Citations

Abstract Introduction: Inherited & acquired bone marrow failure syndromes (BMFS) have “stress erythropoiesis” with macrocytic anemia, elevated fetal hemoglobin (HbF) & erythropoietin (EPO) levels. The degree of HbF elevation & its capacity to discriminate between patients with inherited & acquired BMFS needs to be systemically studied. Genetic testing is often delayed & it is important to establish an early clinical diagnosis to make clinical decisions such as initiation of immunosuppressive therapy. Methods: After institutional review board approval, we compiled a clinically & genetically well-annotated cohort of patients with BMFS evaluated at Mayo Clinic. All patients were required to have at least cytopenia(s) & evidence of low or variable bone marrow cellularity upon a bone marrow evaluation. Patients with pre-clonal or malignant disorders were excluded. Clinical diagnoses were independently verified for accuracy. Detailed clinical & laboratory features were recorded. Germline genetic testing was performed as clinically appropriate on peripheral blood or bone marrow samples through targeted panels. Distribution of continuous variables was statistically compared using nonparametric (Mann-Whitney or Kruskal-Wallis) tests, while nominal variables were compared using the Chi-Square test. Kaplan-Meier estimate of overall survival (OS) was computed from the date of diagnosis to date of death or last follow-up (also censored at the time of allogeneic hematopoietic stem cell transplant). Results: Between years 1998 - 2023, 129 patients met criteria for inclusion in the study. Among these, clinical diagnoses included immune-mediated aplastic anemia (AA, n=56, 43%, 21% severe or very severe as per the Camitta criteria), telomere biology disorders (TBD, n=37, 29%), Fanconi anemia (n=10, 8%), GATA2 haploinsufficiency (n=8, 6%), Diamond-Blackfan anemia (DBA, n=2, 2%), deficiency of adenosine deaminase-2 (DADA2, n=2, 2%), congenital dyserythropoietic anemia (CDA, n=1, 1%), congential amegakaryocytic thrombocytopenia (CAMT, n=1, 1%), Schwachman-Diamond syndrome (n=1, 1%) & undefined (n=11, 9%). Among the inherited group, 63% had an identifiable germline pathogenic variant (most commonly, TERT/TERC 30%, FANC group 25% & GATA2 15%) with the rest diagnosed on a clinical basis. Elevated HbF >1% was noted in 79% of all BMFS patients; 83% AA, 70% TBD, 50% in DADA2 & 67% in undefined patients (no data was available for other inherited subtypes). In patients with an elevated HbF, absolute monocyte count (p=0.04) was significantly higher; however, there were no other significant associations with variables at diagnosis such as hemoglobin (p=0.5), white blood cell count (WBC, p=0.14), absolute neutrophil count (p=0.5), platelet count (p=0.7), mean corpuscular volume (MCV, p=0.2), absolute lymphocyte count (p=0.1), absolute reticulocyte count (p=0.4), EPO level (p=0.3), presence of a PNH clone (p=0.2), or presence of a germline variant (p=0.3). When diseases were grouped into inherited & acquired (AA) subgroups, median HbF was not significantly different (median%, 4.5 versus 2.3, p=0.4), with elevated HbF (>1%) in 75% versus 83% (p=0.6) patients respectively. On the other hand, minor PNH clone (>0.1% in at least two cell types) was detectable in the acquired group only (0 versus 55%, p<0.0001). Similarly, acquired group had a shorter (<3 months) onset of cytopenias preceding diagnosis (P<0.0001), with no significant differences in MCV (p=0.2), marrow dysplasia (p=0.09) or atypia (p=0.6), & splenomegaly (p=0.9). At median follow-up of 7 years, Kaplan-Meier estimate of transplant-censored median OS was lower in inherited versus acquired group (16 years versus median not reached, p=0.02). Elevated HbF did not significantly predict adverse OS in either group. Conclusions: Fetal hemoglobin is elevated in both patients with inherited & acquired (aplastic anemia) BMFS. When compared to established variables, elevated HbF has neither diagnostic utility nor prognostic relevance in predicting adverse outcomes. On the other hand, onset of cytopenias and presence of a minor PNH clone are both useful clinical variables in differentiating patients with inherited from acquired BMFS. Our data offers practical clinical utility in making early treatment decisions for patients with BMFS.

