Abstract
BOB.1, encoded by POU2AF1, is one of many factors regulating physiological B-cell maturation in the germinal center. Recently, several studies have described recurrent mutations in a three-nucleotide region in the POU2AF1 splice site in the two most common B-cell non-Hodgkin lymphomas: diffuse large B-cell lymphoma and, more frequently, follicular lymphoma. In this study, we introduced a C→G mutation at the + 1 position of the POU2AF1 splice site in two B-cell lymphoma cell lines (WSU-NHL and SUDHL4) using CRISPR/Cas9 gene editing. Our results demonstrate how point mutations in the POU2AF1 splice site decreased BOB.1 expression levels. The mutation did not produce significant changes in cell proliferation, migration, or invasiveness, but did affect cell morphology, aggregation, and cell survival in a cell-line-dependent manner. Lastly, we found that the POU2AF1 mutation c.16 + 1G > C increased BCR activation, especially in SUDHL4 cells, downregulated oxidative phosphorylation (OxPhos) metabolism, and modified therapy sensitivities in both cell lines. Mutated B-cells were more sensitive to the BTK inhibitor ibrutinib. In conclusion, mutations in the POU2AF1 splice site impact B-cell lymphomagenesis at multiple levels and represent a potential therapeutic target for patients with tumors harboring this mutation.
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Data availability
The datasets generated and/or analysed during the current study are available in the Sequence Read Archive (SRA) repository, BioProject code PRJNA1289409, [https://dataview.ncbi.nlm.nih.gov/object/PRJNA1289409?reviewer=37slsedlut6pfr1rbgp8bkd2os](https:/dataview.ncbi.nlm.nih.gov/object/PRJNA1289409?reviewer=37slsedlut6pfr1rbgp8bkd2os) .
References
Miyazaki, K. Treatment of Diffuse Large B-Cell Lymphoma. J. Clin. Exp. Hematop JCEH. 56 (2), 79–88 (2016).
Alizadeh, A. A. et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403 (6769), 503–511 (2000).
Pedrosa, L. et al. Proposal and validation of a method to classify genetic subtypes of diffuse large B cell lymphoma. Sci. Rep. 11, 1886 (2021).
Lacy, S. E. et al. Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report. Blood 135 (20), 1759–1771 (2020).
Wright, G. W. et al. A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications. Cancer Cell. 37 (4), 551–568e14 (2020).
Chapuy, B. et al. Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat. Med. 24 (5), 679–690 (2018).
Kahl, B. S. & Yang, D. T. Follicular lymphoma: evolving therapeutic strategies. Blood 127 (17), 2055–2063 (2016).
Coiffier, B. & Sarkozy, C. Diffuse large B-cell lymphoma: R-CHOP failure—what to do? Hematol. Am. Soc. Hematol. Educ. Program. 2016 (1), 366–378 (2016).
Casulo, C., Nastoupil, L., Fowler, N. H., Friedberg, J. W. & Flowers, C. R. Unmet needs in the first-line treatment of follicular lymphoma. Ann. Oncol. 28 (9), 2094–2106 (2017).
Mlynarczyk, C., Fontán, L. & Melnick, A. Germinal center-derived lymphomas: The darkest side of humoral immunity. Immunol. Rev. 288 (1), 214–239 (2019).
Milpied, P. et al. Human germinal center transcriptional programs are de-synchronized in B cell lymphoma. Nat. Immunol. 19 (9), 1013–1024 (2018).
Ysebaert, L. et al. Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics. Front. Immunol. 12, 597651 (2021).
Küppers, R. Mechanisms of B-cell lymphoma pathogenesis. Nat. Rev. Cancer. 5 (4), 251–262 (2005).
Swerdlow, S. H. et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood 127 (20), 2375–2390 (2016).
Lackraj, T., Goswami, R. & Kridel, R. Pathogenesis of follicular lymphoma. Best Pract. Res. Clin. Haematol. 31 (1), 2–14 (2018).
