The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms "model" and "Big Data" have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051595 | PMC |
http://dx.doi.org/10.15430/JCP.2016.21.3.201 | DOI Listing |
Gastric Cancer
January 2025
Department of Medical Oncology, Hospital Clinico Universitario, INCLIVA, Biomedical Research Institute, University of Valencia, Avenida Menendez Pelayo nro 4 accesorio, Valencia, Spain.
Introduction: Gastric cancer (GC) burden is currently evolving with regional differences associated with complex behavioural, environmental, and genetic risk factors. The LEGACy study is a Horizon 2020-funded multi-institutional research project conducted prospectively to provide comprehensive data on the tumour biological characteristics of gastroesophageal cancer from European and LATAM countries.
Material And Methods: Treatment-naïve advanced gastroesophageal adenocarcinoma patients were prospectively recruited in seven European and LATAM countries.
HGG Adv
January 2025
Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Inherited genetics represents an important contributor to risk of esophageal adenocarcinoma (EAC), and its precursor Barrett's esophagus (BE). Genome-wide association studies have identified ∼30 susceptibility variants for BE/EAC, yet genetic interactions remain unexamined. To address challenges in large-scale G×G scans, we combined knowledge-guided filtering and machine learning approaches, focusing on genes with (A) known/plausible links to BE/EAC pathogenesis (n=493) or (B) prior evidence of biological interactions (n=4,196).
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Department Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Background: Anastomotic leakage (AL) is a major complication in colorectal surgery, particularly following rectal cancer surgery, necessitating effective prevention strategies. The increasing frequency of colorectal resections and anastomoses during cytoreductive surgery (CRS) for peritoneal carcinomatosis further complicates this issue owing to the diverse patient populations with varied tumor distributions and surgical complexities. This study aims to assess and compare AL incidence and associated risk factors across conventional colorectal cancer surgery (CRC), gastrointestinal CRS (GI-CRS), and ovarian CRS (OC-CRS), with a secondary focus on evaluating the role of protective ostomies.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Department of Plastic and Reconstructive Surgery, The Ohio State University, Columbus, OH, USA.
Leukemia
January 2025
Department of Translational Hematology & Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, 44114, USA.
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