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. 2023 Jun 22;14:1171978. doi: 10.3389/fimmu.2023.1171978

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Copyright © 2023 Karapetyan, AbuShukair, Li, Knight, Al Bzour, MacFawn, Thompson, Chen, Yang, Dadey, Karunamurthy, De Stefano, Sander, Kunning, Najjar, Davar, Luke, Gooding, Bruno, Kirkwood and Storkus

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Intervariable correlation between serum and tissue transcripts of TLS-kines and patients clinical indices. (A) Scatterplot matrix showing correlation between individual TLS-kines levels, LDH serum levels or patients Age. The y-axis in each plot representing age (row 1), LDH levels (row 2), CCL9 (row 3). APRIL (row 4), CXCL13 (row 5), CXCL10 (row 6) and the x-axis being the intersecting factor from adjacent rows. Red numbers highlight significant correlations (p < 0.01), blue numbers are not significant. (B) Box plots illustrating TLS-kines expression based on patients’ AJCC stage. CCL19, CXCL10 and CXCL13 transcript expression levels were significantly associated with tumor stage in the TCGA-SKCM cohort. P values were determined using the analysis of variance test (ANOVA). All p values < 0.05 were considered as significant. (C) Correlation of individual TLS-kine transcript levels with each other. Correlation matrix showing the association between TLS-kines in the TCGA-SKCM cohort. * p <.05, ** p <.01, *** p <.001. Each of these TLS-kines was significantly positively correlated with each other, with CXCL10 and CXCL13 having the highest correlation coefficient for coexpression (Pearson’s r = 0.783, p < 0.001).