Citations

Background: Patients ≥55 years of age with high-risk acute myeloid leukemia (AML) may benefit from an allogeneic hematopoietic cell transplantation (HCT), which is often the only potentially curative therapy available. However, complete remission (CR) is usually a pre-requisite for most centers to perform HCT, as CR predicts an optimal outcome. Many older patients with relapsed/refractory (R/R) AML are not transplanted as they do not achieve the required CR. In addition, due to their advanced age, they are unable to tolerate the myeloablative conditioning required for eradication of disease, while the more tolerable reduced intensity conditioning often exhibits high rates of relapse. The SIERRA trial is a prospective, randomized, phase 3 trial for older patients with R/R AML to address this unmet need. We hypothesized that a targeted delivery of radiation to the marrow, achieved with a limit of 24 Gray (Gy) radiation dose to the liver, via an infusion of a therapeutic dose of Iomab-B enables successful engraftment despite active disease in the marrow. Methods: Eligible patients were ≥55 years with active R/R AML (≥5% blasts), adequate organ function, and related/unrelated 8/8 HLA-matched donors. Patients were randomized (1:1) to the Iomab-B or Conventional Care (CC) arm. Patients randomized to Iomab-B received an outpatient dosimetric dose of Iomab-B followed by nuclear medicine imaging to determine the personalized therapeutic dose that would deliver radiation to the marrow while limiting the delivery of radiation to the liver to 24 Gy. HCT is performed 12-14 days following the infusion of a therapeutic dose of Iomab-B, and a non-myeloablative conditioning backbone of fludarabine (30 mg/m2 x 3) and low-dose Total Body Irradiation (TBI 2 Gy x 1 dose). Patients on the CC arm received investigator's choice of salvage therapy, including newly approved targeted agents, and could proceed to physician's choice of conditioning and HCT if they achieved CR. If CC patients did not achieve CR, the study allowed them to cross-over and receive Iomab-B-based conditioning followed by allogeneic HCT. Results: Preliminary data were available from 106 patients (Table 1). 53 patients (median age 64) were randomized to Iomab-B and received allogeneic transplant. All Iomab-B patients engrafted, despite a pre-therapy median of 26% marrow blasts. After randomization, 83% (44/53) CC patients failed salvage therapy, including 45% (24/53) who received targeted agents. 26 of 44 (60%) CC patients, with a median 33% marrow blasts, crossed over and received Iomab-B followed by allogeneic HCT. Patient age, donor type (MRD, MUD), bone marrow cellularity, blast percentage, type of donor, stem cell dose, administered Iomab-B activity (mCi), and absorbed radiation dose to the marrow (Gy), were analyzed for time to engraftment among each group. Median time to neutrophil and platelet engraftment were 14 days (range 9-22) and 17 days (range 4-39) respectively, with 91% of evaluable patients achieving full donor chimerism (>95% by day 100, Table 1). Neither the radiation dose delivered to the marrow (median 14.7 Gy; range, 4.6-32 Gy; Table 1) nor the total administered activity (median 632 mCi; range, 354-1027 mCi) showed correlation with the time to either neutrophil (p value=0.525) or platelet engraftment (p value=0.952). Regression analyses, considering all of the variables individually, did not indicate a statistically significant correlation (p > 0.1) between days to engraftment and radiation dose delivered to the marrow. These results were consistent for the Iomab-B cross-over group as well. Furthermore, the marrow absorbed dose did not show a significant correlation with % chimerism at day 28 in patients on the Iomab-B arm or in cross-over patients. Conclusion: Dosimetry to determine a patient-specific therapeutic dose of Iomab-B of 24 Gy to the liver provided absorbed marrow radiation doses that allowed for reliable engraftment after allogeneic HCT in older patients with R/R AML, despite a heavy leukemia burden with median bone marrow blasts of 26% prior to HCT (Iomab-B arm). There was no relationship between total administered activity or radiation dose delivered to the marrow with the