Skip to main content
Erschienen in: Journal of Translational Medicine 1/2019

Open Access 01.12.2019 | Research

Increased CD8+CD28+ T cells independently predict better early response to stereotactic ablative radiotherapy in patients with lung metastases from non-small cell lung cancer

verfasst von: Chao Liu, Qinyong Hu, Kai Hu, Huichao Su, Fang Shi, Li Kong, Hui Zhu, Jinming Yu

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2019

Abstract

Background

Stereotactic ablative radiotherapy (SABR) shows a remarkable local control of non-small cell lung cancer (NSCLC) metastases, partially as a result of host immune status. However, the predictors of immune cells for tumor response after SABR are unknown. To that effect, we investigated the ability of pre-SABR immune cells in peripheral blood to predict early tumor response to SABR in patients with lung metastases from NSCLC.

Methods

This study included 70 patients with lung metastases from NSCLC who were undergoing SABR. We evaluated the early tumor response 1 month and 6 months after SABR in these patients following RECIST 1.1 guidelines. Pre-SABR peripheral CD8+ T cell count, CD8+CD28+ T-cell count, CD8+CD28− T-cell count, CD4+ T-cell count, and Treg-cell count were measured using flow cytometry.

Results

Increased CD8+CD28+ T-cell counts (14.43 ± 0.65 vs. 10.21 ± 0.66; P = 0.001) and CD4/Treg ratio (16.96 ± 1.76 vs. 11.91 ± 0.74; P = 0.011) were noted in 1-month responsive patients, compared with non-responsive patients. In univariate logistic analyses, high CD8+CD28+ T-cell counts (OR 0.12, 95% CI 0.03–0.48; P = 0.003), CD4/Treg ratio (OR 0.24, 95% CI 0.06–0.90; P = 0.035), and BED10 (OR 0.91, 95% CI 0.84–0.99; P = 0.032) predicted a 1-month tumor response to SABR. According to multivariate logistic analyses, the CD8+CD28+ T-cell count predicted a 1-month tumor response to SABR (OR 0.19, 95% CI 0.04–0.90; P = 0.037) independently. Furthermore, we confirmed the independent predictive value of the CD8+CD28+ T-cell count in predicting tumor response to SABR in 41 patients 6 months after treatment (OR 0.08, 95% CI 0.01–0.85; P = 0.039).

Conclusions

A pre-SABR CD8+CD28+ T-cell count could predict early tumor response to SABR in patients with lung metastases from NSCLC. Larger, independently prospective analyses are warranted to verify our findings.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12967-019-1872-9) contains supplementary material, which is available to authorized users.
Chao Liu and Qinyong Hu contributed equally to this work
Abkürzungen
NSCLC
non-small cell lung cancer
SABR
stereotactic ablative radiotherapy
CR
complete response
PR
partial response
SD
stable disease
ROC
receiver operating characteristic

Background

Among malignant tumors, lung cancer is a leading global cause of death due to its aggressive tumor evasion and metastasis characteristics [1, 2]. Surgery is generally regarded as the standard of care for patients with early-stage and oligometastatic non-small cell lung cancer (NSCLC) [36]. Recently, stereotactic ablative radiotherapy (SABR), a high-precision treatment approach that combines multiple technological advancements for the delivery of radiation, has become increasingly useful as a significant alternative therapy for patients with early-stage and oligometastatic NSCLC who are at high risk of various surgical complications [713]. Notably, the effectiveness of SABR for early-stage NSCLC is comparable to that of surgery. A pooled analysis of two independent, randomized, phase III trials showed that overall rates of 3 years survival were 95% in the SABR group and 79% in the surgery group for operable stage I NSCLC [14]. Additionally, for oligometastatic NSCLC and lung metastases, SABR showed remarkable efficiency with regard to local control and survival [1113, 15]. Lodeweges et al. [15], meanwhile, reported 5-year overall survival rates of 41% for surgery and 45% for SABR in patients with pulmonary oligometastases.
Despite SABR’s remarkable control of local NSCLC lesions, patients have shown mixed early tumor responses. However, markers to predict early tumor response to SABR have not been investigated thoroughly. A previous study revealed that at least a 20% lung lesion shrinkage by the final session of SABR could be predictive of a complete response within 6 months [16]. Also, Mazzola et al. [17] reported the mean and maximum values of pre-SABR standard uptake value to be both significantly correlated with a complete response within 6 months after SABR treatment of lung metastases from various primary tumors.
Multiple parameters, such as occurrence, development, recurrence, and metastasis of tumors, comprise processes by which tumors evade immune surveillance; this evasion is closely related to host immune function. Many studies have investigated the predictive values of peripheral and tumor-infiltrating lymphocyte (TIL) subsets to assess tumor response to chemotherapy, radiotherapy, and chemo-radiotherapy in various tumors [1823]. For example, several previous studies have revealed significant correlations between a variety of parameters (e.g., CD4+ TILs, CD8+ TILs, tumor-infiltrating myeloid-derived suppressor cells, and peripheral lymphocyte number) and the tumor response to neoadjuvant chemo-radiotherapy for advanced rectal cancer [19, 24]. In a study of breast cancer patients, the TILs and PD-L1 assessed in the epithelium or stroma were predictive of a complete pathological response to neoadjuvant chemotherapy [21]. Additionally, peripheral CD8+ T-cell counts, CD3+ T-cell counts, CD19+ B-cell counts, and CD4/CD8 ratio all showed relationships with tumor response to carbon ion radiotherapy in patients with prostate cancer [25].
The activation of CD8+ T cells involves both the T cell receptor (TCR) and CD28 signals [26, 27]. As an essential co-stimulatory molecule, CD28 on CD8+ T cells interacts with B7 molecules on antigen-presenting cells to activate the anti-tumor immune response of CD8+ T cells to tumor antigens. However, CD8+ T cells in cancer patients can lose the expression of CD28 due to the chronic stimulation of tumor antigens and consequently present with a non-responsive status to tumor antigens [28, 29]. We also reported this phenomenon in our previous study, as did other studies, that decreased CD8+CD28+ T cells and increased CD8+CD28− T cells were observable in NSCLC patients when compared with healthy volunteers [3032]. In two recent studies, PD-1 inhibited the function of T cells by inactivating CD28 signaling, and PD-1-targeted therapies rescued CD28+ cells but not CD28− cells among CD8+ T cells, suggesting that CD28 signal plays vital roles in regulating the function of effector T cells [33, 34]. Thus, CD8+CD28+ T cells may exert anti-tumor efficiency among CD8+ T cells.
More importantly for SABR, a growing number of studies have shown that its remarkable efficiency is partially a result of host immune status and the interaction between SABR and the immune response [3537]. Specifically, SABR could facilitate the immunogenic cell death of cancer cells, release tumor antigens, recruit antigen-presenting cells to present antigens to T cells, and activate the antitumor effect of CD8+ T cells through TCR and CD28 signals [38]. Thus, we speculate that the CD8+CD28+ T-cell count is associated with the response to SABR in patients. However, thus far, no previous study has examined the predictive value of immune factors for early tumor response to SABR in patients with lung metastases. Therefore, our aim consisted of evaluating the predictive roles of pre-SABR CD8+ T-cell counts, CD8+CD28+ T-cell counts, CD8+CD28− T-cell counts, CD4+ T-cell counts, and Treg-cell counts in peripheral blood for early tumor response to SABR in patients with lung metastases from NSCLC.

