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Background: Treatment of symptomatic splenomegaly in myelofibrosis (MF) was revolutionized by JAK2 inhibitors (JAKi), with ruxolitinib inducing a >35% spleen volume reduction in 42% of patients at 24 weeks (N Engl J Med 2012;366). However, the benefit is often transient with a median duration of spleen response of three years (N Engl J Med. 2011;365). Treatment modalities for the management of MF-associated splenomegaly resistant to JAKi treatment includes surgical resection and involved-field radiotherapy. In the current study, we describe our experience with the former. Methods: Study patients were retrospectively recruited from Mayo Clinic (USA) databases based on the following criteria: i) diagnosis according to the International Consensus Classification (Blood 2022;140:1200); ii) documentation of JAKi therapy exposure followed by splenectomy; iii) availability of information before and after splenectomy. Splenectomy was performed as an open (n=29) or laparoscopic (n=5) surgery. Conventional statistical methods were employed for data analysis (JMP Pro 17.0.0, SAS Institute, Cary, NC, USA). Results: A total of 34 patients (median age 62.5 years, range 43-79; 59% males) were identified with splenectomies performed between 2011-2024. Mutation distribution included JAK2 62%, CALR 26%, MPL 3%, and triple negative 9%. ASXL1 mutation was present in 37% and SRSF2 mutation was present in 26% of 19 informative cases. Karyotype was very high risk in 15% and unfavorable in 12%. Median time from diagnosis to JAKi initiation was 7.5 years (0-31). Majority (76%) were treated with one JAKi; 18% had been exposed to 2 different JAKi and 6% with three JAKi. JAKi included ruxolitinib (n=27), momelotinib (n=5), pacritinib (n=3), fedratinib (n=3), and BMS-911543 JAKi (n=5). Two patients underwent allogeneic stem cell transplant (ASCT) three and six months prior to splenectomy. Prior treatment included splenic radiation in 4 patients (median 0.6 years (0.2-1.2)). Pre-operative splenic embolization was performed in 4 patients on same day of splenectomy; one patient had embolization 10 months prior to splenectomy. Median interval from diagnosis to splenectomy was 10.3 years (1.0-35.4) and from initiation of JAKi therapy to splenectomy 1.8 years (0.03-12.1). Most patients had multiple indications for splenectomy including 76% with symptomatic splenomegaly, 50% with significant cytopenia, and 18% in preparation of ASCT. At time of splenectomy, median spleen size on imaging was 25.1 cm (14.7-36) and 55% were red cell transfusion-dependent (Revised international working group criteria). Postoperative complications were reported in 22 (65%) of patients. Major bleeding occurred in 11 (32%) (of which 7 (64%) required repeat surgical exploration) and thrombosis in 9 (26%); 5 patients experienced both major bleeding and thrombosis. Other complications included infection (n=5), renal injury (n=3), and pneumothorax (n=2). At a median follow up of 1.7 years (0.01-10.2) post-splenectomy, 12 (35%) ASCT were documented at a median of 2.3 years (1.5-26.4) post-procedure. Median post-splenectomy survival was 4.3 years (5-year survival 44%) and significantly longer in transplanted patients (median not reached vs 2.6 years; 5-year survival 65% vs 22%; p=0.02). Among patients without post-splenectomy ASCT (n=22), 12 (55%) deaths (including 2 from post-operative complications) and 3 leukemic transformations were recorded. Additionally, 13 of the 22 had transfusion-dependent anemia at splenectomy and subsequently 6 (46%) became transfusion-independent (TI) (≥12 weeks without transfusion) with median TI response duration of 2.8 years (0.3-7.1). In addition, among 5 non-transplanted patients with baseline thrombocytopenia (< 50 x 109/L (16-42 x 109/L)), 4 (80%) had platelet count > 100 x 109/L (median; 170 x 109/L, range: 119-279 x 109/L) within 3 months post-procedure. Conclusions: Splenectomy following JAKi-resistant or intolerant MF is associated with improvement of transfusion-dependent anemia (46% response), resolution of severe thrombocytopenia (80%), and may allow for successful transition to ASCT (35%). However, the procedure is associated with significant perioperative complications occurring in the majority of patients and underscores the need for future collaborative studies to develop selection criteria and evaluate alternative treatment modalities.

