Go, Ronald S.

Abstract Background: Achievement of a complete response (CR) to therapy in multiple myeloma (MM) early in disease course correlates with improvement in clinical outcomes, reflective of therapeutically sensitive disease biology. While depth of response is known to impact overall survival (OS) and progression-free survival (PFS), the effect of known prognostic variables at baseline including FISH risk and International Staging System (ISS) score outside of clinical trial settings is not well described. We sought to determine the impact of known prognostic variables in MM including FISH and ISS risk in the context of NDMM patients achieving a CR to therapy and to also examine additional predictors of outcome among this cohort. Methods: A retrospective study was conducted on 1869 NDMM patients who had ≥ 2 consecutive monoclonal protein immunofixation (IFE) studies in the serum and urine available within 24 months from diagnosis. We identified the number of patients who had ≥ 2 negative serum and urine IFE as a surrogate for achieving CR (N=461), since a bone marrow biopsy is not routinely performed to confirm CR in the non-trial setting. A Kaplan-Meier model was used to compare median PFS and OS between patients achieving a CR vs. non-CR and a multivariate analysis was performed to adjust for known prognostic variables. A cox proportional hazards model was used to determine the prognostic impact of baseline FISH (high risk vs. standard risk) and ISS scores (3 vs.1 and 2) on PFS and OS, among patients achieving a CR vs. non-CR, and identify additional prognostically significant variables within the CR cohort. Results: The median length of follow-up for the entire cohort (n=1869) was 64 months (range: 1-199). The median time from diagnosis to achievement of CR among the CR cohort was 9.8 months (0.20-23.8 months). The median PFS for CR (n=461) vs. non-CR (n=1408) patients was 42.0 vs. 29.3 months (p<.0001) and median OS was 124.4 vs. 85.6 months (p<.0001), respectively (Figure 1). The impact of achieving a CR on outcomes was retained after adjusting for FISH, ISS, age, sex, autologous stem cell transplant, and involved heavy chain as follows: PFS HR 0.57 (0.43-0.76; p=0.0001); OS HR 0.56 (0.43-0.74; p<0.0001). The baseline FISH and ISS risk on PFS and OS comparing CR vs. non-CR patients are shown in Table 1, with both variables having statistically insignificant impact on PFS and OS among the CR cohort. We examined several variables present at baseline and at the time of CR to determine their impact on PFS and OS, including age, sex, and non-IgG involved heavy chain (baseline), and thrombocytopenia (<150,000), hypoalbuminemia (<3.5 g/dL), and immunoparesis (at time of CR). The following variables were found as inferior predictors on PFS within the CR cohort with hazard ratios as follows: male gender, HR 1.36 (1.05-1.75; p=0.02) and non-IgG involved heavy chain, HR 2.2 (1.55-3.2).The following variables were found as predictors for inferior outcomes on OS within the CR cohort with hazard ratios as follows: Age> 75 years, HR 2.7 (1.54-4.8; p=.0005); male gender, HR 1.5 (1.1-2.02; p=.008); serum albumin <3.5, HR 1.54 (1.1-2.08; p=.004); and non-IgG involved heavy chain, HR 1.75 (1.23-2.47; p=.002). On multivariate analysis, age, hypoalbuminemia, and non-IgG involved heavy chain retained prognostic significance for OS. Conclusion: Attainment of an early CR in NDMM confers improvement in PFS and OS. Our study confirms these findings and suggests that achievement of CR neutralizes the impact of baseline FISH and ISS risk on PFS and OS. Among the CR cohort, age> 75 years, male sex, non-IgG involved heavy chain, and hypoalbuminemia at the time of CR predict for inferior overall survival. Figure 1 Figure 1. Disclosures Dingli: Sanofi: Consultancy; Alexion: Consultancy; Novartis: Research Funding; GSK: Consultancy; Apellis: Consultancy; Janssen: Consultancy. Gertz: Akcea Therapeutics, Ambry Genetics, Amgen Inc, Celgene Corporation, Janssen