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This article focuses on "how to use kmplot for online survival analysis", interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to use kmplot for online survival analysis.

Kmplot is an online tool for survival analysis, originally designed to analyze the survival of miRNA in liver cancer. The corresponding article is published on scientific reports with the following link

Https://www.nature.com/articles/s41598-018-27521-y.pdf

The process of building the database is as follows

Collect hepatoma-related miRNA expression profile data from TCGA, GEO and other large databases, and collate the reported survival-related biomarker miRNA from the literature for survival analysis, synthesize the results of cox regression and differential expression, and further screen biomarker miRNA.

Later, it has been further expanded to support 21 tumor types, including miRNA and mRNA survival analysis, at the following website

Http://kmplot.com/analysis/

The usage is also very simple. Take breast cancer as an example, click the menu corresponding to the home page to enter the corresponding analysis page.

1. Enter genes of interest

Probe ID or gene symbol is supported, and there will be a corresponding prompt box. Here, take tp53 as an example, as shown in the following figure

You can also input multiple genes through use multiple genes and do survival analysis in batches.

two。 Determine the sample grouping strategy

The samples are divided into two groups according to the amount of gene expression, which can be classified according to a variety of statistics such as the mean, as shown below.

3. Determine the type of survival analysis

Support the survival analysis of multiple events, corresponding to different types, as shown below

RFS corresponds to relapse free survival. Recurrence is used as an event in survival analysis to analyze the effect of surgical treatment. For a specific explanation of RFS, see the link below.

Https://www.cancer.gov/publications/dictionaries/cancer-terms/def/rfs

OS stands for Overall survival and analyzes the survival time of patients after diagnosis. For a specific explanation of OS, see the link below.

Https://www.cancer.gov/publications/dictionaries/cancer-terms/def/os

DMFS stands for Distant Metastasis Free survival and regards tumor metastasis as an event in survival analysis; PPS is written by post progression survival, which mainly analyzes the survival of prognosis.

4. Screening sample

Samples can be screened according to clinical information and other indicators, of course, this step is optional, as shown below

Once confirmed, click Draw Kaplan-Meier plot directly, and the result is as follows

At this point, I believe you have a deeper understanding of "how to use kmplot for online survival analysis". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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