April 2023 in “Journal of Investigative Dermatology” This study suggests that histological features of primary melanoma can partially predict lymph node metastasis using AI, achieving a best prediction AUROC of 0.65.
2 citations
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October 2023 in “Cancer Reports” This study found that colorectal cancer patients could be categorized into two groups based on mitochondrial-related gene features, with distinct survival outcomes and tumor microenvironment characteristics, suggesting these features could inform individualized treatment plans.
This study identified 193 plasma proteins associated with prostate cancer risk, validating 20 high-risk proteins including KLK3, and pinpointed potential drug targets like HSPB1, RRM2B, and PSCA through genetic analysis, offering new insights for biomarkers and treatments.
64 citations
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March 2017 in “Nature communications” This study identified 63 genetic loci associated with male-pattern baldness, uncovering genes and pathways that may help develop treatments and suggesting its connection to other human conditions.
43 citations
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December 2020 in “PLOS Genetics” This study used a new statistical approach, PLACO, to identify several novel shared genetic regions associated with both Type 2 Diabetes and Prostate Cancer in two large GWAS datasets.
