Metzger, Megan

Abstract Background: The functional importance of bone marrow adipocytes (BMA) is frequently overlooked even though they are critical components of the BM (bone marrow) microenvironment. BMA have been proposed to play a supportive role within the hematopoietic niche and to directly sustain hematopoietic stem cell (HSC) survival as well as to preferentially support leukemia cell survival and proliferation (Sabbah Cell Commun Signal 2023). Although significant ex-vivo data implicates direct and indirect crosstalk between BMA and neoplastic HSCs (Venti Front Endocrinol 2022), the possible role of BMA in myeloproliferative neoplasms and their dynamics following therapy have yet to be characterized. Adiponectin, an anti- inflammatory adipokine that maintains metabolic homeostasis through regulation of insulin sensitivity, lipid metabolism and pro-inflammatory signaling is low in MPN patients and increases with IFN-α therapy (Avcu Int J Hematol. 2006). IFN-α has also been implicated in inhibiting adipogenesis via JAK-STAT1 signaling (Lee Biochim Biophys Act. 2016). A single institutional study of IFN-α in patients with essential thrombocythemia (ET) and polycythemia vera (PV) confirmed the potential for BM histopathologic responses and a correlation with molecular responses (Masarova Exp Hematol Oncol 2017). The aim of this analysis was to characterize the change in BM cellularity and fat composition with pegylated IFN α-2a (Pegasys; PEG) and the relationship with both hematologic and molecular response from tissue collected in prospective, global clinical trials of PEG in patients with ET/PV. Methods: A total of 24 subjects from the phase 2 MPN-RC 111 (Yacoub Blood 2019) salvage PEG study and 16 subjects from the MPN-RC 112 (Mascarenhas Blood 2022) phase 3 study comparing PEG to HU with available clinical, BM H&E slides, laboratory and molecular data were included in this retrospective analysis of prospective clinical trial data. We assigned a semi-quantitative score for changes in cellularity, fat distribution, and megakaryocyte (MK) histo-topography for changes from baseline, at 12, 24 and 36 months when available. Changes in BMA content and para-trabecular distribution were assessed on whole slide digital images with machine learning models. BMA content was quantified with a QuPath pixel classifier that distinguished adipocytes from other marrow components (Bankhead Scientific Reports 2017). Para-trabecular adipocyte distribution was assessed by leveraging UNI2-h, a self-supervised Vision Transformer (ViT-H/14) model and successor to UNI (Mahmood Nature 2024). UNI2-h was pre-trained on 200 million image tiles from over 300,000 H&E and IHC slides. In this study, UNI2-h was adapted to distinguish between high and low para-trabecular adiposity using image tiles centered on trabeculae. Trabeculae with a surrounding layer of adipocytes were labeled as ‘high’ adiposity, while ‘low’ para-trabecular fat distribution was defined by the direct contact of cellular marrow with trabeculae, lacking surrounding adipocytes. Results: A total of 40 PEG-treated ET (n=18) and PV (n=22) patients were included in this analysis with a median age of 64 years (26-85), 77% JAK2V617F+, 23% CALRmut+, and 40% treatment-naïve. The median JAK2V617F variant allele fraction (VAF) was 26% (range 3-96%). A complete hematologic response (CHR) was obtained with PEG in 58%, 61% attained >20% reduction in driver VAF and 48% attained a >50% reduction in VAF (MR) within 24 months of baseline. We observed an increase in BMA content and notable increase in para-trabecular distribution (confirmed by morphology and ML, independently) in 93% and 53% of PEG treated patients attaining a MR versus only 31% and 6% who did not attain MR, respectively (P Value=0.0004). There was more notable improvement towards normalization of MK histo-topography and orderly erythropoiesis in MR (86.6%) than in non-MR (31.2%) (P value=0.001). Increase in BMA content, BMA para-trabecular distribution, or improvement in MK histo-topography were not associated with achievement of CHR or changes in CALR VAF in this small cohort. Cytokine correlation with BMA dynamics is currently ongoing and will be reported at the meeting. Conclusion: Treatment of MPN patients with IFN-α resulted in reproducible changes in BM cellularity including MK histo-topography, erythropoiesis, BMA number and distribution. Changes in BMA were closely associated with reduction in JAK2V617F VAF following PEG treatment.

ImportanceSystematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking.ObjectiveTo assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022.ExposureTreatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19.Main Outcomes and MeasuresMain outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up.ResultsOf 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13).Conclusions and RelevanceIn this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19–related thromboembolism in patients with cancer.

ImportanceCytokine storm due to COVID-19 can cause high morbidity and mortality and may be more common in patients with cancer treated with immunotherapy (IO) due to immune system activation.ObjectiveTo determine the association of baseline immunosuppression and/or IO-based therapies with COVID-19 severity and cytokine storm in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included 12 046 patients reported to the COVID-19 and Cancer Consortium (CCC19) registry from March 2020 to May 2022. The CCC19 registry is a centralized international multi-institutional registry of patients with COVID-19 with a current or past diagnosis of cancer. Records analyzed included patients with active or previous cancer who had a laboratory-confirmed infection with SARS-CoV-2 by polymerase chain reaction and/or serologic findings.ExposuresImmunosuppression due to therapy; systemic anticancer therapy (IO or non-IO).Main Outcomes and MeasuresThe primary outcome was a 5-level ordinal scale of COVID-19 severity: no complications; hospitalized without requiring oxygen; hospitalized and required oxygen; intensive care unit admission and/or mechanical ventilation; death. The secondary outcome was the occurrence of cytokine storm.ResultsThe median age of the entire cohort was 65 years (interquartile range [IQR], 54-74) years and 6359 patients were female (52.8%) and 6598 (54.8%) were non-Hispanic White. A total of 599 (5.0%) patients received IO, whereas 4327 (35.9%) received non-IO systemic anticancer therapies, and 7120 (59.1%) did not receive any antineoplastic regimen within 3 months prior to COVID-19 diagnosis. Although no difference in COVID-19 severity and cytokine storm was found in the IO group compared with the untreated group in the total cohort (adjusted odds ratio [aOR], 0.80; 95% CI, 0.56-1.13, and aOR, 0.89; 95% CI, 0.41-1.93, respectively), patients with baseline immunosuppression treated with IO (vs untreated) had worse COVID-19 severity and cytokine storm (aOR, 3.33; 95% CI, 1.38-8.01, and aOR, 4.41; 95% CI, 1.71-11.38, respectively). Patients with immunosuppression receiving non-IO therapies (vs untreated) also had worse COVID-19 severity (aOR, 1.79; 95% CI, 1.36-2.35) and cytokine storm (aOR, 2.32; 95% CI, 1.42-3.79).Conclusions and RelevanceThis cohort study found that in patients with cancer and COVID-19, administration of systemic anticancer therapies, especially IO, in the context of baseline immunosuppression was associated with severe clinical outcomes and the development of cytokine storm.Trial RegistrationClinicalTrials.gov Identifier: NCT04354701