Abstract The importance of bone marrow (BM) microenvironment and its immune interactions within and their role in chronic myelomonocytic leukemia (CMML) disease progression have not been well studied. Our previous work in CMML identified type 1 helper T cell (Th1) and CD4 terminal effector cell suppression in peripheral blood from untreated patients, in comparison to age-matched normal controls (Mangaonkar A et al. Blood Adv 2020). Furthermore, clonal dendritic cell (DC) aggregates in CMML are present in approximately 20-30% patients at diagnosis, display significant cell heterogeneity (plasmacytoid DCs + myeloid DCs and other myeloid/immune cells), express indoleamine 2,3-dioxygenase-1 (IDO), associate with T regulatory cell (Treg) expansion, and transformation to AML [blast transformation or BT, Lucas N et al. Leukemia 2019, Mangaonkar A et al. Blood Adv 2020, and Mangaonkar A et al. Blood 2023 (abstract)]. The purpose of this study was to define the myeloid-immune cell interactions within the BM microenvironment critical for CMML progression to AML. To phenotypically identify cell types and their interactions within the CMML BM, we used single-cell type spatial omics through two distinct modalities on archival formalin-fixed paraffin-embedded (FFPE) BM biopsy specimens. Ten serial CMML samples at chronic phase [CP, n=5, median BM blast% 5 (2-15)] and at BT [n=5, median BM blast% 60 (25-74)] were used for both techniques. Spatial transcriptomics was conducted through GeoMx Digital Spatial Profiler (DSP) platform that uses UV-photocleavable, spatial-barcoded oligo probes to profile the whole transcriptome in defined regions of interest (ROI). CD123 (marker for DC-myeloid aggregates) immunofluorescence antibody was used to identify and segment ROI. 16-color flow cytometry was done to validate cell-specific expression. Spatial cellular phenotyping of immune cells on the same samples (serial cuts) was done through multiplex imaging by co-detection by indexing (CODEX) using 27 markers: CD31, Ki67, CD11b, CD20, CD44, Ecad, CD123, CD107a, CD8, CD11c, CD45RO, FoxP3, CD14, PDL1, CD56, CD68, CD163, PD-1, CD38, HLA-DR, CD4, IDO, CD45, PanCK, Na/K/ATPase, CD3e, and DAPI. CD8T+ cell anergy was demonstrated through CFSE cell proliferation assay. Benjamini-Hochberg correction was used to adjust for multiple hypotheses. After filtering poor quality ROIs [ROIs with total read count < 1000 were removed, ROIs with trim, stitch, alignment < 80% or saturation < 50% were removed], 3rd-quartile normalization [BiocGenerics (v. 0.48.1)] and batch correction [limma (v. 3.58.1)], we compared transcriptomics signatures between CD123+ and CD123- ROIs in all samples. Results showed that LIPA, SLC4A1, HBA2, TIMD4 and HMOX1 werethe top five genes upregulated in CD123+ areas. Among all gene transcripts, TIMD4 expression increased the most (Log2FC=0.6, P-value=8.79E-10, FC=1.52, FDR=1.68E-07) when CD123+ ROIs were compared between CMML-CP and CMML-BT serial samples, suggesting a biological relevance in disease progression. Previous work in metastatic peritoneal cancer has established that TIM-4 expressing macrophages suppress Th1/Th2 ratios and impair CD8+ T cell function (Chow A et al. Cancer Cell 2021). To confirm expression at the protein level, we used a multicolor flow cytometry panel and confirmed that TIM4 is expressed on macrophages (Lineage-negative, HLA-DR+, CD68+ cells) in independent CMML BM aspirate samples (n=3). Next, we conducted spatial phenotyping using CODEX on serial cuts from the same serial samples used for spatial transcriptomics. Anatomical co-localization of macrophages with leukemic cells, monocytes and T cells was visually inspected and confirmed. Cell-interaction analysis (after Benjamini-Hochberg correction) indicated that macrophages-monocyte, macrophage-leukemic cells, and macrophage-memory CD4+T cells were significantly (P<0.05) increased in CMML-BT versus CMML-CP. CD8T+ cell anergy was confirmed through a CFSE cell proliferation assay in untreated CMML PBMC samples. In conclusion, our data suggests that TIM4-expressing macrophages and their interactions with monocytes/monocyte precursors and immune cells within a DC aggregate create a protective leukemic stem cell niche and T cell tolerance, promoting blast transformation in CMML.