Biotech Inc, Karyopharm Therapeutics, Pfizer Inc (to Institution), Sanofi Genzyme: Honoraria; Aurora Biopharma: Other: Stock option; Ionis Pharmaceuticals: Other: Advisory Board; AbbVie Inc, Celgene Corporation: Other: Data Safetly & Monitoring; Akcea Therapeutics, Alnylam Pharmaceuticals Inc, Prothena: Consultancy. Dispenzieri: Alnylam: Research Funding; Pfizer: Research Funding; Takeda: Research Funding; Sorrento Therapeutics: Consultancy; Oncopeptides: Consultancy; Janssen: Consultancy, Research Funding. Kapoor: Karyopharm: Consultancy; Cellectar: Consultancy; BeiGene: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Amgen: Research Funding; Ichnos Sciences: Research Funding; Regeneron Pharmaceuticals: Research Funding; Glaxo SmithKline: Research Funding; Karyopharm: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; AbbVie: Research Funding. Lin: Vineti: Consultancy; Bluebird Bio: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Juno: Consultancy; Merck: Research Funding; Sorrento: Consultancy; Celgene: Consultancy, Research Funding; Gamida Cell: Consultancy; Novartis: Consultancy; Takeda: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Legend: Consultancy. Kumar: Merck: Research Funding; Antengene: Consultancy, Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Carsgen: Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bluebird Bio: Consultancy; Tenebio: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Consultancy; Beigene: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Roche-Genentech: Consultancy, Research Funding; Novartis: Research Funding; BMS: Consultancy, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding.

Abstract INTRODUCTION Rosai-Dorfman disease (RDD) is a rare histiocytic disorder associated with histiocytes expressing high level of macrophage colony stimulating factor receptor (c-fms). Mutations in mitogen-activated protein kinase (MAPK) pathway have been reported in RDD, indicating an underlying clonal process in some patients. Aberrant activation of MAPK pathway can occur due to mutations or high c-fms expression. Data on the use of MAPK/extracellular-signal-related kinase (ERK)-inhibitor therapy in RDD are very limited. Cobimetinib is a MEK inhibitor, which is listed in the National Comprehensive Cancer Network Compendium ® for the treatment of RDD. We present our retrospective experience of cobimetinib treatment in a large series of patients with RDD. METHODS Following approval of the institutional reviewed board, patients (pts) with RDD who were consecutively seen at Mayo Clinic and treated with cobimetinib between 2013-2021 were included. Response was assessed as described by Goyal et al (Haematologica 2020;105:2). Cobimetinib was given 20-60 mg once a day by mouth for 21 days in a 28-day cycle. Adverse events (AEs) were graded using the National Cancer Institute Common Toxicity Criteria v5.0. Time-to-event analyses were calculated from the time of treatment initiation, while duration of response was calculated from the time of 1 st response. Tumor genomic profile was analyzed using Tempus-xT ® assay (Chicago, IL), which includes targeted DNA sequencing (648 oncogenes) and whole transcriptome sequencing. RESULTS Of the 54 pts with RDD, ten were treated with cobimetinib and included in this study. The median follow-up was 16 months (m) [95% confidence interval (CI): 13-not reached (NR)] and most (n=8; 80%) were females. The median age at the time of treatment was 63 years (range: 36-74). Cobimetinib was used as first line therapy in four pts. Overall response rate was 70%, with 30% and 40% achieving complete (CR) and partial (PR) responses, respectively. One had stable disease (SD) and two had progressive disease (PD) (Table 1). The median progression-free-survival was 6.4 m (95%CI: 4.9-NR) and at 6 and 12 m, 67% and 50% of pts remained free from disease progression or death, respectively (Figure 1). The median duration of response was 7.6 m (95%CI: 3.1-NR). At the time of last follow-up, nine (90%) pts were alive. One pt died due to myelodysplastic syndrome with excessive blasts. She had multiple chemotherapy treatments before initiation of cobimetinib. Cobimetinib was discontinued in this pt due to grade 3 anemia and skin toxicity after 6 m of therapy and had SD as the best response. Median duration of treatment for the entire cohort was 6 m (range: 2-14). In the seven pts who responded, the median duration of treatment was 7 m (range: 2-14). Cobimetinib was discontinued in seven pts: disease progression (n=3; one disease progression after achieving PR and two PD while on therapy), grade 3 left ventricular systolic dysfunction (n=1), grade 3 diarrhea (n=1), grade 3 anemia (n=1), and grade 2 creatinine elevation (n=1). Five (50%) pts were started at a reduced dose of cobimetinib at the discretion of treating physician [20 mg (n=4) and 40mg, (n=1)]. Two pts were started at 60 mg and dose reduced to 20 mg after one cycle of treatment due to grade 2 skin toxicity in one and grade 2 skin toxicity and diarrhea in the other. Both pts achieved a PR but progressed after four and six cycles, respectively. One pt started at 40 mg and reduced to 20 mg due to grade 2 skin toxicity after two cycles achieving a PR. The response was sustained in this pt for at least 9 months, until the time of last follow-up (Table 1). Tissue molecular testing showed five pts with MAPK pathway alterations and all of them responded to therapy (CR=3 and PR=2). Of the other five pts who either did not have a MAPK pathway alteration (n=4) or had test failure (n=1), responses were observed in two (40%) pts, both PR (Table 1). CONCLUSION Our study suggests that cobimetinib is an effective treatment in RDD, with responses observed in all pts having MAPK pathway alterations. Less than half of pts without a MAPK pathway alteration achieved a response. However, treatment discontinuations due to AEs were common despite dose reductions. Patients who were treated at low doses of cobimetinib also had remarkable clinical response. Further studies are needed in evaluating other MAPK pathway inhibitors with better toxicity profile to improve adherence and outcomes. Figure 1 Figure 1. Disclosures Tobin: National Institutes of Health: Research Funding; Mayo Clinic Center for MS and Autoimmune Neurology: Research Funding; Mallinckrodt Pharmaceuticals: Research Funding. Bennani: Vividion: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Verastem: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Kymera: Other: Advisory Board. Vassallo: Pfizer: Research Funding; Bristol-Myers-Squibb: Research Funding; Sun Pharma.: Research Funding.

Abstract Introduction: Factors contributing to the antitumor activity of systemic oncolytic virotherapy (OV) include (i) generalized innate immune activation due to virus infusion; (ii) direct oncolytic and/or immune-mediated destruction of OV infected tumor cells due to intratumoral spread of the virus infection; (iii) collateral boosting of tumor antigen-specific T cell responses that target uninfected tumor cells. We investigated the relative contributions of these 3 factors T cell lymphoma (TCL) patients (pts) responding to a single intravenous infusion of Voyager-V1, an oncolytic vesicular stomatitis virus (VSV) encoding IFNβ and sodium iodide symporter (NIS) on NCT03017820. Of relevance, the virally encoded IFNβ enhances tumor specificity, boosts proinflammatory activity & serves as a convenient serum biomarker of infection. Methods: In a first in human trial, a single infusion of Voyager-V1 was administered to 15 pts with relapsed refractory hematologic cancers; 4 dose levels (DL) were tested (5x10 9, 1.7x10 10, 5x10 10, 1.7x10 11 TCID50); 7 pts had TCL. Cytokine levels and CRS symptoms were determined as a measure of generalized immune activation; serum IFNβ levels were monitored as a pharmacodynamic biomarker of virus infection; antitumor T cell responses were measured using ELISPOT assays. Results: Of 8 TCL pts, 3 had RECIST