The presence of SH2B3 mutations identifies a distinct subtype of myelodysplastic neoplasms

Abstract Background & aim: While SH2B3 gene mutations have been identified in myeloproliferative neoplasms, where they negatively regulate the TPO/MPL/JAK2 pathway, their pathogenic mechanism and clinical implications in MDS remain unknown. This study aimed to analyze the clinical features, prognostic impact, and functional role of SH2B3 mutations in patients with myelodysplastic neoplasms (MDS). Methods: The study cohort included MDS patients according to WHO 2016 criteria from 19 international centers, harboring SH2B3 mutations (MDS-SH2B3mut) with a variant allele frequency (VAF) < 40%, or VAF ≥ 40% if germline origin was excluded. The control group included MDS patients without SH2B3 mutations (MDS-SH2B3wt), obtained from the Molecular International Prognostic Scoring System (IPSS-M) dataset (Bernard et al., NEJM Evid. 2022). Clinical and molecular data collected at diagnosis (including NGS of myeloid gene mutations), and outcome variables were compared between MDS-SH2B3mut and MDS-SH2B3wt patients. Prognostic risk was assessed using IPSS-R and IPSS-M. Associations with acute myeloid leukemia (AML) progression, overall survival (OS) and leukemia-free survival (LFS) were evaluated. Variables included in the multivariate analysis were SH2B3 mutational status (MDS-SH2B3mut vs MDS-SH2B3wt ) and risk classification: lower-risk, defined as IPSS-R ≤3.5 points or IPSS-M very-low, low, or moderate-low versus higher-risk, defined as IPSS-R >3.5 points or IPSS-M moderate-high, high, or very-high. Statistical analyses were performed using R. Results: 92 MDS-SH2B3mut and 1.842 MDS-SH2B3wt patients were included. Mutated patients were significantly older than MDS-SH2B3wt (median 74 (IQR 68–80) vs. 70 (IQR 64–79) years; p<0.01). A lower proportion of MDS-SH2B3mut cases were classified as MDS with excess blasts-2 (9.8% vs 18.0%; p=0.06) compared to MDS-SH2B3wt. Moreover, high and very-high IPSS-R cytogenetic categories were less frequent in MDS-SH2B3mut patients than MDS-SH2B3wt (4.5% vs. 12.2%; p<0.01). Consequently, fewer MDS-SH2B3mut cases were classified into high and very-high risk groups by IPSS-R (9.8% vs. 24.0%, p<0.02). Median VAF of SH2B3 mutations was 11.8% (IQR 5.6–24.2). Among the 99 SH2B3 variants identified, the most frequent were frameshift (40%) and missense (39%). Notably, 43% of the frameshift variants clustered in exon 2, which encodes the Phe_ZIP domain that is critical for SH2B3-mediated inhibition of cell proliferation. In MDS-SH2B3mut patients, median number of co-ocurring mutations was 5 (IQR 3–6). Compared with MDS-SH2B3wt, MDS-SH2B3mut patients showed significantly higher mutation rates in TET2 (54% vs. 29%), SRSF2 (23% vs. 15%), ZRSR2 (17% vs. 5%), CBL (10% vs. 4%), JAK2 (10% vs. 2%), and PHF6 (9% vs. 3%). Moreover, 38% of MDS-SH2B3mut patients presented TET2–SRSF2 co-mutations (HR 12; p<0.01), showing similarities with the molecular landscape of CMML. Interestingly, preliminary data from ex vivo myeloid-erythroid differentiation assays suggest that SH2B3 knockdown in primary CD34⁺ hematopoietic stem/progenitor cells promote a shift toward monocytic differentiation, aligning with the molecular features observed in MDS-SH2B3mut cases. MDS-SH2B3mut patients exhibited better outcomes compared to MDS-SH2B3wt. LFS was longer in MDS-SH2B3mut [median 59.7 months (95%CI 43.1–NR) vs. 37.8 months (95%CI 29.9–50.1); p=0.01]. OS was also longer in MDS-SH2B3mut patients [median 89.6 months (CI95% 44.4–NR) vs. 47.3 months (95%CI 37.7–55.1); p=0.05]. In the multivariate analysis for LFS including SH2B3 mutational status and IPSS-M, both SH2B3 mutations (HR 0.6; 95%CI 0.4–0.9; p=0.01) and lower-risk IPSS-M categories (HR 0.30; 95%CI 0.22–0.39; p<0.01) emerged as independent favorable prognostic factors. Similarly, in the model including IPSS-R, SH2B3 mutations (HR 0.5; 95%CI 0.3–0.9; p=0.02) and lower-risk IPSS-R categories (HR 0.4; 95%CI 0.3–0.5; p<0.01) were independently associated with improved LFS. Conclusions: Our study, the first to comprehensively characterize MDS patients harboring SH2B3 mutations, identifies a distinct subtype of MDS with CMML-like molecular features and more favorable outcomes.

