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Bihnam, Daniel

0009-0006-2622-2324

Mayo Clinic

Mayo Clinic in Arizona

Citations 3

Abstract 5064: Ancestry-associated epigenetic differences in chronic lymphocytic leukemia
Wang, Zhiquan , Yan, Huihuang, Sherpa, Mingma G., Bihnam, Daniel , Allmer, Cristine, McCabe, Chantal E. , Robinson, Dennis P. , Slager, Susan L., Yan, Huihuang , O'Brien, Daniel Patrick , Cerhan, James R. , Kay, Neil E. , Parikh, Sameer A. , Braggio, Esteban , Slager, Susan

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 5064-5064

10.1158/1538-7445.am2026-5064 Get It

Abstract Background: CLL incidence differs by ancestry, with higher rates in individuals of European ancestry (EA) than African ancestry (AA). The contribution of epigenetic variation to these disparities remains unclear. We investigated chromatin accessibility, histone modifications, and gene expression in CLL patients of EA and AA to identify ancestry-associated epigenetic signatures. Methods: ATAC-seq was performed on blood clonal B cells from 15 AA and 51 EA patients; CUT&Tag profiling of six histone marks (H3K4me1, H3K4me3, H3K27ac, H3K9me3, H3K27me3, H3K36me3) was done in 8 AA and 12 EA cases; RNA-seq was generated for all samples. Ancestry was genetically confirmed. Differential regions were linked to genes using ENCODE and Hi-C datasets. Results: ATAC-seq revealed 4,955 regions with increased and 3,000 with decreased accessibility in AA vs EA (fold change >2, FDR ≤0.05). Regions with increased accessibility mapped to 2,313 genes; 599 were upregulated and enriched in TNF-α/NF-κB (p=1.40E-53) and apoptosis pathways (p=6.90E-11). Regions with decreased accessibility linked to 1,953 genes; 317 were downregulated, enriched in interferon-γ response (p=1.04E-03) and IL-6/JAK/STAT3 signaling (p=6.41E-03). Histone profiling showed ancestry-specific changes across all marks. For H3K27ac (active enhancer), 68 genes with a decreased signal in AA were downregulated and enriched in interferon-γ (p=1.55E-06) and IL-6/JAK/STAT3 (p=9.62E-05) pathways. Increased H3K27me3 (repressive histone modification) in AA affected 399 genes enriched in IL-6/JAK/STAT3 (p=8.13E-09) and interferon-γ (p=2.48E-05) pathways. These findings suggest coordinated regulation by active and repressive chromatin states. Conclusions: Despite limited sample size, this study suggests differences between AA and EA ancestries may exist in epigenetic signatures in CLL, implicating chromatin accessibility and histone modifications in pathways relevant to tumor biology. These signatures may also contribute to the differences in CLL incidence by ancestry. Future studies with more patients and functional validation experiments are needed to clarify the role of these epigenetic differences in CLL pathogenesis. Citation Format: Zhiquan Wang, Huihuang Yan, Mingma Sherpa, Daniel Bihnam, Cristine Allmer, Chantal McCabe, Daniel O’Brien, Dennis P. Robinson, James R. Cerhan, Neil E. Kay, Sameer A. Parikh, Esteban Braggio, Susan Slager. Ancestry-associated epigenetic differences in chronic lymphocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5064.
Genomic profiling in CLL patients after BTK inhibitor progression identifies enrichment of mutations in MAPK pathway and epigenetic regulators
Bihnam, Daniel , Loaiza, Daniela Trujillo, Bruins, Laura A., Brown, Sochilt , Loaiza, Daniela Trujillo, Wang, Zhiquan , Kenderian, Saad S. , Kay, Neil E. , Parikh, Sameer A. , Braggio, Esteban

