Background: Esophageal squamous cell carcinoma (ESCC) is the sixth most lethal cancer worldwide and the fourth most lethal cancer in China. Genomic characterization of tumors, particularly those of different stages, is likely to reveal additional oncogenic mechanisms. Although copy number alterations and somatic point mutations associated with the development of ESCC have been identified by array-based technologies and genome-wide studies, the genomic characterization of ESCCs from different stages of the disease has not been explored. Here, we have performed either whole-genome sequencing or whole-exome sequencing on 51 stage I and 53 stage III ESCC patients to characterize the genomic alterations that occur during the various clinical stages of ESCC, and further validated these changes in 36 atypical hyperplasia samples. Results: Recurrent somatic amplifications at 8q were found to be enriched in stage I tumors and the deletions of 4p-q and 5q were particularly identified in stage III tumors. In particular, the FAM84B gene was amplified and overexpressed in preclinical and ESCC tumors. Knockdown of FAM84B in ESCC cell lines significantly reduced in vitro cell growth, migration and invasion. Although the cancer-associated genes TP53, PIK3CA, CDKN2A and their pathways showed no significant difference between stage I and stage III tumors, we identified and validated a prevalence of mutations in NOTCH1 and in the NOTCH pathway that indicate that they are involved in the preclinical and early stages of ESCC. Conclusions: Our results suggest that FAM84B and the NOTCH pathway are involved in the progression of ESCC and may be potential diagnostic targets for ESCC susceptibility.

Bladder cancer (BC) in the urinary system remains one of the most prevalent malignancies with high recurrence rate globally. Current treatment schemes against BC such as surgery, chemotherapy, and radiotherapy have substantial limitations including side effects, drug resistance, and poor tumor targeting. Considering the above-mentioned challenges, nanotechnology has become a current research hotspot, particularly liposome-based drug delivery systems, which offer promising novel therapeutic strategies aimed at reducing systemic toxicity, overcoming drug resistance, and enhancing drug targeting. This review systematically elaborates the current research progress on liposomal drug delivery systems in BC treatment, focusing on their application in chemotherapy, immunotherapy, and gene therapy. Additionally, we provide a comprehensive assessment of the benefits and limitations of liposome nanocarriers used in BC treatment. The advanced targeting strategies and combination treatments via liposomal therapies are also discussed, demonstrating that liposomal formulations have great potential application value in the treatment of BC owing to their superior bioavailability, stability, and targeting and minimal adverse effects.

Class imbalance is a dominant challenge in medical image segmentation when dealing with MRI images from highly imbalanced datasets. This study introduces a comprehensive, multifaceted approach to enhance the accuracy and reliability of segmentation models under such conditions. Our model integrates advanced data augmentation, innovative algorithmic adjustments, and novel architectural features to address class label distribution effectively. To ensure the multiple aspects of training process, we have customized the data augmentation technique for medical imaging with multi-dimensional angles. The multi-dimensional augmentation technique helps to reduce the bias towards majority classes. We have implemented novel attention mechanisms, i.e., Enhanced Attention Module (EAM) and spatial attention. These attention mechanisms enhance the focus of the model on the most relevant features. Further, our architecture incorporates a dual decoder system and Pooling Integration Layer (PIL) to capture accurate foreground and background details. We also introduce a hybrid loss function, which is designed to handle the class imbalance by guiding the training process. For experimental purposes, we have used multiple datasets such as Digital Database Thyroid Image (DDTI), Breast Ultrasound Images Dataset (BUSI) and LiTS MICCAI 2017 to demonstrate the prowess of the proposed network using key evaluation metrics, i.e., IoU, Dice coefficient, precision, and recall. Graphical Abstract

Iatrogenic nerve injury is a significant complication in surgery, which can negatively impact patients’ quality of life. Currently, the main clinical neuroimaging methods, such as computed tomography, magnetic resonance imaging, and high-resolution ultrasonography, do not offer precise real-time positioning images for doctors during surgery. The clinical application of optical molecular imaging technology has led to the emergence of new concepts such as optical molecular imaging surgery, targeted surgery, and molecular-guided surgery. These advancements have made it possible to directly visualize surgical target areas, thereby providing a novel method for real-time identification of nerves during surgery planning. Unlike traditional white light imaging, optical molecular imaging technology enables precise positioning and identifies the cation of intraoperative nerves through the presentation of color images. Although a large number of experiments and data support its development, there are few reports on its actual clinical application. This paper summarizes the research results of optical molecular imaging technology and its ability to realize neural visualization. Additionally, it discusses the challenges neural visualization recognition faces and future development opportunities.

Hernia is a common condition requiring abdominal surgery. The current standard treatment for hernia is tension-free repair using meshes. Globally, more than 200 new types of meshes are licensed each year. However, their clinical applications are associated with a series of complications, such as recurrence (10% - 24%) and infection (0.5% - 9.0%). In contrast, 3D-printed meshes have significantly reduced the postoperative complications in patients. They have also shortened operating time and minimized the loss of mesh materials. In this study, we used the myopectineal orifice (MPO) data obtained from preoperative computer tomography (CT)-based 3D reconstruction for the production of 3D-printed biologic meshes. To investigate the application of multislice spiral CT-based 3D reconstruction technique in 3D-printed biologic mesh for hernia repair surgery. We retrospectively analyzed 60 patients who underwent laparoscopic tension-free repair for inguinal hernia in the Department of General Surgery of the First Hospital of Shanxi Medical University from September 2019 to December 2019. This study included 30 males and 30 females, with a mean age of 40 ± 5.6 years. Data on the MPO were obtained from preoperative CT-based 3D reconstruction as well as from real-world intraoperative measurements for all patients. Anatomic points were set for the purpose of measurement based on the definition of MPO: A: The pubic tubercle; B: Intersection of the horizontal line extending from the summit of the inferior edge of the internal oblique and transversus abdominis and the outer edge of the rectus abdominis, C: Intersection of the horizontal line extending from the summit of the inferior edge of the internal oblique and transversus abdominis and the inguinal ligament, D: Intersection of the iliopsoas muscle and the inguinal ligament, and E: Intersection of the iliopsoas muscle and the superior pubic ramus. The distance between the points was measured. All preoperative and intraoperative data were analyzed using the t test. Differences with P < 0.05 were considered significant in comparative analysis. The distance between points AB, AC, BC, DE, and AE based on preoperative and intraoperative data was 7.576 ± 0.212 cm vs 7.573 ± 0.266 cm, 7.627 ± 0.212 cm vs 7.627 ± 0.212 cm, 7.677 ± 0.229 cm vs 7.567 ± 0.786 cm, 7.589 ± 0.204 cm vs 7.512 ± 0.21 cm, and 7.617 ± 0.231 cm vs 7.582 ± 0.189 cm, respectively. All differences were not statistically significant (P > 0.05). The use of multislice spiral CT-based 3D reconstruction technique before hernia repair surgery allows accurate measurement of data and relationships of different anatomic sites in the MPO region. This technique can provide precise data for the production of 3D-printed biologic meshes.