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Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-2070
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Myeloproliferative Neoplasms: Diagnosis and Treatment
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article

The presence of SH2B3 mutations identifies a distinct subtype of myelodysplastic neoplasms

Carlos Bravo‐Pérez, María Julia Montoro, Mar Tormo, Rami S. Komrokji et al.
Blood
Myeloproliferative Neoplasms: Diagnosis and Treatment
article

The presence of SH2B3 mutations identifies a distinct subtype of myelodysplastic neoplasms

Carlos Bravo‐Pérez, María Julia Montoro, Mar Tormo, Rami S. Komrokji, Weina Chen, Pamela Acha, David Valcárcel, Beate Betz, Emmanuelle Clappier, Alain Migeon, Klaus Hans Metzeler, David Andrew Sallman, Manja Meggendorfer, Torsten Haferlach, Austin Gladston Kulasekararaj, Helena Pomares, Zhuoer Xie, Teresa Ezponda, L. Barbero, Francesc Bosch, Raja Prince-Eladnani, Najla Al Ali, Julia Mestre, Michael Wulfert, María Díez‐Campelo, Ulrich Germing, Marina Díaz‐Beyá, Uwe Platzbecker, Françesc Solé, Mónica Del Rey, Sílvia Saumell, Jaroslaw Pawel Maciejewski, Andrés Jerez, Montserrat Rivero, Pierre Fenaux, Sherry Pierce, Kar Lok Kong, Guillermo Garcia‐Manero, Franceso Versino, Gabriela Fernandez-Ruz, Paula Garcia Olloqui
article en

