What should be the future direction of development in the field of prostate cancer with lung metastasis?

Figure 1  Flowchart of data collection from papers on prostate cancer with lung metastasis.

Figure 2 Distribution and change in time and space of knowledge volume in the prostate cancer with lung metastasis field. A: Annual publications and citations of papers on prostate cancer with lung metastasis (2000-2022); B: Thermal diagram of the time distribution of national/regional papers. The b values represent the ratio of the total number of papers published in a country from 2000 to a certain year to the total number of papers published in a country.

Figure 3 Word clouds of high-frequency keywords in the papers on prostate cancer with lung metastasis. A: Keywords plus; B: Author’s keywords.

Figure 4 Analysis of the co-occurrence of all keywords in the papers on prostate cancer with lung metastasis. A: Network visualization map; B: Overlay visualization map. The small circle represents the keyword. The area of the small circle represents the frequency of the keyword. The colors of the different areas represent their categories. The lines of the connecting circles represent keywords that appear in an article simultaneously.

Figure 5 Topic trend graph. A: Keywords plus; B: Author’s keywords.

Figure 6 Keyword time heat map. A: Keywords plus; B: Author’s keywords. The values represent the ratio of the total frequency of the keyword from 2000 to a certain year to its total frequency; from top to bottom, the number of papers published by the country increased in turn.

Figure 7 Theme strategic coordinate map. A: Keywords plus; B: Author’s keywords. PET/CT: Positron emission tomography/computed tomography; IL-12: Interleukin-12.

Figure 8 Molecular pathway map of prostate cancer with lung metastasis. A: Bubble map of differentially expressed genes (DEGs) based on the gene ontology enrichment analysis; B: Bubble map of DEGs based on the Kyoto Encyclopedia of Genes and Genomes enrichment analysis. GO: Gene ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes.

Figure 9 Protein–protein interaction network graph of the top 20 key proteins ranked by the maximal clique centrality method. A: Cell adhesion molecules; B: Cadherin binding.