Automated artificial intelligence-based phase-recognition system for esophageal endoscopic submucosal dissection (with video).

BACKGROUND AND AIMS: Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is a multistep treatment involving several endoscopic processes. Although analyzing each phase separately is worthwhile, it is not realistic in practice owing to the need for considerable manpower. To solve this problem, we aimed to establish a state-of-the-art artificial intelligence (AI)-based system, specifically, an automated phase-recognition system that can automatically identify each endoscopic phase based on video images. METHODS: Ninety-four videos of ESD procedures for superficial esophageal cancer were evaluated in this single-center study. A deep neural network-based phase-recognition system was developed in an automated manner to recognize each of the endoscopic phases. The system was trained with the use of videos that were annotated and verified by 2 GI endoscopists. RESULTS: The overall accuracy of the AI model for automated phase recognition was 90%, and the average precision, recall, and F value rates were 91%, 90%, and 90%, respectively. Two representative ESD videos predicted by the model indicated the usability of AI in clinical practice. CONCLUSIONS: We demonstrated that an AI-based automated phase-recognition system for esophageal ESD can be established with high accuracy. To the best of our knowledge, this is the first report on automated recognition of ESD treatment phases. Because this system enabled a detailed analysis of phases, collecting large volumes of data in the future may help to identify quality indicators for treatment techniques and uncover unmet medical needs that necessitate the creation of new treatment methods and devices.

Unveiling the physics underlying symmetry breaking of the actin cytoskeleton: An artificial cell-based approach.

Single-cell behaviors cover many biological functions, such as cell division during morphogenesis and tissue metastasis, and cell migration during cancer cell invasion and immune cell responses. Symmetry breaking of the positioning of organelles and the cell shape are often associated with these biological functions. One of the main players in symmetry breaking at the cellular scale is the actin cytoskeleton, comprising actin filaments and myosin motors that generate contractile forces. However, because the self-organization of the actomyosin network is regulated by the biochemical signaling in cells, how the mechanical contraction of the actin cytoskeleton induces diverse self-organized behaviors and drives the cell-scale symmetry breaking remains unclear. In recent times, to understand the physical underpinnings of the symmetry breaking exhibited in the actin cytoskeleton, artificial cell models encapsulating the cytoplasmic actomyosin networks covered with lipid monolayers have been developed. By decoupling the actomyosin mechanics from the complex biochemical signaling within living cells, this system allows one to study the self-organization of actomyosin networks confined in cell-sized spaces. We review the recent developments in the physics of confined actomyosin networks and provide future perspectives on the artificial cell-based approach. This review article is an extended version of the Japanese article, The Physical Principle of Cell Migration Under Confinement: Artificial Cell-based Bottom-up Approach, published in SEIBUTSU BUTSURI Vol. 63, p. 163-164 (2023).

Evaluation of surgical complexity by automated surgical process recognition in robotic distal gastrectomy using artificial intelligence.

BACKGROUND: Although radical gastrectomy with lymph node dissection is the standard treatment for gastric cancer, the complication rate remains high. Thus, estimation of surgical complexity is required for safety. We aim to investigate the association between the surgical process and complexity, such as a risk of complications in robotic distal gastrectomy (RDG), to establish an artificial intelligence (AI)-based automated surgical phase recognition by analyzing robotic surgical videos, and to investigate the predictability of surgical complexity by AI. METHOD: This study assessed clinical data and robotic surgical videos for 56 patients who underwent RDG for gastric cancer. We investigated (1) the relationship between surgical complexity and perioperative factors (patient characteristics, surgical process); (2) AI training for automated phase recognition and model performance was assessed by comparing predictions to the surgeon-annotated reference; (3) AI model predictability for surgical complexity was calculated by the area under the curve. RESULT: Surgical complexity score comprised extended total surgical duration, bleeding, and complications and was strongly associated with the intraoperative surgical process, especially in the beginning phases (area under the curve 0.913). We established an AI model that can recognize surgical phases from video with 87% accuracy; AI can determine intraoperative surgical complexity by calculating the duration of beginning phases from phases 1-3 (area under the curve 0.859). CONCLUSION: Surgical complexity, as a surrogate of short-term outcomes, can be predicted by the surgical process, especially in the extended duration of beginning phases. Surgical complexity can also be evaluated with automation using our artificial intelligence-based model.

