Kevin M Elias, Wojciech Fendler ... Dipanjan Chowdhury
Application of machine learning to serum miRNA profiles generated through next generation sequencing identifies a biologically relevant miRNA signature which can be deployed as a qPCR test to assist the diagnosis of epithelial ovarian cancer.
Exosomal CD54 can be used as an effective biomarker for esophageal squamous cell carcinoma and CD54 promotes the proliferation and migration of tumor cells in vitro.
Diagnosing the presence and clinical significance of prostate cancer can be achieved using AI-based analysis of peripheral blood natural killer (NK) cell subset profiles.
Investigating standard lag times prior to the pandemic and identifying key methodological considerations in lag time research can guide future investigations into the impact of time to care for patients with cancer.
Agnieszka Lemanska, Colm Andrews ... Alex J Walker
COVID-19 negatively affected pancreatic cancer care by reducing surgical resections and pre-diagnostic testing with BMI and HbA1c, and it also negatively affected the quality of data for research.
A model based on empirical parameter estimates predicts that arresting cancer cell growth by less than 1% per day will produce optimal outcomes in preventing life-threatening cancers, and that such preventive measures are generally more successful than post-diagnostic interventions.
A certain type of primary cancer may cause another second primary cancer which would be of clinical importance to make a personalized screening plan for certain primary cancer patients.
A diverse and substantial impact of the COVID-19 pandemic on cancer care is observed, including delays in treatment, screening, and diagnosis, as well as on the psychosocial welling of patients with cancer.