Methods

Patient selection

A total of 70 patients with histologically confirmed lung metastases from NSCLC, who were treated with SABR between January 2015 and September 2018, were included in the present study. All patients received definitive treatment for primary tumors. We excluded patients (1) aged < 18 years; (2) with performance status > 2; (3) who received an anti-tumor treatment or steroids during the 3 months leading to enrollment; (4) who received concurrent chemotherapy, targeted therapy, or other anti-tumor treatment within 1 month leading to SABR; (5) with other malignant tumors; (6) with hematonosis; (7) with immune diseases, including rheumatoid arthritis, systemic lupus erythematosus, chronic liver disease, ulcerative colitis, hyperthyroidism, and scleroderma; and/or (8) with renal diseases. The Ethics Committee of the Affiliated Hospital of the Academy of Military Medical Sciences approved this study. All patients and volunteers provided written informed consents.
Patient characteristics, including sex, age, primary T stage, primary N stage, primary AJCC stage (based on AJCC-7 criteria [39]), histology, performance status, and smoking history, were collected from electronic medical records.

Detection of lung metastases and SABR

Lung metastases were identified by tumor biopsies, as well as by computed tomography (CT) and positron emission tomography/computed tomography (PET/CT). All lung metastases were treated with SABR using a CyberKnife. Respiratory-induced tumor motion was tracked using a real-time tumor tracking system. The prescribed radiation therapy dose was administered at the discretion of the treating radiation oncologist, in order to respect normal tissue tolerances. Fifty gray in 5 fractions, or 70 gray in 10 fractions, were used. BED10 was assessed using the formula D × [1 + d/(α/β)], where D is the total dose, d is the dose per fraction, and α/β is 10 [40].

Early tumor response to SABR

We evaluated the early tumor response 1 month and 6 months after SABR treatment per RECIST guidelines (version 1.1) [41] by using CT or PET-CT. The disappearance of targeted lung metastases characterized a complete response (CR). A partial response (PR) was characterized by a reduction of at least 30% of the diameter of targeted lung metastases. Progressive disease was characterized by an increase of at least 20% of the diameter of targeted lung metastases. Stable disease (SD) was characterized by the absence of sufficient shrinkage to meet the definition for PR or the lack of sufficient increase to meet the definition for PD. One month after SABR, patients who exhibited CR and PR were labelled responsive patients, while those who exhibited SD and PD were referred to as non-responsive patients. Furthermore, patients who exhibited CR were denoted responsive patients, and those who exhibited PR and SD were referred to as non-responsive patients 6 months after SABR; since CR was observed in almost half of the patients at this time.

Flow cytometry

The protocol for flow cytometry has been described in our previous study [30]. Four milliliters of fresh blood were collected and stored in EDTA anti-coagulate tubes within 7 days before SABR. CD8+ T-cell count (CD3+CD8+CD4−), CD8+CD28+ T-cell count (CD3+CD8+CD28+), CD8+CD28− T-cell count (CD3+CD8+CD28−), CD4+ T-cell count (CD3+CD4+CD8−), and Treg-cell count (CD4+CD25+CD127low) were assessed. Figure 1 shows representative flow cytometry plots and gating.

Statistical analysis

Data were evaluated using the SPSS 23.0 software (SPSS Inc., Chicago, IL, USA). A receiver operating characteristic (ROC) curve was used to determine high and low immune cells to distinguish between responsive and non-responsive patients. The independent Student’s t-test was used for comparison of differences involving immune cells between responsive and non-responsive patients. Logistic regression was used to assess the relationships between factors and early tumor response after SABR. Variables with P < 0.05 in univariate analyses were used in multivariate analyses. A P value < 0.05 was considered to be statistically significant.

