Citations

Abstract Wnt signaling is a major driver of stemness and chemoresistance in ovarian cancer, yet the genetic drivers that stimulate its expression remain largely unknown. Unlike other cancers, mutations in the Wnt pathway are not reported in high-grade serous ovarian cancer (HGSOC). Hence, a key challenge that must be addressed to develop effective targeted therapies is to identify nonmutational drivers of Wnt activation. Using an miRNA sensor-based approach, we have identified miR-181a as a novel driver of Wnt/β-catenin signaling. miR-181ahigh primary HGSOC cells exhibited increased Wnt/β-catenin signaling, which was associated with increased stem-cell frequency and platinum resistance. Consistent with these findings, inhibition of β-catenin decreased stem-like properties in miR-181ahigh cell populations and downregulated miR-181a. The Wnt inhibitor SFRP4 was identified as a novel target of miR-181a. Overall, our results demonstrate that miR-181a is a nonmutational activator of Wnt signaling that drives stemness and chemoresistance in HGSOC, suggesting that the miR–181a–SFRP4 axis can be evaluated as a novel biomarker for β-catenin–targeted therapy in this disease. Significance: These results demonstrate that miR-181a is an activator of Wnt signaling that drives stemness and chemoresistance in HGSOC and may be targeted therapeutically in recurrent disease.

Introduction: Interleukin-1 receptor-associated kinase 4 (IRAK4) is essential for toll-like receptor (TLR) and interleukin-1 receptor (IL-1R) signaling in immune cells including B lymphocytes. It forms the Myddosome complex with the MYD88 adaptor protein, with IRAK4 being essential for downstream signaling, maximal activation of NFkB with inflammatory and immune response and tumor promotion [Treon 2012; Rhyasen 2015]. CA-4948 is a novel small molecule, oral inhibitor of IRAK4, first-in-class and only suppressor of the TLR pathway currently tested in hematological malignancies. When combined with the BTK inhibitor ibrutinib that blocks parallel BCR signaling and NF-kB activating pathway, it has shown synergy in in-vivo B-cell NHL models, providing strong rationale for clinical evaluation [Booher 2018]. Recent preclinical studies demonstrated the role of IRAK4 activation as a driver of secondary, adaptive tumor resistance and survival mechanisms of hematological and solid tumor malignancies [Melgar 2019] that could be blocked by CA-4948 to delay or reverse resistance. Study Design and Methods: This is a multicenter, open-label trial of oral CA-4948 combined with ibrutinib in adult patients with relapsed or refractory hematologic malignancies. (NCT03328078). It has 2 parts: a dose escalation (Part A2), and expansion basket of 4 cohorts (Part B). Part A2: Is a truncated 3+3 design: CA-4948 starting is 200 mg BID with subsequent escalation to 300 mg BID. Both dose are safe and active against NHL as seen in the nearly completed monotherapy Part A1 of this trial Patients will receive CA-4948 with ibrutinib at the labeled dose for the respective NHL subtype (560 mg or 420 mg) until toxicity or progression. Primary objectives are safety/tolerance (MTD, RP2D); 2nd objectives are pharmacokinetics and preliminary efficacy; exploratory objectives include biomarker correlations (e.g., MYD88-L265P mut, IRAK4 pathway, NFκB inhibition). Part B basket has four cohorts: 1 -MZL, 2 - ABC-DLBCL, 3 - PCNSL, and 4 - NHL with adaptive ibrutinib resistance. Cohorts 1-3 must be BTK-inhibitor naïve. Cohort 4 includes ibrutinib treated NHLs after developing adaptive, secondary resistance. All will receive the combination of ibrutinib and CA-4948. Cohort 4 patients will be allowed a <3 weeks gap since prior ibrutinib therapy. Primary objectives include CR or ORR and DOR compared to (matched) historical controls (closely matched if possible). 2nd objectives include tolerance/safety, PFS, and pop-PK sampling for CA-4948. Exploratory objectives; response correlation with biomarkers including MYD88-L265P or other genetic mutations, gene expressions, cell of origin, IRAK4 signaling, and resistance. Treatment: CA-4948 at RP2D+ibrubinib at labelled doses; 21-day cycles to be repeated in the absence of toxicity or progression. Samples sizes, statistical considerations: Approx. 