Tumor metastasis and recurrence are urgent clinical problems in tumor treatment. Recurrence-free survival (RFS), Metastasis-free survival (MFS) and differentially expressed genes (DEGs) analyses may enable finding and validating effective markers to predict prognosis and the occurrence of metastasis and recurrence.
OSdream can be used to explore Recurrence-free survival (RFS) and Metastasis-free survival (MFS) for gene of interest in one certain tumor. Moreover, the database could also perform differentially expressed genes (DEGs) analysis between no metastasis and metastasis, between no recurrence and recurrence.
The data used in OSdream come from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus). The typies of data used in OSdream are RNA seq (TCGA) and Gene chip (GEO).
(1) Analysis in RFS module
First, you should input the gene symbol, then select cancer type that you get ready to study, and select different datasets in Data source column. In addition, you can also select diffenent cut-off and clinical index, to detect the role of the interested gene in Recurrence-free survival in different crowds.
After you input the above indicators, please click "plot", the Kaplan Meier plot will be identified out.
Gene and clinical indexes with prognostic value are included in the nomogram analysis. The univariate and multivariate cox regression analysis are shown in the following table.
(2) Analysis in MFS module
The operation is the same as in the RFS module.
(3) Analysis in DEGs of Recurrence module
The differentially expressed analysis of certain gene in samples retrieved from patients with and without recurrence.
If you are ready to analyze the expression of multiple genes between recurrence and no recurrence group, the differential expression results for every genes and the heatmap for multiple genes are shown.
(4) Analysis in DEGs of Metastasis module
The operation is the same as in the DEGs of Recurrence module.
For metastasis-related data, we set two kinds of packet mode which was listed as follows:
(1) Primary tumor without metastasis vs Primary tumor with metastasis (different patients)
(2) Primary tumor vs Metastatic tumor (the same patient).
Copyright © 2021 Biomedical Informatics Institute