Results

Patient characteristics

Table 1 presents the clinicopathological characteristics of 70 enrolled patients. The median age was 64 (44–90) years. Fifty-two (74.3%) patients had isolated lung metastases, while 18 (25.7%) patients had multiple metastases. The median diameter of targeted lung metastases was 3.5 (1.3–7.9) cm. Based on the RECIST 1.1 guidelines, 2 (2.86%) patients experienced CR, 50 (71.43%) experienced PR, and 18 (25.71%) experienced SD, 1 month after SABR (Fig. 2a); the mean tumor size of lung metastases decreased from 3.75 ± 0.24 to 2.11 ± 0.17 cm (Fig. 2b). Fourty-one patients were evaluated for tumor response 6 months after SABR; 18 (43.90%) patients experienced CR, 19 (46.34%) experienced PR, and 4 (9.75%) experienced SD.
Table 1
Clinicopathological characteristics of 70 patients with lung metastases from NSCLC
Factors
N
%
Sex
 Male
47
67.1
 Female
23
32.9
Median age
64 (44–90)
 
Primary T stage
 T1
20
28.6
 T2
30
42.9
 T3
10
14.3
 T4
10
14.3
Primary N stage
 N0
22
31.4
 N1
20
28.6
 N2
19
27.1
 N3
9
12.9
Primary stage
 I
15
21.4
 II
19
27.1
 III
36
51.4
Histology
 SCC
38
54.3
 AD
32
45.7
Performance status
 0
33
47.1
 1
36
51.4
 2
1
1.4
Smoking history
 Smoker
42
60.0
 Non-smoker
28
40.0
Metastatic status
 Isolated lung metastasis
52
74.3
 Multiple metastases
18
25.7
The diameter of targeted lung metastases
3.5 (1.3–7.9) cm
 

Increased CD8+CD28+ T-cell count and CD4/Treg ratio in responsive patients

One-month responsive patients showed higher CD8+CD28+ T-cell counts, compared non-responsive patients (14.43 ± 0.65 vs. 10.21 ± 0.66, P = 0.001, Fig. 3a). The AUC for CD8+CD28+ T cells in the distinction between responsive and non-responsive patients was 0.771 (Fig. 3b). An increased CD4/Treg ratio was observed in 1-month responsive patients, compared with non-responsive patients (16.96 ± 1.76 vs. 11.91 ± 0.74, P = 0.011, Fig. 3c). The AUC for CD4/Treg ratio to distinguish between 1-month responsive and non-responsive patients was 0.644 (Fig. 3d).
There were no significant differences between responsive and non-responsive patients for other immune parameters 1 month after SABR (all P > 0.05, Fig. 4). ROC curves for these immune parameters to differentiate between responsive and non-responsive patients are shown in Supplementary Fig. 1. Among all the immune parameters evaluated, the most sensitive and specific marker was the CD8+CD28+ T-cell count (AUC = 0.771). The others, CD4/Treg ratio (AUC = 0.644), CD8+CD28− T-cell count (AUC = 0.532), Treg-cell count (AUC = 0.520), CD4+ T-cell count (AUC = 0.577), CD8+ T-cell count (AUC = 0.578), CD8/Treg ratio (AUC = 0.520), and CD8/CD4 ratio (AUC = 0.523), were all somewhat less sensitive and specific markers (Fig. 3, Additional file 1: Figure S1).
We reported similar results to the 1-month post-SABR treatment 6 months after SABR. Responsive patients registered higher CD8+CD28+ T-cell counts and CD4/Treg ratio, compared with non-responsive patients (P < 0.001 and P = 0.036, respectively, Additional file 1: Figure S2). The AUC for CD8+CD28+ T and CD4/Treg ratio to distinguish between responsive and non-responsive patients were 0.780 and 0.623, respectively (Additional file 1: Figure S2). There were no significant differences between responsive and non-responsive patients for other immune parameters 6 months after SABR (all P > 0.05, Additional file 1: Figure S3). The most sensitive and specific marker to differentiate responsive from non-responsive patients 6 months after SABR was also the CD8+CD28+ T-cell count (AUC = 0.780); the other immune populations were less sensitive and specific (Additional file 1: Figure S4).

Predictive value of the CD8+CD28+ T-cell count for early tumor response to SABR

By employing the ROC curve analysis, we identified cut-off values for immune parameters (high vs. low) to distinguish tumor response from non-response. The respective cut-off values for the CD8+CD28+ T-cell count, CD4/Treg ratio, CD8+CD28− T-cell count, Treg-cell count, CD4+ T-cell count, CD8+ T-cell count, CD8/Treg ratio, and CD8/CD4 ratio were 12.52, 12.88, 12.50, 2.91, 38.80, 30.10, 8.91, and 0.79.
Table 2 shows the findings from univariate and multivariate analyses of the likelihood of an early tumor response 1 month after SABR. In the univariate analyses, high CD8+CD28+ T-cell counts (OR 0.12, 95% CI 0.03–0.48; P = 0.003), CD4/Treg ratio (OR 0.24, 95% CI 0.06–0.90; P = 0.035), and BED10 (OR 0.91, 95% CI 0.84–0.99; P = 0.032) predicted tumor response to SABR. We did not find statistically significant correlations between tumor response and multiple parameters: CD8+CD28− T-cell counts, Treg-cell counts, CD4+ T-cell counts, CD8+ T-cell counts, CD8/Treg ratio, and CD8/CD4 ratio (all P > 0.05). We also found no significant association between tumor response and clinicopathological characteristics, including sex, age, primary T stage, primary N stage, primary AJCC stage, histology, performance status, and smoking history (all P > 0.05).
Table 2
Univariate and multivariate analyses of the likelihood of early tumor response 1 month after SABR
Factors
OR
95% CI
P
CD8+CD28+ T
 Low
Reference
  
 High
0.12
0.03–0.48
0.003
CD8+CD28+ T (adjusted)
0.19
0.04–0.90
0.037
CD8+CD28− T
 Low
Reference
  
