Cancer research
Research findings from the University of Hong Kong have shed light on the significance of glycaemic control in preventing pancreatic cancer in patients with type 2 diabetes. The study, published in Gut, a peer-reviewed journal, aimed to investigate the effects of glycaemic control on pancreatic cancer development in patients with
Cancer research
Researchers at Sun Yat-sen University have made significant progress in identifying a predictive gene index for early-stage colorectal cancer (CRC) using a novel approach that integrates prognosis-related genes with immune-related gene signatures. The study, published in Translational Cancer Research, aims to provide a personalized gene index to estimate prognosis and
Cancer research
A new study from the Second Affiliated Hospital of Soochow University in Suzhou, People's Republic of China, has evaluated the efficacy of PRaG therapy, a combination of programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) inhibitors, radiotherapy, and granulocyte-macrophage colony-stimulating factor, in overcoming resistance
Cancer research
Investigators at the University of Paris have published new research on the effectiveness of anti-EGFR rechallenge therapy in metastatic colorectal cancer. The study, titled "Circulating Tumor Dna Driving Anti-egfr Rechallenge Therapy In Metastatic Colorectal Cancer: the Rasintro Prospective Multicenter Study," suggests that patients with RAS/BRAF wild-type metastatic
Cancer research
Research conducted by scientists at Bengbu Medical University has shed new light on the role of long non-coding RNA (lncRNA) FEZF1-AS1 in non-small cell lung cancer (NSCLC) tumorigenesis and ferroptosis. The study found that FEZF1-AS1 promotes NSCLC progression through suppressing ferroptosis by activating the tumor necrosis factor-alpha (TNF-a)/nuclear factor-kappa
Cancer research
Research conducted at the Gansu University of Chinese Medicine in People's Republic of China has led to a potential breakthrough in the treatment of non-small cell lung cancer (NSCLC). The study, published in the journal Frontiers in Oncology, investigates the benefits and risks of combining Fuzheng Yiliu Decoction,
Cancer research
Researchers at Nanchang University have made a significant breakthrough in the diagnosis of non-small cell lung cancer (NSCLC) by developing a non-invasive method to predict epidermal growth factor receptor (EGFR) gene mutations. This method uses multi-parameter CT perfusion imaging (CTPI) to analyze blood volume, transit time, and perfusion surface in
Cancer research
Research conducted by Qingdao Municipal Hospital in Shandong, People's Republic of China, has shown that combining radiotherapy with anti-angiogenic therapy, immune checkpoint inhibitors, and chemotherapy can be effective in prolonging the survival of patients with advanced non-small cell lung cancer (NSCLC). The study, published in Frontiers in Oncology,
Cancer research
A recent study published in the American Journal of Clinical Oncology has found that adjuvant alectinib is a more effective and cost-effective treatment option compared to platinum-based chemotherapy for patients with resectable (stage IB to IIIA) ALK+ non-small cell lung cancer. The study, conducted by researchers at Genentech Inc., evaluated
Cancer research
A new study has shed light on the genetic alterations and microRNAs (miRNAs) that play a crucial role in lung cancer progression. According to the research, lung cancer is the most frequently diagnosed type of cancer worldwide, with key genetic alterations involving driver gene mutations that significantly enhance cancer aggressiveness.
Cancer research
A study published in the Journal of Thoracic Disease has found that elderly patients undergoing lung cancer surgery are at a high risk of developing postoperative atrial fibrillation (POAF), which can lead to serious complications such as heart failure, myocardial infarction, pulmonary embolism, and ischemic stroke. The study aimed to
Cancer research
Researchers from Chongqing University have developed a machine learning model using clinical laboratory data to predict lymph node invasion and skip metastasis in lung cancer. The study analyzed 1,629 cases of lung cancer, categorizing them into two groups based on the TNM stage: Group N (861 cases) and Group
