Spatial and single-cell colocalisation analysis reveals MDK-mediated immunosuppressive environment with regulatory T cells in colorectal carcinogenesis

BACKGROUND

Cell-cell interaction factors that facilitate the progression of adenoma to sporadic colorectal cancer (CRC) remain unclear, thereby hindering patient survival.

METHODS

We performed spatial transcriptomics on five early CRC cases, which included adenoma and carcinoma, and one advanced CRC. To elucidate cell-cell interactions within the tumour microenvironment (TME), we investigated the colocalisation network at single-cell resolution using a deep generative model for colocalisation analysis, combined with a single-cell transcriptome, and assessed the clinical significance in CRC patients.

FINDINGS

CRC cells colocalised with regulatory T cells (Tregs) at the adenoma-carcinoma interface. At early-stage carcinogenesis, cell-cell interaction inference between colocalised adenoma and cancer epithelial cells and Tregs based on the spatial distribution of single cells highlighted midkine (MDK) as a prominent signalling molecule sent from tumour epithelial cells to Tregs. Interaction between MDK-high CRC cells and SPP1+ macrophages and stromal cells proved to be the mechanism underlying immunosuppression in the TME. Additionally, we identified syndecan4 (SDC4) as a receptor for MDK associated with Treg colocalisation. Finally, clinical analysis using CRC datasets indicated that increased MDK/SDC4 levels correlated with poor overall survival in CRC patients.

INTERPRETATION

MDK is involved in the immune tolerance shown by Tregs to tumour growth. MDK-mediated formation of the TME could be a potential target for early diagnosis and treatment of CRC.

FUNDING

Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Science Research; OITA Cancer Research Foundation; AMED under Grant Number; Japan Science and Technology Agency (JST); Takeda Science Foundation; The Princess Takamatsu Cancer Research Fund.

Ensemble detection of hand joint ankylosis and subluxation in radiographic images using deep neural networks

The modified total Sharp score (mTSS) is often used as an evaluation index for joint destruction caused by rheumatoid arthritis. In this study, special findings (ankylosis, subluxation, and dislocation) are detected to estimate the efficacy of mTSS by using deep neural networks (DNNs). The proposed method detects and classifies finger joint regions using an ensemble mechanism. This integrates multiple DNN detection models, specifically single shot multibox detectors, using different training data for each special finding. For the learning phase, we prepared a total of 260 hand X-ray images, in which proximal interphalangeal (PIP) and metacarpophalangeal (MP) joints were annotated with mTSS by skilled rheumatologists and radiologists. We evaluated our model using five-fold cross-validation. The proposed model produced a higher detection accuracy, recall, precision, specificity, F-value, and intersection over union than individual detection models for both ankylosis and subluxation detection, with a detection rate above 99.8% for the MP and PIP joint regions. Our future research will aim at the development of an automatic diagnosis system that uses the proposed mTSS model to estimate the erosion and joint space narrowing score.

Implementable assay for monitoring minimum residual disease after radical treatment for colorectal cancer

Considering the cost and invasiveness of monitoring postoperative minimal residual disease (MRD) of colorectal cancer (CRC) after adjuvant chemoradiotherapy (ACT), we developed a favorable approach based on methylated circulating tumor DNA to detect MRD after radical resection. Analyzing the public database, we identified the methylated promoter regions of the genes FGD5, GPC6, and MSC. Using digital polymerase chain reaction (dPCR), we termed the "amplicon of methylated sites using a specific enzyme" assay as "AMUSE." We examined 180 and 114 pre- and postoperative serial plasma samples from 28 recurrent and 19 recurrence-free pathological stage III CRC patients, respectively. The results showed 22 AMUSE-positive of 28 recurrent patients (sensitivity, 78.6%) and 17 AMUSE-negative of 19 recurrence-free patients (specificity, 89.5%). AMUSE predicted recurrence 208 days before conventional diagnosis using radiological imaging. Regarding ACT evaluation by the reactive response, 19 AMUSE-positive patients during their second or third blood samples showed a significantly poorer prognosis than the other patients (p = 9E-04). The AMUSE assay stratified four groups by the altered patterns of tumor burden postoperatively. Interestingly, only 34.8% of cases tested AMUSE-negative during ACT treatment, indicating eligibility for ACT. The AMUSE assay addresses the clinical need for accurate MRD monitoring with universal applicability, minimal invasiveness, and cost-effectiveness, thereby enabling the timely detection of recurrences. This assay can effectively evaluate the efficacy of ACT in patients with stage III CRC following curative resection. Our study strongly recommends reevaluating the clinical application of ACT using the AMUSE assay.

Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms

Anthracyclines can cause cancer therapy-related cardiac dysfunction (CTRCD) that adversely affects prognosis. Despite guideline recommendations, only half of the patients undergo surveillance echocardiograms. An AI model detecting reduced left ventricular ejection fraction from 12-lead electrocardiograms (ECG) (AI-EF model) suggests ECG features reflect left ventricular pathophysiology. We hypothesized that AI could predict CTRCD from baseline ECG, leveraging the AI-EF model's insights, and developed the AI-CTRCD model using transfer learning on the AI-EF model. In 1011 anthracycline-treated patients, 8.7% experienced CTRCD. High AI-CTRCD scores indicated elevated CTRCD risk (hazard ratio (HR), 2.66; 95% CI 1.73-4.10; log-rank p < 0.001). This remained consistent after adjusting for risk factors (adjusted HR, 2.57; 95% CI 1.62-4.10; p < 0.001). AI-CTRCD score enhanced prediction beyond known factors (time-dependent AUC for 2 years: 0.78 with AI-CTRCD score vs. 0.74 without; p = 0.005). In conclusion, the AI model robustly stratified CTRCD risk from baseline ECG.

Tumor suppressive role of the epigenetic master regulator BRD3 in colorectal cancer

Bromodomain and extraterminal domain (BET) family proteins are epigenetic master regulators of gene expression via recognition of acetylated histones and recruitment of transcription factors and co-activators to chromatin. Hence, BET family proteins have emerged as promising therapeutic targets in cancer. In this study, we examined the functional role of bromodomain containing 3 (BRD3), a BET family protein, in colorectal cancer (CRC). In vitro and vivo analyses using BRD3-knockdown or BRD3-overexpressing CRC cells showed that BRD3 suppressed tumor growth and cell cycle G1/S transition and induced p21 expression. Clinical analysis of CRC datasets from our hospital or The Cancer Genome Atlas revealed that BET family genes, including BRD3, were overexpressed in tumor tissues. In immunohistochemical analyses, BRD3 was observed mainly in the nucleus of CRC cells. According to single-cell RNA sequencing in untreated CRC tissues, BRD3 was highly expressed in malignant epithelial cells, and cell cycle checkpoint-related pathways were enriched in the epithelial cells with high BRD3 expression. Spatial transcriptomic and single-cell RNA sequencing analyses of CRC tissues showed that BRD3 expression was positively associated with high p21 expression. Furthermore, overexpression of BRD3 combined with knockdown of, a driver gene in the BRD family, showed strong inhibition of CRC cells in vitro. In conclusion, we demonstrated a novel tumor suppressive role of BRD3 that inhibits tumor growth by cell cycle inhibition in part via induction of p21 expression. BRD3 activation might be a novel therapeutic approach for CRC.

Proximity labeling and identification of endogenous client proteins recruited to Y15-based artificial granules tethering a bait protein

Protein clustering is a ubiquitous event in diverse cellular processes. Self-association of proteins triggers recruitment of downstream proteins to regulate cellular signaling. To investigate the interactions in detail, chemical biology tools to identify proteins recruited to defined assemblies are required. Here, we exploit an identification of proteins recruited in artificial granules (IPRAG) platform that combines intracellular Y15-based supramolecule construction with a proximity labeling method. We validated the IPRAG tool using Nck1 as a target bait protein. We constructed Nck1-tethering granules, labeled the recruited proteins with biotin, and analyzed them by LC-MS/MS. As a result, we successfully identified proteins that directly or indirectly interact with Nck1.

Pre-existing Interstitial Lung Abnormalities and Immune Checkpoint Inhibitor-Related Pneumonitis in Solid Tumors: A Retrospective Analysis

BACKGROUND

Immune checkpoint inhibitors (ICIs) have demonstrated efficacy over previous cytotoxic chemotherapies in clinical trials among various tumors. Despite their favorable outcomes, they are associated with a unique set of toxicities termed as immune-related adverse events (irAEs). Among the toxicities, ICI-related pneumonitis has poor outcomes with little understanding of its risk factors. This retrospective study aimed to investigate whether pre-existing interstitial lung abnormality (ILA) is a potential risk factor for ICI-related pneumonitis.

MATERIALS AND METHODS

Patients with non-small cell lung cancer, malignant melanoma, renal cell carcinoma, and gastric cancer, who was administered either nivolumab, pembrolizumab, or atezolizumab between September 2014 and January 2019 were retrospectively reviewed. Information on baseline characteristics, computed tomography findings before administration of ICIs, clinical outcomes, and irAEs were collected from their medical records. Pre-existing ILA was categorized based on previous studies.

RESULTS

Two-hundred-nine patients with a median age of 68 years were included and 23 (11.0%) developed ICI-related pneumonitis. While smoking history and ICI agents were associated with ICI-related pneumonitis (P = .005 and .044, respectively), the categories of ILA were not associated with ICI-related pneumonitis (P = .428). None of the features of lung abnormalities were also associated with ICI-related pneumonitis. Multivariate logistic analysis indicated that smoking history was the only significant predictor of ICI-related pneumonitis (P = .028).

CONCLUSION

This retrospective study did not demonstrate statistically significant association between pre-existing ILA and ICI-related pneumonitis, nor an association between radiologic features of ILA and ICI-related pneumonitis. Smoking history was independently associated with ICI-related pneumonitis. Further research is warranted for further understanding of the risk factors of ICI-related pneumonitis.

Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial

BACKGROUND

Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial.

METHODS

EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110.

FINDINGS

Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001).

INTERPRETATION

Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor.

FUNDING

Boehringer Ingelheim and Eli Lilly.

Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial

BACKGROUND

The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population.

METHODS

EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110.

FINDINGS

Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1).

INTERPRETATION

In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease.

FUNDING

Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.

Improvement of Ionization Efficiency and Application of Structural Analysis for MALDI-TOFMS by Derivatization of Polyacrylic Acid

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) is a suitable method for polymer analysis. MALDI is a soft ionization technique that can generate mainly singly charged ions. Therefore, the polymer's molecular weight distribution is easy to analyze, facilitating the calculation of the number average molecular weight and weight average molecular weight and polydispersity. However, there are polymers that are difficult to detect by MALDI-TOFMS. For example, polyacrylic acid includes carboxylic acid in the main chain, which is difficult to measure due to its low ionization efficiency. As a solution, the ionization efficiency was improved by methylation. In this technical report, we introduce a method to utilize derivatization to determine the degree of polymerization by accurate mass spectrometry (MS). Furthermore, the structures of both ends of the polymers were estimated by tandem time-of-flight MS.

Successful multidisciplinary treatment with complete response to atezolizumab plus bevacizumab in a 90-year-old patient with hepatocellular carcinoma recurrence

Atezolizumab plus bevacizumab is the first-line regimen in Japan for hepatocellular carcinoma following the results of the IMbrave 150 trial. However, the safety and efficiency of atezolizumab plus bevacizumab in older patients, especially in the oldest-old patients aged over 80 years, have not been thoroughly studied and is still controversial. Eighteen months ago, a 90-year-old woman underwent a laparoscopic hepatectomy (S6) for her primary hepatocellular carcinoma (S6, 2 cm). Nine months after the first surgery, she received transcatheter arterial chemoembolization treatment for solitary hepatocellular carcinoma recurrence (S8, 2 cm). The subsequent recurrence (S3, 1 cm; S5, 2 cm; S8, 1 cm) was uncovered by radiological assessment 1 year after transcatheter arterial chemoembolization treatment. We then initiated chemotherapy treatment with lenvatinib at 8 mg daily. Despite reducing the lenvatinib dosage, the adverse event of severe fatigue and asitia did not resolve; therefore, the regimen of atezolizumab + bevacizumab combination therapy was changed to be started. After the first 2 months, tumor regression was observed on computed tomography; the patient tolerated the atezolizumab + bevacizumab combination regimen over 8 months for 10 cycles without any adverse effects. She finally showed a complete response; no recurrence developed 1 year after the complete response. Therefore, older adult patients may benefit highly from atezolizumab plus bevacizumab with appropriate patient selection.

Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study

Background

Atrial septal defect (ASD) increases the risk of adverse cardiovascular outcomes. Despite the potential for risk mitigation through minimally invasive percutaneous closure, ASD remains underdiagnosed due to subtle symptoms and examination findings. To bridge this diagnostic gap, we propose a novel screening strategy aimed at early detection and enhanced diagnosis through the implementation of a convolutional neural network (CNN) to identify ASD from 12-lead electrocardiography (ECG).

Methods

ECGs were collected from patients with at least one recorded echocardiogram at 3 hospitals from 2 continents (Keio University Hospital from July 2011 to December 2020, Brigham and Women's Hospital from January 2015 to December 2020, and Dokkyo Medical University Saitama Medical Center from January 2010 and December 2021). ECGs from patients with a diagnosis of ASD were labeled as positive cases while the remainder were labeled as negative. ECGs after the closure of ASD were excluded. After randomly splitting the ECGs into 3 datasets (50% derivation, 20% validation, and 30% test) with no patient overlap, a CNN-based model was trained using the derivation datasets from 2 hospitals and was tested on held-out datasets along with an external validation on the 3rd hospital. All eligible ECGs were used for derivation and validation whereas the earliest ECG for each patient was used for the test and external validation. The discrimination of ASD was assessed by the area under the receiver operating characteristic curve (AUROC). Multiple subgroups were examined to identify any heterogeneity.

Findings

A total of 671,201 ECGs from 80,947 patients were collected from the 3 institutions. The AUROC for detecting ASD was 0.85-0.90 across the 3 hospitals. The subgroup analysis showed excellent performance across various characteristics Screening simulation using the model greatly increased sensitivity from 80.6% to 93.7% at specificity 33.6% when compared to using overt ECG abnormalities.

Interpretation

A CNN-based model using 12-lead ECG successfully identified the presence of ASD with excellent generalizability across institutions from 2 separate continents.

Funding

This work was supported by research grants from JST (JPMJPF2101), JSR corporation, Taiju Life Social Welfare Foundation, Kondou Kinen Medical Foundation, Research fund of Mitsukoshi health and welfare foundation, Tokai University School of Medicine Project Research and Internal Medicine Project Research, Secom Science and Technology Foundation, and Grants from AMED (JP23hma922012 and JP23ym0126813). This work was partially supported by One Brave Idea, co-funded by the American Heart Association and Verily with significant support from AstraZeneca and pillar support from Quest Diagnostics.

Abstract 5855: Spatial transcriptomics deciphers the cellular society of advanced colorectal cancer

Introduction: In recent years, single-cell RNA sequencing (scRNA-seq) and high-dimensional spatial transcriptomics (ST-seq) have contributed significantly to our understanding of the tumor microenvironment (TME) in many cancers. This is essential for understanding the tumor-stromal crosstalk. Thus, integrating scRNA-seq data with ST-seq data will facilitate understanding intercellular communication in TMEs.

Material and Method: We performed and combined ST-seq in CRC with public scRNA-seq. And, immunohistochemistry (IHC) (HLA-G, CD68, and SPP1) was performed on 20 CRC surgical specimens collected in our hospital. To verify this, we knocked out H2-M3 (HLA-G in humans) in mouse CRC cell lines (MC-38 cells) using the CRISPR/Cas9 system and examined H2-M3 KO tumor volume in xenograft mouse models.

Results: We identified co-localized cells with CRC cells at the invasive front and those in the center based on the spatial distribution estimated by an analytical pipeline, Cell2location. At the invasive front, CRC cells co-localized more frequently with SPP1+ macrophages than other cells. To dissect the molecular machinery and cell types inducing SPP1+ macrophages, we found ligand activity by another pipeline, NicheNet. The prominent signal to SPP1+ macrophages was mediated by several ligand-receptor pairs including HLA-G- immunoglobulin-like transcript (ILT)2/ILT4. Next, we disclosed the effect on CD8+ cells, and SPP1+ macrophages secrete IL-10 suppressing the immune activity of CD8+ T cells. And the ratio of HLA-G-positive cancer cells was predominantly higher in areas with more SPP1+ macrophages by IHC in CRC. In vivo analysis, H2-M3 KO reduced CRC tumor volume and tumor tissue from H2-M3 KO cells exhibited higher SPP1 and CD68 staining compared with wild type cells.

Conclusion: SPP1+ macrophages and cancer cells secreting high levels of HLA-G may represent targets to improve the prognosis of patients with CRC. Further analysis is currently underway with a focus on early-stage cancer in carcinoma in adenoma.

Citation Format: Masahiro Hashimoto, Yuki Ozato, Yusuke Nakano, Tadashi Abe, Yuichi Hisamastu, Takeo Toshima, Yusuke Yonemura, Mamoru Uemura, Takaaki Masuda, Hirofumi Yamamoto, Masaki Mori, Hidetoshi Eguchi, Yuichiro Doki, Koshi Mimori. Spatial transcriptomics deciphers the cellular society of advanced colorectal cancer [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 5855.

Abstract 101: Convergent genomic diversity and novel oncogenic metabolism in intrahepatic cholangiocarcinoma

Background & Aim: Intrahepatic cholangiocarcinoma(ICC) accounts for about 5% of all primary liver cancer and is reported to be common in Southeast Asia and parts of Chile, but in recent years it has been increasing in other areas including Europe and the United States. ICC leads to a dismal outcome as the commonly used chemotherapy exhibit purely palliative effects on ICC, enabling only a limited improvement in survival until today. As ICC harbors few actionable target genes with inter-tumor genomic heterogeneity, ICC is considered to be one of the most intractable malignancies of all. Therefore, we implemented the multi-omics analysis especially with comprehension of the oncogenic metabolic changes to confer new treatment strategies. This study aims to unravel the evolution of ICC and identify ICC-specific metabolic pathways and essential targets for eradicating ICC.

Approach: We collected 12 primary ICC cases and 77 specimens and conducted a multi-omics approach, including genomics, transcriptomics, proteomics, and metabolomics for each material.

Results: We demonstrated that intra-tumoral heterogeneity of ICCs with distinct driver genes per case indicates a “neutral evolution manner”, regardless of their tumor stage. Upregulation of BCAT1 and BCAT2 might enrich the ‘branched-chain amino acids (BCAA), such as Val, Leu, and Ile degradation pathway’. ICCs cases with the accumulated ubiquitous metabolites, BCAA exhibited poorer prognosis than those cases without BCAA accumulation significantly.

Conclusions: Regardless of the inter-tumor heterogeneity in genomic aberrations among ICC cases, we discovered the ubiquitous enrichment of the BCAA metabolic pathway in each tumor. We propose a novel ICC onco-metabolic pathway that could enable the development of new therapeutic interventions.

Citation Format: Yusuke Nakano, Akihiro Kitagawa, Masahiro Hashimoto, Tadashi Abe, Yuichi Hisamatsu, Takeo Toshima, Yusuke Yonemura, Takaaki Masuda, Akira Inoue, Hidetoshi Eguchi, Yuichiro Doki, Koshi Mimori. Convergent genomic diversity and novel oncogenic metabolism in intrahepatic 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 101.