 High
1.83
0.61–5.47
0.277
Treg
 Low
Reference
  
 High
1.65
0.49–5.46
0.412
CD4+ T
 Low
Reference
  
 High
0.54
0.18–1.62
0.277
CD4/Treg ratio
 Low
Reference
  
 High
0.24
0.06–0.90
0.035
CD4/Treg ratio (adjusted)
0.25
0.06–1.05
0.059
CD8+ T
 Low
Reference
  
 High
1.00
0.34–2.92
1.000
CD8/Treg ratio
 Low
Reference
  
 High
0.79
0.24–2.59
0.704
CD8/CD4 ratio
 Low
Reference
  
 High
0.74
0.25–2.17
0.585
Age
1.03
0.98–1.09
0.140
Sex
 Female
Reference
  
 Male
0.97
0.31–3.03
0.960
Primary T stage
 T1
Reference
  
 T2–4
1.05
0.32–3.47
0.931
Primary N stage
 N0
Reference
  
 N1–3
1.26
0.38–4.12
0.699
Primary stage
 I
Reference
  
 II–III
2.66
0.53–13.18
0.229
Histology
 SCC
Reference
  
 AD
1.26
0.43–3.69
0.672
Performance status
 0
Reference
  
 1–2
0.85
0.29–2.50
0.778
Smoking history
 Non-smoker
Reference
  
 Smoker
0.57
0.19–1.70
0.318
Metastatic status
 Isolated lung metastasis
Reference
  
 Multiple metastasis
1.66
0.51–5.38
0.393
The diameter of targeted lung metastases
0.98
0.64–1.49
0.932
BED10
0.91
0.84–0.99
0.032
BED10 (adjusted)
0.90
0.80–1.02
0.109
CD8+CD28+ T-cell counts, CD4/Treg ratio, and BED10 were enrolled in the multivariate analyses. The results showed that only CD8+CD28+ T-cell counts independently predicted early tumor response 1 month after SABR with statistical significance (OR 0.19, 95% CI 0.04–0.90; P = 0.037). CD4/Treg ratio correlated with early tumor response with a clear trend (OR 0.25, 95% CI 0.06–1.05; P = 0.059).
To confirm the independent predictive value of immune cells, we conducted univariate and multivariate analyses of the likelihood of early tumor response 6 months after SABR and presented the results in Additional file 1: Table S1. The independent predictive value of the CD8+CD28+ T-cell count in predicting tumor response was confirmed 6 months after SABR (OR 0.08, 95% CI 0.01–0.85; P = 0.039, Additional file 1: Table S1).

Discussion

CD28 is a co-stimulatory molecule that is required for CD8+ T cells to develop an anti-tumor response [33, 4244]. A recent study revealed that exhausted CD8 T cells are rescued by PD-1-targeted therapies in a CD28-dependent manner [33]. In contrast, the loss of CD28 expression causes CD8 T cells to lose cytotoxic function and inhibits T cell proliferation [44]. Thus, we focused on the role of CD8+ T cells, CD8+CD28+ T cells, CD8+CD28− T cells, and other immune cells in patients with lung metastases undergoing SABR. To the best of our knowledge, the present study is the first of its kind to investigate the relationship between peripheral CD8+CD28+ T-cell count and early tumor response to SABR. We found higher peripheral CD8+CD28+ T-cell counts in patients who were responsive to SABR than in those who were non-responsive. Using logistic regression analyses, we revealed the independent predictive value of the CD8+CD28+ T-cell count for early tumor response to SABR.
A previous study reported increased CD8+CD28− T-cell counts and decreased CD8+CD28+ T-cell counts in the peripheral blood of breast cancer patients, relative to healthy controls. Moreover, there was a favorable correlation between high CD8+CD28+ T-cell counts and survival [45]. In another study conducted in melanoma patients, lower CD8+CD28+ T cells were recorded, compared with healthy volunteers; CD8+CD28+ T cells correlated positively with the 3-year survival of 38 melanoma patients but without statistical significance, which could be explained by the limited sample size [46]. Our investigation revealed that the CD8+CD28+ T-cell count correlated positively with tumor response to SABR in patients with lung metastases, which was consistent with previous findings and the anti-tumor function of these particular immune cells.
Another unique finding in our study was the presence of an increased CD4/Treg ratio in responsive patients, relative to that in their non-responsive counterparts. Also, the CD4/Treg ratio correlated with early tumor response to SABR with a clear trend. Results from a previous report revealed that high CD4/Treg ratio correlated with longer survival in a group of patients with ovarian cancer, which is consistent with our findings [47]. Another study revealed that high Treg/CD4 ratio, but not Treg/CD8 ratio, was associated with poor survival in patients with lung adenocarcinomas [48]. Our results showed comparable correlations between CD4/Treg ratio and CD8/Treg ratio and the tumor response after SABR.
Extensive research has shown that CD4+ T cells are a markedly heterogeneous group of T cells with multiple subsets (e.g., Th1, Th2, Th17, and Treg) [49]. A high CD4/Treg ratio indicates a low ratio of Treg cells among CD4+ T cells and a high ratio of T helper cells that support anti-tumor immunity. Our results suggest that in patients with high CD4/Treg ratios, the immune response was more strongly activated after SABR, thereby resulting in improved tumor regression.
A recent study revealed that post-treatment CD8+ T cells correlated with decent survival in early-stage NSCLC patients undergoing SABR [50]. Also, CD8+ tumor-infiltrating lymphocytes have been shown to correlate with tumor response after chemotherapy in breast cancer patients and chemo-radiotherapy in rectal cancer patients [19, 51, 52]. However, we did not find differences in CD8+ T-cell counts or CD4+ T-cell counts between responsive and non-responsive patients, or the predictive values of these parameters for tumor response to SABR; this may be because these are heterogeneous groups of T cells with multiple subsets. For example, CD8+ T cells include CD8+CD28− T cells and CD8+CD28+ T cells that have contrasting immune effects [42].
Treg cells contribute to the prevalence of immunosuppressive mechanisms by inhibiting the immune response toward a variety of cancer cells [53, 54]. Several studies have revealed the adverse effect of peripheral and tumor-infiltrating Treg cells on survival and tumor response in NSCLC patients after treatment [5557]. Our results showed no significant correlation between Treg-cell counts and tumor response to SABR; we suspect that this may be related to the limited number of samples.
The results of several studies suggest that early tumor response after treatment may be associated with the survival of cancer patients [5862]. For example, a CR after neoadjuvant chemotherapy correlated with better survival in estrogen receptor-positive/human epidermal growth factor receptor 2-negative breast cancer [59]. According to Tao et al. [58], patients with pathological CR were found to have better survival than those without pathological CR in advanced NSCLC individuals undergoing radio-chemotherapy, and the difference between the two groups reached statistical significance in relapse-free survival. With that in mind, we proposed that 1-month tumor response to SABR could as well predict survival in NSCLC. Thus far, few predictors have been investigated to determine tumor response after SABR. High BED10 has been associated with better tumor control through the direct cell-killing effect of radiation [17, 63]. Per this suggestion, we found that BED10 correlated with better tumor response to SABR. Previous studies have also shown that the shrinkage of the lung lesion by at least 20% at the last session of SABR, combined with the mean and maximum pre-SABR standard uptake values, were predictive of complete response 6 months after SABR [16, 17]. Our investigation did identify an additional factor, the pre-SABR CD8+CD28+ T-cell count, as predictive of early tumor response to SABR.
There are limitations and possible biases in our study. First, the sample size (N = 70) was somewhat limited; more extensive studies are needed in the future. Second, although we evaluated the early tumor response 1 month after SABR for all 70 patients, we were only able to assess the response in 41 patients 6 months after SABR because some patients were followed-up in their local hospitals, and we never got the results from those follow-ups. Third, previous histories of chemotherapy, radiotherapy, and surgery may have influenced the peripheral immune cell counts in our investigation. Finally, a different radiation dose was used for lung metastases because of usual tissue constraints.

