Citations

427 Background: Derazantinib, a potent anti- FGFR1-3 oral kinase inhibitor, has shown clinically meaningful anti-tumor activity (21%), durable responses (median, 6.4 months), and progression-free survival (median, 8.0 months) in patients (pts) with FGFR2 fusion (FGFR2F)-positive intrahepatic cholangiocarcinoma (iCCA), and with a manageable toxicity profile. Herein, we report an interim analysis of the clinical efficacy data of derazantinib for pts with iCCA harboring FGFR2 mutations or amplifications (FGFR2M/A), a potential therapeutic option currently not addressed by FGFR inhibitors. Methods: Study FIDES-01 enrolls in a dedicated cohort pts with FGFR2M/A+ advanced iCCA who received previous chemotherapy. Pts receive 300 mg derazantinib daily until disease progression, death or intolerance. The primary endpoint is the proportion of pts alive and free of disease progression at 3 months (PFS3; RECIST 1.1, central imaging review) using a Simon’s two-stage sample-size minimizing statistical design. The interim analysis population comprises 23 pts dosed (intention to treat) who had at least one post-baseline tumor assessment (or clinical progression, or died) by June 3, 2021, using investigator assessments based on RECIST 1.1. Results: To date, 28 pts have been enrolled and dosed. FGFR2M/A observed in these pts included missense point mutations (78%), other short variants (11%) and amplifications (11%). Transition from stage 1 to stage 2 of the study was achieved earlier than planned after 8 (67%) of 12 pts were assessed as PFS3 based on central imaging review. In 23 pts included in this interim analysis for efficacy, the best overall response (investigator assessment) was confirmed partial response in two (8.7%) and stable disease in additional 15 pts (65.2%), resulting in a disease control rate of 73.9% (95% CI, 51.6–89.8). Using Kaplan-Meier analyses, the median PFS was 7.3 months (95%CI, 3.5–16.7) and the probability of being progression-free at 3 months and at 6 months were 76.3% (95%CI, 51.9–89.4) and 50.3% (95%CI, 21.7–73.4), respectively. Clinically meaningful anti-tumor efficacy was observed across all types of genetic aberrations. The safety profile of derazantinib in FGFR2M/A+ iCCA pts was consistent with that previously reported for FGFR2F+ iCCA pts. Conclusions: This interim data in study FIDES-01 suggest that derazantinib treatment provides clinical benefit to pts with advanced iCCA harboring FGFR2M/A who progressed after at least one line of standard chemotherapy. To our knowledge, this is the first report of clinically meaningful anti-tumor efficacy in a prospectively planned cohort of iCCA pts harboring FGFR2M/A. The study is ongoing to accrue 43 patients, assessing derazantinib as a therapeutic option for FGFR2M/A+ iCCA pts after disease progression on first-line treatment. Clinical trial information: NCT03230318.

