Citations

AbstractBackgroundSmall coronary arteries containing stents pose a challenge in CT imaging due to metal‐induced blooming artifact. High spatial resolution imaging capability is as the presence of highly attenuating materials limits noninvasive assessment of luminal patency.PurposeThe purpose of this study was to quantify the effective lumen diameter within coronary stents using a clinical photon‐counting‐detector (PCD) CT in concert with a convolutional neural network (CNN) denoising algorithm, compared to an energy‐integrating‐detector (EID) CT system.MethodsSeven coronary stents of different materials and inner diameters between 3.43 and 4.72 mm were placed in plastic tubes of diameters 3.96–4.87 mm containing 20 mg/mL of iodine solution, mimicking stented contrast‐enhanced coronary arteries. Tubes were placed parallel with or perpendicular to the scanner's z‐axis in an anthropomorphic phantom emulating an average‐sized patient and scanned with a clinical EID‐CT and PCD‐CT. EID scans were performed using our standard coronary computed tomography angiography (cCTA) protocol (120 kV, 180 quality reference mAs). PCD scans were performed using the ultra‐high‐resolution (UHR) mode (120 × 0.2 mm collimation) at 120 kV with tube current adjusted so that CTDIvol was matched to that of EID scans. EID images were reconstructed per our routine clinical protocol (Br40, 0.6 mm thickness), and with the sharpest available kernel (Br69). PCD images were reconstructed at a thickness of 0.6 mm and a dedicated sharp kernel (Br89) which is only possible with the PCD UHR mode. To address increased image noise introduced by the Br89 kernel, an image‐based CNN denoising algorithm was applied to the PCD images of stents scanned parallel to the scanner's z‐axis. Stents were segmented based on full‐width half maximum thresholding and morphological operations, from which effective lumen diameter was calculated and compared to reference sizes measured with a caliper.ResultsSubstantial blooming artifacts were observed on EID Br40 images, resulting in larger stent struts and reduced lumen diameter (effective diameter underestimated by 41% and 47% for parallel and perpendicular orientations, respectively). Blooming artifacts were observed on EID Br69 images with 19% and 31% underestimation of lumen diameter compared to the caliper for parallel and perpendicular scans, respectively. Overall image quality was substantially improved on PCD, with higher spatial resolution and reduced blooming artifacts, resulting in the clearer delineation of stent struts. Effective lumen diameters were underestimated by 9% and 19% relative to the reference for parallel and perpendicular scans, respectively. CNN reduced image noise by about 50% on PCD images without impacting lumen quantification (<0.3% difference).ConclusionThe PCD UHR mode improved in‐stent lumen quantification for all seven stents as compared to EID images due to decreased blooming artifacts. Implementation of CNN denoising algorithms to PCD data substantially improved image quality.

AbstractBackgroundThe accuracy of the eighth AJCC ypTNM staging system on the prognosis of gastric cancer (GC) patients after neoadjuvant therapy (NAT) is controversial. This study aimed to develop and validate a novel staging system using the log odds of positive lymph nodes scheme (LODDS).MethodsA retrospective analysis of 606 GC patients who underwent radical gastrectomy after neoadjuvant therapy was conducted as the development cohort. (Fujian Medical University Affiliated Union Hospital (n = 183), Qinghai University Affiliated Hospital (n = 169), Mayo Clinic (n = 236), Lanzhou University First Hospital (n = 18)). The validation cohort came from the SEER database (n = 1701). A novel ypTLoddsS (ypTLM) staging system was established using the 3‐year overall survival. The predictive performance of two systems was compared. ResultsTwo‐step multivariate Cox regression analysis in both cohorts showed that ypTLM was an independent predictor of overall survival of GC patients after neoadjuvant therapy (HR: 1.57, 95% CI: 1.30–1.88, p < 0.001). In the development cohort, ypTLM had better discrimination ability than ypTNM (C‐index: 0.663 vs 0.633, p < 0.001), better prediction homogeneity (LR: 97.7 vs. 70.9), and better prediction accuracy (BIC: 3067.01 vs 3093.82; NRI: 0.36). In the validation cohort, ypTLM had a better prognostic predictive ability (C‐index: 0.614 vs 0.588, p < 0.001; LR: 11,909.05 vs. 11,975.75; BIC: 13,263.71 vs 13,328.24; NRI: 0.22). The time‐dependent ROC curve shows that the predictive performance of ypTLM is better than ypTNM, and the analysis of the decision curve shows that ypTLM achieved better net benefits. ConclusionA LODDS‐based ypTLM staging system based on multicenter data was established and validated. The predictive performance was superior to the eighth AJCC ypTNM staging system.

Abstract Background: Bria-IMT (SV-BR-1-GM) is an off-the-shelf whole tumor cell therapeutic vaccine engineered to express class I & class II HLAs, secrete GM-CSF, and function as antigen-presenting cells; with subsequent enhancements improving in-vitro characteristics. By expressing cancer antigens such as HER2/Neu and PRAME, SV-BR-1-GM also serves as the reservoir of cancer antigens to activates patient’s anti-tumor immune responses. The safety and efficacy of the ongoing clinical trial of SV-BR-1-GM in combination with a PD1 inhibitor are reported. We also report post-hoc exploratory data for patients with advanced metastatic breast cancer (aMBC) treated with SV-BR-1-GM regimens. Methods: Ongoing prospective, phase 1-2, with an expansion randomized phase 2 cohort (NCT03328026; 2018-present) using SV-BR-1-GM with a PD1 inhibitor (pembrolizumab or retifanlimab) with cycles every 3 weeks (16 patients dosed to date). SV-BR-1-GM “monotherapy” (NCT03066947; 2013-8), a completed prospective phase 1-2 results are also presented. Results: A total of 51 patients received any SV-BR-1-GM regimen; 27 in monotherapy (SV) and 24 in combination with a PD-1 inhibitor (CO) currently ongoing: 4 subjects from SV continued on with CO. Median prior regimens = 5; 61% ER or PR+; 6% ER or PR-/HER2+ and 29% triple negative. SV-BR-1-GM was well tolerated. Disease control rate was 40% with SV and 41% with CO in subjects with available assessment(s). Median PFS was 2.7 months with 6 having PFS &gt;150 days (150-226) for SV and 2.6 months with 5 &gt; 150 days (188-308) for CO. Per protocol, 23 patients had anergy testing prior to treatment. Among those with a normal immunologic response (n=13, 56%), disease outcomes included 4 SD and 2 PR (46% CBR) vs anergic patients (n=7, 30%) with 1 SD (14% CBR); 3 patients (13%) with unknown anergy testing had 0% CBR. All 7 anergic patients developed delayed-type hypersensitivity (DTH) injection site responses to SV-BR-1-GM. Subjects with DTH (injection site induration/erythema) had a significant reduction in the risk of progression or death (HR=0.096, 95%CI:0.02-0.50, p&lt;0.05). Subjects with a reduction in circulating tumor cells (CTC) also had an improvement in PFS (HR 0.08, p=.0012). Median OS (uncensored) was 11.2 months in CO (n = 8). 7 out of 20 (35%) for SV and 9 out of 22 subjects (41%) for CO with available data, exceeded prior PFS. Among HLA matched subjects 4/7 (57%) and 6/9 (67%), respectively, had an increase in PFS. PFS ratio improved independent of prior number of lines, HER2 or HR status. The greatest improvement in PFS on a SV-BR-1-GM was in a HLA matched subject (&gt;6mo). TEAEs occurred in 20/24 (83%) of subjects in CO including 9/24 (38%) with injection site AEs. There were no AEs of special interest eg cytokine storm. There were no Grade 5 and only 6 grade 4 AEs in CO. Conclusions: In an ongoing randomized phase 2, anergic patients had worse outcomes. SV-BR-1-GM was able to illicit an immune response regardless. Responses, stable disease and CBR were seen and associated with immune responses including injection site erythema/induration (DTH), CTC changes and tumor grade I/II. Patients with disease control had better quality of life. SV-BR-1-GM may be able to alter an anergic immune system for clinical benefit. Future pivotal trials will be based upon the ongoing confirmatory randomized clinical trial. Citation Format: Saranya Chumsri, Minal Barve, Chaitali Nangia, Bonnie L. Guerin, Jarrod Holmes, Karim Mohammed, John Knecht, Shaker Dakhil, William V. Williams, Charles Wiseman, Mingjin Chang, Miguel Lopez-Lago, John G. Knecht, Kendrith Rowland, Ralph V. Boccia, Giuseppe Del Priore, Carmen Calfa. Whole cell antigen presenting immune stimulating cells (Bria-IMT) for the treatment of metastatic breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT143.

Introduction: Testing healthcare delivery interventions in rigorous clinical trials is a critical step in improving patient care, but conducting multisite randomized clinical trials to test the effect of care delivery interventions has unique challenges and requires foresight and planning. Methods: We conducted the first care delivery trial (A191402CD) in the Alliance for Clinical Trials in Oncology, a National Cancer Institute Community Oncology Research Program research base, which tested the effectiveness of two different decision aids for supporting shared decision-making about prostate cancer treatment. Our experience illustrates the kind of challenges that confront care delivery researchers as they seek to test interventions to improve the experiences of patients. Results: Lessons learned include the following: cluster-randomized designs introduce complexity; workflow disruption can discourage site participation; evidence-based methods may not always be sufficient. Conclusion: We conclude with the following recommendations: assessing feasibility requires special rigor; relationships and interpersonal dynamics must be leveraged. Our experiences may inform future care delivery research.

AbstractBackgroundPhoton‐counting‐detector CT (PCD‐CT) enables the production of virtual monoenergetic images (VMIs) at a high spatial resolution (HR) via simultaneous acquisition of multi‐energy data. However, noise levels in these HR VMIs are markedly increased.PurposeTo develop a deep learning technique that utilizes a lower noise VMI as prior information to reduce image noise in HR, PCD‐CT coronary CT angiography (CTA).MethodsCoronary CTA exams of 10 patients were acquired using PCD‐CT (NAEOTOM Alpha, Siemens Healthineers). A prior‐information‐enabled neural network (Pie‐Net) was developed, treating one lower‐noise VMI (e.g., 70 keV) as a prior input and one noisy VMI (e.g., 50 keV or 100 keV) as another. For data preprocessing, noisy VMIs were reconstructed by filtered back‐projection (FBP) and iterative reconstruction (IR), which were then subtracted to generate “noise‐only” images. Spatial decoupling was applied to the noise‐only images to mitigate overfitting and improve randomization. Thicker slice averaging was used for the IR and prior images. The final training inputs for the convolutional neural network (CNN) inside the Pie‐Net consisted of thicker‐slice signal images with the reinsertion of spatially decoupled noise‐only images and the thicker‐slice prior images. The CNN training labels consisted of the corresponding thicker‐slice label images without noise insertion. Pie‐Net's performance was evaluated in terms of image noise, spatial detail preservation, and quantitative accuracy, and compared to a U‐net‐based method that did not include prior information.ResultsPie‐Net provided strong noise reduction, by 95 ± 1% relative to FBP and by 60 ± 8% relative to IR. For HR VMIs at different keV (e.g., 50 keV or 100 keV), Pie‐Net maintained spatial and spectral fidelity. The inclusion of prior information from the PCD‐CT data in the spectral domain was able to improve a robust deep learning‐based denoising performance compared to the U‐net‐based method, which caused some loss of spatial detail and introduced some artifacts.ConclusionThe proposed Pie‐Net achieved substantial noise reduction while preserving HR VMI's spatial and spectral properties.