Conclusions

Our results suggest that the pre-SABR CD8+CD28+ T-cell count predicts early tumor response to SABR in patients with lung metastases from NSCLC independently. The results also highlight the importance of patient immune status in ensuring the remarkable efficiency of SABR. Identification of patients who are not responsive to SABR could facilitate the optimization of treatment strategies, such as those including the combined administration of chemotherapy or immune checkpoint inhibitors.

Authors’ contributions

JMY, HZ, and CL conceived and designed the study. CL, QYH, KH, HCS, FS, and LK collected clinicopathological data and blood samples. CL and QYH performed the experiments, statistical analysis, and wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data included in our study are shown in our manuscript.
All patients and healthy volunteers provided written informed consents.
This investigation received approval from the Ethics Committee of the Affiliated Hospitals of Academy of Military Medical Sciences.

Funding

This work was supported by the National Key Research and Development Program of China (No. 2018YFC1313200) and the Shandong Key Research and Development Program (No. 2016CYJS01A03).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. Cancer J Clin. 2018;68:7–30.CrossRef Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. Cancer J Clin. 2018;68:7–30.CrossRef
2.
Zurück zum Zitat Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. Cancer J Clin. 2016;66:115–32.CrossRef Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. Cancer J Clin. 2016;66:115–32.CrossRef
3.
Zurück zum Zitat Stokes WA, Bronsert MR, Meguid RA, Blum MG, Jones BL, Koshy M, et al. Post-treatment mortality after surgery and stereotactic body radiotherapy for early-stage non-small-cell lung cancer. J Clin Oncol. 2018;36:642–51.CrossRef Stokes WA, Bronsert MR, Meguid RA, Blum MG, Jones BL, Koshy M, et al. Post-treatment mortality after surgery and stereotactic body radiotherapy for early-stage non-small-cell lung cancer. J Clin Oncol. 2018;36:642–51.CrossRef
4.
Zurück zum Zitat Scagliotti GV, Pastorino U, Vansteenkiste JF, Spaggiari L, Facciolo F, Orlowski TM, et al. Randomized phase III study of surgery alone or surgery plus preoperative cisplatin and gemcitabine in stages IB to IIIA non-small-cell lung cancer. J Clin Oncol. 2012;30:172–8.CrossRef Scagliotti GV, Pastorino U, Vansteenkiste JF, Spaggiari L, Facciolo F, Orlowski TM, et al. Randomized phase III study of surgery alone or surgery plus preoperative cisplatin and gemcitabine in stages IB to IIIA non-small-cell lung cancer. J Clin Oncol. 2012;30:172–8.CrossRef
5.
Zurück zum Zitat Timmerman RD, Bizekis CS, Pass HI, Fong Y, Dupuy DE, Dawson LA, et al. Local surgical, ablative, and radiation treatment of metastases. Cancer J Clin. 2009;59:145–70.CrossRef Timmerman RD, Bizekis CS, Pass HI, Fong Y, Dupuy DE, Dawson LA, et al. Local surgical, ablative, and radiation treatment of metastases. Cancer J Clin. 2009;59:145–70.CrossRef
6.
Zurück zum Zitat Kwint M, Walraven I, Burgers S, Hartemink K, Klomp H, Knegjens J, et al. Outcome of radical local treatment of non-small cell lung cancer patients with synchronous oligometastases. Lung Cancer (Amsterdam, Netherlands). 2017;112:134–9.CrossRef Kwint M, Walraven I, Burgers S, Hartemink K, Klomp H, Knegjens J, et al. Outcome of radical local treatment of non-small cell lung cancer patients with synchronous oligometastases. Lung Cancer (Amsterdam, Netherlands). 2017;112:134–9.CrossRef
7.
Zurück zum Zitat Timmerman RD, Paulus R, Pass HI, Gore EM, Edelman MJ, Galvin J, et al. Stereotactic body radiation therapy for operable early-stage lung cancer: findings from the NRG oncology RTOG 0618 trial. JAMA Oncol. 2018;4:1263–6.CrossRef Timmerman RD, Paulus R, Pass HI, Gore EM, Edelman MJ, Galvin J, et al. Stereotactic body radiation therapy for operable early-stage lung cancer: findings from the NRG oncology RTOG 0618 trial. JAMA Oncol. 2018;4:1263–6.CrossRef
8.
