Citations

Purpose: To evaluate the accuracy of deep-learning-based auto-segmentation of the superior constrictor, middle constrictor, inferior constrictor, and larynx in comparison with a traditional multi-atlas-based method. Methods and Materials: One hundred and five computed tomography image datasets from 83 head and neck cancer patients were retrospectively collected and the superior constrictor, middle constrictor, inferior constrictor, and larynx were analyzed for deep-learning versus multi-atlas-based segmentation. Eighty-three computed tomography images (40 diagnostic computed tomography and 43 planning computed tomography) were used for training the convolutional neural network, and for atlas-based model training. The remaining 22 computed tomography datasets were used for validation of the atlas-based auto-segmentation versus deep-learning-based auto-segmentation contours, both of which were compared with the corresponding manual contours. Quantitative measures included Dice similarity coefficient, recall, precision, Hausdorff distance, 95th percentile of Hausdorff distance, and mean surface distance. Dosimetric differences between the auto-generated contours and manual contours were evaluated. Subjective evaluation was obtained from 3 clinical observers to blindly score the autosegmented structures based on the percentage of slices that require manual modification. Results: The deep-learning-based auto-segmentation versus atlas-based auto-segmentation results were compared for the superior constrictor, middle constrictor, inferior constrictor, and larynx. The mean Dice similarity coefficient values for the 4 structures were 0.67, 0.60, 0.65, and 0.84 for deep-learning-based auto-segmentation, whereas atlas-based auto-segmentation has Dice similarity coefficient results at 0.45, 0.36, 0.50, and 0.70, respectively. The mean 95th percentile of Hausdorff distance (cm) for the 4 structures were 0.41, 0.57, 0.59, and 0.54 for deep-learning-based auto-segmentation, but 0.78, 0.95, 0.96, and 1.23 for atlas-based auto-segmentation results, respectively. Similar mean dose differences were obtained from the 2 sets of autosegmented contours compared to manual contours. The dose–volume discrepancies and the average modification rates were higher with the atlas-based auto-segmentation contours. Conclusion: Swallowing-related structures are more accurately generated with DL-based versus atlas-based segmentation when compared with manual contours.

Background and Aims: A better understanding of the underlying mechanism of acetaminophen (APAP)‐induced liver injury (AILI) remains an important endeavor to develop therapeutic approaches. Eosinophils have been detected in liver biopsies of patients with APAP overdose. We recently demonstrated a profound protective role of eosinophils against AILI; however, the molecular mechanism had not been elucidated. Approach and Results: In agreement with our previous data from experiments using genetic deletion of eosinophils, we found that depletion of eosinophils in wild‐type (WT) mice by an anti‐IL‐15 antibody resulted in exacerbated AILI. Moreover, adoptive transfer of eosinophils significantly reduced liver injury and mortality rate in WT mice. Mechanistic studies using eosinophil‐specific IL‐4/IL‐13 knockout mice demonstrated that these cytokines, through inhibiting interferon‐γ, mediated the hepatoprotective function of eosinophils. Reverse phase protein array analyses and in vitro experiments using various inhibitors demonstrated that IL‐33 stimulation of eosinophils activated p38 mitogen‐activated protein kinase (MAPK), and in turn, cyclooxygenases (COX), which triggered NF‐κB–mediated IL‐4/IL‐13 production. In vivo adoptive transfer experiments showed that in contrast to naive eosinophils, those pretreated with COX inhibitors failed to attenuate AILI. Conclusions: The current study revealed that eosinophil‐derived IL‐4/IL‐13 accounted for the hepatoprotective effect of eosinophils during AILI. The data demonstrated that the p38 MAPK/COX/NF‐κB signaling cascade played a critical role in inducing IL‐4/IL‐13 production by eosinophils in response to IL‐33.

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.

