Citations

Abstract The link between bipolar disorder (BP) and immune dysfunction remains controversial. While epidemiological studies have long suggested an association, recent research has found only limited evidence of such a relationship. To clarify this, we investigated the contributions of immune-relevant genetic factors to the response to lithium (Li) treatment and the clinical presentation of BP. First, we assessed the association of a large collection of immune-related genes (4,925) with Li response, defined by the Retrospective Assessment of the Lithium Response Phenotype Scale (Alda scale), and clinical characteristics in patients with BP from the International Consortium on Lithium Genetics (ConLi+Gen, N = 2,374). Second, we calculated here previously published polygenic scores (PGSs) for immune-related traits and evaluated their associations with Li response and clinical features. We found several genes associated with Li response at p < 1x10− 4 values, including HAS3, CNTNAP5 and NFIB. Network and functional enrichment analyses uncovered an overrepresentation of pathways involved in cell adhesion and intercellular communication, which appear to converge on the well-known Li-induced inhibition of GSK-3β. We also found various genes associated with BP’s age-at-onset, number of mood episodes, and presence of psychosis, substance abuse and/or suicidal ideation at the exploratory threshold. These included RTN4, XKR4, NRXN1, NRG1/3 and GRK5. Additionally, PGS analyses suggested serum FAS, ECP, TRANCE and cytokine ligands, amongst others, might represent potential circulating biomarkers of Li response and clinical presentation. Taken together, our results support the notion of a relatively weak association between immunity and clinically relevant features of BP at the genetic level.

Abstract Lymphoma is the sixth most commonly diagnosed cancer in the US. Genome-wide association studies have identified common variants associated with risk of specific lymphoma subtypes, but less is known about the contribution of rare inherited variants in the genetic architecture of lymphoma risk. CHEK2 is important to DNA repair and 2 small studies have found evidence of an association between CHEK2 variants and risk of lymphoma. Here, we investigated loss of function (LoF) variants in CHEK2 with risk of lymphoma (overall and subtypes). The study population included newly diagnosed lymphoma cases from Mayo who were enrolled in the Lymphoma SPORE Molecular Epidemiology Resource (MER). Controls were from the Mayo Clinic Biobank, from which we excluded a prior hematologic malignancy. Whole exome sequencing was performed by Regeneron on an Illumina NovaSeq panel (mean coverage of 48X). Variants were called using GATK v4 and variant annotation was performed using BioR. All LoF variants (nonsense, frameshift and consensus splice sites) in CHEK2 with a minor allele frequency &lt; 0.5% were included in the analyses. Logistic regression was used to estimate odds ratio (OR) and 95% confidence intervals (CI) for the association between CHEK2mutation status and risk of lymphoma overall, and by lymphoma subtypes that had more than 5 mutation carriers, which included diffuse large B-cell (DLBCL), follicular (FL), and T-cell lymphoma (TCL). All analyses were adjusted for age (at diagnosis for cases and at enrollment for controls) and sex. A total of 4,852 lymphoma cases and 49,724 controls were included in this analysis. Median age for both cases and controls was 62 years (range 18-99 years). Males accounted for 57.5% (n=2,789) of the cases and 40.6% (n=20,186) of the controls. The DLBCL (23.6% of cases) and FL (23.3% of cases) subtypes were the most common; 7.6% of cases had TCL. A total of 407 (0.7%) individuals had a LoF variant. The frequency of LoF variants was 1.2% in lymphoma cases and 0.7% in controls. LoF variants were associated with increased risk of lymphoma overall (OR=1.77; 95%CI: 1.32-2.33), DLBCL (OR=2.07; 95%CI: 1.20-3.13), and TCL (OR=2.78; 95%CI: 1.178-5.50), but not FL (OR=1.31; 95%CI: 0.65-2.34). CHEK2 c.1100delC was the most frequently mutated variant in this population, accounting for 76% of all LoF variants. Individuals with a c.1100delC variant had an increased risk of lymphoma overall (OR=1.90; 95%CI: 1.37-2.58), DLBCL (OR=2.06; 95%CI: 1.09-3.54), and TCL (OR=3.17; 95%CI:1.24-6.58), but not FL (OR=1.05; 95%CI: 0.41-2.15). When restricted to cases, there was no significant difference in age at diagnosis (P=0.62) or sex (P=0.53) between LoF variant carriers and non-carriers. In this large lymphoma case-control study, CHEK2 LoF variants were associated with increased risk of lymphoma, demonstrating that rare inherited variants may play an important role in the etiology of lymphoma. Additional work is needed to investigate missense variants in CHEK2 and risk of lymphoma. Citation Format: Nicholas J. Boddicker, Raphael Mwangi, Dennis P. Robinson, Allison C. Rosenthal, Thomas M. Habermann, Andrew L. Feldman, Lisa M. Rimsza, Rebecca L. King, Melissa C. Larson, Brianna J. Gysbers, Stephen M. Ansell, Jithma P. Abeykoon, Grzegorz S. Nowakowski, Thomas E. Witzig, Anne J. Novak, Susan L. Slager, James R. Cerhan. Germline CHEK2 variants and risk of lymphoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5233.