Introduction: As therapeutic options for cancer increase at an unprecedented rate, understanding patient's awareness and attitudes is imperative to optimize their participation in shared decision making. Patient surveys are a powerful tool to gain insight into patient awareness but are cumbersome to administer on a large scale. With the advent of technology and virtual care, electronic surveys are being utilized more widely but their validity compared to approaching the patients in-person has not been established. We conducted a survey regarding awareness and preferences for clinical trials in-person and electronically and compared results systematically in a matched cohorts of patients with MM. Methods: A 52-question survey (including the domains: knowledge, trust, fear, external influence and optimism) was administered in-person to cancer patients at Mayo Clinic campuses (NCT04630431), of which patients with MM were identified for this analysis. The same survey was administered to MM patients enrolled in the online portal HealthTree® Cure Hub. Observations from the in-person and online cohorts were matched and weighted based on coarsened exact matching utilizing the “MatchIt” package based on age, gender, race, ethnicity, education, and marital status. Question responses were converted to an agreeance score scaled from 1 (Strongly Disagree) to 5 (Strongly Agree). Mean and standard deviation measurements were calculated. Weighted t-tests were conducted using these numeric scores and the matched weights. Results: Final matched cohorts included 83% (n=65) of the in-person and 69% (n=149) of the online participants. Mean age was 63.5 (± 8.5) years with 52% females for in-person vs. 65.9 (± 7.5) years and 54% females in the online participants. In-person cohort included 83% White, 14% Black and 12% Hispanic participants while online cohort had 94% White, 5% Black and 13% Hispanics/Latinos. Education level with 4-year degree or higher was reported by 66% in-person and 75% online participants. Both cohort respondents on average rated a strong likelihood of participating in a clinical trial (in-person 4.04, CI: 3.73-4.35; online 4.34, CI: 4.19-4.5). There was significant agreeance between the 2 cohorts on majority of the questionnaire domains. For basic knowledge about clinical trials, while none of the individual questions in the category were significantly different, the online group had a higher aggregate agreeance score of 3.91 vs. 3.73 for the in-person group with a significant difference of 0.18 (CI: 0.5-0.31, p=0.008). For external influence, the online group had a higher aggregate agreeance score (3.52) than the in-person group (3.15; Difference: 0.37, CI: 0.22-0.52, p<0.001), with the only question-level significant difference being for the question that regulatory agencies effectively control what is being advertised by the pharmaceutical industry (4.46 ± 0.64 vs. 3.48 ± 0.76, p<0.001). Conclusions: Online surveys are an effective tool for gaining insight into patient understanding, attitudes and awareness on a variety of topics and can be conducted efficiently on a larger scale than in-person studies, which may be more time and resource intensive. Our study provides evidence of general agreeance between a matched cohort of in-person and online survey respondents, providing validity to carefully conducted, planned online survey tools. The online cohort in our study overall had better knowledge about clinical trials and a better understanding about external influences on available clinical trial result information. These results will help boost studies to collect patient-level responses such that their beliefs and awareness can be better understood and incorporated in optimizing healthcare resource utilization.

Background Bispecific antibodies (bsAbs) have gained momentum during the last several years in the treatment of hematological malignancies. Their novel mechanism of action has resulted in improvement in outcomes of patients with hematological malignancies refractory and/or relapsing after conventional therapies. This resulted in 7 regulatory approvals of bsAbs by the US FDA to treat hematological malignancies. Excluding blinatumomab, all have gained accelerated approval through phase II trials to treat relapsed/refractory (R/R) non-Hodgkin lymphoma (NHL); primarily diffuse large B-cell lymphoma (DLBCL and follicular lymphoma (FL), and R/R multiple myeloma (MM). Although these agents are associated with overall response rates (ORR) of greater than 50% in heavily treated patients, the real-world eligibility and response to these therapies in the United States is not known. Methods We aimed to estimate the number of US patients with NHL and MM who are eligible for and may respond to FDA approved bsAbs for R/R NHL and MM. A person was considered to be eligible for treatment with a bsAb if they had the FDA approved indication and inclusion criteria. We defined response based on the best available response rate for that indication from the FDA drug label. We used the incidence rate of NHL and MM from American Cancer Society's Cancer Facts and Figures during the years each bsAb had an approval. We made assumptions to estimate eligibility by incorporating attrition rates between lines of therapy according to what is published in the literature. For NHL, we assumed 75% of NHL diagnoses are DLBCL, while 20% are FL. For DLBCL, we assumed that 30% (10% primary refractory and 20% in relapse) of newly diagnosed DLCBL would receive a second-line therapy; of these patients, we assumed that 50% would proceed to receive a bsAb as third-line therapy. For FL, we assumed that 75% of newly diagnosed FL patients are grade 1-3A; of these, 85% will require first-line treatment, and 13% of these patients will eventually relapse to receive a bsAb as third-line therapy. For MM, we assumed that 14% of newly diagnosed MM will eventually be triple class refractory (refractory to a proteasome inhibitor, an immunomodulatory drug, and a monoclonal antibody) patients potentially eligible to receive a bsAb. The calculated number of people eligible was multiplied by the overall response rate (ORR) reported in the trial that led to the bsAb approval for each year a therapy had an approval, using the highest calculated response, to estimate the population who would potentially benefit of these therapies. Results Six bsAbs were approved in the US since 2022 to treat NLH and MM: epcoritamab and glofitamab in 2023 to treat R/R DLBCL and other mature B-cell neoplasms, mosunetuzumab in 2022 and epcoritamab in 2024 to treat R/R grade 1-3A FL, and for MM, teclistamab in 2022, and elranatamab and talquetamab in 2023. All of them were authorized via accelerated approval after a phase II trial. There were 80550 and 80620 new NHL cases in 2023 and 2024, respectively, and 12640, 12590, and 12540 new MM cases in 2022, 2023, and 2024, respectively. Of these, we estimated 21033 DLCBL patients would be potentially eligible to receive bsAbs since 2023, 2733 FL patients potentially eligible to receive bsAbs since 2023, and 5666 MM patients potentially eligible to receive bsAbs since 2022. The percentage of patients per year that were potentially eligible for bsAbs was 13% for DLCBL, 8.5% for FL, and 15% for MM. Based on best available response rates from registration trials, we estimated that 9.6% and 10.5% newly diagnosed NHL and MM patients, respectively, would potentially benefit from bsAbs. Conclusions Even though CR and ORR of bsAbs are high for highly pretreated patients, we found the percentage of newly diagnosed NHL and MM patients who would become potentially eligible and would respond to these therapies to be quite low (approximately only 1 out of 10). Even though these conclusions are driven by best-case scenario assumptions and have a risk of bias, they provide insights of the actual impact and reach of these newer therapies.

