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This article introduces the relevant knowledge of "how to use OncoLnc for TCGA survival". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

By collecting the survival data and gene expression profile information of patients with different tumors in TCGA, OncoLnc provides a web service for survival analysis. The links to the corresponding articles are as follows.

Https://peerj.com/articles/cs-67/

The web address is as follows

Http://www.oncolnc.org/

OncoLnc collected the survival data of 8647 patients with 21 kinds of tumors in TCGA, as well as the corresponding mRNA and miRNA expression profile data. At the same time, the lncRNA expression data from the MiTranscriptome project were collected to provide survival analysis including genes in mRNA,miRNA,lncRNA 3, which can be easily used to mine survival-related genes in various tumors.

The usage is very simple, as shown below

1. Select genes and tumors of interest

Enter the gene you want to query in the search box on the home page, either entrez ID or gene symbol. Take TP53 as an example, as shown below

Click the submit button to see the results of the survival analysis calculated in advance with cox regression, as shown below

The tumor of interest can be further analyzed by KM survival analysis.

two。 Input sample grouping

In order to explore the relationship between gene and survival, the samples are divided into two groups: high and low according to the amount of gene expression. The proportion of each group is 100%, as shown below.

In the figure above, the proportion of both groups is 50%. According to the order of gene expression from low to high, the first 50% is defined as the ground expression group, and the last 50% is defined as the high expression group, as shown below.

3. KM survival analysis

After determining the grouping, click submit, and you can get the survival analysis results shown below.

Through OncoLnc, we can easily analyze the survival of TCGA data and quickly check the survival-related genes in a variety of tumors.

This is the end of "how to use OncoLnc for TCGA Survival". Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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