Zurück zum Zitat Schneider BJ, Daly ME, Kennedy EB, Antonoff MB, Broderick S, Feldman J, et al. Stereotactic body radiotherapy for early-stage non-small-cell lung cancer: american society of clinical oncology endorsement of the american society for radiation oncology evidence-based guideline. J Clin Oncol. 2018;36:710–9.CrossRef Schneider BJ, Daly ME, Kennedy EB, Antonoff MB, Broderick S, Feldman J, et al. Stereotactic body radiotherapy for early-stage non-small-cell lung cancer: american society of clinical oncology endorsement of the american society for radiation oncology evidence-based guideline. J Clin Oncol. 2018;36:710–9.CrossRef
9.
Zurück zum Zitat Folkert MR, Timmerman RD. Stereotactic ablative body radiosurgery (SABR) or Stereotactic body radiation therapy (SBRT). Adv Drug Deliv Rev. 2017;109:3–14.CrossRef Folkert MR, Timmerman RD. Stereotactic ablative body radiosurgery (SABR) or Stereotactic body radiation therapy (SBRT). Adv Drug Deliv Rev. 2017;109:3–14.CrossRef
10.
Zurück zum Zitat Paul S, Lee PC, Mao J, Isaacs AJ, Sedrakyan A. Long term survival with stereotactic ablative radiotherapy (SABR) versus thoracoscopic sublobar lung resection in elderly people: national population based study with propensity matched comparative analysis. BMJ (Clinical Research ed). 2016;354:i3570.PubMedCentral Paul S, Lee PC, Mao J, Isaacs AJ, Sedrakyan A. Long term survival with stereotactic ablative radiotherapy (SABR) versus thoracoscopic sublobar lung resection in elderly people: national population based study with propensity matched comparative analysis. BMJ (Clinical Research ed). 2016;354:i3570.PubMedCentral
11.
Zurück zum Zitat Xu Q, Zhou F, Liu H, Jiang T, Li X, Xu Y, et al. Consolidative local ablative therapy improves the survival of patients with synchronous oligometastatic NSCLC harboring EGFR activating mutation treated with first-line EGFR-TKIs. J Thor Oncol. 2018;13:1383–92.CrossRef Xu Q, Zhou F, Liu H, Jiang T, Li X, Xu Y, et al. Consolidative local ablative therapy improves the survival of patients with synchronous oligometastatic NSCLC harboring EGFR activating mutation treated with first-line EGFR-TKIs. J Thor Oncol. 2018;13:1383–92.CrossRef
12.
Zurück zum Zitat Sutera P, Clump DA, Kalash R, D’Ambrosio D, Mihai A, Wang H, et al. Initial results of a multicenter phase II trial of stereotactic ablative radiation therapy for oligometastatic cancer. Int J Rad Oncol Biol Phys. 2018;103:116–22.CrossRef Sutera P, Clump DA, Kalash R, D’Ambrosio D, Mihai A, Wang H, et al. Initial results of a multicenter phase II trial of stereotactic ablative radiation therapy for oligometastatic cancer. Int J Rad Oncol Biol Phys. 2018;103:116–22.CrossRef
13.
Zurück zum Zitat Sun B, Brooks ED, Komaki R, Liao Z, Jeter M, McAleer M, et al. Long-term outcomes of salvage stereotactic ablative radiotherapy for isolated lung recurrence of non-small cell lung cancer: a phase II clinical trial. J Thor Oncol. 2017;12:983–92.CrossRef Sun B, Brooks ED, Komaki R, Liao Z, Jeter M, McAleer M, et al. Long-term outcomes of salvage stereotactic ablative radiotherapy for isolated lung recurrence of non-small cell lung cancer: a phase II clinical trial. J Thor Oncol. 2017;12:983–92.CrossRef
14.
Zurück zum Zitat Chang JY, Senan S, Paul MA, Mehran RJ, Louie AV, Balter P, et al. Stereotactic ablative radiotherapy versus lobectomy for operable stage I non-small-cell lung cancer: a pooled analysis of two randomised trials. Lancet Oncol. 2015;16:630–7.CrossRef Chang JY, Senan S, Paul MA, Mehran RJ, Louie AV, Balter P, et al. Stereotactic ablative radiotherapy versus lobectomy for operable stage I non-small-cell lung cancer: a pooled analysis of two randomised trials. Lancet Oncol. 2015;16:630–7.CrossRef
15.
Zurück zum Zitat Lodeweges JE, Klinkenberg TJ, Ubbels JF, Groen HJM, Langendijk JA, Widder J. Long-term outcome of surgery or stereotactic radiotherapy for lung oligometastases. J Thor Oncol. 2017;12:1442–5.CrossRef Lodeweges JE, Klinkenberg TJ, Ubbels JF, Groen HJM, Langendijk JA, Widder J. Long-term outcome of surgery or stereotactic radiotherapy for lung oligometastases. J Thor Oncol. 2017;12:1442–5.CrossRef
16.
Zurück zum Zitat Mazzola R, Fiorentino A, Ricchetti F, Giaj Levra N, Fersino S, Di Paola G, et al. Cone-beam computed tomography in lung stereotactic ablative radiation therapy: predictive parameters of early response. Br J Radiol. 2016;89:20160146.CrossRef Mazzola R, Fiorentino A, Ricchetti F, Giaj Levra N, Fersino S, Di Paola G, et al. Cone-beam computed tomography in lung stereotactic ablative radiation therapy: predictive parameters of early response. Br J Radiol. 2016;89:20160146.CrossRef