Background: Follicular dendritic cell sarcoma (FDCS) is a rare low- to intermediate-grade sarcoma, typically presenting as a slowly growing, painless mass composed of spindle-shaped cells in a whorled pattern. First described in 1986, FDCS has since been identified in several hundred cases. FDCS originates from mesenchymal dendritic cells and is distinct from other histiocytic neoplasms. Its management aligns more with soft tissue sarcomas. Epidemiologically, FDCS is exceedingly rare, constituting less than 0.4% of soft tissue sarcomas. Methods: With IRB approval, we identified patients with biopsy-proven FDCS treated at Mayo Clinic. Chart review extracted clinical characteristics, laboratory testing, treatment data, and clinical outcomes, compiled into Excel. Data analysis was performed through RStudios. Descriptive statistics of patient characteristics, such as gender and stage of disease, were summarized in tables. We compared overall survival (OS) through Kaplan Meier curves, stratifying patients into cohorts based on topics of interest, such as differences in survival in nodal vs. extranodal disease or differences in survival among different chemotherapy regimens. Results: Forty patients met the inclusion criteria, of biopsy proved FCDS. Median age at diagnosis was 57.7 years (SD 14). Men comprised 45% of patients. Locations of malignancy were abdomen and pelvis (32.5%), thoracic and pulmonary regions (32.5%), lymph nodes and neck (20.0%), musculoskeletal (2.5%), and other locations (12.5%). Primary therapies included surgical resection (42.5%), systemic chemotherapy (32.5%), no treatment (10.0%), radiation (2.5%), with data missing for 12.5% of cases. Concurrent or preceding Castleman's Disease was seen in 7.5% (3/40) of patients; one case preceded FCDS, and two were concurrent. Of these patients with Castleman's Disease, one was resected and the other two were not. Two cases were unicentric, and one was multicentric. First-line systemic chemotherapy was most often gemcitabine and docetaxel, with 9/40 patients receiving this regimen. Ifosfamide and doxorubicin were utilized in 3/40 patients. 2/4 patients had received doxorubicin alone. 2/4 patients had received CHOP. The response rate for patients with gemcitabine and docetaxel was complete response for 2/9 (22%) patients, partial response for 2/9 (22%), stable disease for 2/9 (22%), progressive disease for 1/9 (11%), and missing for 2/9 (22%), giving an overall response rate of 67%. For ifosfamide and doxorubicin, one patient had partial response (33%), another had stable disease (33%), and the last patient's data was missing (33%), adding up to a 66% overall response rate. For CHOP, one patient had progressive disease, and the other had partial response. For doxorubicin, both patients had stable disease. At a median follow-up of 29.5 months (IQR 9.2-75.2 months), the median OS was 160.68 months for the group with both nodal and extranodal disease versus 39.95 months for the extranodal disease-only group. The median OS of the nodal disease alone was not reached, with an estimated 2-year OS of 75%. To evaluate the impact of various primary therapies on outcomes in patients with advanced disease, we conducted a survival analysis by therapy used (no treatment, radiation, surgical resection, and systemic chemotherapy). Patients receiving no treatment had a median survival time of 28.9 months, while those treated with radiation had a median survival time of 19.3 months. Patients undergoing surgical resection had an undetermined median survival time, but notably, 80% were alive at the end of the time period analyzed in this study with a median follow-up time of 60.7 months. Those receiving systemic chemotherapy had a median survival time of 30.7 months. Conclusions: This project is one of the largest known single-center studies dedicated to FDCS. We show that the incidence of preceding or concurrent Castleman's Disease is relatively low. Gemcitabine and docetaxel was the most utilized chemotherapy regimen, but there weren't enough data to conclude if this regimen had a better response rate compared to others. Surgical resection of advanced disease is associated with superior outcomes. When systemic therapy is needed, the median survival was lower.

