Citations

Abstract Background: We compared the predictive and prognostic value of ctDNA dynamics in high-risk hormone receptor-positive/HER2-negative (HR+/HER2-) and triple negative breast cancer (TNBC) receiving neoadjuvant chemotherapy (NAC) enrolled in the I-SPY 2 trial (NCT01042379). To our knowledge, this is the largest ctDNA study in breast cancer in the neoadjuvant setting. Methods: Blood samples were collected at pre-treatment (T0), during treatment (T1 at 3 weeks, and T2 at 12 weeks) and after NAC (T3 at 24 weeks) from 106 HR+/HER2- and 97 TNBC patients. Plasma samples (n=734) were analyzed using a personalized and tumor-informed mPCR NGS-based ctDNA test (SignateraTM). Patients, all high risk for recurrence by MammaPrint, received paclitaxel-based treatment +/- experimental therapy followed by anthracycline. The median follow-up was 3.0 years (0.5 to 6.5). The predictive and prognostic value of ctDNA dynamics and status at different timepoints were examined. Our analysis is exploratory and does not adjust for other biomarkers. Results: Pretreatment ctDNA positivity (Fisher p<0.0001) and levels (mean tumor molecules/mL, MTM/mL, t test p=0.0062) were significantly higher in TNBC (90.7%, 14.7 MTM/mL) than in high risk HR+/HER2- (66.0%, 5.5 MTM/mL). Early and late ctDNA clearance during treatment (3 and 12 weeks of NAC) was predictive of pathologic complete response (pCR) and residual cancer burden (RCB), class 0-III, in TNBC but not HR+/HER2- (Table). In both subtypes: (1) ctDNA was a significant negative prognostic factor for distant recurrence-free survival (DRFS) at all timepoints (p<0.05) except at pretreatment; (2) all patients who achieved pCR were ctDNA-negative after NAC; (3) among non-responding patients, ctDNA-negativity after NAC was associated with improved DRFS (Table). Conclusions: The predictive value of ctDNA for prediction of pCR and RCB differed between subtypes (HR+/HER2- vs. TNBC), while similar prognostic value was observed. In TNBC, early clearance of ctDNA at 3 weeks was a significant predictor of favorable response to NAC. Compared to patients who were ctDNA-positive after NAC, ctDNA-negative status in both subtypes was associated with improved DRFS even in patients with residual cancer (no pCR or RCB-II/III). These findings could inform on the design of future studies that seek to demonstrate the utility of ctDNA in the curative setting. Predictive and prognostic significance of ctDNA in early breast cancer in the neoadjuvant setting HR+HER2- (n=106) TNBC (n=97) Predictive value for prediction of pCR and RCB Fisher p-value Fisher p-value Early ctDNA clearance (between T0 and T1) and pCR 0.4521 <0.0001 Late ctDNA clearance (between T0 and T2) and pCR 0.8071 0.0004 Early ctDNA clearance (between T0 and T1) and RCB (0-III) 0.1360 <0.0001 Late ctDNA clearance (between T0 and T2) and RCB (0-III) 0.4869 0.0004 Early ctDNA clearance at T1 and pCR rates pCR rate pCR rate ctDNA clearance (ctDNA+ at T0/ctDNA- at T1) 21% 67% Late ctDNA clearance (betweeNo early clearance (ctDNA+ at T0/ctDNA+ at T1) 13% 14% Prognostic value for prediction of DRFS Log rank p-value Log rank p-value ctDNA at T3 and pCR vs no PCR 0.0002 <0.0001 ctDNA at T3 and RCB (0-I vs II-III) 0.0110 <0.0001 Timepoints: T0 - pretreatment; T1 - three weeks after treatment initiation; T2 - at 12 weeks, between paclitaxel-based and anthracycline regimens; T3- after neoadjuvant chemotherapy prior to surgery Citation Format: Mark Jesus Mendoza Magbanua, Lamorna Brown Swigart, Derrick Renner, Svetlana Shchegrova, Gillian L. Hirst, Christina Yau, Denise M. Wolf, Hsin-Ta Wu, Ekaterina Kalashnikova, Amy L. Delson, A. Jo Chien, Debu Tripathy, Smita Asare, Raheleh Salari, Angel Rodriguez, Bernhard Zimmermann, Himanshu Sethi, Alexey Aleshin, Paul Billings, Rita Nanda, Hope S. Rugo, Laura J. Esserman, Minetta C. Liu, Angela DeMichele, Laura van 't Veer. Comparison of the predictive and prognostic significance of circulating tumor DNA in patients with high risk HER2-negative breast cancer receiving neoadjuvant chemotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB111.