The relationship between the esophageal endoscopic submucosal dissection technical difficulty and its intraoperative process.

BACKGROUND: Estimating the esophageal endoscopic submucosal dissection (ESD) technical difficulty is important to reduce complications. Endoscopic duration is one of the related factors to a technical difficulty. The relationship between the esophageal ESD technical difficulty and its intraoperative process was analyzed as a first step toward automatic technical difficulty recognition using artificial intelligence. METHODS: This study enrolled 75 patients with superficial esophageal cancer who underwent esophageal ESD. The technical difficulty score was established, which consisted of three factors, including total procedure duration, en bloc resection, and complications. Additionally, technical difficulty-related factors, which were perioperative factors that included the intraoperative process, were investigated. RESULTS: Eight (11%) patients were allocated to high difficulty, whereas 67 patients (89%) were allocated to low difficulty. The intraoperative process, which was shown as the extension of each endoscopic phase, was significantly related to a technical difficulty. The area under the curve (AUC) values were higher at all the phase duration than at the clinical characteristics. Submucosal dissection phase (AUC 0.902; 95% confidence intervals (CI) 0.752-1.000), marking phase (AUC 0.827; 95% CI 0.703-0.951), and early phase which was defined as the duration from the start of marking to the end of submucosal injection (AUC 0.847; 95% CI 0.701-0.992) were significantly related to technical difficulty. CONCLUSIONS: The intraoperative process, particularly early phase, was strongly associated with esophageal ESD technical difficulty. This study demonstrated the potential for automatic evaluation of esophageal ESD technical difficulty when combined with an AI-based automatic phase evaluation system.

Membrane Sphingomyelin in Host Cells Is Essential for Nucleocapsid Penetration into the Cytoplasm after Hemifusion during Rubella Virus Entry.

The lipid composition of the host cell membrane is one of the key determinants of the entry of enveloped viruses into cells. To elucidate the detailed mechanisms behind the cell entry of rubella virus (RuV), one of the enveloped viruses, we searched for host factors involved in such entry by using CRISPR/Cas9 genome-wide knockout screening, and we found sphingomyelin synthase 1 (SMS1), encoded by the SGMS1 gene, as a candidate. RuV growth was strictly suppressed in SGMS1-knockout cells and was completely recovered by the overexpression of enzymatically active SMS1 and partially recovered by that of SMS2, another member of the SMS family, but not by that of enzymatically inactive SMS1. An entry assay using pseudotyped vesicular stomatitis virus possessing RuV envelope proteins revealed that sphingomyelin generated by SMSs is crucial for at least RuV entry. In SGMS1-knockout cells, lipid mixing between the RuV envelope membrane and the membrane of host cells occurred, but entry of the RuV genome from the viral particles into the cytoplasm was strongly inhibited. This indicates that sphingomyelin produced by SMSs is essential for the formation of membrane pores after hemifusion occurs during RuV entry. IMPORTANCE Infection with rubella virus during pregnancy causes congenital rubella syndrome in infants. Despite its importance in public health, the detailed mechanisms of rubella virus cell entry have only recently become somewhat clearer. The E1 protein of rubella virus is classified as a class II fusion protein based on its structural similarity, but it has the unique feature that its activity is dependent on calcium ion binding in the fusion loops. In this study, we found another unique feature, as cellular sphingomyelin plays a critical role in the penetration of the nucleocapsid into the cytoplasm after hemifusion by rubella virus. This provides important insight into the entry mechanism of rubella virus. This study also presents a model of hemifusion arrest during cell entry by an intact virus, providing a useful tool for analyzing membrane fusion, a biologically important phenomenon.

Correction to: Clinical Impact of Inferior Mesenteric Lymph Node Metastasis in Patients with Cancer of the Sigmoid Colon or Rectum.

[This corrects the article DOI: 10.1007/s13193-021-01389-3.].

