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Background: Severe COVID-19 and obesity are characterized by higher inflammation. We aimed to examine early inflammatory patterns in people with (Ob) and without (NOb) obesity and COVID-19 and how they relate to COVID-19 disease severity Methods: Ob (BMI >30 Kg/m2) and NOb with COVID-19 matched for age, sex and WHO disease severity provided blood early after diagnosis. Immunoassays measured 57 plasma biomarkers reflecting innate immune and endothelial activation, systemic inflammation, coagulation, metabolism and microbial translocation (Fig 1). Between-group differences were assessed by Mann- Whitney. Associations between subsequent maximal COVID-19 severity (mild vs moderate/severe/critical) and biomarkers were explored by logistic regression adjusted for age, sex, hypertension (HTN) and diabetes (DM). Data are median pg/mL [IQR] or n [%] unless stated Results: Of 100 subjects (50 Ob and 50 Nob) presenting between April 2020 and March 2021, characteristics (Ob vs Nob) included: age 65 [23-91] vs 65 [21-95];female sex 27 (48%) vs 28 (56%);BMI 33.7 [30.0-71.8] vs 23.3 [15.3-25.9];disease severity mild 22 [48%] vs 23 [46%], moderate 15 [30%] vs 13 [26%], severe 6 [12%] vs 7 [14%];HTN 30 (60%) vs 17 (34%);DM 19 [38%] vs 6 [12%];days from symptom onset 7 [2-17] vs 8 [1-15];vaccinated 3 (6%) vs 0 (0%). Compared to NOb, Ob had higher IFN-alpha (1.8 [0.6;11] vs 0.9 [0.1;4.7]), CRP (10 mAU/mL [9.6;10.2] vs 9.7 [7.2;10]), IL-1RA (197 [122;399] vs 138 [88;253]), IL-4 (288 AU/mL [161;424] vs 205 [82;333]), vWF (252 [166;383] vs 163 [96;318]), Zonulin (114 ng/mL [77;131] vs 57 [18;106]), Resistin (956 [569;1153] vs 727 [712;1525]), Leptin (3482 [1513;5738] vs 848 [249;2114]), and lower Adiponectin (1.12 mg/L [0.09;1.5] vs 1.5 [1.18;1.93]), all p< 0.05. In both groups higher, proinflammatory IL-18 and lower levels of antiinflammatory CCL22 and IL-5 were associated with higher odds of disease severity, and lower E-selectin with higher disease severity only in Ob. However, in NOb higher type 3 interferons (IL-28A), macrophage activation (sCD163, CCL3) and vascular inflammation markers (ICAM-1, VCAM-1), along with higher S100B, GM-CSF and leptin were also associated with disease severity, a pattern not observed in Ob (Fig 1) Conclusion(s): Although Ob had higher overall levels of inflammation than NOb, few biomarkers predicted subsequent COVID-19 severity in Ob. These differential inflammatory patterns suggest dysregulated immune responses in Ob with COVID-19. (Figure Presented).
ABSTRACT
Background: Better understanding of host inflammatory changes that precede development of severe COVID-19 could improve delivery of available antiviral and immunomodulatory therapies, and provide insights for the development of new therapies. Method(s): In plasma from individuals with COVID-19, sampled <=10 days from symptom onset from the All-Ireland Infectious Diseases Cohort study, we measured 61 biomarkers, including markers of innate immune and T cell activation, coagulation, tissue repair, lung injury, and immune regulation. We used principal component analysis (PCA) and k-means clustering to derive biomarker clusters, and univariate and multivariate ordinal logistic regression to explore association between cluster membership and maximal disease severity, adjusting for risk factors for severe COVID-19, including age, sex, ethnicity, BMI, hypertension and diabetes. Result(s): From March 2020-April 2021, we included 312 individuals, (median (IQR) age 62 (48-77) years, 7 (4-9) days from symptom onset, 54% male) in the analysis. PCA and clustering derived 4 clusters. Compared to cluster 1, clusters 2-4 were significantly older and of higher BMI but there were no significant differences in sex or ethnicity. Cluster 1 had low levels of inflammation, cluster 2 had higher levels of markers of tissue repair and endothelial activation (EGF, VEGF, PDGF, TGFalpha, serpin E1 and p-selectin). Cluster 