Introduction: Cyclin D1, encoded by the CCND1 gene, is primarily known as a major regulator of cell cycle progression. Emerging studies have demonstrated a role for cyclin D1 in regulating gene transcription. In mantle cell lymphoma with t(11;14), cyclin D1 strongly binds to the promoters of highly transcribed genes and its overexpression led to genome-wide transcriptional downregulation. However, the transcriptional role for cyclin D1 in t(11;14) MM remains undefined. This study aims to elucidate the global chromatin and transcriptional changes induced by cyclin D1 in t(11;14) MM. Methods: Knockout (KO) of CCND1 in U266B1, a MM cell line carrying t(11;14), was performed by the Synthego (Redwood City, CA) using CRISPR/Cas9, which generated a frameshift insertion of base pair (bp) “A” after 69,641,478 bp within exon 1. Two independent KO clones were used for downstream analysis. ChIP-seq and ATAC-seq were performed for KO (n=2) and wild-type clones (WT, n=2). ChIP-seq used antibodies against H3K4me3 (promoter) and H3K4me1 and H3K27ac (enhancer). Libraries were sequenced to 2x51 bp on the Illumina NextSeq 2000 platform. Total RNA libraries (in triplicate) were sequenced to 2x150 bp. ChIP-seq and ATAC-seq reads were mapped to hg38 with BWA, and peaks were identified by MACS2 at FDR 0.01. RNA-seq reads were mapped to hg38 with STAR and gene raw counts were estimated using featureCounts. Differential peaks and differentially expressed genes between KO and WT were identified using edgeR at FDR 0.05 and fold-change 2. Only peaks present in at least 2 samples and genes having reads-per-million value 0.1 in at least 1 sample were included, excluding those from chrY. Pathway analysis was performed with the Enrichr package. Results: Differential expression analysis identified 2-fold more genes that were down-regulated than up-regulated in KO compared to WT (467 vs. 233). Pathway analysis revealed an enrichment of TNF-alpha signaling via NF-kappaB, inflammatory response, and apoptosis in association with down-regulated genes, while up-regulated genes are enriched in myogenesis, KRAS signaling, and epithelial mesenchymal transition pathway. In parallel, differential chromatin analysis identified 2.5% (1,161) of the peaks from H3K27ac and 0.5-1% (359-610) of the peaks for the other 3 marks that showed significant changes of signal levels between KO and WT. For the promoter mark H3K4me3, there are largely a comparable number of peaks showing increased (191 peaks) and decreased (168 peaks) signals, respectively, in KO compared to WT. However, for ATAC-seq and H3K4me1, about 70% of the differential peaks showed an increased signal in KO, in contrast with H3K27ac for which 60% of differential peaks showed decreased signal in KO. The preferential loss of H3K27ac occupancy is consistent with the observation of a higher proportion of genes being down-regulated in KO. These results indicated that knockout of CCND1 led to a global increase of chromatin accessibility, but a reduction of H3K27ac and gene expression. Further annotation revealed that, for H3K27ac and H3K4me1/ATAC-seq, 92% and 97% of the differential peaks were located >2kb away from the transcription start sites (TSSs) of expressed genes. Even for H3K4me3, 88% of the differential peaks are >2kb away from TSSs. The results suggest that the changes of chromatin upon CCND1 knockout predominantly occurred at distal regulatory regions. For up- and down-regulated genes, we estimated ChIP-seq and ATAC-seq signals in the TSS 2kb regions, revealing that up-regulated genes were overall associated with increased signals. Further analysis found that, for ATAC-seq and H3K4me3, 44% and 59% of the differential peaks located in the promoter regions were associated with differentially expressed genes, which dropped to ~20% for the two enhancer marks. These data indicate that changes in chromatin state impact the expression of the associated genes. Conclusion: Knockout of CCND1 impacts local chromatin state, particularly at enhancer regions, and the transcriptional program. In promoter-proximal regulatory regions, the changes of chromatin accessibility and H3K4me3 are strongly correlated with the expression changes of nearby genes. Further studies will identify the genes targeted by the differential enhancers and their possible roles in MM pathogenesis mediated by cyclin D1 following the t(11;14) event.

Introduction Oligomonocytic chronic myelomonocytic leukemia (OM-CMML) is defined by relative monocytosis ≥ 10% and an absolute monocyte count (AMC) between ≥ 0.5 and < 1.0 x109/L. The 5th ed WHO and International Consensus Classifications lowered the AMC threshold to ≥ 0.5 x10/9L for CMML diagnosis, thereby incorporating OM-CMML (Khoury, 2022; Arber, 2022). However, prior reports differ as to whether OM-CMML is a distinct CMML subtype. This multi-center study compares the clinical, molecular, and survival features of OM-CMML with myelodysplastic (MD, WBC < 13.0 x109/L) and myeloproliferative (MP, WBC ≥ 13.0 x109/L) CMML with an AMC ≥1.0. Methods After IRB approval, patients with CMML from Mayo Clinic (n = 400, 47%) and MD Anderson Cancer Center (n = 449, 53%) were identified retrospectively. Analyses considered clinical, laboratory, and next generation sequencing parameters at diagnosis or first referral (in chronic phase). Categorical variables were compared by Fisher exact or Pearson χ2 tests and continuous variables by Mann-Whitney U or ANOVA tests. Survival was assessed via the Kaplan-Meier method with outcomes censored at allogeneic stem cell transplantation (alloSCT). P < 0.05 was considered significant. Calculations used BlueSky Statistics (v10.3.1). Results A molecularly annotated cohort of 849 patients with CMML (median age 71 years, 32% female, 90% white, median follow up 31 months [mo]) was categorized as OM-CMML (n = 57, 7%), MD-CMML (n = 394, 