Geometric trade-off between contractile force and viscous drag determines the actomyosin-based motility of a cell-sized droplet.

Cell migration in confined environments is fundamental for diverse biological processes from cancer invasion to leukocyte trafficking. The cell body is propelled by the contractile force of actomyosin networks transmitted from the cell membrane to the external substrates. However, physical determinants of actomyosin-based migration capacity in confined environments are not fully understood. Here, we develop an in vitro migratory cell model, where cytoplasmic actomyosin networks are encapsulated into droplets surrounded by a lipid monolayer membrane. We find that the droplet can move when the actomyosin networks are bound to the membrane, in which the physical interaction between the contracting actomyosin networks and the membrane generates a propulsive force. The droplet moves faster when it has a larger contact area with the substrates, while narrower confinement reduces the migration speed. By combining experimental observations and active gel theory, we propose a mechanism where the balance between sliding friction force, which is a reaction force of the contractile force, and viscous drag determines the migration speed, providing a physical basis of actomyosin-based motility in confined environments.

Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence.

BACKGROUND: Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures have been performed due to three-dimensional field of view, image stabilization, and flexible joint function, both the surgeons and surgical teams require proficiency. This study aimed to establish an artificial intelligence (AI)-based automated surgical-phase recognition system for RAMIE by analyzing robotic surgical videos. METHODS: This study enrolled 31 patients who underwent RAMIE. The videos were annotated into the following nine surgical phases: preparation, lower mediastinal dissection, upper mediastinal dissection, azygos vein division, subcarinal lymph node dissection (LND), right recurrent laryngeal nerve (RLN) LND, left RLN LND, esophageal transection, and post-dissection to completion of surgery to train the AI for automated phase recognition. An additional phase ("no step") was used to indicate video sequences upon removal of the camera from the thoracic cavity. All the patients were divided into two groups, namely, early period (20 patients) and late period (11 patients), after which the relationship between the surgical-phase duration and the surgical periods was assessed. RESULTS: Fourfold cross validation was applied to evaluate the performance of the current model. The AI had an accuracy of 84%. The preparation (p = 0.012), post-dissection to completion of surgery (p = 0.003), and "no step" (p < 0.001) phases predicted by the AI were significantly shorter in the late period than in the early period. CONCLUSIONS: A highly accurate automated surgical-phase recognition system for RAMIE was established using deep learning. Specific phase durations were significantly associated with the surgical period at the authors' institution.

Oncologic benefit of adjuvant chemotherapy for locally advanced rectal cancer after neoadjuvant chemoradiotherapy and curative surgery with selective lateral pelvic lymph node dissection: An international retrospective cohort study.

INTRODUCTION: Intensive local treatment comprising total mesorectal excision (TME) with selective lateral pelvic lymph node dissection (LPND) after neoadjuvant chemoradiotherapy (CRT) for locally advanced rectal cancer (LARC) has received attention among clinicians treating rectal cancer. It remains unclear whether adjuvant chemotherapy (ACT) after intensive local treatment is beneficial for these patients. We evaluated the oncologic benefit of ACT for patients with LARC who received intensive local treatment. MATERIALS AND METHODS: This international multicentre retrospective cohort study included 737 patients treated in Japan and Korea between 2010 and 2017. The effectiveness of ACT on recurrence-free survival (RFS) was evaluated using univariable and multivariable Cox proportional hazards models, with subgroup analyses to identify subpopulations potentially benefiting from ACT. RESULTS: The median follow-up was 49 months; the 5-year RFS and local recurrence rates for the entire cohort were 72.1% and 4.9%, respectively; 514 patients (69.7%) received adjuvant chemotherapy, without an oncologic benefit (hazard ratio, 1.14; 95% confidence interval [CI]: 0.79-1.68) demonstrated in the multivariable Cox regression analysis. In subgroup analyses, the distributions of the 95% CI in patients aged ≥70 years and those with ypStage 0 tended to place a disproportionate emphasis that favoured the non-ACT treatment strategy. CONCLUSION: Despite achieving good local control with intensive local treatment strategy, the effectiveness of ACT for the LARC patients with CRT followed by TME with selective LPND was not proved. Elderly patients and those with ypStage0 may not receive benefit from ACT after CRT and TME ± LPND.