Reproducibility is an important quality criterion for the secondary use of electronic health records (EHRs). However, multiple barriers to reproducibility are embedded in the heterogeneous EHR environment. These barriers include complex processes for collecting and organizing EHR data and dynamic multi-level interactions occurring during information use (e.g., inter-personal, inter-system, and cross-institutional). To ensure reproducible use of EHRs, we investigated four information quality dimensions and examine the implications for reproducibility based on a real-world EHR study. Four types of IQ measurements suggested that barriers to reproducibility occurred for all stages of secondary use of EHR data. We discussed our recommendations and emphasized the importance of promoting transparent, high-throughput, and accessible data infrastructures and implementation best practices (e.g., data quality assessment, reporting standard).

TPS5107 Background: Despite a growing number of treatment options for first line mCRPC, approximately 40% of patients (pts) have radiographic progression within the first year. Androgen receptor (AR) signaling inhibition increases genomic instability with double-strand DNA breaks & co-inhibition of AR & PARP induces synthetic lethality in multiple preclinical models. Homologous recombination repair (HRR) gene aberrations do not appear to be necessary for this synergy as demonstrated in a ph 3 clinical trial of abiraterone & olaparib where this combination improved radiographic progression-free survival (rPFS) in HRR-wild-type pts compared with abiraterone alone. A ph 1b trial has since shown that enzalutamide plus rucaparib has acceptable safety profile & no significant drug-drug interactions (S-DDI). Methods: CASPAR/A031902 (NCT04455750) is a ph 3 study in which 984 pts will be randomized 1:1 to enzalutamide plus rucaparib or placebo. HRR gene aberration is not required for enrollment. All pts will undergo next-generation targeted-exome sequencing from archival tumor tissue (new biopsy only required if no archival tissue available). Treatment will be continued until disease progression & crossover is not allowed. Key eligibility criteria are age ≥ 18 years, ECOG PS 0-2, biopsy-proven prostate adenocarcinoma, progressive (PSA or radiographic) disease per Prostate Cancer Working Group 3 guidelines, measurable or nonmeasurable disease per RECIST 1.1, no prior treatment for mCRPC (prior docetaxel, abiraterone, darolutamide, or apalutamide in non-mCRPC setting is allowed), no significant uncontrolled comorbidity, & no medications with S-DDI with enzalutamide/rucaparib. Hierarchical co-primary endpoints are rPFS & overall survival (OS). The OS analysis will be undertaken as a primary endpoint if the rPFS endpoint is met. For a one-sided logrank test with a type 1 error rate equal to 0.025, the study has 90% power to detect a hazard ratio (HR) of 0.71 in rPFS (median rPFS of 15 & 21 months in control & combination arms, respectively) & 80% power to detect an HR of 0.80 in OS (median OS of 32 & 40 months, respectively). Key secondary endpoints are rPFS & OS in pts with vs without pathogenic BRCA1, BRCA2, or PALB2 alterations; & differences in adverse events & quality of life (QOL) outcomes between the treatment arms. QOL assessments include Functional Assessment of Cancer Therapy–Prostate (FACT-P), Brief Pain Inventory Short Form (BPI-SF) & EQ-5D-5L. A key correlative endpoint is the sensitivity of ctDNA-based testing for alterations in HRR genes. Enrollment to CASPAR began in July 2021 & the study is available for participation to all US-NCTN sites with a projected enrollment of 3 years. Support: U10CA180821, U10CA180882, U24CA196171; U10CA180888. Clinical trial information: NCT04455750.