speed of engraftment. The SIERRA trial is currently enrolling patients (www.sierratrial.com or clinicaltrials.gov NCT02665065). Disclosures Gyurkocza: Actinium: Research Funding. Nath:Daiichi Sankyo: Consultancy, Honoraria; Actinium: Consultancy, Honoraria; Astellas: Consultancy, Honoraria. Stiff:Kite, a Gilead Company: Research Funding; Gamida Cell: Research Funding; Atara: Research Funding; Unum: Research Funding; Macrogenics: Research Funding; Delta-Fly: Research Funding; Amgen: Research Funding. Hari:Takeda: Consultancy; BMS: Consultancy; GSK: Consultancy; Amgen: Consultancy; Janssen: Consultancy; Incyte Corporation: Consultancy. Al-Kadhimi:Actinium Pharmaceuticals Inc.: Research Funding; Genzyme: Research Funding; Bluebird Bio: Current equity holder in publicly-traded company; Gilead Science: Current equity holder in publicly-traded company; Moderna: Current equity holder in publicly-traded company; Novavax: Current equity holder in publicly-traded company. Abboud:BMS: Current equity holder in publicly-traded company; AbbVie Inc: Current equity holder in publicly-traded company; Forty Seven Inc: Research Funding; Abbott Labs: Current equity holder in publicly-traded company; AlloVir: Research Funding; Ryvu: Research Funding; Actinium Pharmaceuticals Inc.: Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; Pfizer: Research Funding. Magalhaes-Silverman:Incyte: Research Funding; Kadmon Holdings: Research Funding; Actinium Pharmaceuticals: Research Funding. Foran:BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; H3Biosciences: Research Funding; Agios: Honoraria, Research Funding; Xencor: Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Boehringer Ingelheim: Research Funding; Abbvie: Research Funding; Revolution Medicine: Consultancy; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Schuster:Amgen, Abbvie, Gilead, Takeda, Celgene, Pharmacyclics, Astellas, Verastem, Merck, Novartis, Takeda, Genentech,, Seattle Genetics: Other: Personal Fees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Kebriaei:Amgen: Other: Research Support; Pfizer: Other: Served on advisory board; Ziopharm: Other: Research Support; Jazz: Consultancy; Novartis: Other: Served on advisory board; Kite: Other: Served on advisory board. Levy:Karyopharm: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Bristol Meyers Squibb: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; BeiGene: Consultancy, Research Funding, Speakers Bureau; Baylor University Med Center: Current Employment. Giralt:ACTINUUM: Consultancy, Research Funding; MILTENYI: Consultancy, Research Funding; KITE: Consultancy; TAKEDA: Research Funding; CELGENE: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria; AMGEN: Consultancy, Research Funding; OMEROS: Consultancy, Honoraria; NOVARTIS: Consultancy, Honoraria, Research Funding. Liang:Actinium Pharmaceuticals: Current Employment. Berger:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company. Reddy:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company.

Background: Despite recently approved novel targeted therapies, most patients with high-risk acute myeloid leukemia (AML) still require allogeneic hematopoietic cell transplantation (HCT) to achieve long-term survival. However, older patients with relapsed/refractory (R/R) AML are often unable to undergo HCT due to the toxicity of myeloablative pre-conditioning. Since higher doses of chemotherapy and radiation are associated with prolonged myelosuppression or infectious complications, targeted radiotherapy with Iomab-B, employed in the SIERRA trial, was designed to minimize toxicities in a patient population unable to tolerate standard high-dose myeloablative HCT pre-conditioning. We hypothesize that Iomab-B, which spares non-hematologic organs such as the GI tract, exhibits a favorable toxicity profile with respect to mucositis, febrile neutropenia (FN), and sepsis. Methods: The SIERRA trial is a prospective trial for patients ≥55 years of age with R/R AML (≥5% blasts) and 8/8 HLA-matched related or unrelated donors. Patients were randomized (1:1) to Iomab-B or Conventional Care (CC). Those in the Iomab-B group received a dosimetric infusion of Iomab-B followed by nuclear imaging to determine the