Increasing the siRNA knockdown efficiency of lipid nanoparticles by morphological transformation with the use of dihydrosphingomyelin as a helper lipid

Lipid nanoparticles (LNPs), comprising ionizable lipids, helper lipids, cholesterol, and PEG lipids, can act as delivery carriers for nucleic acids and have achieved clinical success in the delivery of siRNA and mRNA. It has been shown that the morphology of LNPs varies depending on their lipid composition, but the influence of their morphology on nucleic acid efficacy has not been fully elucidated. In this study, we used our previously developed novel lipid, dioleoylglycerophosphate-diethylenediamine conjugate (DOP-DEDA), to create pH-responsive LNPs (DOP-DEDA LNPs). We evaluated the morphology of DOP-DEDA LNPs composed of different helper lipids and the knockdown efficiency of small interfering RNA (siRNA). A distinctive difference in morphology was observed between DOP-DEDA LNPs of different helper lipids. Significant differences were also observed in the apparent pK_a of DOP-DEDA LNPs and the knockdown efficiency of siRNA, which may be due to the difference in the localization of DOP-DEDA molecules in DOP-DEDA LNPs. These findings suggest that changing helper lipids alters the morphology of the DOP-DEDA LNP system, which affects the apparent pK_a and knockdown efficiency of siRNA.

Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction

We propose a wrist joint subluxation/ankylosis classification model for an automatic radiographic scoring system for X-ray images. In managing rheumatoid arthritis, the evaluation of joint destruction is important. The modified total Sharp score (mTSS), which is conventionally used to evaluate joint destruction of the hands and feet, should ideally be automated because the required time depends on the skill of the evaluator, and there is variability between evaluators. Since joint subluxation and ankylosis are given a large score in mTSS, we aimed to estimate subluxation and ankylosis using a deep neural network as a first step in developing an automatic radiographic scoring system for joint destruction. We randomly extracted 216 hand X-ray images from an electronic medical record system for the learning experiments. These images were acquired from patients who visited the rheumatology department of Keio University Hospital in 2015. Using our newly developed annotation tool, well-trained rheumatologists and radiologists labeled the mTSS to the wrist, metacarpal phalangeal joints, and proximal interphalangeal joints included in the images. We identified 21 X-ray images containing one or more subluxation joints and 42 X-ray images with ankylosis. To predict subluxation/ankylosis, we conducted five-fold cross-validation with deep neural network models: AlexNet, ResNet, DenseNet, and Vision Transformer. The best performance on wrist subluxation/ankylosis classification was as follows: accuracy, precision, recall, F1 value, and AUC were 0.97±0.01/0.89±0.04, 0.92±0.12/0.77±0.15, 0.77±0.16/0.71±0.13, 0.82±0.11/0.72±0.09, and 0.92±0.08/0.85±0.07, respectively. The classification model based on a deep neural network was trained with a relatively small dataset; however, it showed good accuracy. In conclusion, we provided data collection and model training schemes for mTSS prediction and showed an important contribution to building an automated scoring system.

Diagnostic Value of the Vesical Imaging-Reporting and Data System in Bladder Urothelial Carcinoma with Variant Histology

The value of the Vesicle Imaging-Reporting and Data System (VI-RADS) in the diagnosis of muscle-invasive bladder cancer (MIBC) for urothelial carcinoma with variant histology (VUC) remains unknown. We retrospectively evaluated 360 consecutive patients with bladder cancer (255 pure urothelial carcinoma [PUC] and 69 VUC) who underwent multiparametric magnetic resonance imaging between 2011 and 2019. VI-RADS scores assigned by four readers were significantly higher for the VUC group than for the PUC group (p < 0.05). In the cohort of 122 pair-matched patients, there was no significant difference in VI-RADS score distribution between the PUC and VUC groups for all readers (p > 0.05). The area under the receiver operating characteristic curve for MIBC diagnosis via overall VI-RADS score was 0.93-0.94 for PUC and 0.89-0.92 for VUC, with no significant difference between the PUC and VUC groups (p = 0.32-0.60). These data suggests that VI-RADS scores achieved high diagnostic performance for detection of muscle invasion in both PUC and VUC. PATIENT SUMMARY: The Vesical Imaging-Reporting and Data System (VI-RADS) is a standardized system for reporting on detection of muscle-invasive bladder cancer via magnetic resonance imaging (MRI) scans. Our study shows that VI-RADS is also highly accurate for diagnosis for different variants of muscle-invasive bladder cancer, with good inter-reader agreement.

Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis

PURPOSE

To evaluate the performance of a deep learning-based computer-aided detection (CAD) software for detecting pulmonary nodules, masses, and consolidation on chest radiographs (CRs) and to examine the effect of readers' experience and data characteristics on the sensitivity and final diagnosis.

MATERIALS AND METHODS

The CRs of 453 patients were retrospectively selected from two institutions. Among these CRs, 60 images with abnormal findings (pulmonary nodules, masses, and consolidation) and 140 without abnormal findings were randomly selected for sequential observer-performance testing. In the test, 12 readers (three radiologists, three pulmonologists, three non-pulmonology physicians, and three junior residents) interpreted 200 images with and without CAD, and the findings were compared. Weighted alternative free-response receiver operating characteristic (wAFROC) figure of merit (FOM) was used to analyze observer performance. The lesions that readers initially missed but CAD detected were stratified by anatomic location and degree of subtlety, and the adoption rate was calculated. Fisher's exact test was used for comparison.

RESULTS

The mean wAFROC FOM score of the 12 readers significantly improved from 0.746 to 0.810 with software assistance (P = 0.007). In the reader group with < 6 years of experience, the mean FOM score significantly improved from 0.680 to 0.779 (P = 0.011), while that in the reader group with ≥ 6 years of experience increased from 0.811 to 0.841 (P = 0.12). The sensitivity of the CAD software and the adoption rate for the lesions with subtlety level 2 or 3 (obscure) lesions were significantly lower than for level 4 or 5 (distinct) lesions (50% vs. 93%, P < 0.001; and 55% vs. 74%, P = 0.04, respectively).

CONCLUSION

CAD software use improved doctors' performance in detecting nodules/masses and consolidation on CRs, particularly for non-expert doctors, by preventing doctors from missing distinct lesions rather than helping them to detect obscure lesions.

Attention induction for a CT volume classification of COVID-19

PURPOSE

This study proposes a method to draw attention toward the specific radiological findings of coronavirus disease 2019 (COVID-19) in CT images, such as bilaterality of ground glass opacity (GGO) and/or consolidation, in order to improve the classification accuracy of input CT images.

METHODS

We propose an induction mask that combines a similarity and a bilateral mask. A similarity mask guides attention to regions with similar appearances, and a bilateral mask induces attention to the opposite side of the lung to capture bilaterally distributed lesions. An induction mask for pleural effusion is also proposed in this study. ResNet18 with nonlocal blocks was trained by minimizing the loss function defined by the induction mask.

RESULTS

The four-class classification accuracy of the CT images of 1504 cases was 0.6443, where class 1 was the typical appearance of COVID-19 pneumonia, class 2 was the indeterminate appearance of COVID-19 pneumonia, class 3 was the atypical appearance of COVID-19 pneumonia, and class 4 was negative for pneumonia. The four classes were divided into two subgroups. The accuracy of COVID-19 and pneumonia classifications was evaluated, which were 0.8205 and 0.8604, respectively. The accuracy of the four-class and COVID-19 classifications improved when attention was paid to pleural effusion.

CONCLUSION

The proposed attention induction method was effective for the classification of CT images of COVID-19 patients. Improvement of the classification accuracy of class 3 by focusing on features specific to the class remains a topic for future work.

Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning

This study presents a novel framework for classifying and visualizing pneumonia induced by COVID-19 from CT images. Although many image classification methods using deep learning have been proposed, in the case of medical image fields, standard classification methods are unable to be used in some cases because the medical images that belong to the same category vary depending on the progression of the symptoms and the size of the inflamed area. In addition, it is essential that the models used be transparent and explainable, allowing health care providers to trust the models and avoid mistakes. In this study, we propose a classification method using contrastive learning and an attention mechanism. Contrastive learning is able to close the distance for images of the same category and generate a better feature space for classification. An attention mechanism is able to emphasize an important area in the image and visualize the location related to classification. Through experiments conducted on two-types of classification using a three-fold cross validation, we confirmed that the classification accuracy was significantly improved; in addition, a detailed visual explanation was achieved comparison with conventional methods.

AB0653 The association of autoantibodies with morbidity and mortality of scleroderma renal crisis in Japan

Background

The morbidity of scleroderma renal crisis (SRC) and autoantibodies in systemic sclerosis (SSc) vary by races and regions. Anti-RNA polymerase III is associated with SRC in America and European countries. However, the association of autoantibodies with SRC had not been elucidated in Japan.

Objectives

We aimed to investigate the association of autoantibodies with morbidity and mortality of SRC in Japan.

Methods

The clinical characteristics and mortality of 330 patients with systemic sclerosis (SSc) at Kyoto University Hospital were retrospectively analyzed, focusing on anti-centromere, anti-RNA polymerase III, anti-topoisomerase I, and anti-U1-RNP. Logistic regression analyses were performed to examine the association of autoantibodies with the development and mortality of SRC. Kaplan-Meier survival analysis was performed comparing the groups classified by autoantibodies.

Results

Anti-centromere (n = 177/318, 56%), anti-topoisomerase I (n = 80/311, 26%), anti-RNA polymerase III (n = 27/204, 13%), and anti-U1-RNP (n = 24/305, 8%) were found in SSc patients (n = 330). SRC was observed in 24 out of 330 SSc patients, including anti-topoisomerase I (n = 12/24, 50%), anti-RNA polymerase III (n = 7/24, 29%), anti-U1-RNP (n = 5/24, 21%), and anti-centromere (n = 3/24, 13%). Anti-U1-RNP (odds ratio [95% confidence interval], 3.63 [1.11–10.2]), anti-RNA polymerase III (3.29 [1.16–8.70]), and anti-topoisomerase I (3.22 [1.37–7.57]) were associated with the development of SRC. All patients with SRC were treated with ACE inhibitors and the 1-year survival rate was 54%. Anti-topoisomerase I was associated with the 1-year mortality of SRC (6.00 [1.11–41.1]). When the survival rate was compared between the patients positive for anti-topoisomerase I (n=12) and negative for anti-topoisomerase I (n=12), the 1-year survival rate was 33% vs 75% (p=0.041), respectively (Figure 1A). Furthermore, the 1-year survival of anti-centromere (100%), anti-RNA polymerase III (83%), and others/not detected (50%) were shown in patients negative for anti-topoisomerase I (Figure 1B).