Abstract Introduction: Cytokines are protein factors that regulate diverse cellular processes. The malignant progression of immunoglobulin M monoclonal gammopathy of undetermined significance (IgM-MGUS) to Waldenstrom macroglobulinemia (WM) is in part cytokine mediated, and we have previously shown IL-6 mediates IgM secretion in WM via the JAK/STAT pathway. Cytokine signaling can be epigenetically modulated by micro-RNAs (miRs). We aimed to identify the role of miRs in the regulation of inflammatory cytokine pathways between these diseases. Methods: Bone marrow samples of patients with IgM-MGUS (n=7) and WM (n=25) were prospectively collected and sorted for CD19+ and/or CD138+ malignant cells. Total RNA extraction and sequencing were performed, miR and mRNA profiling was conducted, and differential expression was calculated between WM and IgM-MGUS using a log2 fold change (FC)&gt;0.5 and ←0.5, false discovery rate&lt;0.05. Experimental differentially expressed miR-mRNA pairing was performed, and pairs were filtered for correlated expression (i.e., upregulated miR/downregulated mRNA, and vice-versa). Filtered pairs were analyzed using the Ingenuity Pathway Analysis to identify pathways between WM and IgM-MGUS with absolute activation Z-score ≥1. Results: We identified 34 differentially expressed miRs experimentally targeting 1132 mRNAs. Pathway analysis showed overall miR-based inactivation of inflammatory cytokine signaling pathways in WM compared to IgM-MGUS, especially of the interleukin (IL) family: IL-2, IL-6, IL-8, IL-9, IL-15, and IL-17. Underlying multiple pathways was upregulation of miRs-146a, 150, 194, all targets of Signal Transducer and Activator of Transcription 1 (STAT1), observed to be downregulated. Of relevance, miR-146a has been previously shown to be an inhibitor of inflammatory cytokines, including IL-6. Next, we observed upregulation of miR-142 which targets phosphoinositide-3-kinase regulatory subunit 6 (PIK3R6), observed to be downregulated. Both the STAT and PIK3 families are important cytokine signal transducers, and we have previously shown the PI3k-AKT-IkB-p65 pathway induces expression of IL-6 via a GLI2-mediated mechanism. We additionally observed granulocyte-macrophage colony-stimulating factor (GM-CSF) signaling to be inactivated in WM. Here, miR-19b and miR-30e were upregulated, both target CSF 2 receptor subunit beta (CSF2RB), found to be downregulated. CSF2RB is the common receptor subunit of GM-CSF, IL-3, and IL-5. Conclusion: Our study identifies multiple cytokines pathways involved in inflammation and the tumor microenvironment to be potentially inactivated by differentially expressed miRs in WM compared to IgM-MGUS. Downregulation of these pathways and targeting of the STAT and PIK3 family indicates a possible miR-based negative feedback loop to down-modulate inflammatory cytokine signaling in WM. Citation Format: Karan Chohan, Jonas Paludo, Surendra Dasari, Jithma P. Abeykoon, Prashant Kapoor, Esteban Braggio, Michelle K. Manske, Aneel Paulus, Craig B. Reeder, Sikander Ailawadhi, Asher A. Chanan-Khan, Robert A. Kyle, Morie A. Gertz, Anne J. Novak, Stephen M. Ansell. Micro-RNA induced inactivation of inflammatory cytokine signaling pathways in Waldenstrom macroglobulinemia compared to IgM-MGUS. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3811.

