What is the KM plotter?

The Kaplan Meier plotter is capable to assess the effect of 54,675 genes on survival using 10,188 cancer samples. These include 4,142 breast, 1,648 ovarian, 2,437 lung and 1,065 gastric cancer patients with a mean follow-up of 69 / 40 / 49 / 33 months. Primary purpose of the tool is a meta-analysis based biomarker assessment.



Latest news >>> Expression in normal and cancer tissues is included for lung, ovarian, and gastric cancer >>> All 54,675 probe sets present on the HGU133 Plus 2.0 array are now available for analysis >>> More updates

For a general citation of the KM-plotter, please use: Gyorffy B, Surowiak P, Budczies J, Lanczky A. Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer. PLoS One. 2013 Dec 18;8(12):e82241. doi: 10.1371/journal.pone.0082241. >>> More publications


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 microarrays only), EGA and TCGA. The 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. Each database is updated biannually.

Which gene ID can I use?

KM-plot recognizes 54,675 Affymetrix probe set IDs and 70,632 gene symbols (including HUGO Gene Nomenclature Committee approved official gene symbols, previous symbols and aliases - all these are listed in the results page). As the different names can overlap, we recommend to cross-check the identity of the selected gene.

Can I use multiple genes?

Yes. Click on the button "Use multigene classifier" and enter multiple genes. 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. Maximum 65 genes are allowed.

Can I have a better image?

There are four options: 1) utilize the scalable PDF provided at the results; 2) adjust "Settings" to generate a hi-res TIFF file; 3) use our powerpoint template to change font and the text size; 4) still not satisfied?! -> adjust "Settings" to export plot data as text and format it in any other software.

I have several candidates. Which biomarker is the most significant?

To correct for multiple testing, please use our multiple testing calculator.

Can I use mutation or copy number alterations?

To utilize mutation or CNV data, try our online platform Genotype 2 Outcome, available at the G-2-O website.

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 gene chips.

Are Illumina and Agilent microarrays or RNA-seq datasets included?

No. Affymetrix HG-U133A, HG-U133 Plus 2.0 and HG-U133A 2.0 are included only, because these are regularly used, FDA-cleared and because these arrays have 22,277 probe sets in common. Utilization of the same probe sets enables to measure the same gene with the same sensitivity, specificity and dynamic range.

The KM-plotter has been utilized among others in studies published in:

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