Abstract Glioblastoma (GBM) are inherently resistant to radiation therapy (RT), and development of radiosensitizers is one strategy to overcome this limitation. Repair of DNA double strand breaks induced by RT are mediated by the protein kinase Ataxia Telangiectasia mutated (ATM). In this study, the novel ATM inhibitor WSD-0628 was evaluated in combination with RT using GBM and melanoma models. In vitro evaluation of 10uM WSD-0628 binding to a panel of potential drug targets, including receptors, ion channels, enzymes, and transporters, indicated a satisfactory safety profile with low risk for off-target liability. WSD-0628 potently inhibits ATM-mediated phosphorylation of the DNA damage response protein KAP1 in MCF-7 cells at sub-nanomolar (nM) concentrations (IC50 0.42nM) in comparison to much less potent inhibition of the related kinases ATR (phosphorylation of CHK1, IC50 742nM) or DNA-PKcs (auto-phosphorylation of DNA-PK, IC50 169nM) in HT29 cells assessed by ELISA. In U251 GBM cells, 30 nM WSD-0628 potently inhibited RT-induced phospho-KAP1 and robustly reduced clonogenic survival by 5-fold when combined with 5 Gy irradiation (combination vs RT alone, p<0.01). Similar potent radiosensitizing effects were seen in a melanoma brain metastasis PDX line M12 (10nM WSD-0628+IR-5Gy 1% survival vs 5% survival with IR-5Gy alone. p<0.01), and the SV-40 transformed astrocyte line SVG-A (10nM WSD-0628 + IR-2.5Gy survival 0.2% vs 15% with IR-2.5Gy alone. p<0.01). Evaluation of the pharmacokinetic profile of WSD-0628 in mice 2h after a single 5 mg/kg oral dose reveals a high level of free drug availability in the brain (34nM) and in the CSF (50nM) with little to no Pgp/BCRP substrate liability. An initial in vivo dose finding study in orthotopic GBM43 PDX yielded significant benefit with WSD-0628 at either 5 or 10 mg/kg PO daily when combined with radiation (2Gy QD for 5 days); Median survival for sham RT (29d) or RT alone (34d) were significantly different from RT combinations with 5 mg/kg (54d) and 10 mg/kg (73d; p<0.01 for both dose levels), although the higher dose combination was poorly tolerated with body weight loss between 15-20% one week after RT completion. Dosing of WSD-0628 (7.5 mg/kg PO, QD) given just before and 24h after a single dose of RT (12.5Gy) in mice with orthotopic M12 was well tolerated and provided robust radiosensitizing effects with median survival for combination treatment of over 180d vs 17d for control and 49d with RT alone groups (combination vs RT alone, p=0.04). Collectively, these results suggest a promising role for WSD-0628 in combination with RT in GBM and melanoma metastatic to the brain. Citation Format: Ann Mladek Tuma, Wei Zhong, Lily Liu, Danielle M. Burgenske, Brett L. Carlson, Katrina K. Bakken, Zeng Hu, Margaret A. Connors, Jann N. Sarkaria. WSD-0628, a novel brain penetrant ATM inhibitor, radiosensitizes GBM and melanoma patient derived xenografts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3305.