Abstract Introduction: Somatic mutations in splicing factors (SF) - SF3B1, SRSF2, U2AF1, and ZRSR2 – represent one of the most common drivers of premalignant clonal hematopoesis. While SF mutations are potent drivers of clonal expansion (Fabre et al., Nature 2022), multiple SF mutations are rarely observed in the same individual (negative epistasis). Prior studies have identified rare cases of concurrent SF mutations (<4%) and described specific hotspot combinations that escape negative epistasis (Taylor et al., Blood 2020). We conducted this study to further characterize the frequency and clonal relationship between concurrent SF mutations using a larger patient cohort. Methods: After IRB approval, we assessed 3,369 myeloid next generation sequencing (NGS) results that identified somatic variants in SF3B1, SRSF2, U2AF1, or ZRSR2, in 2,500 adult patients from 08/2015 to 07/2025. Patient demographics, ICD-9/10 codes, and complete blood counts with differentials were obtained, retaining only those datapoints assigned 30 days before or after NGS testing. To allow comparison of clone size between autosomal and the X-linked SF ZRSR2, VAFs were multiplied by two to estimate the cancer cell fraction (CCF), except for ZRSR2 mutations in males. For patients harboring concurrent SF mutations, we categorized them as co-dominant if the difference in respective CCFs was < 10% of the greater CCF. Specific SF variants were categorized into common hotspots (n=13), except for ZRSR2 variants, which do not occur in defined hotspots. Fisher's exact testing was used to assess the enrichment of SF hotspot variants in patients with concurrent SF mutations, as well as combinations of SF variants in patients with co-dominant SF mutations. Results: We identified 2,331 patients with at least 1 pathogenic SF mutation, of which 6.7% (n=156) had > 1 SF mutation (multi-SF MT). The total cohort comprised cases of AML (n=549, 24%), MDS (n=977, 42%), MDS/MPN (n=233, 10%), MPN (n=228,10%), and uncategorized ICD codes (“Other”, n=326), of which the largest category was clonal cytopenia(s). Notably, the prevalence of multi-SF cases was higher than previously described and our cohort included 5 patients with 3 SF mutations and 1 with 4 SF mutations. Of the multi-SF MT patients, we identified 42 (27%) with co-dominant CCFs among their respective SF mutations. Thirty-three multi-SF MT patients had multiple NGS sampling timepoints (median 2, range 2-4) spanning a median of 0.97 years (range 0.06-5.69 years); we found that 17 of these 33 demonstrated correlative SF CCFs over multiple timepoints, suggesting their SF mutations occurred in the same clone (“co-clonal”). Of these 17 patients, 82% had co-dominant CCFs at the single-timepoint level, whereas none of the 16 non-co-clonal demonstrated co-dominance. Thus, we used SF co-dominance as a surrogate for cases likely to be co-clonal. ZRSR2 (p=8.8x10-29), U2AF1Q157 (p=9.4x10-9), SF3B1K666 (p=1.4x10-4) and infrequent SF3B1 (“SF3B1-Other”, p=.0029) mutations were overrepresented in the multi-SF MT cohort compared to patients with a single SF mutation. Within the multi-SF MT cohort, 3 SF mutation combinations showed overrepresentation in codominant cases – SRSF2P95R/H/L+ ZRSR2 (p=0.014), SRSF2P95R/H/L+ SF3B1K666 (p=0.044), and U2AF1S34 + U2AF1Q157 (p=0.024), although not significant after multiple hypothesis correction. Dual ZRSR2 mutations were the most common combination seen in the multi-SF MT cohort but were underrepresented in codominant cases (p=0.025). Although there was no disease subtype uniquely associated with total or co-dominant multi-SF MT cases, occurrence of multiple SF mutations was more common in males (8% vs. 3% in females), an effect driven by ZRSR2 mutations. Hemoglobin and WBC were lower in multi-SF MT cases, with the lower hemoglobin strongly driven by the codominant multi-SF MT cases (median 8.3 g/dL vs 9.4 g/dL, p=0.00046). Conclusions: These findings suggest that SF mutation co-occurrence in myeloid neoplasms is more prevalent than previously estimated (~7%). Furthermore, we identified 6 individuals harboring > 2 SF mutations, which has not been previously described. We validate specific SF variant pairs that appear to exist in the same clone and are working to confirm the clonal architecture and characterize global splicing aberration in selected cases with single-cell studies to fully uncover the mechanism by which negative epistasis is overcome.