Abstract Background: Ciltacabtagene autoleucel (cilta-cel) is a novel chimeric antigen receptor T-cell therapy that is being evaluated in the CARTITUDE-1 trial (NCT03548207) in patients with relapsed or refractory multiple myeloma (RRMM) who are triple-class exposed (to immunomodulatory drugs, proteasome inhibitors, and an anti-CD38 monoclonal antibody). As there is no clear standard of care for this patient population, and due to an absence of direct head-to-head trials evaluating cilta-cel and other relevant treatments, indirect treatment comparisons (ITCs) between cilta-cel and treatments used in current clinical practice, ie, physician's choice of treatment (PCT), have been previously conducted. Meta-analyses were performed to derive single summary effect estimates for overall survival (OS) and progression-free survival (PFS) by pooling ITCs evaluating cilta-cel versus PCT in patients with triple-class exposed RRMM. Methods: ITCs examining the comparative effectiveness of cilta-cel versus PCT on OS and PFS were included. Data on cilta-cel corresponded to the February 2021 data-cut for CARTITUDE-1. Data on PCT was leveraged from the following sources: (i) the Flatiron database, a primarily US community-based multiple myeloma registry, (ii) the long-term follow-up results of three global RRMM daratumumab randomized clinical trials (POLLUX [NCT02076009], CASTOR [NCT02136134], and EQUULEUS [NCT01998971]), (iii) the US-based retrospective MAMMOTH study, and (iv) a representative German patient registry maintained by OncologyInformationService (OIs). In each ITC, the PCT group was comprised of patients who satisfied key eligibility criteria for CARTITUDE-1 and was made comparable to CARTITUDE-1 using inverse probability of treatment weighting. Hence, the ITCs were deemed appropriate to meta-analyze. The meta-analyses used a robust variance estimator to account for the use of CARTITUDE-1 in each pairwise ITC. The main meta-analyses considered all participants treated with cilta-cel in CARTITUDE-1 compared with PCT. Sensitivity analyses considered ITC effect estimates based on all enrolled participants in CARTITUDE-1. Pooled summary effect estimates were presented as hazard ratios (HRs) with the corresponding 95% confidence intervals (CIs). Results: Based on availability of data, the main meta-analyses included four ITCs for OS and three ITCs for PFS. Cilta-cel was associated with a statistically significant improvement in OS (HR: 0.21, 95% CI: 0.13 to 0.34; Figure 1) and PFS (HR: 0.20, 95% CI: 0.07 to 0.63; Figure 2) compared to PCT. Sensitivity analyses including all enrolled participants confirmed the results of the main meta-analyses. Conclusions: In the meta-analyses, cilta-cel demonstrated a significant advantage over PCT in terms of OS and PFS, highlighting its potential as an effective therapy in patients with triple-class exposed RRMM. Figure 1 Figure 1. Disclosures Hari: GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Celgene-BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Karyopharm: Consultancy; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Adaptive Biotech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Research Funding. Berdeja: EMD Sorono, Genentech: Research Funding; Celularity, CRISPR Therapeutics: Research Funding; Bluebird bio, BMS, Celgene, CRISPR Therapeutics, Janssen, Kite Pharma, Legend Biotech, SecuraBio, Takeda: Consultancy; Abbvie, Acetylon, Amgen: Research Funding; GSK, Ichnos Sciences, Incyte: Research Funding; Lilly, Novartis: Research Funding; Poseida, Sanofi, Teva: Research Funding. Gay: Bluebird Bio: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Honoraria. Hooper: Eversana: Current Employment; Janssen: Consultancy. Haltner: Eversana: Current Employment; Janssen: Consultancy. Kumar: Carsgen: Research Funding; Novartis: Research Funding; Merck: Research Funding; Bluebird Bio: Consultancy; Roche-Genentech: Consultancy, Research Funding; Oncopeptides: Consultancy; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Honoraria; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Beigene: Consultancy; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Tenebio: 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; Amgen: Consultancy, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Sanofi: Research Funding. Martin: Sanofi: Research Funding; Janssen: Research Funding; GlaxoSmithKline: Consultancy; Amgen: Research Funding; Oncopeptides: Consultancy. Mateos: AbbVie: Honoraria; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Regeneron: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene - Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bluebird bio: Honoraria; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sea-Gen: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Moreau: Sanofi: Honoraria; Janssen: Honoraria; Celgene BMS: Honoraria; Oncopeptides: Honoraria; Amgen: Honoraria; Abbvie: Honoraria. Rosta: EVERSANA: Current Employment; Janssen Inc.: Consultancy. Samjoo: EVERSANA: Current Employment; Janssen Inc.: Consultancy. Usmani: GSK: Consultancy, Research Funding; Abbvie: Consultancy; Array BioPharma: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding, Speakers Bureau; EdoPharma: Consultancy; Seattle Genetics: Consultancy, Research Funding; Janssen Oncology: Consultancy, Research Funding; SkylineDX: Consultancy, Research Funding; Takeda: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Research Funding, Speakers Bureau; Merck: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding, Speakers Bureau; Pharmacyclics: Consultancy, Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Consultancy, Research Funding, Speakers Bureau. Weisel: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria; Oncopeptides: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy; Novartis: Honoraria; Pfizer: Honoraria. Jackson: Janssen: Current Employment; Memorial Sloan Kettering Cancer Center: Consultancy. Olyslager: Janssen: Current Employment. Schecter: Janssen: Current Employment, Current holder of stock options in a privately-held company. Vogel: Janssen Global Services, LLC: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company, Divested equity in a private or publicly-traded company in the past 24 months. Garrett: Legend Biotech USA: Current Employment. Lee: Legend Biotech: Current Employment, Current equity holder in publicly-traded company. Nesheiwat: Legend Biotech USA: Current Employment. Pacaud: Legend Biotech: Current Employment. Valluri: Janssen: Current Employment, Current equity holder in publicly-traded company. Costa: Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria. Lin: Merck: Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Takeda: Research Funding; Legend: Consultancy; Sorrento: Consultancy; Gamida Cell: Consultancy; Vineti: Consultancy; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding.

Abstract Introduction: Cytokine release syndrome (CRS) is a common toxicity associated with chimeric antigen receptor (CAR) T-cell therapies. Corticosteroids and steroid-sparing therapies such as tocilizumab, an interleukin-6 receptor antagonist, and anakinra, an interleukin-1 receptor antagonist, have been used to reduce the incidence and severity of these toxicities. Preclinical and clinical case studies of anakinra, administered subcutaneously or intravenously at various doses, have shown promising results in the management of CRS and systemic inflammatory responses resembling hemophagocytic lymphohistiocytosis (HLH)/macrophage activation syndrome (MAS). In CARTITUDE-1, CRS occurred in 95% of heavily pretreated patients with relapsed/refractory multiple myeloma (RRMM) receiving ciltacabtagene autoleucel (cilta-cel), a CAR T-cell therapy with 2 B-cell maturation antigen-targeting single-domain antibodies (Berdeja et al. Lancet 2021). Per protocol, tocilizumab was required to manage CRS with option to give steroids and/or anakinra per investigator discretion. Here, we report the institutional experiences of anakinra use in the management of CRS in patients who have received cilta-cel as part of the CARTITUDE-1 study. Methods: Eligible patients had MM and received ≥3 prior therapies or were refractory to a proteasome inhibitor (PI) and immunomodulatory drug (IMiD), and had received a PI, IMiD, and anti-CD38 antibody (Berdeja et al. Lancet 2021). After apheresis, bridging therapy was permitted. Patients received a single cilta-cel infusion (target dose: 0.75×10 6 CAR+ viable T cells/kg; range 0.5-1.0×10 6) 5-7 days after lymphodepletion (300 mg/m 2 cyclophosphamide, 30 mg/m 2 fludarabine daily for 3 days). Lee et al (Blood 2014) grading criteria for CRS were mapped to the ASTCT criteria for CRS. Post-hoc analysis of data revealed use of anakinra at some sites in patients who failed to respond to the initial management of CRS with tocilizumab +/- dexamethasone or in clinical settings where rise of ferritin and/or liver function tests were indicative for continued HLH/MAS-like manifestations (Kennedy et al. ASH 2020). Results: Of 97 patients in CARTITUDE-1, CRS occurred in 92 (95%) patients; 4% were grade 3/4. The median time to onset was 7 days (range 1-12) and median duration was 4 days (range 1-14). Supportive measures to treat CRS were administered to 91% of patients, most commonly tocilizumab (69%; 4 patients received ≥3 doses), corticosteroids (22%), and anakinra (18 patients, 19%). CRS resolved in 99% of patients. Anakinra was administered after initial tocilizumab and within the first 48 hours (range 0-6 days) of CRS onset for the majority of patients as part of effective management of CRS. Anakinra was administered at a dose of 100-200 mg every 8-12 hours over a median of 2.5 days (range 1-15 days). CRS uniformly resolved following anakinra use in CARTITUDE-1, apart from one patient who died from sepsis (grade 5 outcome) due to HLH/MAS considered related to treatment (Table). Conclusions: CRS events in cilta-cel-treated patients in CARTITUDE-1 were common, generally low-grade, and successfully managed with standard tocilizumab +/- dexamethasone. The use of anakinra should be considered in