Ariz Akhter

Upregulation of HLA-G in JEG-3 cells by dexamethasone and hydrocortisone.

BackgroundVarious reports suggest that HLA-G molecule plays an important role in feto-maternal interface, protecting the allogenic fetus from maternal immune attack. It is shown that steroid hormones may upregulate the HLA-G gene expression. In the present study, we have made an attempt to upregulate the HLA-G gene expression in a HLA-G+ve cell line (JEG-3) by using two glucocorticoids drugs, i.e., dexamethasone and hydrocortisone.MethodsChoriocarcinoma JEG-3 (HLA-G+ve), JAR (HLA-G−ve) and erythroleukemia K-562 (HLA-G−ve) cell lines were obtained from American Type Culture Collection. These cell lines were treated with glucocorticoids (dexamethasone and hydrocortisone). HLA-G gene transcription was determined by standard and real-time RT-PCR analysis, and protein expression was evaluated by both flow cytometry and Western blotting.ResultsDose-dependent increase in HLA-G mRNA and protein expression was observed in HLA-G+ve JEG-3 cells, while no expression was recorded in JAR and K-562 (HLA-G−ve) cell lines.ConclusionWe were able to upregulate HLA-G expression only in HLA-G+ve cell line. On the basis of our results, we hypothesize that the HLA-G gene expression can be upregulated only when the cell lines/cells have the basal expression and not in the cells that totally lack its expression. We have further hypothesized that these drugs may be used only in those women with recurrent miscarriages who show minimum basal expression level of HLA-G.

Concomitant high expression of Toll-like receptor (TLR) and B-cell receptor (BCR) signalling molecules has clinical implications in mantle cell lymphoma

Mantle cell lymphoma (MCL) is an aggressive disease with frequent relapse. Targeted therapies against B‐cell receptor (BCR) molecules have demonstrated improved outcomes in relapsed cases. However, clinical responses are slow and selective, with failure to attain complete remission in a significant subset of patients. Complex interaction of BCR signal transduction with toll‐like receptor (TLR) and other pathways in MCL remains unknown, thus averting progress in development of targeted therapies. We have performed detailed digital quantification of BCR/TLR signalling molecules and their effector pathways in a cohort (n = 81) of MCL patients and correlated these data with overall survival. Hierarchical clustering model based on BCR/TLR genes revealed two distinct (BCRhigh and BCRlow) subsets of patients (n = 32; 40%) with significant differences in expression (>1.5‐fold change; p < 0.05). Higher levels of BTK/SYK/BLNK/CARD11/PLCG signalosome and lower expression of MALT1/BCL10 genes suggested tonic pattern of BCR activation. Amplified expression of TLR6/TLR7/TLR9 was noted in concert with hyper‐responsiveness of BCR machinery. MYD88, a key TLR adaptor molecule, was not upregulated in any of these clusters, which may suggest a ‘cross‐talk’ between BCR and TLR pathways. In sync with BCR/TLR signalling, we recorded significantly enhanced expression of genes associated with NF‐kB pathway in BCRhigh subset of MCL patients. On univariate analysis, the BCRhigh patients showed a trend towards inferior clinical response to a standardized treatment protocol, compared with the BCRlow group (log rank, p = 0.043). In conclusion, we have identified hyperactive BCR/TLR signalling pathways and their effector downstream targets in a subset of MCL patients and associated it with poor clinical outcomes. Our study provides quantitative evidence at RNA expression level of possible concomitant collaboration between TLR and BCR signalling molecules in MCL. These data will provide further insights for future functional studies and, hence, development of targeted therapies for MCL patients. Copyright

CD10-positive mantle cell lymphoma: biologically distinct entity or an aberrant immunophenotype? Insight, through gene expression profile in a unique case series

