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Emerging Technologies and Data Science

Studies, methods, and large datasets that employ computational biology, high-throughput techniques, imaging, physical sciences, or engineering to investigate cancer biology

Latest in Emerging Technologies and Data Science
Sumit K. Shah, Marie-Rachelle Narcisse et al.
Timely receipt of colorectal cancer screening can reduce morbidity and mortality. This is the first known study to adopt Andersen's model of health services use to identify factors associated with colorectal cancer screening among U.S. adults. The data from National Health Interview Survey from 2019 was utilized to ...
Adam B. Francisco, Jine Li et al.
Fibrolamellar carcinoma (FLC) is an aggressive liver cancer with no effective therapeutic options. The extracellular environment of FLC tumors is poorly characterized and may contribute to cancer growth and/or metastasis. To bridge this knowledge gap, we assessed pathways relevant to proteoglycans, a major component of ...
Kasper Bruun Kristensen, Søren Friis et al.
The main tool in drug safety monitoring, spontaneous reporting of adverse effects, is unlikely to detect delayed adverse drug effects including cancer. Hypothesis-free screening studies based on administrative data could improve ongoing drug safety monitoring. Using Danish health registries, we conducted a series of ...
Aryana Javaheri, Yonina Bykov et al.
Avulaviruses represent a diverse subfamily of non-segmented negative strand RNA viruses infecting avian species worldwide. To date, 22 different serotypes have been identified in a variety of avian hosts, including wild and domestic birds. APMV-1, also known as Newcastle disease virus (NDV), is the only avulavirus that ...
Jason Roszik, J. Jack Lee et al.
Inflammation is a cancer hallmark. Nonsteroidal anti-inflammatory drugs (NSAIDs) improve overall survival (OS) in certain cancers. Real-world studies explored here if NSAIDs improve non-small cell lung cancer (NSCLC) OS. Analyses independently interrogated clinical databases from The University of Texas MD Anderson ...
Victoria Hoskin, Abdi Ghaffari et al.
The main cause of cancer-associated deaths is the spread of cancer cells to distant organs. Despite its success in the primary tumor setting, modern chemotherapeutic strategies are rendered ineffective at treating metastatic disease, largely due to the development of resistance. The adaptor protein ezrin has been shown to ...
Laxmi Silwal-Pandit, Stina M. Stålberg et al.
Pancreatic cancer remains a disease with unmet clinical needs and inadequate diagnostic, prognostic, and predictive biomarkers. In-depth characterization of the disease proteome is limited. This study thus aims to define and describe protein networks underlying pancreatic cancer and identify protein centric subtypes with ...
Galaxia M. Rodriguez, Kristianne J.C. Galpin et al.
Epithelial ovarian cancer (EOC) is the most lethal gynecologic cancer with an imperative need for new treatments. Immunotherapy has had marked success in some cancer types; however, clinical trials studying the efficacy of immune checkpoint inhibitors for the treatment of EOC benefited less than 15% of patients. Given ...
Mary Jo Fackler, Suzana Tulac et al.
Current molecular liquid biopsy assays to detect recurrence or monitor response to treatment require sophisticated technology, highly trained personnel, and a turnaround time of weeks. We describe the development and technical validation of an automated Liquid Biopsy for Breast Cancer Methylation (LBx-BCM) prototype, a ...
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