patients with persistent CRS/inflammatory symptoms despite tocilizumab use, and in particular in patients with HLH/MAS-like symptoms/phenotype occurring following CRS or in the absence of prior CRS. Figure 1 Figure 1. Disclosures Wong: Amgen: Consultancy; Genentech: Research Funding; Fortis: Research Funding; Janssen: Research Funding; GloxoSmithKlein: Research Funding; Dren Biosciences: Consultancy; Caelum: Research Funding; BMS: Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees. Richard: Karyopharm, Janssen: Honoraria. Lin: Juno: Consultancy; Legend: Consultancy; Merck: Research Funding; Bluebird Bio: Consultancy, Research Funding; Sorrento: Consultancy; Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Takeda: Research Funding; Gamida Cell: Consultancy; Vineti: Consultancy. Madduri: Janssen: Current Employment. Jackson: Janssen: Current Employment; Memorial Sloan Kettering Cancer Center: Consultancy. Zudaire: Janssen: Current Employment. Romanov: Janssen: Current Employment. Trigg: Janssen: Current Employment. Vogel: Janssen Global Services, LLC: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company, Divested equity in a private or publicly-traded company in the past 24 months. Garrett: Legend Biotech USA: Current Employment. Nesheiwat: Legend Biotech USA: Current Employment. Martin: Oncopeptides: Consultancy; Sanofi: Research Funding; Janssen: Research Funding; GlaxoSmithKline: Consultancy; Amgen: Research Funding. Jagannath: Bristol Myers Squibb: Consultancy; Legend Biotech: Consultancy; Karyopharm Therapeutics: Consultancy; Janssen Pharmaceuticals: Consultancy; Takeda: Consultancy; Sanofi: Consultancy. OffLabel Disclosure: At the time of abstract submission, cilta-cel is being investigated for the treatment of multiple myeloma but is not yet approved

Introduction: Children with low Vitamin D levels are at increased risk of developing asthma. In the present study, we tested the hypothesis that the Vitamin D receptor (VDR) agonist, calcitriol, will reduce tumor necrosis factor‐α (TNF‐α)‐induced expression of chemokines in human fetal airway smooth muscle cells (fASM). Methods and Results Human fASM cells were dissociated from canalicular stage (18‐22 weeks gestation) lung tissue (de‐identified samples, in vitro use only and considered exempt by Mayo Institutional Review Board). Fetal ASM cells were pre‐treated with vehicle (0.001% DMSO) or 100 nM calcitriol for 1 h, and then exposed to 10 ng/mL TNFα for 6 or 24 h. Expression of CCL5 and CCL11 were measured by quantitative real time PCR and ELISA. Cells were transfected with VDR siRNA. Treatment with TNFα for 6 h increased mRNA expression and secretion of CCL5 and CCL11. While pre‐treatment with calcitriol reduced CCL5 and CCL11 expression in the presence of TNFα. Knockdown of the VDR expression demonstrated that calcitriol's effects are mediated through VDR. Conclusions These novel data demonstrate that calcitriol modulates cytokine enhancement of chemokines in developing ASM. Vitamin D may be a new therapeutic target in reducing inflammation in the immature airway. Supported by NIH F32 HL123075 (Britt), T32 HL105355 (Vogel), and R01s HL088029 and HL056470 (Prakash), and the Mayo Clinic Department of Anesthesiology (Pabelick, Prakash).