Background Mantle cell lymphoma (MCL) is an aggressive disease with genetic heterogeneity and discrete clinical subtypes. MCL is rarely CD10 positive. These cases raise the question whether a subset of MCL may be germinal centre (GC) derived, and have distinct clinicopathological characteristics. Aims and methods A series of nine CD10-positive MCL cases is described herein. The clinicopathological and immunophenotypic features, immunoglobulin somatic hypermutation (SHM) status and gene expression profile (GEP) data are detailed. These features were compared with two independent sets (n=20, each) of CD10-negative MCL cases (controls), which were randomly selected from our institutional registry. Results GEP showed distinct expression of a GC signature in CD10-positive MCL cases with minimal impact on downstream signalling pathways. There were no significant differences in the clinicopathological features or clinical outcome between our CD10-positive and CD10-negative MCL cases. The frequency of SHM was comparable with established data. Conclusions This study provides convincing evidence that CD10 expression is related to a distinct GC signature in MCL cases, but without clinical or biological implications.

Acute myeloid leukaemia: expression of MYC protein and its association with cytogenetic risk profile and overall survival.

Acute myeloid leukaemia (AML) is a clinically aggressive disease with marked genetic heterogeneity. Cytogenetic abnormalities provide the basis for risk stratification into clinically favourable, intermediate, and unfavourable groups. There are additional genetic mutations, which further influence the prognosis of patients with AML. Most of these result in molecular aberrations whose downstream target is MYC. It is therefore logical to study the relationship between MYC protein expression and cytogenetic risk groups. We studied MYC expression by immunohistochemistry in a large cohort (n = 199) of AML patients and correlated these results with cytogenetic risk profile and overall survival (OS). We illustrated differential expression of MYC protein across various cytogenetic risk groups (p = 0.03). Highest expression of MYC was noted in AML patients with favourable cytogenetic risk group. In univariate analysis, MYC expression showed significant negative influence of OS in favourable and intermediate cytogenetic risk group (p = 0.001). Interestingly, MYC expression had a protective effect in the unfavourable cytogenetic risk group. In multivariate analysis, while age and cytogenetic risk group were significant factors influencing survival, MYC expression by immunohistochemistry methods also showed some marginal impact (p = 0.069). In conclusion, we have identified differential expression of MYC protein in relation to cytogenetic risk groups in AML patients and documented its possible impact on OS in favourable and intermediate cytogenetic risk groups. These preliminary observations mandate additional studies to further investigate the routine clinical use of MYC protein expression in AML risk stratification. Copyright

PARP1 expression in mantle cell lymphoma: the utility of PARP1 immunohistochemistry and its relationship with markers of DNA damage.

Mantle cell lymphoma (MCL) is an aggressive disease with poor overall survival, attributable in part to frequent defects of the DNA repair genes. In such malignancies, additional inhibition of the ubiquitous DNA damage repair protein, poly‐ADP ribose polymerase‐1 (PARP1) has shown enhanced cytotoxicity (so‐called synthetic lethality). We studied PARP1 expression in a series of clinical cases of MCL, with the secondary aim to ascertain the relationship between PARP1 expression and DNA repair gene expression (namely ATM and p53) by immunohistochemical methods. We also examined the relationship between PARP1 expression and the well‐established prognostic biomarker Ki‐67, in addition to correlating PARP1 expression with the overall survival. From amongst our series of 79 unselected cases of MCL, we detected PARP1 expression in all but two cases with variable intensity. We also noted correlations between PARP1 expression and ATM and p53 expression. As described in previous studies, we identified a significant survival difference on the basis of Ki‐67 and p53 expression. When digital H‐score analysis of PARP1 expression was performed, there was a distinct survival advantage noted in patients with lower levels of expression. When our biomarker data were assessed by Cox regression, furthermore, the dominant effects of p53 and PARP1 expression were highlighted. Our data support the need for further research into the potential utility of PARP1 as a biomarker in MCL and for the potential direction of future PARP1 inhibitor‐targeted therapy studies. Copyright

Protein Expression for Novel Prognostic Markers (Cyclins D1, D2, D3, B1, B2, ITGβ7, FGFR3, PAX5) Correlate With Previously Reported Gene Expression Profile Patterns in Plasma Cell Myeloma.