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5660-5660

10.1182/blood-2025-5660 Get It

Abstract Introduction: Although therapies targeting Bruton Tyrosine Kinase (BTK), either as monotherapy or in combination have revolutionized the treatment in chronic lymphocytic leukemia (CLL), the disease remains incurable. Continuous treatment with these agents frequently leads to the development of resistance and disease progression, mostly associated with mutations in BTK or PLCG2. However, a significant fraction of BTKi-resistant patients does not harbor mutations in these genes, revealing that multiple distinct mechanisms of resistance can independently develop in these patient cohorts. Identifying novel molecular pathways associated with drug resistance in the relapsed/refractory (RR) setting of CLL requires more exploration. Materials and Methods: Using the Mayo Clinic CLL Database and tissue bank, we identified 30 RR patients, who had had disease progressionon a BTKi. The median lines of prior therapies were four. The median age at start of treatment was 57.9 (range, 36-78), 77% were male. Rai stage at diagnosis was 0 in 10% of patients, stage I in 37%, stage II in 20%, stage III in 6%, and stage IV in 27%. IGHV unmutated was observed in 87% of cases. Five patients subsequently evolved to Richter's Transformation (RT). A total of 64 blood samples were collected at different timepoints: baseline (before BTKi therapy), during treatment and at disease progression from BTKi (Ibrutinib/Acalabrutinib/Pirtobrutinib/Nemtabrutinib). The CD5+/CD19+ tumor population was enriched by flow sorting. We performed whole genome sequencing (WGS) in tumor/germline pairs with an average sequencing depth of 60X. Copy number variants (CNVpytor), structural variants – SV (Manta and DELLY2), single nucleotide variants (SNV) and indels (MuTect2, Strelka) were calculated. Mutational signature analysis was conducted independently on each disease timepoint with sigProfiler. De novo signatures were extracted with non-negative matrix factorization, then decomposed and mapped to known signatures from the COSMIC Human Cancer Signatures database. Results: Prior to start of BTKi treatment, the most common abnormality was del13q (65%), followed by abnormalities in TP53 (mutation and/or del17p) in 59% of patients, del8p, del11q (23% each), and mutations in SF3B1 (35%), NFKIE, NOTCH1 and MAPK signaling pathway (BRAF, KRAS, NRAS, PTPN11) in 23% of cases, each. Complex karyotype, defined as >3 copy number abnormalities was found in 59% of cases. Disease progression was observed 4.4 years (median; range 1.9-10.8 yrs) after starting BTKi therapy. At disease progression, there was an overall increase in genomic complexity. Overall, 17 cases (56%) showed mutations in BTK (p.C481S, p.C481Y, p.L528W, p.A428D) and/or PLCG2 (p.P844H). Four cases showed mutations in both genes or two or more independent mutations in BTK. Del17p and/or TP53 mutations were found in 20 (67%) cases, 9 of them with biallelic abnormalities. A third of patients (N=10) were found to have MAPK mutations, and 9 (30%) cases had mutations in the epigenetic regulators CREBBP, SETD2, SETD1A andKMT2D. Loss of heterozygosity, including 11q and 17p was found in 13% of cases. Chromothripsis was found in 23% of cases. In patients without BTK or PLCG2 mutations (N=13), TP53 abnormalities were present in 92% of cases and mutations in the MAPK pathway in 46% of these patients. Finally, we identified several SVs involving driver genes at disease progression, including inversions in RB1 (N=1), NOTCH1 (N=1) and translocations in MYC (N=1) and IGH (N=2). Analyzing the mutational signatures, baseline timepoints were dominated heavily by aging signatures (SBS5, SBS1). However, in cases that progressed after therapy, we found enrichment of mutational signatures associated with defective DNA mismatch repair (SBS44, 6%), chemotherapy treatment (SBS25, 14%), homologous and nucleotide excision repair deficiency (SBS8, 48%), and indirect effects of AID-induced somatic mutagenesis (SBS85, 7%). Additionally, the Melphalan signature (SBS99, 10%) was found in patients treated alkylating agents. Conclusions: Disease progression of CLL on BTKi confirmed the existence of multiple driver genes beyond BTK, PLCG2 andTP53, including the high prevalence of mutations in MAPK pathway and epigenetic regulators, and increased genomic complexity. Ongoing efforts are focused on integrating these findings with clinical demographics, epigenetic modifications, and preclinical drug sensitivity profiles.
The establishment of influenza-specific tissue resident helper CD4+ T cells require sensing of extracellular ATP via P2RX7 receptor 3032
Bihnam, Daniel , Santiago-Carvalho, Igor , Macedo, Bruna de Gois , Lubiana, Tiago , Salgado, Caio Loureiro , White, Emily, Nakaya, Helder I. , Silva, Henrique Borges da

The Journal of Immunology | November 21, 2025 | Volume: 214 | Issue: Supplement_1 | Pages: No page available

10.1093/jimmun/vkaf283.874 Get It

Abstract Description Developing a universal influenza vaccine requires understanding how lung-resident memory CD4+ T cells are formed. These cells remain in the lung for a long time and strengthen the immune response to secondary infections. Tissue-resident helper cells (TRH), a subset of memory T cells, share characteristics with follicular helper cells (TFH) and boost the IgA and IgG production by lung-resident B cells. TRH cells express elevated levels of the extracellular ATP (eATP) sensor P2RX7. Here we demonstrate that P2RX7 ablation on T cells impairs the establishment of flu-specific TRH cells. P2RX7-induced decrease of TRH cells negatively impacted the protection against homologous challenge, since T cell-specific P2RX7-KO mice exhibit worse control of viral load than WT mice. P2RX7-KO mice also showed a reduction in flu-specific lung-resident germinal center-like B cells and lower levels of IgA and IgG in the lungs. P2RX7-KO did not induce major changes in the numbers of TFH-induced responses in the draining lymph nodes. Our single-cell RNAseq showed reduced expression of mitochondrial genes in P2RX7-KO TRH cells, which reflects decreased mitochondrial content presence in these cells. We observed an aberrant metabolic pathway usage by P2RX7-KO TRH cells, which beyond having less mitochondria also cease to utilize glycolytic metabolism to support protein synthesis. Our findings suggest the eATP-P2RX7 axis is required to establish TRH cells that protect against influenza. Funding Sources Mayo Clinic and National Institutes of Health (NIH - H.B.d.S.: R01 AI170649) Topic Categories Mucosal and Regional Immunology (MUC)