Abstract Background: Germline predisposition states (GPS), including inherited bone marrow failure syndromes (IBMFS) are seen in 5-10% of individuals with myeloid neoplasms (MN). Given overlap with somatic driver genes, blood, saliva, and buccal swabs are suboptimal specimens for GPS testing in MN; the latter two due to contamination with blood cells(Jerez, 2024). Skin biopsy with fibroblast culture-derived DNA remains the gold standard, but the process is expensive, takes 6-8 weeks to complete, and fibroblast culture failure can occur in some patients with telomere biology disorders. Given the need to rapidly screen donors for HSCT and adjust therapy/conditioning in certain IBMFS, we developed a rapid hematologic germline testing algorithm using hair follicle-derived DNA. Methods The study was conducted after IRB approval through the Mayo Clinic GPS/IBMFS clinic. To perform PCR-based hair follicle testing, we obtained 15-25 hair follicles (bulbs) per patient. The bulbs were placed in a microcentrifuge tube and subjected to a 24-hour digestion and extraction protocol using a modified version of the QIAGEN DNA Purification from Dried Blood Spots protocol. DNA quality was assessed by Nanodrop and Qubit.Testing included either validation of known or suspected germline variants (e.g., RUNX1, DDX41, ETV6), or panel testing (e.g., GPS or IBMFS). Pathogenic variants were validated by repeat testing in a CAP/CLIA certified lab prior to medical decision making. 23 patients underwent whole exome sequencing (WES) in a CAP/CLIA lab, and 13 patients had concurrent germline testing using alternate DNA sources (8 skin biopsies, 1 saliva, 4 buccal swabs). Results Ninety-three patients (49 male, 53%) underwent hair follicle-derived germline DNA testing (median age 63 years). Indications for germline testing included the presence of a suspected variant on somatic testing with variant allele frequency (VAF) between 35%-60% ( n= 66, 71%), patient age <50 years (n=26, 28%), antecedent thrombocytopenia (n=15, 16%), presence of syndromic features (n=4, 4%), patient history of multiple malignancies (n=4, 4%), and positive family history (n=15, 16%). Time to reporting variants after receipt of hair follicle-derived DNA was <14 days. There were zero complications associated with the procedure. DNA quality as assessed by Nanodrop revealed a median nucleic acid concentration of 25.64 ng/μL. The median A260/A280 ratio was 1.86 (range 0.701-2.133) and the median A260/A230 ratio was 1.27 (range -8.193-9.223). DNA quality was insufficient for chromosomal microarray (CMA) assessments. Of 93 patients evaluated, 67 (72%) had ≥1 germline variant, with 3 having >1 germline variant for a total of 72 variants. Pathogenic/likely pathogenic variants identified included: DDX41 (30, 41.7%), TP53 (4, 5.6%), ANKRD26 (4, 5.6%), RUNX1 (4, 5.6%), GATA2 (3, 4.2%), TERT (3, 4.2%), JAK3 (2, 2.8%), SAMD9/SAMD9L (2, 2.8%), ATM (2, 2.8%), and 1 each (1.4%) in BCL2, BCOR, BPGM, CDKN2A, CEBPA, CHEK2, CSF3R, CXCR4, DNMT3A, ETV6, GATA1, MPL, MPO, POT1, PTPN11, RPL5, and SH2B3. In the 13 patients that had concurrent germline testing, results were identical in all cases, except for 1 false negative in a buccal specimen (PTPN11) and 1 case of germline mosaicism, where the TP53 variant was identified in the blood and hair follicle DNA but not in skin fibroblast DNA. After testing, 30 (44.7%) patients had a change in their management plan: 8 (27%) with DDX41-GPS were observed due to known latency of DDX41-mutant MN, 6 (20%) were referred for HSCT based on the germline variant (CEBPA, DDX41, GATA1, GATA2, RPL5, TP53), 6 (20%) were placed on an enhanced surveillance plan for cancer screening (1 ANKRD26, 3 TERT, 2 TP53), 4 (13%) patients undergoing HSCT had related donors removed from consideration as they were carriers (2 DDX41, 1 ANKRD26, and 1 SAMD9), 2 (7%) patients with neutropenia and underlying germline variants (1 ATM, 1 DDX41) had G-CSF therapy discontinued due to concerns for clonal stimulation, and 1 (3%) patient with a germline CDKN2A mutation (hematological diagnosis- CMML) was recommended to avoid radiation therapy for prostate cancer. Conclusion In summary, we validate a rapid and simple hair follicle-derived DNA based germline assessment for patients with hematological disorders and demonstrate a positive impact on clinical care in 44% of patients. We are currently optimizing DNA quality so that germline copy number alterations can be better detected using CMA.

