LncRNA938/ TAF9/TTK axis promotes EMT and serves as a therapeutic target in hepatoblastoma.

Background: Hepatoblastoma (HB) is the most common malignant liver tumor in children. The expression of TAF9 is frequently upregulated in HB; however, its underlying molecular mechanisms are not yet fully understood, and its potential as a therapeutic target warrants further investigation.

Methods: Bioinformatic analysis was performed using sequencing datas to evaluate clinical diagnostic and prognostic values of molecules.

MANet: multi-attention network for polyp segmentation.

Currently, colonoscopy stands as the most efficient approach for detecting colorectal polyps. In clinical diagnosis, colorectal cancer is closely related to colorectal polyps. Therefore, precise segmentation of polyps holds paramount importance for the early detection and clinical diagnosis of colorectal cancer.

Radiomics-based machine-learning method to predict extrahepatic metastasis in hepatocellular carcinoma after hepatectomy: a multicenter study.

This study investigates the use of CT-based radiomics for predicting extrahepatic metastasis in hepatocellular carcinoma (HCC) following hepatectomy. We analyzed data from 374 patients from two centers (277 in the training cohort and 97 in an external validation cohort). Radiomic features were extracted from contrast-enhanced CT scans.

The Efficacy and Safety of Intrapancreatic Bile Duct Resection Applied in Type I of Congenital Bile Duct Dilation: A Multi-center Control Cohort Study.

Objective: To compare the efficacy and safety of radical extrahepatic cyst excision including the intrapancreatic bile duct (REC) and subtotal extrahepatic cyst excision preserving the intrapancreatic bile duct (SEC) in treating Todani type I congenital bile duct dilation (CBD) with intrapancreatic bile duct involvement (I-IPBD).

Background: The application of REC and SEC in I-IPBD remains debated.

Methods: The multicenter study recruited I-IPBDs who underwent REC or SEC from 5 centers between 2006 and 2024.

Application of computer-assisted surgery system in a child with multiple traumas: a case report.

Background: Severe traumatic liver rupture in children has a high mortality rate. The computer-assisted surgery (CAS) system is an effective medical image simulation tool, which can display the adjacent relationship between the liver and surrounding tissues (especially compressed blood vessels) in a three-dimensional (3D), dynamic and complete way, and assist in precise liver resection. It provides important guidance for preoperative planning and intraoperative navigation.

Exploring the role of LFNG in hepatoblastoma using multiomics and raise a query in proof link.

Background: Hepatoblastoma is a common tumor in childhood, characterized by immature histology and diverse cell lineages. The purpose of this study is to identify the genes that are abnormally expressed in hepatoblastoma, and to explore the targets of intercellular communication that affect the tumor immune microenvironment.

Methods: Through comprehensive analysis of gene expression from GSE133039 and GSE180664 data sets, the differentially expressed genes in cancer tissues and adjacent tissues were obtained.

A Novel Visual Model for Predicting Prognosis of Resected Hepatoblastoma: A Multicenter Study.

Rationale And Objectives: This study aimed to evaluate the application of a contrast-enhanced CT-based visual model in predicting postoperative prognosis in patients with hepatoblastoma (HB).

Materials And Methods: We analyzed data from 224 patients across three centers (178 in the training cohort, 46 in the validation cohort). Visual features were extracted from contrast-enhanced CT images, and key features, along with clinicopathological data, were identified using LASSO Cox regression.

International multidisciplinary consensus recommendations on clinical application of three-dimensional visualization in precision surgery for pediatric liver tumors.

Background: Pediatric liver tumors are predominantly primary malignant tumors, and complete tumor resection with sufficient preservation of liver tissue is crucial for improving prognosis. However, due to the delicate anatomical structure of the pediatric liver and the relatively large size of the tumors, especially in difficult cases, the surgical challenges are substantial. While precision liver surgery are widely applied in clinical practice, pediatric cases require more customized approaches.

The CLEC3B inhibits cellular proliferation and metastasis of cholangiocarcinoma through Wnt/β-catenin pathway.

Purpose: Cholangiocarcinoma (CCA) is a cancer of the biliary system, including intrahepatic and extrahepatic cholangiocarcinoma, and is highly aggressive. C-type lectins family member 3b (CLEC3B) is a Ca binding transmembrane protein with different biological functions in a variety of cancers. The objective of this study was to explore the biological function of CLEC3B in CCA.

Expression and Targeted Application of Claudins Family in Hepatobiliary and Pancreatic Diseases.

Hepatobiliary and pancreatic diseases are becoming increasingly common worldwide and associated cancers are prone to recurrence and metastasis. For a more accurate treatment, new therapeutic strategies are urgently needed. The claudins (CLDN) family comprises a class of membrane proteins that are the main components of tight junctions, and are essential for forming intercellular barriers and maintaining cellular polarity.

Textbook outcome of laparoscopic hepatectomy in the context of precision surgery: A single center experience.

Objective: Laparoscopic hepatectomy (LH) has become a common surgery for the treatment of liver tumor. To evaluate the surgical quality of laparoscopic hepatectomy under the context of precision surgery with Textbook outcome (TO), a comprehensive and holistic assessment approach.

Methods: A total of 1056 patients who underwent laparoscopic hepatectomy from May 2016 and December 2022 were enrolled in the study.