17.
Zurück zum Zitat Mazzola R, Fiorentino A, Di Paola G, Giaj Levra N, Ricchetti F, Fersino S, et al. Stereotactic ablative radiation therapy for lung oligometastases: predictive parameters of early response by (18)FDG-PET/CT. J Thor Oncol. 2017;12:547–55.CrossRef Mazzola R, Fiorentino A, Di Paola G, Giaj Levra N, Ricchetti F, Fersino S, et al. Stereotactic ablative radiation therapy for lung oligometastases: predictive parameters of early response by (18)FDG-PET/CT. J Thor Oncol. 2017;12:547–55.CrossRef
18.
Zurück zum Zitat Tang C, Welsh JW, de Groot P, Massarelli E, Chang JY, Hess KR, et al. Ipilimumab with stereotactic ablative radiation therapy: phase I results and immunologic correlates from peripheral t cells. Clin Cancer Res. 2017;23:1388–96.CrossRef Tang C, Welsh JW, de Groot P, Massarelli E, Chang JY, Hess KR, et al. Ipilimumab with stereotactic ablative radiation therapy: phase I results and immunologic correlates from peripheral t cells. Clin Cancer Res. 2017;23:1388–96.CrossRef
19.
Zurück zum Zitat Teng F, Meng X, Kong L, Mu D, Zhu H, Liu S, et al. Tumor-infiltrating lymphocytes, forkhead box P3, programmed death ligand-1, and cytotoxic T lymphocyte-associated antigen-4 expressions before and after neoadjuvant chemoradiation in rectal cancer. Transl Res. 2015;166(721–32):e1. Teng F, Meng X, Kong L, Mu D, Zhu H, Liu S, et al. Tumor-infiltrating lymphocytes, forkhead box P3, programmed death ligand-1, and cytotoxic T lymphocyte-associated antigen-4 expressions before and after neoadjuvant chemoradiation in rectal cancer. Transl Res. 2015;166(721–32):e1.
20.
Zurück zum Zitat Cho Y, Kim KH, Yoon HI, Kim GE, Kim YB. Tumor-related leukocytosis is associated with poor radiation response and clinical outcome in uterine cervical cancer patients. Ann Oncol. 2016;27:2067–74.CrossRef Cho Y, Kim KH, Yoon HI, Kim GE, Kim YB. Tumor-related leukocytosis is associated with poor radiation response and clinical outcome in uterine cervical cancer patients. Ann Oncol. 2016;27:2067–74.CrossRef
21.
Zurück zum Zitat Wimberly H, Brown JR, Schalper K, Haack H, Silver MR, Nixon C, et al. PD-L1 expression correlates with tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy in breast cancer. Cancer Immunol Res. 2015;3:326–32.CrossRef Wimberly H, Brown JR, Schalper K, Haack H, Silver MR, Nixon C, et al. PD-L1 expression correlates with tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy in breast cancer. Cancer Immunol Res. 2015;3:326–32.CrossRef
22.
Zurück zum Zitat Denkert C, von Minckwitz G, Brase JC, Sinn BV, Gade S, Kronenwett R, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2-positive and triple-negative primary breast cancers. J Clin Oncol. 2015;33:983–91.CrossRef Denkert C, von Minckwitz G, Brase JC, Sinn BV, Gade S, Kronenwett R, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2-positive and triple-negative primary breast cancers. J Clin Oncol. 2015;33:983–91.CrossRef
23.
Zurück zum Zitat Jie HB, Srivastava RM, Argiris A, Bauman JE, Kane LP, Ferris RL. Increased PD-1(+) and TIM-3(+) TILs during cetuximab therapy inversely correlate with response in head and neck cancer patients. Cancer Immunol Res. 2017;5:408–16.CrossRef Jie HB, Srivastava RM, Argiris A, Bauman JE, Kane LP, Ferris RL. Increased PD-1(+) and TIM-3(+) TILs during cetuximab therapy inversely correlate with response in head and neck cancer patients. Cancer Immunol Res. 2017;5:408–16.CrossRef
24.
Zurück zum Zitat Kitayama J, Yasuda K, Kawai K, Sunami E, Nagawa H. Circulating lymphocyte number has a positive association with tumor response in neoadjuvant chemoradiotherapy for advanced rectal cancer. Radiat Oncol (London, England). 2010;5:47.CrossRef Kitayama J, Yasuda K, Kawai K, Sunami E, Nagawa H. Circulating lymphocyte number has a positive association with tumor response in neoadjuvant chemoradiotherapy for advanced rectal cancer. Radiat Oncol (London, England). 2010;5:47.CrossRef
25.
Zurück zum Zitat Yang ZR, Zhao N, Meng J, Shi ZL, Li BX, Wu XW, et al. Peripheral lymphocyte subset variation predicts prostate cancer carbon ion radiotherapy outcomes. Oncotarget. 2016;7:26422.PubMedPubMedCentral Yang ZR, Zhao N, Meng J, Shi ZL, Li BX, Wu XW, et al. Peripheral lymphocyte subset variation predicts prostate cancer carbon ion radiotherapy outcomes. Oncotarget. 2016;7:26422.PubMedPubMedCentral