personalized therapeutic dose to be delivered to the bone marrow and to other sites of disease. Therapeutic dose calculations, utilizing the Olinda software (Version 2.1, Hermes Medical) to determine the delivery of a maximum of 24 Gray (Gy) dose to the liver, were performed based on the imaging results. HCT is performed 12-14 days following the infusion of a therapeutic dose of Iomab-B, and a non-myeloablative conditioning backbone of fludarabine (30 mg/m2 x 3) and low-dose Total Body Irradiation (TBI 2 Gy x 1 dose). CC patients received the investigator's choice of salvage therapy. Safety data was evaluated from randomization and up to 100 days after HCT in the patients randomized to the Iomab-B group. We specifically evaluated AE variables of mucositis (Gr 2-4), FN (Gr3,4) and sepsis. An analysis was performed with both total activity of Iomab-B as well as with the radiation dose delivered to the bone marrow, stomach wall, small and large intestinal walls. For each of the 3 AEs of interest, a multivariate analysis was performed, allowing each of the predictor variables to be included in the model. Results: A total of 106 patients were randomized at the time of analysis. For those randomized to Iomab-B, data is available for 45 patients that received a therapeutic dose of Iomab-B and HCT. The median dose of Iomab-B administered was 603 mCi (range 313-1027 mCi) and the median radiation dose delivered to the marrow in the Iomab-B group was 14.7 Gy (range 4.6 - 32 Gy). All patients (median age 64) treated with a therapeutic dose of Iomab-B achieved neutrophil engraftment after a median of 14 days post-HCT (range 9-22), despite presenting with a median 26% marrow blasts prior to initiation of therapy. Rates of mucositis, FN, and sepsis are shown in Table 1. No correlation between AEs (FN, mucositis, sepsis) and administered Iomab-B activity (p=0.08), nor with dose delivered to GI tract (p=0.09) was observed. Furthermore, these AEs were not related to the dose of radiation received by the small intestine (median 2.7 Gy range 1.1-6.8 Gy) large intestine (median 2.6 Gy range 0.9-6.5 Gy), nor an average of all 4 GI sites (median 2.8 Gy range 1.6-6.8 Gy). Conclusions: Unlike cases involving treatment with cytotoxic chemotherapy and external beam radiation where mucositis, infections and sepsis increase along with the administered dose, targeted myeloablative conditioning with Iomab-B resulted in low incidences of severe mucositis, FN, and sepsis. These AEs do not appear to be related to the total dose of Iomab-B administered nor to the specific radiation dose delivered to the bone marrow. Furthermore, a low dose of radiation (2.8 Gy) was received by the GI tract compared to the larger dose of radiation (14.7 Gy) delivered to the marrow. Taken together, these results represent potentially significant improvements in the safe delivery of myeloablative therapy with high-dose targeted radioimmunotherapy, prior to HCT in older patients with R/R AML. This SIERRA trial is currently enrolling patients (www.sierratrial.com or clinicaltrials.gov NCT02665065). Disclosures Gyurkocza: Actinium: Research Funding. Nath:Actinium: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria. Stiff:Kite, a Gilead Company: Research Funding; Gamida Cell: Research Funding; Atara: Research Funding; Unum: Research Funding; Delta-Fly: Research Funding; Macrogenics: Research Funding; Amgen: Research Funding. Hari:Amgen: Consultancy; GSK: Consultancy; Janssen: Consultancy; BMS: Consultancy; Takeda: Consultancy; Incyte Corporation: Consultancy. Al-Kadhimi:Actinium Pharmaceuticals Inc.: Research Funding; Genzyme: Research Funding; Bluebird Bio: Current equity holder in publicly-traded company; Gilead Science: Current equity holder in publicly-traded company; Moderna: Current equity holder in publicly-traded company; Novavax: Current equity holder in publicly-traded company. Abboud:Ryvu: Research Funding; Actinium Pharmaceuticals Inc.: Research Funding; Pfizer: Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; BMS: Current equity holder in publicly-traded company; Abbott Labs: Current equity holder in publicly-traded company; AbbVie Inc: Current equity holder in publicly-traded company; AlloVir: Research Funding; Forty Seven Inc: Research Funding. Magalhaes-Silverman:Kadmon Holdings: Research Funding; Actinium Pharmaceuticals: Research Funding; Incyte: Research Funding. Foran:Xencor: Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Boehringer Ingelheim: Research Funding; Abbvie: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Revolution Medicine: Consultancy; Agios: Honoraria, Research Funding; H3Biosciences: Research Funding. Schuster:Amgen, Abbvie, Gilead, Takeda, Celgene, Pharmacyclics, Astellas, Verastem, Merck, Novartis, Takeda, Genentech,, Seattle Genetics: Other: Personal Fees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Kebriaei:Pfizer: Other: Served on advisory board; Kite: Other: Served on advisory board; Amgen: Other: Research Support; Ziopharm: Other: Research Support; Novartis: Other: Served on advisory board; Jazz: Consultancy. Levy:Karyopharm,Takeda, BMS: Consultancy, Honoraria, Speakers Bureau. Giralt:KITE: Consultancy; NOVARTIS: Consultancy, Honoraria, Research Funding; OMEROS: Consultancy, Honoraria; ACTINUUM: Consultancy, Research Funding; MILTENYI: Consultancy, Research Funding; TAKEDA: Research Funding; CELGENE: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria; AMGEN: Consultancy, Research Funding. Liang:Actinium Pharmaceuticals: Current Employment. Berger:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company. Reddy:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company.

Abstract Background: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

ABSTRACTObjectivesTo determine how self-reported level of exposure to patients with novel coronavirus 2019 (COVID-19) affected the perceived safety, training and well-being of residents and fellows.MethodsWe administered an anonymous, voluntary, web-based survey to a convenience sample of trainees worldwide. The survey was distributed by email and social media posts from April 20th to May 11th, 2020. Respondents were asked to estimate the number of patients with COVID-19 they cared for in March and April 2020 (0, 1–30, 31–60, >60). Survey questions addressed (1) safety and access to personal protective equipment (PPE), (2) training and professional development and (3) well-being and burnout.ResultsSurveys were completed by 1420 trainees (73% residents, 27% fellows), most commonly from the USA (n=670), China (n=150), Saudi Arabia (n=76) and Taiwan (n=75). Trainees who cared for a greater number of patients with COVID-19 were more likely to report limited access to PPE and COVID-19 testing and more likely to test positive for COVID-19. Compared with trainees who did not take care of patients with COVID-19 , those who took care of 1–30 patients (adjusted OR [AOR] 1.80, 95% CI 1.29 to 2.51), 31–60 patients (AOR 3.30, 95% CI 1.86 to 5.88) and >60 patients (AOR 4.03, 95% CI 2.12 to 7.63) were increasingly more likely to report burnout. Trainees were very concerned about the negative effects on training opportunities and professional development irrespective of the number of patients with COVID-19 they cared for.ConclusionExposure to patients with COVID-19 is significantly associated with higher burnout rates in physician trainees.

Abstract Complementing the genome with an understanding of the human exposome is an important challenge for contemporary science and technology. Tens of thousands of chemicals are used in commerce, yet cost for targeted environmental chemical analysis limits surveillance to a few hundred known hazards. To overcome limitations which prevent scaling to thousands of chemicals, we developed a single-step express liquid extraction (XLE), gas chromatography high-resolution mass spectrometry (GC-HRMS) analysis and computational pipeline to operationalize the human exposome. We show that the workflow supports quantification of environmental chemicals in small human plasma (200 µL) and tissue (≤ 100 mg) samples. The method also provides high resolution, sensitivity and selectivity for exposome epidemiology of mass spectral features without a priori knowledge of chemical identity. The simplicity of the method can facilitate harmonization of environmental biomonitoring between laboratories and enable population level human exposome research with limited sample volume.

