Results 141 to 150 of about 59,311 (364)
Studying the emergence of invasiveness in tumours using game theory [PDF]
Tumour cells have to acquire a number of capabilities if a neoplasm is to become a cancer. One of these key capabilities is increased motility which is needed for invasion of other tissues and metastasis. This paper presents a qualitative mathematical model based on game theory and computer simulations using cellular automata.
arxiv +1 more source
Pancreatic tumors imaging: an update [PDF]
Currently, ultrasound (US), computed tomography (CT) and Magnetic Resonance imaging (MRI) represent the mainstay in the evaluation of pancreatic solid and cystic tumors affecting pancreas in 80-85% and 10-15% of the cases respectively. Integration of US,
Baccari, Paolo+8 more
core +1 more source
The N‐acetyltransferase‐10 (NAT10)‐mediated mRNA N4‐acetylcytidine modification enhances the stability of CXCL2 and KLF5 mRNA. Then, secreted CXCL2 promotes M2 macrophage polarization and oncostatin M secretion, activating NAT10 expression via STAT3 signaling.
Chen Chen+17 more
wiley +1 more source
Background/Aims: Diagnostic tests for carcinoembryonic antigen (CEA) in ascites have been performed in various malignant cases, but there is only few data on the applicability of CEA for colorectal cancer (CRC) patients with peritoneal carcinomatosis. We
Sung Eun Song+7 more
doaj +1 more source
Tumour-Associated Transplantation Antigens of Neoplasms Induced by a Naturally Occurring Murine Sarcoma Virus (FBJ-MSV) [PDF]
FBJ osteosarcoma virus (FBJ-MSV) isolated originally from a spontaneously arising osteosarcoma in a CF1 mouse is the only known naturally occurring murine sarcoma virus (MSV).
Jones, David B., Moore, Michael
core +2 more sources
The multimodal AI‐based RSA model is a powerful tool for diagnosing GC‐CY1, offering significant advantages over traditional diagnostic methods. By combining radiomic and clinical data, the model achieves superior predictive performance, providing a non‐invasive, accurate, and rapid alternative for detecting peritoneal involvement in gastric cancer ...
Ping'an Ding+15 more
wiley +1 more source
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images [PDF]
Background and Objective: Non-invasively predicting the risk of cancer metastasis before surgery plays an essential role in determining optimal treatment methods for cancer patients (including who can benefit from neoadjuvant chemotherapy). Although developing radiomics based machine learning (ML) models has attracted broad research interest for this ...
arxiv
Primary Leiomyosarcoma of Ovary [PDF]
Primary ovarian leiomyosarcomas is a rare neoplasm which comprises less than 3% of ovarian tumors. Their origin, etiology, histologic features, clinical behavior, and optimal treatment are still obscure.
Kaul, R, Sharma, J
core
BEV-IP : perioperative chemotherapy with bevacizumab in patients undergoing cytoreduction and intraperitoneal chemoperfusion for colorectal carcinomatosis [PDF]
Background: Selected patients with peritoneal carcinomatosis (PC) from colorectal cancer (CRC) benefit from cytoreductive surgery (CRS) combined with intraperitoneal chemoperfusion (IPC).
Ceelen, Wim+3 more
core +2 more sources
Tirzepatide, a dual GIP/GLP‐1 receptor agonist for diabetes, suppresses colorectal cancer growth by targeting glucose metabolism. It inhibits cancer cell proliferation, promotes apoptosis, and induces tumor regression. It reduces glucose uptake and destabilizes HIF‐1α for degradation to downregulate PFKFB3/PFK‐1 enzymes, thus contributing to the ...
Yikai Zhang+11 more
wiley +1 more source