7526 Background: The TRANSFORM primary analysis (PA; NCT03575351) confirmed the superior efficacy of liso-cel vs SOC as 2L therapy in patients (pts) with primary refr or early rel LBCL (Abramson et al. Blood 2022). Response to first-line (1L) therapy (refr vs rel), which was a study randomization stratification factor, may influence future treatment response. Here, we present results for refr and rel LBCL subgroups from the TRANSFORM PA. Methods: TRANSFORM is a randomized phase 3 study of liso-cel vs SOC (salvage chemotherapy [CT] followed by high-dose CT [HDCT]/autologous SCT [ASCT]) in adults ≤ 75 y with LBCL primary refr to or rel ≤ 12 mo after 1L therapy and eligible for HDCT/ASCT. The primary endpoint was event-free survival (EFS); key secondary endpoints were CR rate, PFS, and OS. In this predefined subgroup analysis, refr was SD, PD, PR, or CR with rel < 3 mo after 1L therapy; rel was CR with rel ≥ 3 mo and ≤ 12 mo after 1L therapy. Results: 92 pts were randomized to each arm. Most pts in the liso-cel and SOC arms had refr disease (73% and 76%, respectively; rel disease, 27% and 24%). Baseline characteristics in the refr and rel subgroups, respectively, were generally balanced: median LDH (U/L; liso-cel, 228.5 and 225; SOC, 259 and 259); median SPD (cm2; liso-cel, 11 and 12; SOC, 15.5 and 18); high-grade B-cell lymphoma (liso-cel, 27% and 16%; SOC, 27% and 9%); diffuse LBCL not otherwise specified (liso-cel, 58% and 56%; SOC, 49% and 73%). Consistent with the overall study population, EFS, CR rate, and PFS favored liso-cel vs SOC in both subgroups (Table). Safety was also consistent. Grade ≥ 3 cytokine release syndrome (CRS) and neurological events (NE) were low in refr (1% and 4%) and rel (0 and 4%) subgroups, respectively, with no grade 4/5 CRS or NEs. Conclusions: In TRANSFORM, liso-cel showed benefits in EFS, PFS, and CR rate vs SOC irrespective of prior response to 1L therapy. As refr LBCL is historically difficult to treat, outcomes for liso-cel in this subgroup are encouraging. Clinical trial information: NCT03575351 . [Table: see text]

Abstract Non‐follicular low‐grade B‐cell lymphomas (LGBCL) are biologically diverse entities that share clinical and histologic features that make definitive pathologic categorization challenging. While most patients with LGBCL have an indolent course, some experience aggressive disease, highlighting additional heterogeneity across these subtypes. To investigate the potential for shared biology across subtypes, we performed RNA sequencing and applied machine learning approaches that identified five clusters of patients that grouped independently of subtype. One cluster was characterized by inferior outcome, upregulation of cell cycle genes, and increased tumor immune cell content. Integration of whole exome sequencing identified novel LGBCL mutations and enrichment of TNFAIP3 and BCL2 alterations in the poor survival cluster. Building on this, we further refined a transcriptomic signature associated with early clinical failure in two independent cohorts. Taken together, this study identifies unique clusters of LGBCL defined by novel gene expression signatures and immune profiles associated with outcome across diagnostic subtypes.

Abstract Diffuse large B-cell lymphoma (DLBCL) is clinically and biologically heterogenous. Based on gene expression profiling of the tumor, DLBCL is classified into two major molecular subtypes linked to cell-of-origin (COO): germinal center (GCB) and activated B-Cell (ABC). The GCB subtype is characterized by a high prevalence of somatic mutations, particularly in apoptosis genes (e.g., BCL2) which is characteristic of follicular lymphoma (FL, another GCB lymphoma). The development of the validated NanoString gene expression test as well as immunohistochemistry markers that work in formalin-fixed, paraffin-embedded tissue allows for the classification of DLBCL by COO in epidemiological studies. We hypothesized that integration of COO with germline genetics could provide insight into the underlying biology driving this heterogeneity, as well as insight into putative function of germline risk variants. Prior genome wide association studies (GWAS) have identified 7 SNPs in 6 susceptibility loci for DLBCL, including: 2p23.3 (rs79480871 NCOA1), 3q13.33 (rs9831894 CD86), 3p24.1 (rs6773363 EOMES), 6p21.33 (rs2523607 HLA-B), 6p25.3 (rs116446171 EXOC2), and 8q24.21 (rs13255292 and rs4733601 PVT1 and MYC). Two of these loci were also identified in FL GWAS (different lead SNPs): 6p21.33 (rs3130437) and 8q24.21 (rs13254990 PVT1). Additional published FL susceptibility loci include: 3q28 (rs6444305 LPP), 6p21.32 (rs9268839), 11q23.3 (rs4938573 CXCR5), 11q24.3 (rs4937362 ETS1), and 18q21.33 (rs17749561 BCL2). Here we evaluated whether the published DLBCL/FL loci differ by COO molecular subtypes. We evaluated each of the 14 DLBCL/FL SNPs by case-case (GCB vs. nonGCB DLBCL) and polytomous case-control (GCB, nonGCB, and FL vs. controls) analyses. DLBCL cases were classified into GCB vs. nonGCB based on best available data from NanoString, RNAseq, followed by the Hans algorithm. A total of 778 DLBCL cases (470 GCB and 308 nonGCB), 1,050 FL cases, and 1,383 controls were analyzed. Odds ratios (OR) based on ordinal encoding of each SNP and 95% CI were calculated for each of the comparison groups. The ORs for four GWAS SNPs were significantly elevated in GCB vs. nonGCB DLBCL as well as in FL; two were FL GWAS SNPs from the HLA region (6p21.32 and 6p21.33) and the other two (BCL2 and ETS1) are important in the germinal center program. In contrast, one SNP (EXOC2) was significantly elevated in nonGCB-DLBCL and was not associated with GCB-DLBCL or FL; this SNP is also near IRF4 (MUM1), a gene important in the ABC program. For the remaining SNPs, there were suggestive associations for GCB-DLBCL and FL versus nonGCB DLBCL (CD86, CXCR5); nonGCB-DLBCL vs. GCB-DLBCL and FL (NCOA1, PVT1); and associations that showed no pattern with COO (EOMES, LPP, HLA-B and MYC). These findings provide insight into the shared pathogenesis of FL and GCB-DLBCL to inform etiologic mechanisms and risk assessment. Citation Format: Rosalie Griffin Waller, Dennis P. Robinson, Anne J. Novak, Lisa M. Rimsza, Kerstin Wenzl, Rebecca L. King, Andrew L. Feldman, Matthew J. Maurer, Grzegorz S. Nowakowski, Brian K. Link, Thomas M. Habermann, Susan L. Slager, James R. Cerhan. Etiologic heterogeneity of genetic risk for DLBCL cell-of origin molecular subtypes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1181.

Abstract Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N=2,367) and replicated in the combined PsyCourse (N=89) and BipoLife (N=102) studies. The associations of Li+PGS and lithium treatment response — defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P<����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������