responses: PR at DL 2, a CR & PR at DL 4. Most pts experience short lived CRS typically resolving within 24 hours of virus infusion. Serum IFNβ levels increased post-therapy in all pts, typically peaking by 24 hours post virus infusion and returning to baseline by median day 10. T cell responses could not be accurately determined in most cases due to suboptimal T cell viability and/or function after thawing of frozen PBMC. Factors contributing to tumor regression in each of the responding pts appeared to differ significantly, as exemplified by the case reports below. Pt (I) with CTCL experienced grade 1 CRS followed by brisk regression of multiple cutaneous lesions. The PR lasted 3 mo, after relapse of an eye lesion, but responses at other sites deepened after the relapsed lesion was irradiated; pt remained off active therapy for the next 2 yrs. Peak serum IFNβ 4 hours post infusion was only 182 pg/ml suggesting that disease response may have been driven by nonspecific innate immune activation associated with the virus infusion. Pt (IV) (CD30+ PTCL/ cutaneous relapse) had short lived grade 2 CRS, then developed signs of IFNβ toxicity with AST elevation and thrombocytopenia. Oral ruxolitinib was administered for 5 days as IFNβ toxicity mitigation leading to normalization of AST and platelets. All PET-avid tumors regressed completely. This CR continues 16 months post virus infusion. Peak serum IFNβ was 18,213 pg/ml strongly suggesting that response was driven by extensive intratumoral amplification of the virus and oncolytic tumor destruction. Robust CTL responses to tumor neoantigens were detected in this pt at baseline indicating that collateral boosting of tumor-specific T cells may have been responsible for the long term maintenance of this CR Pt (V) (CD30+ PTCL) had short lived grade 2 CRS followed by response at all disease sites (including complete normalization of an enlarged FDG-avid spleen). Her PR ended after 6 months due to relapse in cervical lymph nodes. Peak serum IFNβ level was modest, 600 pg/ml & sustained over 48 hours suggesting slower intratumoral spread of the virus infection. The deepening of the response long after resolution of the oncolytic phase points strongly to a contribution from antitumor CTL but the assay was technically unsatisfactory in this pt. Conclusion: Analysis of the correlative data supports that intravenous Voyager-V1 therapy can recruit diverse antitumor effector mechanisms to impact tumor response in pts with heavily pretreated TCL. Importantly, intratumoral virus amplification, which results in high circulating concentrations of IFNβ, does not necessarily lead to tumor regression perhaps because of defective immune cell recruitment and/or activation in some tumors but not in others. This will be further evaluated in future study participants by performing CTL assays on fresh, rather than frozen PBMC. In conclusion, a single IV infusion of Voyager-V1 shows highly promising activity against treatment refractory TCL and should be further advanced as a new single-shot or combination therapy for this therapeutically challenging indication. Figure 1 Figure 1. Disclosures Witzig: Karyopharm Therapeutics, Celgene/BMS, Incyte, Epizyme: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS, Acerta Pharma, Kura Oncology, Acrotech Biopharma, Karyopharm Therapeutics: Research Funding. Paludo: Karyopharm: Research Funding. Patnaik: StemLine: Research Funding; Kura Oncology: Research Funding. Dispenzieri: Takeda: Research Funding; Alnylam: Research Funding; Pfizer: Research Funding; Oncopeptides: Consultancy; Sorrento Therapeutics: Consultancy; Janssen: Consultancy, Research Funding. Bennani: Kymera: Other: Advisory Board; Vividion: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Verastem: Other: Advisory Board. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Gertz: Aurora Biopharma: Other: Stock option; Akcea Therapeutics, Ambry Genetics, Amgen Inc, Celgene Corporation, Janssen Biotech Inc, Karyopharm Therapeutics, Pfizer Inc (to Institution), Sanofi Genzyme: Honoraria; Akcea Therapeutics, Alnylam Pharmaceuticals Inc, Prothena: Consultancy; AbbVie Inc, Celgene Corporation: Other: Data Safetly & Monitoring; Ionis Pharmaceuticals: Other: Advisory Board. Dingli: Janssen: Consultancy; Sanofi: Consultancy; GSK: Consultancy; Apellis: Consultancy; Novartis: Research Funding; Alexion: Consultancy. Kumar: Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Beigene: Consultancy; Carsgen: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Merck: Research Funding; Oncopeptides: Consultancy; Roche-Genentech: Consultancy, Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Honoraria; Tenebio: Research Funding; Novartis: Research Funding; Bluebird Bio: Consultancy; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding. Bergsagel: Oncopeptides: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Genetech: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; Janssen: Consultancy, Honoraria. Kapoor: Karyopharm: Consultancy; Cellectar: Consultancy; BeiGene: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Amgen: Research Funding; Ichnos Sciences: Research Funding; Regeneron Pharmaceuticals: Research Funding; Glaxo SmithKline: Research Funding; Karyopharm: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; AbbVie: Research Funding. Lin: Sorrento: Consultancy; Vineti: Consultancy; Legend: Consultancy; Novartis: Consultancy; Bluebird Bio: Consultancy, Research Funding; Merck: Research Funding; Juno: Consultancy; Celgene: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Gamida Cell: Consultancy; Janssen: Consultancy, Research Funding; Takeda: Research Funding. OffLabel Disclosure: VSV-IFNβ-NIS is an oncolytic virus in clinical trial for systemic administration in hematologic malignancies

Abstract Introduction: VEXAS syndrome (vacuoles, E1 ubiquitin ligase, X-linked, autoinflammatory, somatic) is a newly recognized inflammatory disorder caused by somatic mutations in the UBA1 gene. Bone marrows from these patients reveal a range of morphological changes in hematopoietic precursor cells. In this study, we aim to assess the laboratory indices and morphologic spectrum of bone marrow pathology in VEXAS syndrome. Methods: We identified 16 cases of VEXAS syndrome. All cases had confirmed UBA1 mutation. We reviewed bone marrow biopsies corresponding to the date of diagnosis. This study was approved by the Mayo Clinic Institutional Review Board. Results: All patients were male with a median age of 73 years - associated autoimmune disorders included Sweet syndrome, inflammatory arthritis, relapsing polychondritis and granulomatosis with polyangiitis. 14/16 patients had anemia with median hemoglobin of 10.4 (Range: 6.7- 14.1 g/dL). 15/16 had macrocytosis with median MCV 110.4 (Range: 94.8- 123.1 /fL). 5/16 had thrombocytopenia with median platelet count 174 (Range: 20- 500 x10^9/L). 7/16 had leukopenia with median WBC 3.65 (Range: 2.4- 11.6 x10^9/ L). The ESR and CRP medians were 61.0 mm/hr and 81.5 mg/L, respectively. Karyotype was performed in 12 patients of which 11 were normal and the remaining case showed a complex karyotype. An NGS panel targeting the most frequent myeloid disorder associated gene mutations was negative in 10/15 cases. GS for myeloid mutations revealed pathogenic mutations in 5 patients, involving genes TET2 (2/5), DNMT3A (2/5), and TP53 (1/5). Conclusions: Bone marrow findings in VEXAS syndrome, in this series of 16 patients, are individually non-specific, yet when taken altogether in the overtly abnormal cases, are very suggestive when the clinical index of suspicion is high. In such scenarios, the combined clinical and bone marrow findings should prompt discussion and consideration for UBA1 mutation testing given the significant clinical implications for patient management and prognosis. Disclosures Patnaik: StemLine: Research Funding; Kura Oncology: Research Funding. Warrington: Eli Lilly: Research Funding; Kiniksa: Research Funding.