Figure 1.

Overall survival of patients with SRC according to the type of autoantibodies.

(A) The survival rates in SRC patients who were positive for anti-topoisomerase I (solid line, n = 12) and those who were negative for anti-topoisomerase I (dotted line, n = 12).

(B) SRC patients negative for anti-topoisomerase I were classified as patients with anti-RNA polymerase III (dotted line, n = 6), anti-centromere (broken line, n = 2), and others/not detected (chain line, n = 4).

Conclusion

Specific SSc-related autoantibodies were associated with the morbidity and mortality in SRC.

References

[1]Nihtyanova SI, et al. Arthritis Rheumatol 2020;72(3):465-76.

[2]Hamaguchi Y, et al. Arthritis Rheumatol 2015;67(4):1045-52.

Table 1.

Univariate logistic regression analysis for mortality in SRC (n = 24).

VariablesOdds ratio (95% CI)P valueAge1.07 (0.99, 1.16)0.08Female sex3.00 (0.32, 66.6)0.38Diffuse/limited (diffuse %)0.25 (0.04, 1.36)0.12BMI0.67 (0.41, 0.93)0.049Modified Rodnan skin score0.95 (0.88, 1.02)0.15Digital ulcer0.52 (0.10, 2.63)0.43Reflux esophagitis0.60 (0.02, 17.1)0.73Pulmonary hypertension7.50 (1.17, 69.2)0.046Pleural effusion7.20 (1.23, 62.0)0.04Glucocorticoid use3.86 (0.65, 32.4)0.16Hemoglobin0.55 (0.25, 1.01)0.09Platelet1.00 (0.98, 1.01)0.44Total protein0.17 (0.02, 0.69)0.04Creatinine0.95 (0.67, 1.24)0.69CRP0.90 (0.67, 1.17)0.46Anti-topoisomerase I6.00 (1.11, 41.1)0.048Anti-centromere7.4x10-9 (--, 0.93)1.00Anti-RNA polymerase III0.36 (0.04, 2.18)0.29Anti-U1-RNP0.74 (0.08, 5.49)0.77

Disclosure of Interests

None declared

POS0532 DRUG RETENTION OF BIOLOGICS OR JAK INHIBITORS IN PATIENTS WITH DIFFICULT-TO-TREAT RHEUMATOID ARTHRITIS: RESULTS FROM THE ANSWER COHORT

Background

Difficult-to-treat rheumatoid arthritis (D2T RA) is defined as RA in which disease activity is uncontrolled despite the use of two or more biologics or Janus kinase inhibitors (JAKi) with different mechanisms of action (MOA).

Objectives

To explore the optimal treatment strategy for D2T RA, we evaluated the drug retention, efficacy, and reasons for discontinuation of biologics or JAKi used for patients with D2T RA in a longitudinal multicenter cohort.

Methods

RA patients with clinical disease activity index (CDAI) >10 despite the use of at least two biologics or JAKi with different MOA and further treated with biologics or JAKi were included. The drug retention rates of biologics (TNFi, IL-6Ri, and CTLA4-Ig) or JAKi were estimated at 12 months using the Kaplan-Meier method and adjusted for potential confounders (age, sex, disease duration, concomitant MTX and PSL use, and the number of switched biologics or JAKi) using Cox proportional hazards models.

Results

A total of 251 treatment courses (TCs) from 167 patients were included (TNFi: 97 TCs, IL-6Ri: 67 TCs, CTLA4-Ig: 27 TCs, JAKi: 60 TCs). Baseline characteristics showed no difference in age, sex, disease duration, ACPA positivity, CDAI, and concomitant MTX and PSL use between the four groups. Drug retention excluding non-toxic reasons and remission was significantly higher in patients treated with JAKi or IL-6Ri than in patients treated with TNFi or CTLA4-Ig (P=0.00172). Multivariate analysis using Cox proportional hazards models demonstrated that discontinuation of the drug was associated with the use of TNFi or CTLA4-Ig (HR: 3.29, 95%CI: 1.15-9.42, P=0.027) and concomitant PSL use (HR: 1.14, 95%CI: 1.04-1.26, P=0.0084). In terms of disease activity evaluated with CDAI, no difference was observed between the four groups at 3 months (P=0.90), at 6 months (P=0.77), and at 12 months (P=0.75).

Conclusion

In patients with D2T RA, JAKi or IL-6Ri may have treatment advantages compared with TNFi or CTLA4-Ig.

References

[1] EULAR definition of difficult-to-treat rheumatoid arthritis.

Nagy G, Roodenrijs NMT, Welsing PM, Kedves M, Hamar A, van der Goes MC, Kent A, Bakkers M, Blaas E, Senolt L, Szekanecz Z, Choy E, Dougados M, Jacobs JW, Geenen R, Bijlsma HW, Zink A, Aletaha D, Schoneveld L, van Riel P, Gutermann L, Prior Y, Nikiphorou E, Ferraccioli G, Schett G, Hyrich KL, Mueller-Ladner U, Buch MH, McInnes IB, van der Heijde D, van Laar JM.

Ann Rheum Dis. 2021 Jan;80(1):31-35.

[2] Prevalence and predictive factors of difficult-to-treat rheumatoid arthritis: the KURAMA cohort.

Watanabe R, Hashimoto M, Murata K, Murakami K, Tanaka M, Ohmura K, Ito H, Matsuda S.

Immunol Med. 2021 May 25:1-10.

Disclosure of Interests

Ryu Watanabe Speakers bureau: Eli Lilly, Mitsubishi Tanabe, Pfizer, Sanofi, AbbVie, Asahi Kasei, Eisai, Bristol-Myers Squibb, UCB Japan, Chugai, Janssen, Astellas, Nippon Shinyaku, Daiichi Sankyo, Gilead Sciences Japan, and Boehringer ingelheim., Tadashi Okano Speakers bureau: Asahi Kasei, Astellas, Abbvie, Amgen, Ayumi, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead Sciences, Janssen, Kyowa Kirin, Mitsubishi Tanabe, Novartis, Ono, Pfizer, Sanofi, Takeda, UCB, Grant/research support from: Asahi Kasei, Abbvie, Chugai, Eisai, Mitsubishi Tanabe, Shinsuke Yamada: None declared, Wataru Yamamoto: None declared, Koichi Murata Speakers bureau: Eisai Co., Ltd., Chugai Pharmaceutical Co., Ltd.; Asahi Kasei Pharma Corp.; and Mitsubishi Tanabe Pharma Co., and Daiichi Sankyo Co. Ltd., Kosaku Murakami: None declared, Kosuke Ebina Speakers bureau: AbbVie, Amgen, Asahi-Kasei, Astellas, Ayumi, Bristol-Myers Squibb, Chugai, Eisai, Eli Lilly, Janssen, Mitsubishi-Tanabe, Ono Pharmaceutical, Pfizer, Sanofi, and UCB Japan., Grant/research support from: AbbVie, Amgen, Asahi-Kasei, Astellas, Chugai, Eisai, Mitsubishi-Tanabe, Ono Pharmaceutical, Teijin Pharma, and UCB Japan, Yuichi Maeda Speakers bureau: Eli Lilly Japan K.K., Chugai Pharmaceutical Co. Ltd., Pfizer Inc., Bristol Myers Squibb, and Mitsubishi Tanabe Pharma Corporation., Sadao Jinno Speakers bureau: AbbVie G.K., Asahi Kasei Pharma., Bristol-Myers Squibb., Chugai Pharmaceutical Co., Ltd., Eisai Co., Ltd., Eli Lilly Japan K.K., Janssen Pharmaceutical K.K., and Mitsubishi Tanabe Pharma, and Ono Pharmaceutical Co, Iku Shirasugi: None declared, Yonsu Son: None declared, Hideki Amuro Speakers bureau: Chugai Pharmaceutical Co.,Ltd, Masaki Katayama: None declared, Ryota Hara: None declared, Kenichiro Hata Speakers bureau: AbbVie, Asahi-Kasei, Chugai, Janssen, Mitsubishi-Tanabe, Eisai, Ayaka Yoshikawa: None declared, Motomu Hashimoto Grant/research support from: Abbvie, Asahi-Kasei, Brystol-Meyers, Eisai, Eli Lilly, Novartis Pharma.

Effects of Hydrophobic Residues on the Intracellular Self-Assembly of De Novo Designed Peptide Tags and Their Orthogonality

Protein assemblies forming nano- to micro-sized structures underlie versatile biological events in living systems. For mimicking and engineering these protein assemblies through a bottom-up approach, self-assembling peptides (SAPs) that form nanofibril structures via β-sheets serve as potential practical tags. Nevertheless, the development of SAP tags is still in its infancy, and insight into the relationship between peptide sequences and intracellular self-assembly is limited. In this study, we focused on hydrophobic residues in SAPs and examined the self-assembly of SAP-tagged superfolder GFPs (green fluorescent proteins) in COS-7 cells. Based on XEXK (X; hydrophobic amino acids: F, L, I, V, W, or Y) sequence units, we designed a panel of Xn peptides with different hydrophobic residues (X) and chain lengths (n). We observed that the self-assembly propensity, the size of the assemblies, the influence on protein denaturation, and the subcellular localization differed significantly depending on the hydrophobic amino acid. F9, L9, I7, and V13 peptides formed μm-scaled granules, W13 formed small oligomeric clusters in the cytoplasm, and Y15 formed assemblies in the nucleus. In addition, we investigated the orthogonality of their interaction. Strikingly, W13- and Y15-tagged proteins interacted independently and formed two distinct assemblies in cells. Herein, we have demonstrated the great opportunities for rationalizing artificial protein assemblies and orthogonal structures in an intracellular context using the designed SAPs.

Synthetic magnetic resonance imaging for primary prostate cancer evaluation: Diagnostic potential of a non-contrast-enhanced bi-parametric approach enhanced with relaxometry measurements

Purpose

Bi-parametric magnetic resonance imaging (bpMRI) with diffusion-weighted images has wide utility in diagnosing clinically significant prostate cancer (csPCa). However, bpMRI yields more false-negatives for PI-RADS category 3 lesions than multiparametric (mp)MRI with dynamic-contrast-enhanced (DCE)-MRI. We investigated the utility of synthetic MRI with relaxometry maps for bpMRI-based diagnosis of csPCa.