46%), and MP-CMML (n = 391, 46%). There were no differences in age or sex across subtypes. No clinical differences were observed between OM-CMML and MD-CMML, with similar hematologic parameters, karyotype distributions, Mayo-Molecular (Patnaik, 2014) or CPSS-Molecular (Elena, 2016) risk stratifications, and rates of leukemic transformation (12% vs 12%, p = 0.98) and death (35% vs 43%, p = 0.27). Cases of OM-CMML had lower WBC counts (median 4.4 vs 24.7 x109/L, p < 0.0001), fewer circulating immature myeloid cells (23% vs 57%, p < 0.0001) and fewer marrow blasts (median 3% vs 4%, p = 0.0065) than MP-CMML. Comparatively, OM-CMML cases were overrepresented in the lower-risk groups of the CPSS-Molecular and Mayo-Molecular models (p < 0.0001). Leukemic transformation (12% vs 20%, p = 0.015) and death (35% vs 52%, p = 0.034) rates were higher in the MP-CMML cohort. Molecular profiles were similar between OM-CMML and MD-CMML, including median number of genes mutated (3 vs 3, p = 0.88). Frequencies of ASXL1 (39% vs 38%, p = 0.91), SRSF2 (48% vs 43%, p = 0.49), DNMT3A (7% vs 5%, p = 0.60), and SF3B1 (4% vs 7%, p = 0.48) mutations were also similar. TET2 mutation frequency was higher in OM-CMML (70% vs 55%, p = 0.031) and occurred in isolation more frequently (12% vs 6%, p = 0.048) compared to MD-CMML. Neither median number of TET2 mutations (1 vs 2, p = 0.87), nor TET2 variant allele fractions (41% vs 44%, p = 0.19) were different between the two groups. Compared to OM-CMML, patients with MP-CMML were more likely to have mutations in ASXL1 (39% vs 56%, p = 0.017), EZH2 (0% vs 9%, p = 0.019), JAK2 (0% vs 9%, p = 0.019), NRAS (7% vs 25%, p = 0.0024), and SETBP1 (2% vs 13%, p = 0.021). RAS family (CBL, BRAF, KRAS, NRAS, PTPN11; 25% vs 54%, p < 0.0001) and signaling pathway (CSF3R, FLT3, JAK2, SH2B3; 2% vs 14%, p = 0.0078) mutations were also more frequent whereas spliceosome mutations (SF3B1, SRSF2, U2AF1, ZRSR2; 61% vs 46%, p = 0.033) were less frequent in MP-CMML. The median (95% CI) overall survival (OS) of OM-CMML patients was 44 (38 - not reached) mo compared to 45 (34 - 60) mo in MD-CMML (p = 0.76) and 23 (20 - 29) mo in MP-CMML (p < 0.0032). Similar results were obtained when comparing the acute leukemia-free survival (LFS) of the OM-CMML (41 mo), MD-CMML (39 mo), and MP-CMML (19 mo) groups. At last follow up (medians 42 and 62 mo, respectively), 33% of evaluable OM-CMML patients had progressed to MD-CMML and 28% of MD-CMML patients had progressed to MP-CMML. No patient with OM-CMML progressed directly to MP-CMML. Conclusions These data show that OM-CMML and MD-CMML are a relatively homogenous subset of patients with similar clinicomolecular profiles and survival outcomes. Although OM-CMML patients are more likely to have TET2 mutations in comparison to other CMML subtypes, they have similar rates of disease progression as MD-CMML. This validates recent modifications to CMML classification criteria, in which OM-CMML cases are included as bona fide CMML.

Background A JAK2 mutation is detected in almost all patients with polycythemia vera (PV) and in ⁓50% of those with essential thrombocythemia (ET). The two diseases also share characteristic clinical and bone marrow morphological traits, suggesting they exist on a disease continuum rather than representing discrete entities. The objective of the current study was to compare clinical and genetic characteristics as well as long-term outcome between formally-defined PV vs. JAK2-mutated ET vs. JAK2-wild-type (WT) ET. Methods Study patients were retrospectively recruited from Mayo Clinic, USA databases (1967-2024). Diagnostic criteria were according to the International Consensus Classification (ICC; Blood 2022;140:1200). All study patients were fully annotated for JAK2, CALR, and MPL mutations while cytogenetic and additional next-generation sequencing (NGS)-derived mutation information was available in a subset of patients. Conventional statistical methods were employed for phenotypic comparisons and survival analysis. Results Among 2,010 study patients, 1,010 had PV, 617 (63%) JAK2-mutated ET, and 383 JAK2-WT ET (CALR 26%; MPL 3%; triple-negative 9%). Phenotypic comparisons revealed older age distribution in PV compared to JAK2-mutated ET (p=0.03) and the latter compared to JAK2-WT ET (p<0.01). Females were represented more in JAK2-mutated ET (69%), compared to both PV (49%; p<0.01) and JAK2-WT ET (54%; p<0.01). The frequencies of leukocytosis, palpable splenomegaly, constitutional symptoms, diabetes, hypertension, and abnormal karyotype were all significantly higher in PV, compared to both groups of ET, while JAK2-mutated compared to JAK2-WT ET displayed higher leukocyte count and incidence of hypertension. The incidences of arterial thrombosis at/prior to diagnosis were 14%, 16%, and 10% in PV, JAK2-mutated and WT ET, respectively (P=0.03), and venous thrombosis 14%, 13%, and 6% (p<0.01). After a median follow-up of 8.6 years, 632 (32%) deaths, 329 (16%) fibrotic progressions, 79 (4%) leukemic transformations, and 236 (12%) arterial and 202 (10%) venous thrombotic events were recorded, among all 2,010 study patients. Median overall survival was 19.3 years for PV vs. 17.8 years for JAK2-mutated ET vs. 23 years for JAK2-WT ET (p<0.01); however, the significant difference in favor of JAK2-WT ET was no longer apparent when analysis was adjusted for age and sex (p=0.15) and subsequently for other risk factors (p=0.86). All-inclusive multivariable analysis identified older age (p<0.01), male sex (p<0.01), higher leukocyte count (p<0.01), and arterial thrombosis history (p<0.01), but not the distinction between PV, JAK2-mutated, and JAK2-WT ET (p=0.9), to be independently associated with shortened survival. Leukemia-free survival was similar between PV and either JAK2-mutated (p=0.5) or JAK2-WT (p=0.1) ET. On the other hand, myelofibrosis-free survival was shorter in PV, compared to both JAK2-mutated (HR 1.8, 1.4-2.4; p<0.01) and JAK2-WT (HR 1.4. 