Abstract Introduction: Autoimmune Hemolytic Anemia (AIHA) is caused by autoantibodies that react with red blood cells (RBCs) resulting in predominantly extravascular hemolysis in an FcR and/or complement-dependent manner. In warm AIHA (wAIHA), autoantibodies are generally of the IgG isotype, while in cold agglutinin disease (CAD) they are predominantly of the IgM isotype. It is well established that the classical complement cascade is critical for the pathogenesis of CAD based on therapeutic clinical studies. Published data also suggest that complement activation plays a role in wAIHA, although it is not clear which patients would most benefit from complement-based therapy. To help address this question, we utilized an assay that measures the ability of autoantibodies in patient sera to induce complement deposition on the surface of donor RBCs (based on Meulenbroek, et al., 2015). Methods: Sera were collected retrospectively from 12 wAIHA patients whose direct antiglobulin tests (DAT) were either IgG+/C3+ or IgG+/C3-. Sera retrospectively collected from two CAD patients were used as positive controls. Individual patient sera were examined in the in vitro complement deposition assay using RBCs from type O+ healthy donors. RBCs and sera were incubated at 37 oC in the presence of either EDTA or an inhibitory antibody against C1q as inhibitors of the classical pathway. RBCs were then stained and processed by flow cytometry to determine the level of C4 deposition. Results: Sera from both CAD patients deposited C4 on the surface of ~70% of healthy human RBCs in vitro. Four out of twelve (33%) sera from wAIHA patients displayed this activity, and all four of these patients were identified as IgG+/C3+ on DAT. Complement deposition ranged from ~10-60% of the RBCs in wAIHA, suggesting heterogeneity in antibody activity for complement deposition in sera from wAIHA patients. Addition of EDTA or an inhibitory antibody against C1q fully blocked deposition of C4 on RBCs by wAIHA sera, indicating dependence of the classical complement pathway. These results indicate differences in the frequency of classical pathway involvement in CAD versus wAIHA and may help identify a subset of wAIHA patients most likely to respond to anti-C1q therapy. Conclusions: The hypothesis of classical complement cascade involvement in wAIHA disease in a subset of patients is supported by our results. Critically, complement deposition on the surface of cells by anti-C1q prevented the deposition of a downstream complement marker, C4. Inhibition of C1q has been shown to block activation of all downstream classical complement components, including C3b and C4b involved in extravascular hemolysis and C5b involved in direct cell lysis. The therapeutic potential of blocking classical complement pathway activity in wAIHA is currently being evaluated in an ongoing Phase 2 interventional trial (NCT04691570) assessing efficacy of an anti-C1q drug candidate in wAIHA patients, focusing on those with evidence of classical complement pathway activity. Disclosures Teigler: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Low: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Rose: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Cahir-Mcfarland: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Yednock: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Kroon: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Keswani: Annexon Inc: Current Employment, Current equity holder in publicly-traded company. Barcellini: Novartis: Honoraria; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Agios: Honoraria, Research Funding; Alexion Pharmaceuticals: Honoraria; Incyte: Membership on an entity's Board of Directors or advisory committees.

SummaryErdheim–Chester disease (ECD) is a rare histiocytic neoplasm with frequent multiorgan involvement. An accurate diagnosis of ECD requires the correlation of clinical features, histopathologic and radiologic findings. We describe a case series of patients with a referral diagnosis of ECD, whereby the diagnosis was changed to non‐histiocytic diseases after comprehensive review at a tertiary care center. This accurate revision of the referral diagnosis of ECD enabled initiation of proper disease‐directed therapy in a timely manner for these patients and avoided unnecessary exposure to systemic cytotoxic chemotherapy or targeted agents. Our study highlights the value of a multidisciplinary team of histiocytosis experts in confirming the diagnosis of ECD and also brings attention to other conditions to consider that can mimic ECD, including osteopoikilosis, tenosynovial giant cell tumour, IgG4‐related disease, fibrous dysplasia and chronic recurrent multifocal osteomyelitis.

Histiocytic neoplasms are rare hematologic disorders accounting for less than 1% of cancers of the soft tissue and lymph nodes. Clinical presentation and prognosis of these disorders can be highly variable, leading to challenges for diagnosis and optimal management of these patients. Treatment often consists of systemic therapy, and recent studies support use of targeted therapies for patients with these disorders. Observation (“watch and wait”) may be sufficient for select patients with mild disease. These NCCN Guidelines for Histiocytic Neoplasms include recommendations for diagnosis and treatment of adults with the most common histiocytic disorders: Langerhans cell histiocytosis, Erdheim-Chester disease, and Rosai-Dorfman disease.