Abstract Introduction: TERT promoter (pTERT) variants are among the most frequent genetic alterations in human cancers, where they drive oncogenesis through telomerase reactivation. However, somatic, pathogenic pTERT variants have also been seen in non-cancerous conditions such as telomere biology disorders (TBD), where they attempt to rescue the bone marrow failure phenotype (adaptive compensation). We conducted this study to assess the phenotype and outcomes of pTERT mutations in TBD patients. Methods: After IRB approval, the Mayo Clinic institutional TBD database was queried to identify all patients with somatic pTERT mutations. We have designed a customized error corrected sequencing panel that covers somatic mutations (52 genes) associated with adaptive and maladaptive outcomes in TBD patients. This covers the promoter region for TERT and can detect variants down to 0.5% variant allele fraction (VAF) with 10,000 X sequencing depth. Clinical data was retrospectively abstracted. Results: We identified 7 pTERT variants (3 hotspots) in 6 (two females (33%), mean age 61 years, 4 alive). The three hotspots were: (1) c.-57A>C (2 individuals, mean VAF 17.1%; range 11.6%-22.6%), (2) c.-124C>T (4 individuals, mean VAF 12.9%; range 1.9%-41.3%), and (3) c.-146C>T (1 individual, VAF 1.2%). One individual had both the c.-124C>T (VAF 41.3%) and the c.-146C>T somatic pTERT variants, occurring in the context of a germline TERT variant. The median VAF for all 7 pTERT variants was 6.1% (range 1.2%-41.3%). The hotspot, c.-57A>C, occurred in the context of pathogenic germline TERT (VAF 49.9%) variants with pathogenic somatic co-variants in PPM1D (avg. VAF 1.5%). The second hotspot, c.-124C>T, occurred in the context of germline TERT (avg. VAF 49.6%) and RTEL1 (VAF 47.3%) variants with pathogenic somatic co-variants including ASXL1 (VAF 1%), DNMT3A (VAF 8%), and PPM1D (VAF 4%). Five of six assessable patients with pTERT variants had shortened telomere lengths (TL), with results pending for one individual. Among those with the c.-57A>C variant, granulocyte TLs were at or below the 10th percentile, while lymphocyte TLs were below the 10th percentile in one patient and below the 1st percentile in another. For those with the c.-124C>T variant, all granulocyte TLs were below the 1st percentile. Lymphocyte TLs in this group included one at the 10th percentile and two at or below the 1st percentile. The median follow up for all patients was 2 years. Hotspot 1 (c.-57A>C) variants were associated with normocellular bone marrow biopsies with one patient having normal blood counts and the other having chronic macrocytic anemia (grade 2) and thrombocytopenia (< grade 1). In patients with hotspot 2 and 3 somatic variants, bone marrow cellularity ranged from 15–50% (1 patient had grade 2-3 hypocellularity), with normal bone marrow morphology, except for polytypic plasma cells (10–15%) identified in a patient with IgG kappa multiple myeloma (currently MRD negative on maintenance therapy). This patient also had a history of head and neck cancer and follicular lymphoma. Of these four patients, only one had normal blood counts (co-occurring c.-146C>T variant); the rest had cytopenias (n=3, the worst being grade 2 thrombocytopenia), progressive macrocytosis (n=3), or eosinophilia (n=1). Comorbidities encountered in these patients included myasthenia gravis (1), hypogonadism (1), and sarcoidosis (1). Moreover, four patients (2 each for hotspots 1 and 2) presented with idiopathic pulmonary fibrosis, while liver fibrosis was seen in 4 patients (also 2 each for hotspots 1 and 2). At last follow up, none of these patients had documented progression to myelodysplastic syndrome or acute myeloid leukemia. Conclusions: We describe the spectrum and clinical features of somatic pTERT mutations in TBD patients. pTERT mutations involved the following hotspot regions, c.-124C>T, c.-146C>T, and c.-57A>C, and co-occurred with other somatic variants (i.e., PPM1D and DNMT3A). None of the 6 patients with pTERT mutations had a severe bone marrow failure phenotype or developed myeloid neoplasms at last follow up, exemplifying a unique mechanism of adaptive somatic rescue.

Abstract Clonal hematopoiesis (CH) of indeterminate potential (CHIP), driven by somatic mutations in leukemia-associated genes, confers increased risk of hematologic malignancies, cardiovascular disease, and all-cause mortality. In blood of healthy individuals, small CH clones can expand over time to reach 2% variant allele frequency (VAF), the current threshold for CHIP. Nevertheless, reliable detection of low-VAF CHIP mutations is challenging, often relying on deep targeted sequencing. Here, we present UNISOM, a streamlined workflow for enhancing CHIP detection from whole-genome and whole-exome sequencing data that are underpowered, especially for low VAFs. UNISOM utilizes a meta-caller for variant detection, in couple with machine learning models which classify variants into CHIP, germline, and artifact. In whole-exome sequencing data, UNISOM recovered nearly 80% of the CHIP mutations identified via deep targeted sequencing in the same cohort. Applied to whole-genome sequencing data from Mayo Clinic Biobank, it recapitulated the patterns previously established in much larger cohorts, including the most frequently mutated CHIP genes and predominant mutation types and signatures, as well as strong associations of CHIP with age and smoking status. Notably, 30% of the identified CHIP mutations had < 5% VAFs, demonstrating its high sensitivity toward small mutant clones. This workflow is applicable to CHIP screening in population genomic studies. The UNISOM pipeline is freely available at https://github.com/shulanmayo/UNISOM and https://ngdc.cncb.ac.cn/biocode/tool/7816.