ImportanceDisparities in treatment initiation may affect outcomes, but data on racially diverse populations with chronic hepatitis B virus (HBV) infection are limited.ObjectiveTo examine whether HBV treatment initiation and outcomes differ among racial groups.Design, Setting, and ParticipantsFrom January 14, 2011, to January 28, 2018, hepatitis B surface antigen—positive adults (age ≥18 years) not receiving anti-HBV therapy were enrolled and followed up at weeks 12, 24, and every 24 weeks thereafter in a multicenter longitudinal cohort study (Hepatitis B Research Network [HBRN] adult cohort study) conducted in North America. The last study visit and data collection were completed January 28, 2019. Data were analyzed from August 27, 2021, to August 25, 2022. All HBRN participants were included unless they had acute HBV, HIV, hepatitis C or D, less than 24-weeks of follow-up after enrollment, initiated treatment at or immediately after enrollment, or had unknown race.ExposuresParticipants had clinical and laboratory assessments and could receive anti-HBV treatment after enrollment.Main Outcomes and MeasuresHepatitis B virus treatment initiation and major adverse liver outcomes (hepatic decompensation, hepatocellular carcinoma, liver transplant, and death).ResultsOf 1550 participants, 193 (12%) were African American or Black, 1157 (75%) were Asian, 157 (10%) were White, and 43 (3%) were other races; 789 (51%) were women, and the median age was 41.2 (IQR, 32.9-51.6) years. Sociodemographic and virologic parameters differed between groups. During 5727 person-years of follow-up, 504 participants initiated treatment, with incidences of 4.8 per 100 person-years in African American or Black individuals, 9.9 per 100 person-years in Asian individuals, 6.6 per 100 person-years in White individuals, and 7.9 per 100 person-years in those of other races (P &amp;lt; .001). A lower proportion (14%) of African American or Black participants met treatment criteria compared with Asian (22%) and White (27%) individuals (P = .01). The cumulative probabilities of treatment initiation after meeting the criteria were not significantly different among racial groups (African American or Black, 0.45; Asian, 0.38; White, 0.40 at 48 weeks and African American or Black, 0.45; Asian, 0.51; White, 0.51 at 72 weeks; P = .68). The incidence of major adverse liver outcomes was 0.1 per 100 person-years and did not differ by race.Conclusions and RelevanceIn this observational study of chronic HBV, African American or Black participants were less likely than individuals of other races to meet treatment criteria, but among those who did, HBV treatment receipt did not differ significantly by race or socioeconomic factors. Not all eligible participants initiated treatment, but adverse liver outcomes were rare. These findings may not be generalizable to patients with chronic HBV receiving care in other settings.

AbstractIntroductionLetters of recommendation (LORs) are important in pharmacy residency applications. Applicant gender, among other variables, may result in implicit biases that could impact LORs and/or residency attainment. This study hypothesized that LORs have linguistic gender differences in pharmacy residency applications.ObjectivesThe primary objective was to determine if gender‐linguistic differences exist in applicants' LORs. Gender was assessed via the pronouns utilized within the applications. The secondary outcome was to assess LOR linguistic and demographic differences between candidates who did and did not receive interviews.MethodsThis was a multiyear, multicenter study involving postgraduate year one (PGY1) applicants to participating pharmacy residency programs. Demographic data were extracted using the PhORCAS (Pharmacy Online Residency Centralized Application Service) WebADMIT (Admissions Management System) portal, and LORs were analyzed by validated linguistics processing software.ResultsA total of 7529 LORs and 2383 applicants (28.5% men, 71.5% women) were included. Women candidates had higher mean number of awards (4.71 vs. 4.1, p = 0.001) and leadership positions (4.87 vs. 4.48, p = 0.019). Compared with men candidates, women had statistically significantly higher levels of clout (p < 0.001), positive emotion (p = 0.01), social processes (p < 0.001), prosocial behavior (p = 0.002), and social referents (p < 0.001). Women also had lower authenticity compared with men candidates (p < 0.001). Two thousand and one hundred twenty applicants included in the secondary analysis found no difference in offer to interview between women and men candidates (odds ratio [OR] 1.173 [95% confidence interval (CI) 0.895–1.57], p = 0.247).ConclusionsMen and women applicants' LORS differed in specific linguistic variables, although offer to interview was not significantly different based on gender. LOR writers and programs should consider implicit biases that could affect residency offers to interview.

