Cluster of Differentiations 73 (CD73)/ecto-5'-nucleotidase (NT5E) is a novel type of immune molecular marker expressed on many tumor cells and involved in regulating the essential immune functions and affecting the prognosis of cancer patients. However, it is not clear how the NT5E is linked to the infiltration levels of the immune cells in pan-cancer patients and their final prognosis. This study explores the role of NT5E in 33 tumor types using GEPIA, TIMER, Oncomine, BioGPS databases, and several bioinformatic tools. The findings reveal that the NT5E is abnormally expressed in a majority of the types of cancers and can be used for determining the prognosis prediction ability of different cancers. Moreover, NT5E is significantly related to the infiltration status of numerous immune cells, immune-activated pathways, and immunoregulator expressions. Last, specific inhibitor molecules, like NORNICOTINE, AS-703026, and FOSTAMATINIB, which inhibit the expression of NT5E in various types of cancers, are screened with the CMap. Thus, it is proposed that NT5E can be utilized as a potential biomarker for predicting the prognosis of cancer patients and determining the infiltration of various immune cells in different types of cancers.
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http://dx.doi.org/10.1002/adbi.202200263 | DOI Listing |
Nat Aging
January 2025
Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Insights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To develop and validate radiomics and deep learning models based on contrast-enhanced MRI (CE-MRI) for differentiating dual-phenotype hepatocellular carcinoma (DPHCC) from HCC and intrahepatic cholangiocarcinoma (ICC).
Methods: Our study consisted of 381 patients from four centers with 138 HCCs, 122 DPHCCs, and 121 ICCs (244 for training and 62 for internal tests, centers 1 and 2; 75 for external tests, centers 3 and 4). Radiomics, deep transfer learning (DTL), and fusion models based on CE-MRI were established for differential diagnosis, respectively, and their diagnostic performances were compared using the confusion matrix and area under the receiver operating characteristic (ROC) curve (AUC).
Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand controller, that can continuously control the position of multiple degrees of freedom of a prosthesis while rendering proprioceptive feedback to the user via a haptic feedback armband. Twenty-eight participants without and ten participants with upper limb difference (ULD) were recruited to holistically evaluate the physical and psychological effects of the controller via isolated control and sensory tasks, dexterity assessments, embodiment and task load questionnaires, and post-study interviews.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Informatics Science (CIS), School of Information Technology and Computer Science, Nile University, 26th of July Corridor, Sheikh Zayed City, Giza, 12588, Egypt.
Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis and machine learning techniques. We merged datasets from the Molecular Taxonomy of Breast Cancer International Consortium, Memorial Sloan Kettering Cancer Center, Duke University, and the SEER program, creating a comprehensive dataset of 272, 252 rows and 23 columns.
View Article and Find Full Text PDFPancreatology
January 2025
Division of Surgical Oncology, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address:
Background: The effectiveness and preferred reconstruction methods of pancreatectomy associated with vein resection (PAVR) for pancreatic cancer, especially for the extensive portal vein/superior mesenteric vein (PV/SMV) resections (more than 4 cm), are still subjects of debate. The aim of this study is to evaluate the safety and feasibility of PAVR by analyzing data from two large institutions from different regions.
Methods: From 2008 to 2018, we identified consecutive series of patients with pancreatic cancer who underwent PAVR at Karolinska University Hospital (KUH), Sweden, and Cancer Institute Hospital, Japanese Foundation of Cancer Research (JFCR), Japan.
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