18 patients in Part A2. In Part B, a Simon 2-Step design will be applied to each cohort. Early stopping rule for futility after approx. 20 patients in Stage 1: full accrual with Stage 2 will add about 25 patients. Successful signal efficacy identification in a cohort may support further expansion or a subsequent controlled trial. The safety population will include all patients in the study who received any test dose. The efficacy population will have a valid baseline and post-baseline disease assessment. Safety assessments include TEAEs, safety labs, vitals, physical exams, PK, and ECGs; efficacy assessments: tumor imaging, para-protein determination, and histo/cyto-morphologic examinations. Part A2 inclusion: Histopathologically confirmed B-cell NHL as per the WHO 2016 classification. Eligible NHL subtypes: FL, MZL, MCL, DLBCL (including extranodal lymphomas of leg, testicle, or other sites, excluding mediastinal lymphoma), CLL/SLL, primary or secondary CNS lymphoma, and WM/LPL. Patients with FL, MCL, MZL, WM/LPL, or CLL/SLL should meet clinical treatment criteria. Part B inclusion: Cohorts 1-3 include patients with MZL, ABC-DLBCL, or PCNSL who are BTK-inhibitor naïve. Cohort 4 will include ibrutinib pre-treated MCL, MZL, CLL/SLL, WM/LPL, ABC-DLBCL, or PCNSL with adaptive resistance. Exclusions for both Parts A2 and B: Significant acute or chronic toxicity from prior anti-cancer therapy that has not resolved to Grade ≤ 1, as determined by NCI CTCAE v 4.03 within 7 days prior to start of study or serious co-morbidities. Disclosures Nowakowski: NanoString: Research Funding; Seattle Genetics: Consultancy; Curis: Consultancy; Kymera: Consultancy; Kite: Consultancy; Celgene/BMS: Consultancy, Research Funding; MorphoSys: Consultancy, Research Funding; Ryvu: Consultancy, Membership on an entity's Board of Directors or advisory committees. Leslie:TG Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Speakers Bureau; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; KitePharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BeiGene: Speakers Bureau; Pharmacyclics/Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Epizyme: Speakers Bureau; Karyopharm: Speakers Bureau; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees. Joffe:AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Epizyme: Membership on an entity's Board of Directors or advisory committees. Lunning:Kite: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; TG Therapeutics: Research Funding; Verastem: Consultancy, Honoraria; Acrotech: Consultancy; ADC Therapeutics: Consultancy; Legend: Consultancy; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Curis: Research Funding; Gilead: Consultancy, Honoraria; Beigene: Consultancy, Honoraria; Aeratech: Consultancy, Honoraria; Bristol Meyers Squibb: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria. Patel:Adaptive Biotechnologies: Consultancy; Kite: Consultancy; BeiGene: Consultancy; AstraZeneca: Consultancy, Research Funding, Speakers Bureau; Pharmacyclics: Consultancy, Speakers Bureau; Celgene/BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau. Landsburg:Takeda: Research Funding; Triphase: Research Funding; Seattle Genetics: Speakers Bureau; Morphosys: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Curis: 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. Fenske:Medical College of Wisconsin: Current Employment. Ramchandren:Merck, Seattle Genetics, Janssen, Genentech: Research Funding; Seattle Genetics, Sandoz-Novartis, Pharmacyclics, an AbbVie Company, Janssen, Bristol-Myers Squibb: Consultancy. Skarbnik:Alexion: Consultancy; Beigene: Speakers Bureau; Verastem: Speakers Bureau; CLL Society: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Tun:Bristol-Myers Squibb: Research Funding; Celgene: Research Funding; Mundipharma: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding; Acrotech: Research Funding; DTRM Biopharma: Research Funding.

Background: Autologous T cells engineered to express a chimeric antigen receptor (CAR) targeting the B-cell lineage antigen CD19 (CAR19) in patients with relapsed/refractory (r/r) aggressive B-cell lymphomas (BCL) and pre-B acute lymphoblastic leukemia (B-ALL) have resulted in transformative improvements in clinical outcomes. However, there remain significant limitations concerning autologous CAR19 T cell manufacturing, including dysfunctional starting material, lack of product consistency and purity following genetic engineering, manufacturing timelines that necessitate the administration of bridging therapy in patients with aggressive disease, and insufficient quantities of CAR19 T cells, especially in severely cytopenic patients, to allow for more than single-dose administration routinely. The ability to consistently administer more than a single dose of CAR19 T cells enables dosing schedules that may reduce the risk of potentially life-threatening toxicities such as cytokine release syndrome and neurotoxicity, while maintaining or improving the depth and durability of anti-tumor responses. FT819 is a first-of-kind, off-the-shelf CAR19 T cell product candidate derived from a clonal master engineered induced pluripotent stem cell (iPSC) line, which can be used as a renewable source for the mass production of off-the-shelf CAR T cells for broad patient access. FT819 is engineered with the following features designed to improve the safety and efficacy of CAR T cell therapy: a novel 1XX CAR signaling domain, which has been shown to extend T cell effector function without eliciting exhaustion; integration of the CAR transgene directly into the T cell receptor alpha constant (TRAC) locus, which has been shown to promote uniform CAR expression and enhanced T cell potency; and complete bi-allelic disruption of T cell receptor (TCR) expression for the prevention of graft-versus-host disease (GVHD). FT819 has demonstrated antigen-specific cytolytic activity in vitro against CD19-expressing leukemia and lymphoma cell lines comparable to that of donor-derived CAR T cells, and persists and maintains tumor clearance in the bone marrow in an in vivo disseminated xenograft model of lymphoblastic leukemia (Mandal et al. 2020). The properties of FT819 and its ability to improve outcomes of patients with B-cell malignancies warrants further clinical investigation. Study Design and Methods: This study is a multicenter, Phase I clinical trial of FT819 in patients with r/r B-cell malignancies, including BCL, chronic lymphocytic leukemia (CLL), and B-ALL. The primary objective of the trial is to determine the recommended Phase II dose of FT819. Key secondary objectives include evaluation of FT819 safety and tolerability, anti-tumor activity, and pharmacokinetics (PK). Exploratory objectives include characterization of FT819 pharmacodynamics as assessed by peripheral blood biomarkers, and by phenotypic and genetic characterization of the tumor microenvironment from paired pre- and post-treatment tumor biopsies. The dose-escalation part of the trial utilizes a 3+3 dose-escalation design to identify the maximum tolerated dose for BCL, CLL, and B-ALL. The dose-expansion part of the trial is designed to further characterize the safety, efficacy, and PK of FT819 in multiple indications. Up to a maximum of 300 patients will be enrolled. The trial will test up to four FT819 dose levels ranging from 30 to 900 million cells. Three FT819 dosing regimens each will be tested for BCL, CLL, and B-ALL: Regimen A, FT819 administered as a single dose; Regimen A1, FT819 administered as a single dose in combination with interleukin (IL)-2; and Regimen B, FT819 administered as fractionated doses on Days 1, 3, and 5. Lympho-conditioning will consist of three consecutive days of fludarabine and cyclophosphamide administered prior to the first dose of FT819. Key inclusion criteria include r/r disease after standard approved therapies, documented CD19 expression, and adequate organ function. Key exclusion criteria include ongoing immunosuppression such as systemic GVHD therapy, prior allograft organ transplant, active central nervous system involvement of disease, and known allergy to FT819 components. The trial is expected to begin patient recruitment in 2020. Disclosures Park: Novartis: Consultancy; Fate Therapeutics: Research Funding; Amgen: Consultancy, Research Funding; Genentech/Roche: Research Funding; Kite: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; GSK: Consultancy; Autolus: Consultancy, Research Funding; Intellia: Consultancy; Minverva: Consultancy; Takeda: Consultancy, Research Funding; AstraZeneca: Consultancy; Servier: Consultancy, Research Funding; Allogene: Consultancy; Juno Therapeutics: Research Funding; Artiva: Membership on an entity's Board of Directors or advisory committees. Jain:Pfizer: Research Funding; ADC Therapeutics: Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; TG Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Aprea Therapeutics: Research Funding; BeiGene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Precision Bioscienes: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Fate Therapeutics: Research Funding; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Cellectis: Research Funding; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. McGuirk:Bellicum Pharmaceutical: Research Funding; Gamida Cell: Research Funding; Astellas: Research Funding; Pluristem Ltd: Research Funding; Novartis: Research Funding; Juno Therapeutics: Consultancy, Honoraria, Research Funding; Kite Pharmaceuticals: Consultancy, Honoraria, Research Funding, Speakers Bureau; Fresenius Biotech: Research Funding; Allo Vir: Consultancy, Honoraria, Research Funding. Diaz:Fate Therapeutics, Inc.: Current Employment. Valamehr:Fate Therapeutics, Inc: Current Employment, Current equity holder in publicly-traded company. Chu:Fate Therapeutics, Inc.: Current Employment, Current equity holder in publicly-traded company; Roche Holding AG: Current equity holder in publicly-traded company. Castro:Kite Pharma: Research Funding; Pharmacyclics: Research Funding; Fate Therapeutics: Research Funding. OffLabel Disclosure: Cyclophosphamide and fludarabine will be used as lympho-conditioning therapy prior to FT819 administration. IL-2 will be administered in order to promote the expansion and function of FT819 as a T-cell product.

Background: Heart rate–corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome, and/or systemic diseases including SARS-CoV-2–mediated coronavirus disease 2019 (COVID-19), can predispose to ventricular arrhythmias and sudden cardiac death. Currently, QTc assessment and monitoring relies largely on 12-lead electrocardiography. As such, we sought to train and validate an artificial intelligence (AI)–enabled 12-lead ECG algorithm to determine the QTc, and then prospectively test this algorithm on tracings acquired from a mobile ECG (mECG) device in a population enriched for repolarization abnormalities. Methods: Using >1.6 million 12-lead ECGs from 538 200 patients, a deep neural network (DNN) was derived (patients for training, n = 250 767; patients for testing, n = 107 920) and validated (n = 179 513 patients) to predict the QTc using cardiologist-overread QTc values as the “gold standard”. The ability of this DNN to detect clinically-relevant QTc prolongation (eg, QTc ≥500 ms) was then tested prospectively on 686 patients with genetic heart disease (50% with long QT syndrome) with QTc values obtained from both a 12-lead ECG and a prototype mECG device equivalent to the commercially-available AliveCor KardiaMobile 6L. Results: In the validation sample, strong agreement was observed between human over-read and DNN-predicted QTc values (−1.76±23.14 ms). Similarly, within the prospective, genetic heart disease–enriched dataset, the difference between DNN-predicted QTc values derived from mECG tracings and those annotated from 12-lead ECGs by a QT expert (−0.45±24.73 ms) and a commercial core ECG laboratory [10.52±25.64 ms] was nominal. When applied to mECG tracings, the DNN’s ability to detect a QTc value ≥500 ms yielded an area under the curve, sensitivity, and specificity of 0.97, 80.0%, and 94.4%, respectively. Conclusions: Using smartphone-enabled electrodes, an AI DNN can predict accurately the QTc of a standard 12-lead ECG. QTc estimation from an AI-enabled mECG device may provide a cost-effective means of screening for both acquired and congenital long QT syndrome in a variety of clinical settings where standard 12-lead electrocardiography is not accessible or cost-effective.