Abstract Recurrent chromosomal rearrangements are a hallmark of hematologic malignancies and play critical roles in pathogenesis. The TP53 analog TP63 is rearranged in 5-10% of diverse subtypes of both aggressive T- and B-cell lymphomas. Patients with TP63-rearranged lymphomas have dismal outcomes, with 5-year overall survival rates between 0-17%, depending on cohorts. The function and mechanisms of TP63 rearrangements and TP63 fusion proteins in tumorigenesis are poorly understood. As a result, attempts to treat these patients to date have been largely empiric. Thus, there is an urgent need to understand how TP63 fusions contribute to tumorigenesis and to translate the findings into novel therapeutic options for these patients. Here, we demonstrated that TP63 fusions are essential for the propagation of T-cell lymphomas (TCLs). Knockdown of TP63 fusions with specific shRNAs in TCL cell lines harboring TP63 fusions suppressed both cell growth in vitro and tumor growth in vivo. Retroviral expression of TBL1XR1-TP63, the most common TP63 fusion, conferred cytokine independence in Ba/F3 cells, consistent with its role as an oncogene. To investigate the role of TP63 fusions in T- and B-cell lymphomagenesis, we engineered a CAG-Loxp-Stop-Loxp-TBL1XR1-TP63 conditional knock-in mouse model and crossed with hCD2-Cre mice. This results in expression beginning during early lymphoid development. As observed in patients, transgenic mice developed multiple subtypes of both T- and B-cell lymphoma. To define the effects and mechanisms of TP63 fusions within T cells, we performed CRISPR scanning, transcriptomic, epigenomic, and proteomic analyses. Our data showed that domains within both the N-terminal TBL1XR1 and C-terminal TP63 portions contribute to the function of this fusion. We found that the N-terminal component of TP63 fusions interacts with components of the NCOR/SMRT complex. At the same time, the C-terminal portion of TP63 (which recapitulates the deltaN-p63 isoform expressed in some carcinomas) interacts with the enhancer modifier KMT2D and its complex members. TBL1XR1-TP63 binds to a novel distal enhancer to drive MYC expression, and thus upregulates the expression of the histone H3K27 methylase EZH2. Finally, we assessed whether EZH2 is a vulnerability of TP63-rearranged lymphomas. We found that knockdown of EZH2 in TP63-rearranged lines significantly impaired cell growth, as did treatment with the EZH2 and 1 dual inhibitor valemetostat. Valemetostat, which is now being tested in patients with lymphoma, counteracted the oncogenic effects of TP63 fusions in multiple preclinical models in vivo. Together, our results identify the TP63 fusion as a highly unique oncogenic driver in lymphomagenesis capable of recruiting multiple epigenetic modifier complexes and inducing a targetable dependence on EZH2. Citation Format: Gongwei Wu, Noriaki Yoshida, Jihe Liu, Xiaoyang Zhang, Yuan Xiong, Tayla Heavican-Foral, Huiyun Liu, Geoffrey Nelson, Lu Yang, Renee Chen, Katherine Donovan, Marcus Jones, Mikhail Roshal, Yanming Zhang, Ran Xu, Ajit Nirmal, Salvia Jain, Catharine Leahy, Kristen Jones, Kristen Stevenson, Natasha Galasso, Nivetha Ganesan, Tiffany Chang, Wen-Chao Wu, Abner Louissaint, Lydie Debaize, Hojong Yoon, Paola Dal Cin, Wing Chan Chan, Shannan Ho Sui Ho Sui, Samuel Ng, Andrew Feldman, Steven M. Horwitz, Mathew Meyerson, Karen Adelman, Eric Fischer, Chun-Wei Chen, David Weinstock, Myles Brown. TP63 fusions drive enhancer rewiring, lymphomagenesis, and dependence on EZH2. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5755.

The NCCN Guidelines for Non–Small Cell Lung Cancer (NSCLC) provide recommendations for management of disease in patients with NSCLC. These NCCN Guidelines Insights focus on neoadjuvant and adjuvant (also known as perioperative) systemic therapy options for eligible patients with resectable NSCLC.