SummaryGermline variants in DDX41 (DDX41MT‐germline predisposition syndrome [GPS]) are associated with predisposition to haematological malignancies (HM), including lymphoid and myeloid neoplasms (MN). We retrospectively analysed the clinical and molecular features of 195 patients diagnosed and treated at Mayo Clinic with DDX41MT‐GPS. Patients with germline DDX41 pathogenic variants (42.3%) and variants of unknown significance (VUS, 57.6%) were included. The median age was 68.6 years (16.2–93.4). Ninety‐two per cent were Caucasian, 64.1% were male and 30.8% had a family history of HM. There were 92 distinct germline variants among our cohort, and the most common was p.Met1? (15.9%), followed by p.Asp140Glyfs*2 (9.2%). Clinical diagnoses included asymptomatic carriers (10.2%), clonal cytopenia of undetermined significance (CCUS, 6.1%), myeloproliferative neoplasms (6.7%), myelodysplastic syndrome (40.5%), acute myeloid leukaemia (20.5%), lymphoid neoplasms (9.2%), plasma cell dyscrasias (6.1%) and solid tumours (22.5%). Patients with MN were older (median age 70 vs. 63.5 years) and more likely to be male (M:F ratio 2.3 vs. 1.0) and most patients (78.8%) with MN had a normal karyotype. The most common somatic variants involved DDX41 (34.4%), followed by TET2 (11.2%), DNMT3A (9.6%) and ASXL1 (9.2%). In summary, we have comprehensively described the spectrum of clinical phenotypes within the Mayo Clinic DDX41MT‐GPS cohort.

Abstract Background: Age-related clonal hematopoiesis (ARCH) is a precursor state to blood cancers and is associated with epigenetic age acceleration (EpiAgeAccel). While ARCH is associated with increased all-cause mortality and cardiovascular disease, not much is known about these risks with therapy-related clonal hematopoiesis (t-CH) – CH occurring in the context of prior cytotoxic chemotherapy/radiation exposure. Methods: Patients were prospectively recruited for CH and EpiAge assessment from Mayo Clinic between 2022 and 2024. CH status was determined using error corrected sequencing on peripheral blood (PB) DNA (sensitivity 0.5% VAF). Patients with CH were classified as t-CH if they had received chemotherapy or radiation prior to CH detection. All other CH cases were classifed as ARCH. For EpiAge analysis, PB DNA was analyzed using the Illumina MethylationEPIC array. The resulting beta values were used to obtain epigentic age estimates using Horvath’s clock, Hannum’s Clock, PhenoAge, DunedinPACE, and estimated telomere lengths (DNAmTL). Results: 106 (62%) of 170 patients assessed were found to have CH. CH patients were classified into ARCH-63 (59%) and t-CH-43 (41%). While the median chronological age (69 vs 67 years) was similar between ARCH and t-CH, t-CH 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 3 most common ARCH mutations were TET2 (20%), DNMT3A (19%), and ASXL1 (14%), while PPM1D (27%), TET2 (18%), and DNMT3A (14%) were most frequent in t-CH. There was no significant difference 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 t-CH. However, DunedinPACE of aging was higher in t-CH (1.27 vs 1.18 bioyear/chronoyear p=0.0148) and median DNAmTL was shorter in t-CH (6.35 vs 6.49kb p=0.0247), compared to ARCH (Note patients with telomere biology disorders were excluded). Multivariable regression analysis adjusting for chronologic age, smoking status, and male sex showed that both ARCH and t-CH had 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. t-CH more than doubled DunedinPACE (0.2 bioyear/chronoyear, p<0.001) of aging compared to ARCH (0.08 bioyear/chronoyear, p=0.026). t-CH also demonstrated a significant decrease in DNAmTL (0.34kb, p<0.001) in comparison to ARCH (0.17kb, p=0.015). With a median follow-up of 20 months, t-CH was associated with worse overall survival in comparison to ARCH, and non-CH patients (p=0.013, 93% vs. 90% alive at 10 months, 87 vs. 72% alive at 20 months). Conclusion: Our prospective CH cohort study validates the association between CH and EpiAgeAccel using several different methylation clocks and for the first time highlights an increased pace of aging and shorter DNAmTL in the context of inferior survival outcomes in t-CH. Citation Format: Marissa Li, Jenna Fernandez, Kristina Kirschner, Tamir Chandra, Kristen McCullough, Sarah Aug, Terra Lasho, Christy Finke, James Foran, Cecilia Arana Yi, Yael Kusne, Talha Badar, Abhishek Mangaonkar, Naseema Gangat, Rachel Simon, Alejandro Ferrer, Mrinal Patnaik. A prospective cohort study of biological aging and epigenetic age acceleration in 106 patients with age and therapy-related clonal hematopoiesis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: DNA Methylation, Clonal Hematopoiesis, and Cancer; 2025 Feb 1-4; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2025;85(3 Suppl):Abstract nr A015.