Victora, G. D. & Nussenzweig, M. C. Germinal Centers. Annu. Rev. Immunol. 40, 413–442 (2022).
Betzler, A. C., Ushmorov, A. & Brunner, C. The transcriptional program during germinal center reaction - a close view at GC B cells, Tfh cells and Tfr cells. Front. Immunol. 14, 1125503 (2023).
McLachlan, T. et al. B-cell Lymphoma 6 (BCL6): From Master Regulator of Humoral Immunity to Oncogenic Driver in Pediatric Cancers. Mol. Cancer Res. 20 (12), 1711–1723 (2022).
Moreno, M. J. et al. CXCR4 expression enhances diffuse large B cell lymphoma dissemination and decreases patient survival. J. Pathol. 235 (3), 445–455 (2015).
Ondrisova, L. & Mraz, M. Genetic and Non-Genetic Mechanisms of Resistance to BCR Signaling Inhibitors in B Cell Malignancies. Front. Oncol. 10, 591577 (2020).
Weber, T. S. Cell Cycle-Associated CXCR4 Expression in Germinal Center B Cells and Its Implications on Affinity Maturation. Front. Immunol. 9, 1313 (2018).
Herviou, L., Jourdan, M., Martinez, A. M., Cavalli, G. & Moreaux, J. EZH2 is overexpressed in transitional preplasmablasts and is involved in human plasma cell differentiation. Leukemia 33 (8), 2047–2060 (2019).
Guo, M. et al. EZH2 represses the B cell transcriptional program and regulates antibody secreting cell metabolism and antibody production. J. Immunol. Baltim. Md. 1950. 200 (3), 1039–1052 (2018).
Laidlaw, B. J. & Cyster, J. G. Transcriptional regulation of memory B cell differentiation. Nat. Rev. Immunol. 21 (4), 209–220 (2021).
Hodson, D. J. et al. Regulation of normal B-cell differentiation and malignant B-cell survival by OCT2. Proc. Natl. Acad. Sci. U S A. 113 (14), E2039–E2046 (2016).
McCune, R. C., Syrbu, S. I. & Vasef, M. A. Expression profiling of transcription factors Pax-5, Oct-1, Oct-2, BOB.1, and PU.1 in Hodgkin’s and non-Hodgkin’s lymphomas: a comparative study using high throughput tissue microarrays. Mod. Pathol. 19 (7), 1010–1018 (2006).
Browne, P., Petrosyan, K., Hernandez, A. & Chan, J. A. The B-cell transcription factors BSAP, Oct-2, and BOB.1 and the pan-B-cell markers CD20, CD22, and CD79a are useful in the differential diagnosis of classic Hodgkin lymphoma. Am. J. Clin. Pathol. 120 (5), 767–777 (2003).
Sáez, A. I. et al. Analysis of octamer-binding transcription factors Oct2 and Oct1 and their coactivator BOB.1/OBF.1 in lymphomas. Mod. Pathol. Off J. U S Can. Acad. Pathol. Inc. 15 (3), 211–220 (2002).
Betzler, A. C. et al. BOB.1/OBF.1 is required during B-cell ontogeny for B-cell differentiation and germinal center function. Eur. J. Immunol. 52 (3), 404–417 (2022).
Marafioti, T. et al. Expression of B-Lymphocyte-Associated Transcription Factors in Human T-Cell Neoplasms. Am. J. Pathol. 162 (3), 861–871 (2003).
Dreval, K. et al. Genetic subdivisions of follicular lymphoma defined by distinct coding and noncoding mutation patterns. Blood 142 (6), 561–573 (2023).
Kridel, R. et al. Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study. PLoS Med. 13 (12), e1002197 (2016).
Mozas, P. et al. Genomic landscape of follicular lymphoma across a wide spectrum of clinical behaviors. Hematol. Oncol. 41 (4), 631–643 (2023).
Krysiak, K. et al. Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma. Blood 129 (4), 473–483 (2017).