Abstract Background: Androgen receptor (AR) amplification is a common genomic event in advanced prostate cancer, in particular, the metastatic castration-resistant prostate cancer (mCRPC) and is associated with poor treatment response and short overall survival (OS). Recent studies also show more frequent amplification at AR enhancer region in the mCRPC patients. The aim of this study is to evaluate clinical utility of multiplex digital PCR assay to detect amplification at AR locus in cell-free DNA (cfDNA) for prognostication of mCRPC. Methods: Plasma samples were collected from 108 patients with mCRPC before stage-specific treatment. The target regions were selected based on our previous sequencing data showing frequent amplification in mCRPC patients at AR loci, including AR enhancer, AR (AR exon 1 and exon 8) and OPHN1 (downstream of AR). Multiplex digital PCR assays to detect four targets were developed by adjusting the concentrations of primers and probes. The Kaplan-Meier (KM) estimate was used for OS analysis. Results: We first examined existing databases to determine relative stable genomic regions in prostate cancer. This analysis showed most stable regions in three gene loci including C2orf16 at 2p23.2, FAM111B at 11q12.1, and GRIA3 at Xq25, which were then used as reference controls for copy number normalization. We then designed two multiplex digital PCR assays to quantify copy number of selected targets. To separate two different targets with same fluorescence, we adjusted ratio of FAM-labeled probes with 1: 0.4 and HEX-labeled probes with 1:0.4. The ratio of FAM to HEX probes was 1:1.5 in final assays. The combination of four different targets in one reaction gave 9 possible clusters in the 2D amplitude space. We defined the amplification as the normalized ratio ≥ 1.8 between target and reference loci. By applying this cutoff in 108 mCRPC samples, we detected the amplification of AR-enhancer, AR and OPHN1 in 38, 34, and 25 samples, respectively. KM analysis showed the significant association of amplification in AR-enhancer (p=0.0053, HR=2.16[1.41-6.53]), AR (p=0.04, HR=1.74[1.04-4.03]) and OPHN1 (p=0.031, HR=1.91[1.07-5.53]) with OS. This result was consistent with whole genome sequencing data in the same group of patients. Conclusions: We established a highly sensitive multiplex digital PCR assay to detect copy number changes of AR, AR enhancer and OPHN1 in plasma cfDNA and demonstrated its potential clinical use as non-invasive testing tool for mCRPC prognosis. The easy-to-use and low-cost multiplex digital PCR assay covers multiple gene loci, which can aid in improving the sensitivity of detecting amplification at AR locus in the highly heterogeneous mCRPC patients. Citation Format: Meijun Du, Chiang-Ching Huang, Winston Tan, Manish Kohli, Liang Wang. Clinical utility of multiplex digital PCR to detect androgen receptor amplification in cell-free DNA for prognosis of metastatic castration-resistant prostate cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4319.

Abstract The use of clinical gene sequencing is now commonplace, and genome analysts and molecular pathologists are often tasked with the labor-intensive process of interpreting the clinical significance of large numbers of tumor variants. Numerous independent knowledgebases have been constructed to alleviate this manual burden, however these knowledgebases are non-interoperable. As a result, the analyst is left with a difficult tradeoff: for each knowledgebase used the analyst must understand the nuances particular to that resource and integrate its evidence accordingly when generating the clinical report, but for each knowledgebase omitted there is increased potential for missed findings of clinical significance.The Variant Interpretation for Cancer Consortium (VICC; cancervariants.org) was formed as a driver project of the Global Alliance for Genomics and Health (GA4GH; ga4gh.org) to address this concern. VICC members include representatives from several major somatic interpretation knowledgebases including CIViC, OncoKB, Jax-CKB, the Weill Cornell PMKB, the IRB-Barcelona Cancer Biomarkers Database, and others. Previously, the VICC built and reported on a harmonized meta-knowledgebase of 19,551 biomarker associations of harmonized variants, diseases, drugs, and evidence across the constituent resources.In that study, we analyzed the frequency with which the tumor samples from the AACR Project GENIE cohort would match to harmonized associations. Variant matches increased dramatically from 57% to 86% when broader matching to regions describing categorical variants were allowed. Unlike precise sequence variants with specified alternate alleles, categorical variants describe a collection of potential variants with a common feature, such as “V600” (non-valine alleles at the 600 residue), “Exon 20 mutations” (all non-silent mutations in exon 20), or “Gain-of-function” (hypermorphic alterations that activate or amplify gene activity). However, matching observed sequence variants to categorical variants is challenging, as the latter are typically only described as unstructured text. Here we describe the expressive and computational GA4GH Variation Representation specification (vr-spec.readthedocs.io), which we co-developed as members of the GA4GH Genomic Knowledge Standards work stream. This specification provides a schema for common, precise forms of variation (e.g. SNVs and Indels) and the method for computing identifiers from these objects. We highlight key aspects of the specification and our work to apply it to the characterization of categorical variation, showcasing the variant terminology and classification tools developed by the VICC to support this effort. These standards and tools are free, open-source, and extensible, overcoming barriers to standardized variant knowledge sharing and search. Citation Format: Alex H. Wagner, Reece K. Hart, Larry Babb, Robert R. Freimuth, Adam Coffman, Yonghao Liang, Beth Pitel, Angshumoy Roy, Matthew Brush, Jennifer Lee, Anna Lu, Thomas Coard, Shruti Rao, Deborah Ritter, Brian Walsh, Susan Mockus, Peter Horak, Ian King, Dmitriy Sonkin, Subha Madhavan, Gordana Raca, Debyani Chakravarty, Malachi Griffith, Obi L. Griffith. Harmonization standards from the Variant Interpretation for Cancer Consortium [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1096.

