| Literature DB >> 33102599 |
Danlin Yao1, Ling Xu1,2, Lian Liu1, Xiangbo Zeng1, Juan Zhong1, Jing Lai1, Runhui Zheng3, Zhenyi Jin1, Shaohua Chen1, Xianfeng Zha4, Xin Huang5, Yuhong Lu1.
Abstract
The antitumor activity of NK cells in patients with chronic myeloid leukemia (CML) is inhibited by the leukemia microenvironment. Recent studies have identified that the expression of TIGIT, CD57, and KLRG1 is related to the function, maturation, and antitumor capabilities of NK cells. However, the characteristics of the expression of these genes in the peripheral blood (PB) and bone marrow (BM) from patients with CML remain unknown. In this study, we used multicolor flow cytometry to assay the quantity and phenotypic changes of NK cells in PB and BM from de novo CML (DN-CML) and CML patients acquiring molecular response (MR-CML). We found that the expression of TIGIT, which inhibits NK cell function, is increased on CD56+ and CD56dim NK cells in DN-CML PB compared with those in healthy individuals (HIs), and it is restored to normal in patients who achieve MR. We also found that the expression of CD57 on NK cells was approximately the same level in PB and BM from DN-CML patients, while decreased CD57 expression was found on CD56+ and CD56dim NK cells in HI BM compared with PB. Additionally, those two subsets were significantly increased in DN-CML BM compared to HI BM. The expression of CD57 correlates with replicative senescence and maturity for human NK cells; therefore, the increase in TIGIT on PB NK cells together with an increase in CD57 on BM NK cells may explain the subdued NK cell antileukemia capacity and proliferative ability in DN-CML patients. These results indicate that reversing the immune suppression of PB NK cells by blocking TIGIT while improving the proliferation of BM NK cells via targeting CD57 may be more effective in removing tumor cells.Entities:
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Year: 2020 PMID: 33102599 PMCID: PMC7578715 DOI: 10.1155/2020/9531549
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Sample characteristics.
| Factor | HIs-PB | De novo CML-PB | MR-PB | HIs-BM | De novo CML-BM |
|---|---|---|---|---|---|
| The number of the case | 15 | 13 | 18 | 8 | 7 |
| Age (median; range) (years) | 51 (21-82) | 45.5 (32-74) | 40 (21-79) | 33 (17-51) | 40 (32-82) |
| Gender (male/female) | 9/6 | 9/4 | 8/10 | 3/5 | 4/3 |
| BCR/ABL1 (IS) (%) | — | 95.6 (13.4-240.0) | 2.35 (0.005-9.1) | — | — |
| TKI duration (median, range) months | — | — | 54 (1-108) | — | — |
HIs: healthy individuals; CML: chronic myeloid leukemia; MR: molecular response; PB: peripheral blood; BM: bone marrow; IS: international standard; TKI: tyrosine kinase inhibitor.
Figure 1Increased levels of TIGIT+, TIGTI+CD56bright, and TIGIT+CD56dimCD16+ NK cells in DN-CML patients compared with MR patients and HIs. (a) The gating strategy for CD56+, CD56bright, and CD56dim NK cells and the frequency of TIGIT, CD16, KLRG1, and CD57 on CD56+ NK cells are shown. Forward scatter area and height (FSC-H) are used to discriminate single cells. CD45 is used to discriminate the mature white blood cells. Monocytes and B cells are excluded using CD14 and CD19, and T cells are excluded using CD3. CD45highCD14−CD19−CD3− population expressing CD56+, CD56highCD16+, and CD56dimCD16+ is gated as CD56+ NK cells, CD56bright NK cells, and CD56dim NK cells, respectively, and then, the expression of CD57, TIGIT, and KLRG1 on those NK subsets are analyzed [25]. (b) Summary of the altered distribution of CD56+ and CD56− NK cells within the CD3− population (left) and CD3−CD56bright and CD56dimCD16+ NK cells as well as other cells within the CD3− population (right) in PB from HIs (n = 15) and DN-CML (n = 13) and MR (n = 18) patients. (c) Frequency of CD56+, CD56bright, and CD56dimCD16+ NK cells in PB from HIs (n = 15) and DN-CML (n = 13) and MR (n = 18) patients. (d) Proportion of TIGIT+, TIGTI+CD56bright, and TIGIT+CD56dimCD16+ NK cells in PB from HIs (n = 15) and DN-CML (n = 13) and MR (n = 18) patients. All data are shown as medians ± quartiles. TIGIT: T cell immunoreceptor with Ig and ITIM domain; DN: de novo; CML: chronic myeloid leukemia; HIs: healthy individuals; MR: molecular response. The Mann–Whitney test was used for unpaired sample analysis, and p values < 0.05 were considered statistically significant.
Figure 2DN-CML BM NK cells had a significantly increased level of CD57 compared to NK cells in the BM from HIs. (a) Differences in the mean proportion of immunophenotypes in the BM from HIs (n = 8) and age-matched PB from HIs (n = 7; median age: 38; range: 21-51) are shown. The height of the bar signifies the amplitude of the difference between BM and PB samples (the PB median value is subtracted from the BM median value). The green bars above the axis represent immunophenotypes more prevalent in PB than BM samples. p values were computed using the nonparametric Mann–Whitney test between two groups. (b) The NK subset populations and expression of immunophenotypes in NK subsets from PB and matched BM from eight DN-CML patients. As the PB and BM were collected from the same patients, p values were computed using the parametric Mann–Whitney test between two groups. (c) Frequency of CD57+, CD57+CD56bright, and CD57+CD56dim NK cells from HI BM (n = 8) and BM from 7 patients with DN-CML (n = 8). (d) Model illustrating the phenotypic differences of NK cells for BM and PB in HIs and BM and PB in DN-CML patients. All data are shown as medians ± quartiles. There is a significant difference between the two groups connected by the blue lines. Significance levels were defined as ns (not significant, p > 0.05). p values < 0.05 were indicated as significant.