Bioinformatics analysis of prognostic value of PITX1 gene in breast cancer

The present study assessed the correlation between PITX1 expression and the prognostic factor of breast cancer by using various online analysis databases to explore the prognostic significance of PITX1 gene in the treatment of breast cancer.

Herein, I will recover all figures for this paper step by step.

In Brief for this paper

• Publication

  • Biosci Rep. 2020 Sep 30; 40(9): BSR20202537

• Keywords

  • PITX1 gene
  • breast cancer

• Methods

  • Oncomine
  • Bc-GenExMiner v4.3
  • PrognoScan
  • UCSC xena

Figure 1. Expression of PITX1 gene in 20 common tumors compared with paired normal tissues

• Methods: Oncomine

• Open Oncomine database.

• Enter PITX1 to search and get figure 1.

  

Figure 2. Box plots of normal and tumor differentially expression of PITX1 gene in different subtypes of breast cancer

• Methods: Oncomine

• Setup parameters and get the data for figure 2A.

  

• With the same method, get the complete figure2.

Table 1. Different datasets to analyze PITX1 gene expression in pathological classification of breast cancer

• Table1, summarize data from figure 2.

Figure 3. Bc-GenExMiner v4.3 to evaluate PITX1 gene expression with box plots according to clinical parameters in breast cancer patients

• Methods: Breast Cancer Gene-Expression Miner v4.3 (However, it’s v4.5)

• Open Bc-GenExMiner.

• Click on the button ANALYSIS

• Select EXPRESSION -> Targeted

• Enter PITX1 to search.

• Click on the button Submit and get the results for figure 3A.

• With the similar methoda, get the complete figure3.

Table 2. PITX1 gene expression analysis in different clinical parameters of breast cancer with Bc-GenExMiner v4.3

• Table2, summarize data from figure 3.

Figure 4. The survival curve of different datasets based on the expression of PITX1 gene was used to analyze the prognostic value in breast cancer

• Methods: PrognoScan

• Open PrognoScan.

• Enter PITX1.

• Submit.

• Click on 209587_at and pull down on the new window.

• Get the results for figure 4A.

• With the similar methoda, get the complete figure4.

Table 3. Different datasets to analyze the prognosis of PITX1 gene expression in breast cancer

• Table3, summarized data from figure 4

Figure 5. Co-expression analysis of gene PITX1 and other genes by Oncomine database analysis

Figure 5A

• Methods: Oncomine

• Open Oncomine database.

• Enter and filter with the parameters of PITX1 Coexpression Analysis Breast Cancer.

Figure 5B

• Methods:[cBioPortal]

• Open cBioPortal.

• Setup parameters and analysis to get the result.

Figure 5C

• Methods: UCSC Xena

• Open UCSC Xena.