12086 Background: Patients with bone metastases may experience pain and decreased quality of life. Standard of care therapies such as radiation therapy could take weeks for pain relief and carry a risk of radiation induced fracture. Minimally invasive percutaneous radiofrequency ablation (RFA) have been shown in small observational studies to be an alternative treatment for bone metastases. We report the results of the OPuS One trial evaluating RFA for the palliative treatment of patients with painful bone metastases. Methods: OPuS One (NCT03249584) was a multicenter prospective trial. 218 subjects with painful bone metastases (≥ 4/10 worst pain scores, Brief Pain Inventory [BPI], at target treated site) were enrolled from 15 sites. RFA was performed under image guidance at one or two locations. Vertebral augmentation was followed based on physician’s discretion. Subjects’ pain (BPI) and quality of life (EQ-5D) scores were calculated in subjects at three days, one week, and one, three, six, and 12 months post RFA. Rate of complete (0 pain score at treated site with no concomitant analgesic increase) and partial responders (≥ 2 pain score reduction without analgesic increase or analgesic reduction of ≥ 25% from baseline) were calculated. Device-, procedure-, and/or therapy-related adverse events (AEs) were collected. Results: 206 subjects, 113 (55%) female and 93 (45%) males (mean age was 63.7 years) were treated with RFA. Most common primary cancers were breast (23%), lung (23%), and kidney (10%). 184 (89%) subjects were treated for metastatic lesions involving the thoracolumbar spine and 22 (11%) subjects were treated for iliac crest, periacetabulum, sacrum or mixed vertebral and pelvic location. 99% (262/264) of RFA procedures were technically successful and 97% were followed by vertebral augmentation. Subjects reported significant improvement in worst pain from baseline at 7.8 to 5.5, 4.7, 3.6, 3.2, 2.4, and 2.6 at three days, one week and one, three, six, and 12 months post RFA, respectively (p < 0.0001 for all visits). Significant improvements were also seen in average pain (p < 0.0001 for all visits), pain interference (p < 0.0001 for all visits), and quality of life scores (p < 0.0001 for all visits). Overall response rates were 53%, 58%, 61%, 63%, 70%, and 75% at three days, one week, one month, three months, six months, and twelve months post RFA, respectively. Six AEs were reported with three as serious: intra-abdominal fluid collection, pneumonia and respiratory failure. 82 deaths were reported during the study, none were related to the device, therapy, and/or procedure. No skeletal related events were reported. Conclusions: In a large prospective multicenter trial, OPuS One, RFA provided rapid, significant, and durable improvements in pain relief and quality of life up to 12 months. Clinical trial information: NCT03249584.

4100 Background: Checkpoint inhibition with anti-PD1 is able to elicit objective response rates (ORR) of ̃ 20% in patients with advanced hepatocellular carcinoma (aHCC) but molecular biomarkers predicting response remain unknown. Here, we define biomarkers of response and primary resistance to anti-PD1 in aHCC by analyzing molecular features prior to systemic therapy. Methods: Through an international consortium of 13 referral centers, we gathered 111 fresh and archived tumor samples from patients with advanced HCC treated with single agent anti- PD1 therapy. Genomic analysis was performed with whole genome expression arrays, CTNNB1 exon 3 mutation assessment and histological evaluation. Results: Overall, we performed transcriptomic analysis in 83 patients, 28 of which were treated in first-line (ORR: 42.9%) while the remaining 55 patients were treated either in 2nd (41 patients, ORR 29.3%) or 3rd line (14 patients, ORR 7.1%) after prior therapy with tyrosine- kinase inhibitors (TKI) sorafenib or lenvatinib. In patients treated in frontline, response was associated with a significant upregulation in Interferon-γ signaling (IFNγ) and genesets relatedto the antigen presentation machinery (FDR < 0.05). Through differential expression analysis we defined an 11-gene signature that was significantly associated with both major pathways (FDR < 0.01) and was capable of predicting OR as well as progression-free- (PFS) and overall survival (OS) in patients with aHCC. The signature was validated in three independent cohorts of melanoma, lung cancer, and head and neck squamous cell cancer patients were high expression was associated with a significant increase in ORR and longer PFS. In HCC, high expression of the signature was associated with a distinct profile in the immune infiltrate, where an increase in M1 macrophages (p = 0.003), CD4 memory T cell (p < 0.01) and CD4 naïve T cell-infiltration (p = 0.026) was observed. Conversely, low expression of the signature was associated with a marked upregulation of regulatory T cells (p < 0.001). No association was found, however, between either the overall immune infiltrate or CTNNB1 mutations and response. In patients that were treated with TKIs in frontline before receiving subsequent anti-PD1 therapy, the signature was no longer able to predict either OR or PFS/OS, suggesting that TKIs may reshape the microenvironment in a way that renders previously inflamed tumors no longer amenable to anti-PD1. Conclusions: Here, we define an 11-gene signature of response to anti-PD1 in first line aHCC. The signature was validated in patients with other solid cancer types, where it retained its predictive ability. Of note, the signature was not able to identify responders among HCC patients that were treated with TKIs prior to anti-PD1 therapy. The molecular changes induced by different treatment lines would, thus, require fresh biopsies prior to anti-PD1to enable biomarker-driven treatment.