TPS4170 Background: IMbrave150 is the first study demonstrating the benefit of anti-PDL1 in the frontline treatment of aHCC, and established Atezo/Bev as a new 1st line standard for aHCC. There is currently limited evidence to guide subsequent therapy for aHCC patients progressing on Atezo/Bev. ACCRU-GI-2008 is designed to determine the benefit of continuing Atezo into 2nd line and the safety of Atezo plus a MKI in patients with aHCC who previously received Atezo/Bev. The study is being conducted across 12 centers in the United States (ClincalTrials.gov#: NCT05168163). Methods: This study utilizes a 2:1 randomized phase II design where eligible patients will receive either Atezo/MKI (experimental arm) or MKI alone (control). Patients will be stratified according to the MKI choice (cabozantinib or lenvatinib, per physician’s decision), etiology of HCC (viral vs. non-viral) and alpha-fetoprotein level ( < 400 vs. > = 400 ng/mL). The major eligibility criteria are histological/cytological diagnosis or clinical diagnosis of HCC per the AASLD or WASL 2018 guidelines, has advanced disease not amendable to curative treatment, previously received and progressed on Atezo/Bev, has received only 1 previous line of systemic therapy (2nd line only), ECOG PS 0-1, Child Pugh Class A, adequate organ reserves and RECIST v1.1 measurable disease; previous MKI for advanced disease is excluded. The primary endpoints are overall survival (OS) and progression free survival (PFS). A total sample size of 122, with 89 PFS events, we will have 80% power to detect an improvement in median PFS from 4 to 7 months, assuming a one-sided significance level of 0.05. With approximately 84 deaths, we will have 80% power to detect an improvement in median OS from 10 to 18 months, assuming a one-sided significance level of 0.05. The overall one-sided significance level, for the study, is 0.1. An OS interim analysis will be conducted at 89 PFS events. Secondary endpoints include objective response, duration of response, and adverse events. Archival tumor and serial blood samples will be collected to evaluate for potential prediction biomarkers and mechanisms of sensitivity/resistance. Baseline and on-treatment tumor biopsy specimens will also be collected from the initial 10 patients of each arm. The study is approved by the ethics committee and enrollment to the study will be underway by Q2/3 2022. Clinical trial information: NCT05168163.

4145 Background: Pancreatic ductal adenocarcinoma (PDAC) is the 4th leading cause of cancer death. Outcomes remain poor, due to irresectability at diagnosis for many and sub-optimal responses to systemic therapy. Cytotoxic chemotherapy remains the standard of care. High microsatellite instability (MSI-H) predicts response to immune checkpoint inhibition (ICI) in many cancers. Detecting high MSI is rare in PDAC (incidence <2%), but case reports demonstrate potential therapeutic benefit with ICI. Here, we present multi-institutional data to characterize the clinical behavior of MSI-H PDAC, with special attention to response to ICI. Methods: Cases of MSI-H PDAC were obtained by reviewing data of all PDAC patients from our tertiary cancer center who had undergone genomic sequencing by one commercially available platform. The resulting cohort was supplemented with MSI-H PDAC cases identified by GI oncology specialists at multiple institutions. De-identified patient data were compiled and analyzed. Results: 15 MSI-H PDAC patients were identified. 20% had stage II disease at diagnosis, 27% stage III, and 53% stage IV. 73% of patients received ICI (n=11); 40% as 1st line and 33% as 2nd line. These patients demonstrated 100% overall response rate; 45% complete response (1 pathologic CR, 4 radiographic CR) and 55% partial response. No patient that received ICI had lost response or died after a median follow-up of 18 months (range 6-89 mos). 1 patient had oligoprogression of a single hepatic lesion after 7 mos that was then irradiated; this patient retained radiographic CR for 17 subsequent mos (ongoing). In this cohort, we observe poor responses to cytotoxic chemotherapy. In total, 12 regimens were trialed among 9 patients. Overall response rate was 0%. 42% achieved disease stability, with median duration of response of 2 mos; only 2 cases maintained disease stability for >5 mos. 4 patients did not receive ICI; all patients died, with a median survival of 7.5 mos. Conclusions: MSI-H PDAC represents a rare but important subtype of PDAC with unique clinical behavior. Given its rarity, large-scale analyses and trials are unlikely to be performed, making case series such as ours crucial. In our cohort, we observe impressive, durable responses to ICI, along with very poor responses to cytotoxic chemotherapy. Our data argues for consideration of ICI in any patient presenting with MSI-H PDAC, including in the first-line and neoadjuvant settings.

