Citations

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.

A modern approach for brain metastases includes whole-brain radiotherapy plus simultaneous boost (WBRT+SIB). We developed a survival score in 128 patients treated with WBRT+SIB. Three models, each including three prognostic groups, were created. Positive predictive values (PPVs) for death ≤6 and survival ≥6 months were calculated. On multivariate analyses, performance score (KPS) and the number of brain metastases were significantly associated with survival. On univariate analyses, age showed a strong trend, and extra-cerebral cranial metastases a trend. In Model 1 (KPS, number of lesions), compared groups had 6-month survival rates of 15%, 38% and 57%. In Model 2 (KPS, lesions, age), rates were 17%, 33% and 75%, and in Model 3 (KPS, lesions, age, extra-cerebral metastases), 14%, 34% and 78%. PPVs for death ≤6 and survival ≥6 months were 85% and 57% (Model 1), 83% and 75% (Model 2), and 86% and 78% (Model 3). Thus, all models were accurate in predicting death ≤ 6 months; poor-prognosis patients may not benefit from SIB. Models 2 and 3 were superior in predicting survival ≥ 6 months. Given that Model 3 requires more data (including extensive staging), Model 2 is considered favorable for many patients. If extra-cerebral metastases are already known or extensive staging has been performed, Model 3 can also be used.

OBJECTIVE Quantitative measurements of trigonocephaly can be used to characterize and track this phenotype, which is associated with metopic craniosynostosis. Traditionally, trigonocephaly metrics were extracted from CT scans; however, this method exposes patients to ionizing radiation. Three-dimensional optical scans are another option but are not routinely available in most outpatient settings. Recently, the authors developed semiautomated artificial intelligence algorithms that extract craniometric data from orthogonal 2D photographs. Although 2D photographs are safe, inexpensive, and straightforward to obtain, the accuracy of photograph-based craniometrics in comparison to CT and 3D optical scan correlates has not been established. In this study the authors compared the classification power of 2D photograph–based metrics of trigonocephaly with four CT-based metrics and one 3D optical scan–based metric in a heterogeneous series of patients who presented to an outpatient craniofacial clinic. METHODS In this study the authors performed retrospective craniometric analyses of patient 2D photographs, 3D optical scans, and CT scans. Imaging-derived craniometrics include the 2D photograph–based anterior arc angle (AAA2D-photo), anterior-posterior ratio (APR2D-photo), and anterior-middle ratio (AMR2D-photo); the CT-based anterior arc angle (AAACT), metopic index (MICT), endocranial-bifrontal angle (eBFACT), and interfrontal angle (IFACT); and the 3D optical scan–based anterior arc angle (AAA3D-optical). Receiver operating characteristics (ROCs) were used to identify craniometrics strongly descriptive of trigonocephaly. Interrater comparisons were made between paired trigonocephaly measurements obtained from photographs and either CT scans or 3D optical scans. RESULTS There were 13 photograph-based and CT-based pairs and 22 paired measurements from 2D photographs and 3D optical scans. AAA displayed the strongest classification capacity across all three imaging modalities. Significant agreement was observed between AAACT and AAA2D-photo (intraclass correlation coefficient [ICC] = 0.68 [95% CI 0.24–0.89], p = 0.0035), and AAA3D-optical and AAA2D-photo (ICC = 0.70 [95% CI 0.41–0.87], p < 0.0001). There was no significant correlation between APR2D-photo or AMR2D-photo and conventional CT-based metrics describing longitudinal width ratios (MICT). CONCLUSIONS Photograph-based craniometrics are powerful tools that can be used to quantify the severity of trigonocephaly and exhibit high concordance with standard measurements derived from CT scans and 3D optical scans. The authors developed and freely share a research-use application to calculate trigonocephaly metrics from 2D photographs. Given the availability of digital photography, lack of ionizing radiation, and low cost of photograph-based craniometric derivation, this technique may be useful to supplement routine ambulatory care and objectively track outcomes following treatment.

AbstractCheckpoint inhibitor (CPI) therapy with anti–PD-1 antibodies has been associated with mixed outcomes in small cohorts of patients with relapsed aggressive B-cell lymphomas after CAR-T failure. To define CPI therapy efficacy more definitively in this population, we retrospectively evaluated clinical outcomes in a large cohort of 96 patients with aggressive B-cell lymphomas receiving CPI therapy after CAR-T failure across 15 US academic centers. Most patients (53%) had diffuse large B-cell lymphoma, were treated with axicabtagene ciloleucel (53%), relapsed early (≤180 days) after CAR-T (83%), and received pembrolizumab (49%) or nivolumab (43%). CPI therapy was associated with an overall response rate of 19% and a complete response rate of 10%. Median duration of response was 221 days. Median progression-free survival (PFS) and overall survival (OS) were 54 and 159 days, respectively. Outcomes to CPI therapy were significantly improved in patients with primary mediastinal B-cell lymphoma. PFS (128 vs 51 days) and OS (387 vs 131 days) were significantly longer in patients with late (&gt;180 days) vs early (≤180 days) relapse after CAR-T. Grade ≥3 adverse events occurred in 19% of patients treated with CPI. Most patients (83%) died, commonly because of progressive disease. Only 5% had durable responses to CPI therapy. In the largest cohort of patients with aggressive B-cell lymphoma treated with CPI therapy after CAR-T relapse, our results reveal poor outcomes, particularly among those relapsing early after CAR-T. In conclusion, CPI therapy is not an effective salvage strategy for most patients after CAR-T, where alternative approaches are needed to improve post–CAR-T outcomes.

AbstractBackgroundLenalidomide maintenance after autologous stem cell transplant (ASCT) in multiple myeloma (MM) results in superior progression‐free survival and overall survival. However, patients with high‐risk multiple myeloma (HRMM) do not derive the same survival benefit from lenalidomide maintenance compared with standard‐risk patients. The authors sought to determine the outcomes of bortezomib‐based maintenance compared with lenalidomide maintenance in patients with HRMM undergoing ASCT.MethodsIn total, the authors identified 503 patients with HRMM who were undergoing ASCT within 12 months of diagnosis from January 2013 to December 2018 after receiving triplet novel‐agent induction in the Center for International Blood and Marrow Transplant Research database. HRMM was defined as deletion 17p, t(14;16), t(4;14), t(14;20), or chromosome 1q gain.ResultsThree hundred fifty‐seven patients (67%) received lenalidomide alone, and 146 (33%) received bortezomib‐based maintenance (with bortezomib alone in 58%). Patients in the bortezomib‐based maintenance group were more likely to harbor two or more high‐risk abnormalities and International Staging System stage III disease (30% vs. 22%; p = .01) compared with the lenalidomide group (24% vs. 15%; p < .01). Patients who were receiving lenalidomide maintenance had superior progression‐free survival at 2 years compared with those who were receiving either bortezomib monotherapy or combination therapy (75% vs. 63%; p = .009). Overall survival at 2 years was also superior in the lenalidomide group (93% vs. 84%; p = .001).ConclusionsNo superior outcomes were observed in patients with HRMM who received bortezomib monotherapy or (to a lesser extent) in those who received bortezomib in combination as maintenance compared with lenalidomide alone. Until prospective data from randomized clinical trials are available, post‐transplant therapy should be tailored to each patient with consideration for treating patients in clinical trials that target novel therapeutic strategies for HRMM, and lenalidomide should remain a cornerstone of treatment.

Abstract Surgical resection of early stage soft-tissue sarcomas (STS) is a potentially curative treatment; however, many STS tumors will recur. Predicting recurrence and survival outcomes for patients with early stage STS remains a challenge. In this study, we identify prognostic biomarkers from clinical and transcriptomic data form a large set of early stage STS. Primary tumor samples from 69 subjects with STS were sequenced using the Tempus xT targeted DNA and whole transcriptome next-generation sequencing platforms. The most common histologies included were liposarcoma (n=22), gastrointestinal stromal tumor (n=19), and leiomyosarcoma (n=12). As expected, high-grade tumors were associated with decreased DFS and OS times while tumor histology was only correlated with OS. Single sample gene set enrichment analysis (ssGSEA) values for seven Hallmark genesets were correlated with both DFS and OS; including pro-tumor survival pathways (p53, Apoptosis, TNF-α via NF-κB), tumor proliferation pathways (MTORC1, MYC Targets, Mitotic Spindle), and UV Response signaling. These pathways are associated with tumor proliferation as well as an immunosuppressive tumor microenvironment (TME). To assess the TME of these tumors we estimated immune cell infiltration using CIBERSORTx. Of the 22 cell types accounted for by CIBERSORTx, only elevated infiltration of M2 Macrophages were associated with poor DFS and OS. To further determine TME activation we assessed the expression of 74 known immune response associated genes. Only PDCD1 (PD-1) was associated with reduced DFS and OS times. Clustering on the nine variables identified here to correlate with both DFS and OS revealed two distinct clusters demonstrating similar histologies. While histologies were similar across clusters, cluster 2 exclusively included high-grade tumors while cluster 1 was made up of 57.4% high-grade tumors. Sub-classifying cluster 1 into low and high-grade subgroups demonstrated a stepped biomarker expression pattern associated with both tumor grade and cluster membership. Using established TME genesets, high-grade tumors demonstrated higher tumor proliferative scores than low-grade tumors, while cluster 2 tumors demonstrated increased tumor associated macrophage signaling. In a multivariable model, cluster membership outperformed tumor grade and histology as the only significant predictor of DFS or OS. Taken together, while tumor grade is a strong predictor of clinical outcomes following surgical resection in STS, immunosuppressive signaling patters may help to identify patients at the highest risk. Citation Format: Nathan David Seligson, Yan W. Asmann, Tariq Almerey, Steven Attia, Sanjay P. Bagaria. Immune-suppressive tumor microenvironment leads to poor survival following curative intent surgical resection in soft-tissue sarcomas [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 990.

Abstract Background: Cholangiocarcinoma (CCA) is a lethal disease with limited therapeutic options. We have previously discovered LCK driving signaling through AXL, a TAM receptor tyrosine kinase (RTK), by phosphoproteomic analysis of CCA (J Hepatol 2022). AXL mediates acquired drug resistance in solid cancers. However, the exact role of AXL in CCA still remains to be elucidated. Here, we investigated the significance of AXL expression as a potential therapeutic target in CCA and the role of phosphorylated AXL Y866. Methods: We first evaluated the expression levels of AXL in CCA and its associations with patient outcomes using The Cancer Genome Atlas (TCGA) database. Next, to evaluate whether AXL inhibition sensitizes CCA cells to gemcitabine and cisplatin (GemCis) therapy, AXL downregulation was achieved via the siRNA approach and the selective inhibitor bemcentinib. We examined the 50% inhibitory concentration (IC50) value of HuCCT1, a well-characterized CCA cell line, on GemCis therapy with or without AXL knockdown using cell viability assay. Then we assessed the efficacy of the combinatorial therapy of GemCis and bemcentinib utilizing Calcusyn software. Apoptosis was evaluated by Annexin V assay. In vivo efficacy was assessed using an SB-1 (murine CCA cell line) and a syngeneic murine model of CCA treated with vehicle, GemCis, bemcentinib, and the combination of GemCis and bemcentinib. Finally, to investigate the role of AXL Y866 in CCA, we performed BioID to identify and compare the interactomes of AXL WT and AXL Y866F in HuCCT1 cells. Results: In the TCGA cohorts, AXL is significantly expressed in CCA (P &lt; 0.01), and disease-free survival and overall survival in the low AXL expression group are significantly longer than those in the high AXL expression group (P = 0.04, 0.01). In in vitro study, the IC50 value of GemCis was decreased from 685nM to 129nM after AXL knockdown. A synergistic effect was observed with CI = 0.17 and Fa = 0.50 in the combinatorial therapy. The combinatorial therapy caused significantly increased apoptosis compared to GemCis or bemcentinib alone (P &lt; 0.01, P &lt; 0.01). In in vivo study, the combinatorial therapy significantly suppressed the tumor growth compared to GemCis or bemcentinib alone (P = 0.04, 0.01), and the expression levels of Ki67 and the phosphorylation levels of PEAK1 decreased in the combinatorial therapy group compared to other groups in immunostaining examination. In BioID experiments, among the 222 proteins detected in both AXL WT and AXL Y866F interactomes, PEAK1 kinase, which localizes to actin cytoskeleton and focal adhesions, was the kinase most affected by AXL Y866. In gene ontology analysis to characterize the interactome of AXL Y866, cell-cell adhesion and focal adhesion-related proteins were enriched. Conclusions: AXL inhibition sensitizes CCA cells to cytotoxic chemotherapy in the preclinical model. AXL Y866-PEAK1 signaling axis is a potential target for the treatment of CCA. Citation Format: Shohei Takaichi, Dong-Gi Mun, Jennifer L. Tomlinson, Amro M. Abdelrahman, Danielle M. Carlson, Alaa Abou Daher, Nathan W. Werneburg, Xinyan Wu, Akhilesh Pandey, Gregory J. Gores, Rory L. Smoot. Axl inhibition sensitizes cholangiocarcinoma cells to cytotoxic chemotherapy. [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 4996.

