Genome-wide microRNA expression profiling of molecular subgroups of peripheral T-cell lymphoma

2021 ◽  
pp. clincanres.0573.2021
Author(s):  
Waseem Lone ◽  
Alyssa Bouska ◽  
Sunandini Sharma ◽  
Catalina Amador ◽  
Mallick Saumyaranjan ◽  
...  
Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2767-2767
Author(s):  
Waseem Lone ◽  
Alyssa Bouska ◽  
Tyler Herek ◽  
Catalina Amador ◽  
Mallick Saumyaranajn ◽  
...  

Peripheral T-cell lymphoma (PTCL) is a heterogeneous group of non-Hodgkin lymphomas and approximately 30% of PTCLs are designated as not-otherwise specified (PTCL-NOS). Gene expression profiling (GEP) identified molecular classifiers for PTCL entities and identified 2 novel biological subgroups within PTCL-NOS (PTCL-GATA3 and PTCL-TBX21), associated with T-cell differentiation subsets. To further investigate molecular oncogenesis, we performed microRNA expression profiling (miR-EP) in several molecular subtypes of PTCL including angioimmunoblastic T-cell lymphoma (AITL), PTCL-GATA3 and PTCL-TBX21 using formalin fixed paraffin embedded tissues. We also performed miR-EP of normal T-cell subsets polarized to represent different differentiation stages (TFH, TH1 and TH2). We performed miR-EP on 102 PTCL cases using either quantitative real time PCR (ABI, Biosystem) or ultra-sensitive direct miRNA counting (nCounter, NanoString). Corresponding GEP (mRNA) were available for 67 PTCL cases. Normal T-cells were polarized in-vitro with different cytokine milieu and examined by flow cytometry. We observed distinct miRNA profiles, with miRNA being uniquely expressed in TFH polarized cells (miR-26a-5p, miR-17-5p, miR-30d-5p, miR-22-3p, miR-222-3p, miR-142-3p, let-7i-5p and miR-29b-3p). In contrast, the TH1 lineage was enriched for expression of miR-155-5p, miR-146a-5p, miR-1246, miR-93-5p, miR-16-5p, miR-21-5p, miR-363-3p, miR-1260a, miR-186-5p, miR-148a-3p and miR-579-3p, whereas TH2 polarized cells expressed miR-181a-5p, let-7a-5p, miR-191-5p, miR-15b-5p, let-7d-5p, let-7b-5p, miR-140-5p, miR-98-5p, miR-423-5p and miR-630. Several of these miRNA expressed in the T-cells subsets showed corresponding expression in their respective PTCL entity such as miR-142-3p, let7i-5p, miR-21-5p and miR-29b-3p with AITL, miR-146-5p, miR-155-5p and miR-16-5p in PTCL-TBX21 and miR-181a-5p, miR-630 and let7a-5p in PTCL-GATA3. We also performed the MiRNA Enrichment Analysis and Annotation (miEAA) for miRNA signatures and observed an enrichment of miRNA regulating epigenetic modifications in TFH cells (p=0.028), whereas TH1 showed an enrichment of miRNA regulating IFN-g signaling (p=0.0024), and miRNA signatures in TH2 showed negative regulation of TGF-b signaling (p=0.023). Supervised analysis (p=0.05) of the miRNA profiles identified significant association of miR-126, miR-145, and let-7c-5p with AITL, when compared to other PTCLs. Similarly, miR-92a, miR-25, miR-636, miR-210, miR-222 and miR-491-5p significantly associated with PTCL-GATA3 and miRNA 126-3p, 145-5p, miR-26a-5p and miR-34a-5p associated with PTCL-TBX21. The miEAA for tumor miRNA signatures revealed enrichment of miRNAs regulating histone methylation (h3 k4 methylation) and chemokine receptor signaling in AITL, whereas miRNA regulating T-cell receptor were enriched in PTCL-TBX21 and TP53 signaling pathway in PTCL-GATA3. We validated the expression of miR-126 in AITL by qRT-PCR and also observed its increased expression in IL21 stimulated CD4+ T-cells. Ectopic expression of miR-126 resulted in a ~3 fold increased expression in T-cell lines and led to reduced proliferation and increased apoptosis with expression of T-cell exhaustion makers PD1 and TIM3. Computational algorithmic programs identified relevant biological targets of miR-126, including p85/PIK3R2, S1PR2 and DNMT3A that were further validated in-vitro. We observed an inverse correlation of miR-126 expression with S1PR2 expression (r=-0.64). S1PR2 is a crucial G protein-coupled receptor regulating B and T-cell migration in the germinal center (GC) reaction. Migration assays demonstrated significant decreases in T to B-cell migration, when B-cells (Raji) were co-cultured with Jurkat cells with ectopic expression of miR-126. With the GC reaction holding an important role in AITL, we investigated the biological significance of miRNA-126 in the context of the AITL microenvironment. High expression of miRNA-126 significantly associated with inferior survival in AITL (p=0.008) and significant differences in tumor microenvironment signatures. We identified distinct miRNA signatures for AITL and molecular subgroups of PTCL-NOS. Furthermore, elevated expression of miR-126 may contribute to the dysregulation and the homing of TFH cells in GC reaction through S1PR2 and warrants further mechanistic investigation. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4096-4096 ◽  
Author(s):  
Tayla B Heavican ◽  
Jiayu Yu ◽  
Alyssa Bouska ◽  
Timothy C Greiner ◽  
Cynthia M Lachel ◽  
...  