Controlling Collective Motion of Kinesin-Driven Microtubules via Patterning of Topographic Landscapes.

Biomolecular motor proteins that generate forces by consuming chemical energy obtained from ATP hydrolysis play pivotal roles in organizing cytoskeletal structures in living cells. An ability to control cytoskeletal structures would benefit programmable protein patterning; however, our current knowledge is limited because of the underdevelopment of engineering approaches for controlling pattern formation. Here, we demonstrate the controlling of self-assembled patterns of microtubules (MTs) driven by kinesin motors by designing the boundary shape in fabricated microwells. By manipulating the collision angle of gliding MTs defined by the boundary shape, the self-assembly of MTs can be controlled to form protruding bundle and bridge patterns. Corroborated by the theory of self-propelled rods, we further show that the alignment of MTs determines the transition between the assembled patterns, providing a blueprint to reconstruct bridge structures in microchannels. Our findings introduce the tailoring of the self-organization of cytoskeletons and motor proteins for nanotechnological applications.

Machine Learning-based Model for Predicting Postoperative Complications among Patients with Colonic Perforation: A Retrospective study.

OBJECTIVES: Surgery for colonic perforation has high morbidity and mortality rates. Predicting complications preoperatively would help improve short-term outcomes; however, no predictive risk stratification model exists to date. Therefore, the current study aimed to determine risk factors for complications after colonic perforation surgery and use machine learning to construct a predictive model. METHODS: This retrospective study included 51 patients who underwent emergency surgery for colorectal perforation. We investigated the connection between overall complications and several preoperative indicators, such as lactate and the Glasgow Prognostic Score. Moreover, we used the classification and regression tree (CART), a machine-learning method, to establish an optimal prediction model for complications. RESULTS: Overall complications occurred in 32 patients (62.7%). Multivariate logistic regression analysis identified high lactate levels [odds ratio (OR), 1.86; 95% confidence interval (CI), 1.07-3.22; p = 0.027] and hypoalbuminemia (OR, 2.56; 95% CI, 1.06-6.25; p = 0.036) as predictors of overall complications. According to the CART analysis, the albumin level was the most important parameter, followed by the lactate level. This prediction model had an area under the curve (AUC) of 0.830. CONCLUSIONS: Our results determined that both preoperative albumin and lactate levels were valuable predictors of postoperative complications among patients who underwent colonic perforation surgery. The CART analysis determined optimal cutoff levels with high AUC values to predict complications, making both indicators clinically easier to use for decision making.

Hepatitis C virus modulates signal peptide peptidase to alter host protein processing.

Immunoevasins are viral proteins that prevent antigen presentation on major histocompatibility complex (MHC) class I, thus evading host immune recognition. Hepatitis C virus (HCV) evades immune surveillance to induce chronic infection; however, how HCV-infected hepatocytes affect immune cells and evade immune recognition remains unclear. Herein, we demonstrate that HCV core protein functions as an immunoevasin. Its expression interfered with the maturation of MHC class I molecules catalyzed by the signal peptide peptidase (SPP) and induced their degradation via HMG-CoA reductase degradation 1 homolog, thereby impairing antigen presentation to CD8+ T cells. The expression of MHC class I in the livers of HCV core transgenic mice and chronic hepatitis C patients was impaired but was restored in patients achieving sustained virological response. Finally, we show that the human cytomegalovirus US2 protein, possessing a transmembrane region structurally similar to the HCV core protein, targets SPP to impair MHC class I molecule expression. Thus, SPP represents a potential target for the impairment of MHC class I molecules by DNA and RNA viruses.

FOXO3 is a latent tumor suppressor for FOXO3-positive and cytoplasmic-type gastric cancer cells.