4130 Background: KRAS is mutationally activated in over 90% of pancreatic ductal adenocarcinoma (PDAC). Compared to pts with KRAS mutation, KRAS wild-type (wt) PDAC seem to have better response to therapy and may harbor potentially actionable molecular alterations. Here, we analyze the molecular profile and clinical outcome of a cohort of pts with KRAS wt PDAC. Methods: A retrospective review was conducted on pts with PDAC who underwent CLIA-certified Next Generation Sequencing (NGS) testing at Mayo Clinic between December 1, 2018 and December 1, 2021. Pts with KRAS wt PDAC with available reports were included. Their genomic drivers, RNA expression, demographics, disease characteristics, therapies offered, and clinical outcome data were collected. The study was approved by the institutional IRB. Results: Of the 241 eligible pts, 8% (19) has KRAS wt PDAC. Among those, 2 pts had no mutation identified by the gene/molecular panel used. Of the 17 pts (89%) with identified alterations, mutations found in ³ 2 pts were TP53 (53%), CDKN2A (16%) and CDKN2B/ERBB2/PTEN/MSH3/RNF43/FBXW7/KMT2D/GNAS (11% each). Chromosomal rearrangements were identified in 5 (26%): CADPS2-BRAF, GP2-ERBB2, PTPRK-RSPO3, EML4-NTRK3 and TFG-MET. RNA expression results were available in 12 pts: common overexpression were ERBB2 (27%) and MET/NRAS/MYC/CCDN1/CCNE1/AR (18% each); and the under-expression MGMT (18%). Among the 13 pts with available MSI status via NGS, 2 (11%) were MSI-high (both had high TMB [28.4 and 23.7 m/MB]) while all others were TMB < 10 m/MB. The median age at diagnosis was 61 years (68% males). 8/19 (42%) were Stage IV at diagnosis with 15/19 (79%) pts ultimately diagnosed with metastatic disease. Among metastatic pts, median lines of treatment received was 2.5 (range:0-4). 4 pts received FOLFIRINOX (FFX), 2 gemcitabine/ nab-paclitaxel (GP) and tumor response were comparable to previously reported results. 1 received 1st-line pembrolizumab and remained on therapy at the time of analysis. The median length of follow up from diagnosis was 29 months. A patient with TFG-MET re-arrangement previously progressed on FFX and GP was treated using a MET inhibitor, and achieved significant CA19-9 drop and pancreas tumor shrinkage at 1st restaging, with ongoing response. Conclusions: The molecular profile of KRAS wt PDAC is highly heterogeneous and difficult to generalize. Novel approaches (e.g., basket trials) are needed to develop therapy for this rare PDAC subgroup.