Abstract Peripheral T-cell lymphoma (PTCL) is a group of clinically and pathologically heterogeneous non-Hodgkin lymphomas (NHL). Using gene expression profiling (GEP), we have defined molecular classifiers for PTCL subtypes reflecting their pathobiology and oncogenic pathways (Iqbal et al. 2014). We have also shown associations of specific mutations with the molecular subgroups (Wang et al. 2015). Although genomic information is increasing, the pathogenetic mechanisms of PTCLs remain largely unknown. Therefore, we analyzed copy number variation (CNV) and GEP to identify unique genetic abnormalities in the defined PTCL molecular subgroups. CNV data were generated on fresh frozen or formalin-fixed paraffin-embedded genomic DNA (n=114) on 3 Affymetrix platforms (SNP 6.0, 250K SNP, and OncoScan). Two published cohorts (PTCL-NOS, Hartmann et al. 2010; ALCL, Boi et al. 2013) were included for validation. The gene expression analysis, morphological review and clinical characteristics of these cases have been included in previous studies (Iqbal et al. 2010, 2014). Angioimmunoblastic T-cell lymphoma (AITL) represents 20% of all PTCL cases. The most recurrent CNV in AITL was chromosome (chr) 5 gain (39%), followed by chr 21 gain (21%). Interestingly, chr 21 gain co-occurred with chr 5 gain (p=0.003). No recurrent losses (≥20%) were identified among these cases. Molecularly re-classified AITL cases from morphologically classified PTCL-NOS cases showed concordant results with bonafide AITL cases. Of the commonly mutated genes, DNMT3A, IDH2, RHOA and TET2, only IDH2R172Kshowed a significant association (p=0.012) with chr 5 gain. GEP showed enrichment of gene signatures associated with oxidative phosphorylation (PGC-1α target genes) in cases with chr 5 gain. PTCL, not otherwise specified (PTCL-NOS) is the most common PTCL subtype and cannot be further sub-classified using conventional approaches; however, we have identified 2 molecular subgroups within PTCL-NOS, the GATA3 and TBX21 subgroups which are related to 2 distinct T-helper subsets (Iqbal et al. 2014), by employing GEP. Consistent with earlier observations (Hartmann et al. 2010), PTCL-NOS showed remarkably varied CNVs with nearly 50% of cases showing high CNV frequencies. When correlated with molecular subgroups, distinctive CNVs were observed in the molecular GATA3 and TBX21 subgroups. The GATA3 subgroup displayed a large assortment of CNVs. Complete or partial gain of chr 7 (57%) was the most recurrent gain in these cases. Losses affecting 17p, 10q and 9p21, encompassing tumor suppressors such as TP53 (57%), PTEN (43%) and CDKN2A (43%), were frequent in the GATA3 subgroup. The TBX21 subgroup had significantly fewer CNVs, as none were recurring (≥20%); but gains of 5p or 11p were observed in 14%. Additionally, PTCL-NOS cases with ≥10% abnormal genome had significantly poorer overall survival (p=0.012) compared to those with fewer abnormalities. This finding validates the GEP molecularly defined subgroups, as the GATA3 subgroup displayed more CNVs and has been associated with a worse prognosis compared to the TBX21 subgroup (Iqbal et al. 2014). We were able to distinguish CNVs characteristic of the different entities, including the co-occurrence of chr 5 and 21 gains specific in AITL. Gain of 1q (complete or partial) was identified in the GATA3 subgroup of PTCL-NOS and anaplastic lymphoma kinase (ALK) (-) ALCL with equal frequencies (~ 36%), but only 16% in ALK(+) ALCL. Complete or partial gain of chr 7 was also observed in ALCL, but at a considerably lower frequency than in the GATA3 subgroup. Additionally, gain of chr 18 or regions of 17q, and loss of 5q or regions on both arms of chr 9, were more frequent in the GATA3 subgroup compared to other entities. The TBX21 subgroup was primarily differentiated from the GATA3 subgroup by presence of fewer CNVs. Our analysis provides a framework for future investigations into the molecular pathogenesis of PTCL, and highlights potential candidate oncogenes and tumor suppressors deregulated by copy number aberrations. Comparative analysis revealed that certain chromosomal abnormalities are entity-specific. AITL cases with IDH2R172K also had trisomy 5 suggesting that these oncogenic events cooperate in malignant transformation. Thus, the complexity of PTCL is finally becoming clearer with the integration of high resolution molecular techniques for global genomic analysis. Disclosures No relevant conflicts of interest to declare.


