset #4. A high frequency of del(11q) was evident in IGHV3-21 patients particularly subset #2 cases, which may partially explain their poor-prognosis. In contrast, the lower prevalence of aberrations and absence of poor-prognostic alterations may reflect the inherent low-proliferative disease seen in subset #4 cases. In papers III and IV, differential methylation profiles in IGHV mutated and IGHV unmutated patients were identified using DNA-methylation microarrays. CLL prognostic genes (CLLU1, LPL), tumor-suppressor genes (TSGs) (ABI3, WISP3) and genes belonging to TGF-ß and NF-kB/TNFR1 pathways were differentially methylated between the subgroups. Additionally, the re-expression of methylated TSGs by use of methyl and deacetyl inhibitors was demonstrated. Interestingly, analysis of patient-paired diagnostic/follow-up samples and patient-matched lymph node (LN) and peripheral blood (PB) cases revealed global DNA methylation to be relatively stable over time and remarkably similar within the different compartments. Altogether, this thesis provides insight into the aberrant genomic and DNA methylation events in divergent CLL subgroups. Moreover this thesis helps distinguish the extent to which DNA methylation changes with respect to time and microenvironment in CLL.
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| 3. |
- Bhoi, Sujata
(författare)
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Prognostic markers and DNA methylation profiling in lymphoid malignancies
- 2017
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- In recent years, great progress has been achieved towards identifying novel biomarkers in lymphoid malignancies, including chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL), at the genomic, transcriptomic and epigenomic level for accurate risk-stratification and prediction of treatment response. In paper I, we validated the prognostic relevance of a recently proposed RNA-based marker in CLL, UGT2B17, and analyzed its expression levels in 253 early-stage patients. Besides confirming its prognostic impact in multivariate analysis, we could identify 30% of IGHV-mutated CLL (M-CLL) cases with high expression and poor outcome, which otherwise lacked any other poor-prognostic marker. In paper II, we investigated the prognostic impact of a previously reported 5 CpG signature that divides CLL patients into three clinico-biological subgroups, namely naive B-cell-like CLL (n-CLL), memory B-cell-like CLL (m-CLL) and intermediate CLL (i-CLL), in 135 CLL patients using pyrosequencing. We validated the signature as an independent marker in multivariate analysis and further reported that subset #2 cases were predominantly classified as i-CLL, although displaying a similar outcome as n-CLL. In paper III, we investigated the methylation status and expression level of miR26A1 in both CLL (n=70) and MCL (n=65) cohorts. High miR26A1 methylation was associated with IGHV-unmutated (U-CLL) and shorter overall survival (OS) in CLL, while it was uniformly hypermethylated in MCL. Furthermore, overexpression of miR26A1 resulted in significant downregulation of EZH2 that in turn led to increased apoptosis. In paper IV, we performed DNA methylation profiling in 176 CLL cases assigned to one of 8 major stereotyped subsets (#1-8) in relation to non-subset CLL (n=325) and different normal B-cell subpopulations. Principal component analysis of subset vs. non-subset CLL revealed that U-CLL and M-CLL subsets generally clustered with n-CLL and m-CLL, respectively, indicating common cellular origins. In contrast, subset #2 emerged as the first defined member of the i-CLL subgroup, which in turn alludes to a distinct cellular origin for subset #2 and i-CLL patients. Altogether, this thesis confirms the prognostic significance of RNA and epigenetic-based markers in CLL, provides insight into the mechanism of miRNA deregulation in lymphoid malignancies and further unravels the DNA methylation landscape in stereotyped subsets of CLL.
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| 4. |
- Sevov, Marie
(författare)
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RNA-based Prognostic Markers in Chronic Lymphocytic Leukemia
- 2010
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Chronic lymphocytic leukemia (CLL) is a heterogeneous disease where a significant proportion of patients will develop an aggressive disease. Today, the mutational status of the immunoglobulin heavy variable (IGHV) genes is one of the strongest prognostic markers in CLL, where unmutated IGHV genes correlate with poor outcome. In addition, IGHV3-21 gene usage is associated with poor prognosis independent of mutational status. Recently, several genes were shown to be differently expressed between IGHV mutated and unmutated CLL and were suggested as prognostic markers. The aim of this thesis was to examine the applicability of these RNA-based prognostic markers in CLL. In papers I and II, the prognostic significance of LPL and TCL1A mRNA expression in CLL was investigated in 140 and 144 patients, respectively. High expression was found to be associated with inferior clinical outcome for both markers. However, CLL cases with mutated IGHV3-21 genes displayed low levels of LPL expression, indicating that LPL cannot identify this poor-risk patient group. In contrast, high TCL1A expression was detected in all IGHV3-21 cases. To elucidate the functionality of LPL in CLL, LPL lipase activity was measured in 33 cases. The lipase activity was found to be invariably low, implying an alternative function for LPL in CLL. In paper III, a comprehensive analysis of five RNA-based markers (LPL, TCL1A, ZAP70, CLLU1 and MCL1) was performed in 252 CLL patients. All RNA-based markers except MCL1 predicted clinical outcome, with LPL being the strongest. Moreover, LPL expression independently predicted overall survival when adjusted for established markers. All of the RNA-based markers added additional prognostic information to established markers, e.g. high LPL expression predicted an inferior outcome in patients with mutated IGHV genes or good-risk cytogenetics. For clinical application, over time stability of prognostic markers is crucial. In paper IV, the expression of LPL, TCL1A, ZAP70 and MCL1 was investigated in samples taken at diagnosis and at a follow-up of seven years in 104 CLL patients. LPL was found to be the most stable marker, displaying high correlation between the sequential samples, whereas ZAP70 and MCL1 varied significantly. TCL1A expression increased at follow-up, which may indicate disease progression as TCL1A promotes cell survival. In summary, this thesis highlights the applicability of RNA-based markers in CLL prognostication, both as single markers or in combination with established markers. In particular, LPL was shown to be the strongest RNA-based marker in terms of prognostic strength and stability.
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