1.0-1.8; p=0.03) ET. In multivariable analysis, older age (p<0.01), higher leukocyte count (p<0.01), PV vs. JAK2-mutated ET (HR 1.8; p<0.01), and JAK2-WT vs. JAK2-mutated ET (HR 1.6; p=0.01) were associated with a higher risk of fibrotic progression, with no difference noted between PV and JAK2-WT ET (p=0.4). Arterial thrombosis-free survival was similar between PV and JAK2-mutated ET (p=0.8). In univariate analysis, JAK2-WT ET vs. PV was associated with superior arterial thrombosis-free survival (p=0.02), but significance was lost when analysis was adjusted for arterial thrombosis history (p=0.1). Venous thrombosis-free survival favored JAK2-WT ET vs. PV (HR 0.3; p<0.01) and JAK2-mutated ET (HR 0.6; p=0.02) and the latter vs. PV (HR 0.6; p<0.01); the significant differences between PV and both groups of ET were sustained when analysis was adjusted for age, sex, and venous thrombosis history. Conclusions The current study highlights significant demographic and phenotypic differences between PV and JAK2-mutated ET. However, risk factor-adjusted overall, leukemia-free, and arterial thrombosis-free survival was not inferior in PV, compared to ET, regardless of the presence or absence of a JAK2 mutation in the latter. JAK2-WT ET was distinctly associated with a lower risk of venous thrombosis while JAK2-mutated ET appeared to be less vulnerable to fibrotic progression.

Background DISC-0974 is a monoclonal antibody that targets hemojuvelin, a co-receptor to BMP-SMAD signaling that stimulates hepcidin production. In healthy volunteers, DISC-0974 has been shown to be safe and induce dose-dependent decreases in serum hepcidin and corresponding increases in serum iron and absolute reticulocyte count (JCP 2024). Serum hepcidin level is abnormally elevated in myelofibrosis (MF) and is believed to contribute to iron-restricted erythropoiesis (AJH 2013:88:312). In an ongoing phase 1/2 study in MF (NCT05320198), DISC-0974 was well tolerated and associated with marked reduction in serum hepcidin levels and improvement in anemia (Blood 2023;142/DOI 10.1182). The current investigator-initiated laboratory correlative study examined the impact of mutations and baseline cytokine levels on anemia response to DISC-0974, in non-transfusion-dependent (nTD) patients with MF. Methods The current study was conducted under an institutional review board approved minimum risk protocol that allowed retrospective collection and analysis of data from Mayo Clinic patient records (Rochester, MN, USA). Study patients were selected from the aforementioned ongoing phase 1/2 study, based on availability of information on mutations and baseline cytokine levels. Definitions of nTD and anemia response criteria were according to the revised international working group (IWG) criteria (Blood 2024; in press): i) nTD was defined as the presence of ≤2 units transfused in the 12 weeks prior to enrollment; ii) a 12-week rolling average increase of hemoglobin by ≥1.5 or 1-1.4 g/dL is required for major and minor response, respectively. Mutation and cytokine analyses were performed according to institutional standard protocols; next-generation sequencing panel included 48 genes and cytokine panel 12 inflammatory cytokines. Results A total of 21 nTD patients with MF (median age 71 years; males 62%) were considered: 15 primary and 6 secondary. Driver mutation distribution was JAK2 52%, MPL 14%, and CALR-1 33%. DIPSS risk distribution was high (10%) and intermediate-2 (90%). Baseline median (range) values were 8.0 g/dL (range 7.1-9.5) for hemoglobin, 266 (41-1221) for serum ferritin, 79 (32-130) for serum iron, 32 (13-49) for transferrin saturation, and 59 (10-913) for serum erythropoietin. Karyotype was favorable (N=18) or unfavorable (N=2). Other mutations, included ASXL1 (N=5), SF3B1 (N=4), SRSF2 (N=1), U2AF1 (N=1), and “none of the above” (N=5). Elevated cytokines at baseline included TNF (90%), IL-18 (43%), IL-2R alpha (34%), IL-6 (24%), and MCP-1 (14%). DISC-0974 dose levels were 28 mg (N=2), 50 mg (N=7), 75 mg (N=7), and 100 mg (N=5). Twelve (60%) patients were on DISC-0974 monotherapy while 9 (40%) received concomitant ruxolitinib (N=5), pacritinib (N=1), or hydroxyurea (N=3). At median follow-up of 6 months (range 2-14), one (5%) patient has discontinued DISC-0974 for lack of response. Details on drug safety are summarized in another abstract (Gangat et al. ASH 2024). Per IWG criteria, 9 (43%) patients achieved major (MR) and 3 (14%) minor responses, resulting in an overall response (OR) rate of 57%. Two additional patients have surpassed the hemoglobin threshold for major response (≥1.5 g/dL) but have not yet met IWG criteria. OR and MR rates were higher in patients receiving DISC-0974 as monotherapy (OR 75% and MR 58%) vs. combined with JAK2 inhibitor or hydroxyurea (OR 33% and MR 22%) (p=0.05 for OR and 0.09 for MR), ASXL1 wild-type (N=15; OR 67% and MR 53%) vs. mutated (N=6; OR 33% and MR 17%) (p=0.16 for OR and 0.11 for MR), no ASXL1/SRSF2/U2AF1/SF3B1 (N=5; OR 100% and MR 80%) vs. at least one mutated (N=16; OR 44% and MR 31%) (p<0.01 for OR and 0.05 for MR). OR was also higher in the presence of elevated MCP-1 (p=0.05) or elevated IL-2R alpha (p=0.05) and MR in the presence of elevated IL-2R alpha (71% vs. 29%; p=0.06). Conclusions: The current study suggests that ASXL1 mutation might attenuate but not abrogate anemia response to DISC-0974, in MF. Elevated inflammatory cytokines in MF are often associated with increased hepcidin levels (AJH 2013:88:312) and this might explain their association with a higher response rate to DISC-0974, observed in the current study. Regardless, it is important to note that these observations represent preliminary data from a subset of patients from an ongoing clinical trial.

