Cancer patients have an increased risk of venous thromboembolism (VTE) which is their second cause of death after disease progression itself. Several thrombotic risk factors coexist in cancer patients, including the ability of both cancer and tumoral microenvironment's cells to directly or indirectly activate platelets and the enzymes of the coagulation cascade, resulting in a hyper-coagulable state of blood. This narrative review gives an overview of the main mechanisms leading to VTE in cancer patients, including the role that platelets and the clotting proteins may have in tumor growth and metastasis. Noteworthy, the haemostatic balance is altered in cancer patients who may, next to a thrombosis tendency, also have an increased risk of bleeding. To highlight the complexity and the precariousness of the haemostatic balance of these patients, we discuss two specific gastrointestinal malignancies: hepatocellular carcinoma, which is frequently associated with liver cirrhosis, a condition that causes profound alterations of haemostasis, and colorectal cancer, which is characterized by a fragile mucosa that is prone to bleeding. Understanding the molecular mechanisms of cancer-associated thrombosis may give a unique opportunity to develop new innovative drugs, acting differently on distinct pathways and potentially allowing to reduce the risk of bleeding related to antithrombotic therapies. The topic is significant because understanding the molecular mechanisms leading to cancer associated thrombosis and bleeding, focusing on gastrointestinal malignancies, enables the development of more rationale and innovative antithrombotic strategies for cancer associated thrombosis. Eventually, this will support an improved and patient-tailored antithrombotic management in vulnerable oncologic patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1124/jpet.124.002203 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Med Phys
January 2025
OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Background: Patient-specific quality assurance (PSQA) is a crucial yet resource-intensive task in proton therapy, requiring special equipment, expertise and additional beam time. Machine delivery log files contain information about energy, position and monitor units (MU) of all delivered spots, allowing a reconstruction of the applied dose. This raises the prospect of phantomless, log file-based QA (LFQA) as an automated replacement of current phantom-based solutions, provided that such an approach guarantees a comparable level of safety.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Background: Diffusing alpha-emitters Radiation Therapy ("Alpha DaRT") is a promising new radiation therapy modality for treating bulky tumors. Ra-carrying sources are inserted intratumorally, producing a therapeutic alpha-dose region with a total size of a few millimeter via the diffusive motion of Ra's alpha-emitting daughters. Clinical studies of Alpha DaRT have reported 100% positive response (30%-100% shrinkage within several weeks), with post-insertion swelling in close to half of the cases.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Anaplastic thyroid cancer (ATC) is a highly lethal disease, often diagnosed with advanced locoregional and distant metastases, resulting in a median survival of just 3-5 months. This study determines the stratified effectiveness of baseline treatments in all combinations, enabling precise prognoses prediction and establishing benchmarks for advanced therapeutic options.
Methods: The study extracted a cohort of pathologically confirmed ATC patients from the Surveillance, Epidemiology, and End Results program.
Ann Surg Oncol
January 2025
Department of Surgery, National Defense Medical College, Tokorozawa, Saitama, Japan.
Background: Tumor size (TS) in pancreatic ductal adenocarcinoma (PDAC) is one of the most important prognostic factors. However, discrepancies between TS on preoperative images (TSi) and pathological specimens (TSp) have been reported. This study aims to evaluate the factors associated with the differences between TSi and TSp.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!