Relationship of Histopathologic Parameters and Gene Expression Profiling in Malignant Melanoma.
Alexis G StrahanIvan ŠvageljDrazen JukicPublished in: American journal of clinical dermatology (2023)
An association, but no definitive prediction, exists between histopathologic categories of depth of invasion, melanoma subtype, and presence or absence of ulcer and gene expression profiles. GEP adds valuable data to the evaluation of malignant melanomas that cannot be definitively predicted by conventional models. The findings add to needed groundwork for comparison of traditional markers and molecular genotyping and begins to build a robust predictive model for better outcomes in patients with malignant melanoma.
Keyphrases
- gene expression
- genome wide
- dna methylation
- cell migration
- copy number
- electronic health record
- high throughput
- single cell
- optical coherence tomography
- big data
- locally advanced
- genome wide identification
- squamous cell carcinoma
- skin cancer
- genetic diversity
- metabolic syndrome
- machine learning
- rectal cancer
- artificial intelligence
- basal cell carcinoma
- deep learning