Methods

One hundred and five treatment-naïve patients who underwent mpMRI and synthetic MRI before prostate biopsy for suspected PCa between August 2019 and December 2020 were prospectively included. Three experts and three basic prostate radiologists evaluated the diagnostic performance of conventional bpMRI and synthetic bpMRI for csPCa. PI-RADS version 2.1 category 3 lesions were identified by consensus, and relaxometry measurements (T1-value, T2-value, and proton density [PD]) were performed. The diagnostic performance of relaxometry measurements for PI-RADS category 3 lesions in peripheral zone was compared with that of DCE-MRI. Histopathological evaluation results were used as the reference standard. Statistical analysis was performed using the areas under the receiver operating characteristic curve (AUC) and McNemar test.

Results

In 102 patients without significant MRI artefacts, the diagnostic performance of conventional bpMRI was not significantly different from that of synthetic bpMRI for all readers (p = 0.11–0.79). The AUCs of the combination of T1-value, T2-value, and PD (T1 + T2 + PD) for csPCa in peripheral zone for PI-RADS category 3 lesions were 0.85 for expert and 0.86 for basic radiologists, with no significant difference between T1 + T2 + PD and DCE-MRI for both expert and basic radiologists (p = 0.29–0.45).

Conclusion

Synthetic MRI with relaxometry maps shows promise for contrast media-free evaluation of csPCa.

•

Diagnostic performances of synthetic bpMRI and conventional bpMRI are comparable for primary PCa

•

Diagnostic performance of synthetic MRI variables are similar to that of DCE-MRI for csPCa in PZ

•

Synthetic bpMRI shows potential as a contrast agent-free method for primary PCa

[A Case of Stenosis at the Junction of the Renal Pelvis and Ureter after Laparoscopic Right Hemicolectomy]

A 50s year old woman was referred to former hospital for abdominal pain and melena. Colonoscopy revealed an ascending colon cancer(cT4aN1bM0, cStage Ⅲb, UICC)and gastrointestinal endoscopy revealed an esophagogastric junction cancer(cT1bN0M0, cStage ⅠA, UICC). Preoperative CT showed mild bilateral hydronephrosis. Laparoscopic right hemicolectomy( Lap-RHC, D3)was performed for ascending colon cancer then, and abdominal CT was taken 2 days before the robot-assisted proximal gastrectomy(RAPG, D1+). Right hydronephrosis was observed. No evidence of obvious ureteral damage was found during Lap-RHC. When retrograde pelvic ureterography was performed and a stenosis was found at the right renal pelvis and ureteral junction. It is considered that the ureter stenosis became prominent due to the postoperative inflammatory change of Lap-RHC. RAPG was performed as scheduled. Two months after discharge, a renal fistula was constructed. Pyeloplasty is scheduled to be performed in the future.

A guide-tag system controlling client enrichment into Y15 peptide-based granules for an in-cell protein recruitment assay

Self-assembling peptides (SAPs) are valuable building blocks for the fabrication of artificial supramolecules. We developed a guide-tag system that concentrates client proteins into SAP-based scaffolds in cellular environments at various enrichment levels. This system provides a tool to analyse the protein-protein interactions caused by protein clustering in cells.

Favorable clinical response and drug retention of anti-IL-6 receptor inhibitor in rheumatoid arthritis with high CRP levels: the ANSWER cohort study

OBJECTIVE

Currently, biological disease-modifying anti-rheumatic drugs (bDMARDs) with different modes of action [tumour necrosis factor inhibitor (TNFi), interleukin-6 receptor inhibitor (IL-6Ri), or cytotoxic T-lymphocyte antigen 4-immunoglobulin (CTLA4-Ig)] are used in clinical practice to treat rheumatoid arthritis (RA). However, it is unclear which type of bDMARD is the most efficacious for a specific clinical situation. C-reactive protein (CRP) is an acute-phase reactant driven by IL-6 signalling. Here, we aimed to establish whether therapeutic efficacy differs between IL-6Ri and other bDMARDs with alternative modes of action in RA patients according to their CRP level.

METHOD

RA patients treated with bDMARDs were enrolled from an observational multicentre registry in Japan. Patients were classified into three groups according to baseline CRP tertiles. The overall 3 year retention rates of each bDMARD category were assessed. The Clinical Disease Activity Index (CDAI) was also assessed before and 3, 6, and 12 months after bDMARD initiation.

RESULTS

A total of 1438 RA patients were included and classified into three groups according to tertiles of baseline CRP levels (CRP¹, 0-0.3; CRP², 0.3-1.8; CRP³, 1.8-18.4 mg/dL). In CRP³, the overall 3 year drug retention rates were significantly higher for IL-6Ri than for TNFi and CTLA4-Ig (77.5 vs 48.2 vs 67.3, respectively). No significant difference was evident in terms of CDAI 12 months after bDMARD initiation in CRP¹-CRP³.

CONCLUSION

IL-6Ri may be a favourable therapeutic option over TNFi and CTLA4-Ig in RA patients with high CRP levels.

Radiomics analysis of myocardial perfusion SPECT images in patients with cardiomyopathy and heart failure

Funding Acknowledgements

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): JSPS KAKENHI Grants

Background

Although myocardial perfusion heterogeneity due to focally damaged cardiomyocytes is observed in single−photon emission computed tomography (SPECT) imaging, a current perfusion defect scoring system does not allow us to provide sufficient diagnostic information for heterogeneity.

Purpose

The aim of this study was to perform radiomics analysis of myocardial perfusion SPECT (MPS) images to investigate the potential to detect myocardial perfusion heterogeneity.

Methods

Patients with hypertrophic cardiomyopathy (n = 3), heart failure (n = 9), and with a low likelihood of coronary artery disease (n =15) (Figure 1), who underwent a rest 99mTc-MIBI myocardial perfusion SPECT, were assessed using a LIFEx software. Four shape−based features, 6 histogram−based features, and 32 textural features were computed. The relevant features for the classification of the patients were selected using the Boruta algorithm, and hierarchical clustering of the selected features using the Spearman correlation coefficient was also performed for the feature reduction. The receiver operating characteristics (ROC) analysis was performed by the support vector machine to calculate the area under the ROC curve (AUC) for the selected features.

Results

Of 40 features, 17 were selected by the classification analysis, and these features were classified into 7 classes by the correlation analysis (Figure 2). The ROC AUCs for 7 features extracted from each class were 0.99, 0.97, 0.96, 0.92, 0.90, 0.86, and 0.83 for the contrast of NDGLDM, the entropy of histogram, ZLNU of GLZLM, the energy of GLCM, the energy of histogram, SZLGE of GLZLM, and the correlation of GLCM, respectively, as compared to 0.39 for a summed rest score.

Conclusions

Radiomics analysis successfully determined the myocardial perfusion heterogeneity in patients with cardiomyopathy and heart failure. It might be promising for the evaluation of myocardial damages that cannot be analyzed by the conventional scoring method.

Intracellular artificial supramolecules based on de novo designed Y15 peptides

De novo designed self-assembling peptides (SAPs) are promising building blocks of supramolecular biomaterials, which can fulfill a wide range of applications, such as scaffolds for tissue culture, three-dimensional cell culture, and vaccine adjuvants. Nevertheless, the use of SAPs in intracellular spaces has mostly been unexplored. Here, we report a self-assembling peptide, Y15 (YEYKYEYKYEYKYEY), which readily forms β-sheet structures to facilitate bottom-up synthesis of functional protein assemblies in living cells. Superfolder green fluorescent protein (sfGFP) fused to Y15 assembles into fibrils and is observed as fluorescent puncta in mammalian cells. Y15 self-assembly is validated by fluorescence anisotropy and pull-down assays. By using the Y15 platform, we demonstrate intracellular reconstitution of Nck assembly, a Src-homology 2 and 3 domain-containing adaptor protein. The artificial clusters of Nck induce N-WASP (neural Wiskott-Aldrich syndrome protein)-mediated actin polymerization, and the functional importance of Nck domain valency and density is evaluated.

POS0345 CLINICOGENETIC STUDY OF FIVE NOVEL SUSCEPTIBILITY LOCI FOR TAKAYASU ARTERITIS: SUSCEPTIBILITY LOCI IN THE IL12B AND PTK2B REGION, BUT NOT THE LILRA3, DUSP22, KLHL33 REGIONS, ARE ASSOCIATED WITH VASCULAR DAMAGE IN TAKAYASU ARTERITIS

Background:

We have previously identified single nucleotide polymorphism (SNP) rs6871626 in IL12B, rs103294 in LILRA3, rs17133698 in DUSP22, rs2322599 in PTK2B, and rs1713450 in KLHL33 as non-HLA susceptibility loci in Takayasu arteritis (TAK) [1, 2]. However, the association of these SNPs with clinical features has scarcely investigated.

Objectives:

In this study, we aimed to examine how these SNPs contribute to clinical features and vascular damage in TAK.

Methods:

We enrolled 99 TAK patients who were enrolled in our previous genome-wide association study (GWAS) [2]. To assess vascular damage, Takayasu Arteritis Damage Score (TADS) and Vasculitis Damage Index (VDI) were measured at the last visit before November 2020. As for organ damages, the presence or absence of aortic regurgitation (AR), hypertension, ischemic heart disease, cerebrovascular event, visual loss, end-stage renal failure, and inflammatory bowel disease were evaluated. Treatment profiles including immunosuppressive drugs and vascular interventions were also reviewed.