González-Rincón, J. et al. Unraveling transformation of follicular lymphoma to diffuse large B-cell lymphoma. PloS One. 14 (2), e0212813 (2019).
Juul, R. I., Nielsen, M. M., Juul, M., Feuerbach, L. & Pedersen, J. S. The landscape and driver potential of site-specific hotspots across cancer genomes. NPJ Genomic Med. 6 (1), 33 (2021).
Tian, Y. F. et al. Integrin-specific hydrogels as adaptable tumor organoids for malignant B and T cells. Biomaterials 73, 110–119 (2015).
Jaganathan, K. et al. Predicting Splicing from Primary Sequence with Deep Learning. Cell 176 (3), 535–548e24 (2019).
Zeng, T. & Li, Y. I. Predicting RNA splicing from DNA sequence using Pangolin. Genome Biol. 23 (1), 103 (2022).
Pejaver, V. et al. Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria. Am. J. Hum. Genet. 109 (12), 2163–2177 (2022).
Mootha, V. K. et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat. Genet. 34 (3), 267–273 (2003).
Subramanian, A. et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. 102 (43), 15545–15550 (2005).
Gómez-Abad, C. et al. PIM2 inhibition as a rational therapeutic approach in B-cell lymphoma. Blood 118 (20), 5517–5527 (2011).
Kolde, R. pheatmap: Pretty Heatmaps [Internet]. 2019 [cited 2024 July 4]. Available from: https://cran.r-project.org/web/packages/pheatmap/index.html
Purwada, A. et al. Ex vivo synthetic immune tissues with T cell signals for differentiating antigen-specific, high affinity germinal center B cells. Biomaterials 198, 27–36 (2019).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods. 9 (7), 676–682 (2012).
Justus, C. R., Leffler, N., Ruiz-Echevarria, M. & Yang, L. V. In vitro Cell Migration and Invasion Assays. JoVE J. Vis. Exp. 1 (88), e51046 (2014).
Lever, J., Krzywinski, M. & Altman, N. Principal component analysis. Nat. Methods. 14 (7), 641–642 (2017).
Fernández-Miranda, I. et al. Monitoring of Circulating Tumor DNA Predicts Response to Treatment and Early Progression in Follicular Lymphoma: Results of a Prospective Pilot Study. Clin. Cancer Res. Off J. Am. Assoc. Cancer Res. 29 (1), 209–220 (2023).
Fernández-Miranda, I. et al. Generation and external validation of a histological transformation risk model for patients with follicular lymphoma. Mod. Pathol. Off J. U S Can. Acad. Pathol. Inc ;100516. (2024).
Yang, Y. et al. Exploiting Synthetic Lethality for the Therapy of ABC Diffuse Large B Cell Lymphoma. Cancer Cell. 21 (6), 723–737 (2012).
Scuoppo, C. et al. Repurposing dasatinib for diffuse large B cell lymphoma. Proc. Natl. Acad. Sci. U S A. 116 (34), 16981–16986 (2019).
Mikuni, T. et al. High-Resolution Mapping of Protein Localization in Mammalian Brain by In Vivo Genome Editing. Cell 165 (7), 1803–1817 (2016).
Roberts, B. et al. Systematic gene tagging using CRISPR/Cas9 in human stem cells to illuminate cell organization. Mol. Biol. Cell. 28 (21), 2854–2874 (2017).
Fang, H., Bygrave, A. M., Roth, R. H., Johnson, R. C. & Huganir, R. L. An optimized CRISPR/Cas9 approach for precise genome editing in neurons. Day JJ, Chen L, Choquet D, editors. eLife. ;10:e65202. (2021).
Cho, N. H. et al. OpenCell: Endogenous tagging for the cartography of human cellular organization. Science 375 (6585), eabi6983 (2022).
He, T. et al. Targeting the mSWI/SNF complex in POU2F-POU2AF transcription factor-driven malignancies. Cancer Cell. 42 (8), 1336–1351e9 (2024).
Chen, D. et al. Coupled analysis of transcriptome and BCR mutations reveals role of OXPHOS in affinity maturation. Nat. Immunol. 22 (7), 904–913 (2021).