Haematologica ◽  
2019 ◽  
Vol 105 (6) ◽  
pp. 1582-1592 ◽  
Author(s):  
Fanny Drieux ◽  
Philippe Ruminy ◽  
Ahmad Abdel-Sater ◽  
François Lemonnier ◽  
Pierre-Julien Viailly ◽  
...  

2015 ◽  
Vol 135 (4) ◽  
pp. 1128-1137 ◽  
Author(s):  
Juan Sandoval ◽  
Angel Díaz-Lagares ◽  
Rocío Salgado ◽  
Octavio Servitje ◽  
Fina Climent ◽  
...  

Blood ◽  
2019 ◽  
Vol 133 (15) ◽  
pp. 1664-1676 ◽  
Author(s):  
Tayla B. Heavican ◽  
Alyssa Bouska ◽  
Jiayu Yu ◽  
Waseem Lone ◽  
Catalina Amador ◽  
...  

Abstract Peripheral T-cell lymphoma (PTCL) is a group of complex clinicopathological entities, often associated with an aggressive clinical course. Angioimmunoblastic T-cell lymphoma (AITL) and PTCL-not otherwise specified (PTCL-NOS) are the 2 most frequent categories, accounting for >50% of PTCLs. Gene expression profiling (GEP) defined molecular signatures for AITL and delineated biological and prognostic subgroups within PTCL-NOS (PTCL-GATA3 and PTCL-TBX21). Genomic copy number (CN) analysis and targeted sequencing of these molecular subgroups revealed unique CN abnormalities (CNAs) and oncogenic pathways, indicating distinct oncogenic evolution. PTCL-GATA3 exhibited greater genomic complexity that was characterized by frequent loss or mutation of tumor suppressor genes targeting the CDKN2A/B-TP53 axis and PTEN-PI3K pathways. Co-occurring gains/amplifications of STAT3 and MYC occurred in PTCL-GATA3. Several CNAs, in particular loss of CDKN2A, exhibited prognostic significance in PTCL-NOS as a single entity and in the PTCL-GATA3 subgroup. The PTCL-TBX21 subgroup had fewer CNAs, primarily targeting cytotoxic effector genes, and was enriched in mutations of genes regulating DNA methylation. CNAs affecting metabolic processes regulating RNA/protein degradation and T-cell receptor signaling were common in both subgroups. AITL showed lower genomic complexity compared with other PTCL entities, with frequent co-occurring gains of chromosome 5 (chr5) and chr21 that were significantly associated with IDH2R172 mutation. CN losses were enriched in genes regulating PI3K–AKT–mTOR signaling in cases without IDH2 mutation. Overall, we demonstrated that novel GEP-defined PTCL subgroups likely evolve by distinct genetic pathways and provided biological rationale for therapies that may be investigated in future clinical trials.


2009 ◽  
Vol 150 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Régis Costello ◽  
Carole Sanchez ◽  
Thérèse Le Treut ◽  
Pascal Rihet ◽  
Jean Imbert ◽  
...  

1988 ◽  
Vol 117 (4_Suppl) ◽  
pp. S245
Author(s):  
H. DÖHNER ◽  
M. HÜFNER ◽  
J. SCHMIDT ◽  
P. MÖLLER ◽  
A.D. Ho

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