Pancreatobiliary reflux increases macrophage-secreted IL-8 and activates the PI3K/NFκB pathway to promote cholangiocarcinoma progression.

Background: Persistent pancreaticobiliary reflux (PBR) is associated with a high risk of biliary malignancy. This study aimed to evaluate the proportion of PBR in biliary tract diseases and mechanisms by which PBR promoted cholangiocarcinoma progression.

Methods: Overall 227 consecutive patients with primary biliary tract disease participated in this study.

Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery.

Background: Circulating eosinophils are associated with tumor development. An eosinophil-related index, the neutrophil to eosinophil ratio (NER), can be used to predict the prognosis of patients with tumors. However, there is still a lack of efficient prognostic biomarkers for HCC.

GCNT3 regulated MUC13 to promote the development of hepatocellular carcinoma through the GSK3β/β-catenin pathway.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Extensive research is currently directed at identifying novel targets for its diagnosis and treatment.

Aims: We investigated the biological functions and clinical significance of mucin-type N-acetylglucosaminyltransferase 3 (GCNT3) in HCC.

Disulfidptosis-associated long non-coding RNA signature predicts the prognosis, tumor microenvironment, and immunotherapy and chemotherapy options in colon adenocarcinoma.

Background: Disulfidptosis is independent of apoptosis, ferroptosis, and cuproptosis and is associated with cancer progression, treatment response, and prognosis. However, the predictive potential of disulfidptosis-associated lncRNAs in colon adenocarcinoma (COAD) and their features in the tumor immune microenvironment (TIME) require further elucidation.

Methods: RNA transcriptome, clinical information, and mutation data of COAD samples were obtained from the TCGA database.

FEN1 promotes cancer progression of cholangiocarcinoma by regulating the Wnt/β-catenin signaling pathway.

Purpose: Cholangiocarcinoma (CHOL) comprises a cluster of highly heterogeneous malignant biliary tumors. Flap endonuclease-1 (FEN1) is a member of the Rad2 structure-specific nuclease family. This study aimed to explore the biological functions and mechanisms of FEN1 in CHOL.

Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image.

Objective: The indocyanine green retention rate at 15 min (ICG-R15) is a useful tool to evaluate the functional liver reserve before hepatectomy for liver cancer. Taking ICG-R15 as criteria, we investigated the ability of a machine learning (ML)-based radiomics model produced by Gd-EOB-DTPA-enhanced hepatic magnetic resonance imaging (MRI) or contrast-enhanced computed tomography (CT) image in evaluating functional liver reserve of hepatocellular carcinoma (HCC) patients.

Methods: A total of 190 HCC patients with CT, among whom 112 also with MR, were retrospectively enrolled and randomly classified into a training dataset (CT: n = 133, MR: n = 78) and a test dataset (CT: n = 57, MR: n = 34).

New insights into a microvascular invasion prediction model in hepatocellular carcinoma: A retrospective study from the SEER database and China.

Background And Aims: The prognosis of liver cancer is strongly influenced by microvascular infiltration (MVI). Accurate preoperative MVI prediction can aid clinicians in the selection of suitable treatment options. In this study, we constructed a novel, reliable, and adaptable nomogram for predicting MVI.

Ensemble learning based on efficient features combination can predict the outcome of recurrence-free survival in patients with hepatocellular carcinoma within three years after surgery.

Preoperative prediction of recurrence outcome in hepatocellular carcinoma (HCC) facilitates physicians' clinical decision-making. Preoperative imaging and related clinical baseline data of patients are valuable for evaluating prognosis. With the widespread application of machine learning techniques, the present study proposed the ensemble learning method based on efficient feature representations to predict recurrence outcomes within three years after surgery.

Prognostic analysis of hepatocellular carcinoma with macrovascular invasion after liver resection and a successful case of conversion therapy.

Objective: Macrovascular invasion (MVI) is an important factor leading to poor prognosis in hepatocellular carcinoma (HCC). Liver resection may offer favorable prognosis for selected patients with HCC. This study aimed to analyze the prognostic factors of HCC with MVI after liver resection as well as demonstrate a case of conversion therapy in an HCC patient with portal vein tumor thrombus (PVTT).

The TTYH3/MK5 Positive Feedback Loop regulates Tumor Progression via GSK3-β/β-catenin signaling in HCC.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide, and identification of novel targets is necessary for its diagnosis and treatment. This study aimed to investigate the biological function and clinical significance of tweety homolog 3 (TTYH3) in HCC. TTYH3 overexpression promoted cell proliferation, migration, and invasion and inhibited HCCM3 and Hep3B cell apoptosis.

MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma.

Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) directly affects a patient's prognosis. The development of preoperative noninvasive diagnostic methods is significant for guiding optimal treatment plans. In this study, we investigated 138 patients with HCC and presented a novel end-to-end deep learning strategy based on computed tomography (CT) radiomics (MVI-Mind), which integrates data preprocessing, automatic segmentation of lesions and other regions, automatic feature extraction, and MVI prediction.

A Novel Multimodal Radiomics Model for Predicting Prognosis of Resected Hepatocellular Carcinoma.

Objective: To explore a new model to predict the prognosis of liver cancer based on MRI and CT imaging data.

Methods: A retrospective study of 103 patients with histologically proven hepatocellular carcinoma (HCC) was conducted. Patients were randomly divided into training (n = 73) and validation (n = 30) groups.