3 and 4 were both characterised by higher overall inflammation, but compared to cluster 4, cluster 3 had downregulation of growth factors, markers of endothelial activation, and immune regulation (IL10, PDL1), but higher alveolar epithelial injury markers (RAGE, ST2). In univariate analysis, compared to cluster 1, cluster 3 had the highest odds of severe disease (OR (95% CI) 9.02 (4.62-18.31), followed by cluster 4: 5.59 (2.75-11.72) then cluster 2: 4.5 (2.38-8.81), all p < 0.05). Cluster 3 remained most strongly associated with severe disease in fully adjusted analyses;cluster 3: OR(95% CI) 5.99 (2.69-13.35), cluster 2: 3.14 (1.54-6.42), cluster 4: 3.13 (1.36-7.19), all p< 0.05). Conclusion(s): Distinct early inflammatory profiles predicted maximal disease severity independent of known risk factors for severe COVID-19. A cluster characterised by downregulation of growth factor and endothelial markers and early evidence of alveolar injury was associated with highest risk of developing severe COVID19. Whether this reflects a dysregulated inflammatory response that could improve targeted treatment requires further study. Heatmap of biomarker derived clusters and forest plot of association between clusters and disease severity. A: Heatmap demonstrating differences in biomarkers between clusters B: Forest plot demonstrating odds ratio of specific clusters for progressing to moderate or severe disease (reference Cluster 1), calculated using ordinal logistic regression. Odds ratio (95% CI) presented as unadjusted and fully adjusted (for age, sex, ethnicity, BMI, hypertension, diabetes, immunosuppression, smoking and baseline anticoagulant use). Maximal disease severity graded per the WHO severity scale.
ABSTRACT
Background. AZD7442-a combination of 2 human, extended-half-life, SARS-CoV-2-neutralizing monoclonal antibodies (mAbs) (tixagevimab/cilgavimab)-has received US Food and Drug Administration emergency use authorization for COVID-19 prevention in immunocompromised individuals. We evaluated the effect of AZD7442 in prevention and treatment settings in Syrian hamsters challenged with SARS-CoV-2. Methods. Hamsters received intraperitoneal isotype control mAb (2 mg) or AZD7442 (0.002-2 mg) 1 day before intranasal (IN) SARS-CoV-2 challenge (USA-WA1/2020;1x105 plaque-forming units) in prevention;OR control mAb (5 mg) or AZD7442 (0.5-5 mg) 1 day after IN SARS-CoV-2 challenge in treatment. The impact of AZD7442 on lung viral RNA and pathology and AZD7442 serum levels was assessed on Days 3 and 7 post infection. Body weight was recorded daily through Day 7. Results. With AZD7442 prevention, lower lung viral loads were observed compared to controls;at Day 3 post infection, lowest infectious virus titer and viral subgenomic mRNA (sgmRNA) levels were seen with doses >=0.2 mg AZD7442. Concomitantly, increased serum levels of AZD7442 were observed. By Day 7, infectious virus titer and sgmRNA fell below the level of detection (LOD) at all doses tested. Moreover, AZD7442 at doses >=0.2 mg protected hamsters from weight loss versus controls. Lung pathology scores (scale: 0 [normal] to 25 [most severe]) were generally dose dependent, with mean scores of < 2 for AZD7442 versus 10 for controls, indicating less SARS-CoV-2-induced inflammation and alveolar damage in hamsters given AZD7442. Lower AZD7442 doses were associated with mean pathology scores similar to controls. With AZD7442 treatment, infectious virus titers were below the LOD at Day 3 post infection and at Day 7 for sgmRNA, for all doses tested. Mean lung pathology score was <2 for AZD7442 versus 12 for controls. AZD7442 doses >=0.5 mg protected against weight loss relative to controls. Conclusion. In a SARS-CoV-2 challenge model, AZD7442 administered as prevention or treatment led to significantly lower lung viral loads and improved lung pathology, without weight loss. There was also no evidence that AZD7442 mediated antibody-dependent enhancement of disease or infection.
