Oncology Informatics for Lynch Syndrome Research and Care: A Literature Review.
Mahsa Dehghani SoufiPeyman Rezaei HachesuReza FerdousiPublished in: JCO clinical cancer informatics (2022)
Reviewing the literature reveals that several LS informatics tools were focused on gene-specific estimate, cancer risk prediction, identifying/screening patients, supporting personalized care of individuals with LS, and storing mismatch repair mutations information. Nevertheless, these platforms do not fully cover the care and research purposes. For instance, future developments of LS tools require more attention to dynamic knowledgebase, extra-colonic lynch-related cancers on the basis of precision medicine, variants of unknown significance, and support from diagnosis to surveillance for patient follow-up. Insights and recommendations provided in this study could help researchers and developers to meet the existing challenges in future developments.
Keyphrases
- palliative care
- healthcare
- case report
- quality improvement
- end stage renal disease
- public health
- newly diagnosed
- systematic review
- ejection fraction
- pain management
- chronic kidney disease
- genome wide
- prognostic factors
- machine learning
- peritoneal dialysis
- clinical practice
- dna methylation
- drug induced
- social media
- ulcerative colitis