Abstract

Abstract Background & aim: While SH2B3 gene mutations have been identified in myeloproliferative neoplasms, where they negatively regulate the TPO/MPL/JAK2 pathway, their pathogenic mechanism and clinical implications in MDS remain unknown. This study aimed to analyze the clinical features, prognostic impact, and functional role of SH2B3 mutations in patients with myelodysplastic neoplasms (MDS). Methods: The study cohort included MDS patients according to WHO 2016 criteria from 19 international centers, harboring SH2B3 mutations (MDS-SH2B3mut) with a variant allele frequency (VAF) < 40%, or VAF ≥ 40% if germline origin was excluded. The control group included MDS patients without SH2B3 mutations (MDS-SH2B3wt), obtained from the Molecular International Prognostic Scoring System (IPSS-M) dataset (Bernard et al., NEJM Evid. 2022). Clinical and molecular data collected at diagnosis (including NGS of myeloid gene mutations), and outcome variables were compared between MDS-SH2B3mut and MDS-SH2B3wt patients. Prognostic risk was assessed using IPSS-R and IPSS-M. Associations with acute myeloid leukemia (AML) progression, overall survival (OS) and leukemia-free survival (LFS) were evaluated. Variables included in the multivariate analysis were SH2B3 mutational status (MDS-SH2B3mut vs MDS-SH2B3wt ) and risk classification: lower-risk, defined as IPSS-R ≤3.5 points or IPSS-M very-low, low, or moderate-low versus higher-risk, defined as IPSS-R >3.5 points or IPSS-M moderate-high, high, or very-high. Statistical analyses were performed using R. Results: 92 MDS-SH2B3mut and 1.842 MDS-SH2B3wt patients were included. Mutated patients were significantly older than MDS-SH2B3wt (median 74 (IQR 68–80) vs. 70 (IQR 64–79) years; p<0.01). A lower proportion of MDS-SH2B3mut cases were classified as MDS with excess blasts-2 (9.8% vs 18.0%; p=0.06) compared to MDS-SH2B3wt. Moreover, high and very-high IPSS-R cytogenetic categories were less frequent in MDS-SH2B3mut patients than MDS-SH2B3wt (4.5% vs. 12.2%; p<0.01). Consequently, fewer MDS-SH2B3mut cases were classified into high and very-high risk groups by IPSS-R (9.8% vs. 24.0%, p<0.02). Median VAF of SH2B3 mutations was 11.8% (IQR 5.6–24.2). Among the 99 SH2B3 variants identified, the most frequent were frameshift (40%) and missense (39%). Notably, 43% of the frameshift variants clustered in exon 2, which encodes the Phe_ZIP domain that is critical for SH2B3-mediated inhibition of cell proliferation. In MDS-SH2B3mut patients, median number of co-ocurring mutations was 5 (IQR 3–6). Compared with MDS-SH2B3wt, MDS-SH2B3mut patients showed significantly higher mutation rates in TET2 (54% vs. 29%), SRSF2 (23% vs. 15%), ZRSR2 (17% vs. 5%), CBL (10% vs. 4%), JAK2 (10% vs. 2%), and PHF6 (9% vs. 3%). Moreover, 38% of MDS-SH2B3mut patients presented TET2–SRSF2 co-mutations (HR 12; p<0.01), showing similarities with the molecular landscape of CMML. Interestingly, preliminary data from ex vivo myeloid-erythroid differentiation assays suggest that SH2B3 knockdown in primary CD34⁺ hematopoietic stem/progenitor cells promote a shift toward monocytic differentiation, aligning with the molecular features observed in MDS-SH2B3mut cases. MDS-SH2B3mut patients exhibited better outcomes compared to MDS-SH2B3wt. LFS was longer in MDS-SH2B3mut [median 59.7 months (95%CI 43.1–NR) vs. 37.8 months (95%CI 29.9–50.1); p=0.01]. OS was also longer in MDS-SH2B3mut patients [median 89.6 months (CI95% 44.4–NR) vs. 47.3 months (95%CI 37.7–55.1); p=0.05]. In the multivariate analysis for LFS including SH2B3 mutational status and IPSS-M, both SH2B3 mutations (HR 0.6; 95%CI 0.4–0.9; p=0.01) and lower-risk IPSS-M categories (HR 0.30; 95%CI 0.22–0.39; p<0.01) emerged as independent favorable prognostic factors. Similarly, in the model including IPSS-R, SH2B3 mutations (HR 0.5; 95%CI 0.3–0.9; p=0.02) and lower-risk IPSS-R categories (HR 0.4; 95%CI 0.3–0.5; p<0.01) were independently associated with improved LFS. Conclusions: Our study, the first to comprehensively characterize MDS patients harboring SH2B3 mutations, identifies a distinct subtype of MDS with CMML-like molecular features and more favorable outcomes.

BloodVol. 146(Supplement 1)
Hebron University (PS), Cleveland Clinic (US), Institut Català d'Ornitologia (ES), The University of Texas MD Anderson Cancer Center (US), Instituto Cajal (ES), Hospital Universitari Arnau de Vilanova (ES), Moffitt Cancer Center (US), Düsseldorf University Hospital (DE), Josep Carreras Leukaemia Research Institute (ES), Munich Leukemia Laboratory (Germany) (DE), Southwestern Medical Center (US), Assistance Publique – Hôpitaux de Paris (FR), Institut Català d'Oncologia (ES), King's College Hospital NHS Foundation Trust (GB), Hospital Clínic de Barcelona (ES), Hospital Arnau de Vilanova (ES), University Hospital Leipzig (DE), Vall d'Hebron Hospital Universitari (ES), Instituto de Investigación Biomédica de Salamanca (ES), Clinica Universidad de Navarra (ES), Hôpital Saint-Louis (FR), King's College Hospital (GB), INCLIVA Health Research Institute (ES), Hospital Universitario Ramón y Cajal (ES), Heinrich Heine University Düsseldorf (DE), The University of Texas Southwestern Medical Center (US), Universidad de Navarra (ES)
Openalex Percentile: Top 44%
Myeloproliferative Neoplasms: Diagnosis and Treatment
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