SNP IDs (e.g., rs2326918; limited in 100 SNPs):

OR

Region (e.g., chr1:1-5000000; limited in 5Mb region):

Note: please do not select one row in the following table when searching.

Userful Links:

UK Biobank https://www.ukbiobank.ac.uk/

GWAS catalog http://www.ebi.ac.uk/gwas/

UCSC http://genome.ucsc.edu/

Ensembl http://asia.ensembl.org/index.html

GENCODE https://www.gencodegenes.org/

Association between genetic variants and Overall Survival of colorectal cancer patients

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Note: please wait 1~2 minutes when plotting.

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Input basic information:

Sex:

Age at diagnosis (years old):

Input genetic information for 287 SNPs:

Load Your Genotype File (txt file)

Browse...

Load Example Genotype File:

No Yes

Download example Genotype Data

Input lifestyle information:

Body mass index (Kg/m2):

Smoking status:

Alcohol drinker status:

Red and processed meat intake (g/day):

Vegetable and fruit intake (g/day):

Input clinical information:

Clinical stage:

Clinical grade:

Estimation of 5-year overall survival probability:

CRC-SPS aims to provide a user-friendly web server for predicting colorectal cancer overall survival probability.

In CRC-SPS, users can:

a. Browse and download the associations of genetic variants with colorectal cancer overall survival:

When users enter a batch of SNP IDs, or enter a genetic region, a table (with chromosome ID, SNP ID, SNP genomic position, SNP alleles (A1: effect allele; A2: reference allele), Effect allele frequency (EAF), beta, standard error (SE) in two cohorts and associations of meta-analysis) will be built. Users can download the results by clicking the 'Download' button. Besides, users can select one SNP-survival pair and click the 'Plot' button, and the diagrams of KM plot will be provided to display the associations among NJCRC (East Asian ancestry) and UK Biobank (European ancestry) cohorts.

For example, patients with the SNP rs2742681 GT or TT genotypes have better survival than patients with rs2742681 GG genotype (P for log-rank test < 0.05).

b. Estimate the 5-year overall survival probability of colorectal cancer patients:

When users enter sex, age, lifestyle factors (e.g., smoking status), clinical stage, grade, and genotypes of 287 single nucleotide polymorphisms (SNPs), the 5-year survival can be predicted to evaluate whether the colorectal cancer patient is at high risk of death.

For example, with the 5-year survival in PLCO cohort as a reference (77.1%), the patient with a predicted survival of 98.5% is considered as low-risk of death.

Note: This clinical tool is developed preliminarily, with the need of additional validation and improvement in the future. The current results should be interpreted with caution.

Citation:

Integration of pathologic characteristics, genetic risk and healthy lifestyle for colorectal cancer survival evaluation: a survival-based association and multi-center validation study.

Data release:

Download SNP effect size estimates for the EAS-EUR polygenic prognostic score (PPS) of colorectal cancer

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OR