TPS258 Background: Engineered toxin bodies (ETBs) are comprised of a proprietarily engineered form of Shiga-like Toxin A subunit genetically fused to antibody-like binding domains. ETBs work through novel mechanisms of action & are capable of forcing internalization, self-routing through intracellular compartments to the cytosol & inducing potent cell-kill via the enzymatic & permanent inactivation of ribosomes. MT-5111 is a de-immunized ETB targeting HER2+ solid tumors. Its novel mechanism of action, via enzymatic ribosome inactivation, may not be subject to resistance mechanisms that exist for tyrosine kinase inhibitors, antibody-drug conjugates, or antibody modalities. MT-5111 binds an epitope on HER2, distinct from trastuzumab or pertuzumab, that may provide for combination potential with other HER2-targeting agents. MT-5111 is a 55 kilodalton protein & may have improved tumor penetration capability. The objective of this trial will be to determine the safety, tolerability, & maximum tolerated dose (MTD) of MT-5111 in patients (pts) with advanced HER2+ solid tumors. Methods: This Phase 1, first-in-human, open-label, dose escalation & expansion study will evaluate MT-5111 monotherapy in pts with HER2-positive solid tumors. The primary objective is to determine the MTD; secondary objectives include pharmacokinetics, tumor response & immunogenicity. Part 1 consists of MT-5111 dose escalation (0.5, 1.0, 2.0, 3.0, 4.5, 6.75, 10µg/kg/dose) based on a modified 3+3 design (n≤42 pts); Part 2 (dose expansion) will evaluate MT-5111 at the MTD in ≤98 pts. All pts will be administered MT-5111 over 30 min via IV infusion on Days 1, 8, & 15 of each 21-day cycle until disease progression, unacceptable toxicity, death, withdrawal of consent, or another reason for withdrawal. Part 1 will include pts with any HER2+ solid cancers. Part 2 will enroll 3 expansion cohorts: HER2+ breast (BC), HER2+ gastric or gastroesophageal junction adenocarcinomas (collectively referred as gastroesophageal adenocarcinomas [GEA]) & other HER2+ solid cancers. Immunohistochemistry (IHC) status must be 2+ or 3+, regardless of in situ hybridization (ISH) results; if no IHC is available for pts with BC or GEA, ISH criteria per the American Society of Clinical Oncology College of American Pathologists guidelines will be used. In metastatic cases, HER2 positivity must be demonstrated on metastatic lesions. Pts with HER2+ BC should have had ≥2 lines of HER2-directed therapy; pts with HER2+ GEA should have received or been intolerant to trastuzumab. Pts with evaluable disease may be included in Part 1; in Part 2, all pts must have ≥1 measurable lesion per Response Evaluation Criteria in Solid Tumors v1.1. Further details can be found on clinicaltrials.gov (NCT04029922). Enrollment, which began in September 2019, is ongoing. Clinical trial information: NCT04029922.

