| Literature DB >> 33061819 |
Cui Jiang1,2, Jingwei Liu1, Min Guo1, Xiaoxin Gao3, Xuan Wu1, Ning Bai1, Wendong Guo1, Na Li1, Fei Yi1, Rong Cheng1, Hongde Xu1, Tingting Zhou1, Bo Jiang1, Tao Sun2, Shi Wei4, Liu Cao1.
Abstract
Sirtuin 2 (SIRT2), an NAD+-dependent deacetylase, regulates multiple biologic and pathologic processes including mitosis, genomic integrity, cell homeostasis and tumorigenesis. However, the role of SIRT2 in the immune response to cancer remains largely elusive. In this study, we found significantly lower expression of SIRT2 in peripheral T lymphocytes from breast cancer patients when compared to normal individuals. Moreover, SIRT2 levels positively correlated with CD8+ effector memory T (TEM) cells in breast cancer patients. In keeping with these findings, altered T cells differentiation manifested as decreased TEM cells and increased naive T cells were observed in Sirt2 deficient mice. The upregulation of CD8+ TEM by SIRT2 might attribute to the activation of aerobic oxidation as well as the inhibition of GSK3β acetylation in CD8+ T cells. Taken together, these results suggest that SIRT2 participate in tumor immune response by regulating T cell differentiation, which may provide novel insight for tumor prevention and immune therapy. © The author(s).Entities:
Keywords: SIRT2; T cell; breast cancer; differentiation
Mesh:
Substances:
Year: 2020 PMID: 33061819 PMCID: PMC7545715 DOI: 10.7150/ijbs.49735
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Patient characteristics in the study
| N | % | variable | N | % | |||
|---|---|---|---|---|---|---|---|
| ≤35y | 6 | 25 | >35y | 18 | 75 | ||
| ≤35y | 4 | 4.8 | - | 29 | 34.5 | ||
| >35y | 80 | 95.2 | + | 55 | 65.5 | ||
| T1:≤2cm | 55 | 65.5 | - | 58 | 33.3 | ||
| T2:>2cm≤5cm | 26 | 31 | + | 26 | 66.7 | ||
| T3:>5cm | 3 | 3.5 | ≤14% | 25 | 29.8 | ||
| N0:0 | 56 | 66.7 | >14% | 59 | 70.2 | ||
| N1:1-3 | 17 | 20.2 | Luminal A | 17 | 20.2 | ||
| N2:4-9 | 11 | 13.1 | Luminal B | 47 | 56 | ||
| I | 36 | 42.8 | HER2+ | 12 | 14.3 | ||
| II | 32 | 38.1 | Basal-like | 8 | 9.5 | ||
| III | 16 | 19.1 | low-risk | 11 | 29.5 | ||
| - | 22 | 26.2 | intermediate-risk | 57 | 67.9 | ||
| + | 62 | 73.8 | high-risk | 16 | 2.6 | ||
Abbreviation: TNBC: triple-negative breast cancer.
Figure 1SIRT2 levels positively correlate with CD8 A: The expression of SIRT2 was determined by real-time PCR within the T lymphocytes isolated from normal controls (n=19) and breast cancer patients (n=70). B and C: The comparison of CD8+TEM (CD45R0-CCR7-CD8+) was carried out in the SIRT2high and SIRT2low groups by flow cytometry. D: The correlation between relative expression of SIRT2 expression and CD8+TEM percentage within T lymphocytes was accessed by linear correlation analysis. The data were presented as mean±SD. *P<0.05; **P<0.01; ***P<0.005.
Figure 2Distribution of CD8 A: The comparison of CD8+TEM (CD45R0-CCR7-CD8+) was performed in different breast cancer recurrence risk groups: Low-risk (n=10), Intermediate-risk (n=47), High-risk (n=12). B: The CD8+TEM percentage in pathologic Lymph Nodes metastasis groups: LMN: 0 (n=50), LMN: 1-3 (n=12), LMN: 4-9 (n=8). C: The CD8+ T percentage in ER negative (n=17) and ER positive (n=53) groups. D: The CD8+TEM percentage in HER2-negative (n=41) and HER2-positive (n=21) groups. E: The CD8+TEM percentage in the biologic subtype: Luminal A (n=16), Luminal B (n=26), Her2+ (n=20), TNBC (n=6). The data were presented as mean±SD. *P<0.05; **P<0.01.
Figure 3Distribution of CD4 A: The CD8+ T cell subsets in the normal controls (n=19) and breast cancers (n=70). B.C: The CD8+ and CD4+ T cell subsets in the homologous mouse: wildtype mice (n=11) and Sirt2 (n=9). The data were presented as mean±SD. *P<0.05; **P<0.01; ***P<0.005.
Figure 4SIRT2 affects the metabolism of CD8 A. C: OCR of wild-type (n=6) and Sirt2-/- (n= 6) CD8+ T cells in real time after the addition of oligomycin,2,4-dinitrophenol (DNP) and retenone. B: ATP production and spare respiratory capacity of cells. D, E: wild-type CD8+ T cells were re-stimulated with anti-CD3 and anti-CD28 for 72 hours and treated with 10 uM/ml AGK2 or DMSO as the control for 24 hours (E). The harvested CD8+ T cells were analyzed by flow cytometry (D). The data were presented as mean±SD. *P<0.05; **P<0.01; ***P<0.005.
Figure 5SIRT2-mediated CD8 A.B. wild-type CD8+ T cells were re-stimulated with anti-CD3 and anti-CD28 for 72 hours and infected with lentivirus overexpressing Sirt2 followed by 12 h activation (A). The harvested CD8+ T cells were analyzed by flow cytometry (B). C: SIRT2 interacts with GSK3β in vivo. Jurkat cell lysates were subjected to immunoprecipitation with control IgG and anti-GSK3β antibody. The immunoprecipitates were then blotted with the indicated antibodies. D: SIRT2 bind with GSK3β. Flag-tagged SIRT2 was individually transfected into HEK293T cells. The interaction was detected by IP and western blot. E: Catalytic activity of SIRT2 is required for GSK3β deacetylation. Flag-tagged SIRT2 was individually transfected into HEK293T cells. CHK2 acetylation was detected by immunoprecipitation using an anti-acetylated lysine antibody. F: Overexpression of p300, but not other histone acetyltransferases (HATs), could significantly increase GSK3β acetylation. HEK293 cells were transfected into HATs P300, CBP, GCN5 and PCAF. Acetylated GSK3β was purified from cells transfected with Flag-tagged P300, CBP, PCAF or Myc-tagged PCAF. Acetylated GSK3β was determined by immunoblotting. G: SIRT2 overexpression decreases GSK3β acetylation. Flag-tagged GSK3β and P300 was co-transfected with either Flag or Flag-tagged SIRT2 into HEK 293T cells. Acetylation of purified proteins was determined by immunoblotting and western blot. The data were presented as mean±SD. *P<0.05.
Figure 6Schematic model proposed for the role of SIRT2 in T-cell-mediated immune response in breast cancer. SIRT2 promoted aerobic oxidation, inhibited GSK3β acetylation in CD8+ T cells, thus mediating the differentiation of CD8+ T cells from TN into TEM.