Kedmi, M. et al. Ibrutinib With Bendamustine and Rituximab for Treatment of Patients With Relapsed/Refractory Aggressive B-Cell Lymphoma. Hematol. Oncol. 42 (6), e70001 (2024).
Ren, L. et al. Ibrutinib in Patients with Relapsed or Refractory Diffuse Large B-Cell Lymphoma: A Retrospective Study. Indian J. Hematol. Blood Transfus. 38 (1), 42–50 (2022).
Schmitz, N. & Karsten, I. E. Ibrutinib in the treatment of relapsed FL and MZL? Blood Adv. 7 (22), 7139–7140 (2023).
Acknowledgements
We want to thank Dr. Giovanna Roncador, Head of the Monoclonal Antibodies Unit at the Spanish National Cancer Research Center (CNIO, Madrid, Spain), and Dr. Patricia Pérez-Galán (Institut d’Investigacions Biomèdiques August Pi i Sunyer, IDIBAPS, Spain), for donating some cell lines. This work was supported by: Spanish Ministry of Economy and Competence (MINECO) and Instituto de Salud Carlos III (ISCIII), ISCIII-MINECO AES-FEDER (PI17/00272, PI20/00591, PI23/01587); Dirección General de Universidades e Investigación de la Consejería de Educación e Investigación de la Comunidad de Madrid (CM) (B2017/BMD-3778); and Fundación de Investigación Biomédica H. U. Puerta de Hierro-Majadahonda (FIB HUPHM), Madrid. L.P. received an iPFIS predoctoral fellowship (IFI18/0004) ISCIII-MINECO AES-FEDER, Plan Estatal I+D+I 2014-2020). I.F.M. was supported by B2017/BMD-3778 and the FIB HUPHM. N.Y.C. is supported by the Fundación Científica de la Asociación Española Contra el Cáncer (POSTD18029SANC). B.H. and M.P.A. are supported by the Plan de Empleo Juvenil de la CM (PEJ-2020-TL/BMD-19530, and PEJ-2023-AI/SAL-GL-28806 respectively).
Funding
This work was supported by: Spanish Ministry of Economy and Competence (MINECO) and Instituto de Salud Carlos III (ISCIII), ISCIII-MINECO AES-FEDER (PI17/00272, PI20/00591, PI23/01587); Dirección General de Universidades e Investigación de la Consejería de Educación e Investigación de la Comunidad de Madrid (CM) (B2017/BMD-3778); and Fundación de Investigación Biomédica H. U. Puerta de Hierro-Majadahonda (FIB HUPHM), Madrid. L.P. received an iPFIS predoctoral fellowship (IFI18/0004) ISCIII-MINECO AES-FEDER, Plan Estatal I + D+I 2014–2020). I.F.M. was supported by B2017/BMD-3778 and the FIB HUPHM. N.Y.C. is supported by the Fundación Científica de la Asociación Española Contra el Cáncer (POSTD18029SANC). B.H. and M.P.A. are supported by the Plan de Empleo Juvenil de la CM (PEJ-2020-TL/BMD-19530, and PEJ-2023-AI/SAL-GL-28806 respectively).
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N.Y.C. designed the study, performed experimental procedures and analyzed data, performed the statistical analysis, and wrote the paper; L.P., B.H. and S.G. performed experimental procedures; A.G.G. was involved in the flow cytometry assays; R.M.V., I.F.M. and M.P.A. performed the bioinformatics analysis and data processing; R.T.R and S.R.P were involved in the design of genetic edition procedures; M.S.B. designed the study, discussed and analyzed results and wrote the paper. All the authors reviewed and approved the manuscript.
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Yanguas-Casás, N., Pedrosa, L., Horcajo, B. et al. Splice-site mutations in POU2AF1 are associated with B-cell lymphomagenesis and therapeutic response. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43710-6
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DOI: https://doi.org/10.1038/s41598-026-43710-6