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S44 Table 1Summary of significant medical events, thoracic computed tomography (CT) and pulmonary function tests (PFTs) in ORBCEL-C and placebo groups at 1 year follow upORBCEL-C Placebo Number of patients followed up 20 21 Significant medical events Number of patients with SMEs 6/20 9/21 Total SME events 7 11 Classification Respiratory,thoracic and mediastinal disorders 4 6 Neoplasm - benign, malignant, unspecified 1 0 Infections and infestations 1 1 Cardiac disorders 1 0 Metabolism and nutrition disorders 0 1 Injury, poisoning and procedural complications 0 1 Renal and urinary disorders 0 1 Gastrointestinal disorders 0 1 Thoracic CT Number of CTs available 5 8 Time to CT (Median, IQR) 181 (157–198) 203 (95–233) Evidence of ILD on CT 4 6 PFTs Number of PFTs available 10 8 Time to PFTs (Median, IQR) 184.5 (117.5–292.75) 203.5 (118.25–242.5) FEV1 (Mean, SD) 84.9 (13.6) 80.5 (13.3) FEV1 <80% predicted (n,%) 4/10 (44%) 4/8 (50%) FVC (Mean, SD) 78.4 (13.2) 79.3 (16.5) FVC <80% predicted (n,%) 5/10 (55%) 5/8 (62.5%) FEV1/FVC ratio (Mean, SD, n) 0.88 (0.12) N=8 0.76 (0.05) N=5 FEV1/FVC <0.7 (n,%) 0 (0%) 0 (0%) TLCO (Mean, SD, n) 78.9 (14.8) N=9 61.9 (13.4) N=7 TLCO <80% (n,%) 6/9 (66.7%) 7/7 (100%) ConclusionsOne year follow up supports the safety of ORBCEL-C MSCs in patients with moderate to severe ARDS due to COVID-19. A similar incidence of pulmonary dysfunction is reported in both groups at long term follow up.Please refer to page A?? for declarations of interest related to this .
ABSTRACT
Background: Acute myeloid leukemia (AML) is driven by aberrant leukemic stem cells (LSCs) that initiate and sustain malignancy. To circumvent resistance to therapy, combination therapies with additive mechanisms of action are needed. CD70, a tumor necrosis factor receptor ligand, and its receptor CD27 are expressed on LSCs and AML blasts, but not on hematopoietic stem cells. Cusatuzumab, a high-affinity humanized monoclonal anti-CD70 antibody, kills CD70-expressing cells by Fc domain-mediated effector functions and is a potent inhibitor of CD70-CD27 signaling. Here we report initial results of a study of cusatuzumab in combination with the current standard of care therapy, venetoclax plus azacitidine (CVA), in patients with untreated AML (de novo or secondary) ineligible for intensive chemotherapy due to age ≥75 years or medical comorbidities. Methods: The primary objective of this open label, multicenter, phase 1b study was to assess safety and tolerability of CVA. Key secondary objectives included response rate per ELN 2017 criteria and time to response. Patients received cusatuzumab 10 or 20 mg/kg IV on Day 3 and Day 17, a 3-day ramp-up of venetoclax (100, 200, and 400 mg PO) followed by 400 mg daily dosing, and azacitidine 75 mg/m 2 SC or IV on Days 1-7 of each 28-day cycle. Results: Based on data through Jul 9, 2021, 44 patients enrolled with median age 75 years (range 32-89), 36.4% had secondary AML, 40.9% had an ECOG performance status of 2, and ELN risk was favorable, intermediate and adverse in 18.2%, 20.5% and 61.4%, respectively. All patients received 20 mg/kg cusatuzumab except for 3 patients who received a starting dose of 10 mg/kg with the option to escalate to 20 mg/kg. Of these 3 patients, 1 escalated to 20 mg/kg. At a median follow-up of 29.1 weeks, the median number of treatment cycles was 4.0 (range 1.0-11.0). Grade 3 or above TEAEs were reported in 97.7% of patients;the most common (reported in ≥10%) were neutropenia (68.2%), thrombocytopenia (65.9%), febrile neutropenia (36.4%), anemia (34.1%), leukopenia (29.5%), sepsis (27.3%), and lymphopenia (15.9%). Treatment-emergent serious adverse events (SAEs) were reported in 75% of patients;the most common (reported in at least ≥5%) were febrile neutropenia (27.3%), sepsis (22.7%), COVID-19 (6.8%), and thrombocytopenia (6.8%). Treatment-emergent SAEs of grade ≥3 were reported in 72.7% of the patients. Infusion-related reactions (IRRs) were reported for 11.4% of patients with 2.3% at grade ≥3. Six (13.6%) patients discontinued treatment due to AEs, and 5 (11.4%) TEAEs resulted in death. The mortality rate within 30 days from start of treatment was 4.5%. Table 1 summarizes best response to study treatment. In the intent-to-treat analysis set (n=44) complete