Results:

The incidence of AR was positively associated with the risk allele of IL12B rs6871626 (p=0.0052; odds ratio (OR) 2.45, 95% confidence interval (CI) 1.27-4.73), and so was the proportion of patients who underwent aortic valve replacement (p=0.023; OR 3.64, 95% CI 1.08-12.24) (table 1). The incidence of hypertension was associated with the risk allele of IL12B rs6871626 (p=0.049; OR 1.82, 95% CI 0.99-3.36) and PTK2B rs2322599 (p=0.044; OR 2.52, 95% CI 0.97-6.54) (table 1). The proportion of biologic users tended to be higher in the risk genotypes of IL12B rs6871626 (p=0.15; OR1.80, 95% CI 0.79-3.99). Regarding vascular damage, there was positive correlation between TADS and the risk allele of IL12B rs6871626 (p=0.0035; β= 1.35) (Figure 1). Moreover, VDI was also positively correlated with the allele (p=0.0054; β= 0.96) (Figure 1). No other clinicogenetic associations were observed between five SNPs and vasculitis-associated damages.

Table 1.

The association of the five SNPs with aortic regurgitation and hypertension

Aortic regurgitationHypertensionOR (95% CI)p valueOR (95% CI)p valueIL12B rs68716262.45 (1.27-4.73)0.0052*1.82 (0.99-3.36)0.049*PTK2B rs23225991.21 (0.51-2.86)0.672.51 (0.97-6.54)0.044*LILRA3 rs1032941.16 (0.52-2.61)0.711.20 (0.55-1.64)0.64DUSP22 rs171336980.56 (0.28-1.13)0.0900.87 (0.46-1.63)0.66KLHL33 rs17134500.89 (0.42-1.91)0.771.48 (0.68-3.22)0.31

SNP, single nucleotide polymorphism; OR, odds ratio; CI, confidence interval

Conclusion:

In the present study, IL12B rs6871626 was closely correlated with vascular damage. We also found association between PTK2B rs2322599 and hypertension. There was no significant relevance between vascular damage and LILRA3 rs103294, DUSP22 rs17133698, or KLHL33 rs1713450.

References:

[1]Terao C et al. Am J Hum Genet. 2013;93(2):289-97.

[2]Terao C et al. Proc Natl Acad Sci U S A. 2018;115(51):13045-50.

Disclosure of Interests:

Keiichiro Kadoba: None declared, Ryu Watanabe Speakers bureau: I have received speaker’s fee from Mitsubishi Tanabe Pharma, Pfizer, Sanofi, AbbVie, Asahi Kasei, Eisai, Eli Lilly, Bristol-Myers Squibb, and Janssen., Takeshi Iwasaki: None declared, Koji Kitagori Grant/research support from: KK has received research grants from GlaxoSmithKline., Syuji Akizuki: None declared, Kosaku Murakami Speakers bureau: I have received speaking fees from Eisai Co. Ltd, Chugai Pharmaceutical Co. Ltd., Pfizer Inc., Bristol-Myers Squibb, Mitsubishi Tanabe Pharma Corporation, UCB Japan Co. Ltd, Daiichi Sankyo Co. Ltd. and Astellas Pharma Inc., Ran Nakashima: None declared, Motomu Hashimoto Speakers bureau: I have received a research grant and/or speaker fee from Bristol-Myers, Eisai, Ely Lilly, Mitsubishi Tanabe Pharma., Grant/research support from: I have received a research grant and/or speaker fee from Bristol-Myers, Eisai, Ely Lilly, Mitsubishi Tanabe Pharma., Masao Tanaka Speakers bureau: I have received research grants and/or speaker fees from AbbVie GK, Asahi Kasei Pharma Corporation, Astellas Pharma Inc., Bristol-Myers Squibb, Chugai Pharmaceutical Co., Ltd., Eisai Co., Ltd., Eli Lilly and Company, Pfizer Inc., UCB Japan Co., Ltd., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Corporation, Novartis Pharma K.K., Taisho Pharma Co., Ltd, and Takeda Pharmaceutical Company Limited., Koichiro Ohmura Speakers bureau: I have received speaker’s fee from Abbvie, Actelion, Asahikasei Pharma, Astellas, AYUMI, Bristol-Myers Squibb, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, GSK, Janssen, JB, Mitsubishi Tanabe, Nippon Kayaku, Nippon Shinyaku, Novartis, Sanofi and Takeda., Grant/research support from: I have received research grants from GlaxoSmithKline., Akio Morinobu Speakers bureau: I have received speaking fees from Chugai Pharmaceutical Co. Ltd., Grant/research support from: I have received research grants from Chugai Pharmaceutical Co. Ltd., Chikashi Terao: None declared, Hajime Yoshifuji Speakers bureau: I have received lecture fees from Chugai., Consultant of: I have been an advisory board for a clinical trial conducted by Janssen.

POS1482-HPR PAIN CATASTROPHIZING IS ASSOCIATED WITH RESIDUAL PAIN AFTER REACHING IMPROVED CONDITIONS OF SWOLLEN/TENDER JOINTS AND SERUM C-REACTIVE PROTEIN LEVEL

Background:

It has long been recognized that immune-mediated inflammatory diseases, such as rheumatoid arthritis (RA), are prone to coexist with depression due to the effects of cytokines, and that these two illnesses lead to an elevation in patients’ pain. However, we often encounter patients with RA who suffer from residual pain despite an improvement in disease activity and inflammation. The specific psychological factors associated with residual pain have not yet been clarified. In addition to the traditional psychological factors, such as depression and anxiety, we focused on pain catastrophizing due to the distortion of pain perception and explored its association with residual pain.

Objectives:

To examine whether psychological factors, such as pain catastrophizing, depression, and anxiety, are associated with self-reported pain visual analogue scale (pain-VAS) scores in RA patients with 1 or less on 28joints- swollen/tender counts (SJC/TJC) and CRP.

Methods:

This was a cross-sectional study of 290 RA outpatients (85% of whom were women) with scores of less than 1 on SJC, TJC, and CRP, with a median (IQR) age of 66 (57–73) years. The participants completed questionnaires, including pain VAS (0–100 mm), Pain Catastrophizing Scale (PCS, 0–52 scale), and Hospital Depression and Anxiety Scale (HADS, 0–42 scale). Using linear regression analyses, we analysed whether PC (PCS ≥30), depression (HADS-D ≥11), and anxiety (HADS-A ≥11) (independent variables) were associated with pain VAS scores (dependent variable). After univariate regression analysis, multivariate analysis adjusted for confounding factors was performed.

Results:

Patients reported a wide range of pain severity with a median (range) pain VAS score of 9 (0–96mm). The prevalence of anxiety and depression were 5.5% and 5.9%, respectively. Meanwhile, 24.1% of the patients experienced pain catastrophizing. Pain catastrophizing was associated with pain VAS scores in univariate and multivariate analyses (Table 1). The presence of anxiety and depression was not associated with pain VAS scores in any model. Multivariate analysis of other covariates showed that age, disease duration, and presence of SJC/TJC of joints other than the 28 joints were positively correlated with pain VAS scores.

Table 1.

Univariate and multivariate regression analysis for independent variables associated with pain-VAS scores

UnivariateMultivariate independent variablesModel 1*Model 2**Pain catastrophizingEstimate3.74.13.695%CI 0.7 to 6.61.1 to 7.00.5 to 6.6p-value0.0150.0060.021AnxietyEstimate3.74.40.595%CI -1.9 to 9.2 -1.0 to 9.9 -3.5 to 7.9p value0.1980.1080.453DepressionEstimate3.54.23.995%CI -1.9 to 8.9 -1.1 to 9.5 -1.9 to 8.7p-value0.2040.1190.210

The covariates in multivariate analysis are as follows: age, sex, body mass index, disease duration, Steinbrocker’s Stage, prednisolone dosage, biologic agents use, and presence of swollen joint counts/tender joint counts of joints other than the 28 joints.

*Model 1: each psychological independent variable and the above covariates.

**Model 2: all psychological independent variables and the above covariates.

Conclusion:

Pain catastrophizing was associated with pain VAS scores in RA patients with 1 or less on 28joints-SJC/TJC and CRP, emphasising that residual pain in the patients should be treated in a biopsychosocial framework focussing on pain catastrophizing.

Disclosure of Interests:

Tamami Yoshida: None declared, Motomu Hashimoto Speakers bureau: Mitsubishi Tanabe Pharma Corporation; Bristol-Myers Squibb; Eisai Co., Ltd.; and Eli Lilly and Company., Grant/research support from: Mitsubishi Tanabe Pharma Corporation; Bristol-Myers Squibb; Eisai Co., Ltd.; and Eli Lilly and Company., Kosaku Murakami Speakers bureau: Eisai Co., Ltd.; Chugai Pharmaceutical Co., Ltd.; Pfizer Inc.; Bristol-Myers Squibb; Mitsubishi Tanabe Pharma Co; UCB Japan Co., Ltd.; Daiichi Sankyo Co., Ltd.; and Astellas Pharma Inc., Consultant of: Eisai Co., Ltd.; Chugai Pharmaceutical Co., Ltd.; Pfizer Inc.; Bristol-Myers Squibb; Mitsubishi Tanabe Pharma Co; UCB Japan Co., Ltd.; Daiichi Sankyo Co., Ltd.; and Astellas Pharma Inc., Koichi Murata Speakers bureau: Eisai Co., Ltd. and Astellas Pharma Inc., Consultant of: Eisai Co., Ltd. and Astellas Pharma Inc., Kohei Nishitani Grant/research support from: Asahi-Kasei Pharma., Ryu Watanabe Speakers bureau: Mitsubishi Tanabe Pharma Co; Pfizer Inc.; Sanofi S.A.; AbbVie GK; Asahi Kasei Pharma; Eisai Co., Ltd.; Eli Lilly and Company; Bristol-Myers Squibb; and Janssen Pharmaceutical K.K., Teruhide Koyama: None declared, Ritei Uehara: None declared, Masao Tanaka Speakers bureau: AbbVie GK, Asahi Kasei Pharma., Astellas Pharma Inc., Ayumi Pharmaceutical Co., Chugai Pharmaceutical Co., Ltd., Eisai Co., Ltd., Eli Lilly Japan K.K., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Co., Novartis Pharma K.K., Pfizer Inc., Taisyo Pharma., Ltd., UCB Japan Co., Ltd., Grant/research support from: AbbVie GK, Asahi Kasei Pharma., Astellas Pharma Inc., Ayumi Pharmaceutical Co., Chugai Pharmaceutical Co., Ltd., Eisai Co., Ltd., Eli Lilly Japan K.K., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Co., Novartis Pharma K.K., Pfizer Inc., Taisyo Pharma., Ltd., UCB Japan Co., Ltd., Hiromu Ito Grant/research support from: Bristol-Myers Squibb, Eisai Co, Taisyo Pharma., and Mochida., Shuichi Matsuda: None declared

POS0544 INFLUENCE OF EATING HABITS ON FRAILTY AMONG PATIENTS WITH RHEUMATOID ARTHRITIS: KURAMA COHORT

Background:

Rheumatoid arthritis (RA) is a chronic inflammatory disorder that contributes to accelerating frailty, a clinical state of increased vulnerability due to declined physiological function. Although accumulating evidence suggests the importance of nutritional therapy for frailty in the general population, there is little evidence on dietary recommendations for preventing frailty in patients with RA.