FOXO3 is a member of the FOXO transcription factors thought to play a tumor-suppressor role in gastrointestinal cancer, while tumor-promoting function of FOXO3 has also been reported. These results suggest a context-dependent function of FOXO3 in tumor development. However, the relationship between the FOXO3 expression pattern and its role in tumorigenesis has not been elucidated. We examined the FOXO3 expression in 65 human primary gastric cancer and patient-derived xenograft tissues by immunohistochemistry and identified three subtypes according to subcellular localization: FOXO3-nuclear accumulated (FOXO3-Nuc), FOXO3-nuclear/cytoplasmic or cytoplasmic distributed (FOXO3-Cyt), and FOXO3-negative. In the FOXO3-Cyt gastric cancer cells, the expression of the constitutive active mutant FOXO3 (Act-ER FOXO3) induced the nuclear accumulation of FOXO3 and significantly suppressed colony formation and proliferation. The inhibition of the PI3K-AKT pathway by inhibitor treatment also suppressed the proliferation of FOXO3-Cyt gastric cancer cells, which was associated with the nuclear accumulation of endogenous FOXO3. Furthermore, the expression of Act-ER FOXO3 by an endogenous promoter significantly suppressed gastric tumorigenesis in Gan mice, a model of gastric cancer. Finally, treatment of FOXO3-Cyt human gastric cancer-derived organoids with an AKT inhibitor significantly suppressed the survival and proliferation. These results indicate that FOXO3 is a latent tumor suppressor for FOXO3-Cyt-type gastric cancer cells and that activation of the PI3K-AKT pathway protects this type of gastric cancer cell from FOXO3-mediated growth suppression via constitutive nuclear export. Thus, the inhibition of the PI3K-AKT pathway and nuclear translocation of endogenous FOXO3 may have therapeutic applications in the treatment of FOXO3-positive and cytoplasmic-type gastric cancer.

Ponesimod suppresses hepatitis B virus infection by inhibiting endosome maturation.

The discovery of novel antivirals to treat hepatitis B virus (HBV) infection is urgently needed, as the currently available drugs mainly target viral proteins at replication step, whereas host factors also play significant roles in HBV infection. Although numerous studies have reported candidate drugs for HBV treatment, there remains a need to find a new drug that may target other steps of the HBV life cycle. In this study, by drug screening of a 533 G-protein-coupled receptors (GPCRs)-associated compound library, we identified ponesimod, a selective agonist of sphingosine-1-phosphate receptor 1 (S1P1), as a drug candidate for the suppression of HBV infection. However, the anti-HBV effect of ponesimod is independent of S1P1 and other sphingosine-1-phosphate receptors (S1PRs). Treatment with ponesimod at an early step of infection but not at a post-entry step significantly reduced the HBV relaxed circular DNA (rcDNA) level in a dose-dependent manner. Ponesimod treatment did not inhibit attachment, binding, or internalization of HBV particles via endocytosis through an interaction with sodium taurocholate cotransporting polypeptide (NTCP) or epidermal growth factor receptor (EGFR). Importantly, during the transportation of HBV particles to the nucleus, co-localization of HBV with early endosomes but not with late endosomes and lysosomes was induced by the treatment with ponesimod, suggesting that ponesimod interferes with the conversion of early endosomes to late endosomes without significant damage to cellular growth. Conclusion: Ponesimod is a promising anti-HBV drug targeting the endosome maturation of HBV. This finding can be applied to the development of novel antivirals that target the trafficking pathway of HBV particles.

Hybrid resection of massive rectal gastrointestinal stromal tumor using laparoscopic and transanal approaches.

Rectal gastrointestinal stromal tumors (GISTs) are rare, and radical surgery such as abdominoperineal resection is necessary for large rectal GISTs to obtain tumor-free resection margins. Here, we describe a 77-year-old man with a locally advanced non-metastatic GIST in the left anterolateral wall of the lower rectum. Tumor size was estimated to be 73 mm, and invasion of the left seminal vesicle and prostate was suspected. Chemotherapy with imatinib mesylate reduced the tumor size, creating a slight gap between the tumor and anterior organs. Therefore, we performed sphincter-sparing partial rectal resection using a hybrid method of laparoscopic and transanal approaches. The postoperative course was uneventful, and the patient remains disease-free on adjuvant chemotherapy 12 months after surgery. This case suggests that a hybrid method of laparoscopic and transanal surgery allows oncological and function-preserving excision of large rectal GISTs.