remission (CR) rate was 45.5%, while CR + CR with partial hematologic recovery (CRh) + CR with incomplete hematologic recovery (CRi) was 77.3%;MLFS was observed in 11.4% of patients. Of 34 responders (defined as CR, CRi or CRh), 47% were MRD negative by flow cytometry at or after achievement of response. Median time to first response for patients who achieved CR, CRh or CRi was 4.21 (3.0-25.0) weeks. Best response rates in the post-hoc response evaluable analysis set (n=42) that excluded two patients who died before the first disease evaluation were: CR in 47.6%, CR + CRh + CRi in 81.0% and MLFS in 11.9% of patients (Table 1). The majority (97.1%) of responders experienced at least one cycle delay in administration of CVA post response. Conclusions: Cusatuzumab administered in combination with venetoclax and azacitidine to elderly patients with untreated AML was generally well tolerated and demonstrated a safety profile consistent with that previously reported with venetoclax-azacitidine, with the addition of generally manageable IRRs. Response rates support an additive effect of cusatuzumab to the standard of care with potential for improved clinical outcomes. However, further clinical trials are needed for validation of these initial results. HK and GB contributed equally to this publ cation. [Formula presented] Disclosures: Roboz: AstraZeneca: Consultancy;Janssen: Research Funding;Bristol Myers Squibb: Consultancy;Jasper Therapeutics: Consultancy;Agios: Consultancy;Novartis: Consultancy;Amgen: Consultancy;Blueprint Medicines: Consultancy;Janssen: Consultancy;Helsinn: Consultancy;Daiichi Sankyo: Consultancy;Glaxo SmithKline: Consultancy;Celgene: Consultancy;Jazz: Consultancy;MEI Pharma - IDMC Chair: Consultancy;Mesoblast: Consultancy;Actinium: Consultancy;AbbVie: Consultancy;Astex: Consultancy;Bayer: Consultancy;Astellas: Consultancy;Roche/Genentech: Consultancy;Pfizer: Consultancy;Otsuka: Consultancy. Aribi: Seagen: Consultancy. Brandwein: Astellas: Honoraria;Jazz: Honoraria;Amgen: Honoraria;Taiho: Honoraria;BMS/Celgene: Honoraria;Pfizer: Honoraria;Abbvie: Honoraria;University of Alberta: Current Employment. Döhner: Astellas: Consultancy, Honoraria, Research Funding;AstraZeneca: Consultancy, Honoraria;Berlin-Chemie: Consultancy, Honoraria;Amgen: Consultancy, Honoraria, Research Funding;Abbvie: Consultancy, Honoraria, Research Funding;Agios: Consultancy, Honoraria, Research Funding;Celgene: Consultancy, Honoraria, Research Funding;GEMoaB: Consultancy, Honoraria;Helsinn: Consultancy, Honoraria;Janssen: Consultancy, Honoraria;Jazz: Consultancy, Honoraria, Research Funding;Novartis: Consultancy, Honoraria, Research Funding;Oxford Biomedicals: Consultancy, Honoraria;Pfizer: Research Funding;Roche: Consultancy, Honoraria;Gilead: Consultancy, Honoraria;Bristol Myers Squibb: Consultancy, Honoraria, Research Funding;Astex: Consultancy, Honoraria;Ulm University Hospital: Current Employment. Fiedler: Jazz Pharmaceuticals: Consultancy, Other: support for meeting attendance;Abbvie: Consultancy, Honoraria;Morphosys: Consultancy;Celgene: Consultancy;Pfizer: Consultancy, Research Funding;Novartis: Consultancy;ARIAD/Incyte: Consultancy;Amgen: Consultancy, Other: support for meeting attendance, Patents & Royalties, Research Funding;Servier: Consultancy, Other: support for meeting attendance;Daiichi Sankyo: Consultancy, Other: support for meeting attendance;Stemline: Consultancy. Gandini: argenx: Current Employment, Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months. Geddes: University of Calgary: Current Employment;Taiho: Consultancy, Membership on an entity's Board of Directors or advisory committees;Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees;Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees;Novartis: Consultancy;BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau;Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees;Amgen: Consultancy;Paladin: Consultancy;Janssen: Research Funding;Geron: Research Funding;Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding. Hou: University of Pittsburgh Medical Center Hillman Cancer Centers: Current Employment;AbbVie: Honoraria;AstraZeneca: Honoraria;Karyopharm: Honoraria;Chinese American Hematology Oncology Network: Membership on an entity's Board of Directors or advisory