Abstract Background Hypothyroidism is known to be associated with adverse clinical outcomes in heart failure. The association between hypothyroidism and cardiac resynchronization therapy outcomes in patients with severe heart failure is not clear.Methods The study included 1,316 patients who received cardiac resynchronization therapy between 2002 and 2015. Baseline demographics and cardiac resynchronization therapy outcomes, including left ventricular ejection fraction, New York Heart Association class, appropriate implantable cardioverter-defibrillator therapy, and all-cause mortality, were collected from the electronic health record. Results Of the study cohort, 350 patients (26.6%) were classified as the hypothyroidism group. The median duration of follow-up was 3.6 years (interquartile range, 1.7-6.2). Hypothyroidism was not associated with a higher risk of all-cause mortality in patients receiving CRT for heart failure. The risk of appropriate implantable cardioverter-defibrillator therapy significantly increased in association with increased baseline thyroid-stimulating hormone level in the entire cohort (hazard ratio, 1.23 per 5mIU/L increase; 95% CI, 1.01-1.5; P=0.04) as well as in the hypothyroid group (hazard ratio, 1.44 per 5mIU/L increase; 95% CI, 1.13-1.84; P=0.004). Conclusions CRT improves cardiac function in hypothyroid patients. The ventricular arrhythmic events requiring ICD therapies are associated with baseline TSH level, which might be considered as an important biomarker to stratify the risk of sudden death for patients with heart failure and hypothyroidism.

Abstract Background Hypothyroidism is known to be associated with adverse clinical outcomes in heart failure. The association between hypothyroidism and cardiac resynchronization therapy outcomes in patients with severe heart failure is not clear. Methods The study included 1,316 patients who received cardiac resynchronization therapy between 2002 and 2015. Baseline demographics and cardiac resynchronization therapy outcomes, including left ventricular ejection fraction, New York Heart Association class, appropriate implantable cardioverter-defibrillator therapy, and all-cause mortality, were collected from the electronic health record. Results Of the study cohort, 350 patients (26.6%) were classified as the hypothyroidism group. The median duration of follow-up was 3.6 years (interquartile range, 1.7-6.2). Hypothyroidism was not associated with a higher risk of all-cause mortality in patients receiving CRT for heart failure. The risk of appropriate implantable cardioverter-defibrillator therapy significantly increased in association with increased baseline thyroid -stimulating hormone level in the entire cohort (hazard ratio, 1.23 per 5mIU/L increase; 95% CI, 1.01-1.5; P=0.04) as well as in the hypothyroid group (hazard ratio, 1.44 per 5mIU/L increase; 95% CI, 1.13-1.84; P=0.004). Conclusions CRT improves cardiac function in hypothyroid patients. The ventricular arrhythmic events requiring ICD therapies are associated with baseline TSH level, which might be considered as an important biomarker to stratify the risk of sudden death for patients with heart failure and hypothyroidism.