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Human lung tumor FOXP3+ Tregs upregulate four “Treg-locking” transcription factors
Tatiana Akimova, Tianyi Zhang, Dmitri Negorev, Sunil Singhal, Jason Stadanlick, Abhishek Rao, Michael Annunziata, Matthew H. Levine, Ulf H. Beier, Joshua M. Diamond, Jason D. Christie, Steven M. Albelda, Evgeniy B. Eruslanov, Wayne W. Hancock
Tatiana Akimova, Tianyi Zhang, Dmitri Negorev, Sunil Singhal, Jason Stadanlick, Abhishek Rao, Michael Annunziata, Matthew H. Levine, Ulf H. Beier, Joshua M. Diamond, Jason D. Christie, Steven M. Albelda, Evgeniy B. Eruslanov, Wayne W. Hancock
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Research Article Immunology

Human lung tumor FOXP3+ Tregs upregulate four “Treg-locking” transcription factors

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Abstract

Experimental data indicate that FOXP3+ Tregs can markedly curtail host antitumor immune responses, but the properties of human intratumoral Tregs are still largely unknown, in part due to significant methodologic problems. We studied the phenotypic, functional, epigenetic, and transcriptional features of Tregs in 92 patients with non–small-cell lung cancer, comparing the features of Tregs within tumors versus corresponding blood, lung, and lymph node samples. Intratumoral Treg numbers and suppressive function were significantly increased compared with all other sites but did not display a distinctive phenotype by flow cytometry. However, by undertaking simultaneous evaluation of mRNA and protein expression at the single-cell level, we demonstrated that tumor Tregs have a phenotype characterized by upregulated expression of FOXP3 mRNA and protein as well as significantly increased expression of EOS, IRF4, SATB1, and GATA1 transcription factor mRNAs. Expression of these “Treg-locking” transcription factors was positively correlated with levels of FOXP3 mRNA, with highest correlations for EOS and SATB1. EOS had an additional, FOXP3 mRNA–independent, positive correlation with FOXP3 protein in tumor Tregs. Our study identifies distinctive features of intratumoral Tregs and suggests that targeting Treg-locking transcription factors, especially EOS, may be of clinical importance for antitumor Treg-based therapy.

Authors

Tatiana Akimova, Tianyi Zhang, Dmitri Negorev, Sunil Singhal, Jason Stadanlick, Abhishek Rao, Michael Annunziata, Matthew H. Levine, Ulf H. Beier, Joshua M. Diamond, Jason D. Christie, Steven M. Albelda, Evgeniy B. Eruslanov, Wayne W. Hancock

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Figure 10

Correlations of Treg-locking TF expression and FOXP3 mRNA in Tregs.

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Correlations of Treg-locking TF expression and FOXP3 mRNA in Tregs.
(A) ...
(A) CD4+FOXP3+ gated Tregs were divided into two populations according to their levels of FOXP3 mRNA expression: top 50% (“high”) and bottom 50% (“low”), as shown. Then MOF of FOXP3 protein (left, bottom) and MOF of CD4 protein (right, top) were evaluated in FOXP3 mRNA “high” (blue) versus all Tregs (red) populations. Histograms show MOF in one representative tumor sample, and (B) statistics are shown for 64 samples in each group. Tregs from all locations were evaluated together. (C–H) Data of fluorescence for markers of interest in CD4+FOXP3+ gated Tregs were collected using PrimeFlow method, exported as data for all channels in each individual Treg, log10 transformed, and evaluated for correlations between (C) FOXP3 protein and FOXP3 mRNA expression, (D) EOS mRNA and FOXP3 mRNA, (E) GATA1 mRNA and FOXP3 mRNA, (F) IRF4 mRNA and FOXP3 mRNA, (G) LEF1 mRNA and FOXP3 mRNA, and (H) SATB1 mRNA AND FOXP3 mRNA. 1,000 Tregs (mean ± SEM) were evaluated in each sample, and each TF was evaluated at least twice (for healthy donors only) or 3 times, in different samples. The following statistics were used: (B) Friedman test with Dunn’s test; (D–H) Spearman correlation assays, correlation coefficients r are presented. ****P < 0.0001. When P values for Spearman correlation were >0.05, then r values are shown as zeroes.

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