AbstractLangerhans cell histiocytosis (LCH) is a histiocytic neoplasm that can involve the lungs as single system (LCH‐SSL) or multisystem disease (LCH‐MSL). The role of full‐body radiographic staging to determine whether patients have LCH‐SSL or LCH‐MSL is unclear. Long‐term outcomes of LCH‐SSL versus LCH‐MSL and multisystem without lung involvement (LCH‐MSNL) are unknown. A retrospective study of adult LCH patients seen at our center from January 2000 to 2020 was performed. In Part 1, we addressed utility of whole‐body staging imaging among those presenting with isolated pulmonary signs or symptoms. Staging was defined as fluorodeoxyglucose positron emission tomography‐computed tomography (CT) or whole‐body CT obtained within 3 months of diagnosis. In Part 2, we examined the frequency of developing extra‐pulmonary disease over time and mortality in patients with LCH‐SSL. In Part 3, we compared the overall survival of LCH‐SSL, LCH‐MSL, and LCH‐MSNL. Part 1: 240 patients with LCH were identified. A total of 112 (47%) had pulmonary signs or symptoms at presentation. Thirty‐four (30%) underwent radiographic staging and only one showed evidence of extra‐pulmonary disease. Part 2: 108 (45%) were LCH‐SSL. Median follow‐up duration of 4.5 years (95% confidence interval [CI]: 2.9–6.0). None developed extra‐pulmonary disease. Part 3: 5‐year survival: 94% (95% CI: 84%–98%) for LCH‐SSL, 78% (95% CI: 59%–90%) for LCH‐MSL, and 75% (95% CI: 53%–89%) for LCH‐MSNL. LCH patients presenting with isolated pulmonary signs or symptoms rarely have extra‐pulmonary involvement at the time of diagnosis and generally do not develop extra‐pulmonary progression. LCH‐SSL has the best overall survival, while LCH‐MSL and LCH‐MSNL have similar clinical outcomes.

7 Background: Despite the promise of precision oncology, the cost-effectiveness of targeted treatments is debated. Until now, the increase in price of oral targeted anti-cancer treatments used in common malignancies has not been evaluated. Here, we report patterns in price changes from 2015-2019 for multiple oral anti-cancer medications for common solid tumor malignancies. Methods: We utilized the publicly available Medicare Part D provider utilization and payment database from 2015 to 2019. We extracted drug prices (using generic names) for commonly used targeted oral anticancer agents for lung, breast, and prostate cancer. The primary outcome was the correlation of average change in Medicare spending per dosage unit among the multiple brand-name medications within each class available. We additionally calculated compound annual growth rates (CAGRs) [i.e. mean annual growth rates over a specified period of time] for medication costs within each class, and compared it with the consumer price index (a measure of the average change over time in the prices of consumer items). Results: The study included 6 EGFR inhibitors (1 generic), 5 ALK inhibitors, 2 BRAF inhibitors, 3 hormonal agents (1 generic), 3 CDK4/6 inhibitors, 2 PARP inhibitors, and 7 anti-androgen agents (2 generic). The median (range) Pearson correlation coefficient values for drugs within each class were 0.967 (0.915-0.978) for EGFRi, 0.981 (0.966-0.989) for ALKi, 0.996 for BRAFi, 0.994 (0.992-0.999) for CDK4/6i, 0.855 for PARPi, and 0.442 (-0.522-0.962) for anti-androgens. Except for anti-androgens, all other drug classes showed strong linear association in price increase between two drugs within the same-class. A coefficient could not be calculated for therapies with 2 or fewer data points ( i.e., generic erlotinib, dacomitinib, generic abiraterone, apalutamide, and darolutamide). There was no significant correlation between expenditure for anti-estrogen agents. The median (range) CAGRs in costs over this 5-year period were: were 4.56% for EGFRi, 6.40% for ALKi, 2.58% for BRAFi, 5.48% for hormonal agents, 5.21% for CDK4/6i, 27.29% for PARPi, and 34.8% for anti-androgen agents. Conclusions: The median CAGR in costs for modern oral precision driven cancer therapeutic classes mostly outpaced CPI (2.26%/year), and the average inflation rate (1.90%/year). Increase in cost within the same class should be weighed against incremental clinical benefit for the patients. For most classes despite there being multiple agents, the rise in drug expenditures correlated closely, calling into question the true value of within class competition. There is an urgent need for drug pricing reform given the average expenditure of Medicare part D, and ultimately out of pocket costs for our patients with cancer continues to trend upwards. Increased advocacy efforts are needed to ensure precision therapeutics remains an attainable and sustainable goal.