Introduction: Telomere biology disorders (TBD) are multisystemic accelerated aging syndromes due to abnormal telomere length (TL) shortening and increased cancer risk. Pediatric-onset TBD is characterized by severely shortened TL and specific associations with germline pathogenic variants mainly in DKC1, TINF2, PARN genes and characteristic clinical features [bone marrow failure (BMF), abnormal nail/skin/oral mucosa]. Adult-onset TBD is genetically distinct (predominantly, TERT, TERC, and RTEL1 mutations) with varied organ involvement [interstitial lung disease (ILD), BMF, cirrhosis, or bone disease] and heterogenous outcomes. In our previous study of predominantly adult patients with short telomeres, multiple organ involvement (Mangaonkar A et al. Blood Cancer J 2021) predicted poor overall survival (OS). We sought to validate these findings in a larger, well annotated adult cohort of TBD patients. Methods: Patients with suspected TBD underwent comprehensive clinical and molecular evaluation through our TBD-dedicated clinic after regulatory approval. TL was assessed through clinical flow cytometry fluorescence in-situ hybridization (FlowFISH).Clinical and laboratory features, including pulmonary imaging, lung volumes/function testing, hepatic imaging (MR elastography/fibroscan) and bone density assessments were retrospectively abstracted. Germline and somatic genetic testing was performed on peripheral blood through targeted panels for known TBD and myeloid genes respectively. Cox proportional hazard model was used to identify significant variables that also retained independent prognostic impact. Results: Overall, 122 patients met criteria for TBD as defined by lymphocyte TL (LTL) <=10th percentile and/or a presence of a germline-TBD variant; 34 patients LTL <1st percentile, 84 1st and the 10th percentile (27 with TBD-germline variants) and 4 with only TBD-germline variants. Median age at diagnosis was 56 (18-77) years, with 72 (59%) males. Clinical features included presence of ILD (n=81, 66%), BMF (n=39, 32%), cirrhosis/hepatic fibrosis (n=19, 38%), bone disease osteopenia/osteoporosis/fractures, n=53, 70%), MDS/AML (n=11, 9%), non-hematological cancer (n=38, 31%), and head and neck cancer (n=2). Germline pathogenic variants were detected in 22 (18%), most frequently in TERT (n=10), RTEL1 (n=7) and TERC (n=2), while variants of uncertain significance (VUS) were seen in 35 (29%) patients, especially in TERT (n=20), TERC/RTEL1(n=6), NAF1 (n=4). Somatic variants in hematopoietic cells were detected in 37 (30%) patients with frequent alterations seen in DNA damage response and repair (PPM1D/TP53, n=11), and splicing component (U2AF1/SF3B1/ZRSR2, n=9) genes. At last follow-up [median of 3 (0-18) years], there were 26 (21%) deaths (most commonly, progressive ILD-18, cancer of lung/breast/pancreas-3, transplant-related complications-2). After censoring patients at the time of any transplantation (lung transplant-26, liver transplant-5, bone marrow transplant-8), the Kaplan-Meier estimate of median OS was not reached. Univariate survival analysis found adverse OS predicted by older age at diagnosis (P=0.006), presence of ILD (P=0.0002), hepatic fibrosis/cirrhosis (P=0.02), and somatic DNA repair variants (P=0.03). Multivariate model analysis found that only presence of ILD retained independent prognostic impact (HR=2, P=0.02). Among radiographic ILD subtypes, UIP was the most common (51%), followed by NSIP (10%), and others (6%), with median FEV1 of 2L (range: 0.5-4.6), FVC 2.4L (0.7-6.2), and TLC 4L (1.9-7.4). TBD-ILD patients were older (P<0.0001) with a male preponderance (P=0.03), 52 (64%) with multi-organ involvement, and had a less severe hematological phenotype [lower incidence of BMF (P<0.0001) and fetal hemoglobin elevation (P=0.01)], more frequent bone disease (P=0.0009), relatively longer telomeres in lymphocytes (P=0.04), and no particular association with any germline or somatic genetic alterations. Conclusions: Presence of ILD is an independent and significant predictor of adverse survival in adult TBD. Within adult TBD, patients with ILD represent a unique clinical subtype without any obvious genetic or pathologic correlates. Focusing on definitive therapeutic measures in this subgroup of adult TBD has the best chance to alter natural history and improve outcomes.