Abstract Precision oncology is the practice of interpreting the clinical significance of observed molecular changes in patient neoplasms, potentially impacting medical decision making and care. This process is labor-intensive and (among other challenges) involves accurately translating between variation representation conventions from one resource to the next. For example, differences in representations of Copy Number Variation (CNV) from genomic regions, cytogenomic bands, or gene features create challenges in knowledge matching due to lack of standards covering all of these modalities of observed variation.The Global Alliance for Genomics and Health (GA4GH; ga4gh.org) is an international collaborative of genomic data sharing initiatives (Driver Projects) developing genomic data sharing standards within a human rights framework. GA4GH recently published the Variation Representation Specification (VRS; pronounced “verse”), a standard for the computational representation of biomolecular variation. VRS is a terminology, schema, and associated conventions for creating uniquely identifiable and federatable representations of molecular variation. VRS has formal data classes well-suited to differentiating between variation on a single molecule (e.g. tandem duplications) from variation measured at a systemic level (e.g. genome-wide copy number variation). In addition to molecular sequence variation, VRS also supports variation on cytogenetic coordinate systems and genes, making it well-suited to representing variation associated with cancer biomarkers.We demonstrate the use of VRS to model reported gene-associated CNVs from the AACR Project GENIE cohort, to aid in the computational discovery of evidence from clinico-genomic knowledgebases with genomic or cytogenomic CNV representations. We highlight the use case of knowledge matching to the Atlas of Genetics and Cytogenetics in Oncology and Haematology (“the Atlas”; atlasgeneticsoncology.org), a cytogenetics resource historically driven by user website navigation. Using VRS search tools we developed for the Variant Interpretation for Cancer Consortium (VICC; cancervariants.org) GA4GH Driver Project, we found that 64% of GENIE samples with reported CNVs matched clinically relevant knowledge in the Atlas. This work was enabled by programmatic search tools leveraging standard VRS object structures, demonstrating how VRS enables collection of real-world evidence across more resources without manual interpretation or custom normalization methods. We conclude with a survey of open-source tools supporting this analysis as well as search of other clinico-genomic knowledgebases with VRS, including CIViC (civicdb.org), BRCA Exchange (brcaexchange.org), and the Molecular Oncology Almanac (moalmanac.org). Citation Format: Matthew Cannon, Kori Kuzma, James Stevenson, Jiachen Liu, Colin O'Sullivan, Bimal P. Chaudhari, Matthew Brush, Robert R. Freimuth, Tristan Nelson, Michael Baudis, Obi L. Griffith, Malachi Griffith, Lawrence Babb, Melissa S. Cline, Xuelu Liu, Brian Walsh, Alex H. Wagner. Introduction of the GA4GH Variation Representation Specification (VRS) and supporting tools for discovery and exchange of clinical genomic and cytogenomic knowledge in cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1177.

Abstract B-cell chronic lymphocytic leukemia (B-CLL) is the most common leukemia in adults with CD19-targeting CAR T-cell therapy showing an excellent initial curative response. However, 10-20% of patients who receive anti-C19 CAR T-cell treatment experience relapse due to CD19 antigen loss. B-cell activating factor receptor (BAFF-R) that is expressed on the surface of normal and neoplastic B cells mediates the survival of mature peripheral B cells along with the B-cell receptor. Since B-CLL is characterized by apoptotic disruption and subsequent accumulation of mature B cells, BAFF-R is a logical, novel target for CAR T-cell therapy directed against B-CLL, especially if CD19 antigen loss occurs. In this study, we first manufactured BAFF-R CAR T-cells by infecting healthy donor Tnaïve/memory (Tn/mem) cells with BAFF-R CAR lentivirus before evaluating the antitumor activity of BAFF-R CAR T-cells on wild type MEC-1 (a B-CLL cell line), modified MEC-1, and primary cell lines. Antigen-specific cytotoxicity and activation of the BAFF-R CAR T-cells or control CD19 CAR T-cells were determined upon incubation with B-CLL cell lines and patient-derived primary B-CLL by measuring degranulation and IFN-γ release, respectively. BAFF-R CAR T-cells demonstrated substantial cytotoxicity against MEC-1, CD19-deficient MEC-1, and primary B-CLL cell lines; CD19 CAR T-cells showed no effect on CD19-deficient MEC-1 cells but did show effects with primary B-CLL and MEC-1 cells. Similarly, the release of IFN-γ was greater when BAFF-R CAR T-cells were co-cultured with CD19-deficient MEC-1 or primary B-CLL compared to CD19 CAR T-cells co-cultured with CD19-deficient MEC-1. In summary, BAFF-R CAR T-cells exert significant antitumor properties not only on patient-derived primary B-CLL cells but also on a CD19-deficient B-CLL cell line. We, therefore, assert BAFF-R-targeting CAR T-cells to be a novel therapeutic avenue for patients newly diagnosed with B-CLL and patients experiencing relapsed B-CLL after anti-CD19 therapy. Citation Format: Yan Luo, Kaihin Lui, Tommy T. To, Andrew liu, Farah Yassine, Mohamed A. Kharfan Dabaja, Martha E. Gadd, Hong Qin. Antitumor activity of BAFF-R targeting CAR T-cells on chronic lymphocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2855.