Abstract Background: Cholangiocarcinoma (CCA) is a heterogeneous malignancy arising from the biliary epithelium. Its diverse molecular landscape and aggressive biology render many anti-cancer therapies ineffective. Nanovesicle technology provides an opportunity for therapeutic inhibition of oncogenic targets that have been previously classified as undruggable. EpCAM is an epithelial-specific, transmembrane glycoprotein with increased expression in human and murine CCA which can be used for nanovesicle targeting. As a proof of concept study, we designed and validated a novel strategy to direct therapeutic milk-derived nanovesicles (tMNVs) to CCA tumors. Methods: tMNVs were decorated with RNA nanoparticles containing a validated aptamer (EpDT3) against EpCAM conjugated to a cholesterol-triethylene-glycol (TEG) scaffold containing an Alexa647 fluorophore. Human and murine CCA cell lines were treated with aptamer directed tMNVs and assessed for nanovesicle uptake by fluorescent microscopy. CCA tumor tissue, derived from orthotopic implantation of a syngeneic CCA cell line, SB1, into a C57BL/6 mouse, was collected and treated with either aptamer-directed or bare tMNVs ex vivo, and compared with adjacent normal liver tissue. Flow cytometry was utilized to characterize tMNVs absorption profile. C57BL/6 mice who had previously undergone SB1 orthotopic and flank implantation were treated with aptamer-directed tMNVs by tail-vein injection and subsequently euthanized. Tissue was collected for biodistribution analyses by fluorescent microscopy. The experiment was repeated in NOD-scid mice following orthotopic implantation of patient derived xenograft (PDX) CCA tumor. Results: Both human and murine CCA cells treated with aptamer-directed tMNVs demonstrated high fluorescent signal consistent with tMNV absorption within 12 hours of application. Flow cytometry analysis showed aptamer-directed tMNVs were absorbed at a higher proportion by CCA tumors than bare tMNVs ex vivo. Aptamer-directed tMNVs also had better absorption by CCA tumors compared to adjacent normal liver tissue. Following treatment with aptamer-directed or bare tMNVs in vivo, fluorescent microscopy demonstrated that aptamer-directed tMNVs were significantly better absorbed in the orthotopic SB1 tumors, followed by the subcutaneous tumors. Minimal fluorescent signal was noted in the normal adjacent liver. Orthotopically implanted PDX tumors also demonstrated high fluorescent signals following intravenous treatment with aptamer-directed tMNVs. Conclusions: Utilizing a novel targeting strategy, we were able to design tMNVs capable of reliably and specifically targeting CCA in preclinical models. This work is foundational to the future application of nanovesicle technology in the CCA treatment paradigm. Citation Format: Mincheng Yu, Jennifer L. Tomlinson, Emilien J. Loeuillard, Ryan D. Watkins, Caitlin B. Conboy, Shohei Takaichi, Nathan W. Werneburg, Roberto Alva-Ruiz, Amro Abdelrahman, Danielle M. Carlson, Jingchun Yang, Sumera I. Ilyas, Gregory J. Gores, Tushar Patel, Rory L. Smoot. Novel strategy for aptamer-directed nanovesicle targeting in cholangiocarcinoma [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 814.

Abstract Context Osteopathic manipulative treatment (OMT) has been established as a beneficial and noninvasive treatment option for multiple conditions. With the total number of osteopathic providers tripling and the subsequent increase in osteopathic physician representation, we would expect the clinical use of OMT to increase accordingly. Objectives To that end, we evaluated the utilization and reimbursement of OMT services among Medicare beneficiaries. Methods Current procedural terminology (CPT) codes 98925 to 98929 were accessed from the Center for Medicare and Medicaid Services (CMS) from 2000 to 2019. These codes indicate OMT treatment, 98925 (1–2 body regions treated), 98926 (3–4 body regions treated), 98927 (5–6 body regions treated), 98928 (7–8 body regions treated), and 98929 (9–10 body regions treated). Monetary reimbursement from Medicare was adjusted for inflation, and total code volume was scaled to codes per 10,000 beneficiaries to account for the increase in Medicare enrollment. Results Overall OMT utilization declined between 2000 and 2019 by 24.5%. A significant downward trend in the utilization of CPT codes for OMT involving fewer body regions (98925–98927) was observed, and was contrasted by a slight upward trend in the use of codes for more body regions (98928, 98929). The adjusted sum reimbursement of all codes decreased by 23.2%. Lower value codes showed a higher rate of decline, whereas higher value codes changed less dramatically. Conclusions We conjecture that lower remuneration for OMT has disincentivized physicians financially and may have contributed to the overall decline in OMT utilization among Medicare patients, along with a decreased number of residencies offering specific training in OMT, and increased billing complexity. In considering the upward trend of higher-value code usage, it is possible that some physicians are increasing the comprehensiveness of their physical assessment and associated OMT to reduce the overall financial impact of reimbursement cuts.

Background: Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. Methods: The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). Results: Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only PROC (odds ratio, 6.2 for carriers of rare variants; P =7.4×10 −14 ) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at PROC (odds ratio, 3.8; P =1.6×10 −14 ), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: PROS1 became significant (minimum P =1.8×10 −6 with the secondary filter), while SERPINC1 did not (minimum P =4.4×10 −5 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, MS4A1 , became significant ( P =4.4×10 −7 using all missense variants with minor allele frequency <0.0005). Conclusions: Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel MS4A1 locus and to identify additional rare variation associated with venous thromboembolism.