Identification of 6 gene markers for survival prediction in osteosarcoma cases based on multi-omics analysis.

ABSTRACT: Multiple-omics sequencing information with high-throughput has laid a solid foundation to identify genes associated with cancer prognostic process. Multiomics information study is capable of revealing the cancer occurring and developing system according to several aspects. Currently, the prognosis of osteosarcoma is still poor, so a genetic marker is needed for predicting the clinically related overall survival result. First, Office of Cancer Genomics (OCG Target) provided RNASeq, copy amount variations information, and clinically related follow-up data. Genes associated with prognostic process and genes exhibiting copy amount difference were screened in the training group, and the mentioned genes were integrated for feature selection with least absolute shrinkage and selection operator (L

SUBMITTER: Li R 

PROVIDER: S-EPMC8283252 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature