Abstract
AbstractBackgroundMetastasis is the primary cause of prostate cancer-related deaths. However, the underlying molecular mechanisms and evolutionary patterns remain largely uncharacterized.MethodsWe evaluate the heterogeneity and genomic evolution of prostate cancer with multi-organ metastases. The samples include 32 primary samples, 23 lymph node metastases, 22 bone metastases, 16 liver metastases, and four pelvic mess metastases. They are analyzed to identify the mutated genes enriched in metastatic samples, selected by metastases, and leading to different long-distance migrations. These metastasis-related alterations constitute a Mscore for evaluating the metastatic risk of primary prostate tumors.ResultsOur analysis discovers 21 metastasis-related mutated genes in total. Of them, 14 genes are finally selected for metastatic risk prognosis, including the mutations ofARandKMT2Cwith high prediction ability. A Mscore established with these 14 characteristics by the xgboost model displays its ability to classify primary tumors and metastases. This score can further divide primary prostate tumors from the TCGA cohort into two groups. The two subsets present significantly differential survival risks. This score can also identify metastasis-featured primary tumors for breast cancer, bladder cancer, liver cancer, and uterine corpus endometrial carcinoma.ConclusionOur research proposes 14 molecular features potentially driving prostate cancer metastasis. The Mscore established on them can estimate the metastatic risk of primary tumors.
Publisher
Cold Spring Harbor Laboratory