TPS3172 Background: Ulixertinib (BVD-523) is a small molecule inhibitor of extracellular signal-regulated kinases 1/2 (ERK1/2) in development as a novel anti-cancer drug. Early clinical data demonstrated anti-tumor activity, especially for patients with tumors harboring atypical BRAF or MEK1/2 alterations (Sullivan et al., Cancer Discov. 2018;8(2):184-195). Atypical BRAF (non-V600) alterations can be categorized according to characteristics of molecular signaling (Class II or III), are seen in approximately 3% of all human cancers, and there are currently no approved therapies for this indication. Similar to atypical BRAF alterations, the incidence of MEK1/2 alterations are rare in human tumors (< 1 %). Preclinical data have demonstrated activity of ulixertinib in MEK mutant models. Ulixertinib has FDA fast-track designation for patients with solid tumors, other than CRC, with specific BRAF mutations (G469A, L485W, or L597Q). Designed with intent to register, the BVD-523-ABC clinical trial will continue evaluation of ulixertinib in patients with tumors harboring any atypical BRAF or MEK1/2 alteration (NCT04488003). Methods: This multi-center, phase II study, will be conducted in two parts and assess the clinical benefit, safety, pharmacokinetics, and pharmacodynamics of ulixertinib in patients with advanced malignancies. Ulixertinib will be administered at the RP2D of 600 mg BID for 28-day treatment cycles. Eligible patients will have locally advanced or metastatic cancer which progressed following standard systemic therapies, or for which the patient is not a candidate or refused systemic therapy. Planned correlative analyses include reverse phase protein array and transcriptomics of tumor tissue. Part A is open-label and tumor agnostic, except for group 4 and 6 (CRC patients only). Patients will enroll into one of six groups based on BRAF (groups 1-4) or MEK1/2 (groups 5-6) tumor alteration (38 patients per group). Overall response rate (ORR) is the primary endpoint for Part A, with secondary endpoints including duration of response (DOR), progression-free survival (PFS), and overall survival (OS). Part B is tumor histology specific. Patients will be randomized to receive either ulixertinib or physician's choice of treatment in a 2:1 ratio. Up to three specified tumor histologies will be defined, guided by available Part A data (n = 80-100 per histology). The primary endpoint of Part B is PFS, and secondary endpoints include OS, ORR, and DOR. This study has enrolled 43 patients of the planned 228 in Part A at the time of abstract submission. Clinical trial information: NCT04488003.

TPS3158 Background: ELU001 is a novel, first-in-class, new molecular entity described as a C’Dot Drug Conjugate (CDC). ELU001 consists of ̃12 folic acid targeting moieties and ̃22 exatecan topoisomerase-1 inhibitor payloads on Cathepsin-B cleavable linkers covalently bound to the surface of each silicon core/polyethylene glycol C’Dot nanoparticle. CDCs are small in size (̃6 nm), have a greater ability to penetrate into and through tumors as compared to ADCs, and are rapidly eliminated by the kidneys. The rapid systemic elimination is expected to lead to less toxicity than is observed with targeting platforms like ADCs that have a longer half-life in circulation. ELU001’s high avidity is believed to promote internalization into FRα overexpressing cancer cells, selectively delivering it’s ̃22 molecules of payload. The first-in-human clinical trial, ELU-FRα-1, is currently recruiting patients that have advanced, recurrent or refractory FRα overexpressing tumors considered to be topoisomerase 1 inhibitor-sensitive based on the literature, and, in the opinion of the Investigator, have no satisfactory therapeutic options available. Methods: This is a Phase 1 / 2 multicenter, open label clinical trial with two parts: Part 1 Dose Escalation and Part 2 Tumor Group Expansion Cohort(s). In Part 1, patients with cancer types with a high likelihood of having FRα overexpressing tumors based on historical data, (specifically, ovarian, endometrial, colorectal, gastric, gastroesophageal junction, triple negative breast, or non-small cell lung cancers, or cholangiocarcinoma), will be enrolled to the study. Patients will receive ELU001 on a weekly dose regimen (QW) (once a week for 3 weeks, 1 week rest) or every other week dose regimen (Q2W, with no rest between cycles). Retrospective analysis of FRα expression will be determined. Part 2 uses a Simon’s Two-Stage design to evaluate 4-6 tumor group expansion cohorts, each consisting of patients with specific tumor types (to be identified based on emerging data) that overexpress FRα (prospectively determined prior to enrollment). The primary objective for Part 1 is to identify the MTD/RP2D and for Part 2 is ORR. Dose Escalation will recruit about 25 patients per dose regimen (QW or Q2W). Dose Expansion will recruit about 15 patients per tumor group expansion cohort. Secondary objectives are anti-tumor activity (DOR, PFS, TFST, PFS2, OS), frequency, severity and tolerability of adverse events, PK, ADA, and FRα expression assessments. The study is actively enrolling in the US – Cohorts 1-2 have been completed without DLT. Enrollment to Cohort 3 began in December 2021. Clinical trial information: NCT05001282 .