Background Absolute basophil count (ABC) might be increased in patients with myeloproliferative neoplasms and has been associated with poor prognosis in chronic myeloid leukemia (CML) and, possibly, primary myelofibrosis (PMF, Front. Oncol 2019;9:872). In a Mayo Clinic survey of 382 patients with BCR::ABL1-negative leukocytosis and ABC ≥0.09 x 109/L, 191 (50%) were associated with myeloid neoplasms, including 104 (27%) with CML, 23 (6%) essential thrombocythemia, 21 (6%) polycythemia vera (PV), and 18 (5%) PMF (AJH 2020;95:E216). Herein, we tapped into a well-characterized cohort of patients with PV, in order to describe the prevalence of basophilia, at specific ABC thresholds, and corresponding clinical, molecular, and prognostic correlates. Methods Study patients were retrospectively recruited from Mayo Clinic (USA) databases, after approval from IRB. Diagnostic criteria were according to the International Consensus Classification (Blood 2022;140:1200). Study inclusion criteria included the availability of information on ABC and absolute eosinophil count (AEC). Mayo Clinic institutional reference range for ABC was 0.01 to 0.08 x 109/L and for AEC 0.03 to 0.48 x 109/L. “Eosinophilia” was defined as an AEC of ≥0.6 x 109/L. Basophilia was evaluated both at an ABC of ≥0.1 x 109/L and ABC of ≥0.3 x 109/L, the latter representing 3 x the upper limit of the normal reference range. Cytogenetic information obtained within one year of diagnosis was available in 270 patients. Next-generation sequencing information collected before disease transformation was available in 99 patients. Conventional statistical methods were employed for comparisons of groups and survival analysis (JMP Pro 17.0.0 software SAS Institute, Cary, NC, USA). Results Information on ABC and AEC, obtained within one year of diagnosis, was available in 478 patients (median age 66 years; males 51%). Median values at presentation were 10.6 x 109/L for leukocyte count, 453 x 109/L platelet count, and 17.3 g/dL hemoglobin level. Presenting symptoms included palpable splenomegaly 24%, pruritus 31%, arterial thrombosis 12%, and venous thrombosis 17%. Median and range values for ABC and AEC were 0.12 x 109/L (0-3.2) and 0.27 x 109/L (0-6.5), respectively. ABC was ≥0.3 x 109/L in 80 (17%) patients and ≥0.1 x 109/L in 315 (66%). AEC was ≥0.6 x 109/L in 68 (14.6%) patients. ABC≥0.3 x 109/L was associated with AEC ≥0.6 x 109/L (p<0.01), leukocytosis (p<0.01), and palpable splenomegaly (p=0.02), but not platelet count, pruritus, smoking history, diabetes, or arterial or venous thrombosis; in multivariable analysis, the association with leukocytosis, but not that with splenomegaly, was confirmed. At a median follow-up of 5.7 years (range 0.03-32.8), 132 (28%) deaths, 17 (3.6%) leukemic and 40 (8.4%) fibrotic progressions were documented. Post-diagnosis events also included arterial (7%) and venous (9%) thrombosis. In univariate analysis, neither ABC (p=0.8, 0.7, and 0.96) nor AEC (p=0.7, 0.6, and 0.8), evaluated as continuous variables, affected overall (OS), leukemia-free (LFS), or myelofibrosis-free (MFFS) survival, respectively. Similarly, eosinophilia at AEC ≥0.6 x 109/L did not appear to influence OS (p=0.99), LFS (p=0.6) or MFFS (p=0.5). On the other hand, although basophilia at ABC≥0.3 x 109/L did not affect OS (p=0.27), it was significantly associated with inferior LFS (HR 6.5, 95% CI 2.3-18.0; p<0.01) and MFFS (HR 2.3, 95% CI 1.2-4.5; p=0.01); the corresponding p values for ABC≥0.1 x 109/L were 0.7, 0.1, and 0.17. The detrimental impact of basophilia (ABC≥0.3 x 109/L) on LFS was confirmed (P<0.01) with multivariable analysis that included other clinical variables, including leukocytosis (NS), platelet count (NS), basophil percentage (NS), age (p<0.01), and palpable splenomegaly (p<0.01). Results were similar during multivariable analysis for MFFS with palpable splenomegaly (p<0.01), ABC≥0.3 x 109/L (p=0.03), and age (p=0.05) sustaining independent predictive value. The number of informative cases was too small to evaluate prognostic interaction with mutations and karyotype. Conclusions: Basophilia in PV is associated with palpable splenomegaly and leukocytosis and independently predicts leukemic and myelofibrotic transformation. Additional studies are needed to confirm these observations and examine prognostic interaction with mutations and karyotype.