Abstract Seven different anti-PD-1 and PD-L1 monoclonal antibodies are now widely used in the US to treat a variety of cancer types, but there have been no clinical trials comparing them directly. Furthermore, because many of these antibodies do not cross react between mouse and human proteins, no preclinical models exist in which to consider these types of questions. Thus, we produced humanized PD-1 and PD-L1 mice in which the extracellular domains of both mouse PD-1 and PD-L1 were replaced with the corresponding human sequences. Using this new model, we sought to compare the strength of the immune response generated by FDA-approved antibodies. To do this, we performed an in vivo T cell priming assay in which anti-PD-1/L1 therapies were given at the time of T cell priming against surrogate tumor antigen (OVA), followed by subsequent B16-OVA tumor challenge. We found that anti-PD-1/L1-treated mice exhibited significantly better tumor rejection than controls, although both the control and antibody-treated mice generated comparable numbers of OVA-specific T cells at the time of priming. To determine what could mediate this strong antitumor immune response, we identified the increased production of CX3CR1+PD-1+CD8+ cytotoxic T cells in the anti-PD-1/L1-treated mice, the same subset of effector T cells known to increase in clinical responders to PD-1/L1 therapy. Thus, our model permits the direct comparison of FDA-approved anti-PD-1/L1 monoclonal antibodies and further correlates successful tumor rejection with the level of CX3CR1+PD-1+CD8 + T cells, making this model a critical tool for future studies to optimize and better utilize anti-PD-1/L1 therapeutics.

INTRODUCTION: To support shared decision-making (SDM) between patients and providers surrounding biologic treatments, we created IBD&me (ibdandme.org)—a freely available, unbranded, interactive decision aid. We performed a multicenter comparative effectiveness trial comparing the impact of IBD&me on SDM vs a biologics fact sheet developed by the Crohn's & Colitis Foundation. METHODS: We enrolled patients with inflammatory bowel disease (IBD) being seen at a clinic within IBD Qorus—a multicenter adult IBD learning health system—between March 5, 2019, and May 14, 2021. Eligible patients included those with recent IBD-related symptoms who reported that they wanted to discuss biologics with their provider during their upcoming visit. Patients were randomized 1:1 using stratified block randomization and received an e-mail 1 week before their visit inviting them to review either IBD&me or a fact sheet. The primary outcome was patient perception of SDM as measured by the 9-Item SDM Questionnaire (0–100 scale; higher = better); the Student t test was used to compare outcomes between arms. RESULTS: Overall, 152 patients were randomized (biologics fact sheet 75, IBD&me 77); most patients had Crohn's disease (66.4%) and were biologic-experienced (82.9%). No differences were seen between groups regarding SDM (fact sheet 72.6 ± 25.6, IBD&me 75.0 ± 20.8; P = .57). Most patients stated they would be likely to recommend the fact sheet (79.6%) or IBD&me (84.9%; P = .48) to another patient with IBD. DISCUSSION: No differences in outcomes were seen between IBD&me and the biologics fact sheet in this comparative effectiveness study; patients reported high satisfaction with both resources. Further study, particularly among biologic naïve patients, is needed to determine the utility of interactive components to IBD decision aids.

Radiotherapy (RT) of colorectal cancer (CRC) can prime adaptive immunity against tumor-associated antigen (TAA)–expressing CRC cells systemically. However, abscopal tumor remissions are extremely rare, and the postirradiation immune escape mechanisms in CRC remain elusive. Here, we found that irradiated CRC cells used ATR-mediated DNA repair signaling pathway to up-regulate both CD47 and PD-L1, which through engagement of SIRPα and PD-1, respectively, prevented phagocytosis by antigen-presenting cells and thereby limited TAA cross-presentation and innate immune activation. This postirradiation CD47 and PD-L1 up-regulation was observed across various human solid tumor cells. Concordantly, rectal cancer patients with poor responses to neoadjuvant RT exhibited significantly elevated postirradiation CD47 levels. The combination of RT, anti-SIRPα, and anti–PD-1 reversed adaptive immune resistance and drove efficient TAA cross-presentation, resulting in robust TAA-specific CD8 T cell priming, functional activation of T effectors, and increased T cell clonality and clonal diversity. We observed significantly higher complete response rates to RT/anti-SIRPα/anti–PD-1 in both irradiated and abscopal tumors and prolonged survival in three distinct murine CRC models, including a cecal orthotopic model. The efficacy of triple combination therapy was STING dependent as knockout animals lost most benefit of adding anti-SIRPα and anti–PD-1 to RT. Despite activation across the myeloid stroma, the enhanced dendritic cell function accounts for most improvements in CD8 T cell priming. These data suggest ATR-mediated CD47 and PD-L1 up-regulation as a key mechanism restraining radiation-induced immune priming. RT combined with SIRPα and PD-1 blockade promotes robust antitumor immune priming, leading to systemic tumor regressions.

After a 1-y absence due to the coronavirus disease 2019 pandemic, the 26th Annual Congress of the International Liver Transplantation Society was held from May 15 to 18, 2021, in a virtual format. Clinicians and researchers from all over the world came together to share their knowledge on all the aspects of liver transplantation (LT). Apart from a focus on LT in times of coronavirus disease 2019, featured topics of this year’s conference included infectious diseases in LT, living donation, machine perfusion, oncology, predictive scoring systems and updates in anesthesia/critical care, immunology, radiology, pathology, and pediatrics. This report presents highlights from invited lectures and a review of the select abstracts. The aim of this report, generated by the Vanguard Committee of International Liver Transplantation Society, is to provide a summary of the most recent developments in clinical practice and research in LT.

Background: The study of hypertrophic cardiomyopathy (HCM) can yield insight into the mechanisms underlying the complex trait of cardiac hypertrophy. To date, most genetic variants associated with HCM have been found in sarcomeric genes. Here, we describe a novel HCM-associated variant in the noncanonical Wnt signaling interactor WTIP (Wilms tumor interacting protein) and provide evidence of a role for WTIP in complex disease. Methods: In a family affected by HCM, we used exome sequencing and identity-by-descent analysis to identify a novel variant in WTIP (p.Y233F). We knocked down WTIP in isolated neonatal rat ventricular myocytes with lentivirally delivered short hairpin ribonucleic acids and in Danio rerio via morpholino injection. We performed weighted gene coexpression network analysis for WTIP in human cardiac tissue, as well as association analysis for WTIP variation and left ventricular hypertrophy. Finally, we generated induced pluripotent stem cell–derived cardiomyocytes from patient tissue, characterized size and calcium cycling, and determined the effect of verapamil treatment on calcium dynamics. Results: WTIP knockdown caused hypertrophy in neonatal rat ventricular myocytes and increased cardiac hypertrophy, peak calcium, and resting calcium in D rerio . Network analysis of human cardiac tissue indicated WTIP as a central coordinator of prohypertrophic networks, while common variation at the WTIP locus was associated with human left ventricular hypertrophy. Patient-derived WTIP p.Y233F-induced pluripotent stem cell–derived cardiomyocytes recapitulated cellular hypertrophy and increased resting calcium, which was ameliorated by verapamil. Conclusions: We demonstrate that a novel genetic variant found in a family with HCM disrupts binding to a known Wnt signaling protein, misregulating cardiomyocyte calcium dynamics. Further, in orthogonal model systems, we show that expression of the gene WTIP is important in complex cardiac hypertrophy phenotypes. These findings, derived from the observation of a rare Mendelian disease variant, uncover a novel disease mechanism with implications across diverse forms of cardiac hypertrophy.

Precision oncology is expected to improve selection of targeted therapies, tailored to individual patients and ultimately improve cancer patients’ outcomes. Several cancer genetics knowledge databases have been successfully developed for such purposes, including CIViC and OncoKB, with active community-based curations and scoring of genetic-treatment evidences. Although many studies were conducted based on each knowledge base respectively, the integrative analysis across both knowledge bases remains largely unexplored. Thus, there exists an urgent need for a heterogeneous precision oncology knowledge resource with computational power to support drug repurposing discovery in a timely manner, especially for life-threatening cancer. In this pilot study, we built a heterogeneous precision oncology knowledge resource (POKR) by integrating CIViC and OncoKB, in order to incorporate unique information contained in each knowledge base and make associations amongst biomedical entities (e.g., gene, drug, disease) computable and measurable via training POKR graph embeddings. All the relevant codes, database dump files, and pre-trained POKR embeddings can be accessed through the following URL: https://github.com/shenfc/POKR.