343 Background: Alliance/CALGB 80802, a randomized phase III trial, evaluated sorafenib plus doxorubicin vs. doxorubicin in pts with HCC and showed no improvement in median overall survival (OS) (HR[95CI] 1.05[0.83-1.31]) or PFS (HR[95CI] 0.93[0.75-1.16]). In HCC surrogacy of tumor response with OS remains controversial, in part due to varying criteria used for response evaluation (e.g., RECIST1.1 and mRECIST). We evaluated the performance of several models to predict OS using pretreatment clinical and radiomic variables. Methods: In CALBG 80802, we segmented all measurable tumor lesions on sequential CT scans. A lesion’s imaging phenotype was deciphered with 23 uncorrelated quantitative imaging features measured at baseline and week (wk) 10 (first follow-up). An OS landmark survival analysis was conducted at wk 10. Patients were randomly assigned (3:1) to training (n = 92) and validation (n = 37) sets. In a training set, 6 random forest predictive models (6 signatures) used features that best predicted OS using 3 sets of variables: radiomics only (n = 23), clinical only (n = 9), radiomics and clinical (n = 32). Two time points (baseline only or baseline + wk 10) were assessed. Each signature's output was an individualized prediction and a continuous value ranging from 0 to 1 (from most to least favorable predicted OS). The primary endpoint was to compare these models' performance to predict OS using error rate (Harrell's concordance-index) in the validation set. Results: Of the 6 training signatures evaluated, the one achieving the highest performance in the validation set was an 8-feature signature combining radiomics and clinical variables measured at two time points (baseline + wk 10) with an error rate of 35.6%. The variables [rank of importance] (table) selected by the signature included baseline clinical features (albumin[1], AFP[2], Child-Pugh[4]), baseline radiomics features (component 17[3], component 1[5], component 9[7], tumor volume[8]) and wk 10 radiomics features (delta tumor volume[6]). Variable delta tumor volume [6] used a more enhanced estimation of tumor burden at baseline and a delta tumor volumetric measurement; compared to RECIST1.1 measurement of percentage change in unidimensional measurement of a subset of target lesions. The four quartiles of the signature were significantly associated with OS (Log-Rank, P < 0.0001). Conclusions: The selected combined radiomic and clinical composite signature provided the best prediction for OS in the 80802 study patients’ population. It is a suggested way forward to go beyond single anatomic measurement techniques such as RECIST or mRECIST. [Table: see text]

325 Background: Alliance/CALGB 80802 randomized phase III trial evaluated DO+S vs. S in pts with aHCC, and showed no improvement in median OS. Multi-drug resistant pathway mitigation by the Ras/Raf/MEK/ERK pathway and bFGF-mediated activation of Raf-1 promotes the formation of antiapoptotic Raf-1 and ASK1 complex, induced by anthracyclines. S efficiently blocks NS5A-recruited c-Raf mediated HCV replication and viral gene expression. Once inhibited by S, VEGF expression of HepG2 may limit HCV cellular entry. Release of Raf-1-Ask-1 dimer and inhibition of Raf-1 via S putatively differ in the presence or absence of DO. We hypothesize treatment with S reduces HCV titer levels (TL) and influence pts’ outcome. Methods: In 80802 HCV pts, TL were evaluated in both arms at baseline and post-baseline at Day 1 of Cycles 2, 3, and every 2 cycles and at progression or discontinuation of therapy. HCV undetectable (HCV-UN) levels were defined as < 50 copies/mL. TL were evaluated in relation to OS and PFS. HCV RNA levels were measured by TaqMan PCR and by genotype. Results: Of 356 pts, 83 were HCV+ with more Black/African American (25/50 = 50%) vs. White (54/239 = 23%) or other race groups (4/67 = 6%) (p < 0.0001). HCV titer data were available on 54 pts (S: 28, DO+S: 26). At baseline, 12 pts (S: 7, DO+S: 5) were HCV-UN, and post-baseline HCV TL did not significantly differ between treatment arms; one patient in each arm went from detectable (HCV-D) to HCV-UN. Post-baseline, 40 pts were HCV-D vs. 14 who were HCV-UN (S+DO: 8, S: 6 pts). Except for the two pts who became HCV-UN, baseline HCV-D vs. HCV-UN titers was similar to that status post-baseline. PFS and OS between HCV-D and HCV-UN both at baseline and post-baseline are delineated in the table. Conclusions: We observed that S did not influence HCV TL. Pts treated with DO+S vs. S had worse PFS if they had HCV-UN, and further that higher levels of HCV titers at baseline were associated with significantly improved PFS. Given the small sample size, these findings warrant further prospective evaluation. Support: U10CA180821, U10CA180882, U24CA196171; Bayer, Bristol-Myers-Squibb, and Sanofi. https://acknowledgments.alliancefound.org . Clinical trial information: NCT01015833. [Table: see text]