Background: Age-related clonal hematopoiesis (ARCH) is a precursor state to blood cancers and is associated with epigenetic age acceleration (EpiAgeAccel) (Aging Cell, 2021). While ARCH in combination with AgeAccel has the highest risk for all cause mortality and cardiovascular disease, not much is known about context-relevant clonal hematopoiesis (CRCH) - CH occurring in the context of prior chemo/radiation, bone marrow failure and germline predisposition syndromes. CRCH has a unique mutational signature enriched in genes in DNA damage response and repair (TP53 and PPM1D). To answer this question, we assessed EpiAge in a prospective cohort of patients with both ARCH and CRCH. Methods: Patients were prospectively recruited for CH and EpiAge assessment from the Mayo Clinic CH clinic between 2022 and 2024. Demographic and clinical data including chronologic age, BMI, sex, blood counts, and medical history were recorded at the time of enrollment. CH status was determined using error corrected sequencing on peripheral blood (PB) DNA. All somatic variants with a variant allele frequency (VAF) ≥0.5% were considered as CH. For EpiAge analysis PB DNA was analyzed using the Illumina MethylationEPIC array. The resulting beta values were used to obtain epigenetic age estimates using Horvath's clock (Genome Biol., 2013), Hannum's Clock (Mol Cell., 2013), PhenoAge (Aging, 2018), DunedinPACE (eLife, 2022), and predicted telomere length (Aging, 2019). Results: 106 (62%) of 170 patients assessed were found to have CH, with the most frequent mutations being TET2 (19%), PPM1D (17%), DNMT3A (16%), ASXL1 (9%), and TP53 (6%); median VAF 9.5%. Except for a higher median chronologic age (68 vs 60 years, p<0.001) in the CH group, baseline characteristics including BMI, comorbidities, baseline blood counts, sex and tobacco use history were similar between the two groups. The CH group demonstrated significant EpiAgeAccel by all three clocks: Horvath (p=0.001), Hannum (p<0.001), and PhenoAge (p<0.001); with an increase in biological age of 4.9 years (95% CI 2-7.7) by Horvath clock, 4.8 years (95% CI 2.2-7.5) by Hannum clock, and 7 years (95% CI 2.9-10.5) by PhenoAge, after adjusting for chronologic age, sex, smoking status, and cancer history. CH was also associated with increased DunedinPACE of aging by 0.13 biological year per chronologic year (bioyear/chronoyear) (95% CI 0.06-0.2, p<0.001), and shortened telomere lengths by 0.24kb (95% CI 0.11-0.35, p<0.001) after adjusting for chronologic age and excluding patients with telomere biology disorders. CH patients were then further classified into ARCH-63 (59%) and CRCH-43 (41%). While the median chronological age (69 vs 67 years) was similar between the 2 groups, CRCH patients had lower Hgb [10.9g/dL vs. 13g/dL (p=0.0001)] , lower platelet [146x109/L vs. 192x109/L (p=0.0132)] and lower WBC [4.4x109/L vs. 5.2x109/L (p=0.0345)]. The median BMI, comorbidities, and tobacco use history were similar between the 2 groups. The 3 most common ARCH mutations were TET2 (20%), DNMT3A (19%), and ASXL1 (14%), while, PPM1D (27%), TET2 (18%), and DNMT3A (14%) were frequent in CRCH. There was no significant difference found in median EpiAge via Horvath (68 vs 67.5years p=0.2826), Hannum (65 vs 66 years p=0.9333), or PhenoAge (55 vs 56 years p=0.618) between ARCH and CRCH. However, DunedinPACE of aging was higher in CRCH (1.27 vs 1.18 bioyear/chronoyear p=0.0148) and median telomere length was shorter in CRCH (6.35 vs 6.49kb p=0.0247), in comparison to ARCH. Multivariable regression analysis was completed for both ARCH and CRCH compared to non-CH, adjusting for chronologic age, smoking status, and male sex. While both ARCH and CRCH demonstrated EpiAgeAccel via Horvath(5.8years p=0.0001, 3.4 years p=0.051), Hannum(5years p=0.001, 4.5 years p=0.007), and PhenoAge (6.7years p=0.002, 7.6 years p=0.002) clocks, CRCH more than doubled DunedinPACE (0.2 bioyear/chronoyear, p<0.001) of aging compared to ARCH (0.08 bioyear/chronoyear, p=0.026). CRCH also demonstrated double the decrease in telomere length (0.34kb, p<0.001) compared to ARCH (0.17kb, p=0.015). Conclusion: Our prospective CH cohort study validates the association between CH and EpiAgeAccel using several different methylation clocks and for the first time, highlights increased pace of aging and shorter telomere lengths in CRCH versus ARCH. Correlations with cardiovascular disease and mortality outcomes are ongoing.