Among plasma cell myeloma (PCM) patients, gene expression profiling (GEP)-based molecular classification has proven to be an independent predictor of survival, after autologous stem cell transplantation. However, GEP has limited routine clinical applicability given its complex methodology, high cost, and limited availability in clinical laboratories. In this study, we have evaluated biomarkers identified from GEP discoveries, utilizing immunohistochemistry (IHC) platform in a cohort of PCM patients. IHC staining for cyclins B1, B2, D1, D2, D3, FGFR3, PAX5, and integrin &bgr;7 (ITG&bgr;7) was performed on the bone marrow biopsies of 93 newly diagnosed PCM patients. Expression of FGFR3 was noted in 10 (11%) samples correlating completely with t(4;14)(p16;q32) results (P<0.001); however, the association between FGFR3 and cyclin D2 expression was not significant (P=0.14). ITG&bgr;7 expression was present in 9/93 (9%) patients and all these samples also demonstrated upregulated expression of cyclin D2 (P=0.014). Expression of cyclins D1, D2, and D3 was variable in this cohort. Positive protein expression of cyclin D1 was noted in 30/93 (32%), D2 in 17/93 (18%), and D3 in 5/93 (5%) samples. Coexpression of cyclins D1 and D2 was observed in 13/93 (14%) samples, whereas 28 (30%) samples were negative for all the 3 cyclin D proteins. Cyclin B1 was not expressed in any sample, despite adequate staining in positive controls. Cyclin B2 was expressed in 33/93 (35%) and PAX5 protein was noted in 7/93 (8%) samples. In summary, we have demonstrated that mRNA-based prognostic markers can be detected by routine IHC in decalcified bone marrow samples. This approach may provide a useful tool for the wider adoption of prognostic makers for risk stratification of PCM patients. We anticipate that such an approach might allow patients with high-risk immunoprofiles to be considered for other potential novel therapeutic agents, potentially sparing some patients the toxicity of stem cell transplant.

A bio-clinical prognostic model using MYC and BCL2 predicts outcome in relapsed/refractory diffuse large B-cell lymphoma

The objective of this study was to create a bioclinical model, based on clinical and molecular predictors of event-free and overall survival for relapsed/refractory diffuse large B-cell lymphoma patients treated on the Canadian Cancer Trials Group (CCTG) LY12 prospective study. In 91 cases, sufficient histologic material was available to create tissue microarrays and perform immunohistochemistry staining for CD10, BCL6, MUM1/IRF4, FOXP1, LMO2, BCL2, MYC, P53 and phosphoSTAT3 (pySTAT3) expression. Sixty-seven cases had material sufficient for fluorescent in situ hybridization (FISH) for MYC and BCL2. In addition, 97 formalin-fixed, paraffin-embedded tissue samples underwent digital gene expression profiling (GEP) to evaluate BCL2, MYC, P53, and STAT3 expression, and to determine cell-of-origin (COO) using the Lymph2Cx assay. No method of determining COO predicted event-free survival (EFS) or overall survival (OS). Factors independently associated with survival outcomes in multivariate analysis included primary refractory disease, elevated serum lactate dehydrogenase (LDH) at relapse, and MYC or BCL2 protein or gene expression. A bioclinical score using these four factors predicted outcome with 3-year EFS for cases with 0–1 vs. 2–4 factors of 55% vs. 16% (P<0.0001), respectively, assessing MYC and BCL2 by immunohistochemistry, 46% vs. 5% (P<0.0001) assessing MYC and BCL2 messenger ribonucleic acid (mRNA) by digital gene expression, and 42% vs. 21% (P=0.079) assessing MYC and BCL2 by FISH. This proposed bioclinical model should be further studied and validated in other datasets, but may discriminate relapsed/refractory diffuse large B-cell lymphoma (DLBCL) patients who could benefit from conventional salvage therapy from others who require novel approaches. The LY12 study; clinicaltrials.gov Identifier: 00078949.

