We examined the association between serum uric acid (UA) levels and cancer incidence through a conventional observational and two-sample Mendelian randomization (MR) study in the same population (triangulation). We followed 13,695 individuals aged 35-69 years for cancer incidence (total, gastric, colorectal, lung, prostate, and breast cancers) over a median period of 10.6 years. The conventional… Continue reading Triangulating Evidence on Serum Uric Acid and Cancer Risk: Consistent Inverse Associations With Lung Cancer
Tag: cancer
Non-invasive prediction of occult peritoneal metastasis (OPM) in gastric cancer using logistic regression and random forest integrative models with CT radiomics and clinical parameters: machine learning prediction of gastric OPM
Background: Occult peritoneal metastasis (OPM) in gastric cancer is frequently missed on preoperative contrast-enhanced computed tomography (CT), leading to understaging in about 30-40% of patients and necessitating invasive laparoscopy for confirmation. A non-invasive tool to preoperatively identify OPM would help avoid unnecessary surgery and guide individualized treatment, but existing models lack interpretability and do not… Continue reading Non-invasive prediction of occult peritoneal metastasis (OPM) in gastric cancer using logistic regression and random forest integrative models with CT radiomics and clinical parameters: machine learning prediction of gastric OPM
Artificial intelligence-assisted histopathological diagnosis of endocervical gastric-type adenocarcinoma: a multicenter model development and validation study
Endocervical gastric-type adenocarcinoma (GAS) is one of the most aggressive subtypes of cervical cancer and is frequently underdiagnosed due to morphological ambiguity, leading to delayed diagnosis. Despite the availability of molecular and genomic assays, their high cost, complexity, and limited reproducibility restrict clinical use. This study therefore proposes a highly sensitive artificial intelligence (AI)-assisted diagnostic… Continue reading Artificial intelligence-assisted histopathological diagnosis of endocervical gastric-type adenocarcinoma: a multicenter model development and validation study
Colorectal cancer incidence and mortality by age group, colon location, and histology in Canada
Background: Colorectal cancer (CRC) incidence is increasing among younger individuals in many countries. We examined CRC incidence and mortality by age group, site, and histology in Canada.Methods: Data from the Canadian Cancer Registry and the Canadian Vital Statistics Death Database were used to determine CRC incidence from 1992 to 2019 and mortality from 1974 to… Continue reading Colorectal cancer incidence and mortality by age group, colon location, and histology in Canada
Hypoglycemia unmasking a giant pulmonary solitary fibrous tumor: a case report
Background: Hypoglycemia may result from multiple clinical conditions which are categorized based on clinical status. The first principal step in clinical diagnostic evaluation is measurement of plasma insulin, c-peptide, pro-insulin, and beta-hydroxybutyrate levels. One of the rare causes of hypoglycemia is a group of disorders known as non-islet cell tumor hypoglycemia (NICT), which results from… Continue reading Hypoglycemia unmasking a giant pulmonary solitary fibrous tumor: a case report
Tumor growth suppression of ivermectin in gastric cancer cell lines and primary gastric cancer organoids
Background: Ivermectin suppresses tumor growth in various cancers. However, the mechanism of action in cancer remains unclear. This study aimed to investigate the anticancer activity of ivermectin against gastric cancer cell lines and patient-derived organoids.Methods: Cell viability was measured in SNU719 and SNU620 gastric cancer cell lines. Protein expression levels of apoptosis-related markers were analyzed… Continue reading Tumor growth suppression of ivermectin in gastric cancer cell lines and primary gastric cancer organoids
Full- vs Reduced-Dose Direct Oral Anticoagulants for Extended Treatment of Cancer-Associated Thrombosis: A Multicenter Retrospective Cohort Study
Extended anticoagulation is recommended in subjects with cancer-associated thrombosis (CAT). The API-CAT trial showed that reduced-dose apixaban is noninferior to full-dose for preventing recurrent venous thromboembolism (VTE), but the generalizability of these findings to real-world populations remains to be determined. We conducted a multicenter retrospective cohort study including patients with CAT receiving extended direct oral… Continue reading Full- vs Reduced-Dose Direct Oral Anticoagulants for Extended Treatment of Cancer-Associated Thrombosis: A Multicenter Retrospective Cohort Study
Spirituality, symptom burden and palliative care needs assessed by the Palliative Outcome Scale in those with cancer: a cross-sectional study
Background: Understanding symptom prevalence and #palliative care needs is essential to advancing palliative care research in South America. This study aimed to assess these outcomes using the Palliative Outcome Scale (POS) and explore their relationship with the self-rated importance of spirituality.Methods: A cross-sectional study was conducted among adult persons with cancer receiving palliative care at… Continue reading Spirituality, symptom burden and palliative care needs assessed by the Palliative Outcome Scale in those with cancer: a cross-sectional study
Survival and Recurrence With GLP-1 Receptor Agonists in Breast Cancer
Importance: Patients with #breast cancer (BC) with comorbid #obesity or type 2 #diabetes (T2D) experience poorer survival. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are approved to treat these comorbidities; however, their associations with BC survival and recurrence remain unclear.Objective: To evaluate the association between GLP-1 RA use and 10-year all-cause mortality and recurrence-free survival (RFS)… Continue reading Survival and Recurrence With GLP-1 Receptor Agonists in Breast Cancer