committees. Howes: Janssen R&D, part of Johnson & Johnson: Current Employment;Johnson & Johnson: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Hultberg: argenx: Current Employment, Patents & Royalties. Huselton: University of Rochester: Current Employment. Jacobs: Argenx BV: Current Employment, Current equity holder in publicly-traded company;University of Antwerp: Ended employment in the past 24 months. Kane: Janssen R&D, part of Johnson & Johnson: Current Employment, Current equity holder in publicly-traded company. Lech-Marańda: Takeda: Membership on an entity's Board of Directors or advisory committees;AbbVie: Membership on an entity's Board of Directors r advisory committees;Novartis: Membership on an entity's Board of Directors or advisory committees;Roche: Membership on an entity's Board of Directors or advisory committees;Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees;Amgen: Membership on an entity's Board of Directors or advisory committees;Sanofi: Membership on an entity's Board of Directors or advisory committees;Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding. Louwers: argenx: Current Employment, Patents & Royalties: Patents (no royalties). Nottage: Janssen R&D, part of Johnson & Johnson: Current Employment;Johnson & Johnson: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Platzbecker: Novartis: Honoraria;AbbVie: Honoraria;Janssen: Honoraria;Celgene/BMS: Honoraria;Geron: Honoraria;Takeda: Honoraria. Rampal: Pharmaessentia: Consultancy;BMS/Celgene: Consultancy;Abbvie: Consultancy;Sierra Oncology: Consultancy;Incyte: Consultancy, Research Funding;Blueprint: Consultancy;Disc Medicine: Consultancy;Jazz Pharmaceuticals: Consultancy;Constellation: Research Funding;Kartos: Consultancy;Stemline: Consultancy, Research Funding;CTI: Consultancy;Novartis: Consultancy;Memorial Sloan Kettering: Current Employment. Salman: Janssen: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Shah: Janssen R&D, part of Johnson & Johnson: Current Employment. Stuart: Clinical Drug Development Consultants LLC: Current Employment;Argenx: Consultancy;Cleave Therapeutics: Consultancy;Triphase Accelerator Corp: Consultancy;IgM Biosciences: Consultancy;Revolution Medicines: Consultancy;Jiya Corp:Consultancy;Geron Corp: Current holder of individual stocks in a privately-held company. Subklewe: Janssen: Consultancy;Pfizer: Consultancy, Speakers Bureau;Takeda: Speakers Bureau;Klinikum der Universität München: Current Employment;MorphoSys: Research Funding;Novartis: Consultancy, Research Funding, Speakers Bureau;Roche: Research Funding;Seattle Genetics: Consultancy, Research Funding;Miltenyi: Research Funding;Gilead: Consultancy, Research Funding, Speakers Bureau;Amgen: Consultancy, Research Funding, Speakers Bureau;BMS/Celgene: Consultancy, Research Funding, Speakers Bureau. Sumbul: argenx: Current Employment. Wang: Takeda: Consultancy, Honoraria, Other: Advisory board;Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board;Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees;Stemline Therapeutics: Consultancy, Honoraria, Other: Advisory board, Speakers Bureau;AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees;Kite Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board;GlaxoSmithKline: Consultancy, Honoraria, Other: Advisory Board;Genentech: Membership on an entity's Board of Directors or advisory committees;BMS/Celgene: Membership on an entity's Board of Directors or advisory committees;DAVA Oncology: Consultancy, Speakers Bureau;Kura Oncology: Consultancy, Honoraria, Other: Advisory board, steering committee, Speakers Bureau;Novartis: Consultancy, Honoraria, Other: Advisory Board;Mana Therapeutics: Consultancy, Honoraria;Pfizer: Consultancy, Honoraria, Other: Advisory Board, Speakers Bureau;Rafael Pharmaceuticals: Other: Data safety monitoring committee;Gilead: Consultancy, Honoraria, Other: Advisory board;Daiichi Sankyo: Consultancy, Honoraria, Other: Advisory board;PTC Therapeutics: Consultancy, Honoraria, Other: Advisory board;Genentech: Consultancy;MacroGenics: Consultancy. Wierzbowska: Jazz: Research Funding;Pfizer: Honoraria;Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees;Astellas: Honoraria, Membership on an entity's Board of Directors or advisory comm ttees;Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees;BMS: Honoraria. Yao: Statagize LLC: Current Employment;Puma Biotechnology, Inc.: Ended employment in the past 24 months;Argenx: Consultancy. Yee: Astex: Membership on an entity's Board of Directors or advisory committees, Research Funding;Janssen: Research Funding;TaiHo: Membership on an entity's Board of Directors or advisory committees;Otsuka: Membership on an entity's Board of Directors or advisory committees;Onconova: Research Funding;Pfizer: Membership on an entity's Board of Directors or advisory committees;Tolero: Research Funding;Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding;Paladin: Membership on an entity's Board of Directors or advisory committees;MedImmune: Research Funding;AbbVie: Honoraria;Bristol-Myers Squibb/Celgene: Membership on an entity's Board of Directors or advisory committees;Shattuck Labs: Membership on an entity's Board of Directors or advisory committees;Forma Therapeutics: Research Funding;Takeda: Membership on an entity's Board of Directors or advisory committees;Geron: Research Funding;Genentech: Research Funding;F. Hoffmann La Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding;Jazz: Research Funding. Kantarjian: Immunogen: Research Funding;Astra Zeneca: Honoraria;KAHR Medical Ltd: Honoraria;Astellas Health: Honoraria;Pfizer: Honoraria, Research Funding;NOVA Research: Honoraria;Ascentage: Research Funding;Precision Biosciences: Honoraria;Novartis: Honoraria, Research Funding;Aptitude Health: Honoraria;Ipsen Pharmaceuticals: Honoraria;Jazz: Research Funding;Daiichi-Sankyo: Research Funding;BMS: Research Funding;Amgen: Honoraria, Research Funding;AbbVie: Honoraria, Research Funding;Taiho Pharmaceutical Canada: Honoraria. Borthakur: Protagonist: Consultancy;Ryvu: Research Funding;Astex: Research Funding;GSK: Consultancy;Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees;Takeda: Membership on an entity's Board of Directors or advisory committees;University of Texas MD Anderson Cancer Center: Current Employment;ArgenX: Membership on an entity's Board of Directors or advisory committees.
ABSTRACT
INTRODUCTION AND OBJECTIVE: Androgen deprivation therapy (ADT) can help maintain remission in advanced prostate cancer (PCa) patients with bone metastases, however, growth and metastatic spread often recur. To address the need for more predictive pre-clinical research platforms and to identify new targets and therapies for bone metastatic castration-resistant prostate cancer (CRPC). METHODS: We used patient-derived xenograft (PDX) tumors from bone metastatic prostate cancer patients to establish threedimensional (3D) organoids and investigated their response to ADT by either withholding di-hydro-testosterone (no DHT) or treating with enzalutamide. Cyst/spheroid quantitation, immunohistopathology, cell viability assay, qRT-PCR, RNA sequencing, gene set enrichment analysis (GSEA) and live cell cycle tracking using Fucci2BL were performed in PDXs: PCSD1, PCSD13 and PCSD25 and compared to PCa Cell lines: P, DU145 and LNCaP. RESULTS: ADT resulted in CRPC spheroids with CK5D CK8D cells, up-regulated stem-cell transcription factors, steroidogenic and neurogenic pathways and down-regulated AR-target genes, interferon, cell cycle, cell division and circadian pacemaker pathways. Enzalutamide-treated spheroids transitioned to G0 and AR protein was decreased but not AR mRNA. Moreover, ADT decreased both ACE2 and TMPRSS2, host cell viral entry factors for the severe acute respiratory syndrome (SARS) SARS-CoV-2. CONCLUSIONS: In organoids, or mini-tumors, established from prostate cancer bone metastasis PDXs, a novel type of dormant ADT-resistant cell with specific gene changes emerged which may be targeted in order to eradicate dormant metastases before they can progress. This study identified a new dormant CRPC basal-luminal hybrid prostate cancer cell and gene signature which may be therapeutically targeted to eradicate dormant CRPC bone metastases in order to prevent disease recurrence. ADT also reduced the cell factors required for SARS-CoV-2 or its variants to infect its host cells and thus may reduce COVID-19 disease severity. The PDX organoid models can be used to screen for therapies that target the dormant CRPC cells and that reduce ACE2 and TMPRSS2 expression to suppress viral load of SARS-CoV-2 and its variants.