Clinical Impact of Inferior Mesenteric Lymph Node Metastasis in Patients with Cancer of the Sigmoid Colon or Rectum.

The aim of this study was to clarify the clinical impact of inferior mesenteric lymph node (IMLN) metastasis from cancer of the sigmoid colon or rectum. A total of 952 patients underwent curative surgery with IMLN dissection for either sigmoid colon cancer or rectal cancer from January 2000 to August 2018. Of these, 26 (2.7%) were pathologically diagnosed with IMLN metastasis. Excluding 1 patient, 25 patients were retrospectively investigated for clinicopathological characteristics and long-term outcomes. Specifically, the clinical course of patients with recurrence was meticulously scrutinised. Of the 25 patients, 14 (56%) had recurrence during the follow-up period. The 5-year recurrence-free survival was 31.2%, and 5-year overall survival was 59.7%. No serious morbidity, such as anastomotic leakage, was observed. Of the 14 patients with recurrence, 6 underwent secondary surgery with curative intent and 5 of the 6 patients remained cancer-free. In contrast, 8 patients were treated with chemotherapy, radiotherapy or best supportive care. Although IMLN metastasis was strongly associated with recurrence, long-term survival could be expected in most cases. Furthermore, there could be a chance for complete cure in patients with recurrence if secondary surgery is successfully carried out.

Construction and characterization of an infectious clone generated from Chikungunya virus SL11131 strain.

Chikungunya virus (CHIKV) is a mosquito-borne RNA virus that causes Chikungunya fever in humans. In this study, we generated two DNA-based CHIKV infectious clones derived from an Indian Ocean Lineage SL11131 strain and a prototype Ross strain. When the replication capabilities of the infectious CHIKV in various cell lines were evaluated, the SL11131 strain was found to replicate more efficiently than the Ross strain in Aedes albopictus C6/36 cells, whereas SL11131 underwent limited replication in a BHK-21-derivative cell line named BHK-DRV. Infection experiments using chimeric CHIKV between SL11131 and Ross revealed that these different replication activities of SL11131 in C6/36 and BHK-DRV cells were determined by structural and nonstructural genes, respectively. Therefore, the infectious clones created in this study will be a useful tool for investigating the virological features of a recent epidemic strain of CHIKV and benefit the development of effective prevention and treatment of CHIKV infection.

Validation Study of Fibrinogen and Albumin Score in Esophageal Cancer Patients Who Underwent Esophagectomy: Multicenter Prospective Cohort Study.

PURPOSE: To arrange multidisciplinary treatment for esophageal cancer, a simple and accurate predictive marker for prognosis is required. The current multicenter prospective study aims to validate the prognostic significance of fibrinogen and albumin score (FA score) for esophageal cancer patients. PATIENTS AND METHODS: Patients who were planned to undergo surgical resection for esophageal cancer at four participating institutions were enrolled in this study. Patient background, clinicopathological factors, and blood concentration of plasma fibrinogen and albumin were collected. Patients with elevated fibrinogen and decreased albumin levels were allocated a score of 2; those with only one of these abnormalities were allocated a score of 1; and those with neither of these abnormalities were allocated a score of 0. Recurrence-free survival (RFS) and overall survival (OS) were evaluated as a primary endpoint. RESULTS: From four participating institutions, 133 patients were registered for the current analysis. The distribution of FA score of 0/1/2 was 84 (63%)/34 (26%)/15 (11%), respectively. In the analysis of primary endpoint, the preoperative FA score significantly classified RFS (FA score 1/2: HR 2.546, p = 0.013/6.989, p < 0.001) and OS (FA score 1/2: HR 2.756, p = 0.010/6.970, p < 0.001). We further evaluated the prognostic significance of FA score under stratification by pStage. As a result, with increasing FA score, RFS and OS were significantly worse in both pStage 0-I and II-IV groups. CONCLUSIONS: The prognostic impact of preoperative FA score was confirmed for esophageal cancer patients in the current multicenter prospective trial. FA score can be considered to predict postoperative survival and rearrange the treatment strategy before esophagectomy.