Objectives:

The present study aimed to reveal clinical associations between frailty status, eating habits and RA disease activity.

Methods:

We conducted a cross-sectional study of 306 female outpatients enrolled from the KURAMA (Kyoto University Rheumatoid Arthritis Management Alliance) cohort database. The participants were classified into three groups (robust, prefrail and frail) according to simplified frailty scale (SOF index), and dietary data were collected using a self-reported food frequency questionnaire as previously reported. We performed multivariate logistic analyses for the presence of frailty/prefrailty with or without eating habits.

Results:

Frail group showed physical decline such as decreased skeletal muscle index, hand grip strength and walking speed, and DAS28-ESR in the frail group was significantly higher compared to that in the others. In multivariate logistic analysis, the presence of frailty/prefrailty was correlated with DAS28-ESR (OR 1.71, p=0.00004) and methotrexate use (OR 0.47, p=0.0097). Cochran-Armitage trend test also showed that the intake frequency of five ingredients (meat, fish, milk, fruits and vegetables) was inversely associated with the prevalence of frailty/prefrailty. In additional multivariate logistic analyses with dietary habits, habitual intake of fish (at least three times per week), rather than meat or other foods, was independently correlated with the presence of frailty/prefrailty (OR 0.33, p=0.00027).

Conclusion:

Our results suggest that habitual intake of fish, rather than meat or other foods, may be beneficial in preventing frailty among RA patients.

References:

[1]Ferrucci, L. & Fabbri, E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol 15, 505-522, doi:10.1038/s41569-018-0064-2 (2018).

[2]Hernandez Morante, J. J., Gomez Martinez, C. & Morillas-Ruiz, J. M. Dietary factors associated with frailty in old adults: a review of nutritional interventions to prevent frailty development. Nutrients 11, doi:10.3390/nu11010102 (2019).

Table 1.

Multivariate logistic analysis for RA patients with prefrailty or frailty

variables including eating habitsFish + MeatAllOR (95% CI)P valueOR (95% CI)P valueDAS28-ESR1.78 (1.34 - 2.37)0.000031.73 (1.30 - 2.30)0.00009MTX use0.43 (0.23 - 0.79)0.00550.42 (0.23 - 0.78)0.0050Age (1 year)1.02 (1.00 - 1.05)0.0371.03 (1.01 - 1.06)0.0015PSL use1.23 (0.69 - 2.21)0.491.22 (0.67 - 2.20)0.51Duration of RA (1 year)1.00 (0.98 - 1.02)0.721.00 (0.98 - 1.02)0.84Body mass index1.00 (0.93 - 1.07)0.980.99 (0.92 - 1.07)0.85Biological agents use1.02 (0.60 - 1.72)0.941.04 (0.62 - 1.77)0.87Fish dish0.31 (0.17 - 0.55)0.000040.33 (0.18 - 0.61)0.00027Meat dish0.86 (0.49 - 1.50)0.600.89 (0.51 - 1.57)0.69Milk0.71 (0.41 - 1.24)0.23Vegetable0.95 (0.47 - 1.93)0.89Fruits0.77 (0.41 - 1.42)0.40Figure 1.

The prevalence of prefrailty or frailty for subjects by intake frequency

Acknowledgements:

We thank S. Nakagawa and M. Iida for technical assistance.

Disclosure of Interests:

Masao Katsushima: None declared, Hiroto Minamino: None declared, Mie Torii: None declared, Motomu Hashimoto Speakers bureau: M.H. receives grants and/or speaker fees from Bristol-Meyers, Eisai, Eli Lilly, and Tanabe Mitsubishi., Grant/research support from: M.H. belongs to the department financially supported by Nagahama City, Shiga, Japan, Toyooka City, Hyogo, Japan and five pharmaceutical companies (Tanabe-Mitsubishi, Chugai, UCB Japan, Ayumi and Asahi-Kasei).

KURAMA cohort study is supported by a grant from Daiichi Sankyo Co. Ltd., Wataru Yamamoto: None declared, Ryu Watanabe Grant/research support from: R.W. belongs to the department that is financially supported by Nagahama City, Shiga, Japan, Toyooka City, Hyogo, Japan and five pharmaceutical companies (Tanabe-Mitsubishi, Chugai, UCB Japan, Ayumi and Asahi-Kasei). KURAMA cohort study is supported by a grant from Daiichi Sankyo Co. Ltd., Kosaku Murakami: None declared, Koichi Murata Grant/research support from: K.M. belongs to the department that is financially supported by Nagahama City, Shiga, Japan, Toyooka City, Hyogo, Japan and five pharmaceutical companies (Tanabe-Mitsubishi, Chugai, UCB Japan, Ayumi and Asahi-Kasei).

KURAMA cohort study is supported by a grant from Daiichi Sankyo Co. Ltd., Masao Tanaka Grant/research support from: M.T. belongs to the department that is financially supported by Nagahama City, Shiga, Japan, Toyooka City, Hyogo, Japan and five pharmaceutical companies (Tanabe-Mitsubishi, Chugai, UCB Japan, Ayumi and Asahi-Kasei).

KURAMA cohort study is supported by a grant from Daiichi Sankyo Co. Ltd., Hiromu Ito Speakers bureau: H.I. receives a research grant and/or speaker fee from Bristol-Myers, Eisai, Mochida, Taisho, and Asahi-Kasei., Grant/research support from: H.I. belongs to the department that is financially supported by Nagahama City, Shiga, Japan, Toyooka City, Hyogo, Japan and five pharmaceutical companies (Tanabe-Mitsubishi, Chugai, UCB Japan, Ayumi and Asahi-Kasei). KURAMA cohort study is supported by a grant from Daiichi Sankyo Co. Ltd., Akio Morinobu Speakers bureau: A.M. has received speaking fees and/or research grants from Eli Lilly Japan K.K., Ono Pharmaceutical Co., Pfizer Inc., UCB Japan, AbbVie G.K., Asahi Kasei Pharma and Chugai Pharmaceutical Co. Ltd., Grant/research support from: A.M. has received speaking fees and/or research grants from Eli Lilly Japan K.K., Ono Pharmaceutical Co., Pfizer Inc., UCB Japan, AbbVie G.K., Asahi Kasei Pharma and Chugai Pharmaceutical Co. Ltd.

Observation of topological superconductivity in a stoichiometric transition metal dichalcogenide 2M-WS2

Topological superconductors (TSCs) are unconventional superconductors with bulk superconducting gap and in-gap Majorana states on the boundary that may be used as topological qubits for quantum computation. Despite their importance in both fundamental research and applications, natural TSCs are very rare. Here, combining state of the art synchrotron and laser-based angle-resolved photoemission spectroscopy, we investigated a stoichiometric transition metal dichalcogenide (TMD), 2M-WS₂ with a superconducting transition temperature of 8.8 K (the highest among all TMDs in the natural form up to date) and observed distinctive topological surface states (TSSs). Furthermore, in the superconducting state, we found that the TSSs acquired a nodeless superconducting gap with similar magnitude as that of the bulk states. These discoveries not only evidence 2M-WS₂ as an intrinsic TSC without the need of sensitive composition tuning or sophisticated heterostructures fabrication, but also provide an ideal platform for device applications thanks to its van der Waals layered structure.

Laparoscopic surgery for familial multiple gastrointestinal stromal tumors with germ line c-kit gene mutation

Familial gastrointestinal stromal tumor (GIST) is an exceedingly rare disease characterized by mutations in the c-kit and platelet-derived growth factor receptor alpha genes. We report the case of a 73-year-old woman with multiple submucosal tumors (SMTs) in the stomach and small intestine. Her elder sister had previously presented with multiple SMTs on examination and underwent surgery to remove the tumors because they showed a tendency to increase in size during follow-up. The sister's tumors were pathologically diagnosed as GISTs, and a germ line mutation was recognized in exon 17 of c-kit. Subsequently, the patient presented with multiple SMTs and the same germ line mutation as her sister. After 9 years of follow-up, a single tumor was found to have grown in size, and SILS was performed for this SMT, which was also pathologically diagnosed as a GIST. To our knowledge, this is the first report of laparoscopic surgery for a case of familial GIST.

Large-Amplitude Thermal Vibration-Coupled Valence Tautomeric Transition Observed in a Conductive One-Dimensional Rhodium-Dioxolene Complex

The exploration of dynamic molecular crystals is a fascinating theme for materials scientists owing to their fundamental science and potential application to molecular devices. Herein, a one-dimensional (1D) rhodium-dioxolene complex is reported that exhibits drastic changes in properties with the phase transition. X-ray photoelectron spectroscopy (XPS) revealed that the room-temperature (RT) phase is in a mixed-valence state, and therefore, the drastic changes originate from the mixed-valence state appearing in the RT phase. Another notable feature is that the mean square displacements of the rhodium atoms along the 1D chain dramatically increased in the RT phase, indicating a large-amplitude vibration of the Rh-Rh bonds. From these results, a possible mechanism for the appearance of the mixed-valence state in the RT phase was proposed based on the thermal electron transfer from the 1D d-band to the semiquinonato π* orbital coupled with the large-amplitude vibration of the Rh-Rh bonds.

A diagnostic strategy for Parkinsonian syndromes using quantitative indices of DAT SPECT and MIBG scintigraphy: an investigation using the classification and regression tree analysis

Purpose

We aimed to evaluate the diagnostic performances of quantitative indices obtained from dopamine transporter (DAT) single-photon emission computed tomography (SPECT) and ¹²³I-metaiodobenzylguanidine (MIBG) scintigraphy for Parkinsonian syndromes (PS) using the classification and regression tree (CART) analysis.

Methods

We retrospectively enrolled 216 patients with or without PS, including 80 without PS (NPS) and 136 with PS [90 Parkinson’s disease (PD), 21 dementia with Lewy bodies (DLB), 16 progressive supranuclear palsy (PSP), and 9 multiple system atrophy (MSA). The striatal binding ratio (SBR), putamen-to-caudate ratio (PCR), and asymmetry index (AI) were calculated using DAT SPECT. The heart-to-mediastinum uptake ratio (H/M) based on the early (H/M [Early]) and delayed (H/M [Delay]) images and cardiac washout rate (WR) were calculated from MIBG scintigraphy. The CART analysis was used to establish a diagnostic decision tree model for differentiating PS based on these quantitative indices.

Results

The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 87.5, 96.3, 93.3, 92.9, and 93.1 for NPS; 91.1, 78.6, 75.2, 92.5, and 83.8 for PD; 57.1, 95.9, 60.0, 95.4, and 92.1 for DLB; and 50.0, 98.0, 66.7, 96.1, and 94.4 for PSP, respectively. The PCR, WR, H/M (Delay), and SBR indices played important roles in the optimal decision tree model, and their feature importance was 0.61, 0.22, 0.11, and 0.05, respectively.

Conclusion

The quantitative indices showed high diagnostic performances in differentiating NPS, PD, DLB, and PSP, but not MSA. Our findings provide useful guidance on how to apply these quantitative indices in clinical practice.

[Results of Surgical Treatment for Gastric Tube Cancer after Esophagectomy]

Recent improvements in the survival of patients after esophagectomy have led to an increase in the occurrence of gastric tube cancers(GTC). We retrospectively examined 7 patients who were surgically treated for GTC among 13 patients who were diagnosed between April 2004 and December 2018. Partial gastrectomy with regional lymph node dissection was performed in 6 patients while total resection of the stomach was performed only in 1 patient. Postoperative complications included 1 anastomotic leakage and 1 subcutaneous abscess. We performed subtotal gastrectomy with preservation of the upper region of the gastric tube in 3 patients. In these patients, blood flow was confirmed from the remnant esophagus to the upper region of the gastric tube using indocyanine green fluorescence imaging. The pathological stage of the treated GTCs were 4 cases of Stage ⅠA, 2 of Stage ⅠB, and 1 of Stage ⅡA. Median follow-up time and postoperative survival time were 32 months and 46.5 months, respectively. Most of our surgically treated cases were early gastric carcinomas that could be radically resected.

CT screening for COVID-19 in asymptomatic patients before hospital admission

Introduction

In the novel coronavirus disease (COVID-19) pandemic era, it is essential to rule out COVID-19 effectively to prevent transmission in both communities and medical facilities. According to previous reports in high prevalence areas, CT screening may be useful in the diagnosis of COVID-19. However, the value of CT screening in low prevalence areas has scarcely been reported.

Methods

This report examines the diagnostic efficacy of CT screening before admission to a hospital in Tokyo. We conducted a retrospective analysis at Keio University Hospital from April 6, 2020, through May 29, 2020. We set up an outpatient screening clinic on April 6 for COVID-19, administering both PCR with nasopharyngeal swabs and chest CT for all patients scheduled for surgery under general anesthesia.

Results

A total of 292 asymptomatic patients were included in this study. There were three PCR-positive patients, and they all had negative CT findings, which revealed that both the sensitivity and positive predictive value of CT (PPV) were 0%. There were nine CT-positive patients; the specificity and the negative predictive value (NPV) were 96.9% and 98.9%, respectively.

Conclusion

CT screening was not useful in low prevalence areas at this time in Tokyo, even with the inclusion of the most prevalent phase. Given that the utility of CT screening depends on disease prevalence, the criteria for performing CT screening based on the prevalence of COVID-19 should be established.

AB1103 AUTOMATIC FINGER JOINT BONE EROSION SCORE PREDICTION CONSIDERING 2-TIME-POINT X-RAYS OF PATIENTS WITH RHEUMATOID ARTHRITIS BY DEEP LEARNING

Background:

Medical image analysis using deep learning (DL) has been attracting attention. In previous research, we proposed a DL method for detection of joint region and evaluation for bone destruction at a single point in time in hand X-rays of patients with rheumatoid arthritis (RA) [1-2]. However, in the score of van der Heijde-modified total Sharp scores (mTSS) in X-rays, it is difficult to apply the method as it is. In mTSS, score difference between 2-time points is important, and there is a problem that the score at each time varies depending on the doctor who evaluates.

Objectives:

We aimed at developing an mTSS scoring method considering 2-time-point difference with a DL method.

Methods:

A total of 104 X-ray image sets of both hands at two time points with an interval of ≥1 year were randomly obtained from patients with RA who had visited our clinic in 2015. Well-trained doctors determined the erosion scores of MP and PIP/IP joints of each hand in X-rays according to mTSS. These evaluations of hand joints were performed using our developed annotation software tool. In the learning phase, joint images were randomly divided into five sets for 5-fold cross-validation. We utilized a convolutional neural network model, such as SSD [3], for detecting joint regions and classifying the scores (Fig 1).

Figure1.

The models for classification were designed in consideration of the difference in erosion scores of each patient between the 2-time points of X-rays. The loss function of the DL model was defined bellow;

Here, the coefficient γ is designed to reduce the error for another set of scores with equal differences. The first term of the loss function works to optimize the score at each time point, and the second term works to optimize the score difference at both time points. Thus, our method can be trained without being affected by characteristic training data.

Results:

The number of joints with differences in erosion score between the former and latter time points was 1 (-2 points), 9 (-1), 2015 (0), 32 (+1), 17 (+2), and 6 (+3). There were no joints with score changes of -5, -4, -3, +4, and +5 points.

As a performance of predicting the difference in erosion score between the 2-time points of each patient’s X-ray, our models presented a mean error of 0.412 per each joint in one set for 5-cross validation as compared with physicians’ evaluation (Fig 2).

Figure 2.

Conclusion:

Our DL-based models to predict hand joint erosion scores in X-rays were developed with relatively small samples. This suggests that the predictive performance may increase by collecting more training dataset. Next, we will apply our method to the prediction of joint space narrowing score.

References:

[1]Izumi K, Hashimoto M, Suzuki K, et al. Detecting Hand Joint Ankylosis in Radiographic Images Using Deep Learning: A Step in Developing Automatic Radiographic Scoring System for Bone Destruction.Arthritis Rheumatol2018;70 (suppl 10).

[2]Izumi K, Suzuki K, Hashimoto M, et al. SAT0543 AUTOMATIC DETECTION OF HAND JOINT REGION, ANKYLOSIS AND SUBLUXATION IN RADIOGRAPHIC IMAGES USING DEEP LEARNING: DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED RADIOGRAPHIC EVALUATION SYSTEM FOR BONE DESTRUCTION.Annals of the Rheumatic Diseases2019;78 (suppl 2), pp. 1364-1364.

[3]Liu W, Anguelov D, Szgedy C, et al. SSD: single shot multibox detector.European Conference on Computer Vision (ECCV) 2016.

Acknowledgments:

Izumi and Suzuki are contributed equally.

Disclosure of Interests:

Keisuke Izumi Grant/research support from: Asahi Kasei Pharma, Takeda Pharmaceutical Co., Ltd., Speakers bureau: Asahi Kasei Pharma Corp, Astellas Pharma Inc., Bristol Myers Squibb, Chugai Pharmaceutical Co., Ltd., Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Kanata Suzuki Employee of: Fujitsu Laboratories Ltd., Masahiro Hashimoto: None declared, Toshio Endoh Employee of: Fujitsu Laboratories Ltd., Kentaro Doi Employee of: Fujitsu Ltd., Yuki Iwai Employee of: Fujitsu Ltd., Yuko Kaneko Speakers bureau: AbbVie, Eisai Pharmaceutical, Chugai Pharmaceutical Co., Ltd., Bristol Myers Squibb, Astellas Pharma Inc., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Janssen Pharmaceutical K.K., Eli Lilly Japan K.K., Santen Pharmaceutical Co., Ltd., Kyowa Hakko Kirin Co. Ltd. and UCB Japan Co. Ltd., Masahiro Jinzaki: None declared, Shigeru Ko Grant/research support from: Fujitsu Ltd., Tsutomu Takeuchi Grant/research support from: Astellas Pharma Inc, Chugai Pharmaceutical Co, Ltd., Daiichi Sankyo Co., Ltd., Takeda Pharmaceutical Co., Ltd., AbbVie GK, Asahikasei Pharma Corp., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Eisai Co., Ltd., AYUMI Pharmaceutical Corporation, Nipponkayaku Co. Ltd., Novartis Pharma K.K., Teijin, Consultant of: Astra Zeneca K.K., Eli Lilly Japan K.K., Novartis Pharma K.K., Mitsubishi Tanabe Pharma Co., Abbivie GK, Nipponkayaku Co.Ltd, Janssen Pharmaceutical K.K., Astellas Pharma Inc., Taiho Pharmaceutical Co. Ltd., Chugai Pharmaceutical Co. Ltd., Taisho Toyama Pharmaceutical Co. Ltd., GlaxoSmithKline K.K., UCB Japan Co. Ltd., Speakers bureau: Astellas Pharma Inc., Bristol Myers Squibb, Chugai Pharmaceutical Co., Ltd., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Santen Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co., Ltd., Teijin Pharma Ltd., AbbVie GK, Asahi Kasei Pharma Corp., Taisho Toyama Pharmaceutical Co., Ltd., SymBio Pharmaceuticals Ltd., Janssen Pharmaceutical K.K., Celltrion Inc., Nipponkayaku Co. Ltd., and UCB Japan