4086 Background: Pemigatinib (PEMI), a potent, selective, oral FGFR1-3 inhibitor, has shown efficacy and safety in patients (pts) with CCA and FGFR2 rearrangements/fusions in FIGHT-202 (NCT02924376; objective response rate [ORR], 35.5%; duration of response [DOR], 7.2 months [mo]). Overall survival (OS: 21.1 mo) was not mature in the primary report (Abou-Alfa. Lancet Oncol 2020; cutoff: Mar 22, 2019); herein we report matured efficacy and safety data from FIGHT-202 (cutoff: Apr 7, 2020). Methods: Pts (≥18 y) with known FGF/FGFR alterations and progression after ≥1 prior therapy had FGFR2 rearrangements/fusions (cohort A), other FGF/FGFR alterations (B), or no FGF/FGFR alterations (C). Pts received PEMI 13.5 mg QD (21-d cycle; 2 wks on, 1 wk off) until progression or toxicity. Primary endpoint: independent, centrally confirmed ORR (cohort A); secondary endpoints: ORR (cohorts B, C; cohorts A and B combined); DOR, disease control rate (DCR), progression free survival (PFS), OS, and safety. A post-hoc analysis in cohort A evaluated mOS in responders (pts with complete response [CR] or partial response [PR]) vs non-responders (pts with progressive disease [PD] or stable disease (SD]). Results: At cutoff, 147 pts were enrolled (cohort A, n=108; B, n=20; C, n=17; FGF/FGFR status undetermined, n=2); median follow-up was 30.4 (range, 4.9–38.7) mo and median treatment duration was 5.9 (0.2–36.5) mo. In cohort A, 9.3% of pts remained on therapy at cutoff; in cohorts B and C, all pts had discontinued. Pts discontinued mainly for PD (67.6%, 75%, and 64.7% in cohorts A, B, and C respectively). Independent, centrally confirmed ORR was 37.0%; mOS was 17.5 mo (95% CI, 14.4-22.9) in cohort A (Table 1). mOS for responders (n=40) vs non-responders (n=68) was 30.1 (95% CI, 21.5-NE) mo vs 13.7 (9.6-16.1) mo. Overall, most common all-cause treatment-emergent adverse events (TEAEs) were hyperphosphatemia (58.5%; grade ≥3, 0%), alopecia (49.7%; 0%), diarrhea (46.9%; 3.4%), fatigue (43.5%; 5.4%), nausea (41.5%; 2%), and dysgeusia (40.8%; 0%); 10.2%, 13.6% and 42.2% of pts discontinued, had dose reduction, and treatment interruption due to TEAEs, respectively. Conclusions: These results reinforce the primary data, showing continued, durable responses and sustained tolerability in pts receiving PEMI for CCA harboring FGFR2 rearrangements/fusions. Notably, the matured OS is longer than historical data; OS for responders was more than twice as long vs for non-responders. Clinical trial information: NCT02924376. [Table: see text]

Objective Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date. Design We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry. Results We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix. Conclusion HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction.