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. 2022 May;10(9):519. doi: 10.21037/atm-22-1430

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2022 Annals of Translational Medicine. 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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Relationship between SLC2A1 and tumor-infiltrating immune cells. (A) Immune infiltration analysis using CIBERSORT revealed significant differences in the infiltration of nine types of immune cells between the high and low SLC2A1 expression groups in TCGA; (B-D) three of the above nine tumor-infiltrating immune cells also exhibited a significant correlation with SLC2A1 in the GEO data, but the correlation trend of plasma B cells was contrary to that of the previous analysis; (E) SLC2A1 expression was negatively correlated with the stromal score in TIMER; (F) the correlation between SLC2A1 and the two cells in TCGA data was evaluated using TIMER2.0, and the results were the identical to those of the GEO. *, P<0.05; **, P<0.01; ***, P<0.001. TCGA, The Cancer Genome Atlas; GEO, Gene Expression Omnibus.