De Novo Acute Myeloid Leukemia in Adults: Suppression of MicroRNA-223 is Independent of LMO2 Protein Expression BUT Associate With Adverse Cytogenetic Profile and Undifferentiated Blast Morphology.

MicroRNA (MIR) signatures are critical to pathobiology and prognosis of acute myeloid leukemia (AML). MIR223 is expressed at low levels in progenitor cells, whereas high expression is induced by granulocytic differentiation. Novel-targeted therapies through epigenetic manipulation of MIR223 regulators are being explored in AML but correlative data between established clinical prognostic markers and MIR223 expression in AML is lacking. MIR223 has inverse relationship with LMO2 protein expression and our group has recently reported a close association between LMO2 protein expression and chromosomal findings in AML patients. In this study, we examined the expression of MIR223 in a large cohort of AML patients and correlated it with LMO2 protein expression, cytogenetic data, degree of differentiation [French-American and British (FAB)/World Health Organization classifications], and overall survival. MIR223 expression was upregulated in only a subset of patients (37%). Suppression of MIR223 was more frequent among patients with aneuploid karyotype compared with diploid karyotype (P=0.005). In AML, not otherwise specified category, AML with maturation (FAB-M2) showed higher levels of MIR223 when compared with either AML without maturation (FAB M0/M1) (P=0.001); AML with monoblastic differentiation (FAB M4/M5) (P=0.004) or AML with myelodysplasia-related changes (P=0.011). Among cytogenetic risk groups, suppression of MIR223 was universal (>95%) in high-risk group when compared with intermediate-risk group (P=0.004). No correlation between MIR223 and LMO2 protein expression was identified. In conclusion, we have shown that suppression of MIR223 expression, as compared with controls, is associated with lack of differentiation and adverse cytogenetic profile, but unrelated with LMO2 protein expression or overall survival.

Comparison of protein-based cell-of-origin classification to the Lymph2Cx RNA assay in a cohort of diffuse large B-cell lymphomas in Malaysia

Aims The cell of origin (COO) based molecular characterisation into germinal centre B-cell-like (GCB) and activated B-cell-like (ABC) subtypes are central to the pathogenesis and clinical course in diffuse large B-cell lymphoma (DLBCL). Globally, clinical laboratories employ pragmatic but less than ideal immunohistochemical (IHC) assay for COO classification. Novel RNA-based platforms using routine pathology samples are emerging as new gold standard and offer unique opportunities for assay standardisation for laboratories across the world. We evaluated our IHC protocols against RNA-based technologies to determine concordance; additionally, we gauged the impact of preanalytical variation on the performance of Lymph2Cx assay. Methods Diagnostic biopsies (n=104) were examined for COO classification, employing automated RNA digital quantification assay (Lymph2Cx). Results were equated against IHC-based COO categorisation. Assay performance was assessed through its impact on overall survival (OS). Results 96 (92%) informative samples were labelled as GCB (38/96; 40%) and non-GCB (58/96; 60%) by IHC evaluation. Lymph2Cx catalogued 36/96 (37%) samples as GCB, 45/96 (47%) as ABC and 15/96 (16%) as unclassified. Lymph2Cx being reference, IHC protocol revealed sensitivity of 81% for ABC and 75% for GCB categorisation and positive predictive value of 81% versus 82%, respectively. Lymph2Cx-based COO classification performed superior to Hans algorithm in predicting OS (log rank test, p=0.017 vs p=0.212). Conclusions Our report show that current IHC-based protocols for COO classification of DLBCL at UKM Malaysia are in line with previously reported results and marked variation in preanalytical factors do not critically impact Lymph2Cx assay quality.