• Risk Prediction
      • HCC Risk Assessment
      • BRCA Risk Assessment
  • Cancer Prediction
    • Tumor Tissue Predictor

HCC Patient Risk Assessment Tool


Hepatocellular carcinoma patient risk assessment tool (HCC Patient Risk Assessment Tool) is an online tool. It only needs to input the expression value of the corresponding gene from tissues in the following input box, and the tool can analyze that the patient belongs to the high risk (low risk) group.

Input SPP1 gene expression values
Input CDC20 gene expression values
Input SFN gene expression values
Input LAPTM4B gene expression values



Kaplan–Meier estimates of the survival rate of patients in the low-risk and high-risk groups.







Kaplan–Meier curve analysis of overall survival in high-risk and low-risk groups for clinically relevant characteristics.








Reference
Liu Y X , Li Q Z , Cao Y N . The effect of key DNA methylation in different regions on gene expression in hepatocellular carcinoma[J]. Molecular Omics.

BRCA Patient Risk Assessment Tool


Breast cancer patient risk assessment tool (BRCA Risk Assessment TOOL) is an online tool. It only needs to input the β value of the corresponding CPG site from tissues in the following input box. The tool can analyze the sample belonging to the high risk (low risk) group.

Input β value of cg13569051.
Input β value of cg14399183.
Input β value of cg25274503.



Kaplan–Meier estimates of the survival rate of patients in the low-risk and high-risk groups.








Reference
Cao Y N, Li Q Z, Liu Y X. Discovered Key CpG Sites by Analyzing DNA Methylation and Gene Expression in Breast Cancer Samples[J]. Frontiers in Cell and Developmental Biology, 2022, 10: 53.

Tumor Tissue Predictor


Tumor Tissue Predictor is an online tool.It only needs to input the β value of the corresponding CPG site from tissues in the following input box. The predictor can analyze the tissue is tumor(normal) tissue.

Input β value of cg15994026.
Input β value of cg22389950.
Input β value of cg10864878.
Input β value of cg17875483.
Input β value of cg17228900.
Input β value of cg01108118.
Input β value of cg16697214.
Input β value of cg07589773.
Input β value of cg04052466.
Input β value of cg26659805.


Result:

  
The sample is

normal

tissue.


Reference
Bai H, Li Q Z, Qi Y C, et al. The prediction of tumor and normal tissues based on the DNA methylation values of ten key sites[J]. Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms, 2022, 1865(6): 194841.