DDX41 MT Germline Predisposition Syndrome (GPS) is the most common adult GPS for myeloid neoplasms (MN), including MDS and AML. Although there have been reports of non-myeloid neoplasms, particularly lymphoid malignancies, in DDX41MT-GPS, these occurrences are infrequent and poorly characterized. We carried out this study in a large cohort of DDX41MT-GPS patients to address this deficiency. Following IRB approval, we retrospectively analyzed our database of 174 patients with DDX41MT-GPS to determine the rates of non-myeloid malignancies. Our previous data revealed that certain DDX41MT genotypes classified as variants of uncertain significance (VUS) exhibit a similar phenotypic spectrum to those classified as pathogenic (Badar et al Hematologica). Consequently, we included all these variants in our analysis. The median age of the cohort was 68.6 yrs (range, 13-4-93.4); 66% (n=114) male, 93% (n=162) Caucasian, with a median follow-up of 1.4 yrs (range, 0.03-5.6) from DDX41MT-GPS detection. The cohort included 34 (19.5%) asymptomatic carriers, 17 (9.8%) with clonal hematopoiesis (CH) or clonal cytopenias (CCUS), and 123 (70.7%) with MN. Eighteen (10%) patients had a lymphoid neoplasm (78% male, 100% Caucasian), with a median age at lymphoid neoplasm diagnosis of 67.7 yrs (range, 12.2-85.9). The most common lymphoid neoplasm was chronic lymphocytic leukemia (CLL) seen in 2.3% (n=), followed by follicular lymphoma (FL) and acute lymphoblastic leukemia (ALL) present in 1.7% each (n=3; 1 T-ALL and 2 B-ALL: 1 Ph+ and1 Ph-like). Additionally, there was 1 patient each with monoclonal B cell lymphocytosis (MBL), Waldenstroms macroglobulinemia , peripheral T cell lymphoma , large granular lymphocytic leukemia, and marginal zone lymphoma. Germline genotypes were classified as pathogenic in 50% (n=9, D140Gfs*2 x2, K331del, M1I x3, M316Dfs*31, P258L, Y340N) and VUS in 50% (n=9, E426K, E69D, G313D, K184R, P206A, P70S, Q246E, R164W, c.572-3T>C. Among these 18, 9 (50%) patients had co-existing myeloid disorders (CCUS x3, MDS x5, AML x1), and 5 (27.8%) patients were later diagnosed with therapy-related myeloid neoplasms (TMN) at a median of 5.9 yrs (range,1.6-38.7) after lymphoid neoplasm diagnosis and treatment. Seven (4%) patients had plasma cell dyscrasias (PCD; 3 with monoclonal gammopathy of undetermined significance(MGUS) and 4 with multiple myeloma (MM)); 57% (n=4) were male, with a median age of 61.3 yrs (range, 41.4-83.8) at PCD diagnosis. Subtypes of MGUS included IgG Kappa (n=2) and IgG Lambda (n=1), subtypes of MM included IgG Kappa (n=2), IgA Kappa (n=1), and Kappa light chain only (n=1). DDX41MT-GPS genotypes were pathogenic in 28.6% (n=2, G67Vfs*13, G313S) and VUS in 71.4% (n=5, A555T, R164W, Q246E x2, M307T). All patients with MM (n=4) received an autologous stem cell transplant, with 3 (75%) being subsequently diagnosed with a t-MN; median 3.6yrs after PCD diagnosis (range, 3.2-12.3). Seventeen percent (n=31) had visceral malignancies; 2.8% (n=5) having >1malignancy, 61% (n=19) male, 93.5% (n=29) Caucasian and 6.5% (n=2) Hispanic. Prostate cancer was most common (n=8, 4.6%), followed by breast (n=7, 4.0%), colon (n=5, 2.9%), squamous cell carcinoma (n=4, 2.3%, 3 of the head/neck and 1 of the leg), bladder (n=4, 2.3%), testicular (n=3, 1.7%), gynecologic (n=3, 1.7%), lung (n=2, 1.2%), thyroid (n=1, 0.6%) and pancreatic neuroendocrine tumor (PNET, n=1, 0.6%), respectively. The median age at first solid tumor diagnosis was 62.4 yrs (range, 10.9-81.9). DDX41MT-GPS was pathogenic in 64.5% (n=20, D140Gfs*2 x3, E113Kfs*14, G67Vfs*13, I396T, L283Cfs*21, M1I x4, M316Dfs*31 x2, p.M1?, P258L, Q368*, Q41* x2, R159*, R311*) and VUS in 35.5% (n=11, D30Y, H203Y, I215L, I337V, M155I, p.?, S289L, T13I, V318G, A555T). Of the 31 patients with visceral malignancies , 51.6% (n=16) were diagnosed with t-MN at a median of 4.9 yrs (range, 1.1-34.3) after malignancy diagnosis. While DDX41MT-GPS are clearly associated with an increased risk of myeloid neoplasms, we demonstrate potential associations with other neoplasms, especially lymphoproliferative disorders (10%). We for the first-time report associations with PCD (4%) and visceral malignancies (17%) and also highlight a worrisome trend for t-MN in DDX41MT-GPS treated with genotoxic agents. Given limitations of a retrospective analysis, this study underscores the need for a comprehensive natural history study in patients with DDX41MT-GPS .