What is the KM plotter?
The KM plotter is capable to assess the effect of 22,277 genes on survival in 2,977 breast, 1,464 ovarian and 1,715 lung cancer patients. The primary purpose of the tool is a meta-analysis based in silico biomarker assessment.
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22.05.2013.: The KM-plotter server has been upgraded from a 100Mbps to a 25Gbps permanent connection.
--------------------------------------------------------------------------------------------------------------------------How does it work?
The background database is manually curated. Gene expression data and relapse free and overall survival information are downloaded from GEO (Affymetrix HGU133A and HGU133+2 microarrays), EGA and TCGA. The background database is handled by a PostgreSQL server, which integrates gene expression and clinical data simultaneously. To analyze the prognostic value of a particular gene, the patient samples are split into two groups according to various quantile expressions of the proposed biomarker. The two patient cohorts are compared by a Kaplan-Meier survival plot, and the hazard ratio with 95% confidence intervals and logrank P value are calculated.
Is this some sort of database?
No! The KM plotter performs the computation in real time on our server.
Which gene ID can I use?
KM-plot recognizes 22,277 Affymetrix probe set IDs and 70,632 gene symbols (these include the HUGO Gene Nomenclature Committee (EMBL Hinxton) approved official gene symbols, previously used gene symbols and aliases).
I have several candidates. Which biomarker is the most significant?
To correct for multiple testing, please use our multiple testing calculator.
Can I use multiple genes?
Yes. Click on the button "Use multigene classifier" and enter multiple Affymetrix IDs. You can run the analysis on all these biomarkers simultaneously (default setting), or using the mean expression of the genes. For this, tick the "Use mean expression of the selected probes" radio button.
Want to predict survival for a single patient?
Try Recurrence Online, a tool capable to predict response to hormonal treatment, to targeted therapy and survival (recurrence score) for breast cancer patients using gene expression data obtained by Affymetrix microarrays.
Can I have a high resolution image?
To generate a high resolution TIFF file, please adjust the "Settings" in the analysis page.
The KM-plotter has been used (among others) in studies published in:
Read the full publications:
Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian cancer using microarray data from 1287 patients, Endocrine-Related Cancer, 2012.
An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients, Breast Cancer Res Treatment, 2010.
Previous release:
This section has been removed. Please use the "previous release" filter in the analysis page.
