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. 2020 Dec;9(6):2640–2656. doi: 10.21037/tau-20-699

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2020 Translational Andrology and Urology. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Association between potential biomarkers and immune-checkpoints. (A) Correlation of four genes and seven immune-checkpoints. Red represents a positive correlation, and blue represents a negative correlation; the darker the color in the heatmap, the higher the correlation between genes. *, P<0.05; **, P<0.01; (B) correlation between C3 and CD274 in 33 types of cancers through the pan-cancer analysis; (C) correlation between C3AR1 and PDCD1LG2 in 33 types of cancers though the pan-cancer analysis; (D) correlation between HLA-DRA and PDCD1LG2 in 33 types of cancers though the pan-cancer analysis.