26.
Zurück zum Zitat Sharpe AH, Pauken KE. The diverse functions of the PD1 inhibitory pathway. Nat Rev Immunol. 2018;18:153–67.CrossRef Sharpe AH, Pauken KE. The diverse functions of the PD1 inhibitory pathway. Nat Rev Immunol. 2018;18:153–67.CrossRef
27.
Zurück zum Zitat Bour-Jordan H, Blueston JA. CD28 function: a balance of costimulatory and regulatory signals. J Clin Immunol. 2002;22:1–7.CrossRef Bour-Jordan H, Blueston JA. CD28 function: a balance of costimulatory and regulatory signals. J Clin Immunol. 2002;22:1–7.CrossRef
28.
Zurück zum Zitat Rudd CE, Taylor A, Schneider H. CD28 and CTLA-4 coreceptor expression and signal transduction. Immunol Rev. 2009;229:12–26.CrossRef Rudd CE, Taylor A, Schneider H. CD28 and CTLA-4 coreceptor expression and signal transduction. Immunol Rev. 2009;229:12–26.CrossRef
29.
Zurück zum Zitat Weng NP, Akbar AN, Goronzy J. CD28(−) T cells: their role in the age-associated decline of immune function. Trends Immunol. 2009;30:306–12.CrossRef Weng NP, Akbar AN, Goronzy J. CD28(−) T cells: their role in the age-associated decline of immune function. Trends Immunol. 2009;30:306–12.CrossRef
30.
Zurück zum Zitat Liu C, Wu S, Meng X, Liu G, Chen D, Cong Y, et al. Predictive value of peripheral regulatory T cells in non-small cell lung cancer patients undergoing radiotherapy. Oncotarget. 2017;8:43427–38.PubMedPubMedCentral Liu C, Wu S, Meng X, Liu G, Chen D, Cong Y, et al. Predictive value of peripheral regulatory T cells in non-small cell lung cancer patients undergoing radiotherapy. Oncotarget. 2017;8:43427–38.PubMedPubMedCentral
31.
Zurück zum Zitat Chen C, Chen D, Zhang Y, Chen Z, Zhu W, Zhang B, et al. Changes of CD4+CD25+ FOXP3+ and CD8+CD28− regulatory T cells in non-small cell lung cancer patients undergoing surgery. Int Immunopharmacol. 2014;18:255–61.CrossRef Chen C, Chen D, Zhang Y, Chen Z, Zhu W, Zhang B, et al. Changes of CD4+CD25+ FOXP3+ and CD8+CD28− regulatory T cells in non-small cell lung cancer patients undergoing surgery. Int Immunopharmacol. 2014;18:255–61.CrossRef
32.
Zurück zum Zitat Karagoz B, Bilgi O, Gumus M, Erikci AA, Sayan O, Turken O, et al. CD8+CD28− cells and CD4+CD25+ regulatory T cells in the peripheral blood of advanced stage lung cancer patients. Med Oncol (Northwood, London, England). 2010;27:29–33.CrossRef Karagoz B, Bilgi O, Gumus M, Erikci AA, Sayan O, Turken O, et al. CD8+CD28− cells and CD4+CD25+ regulatory T cells in the peripheral blood of advanced stage lung cancer patients. Med Oncol (Northwood, London, England). 2010;27:29–33.CrossRef
33.
Zurück zum Zitat Kamphorst AO, Wieland A, Nasti T, Yang S, Zhang R, Barber DL, et al. Rescue of exhausted CD8 T cells by PD-1-targeted therapies is CD28-dependent. Science (New York, NY). 2017;355:1423–7.CrossRef Kamphorst AO, Wieland A, Nasti T, Yang S, Zhang R, Barber DL, et al. Rescue of exhausted CD8 T cells by PD-1-targeted therapies is CD28-dependent. Science (New York, NY). 2017;355:1423–7.CrossRef
34.
Zurück zum Zitat Hui E, Cheung J, Zhu J, Su X, Taylor MJ, Wallweber HA, et al. T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition. Science (New York, NY). 2017;355:1428–33.CrossRef Hui E, Cheung J, Zhu J, Su X, Taylor MJ, Wallweber HA, et al. T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition. Science (New York, NY). 2017;355:1428–33.CrossRef
35.
Zurück zum Zitat Wu Q, Allouch A, Martins I, Brenner C, Modjtahedi N, Deutsch E, et al. Modulating both tumor cell death and innate immunity is essential for improving radiation therapy effectiveness. Front Immunol. 2017;8:613.CrossRef Wu Q, Allouch A, Martins I, Brenner C, Modjtahedi N, Deutsch E, et al. Modulating both tumor cell death and innate immunity is essential for improving radiation therapy effectiveness. Front Immunol. 2017;8:613.CrossRef
36.
Zurück zum Zitat Simoni Y, Becht E, Fehlings M, Loh CY, Koo SL, Teng KWW, et al. Bystander CD8(+) T cells are abundant and phenotypically distinct in human tumour infiltrates. Nature. 2018;557:575–9.CrossRef Simoni Y, Becht E, Fehlings M, Loh CY, Koo SL, Teng KWW, et al. Bystander CD8(+) T cells are abundant and phenotypically distinct in human tumour infiltrates. Nature. 2018;557:575–9.CrossRef
37.
Zurück zum Zitat Weichselbaum RR, Liang H, Deng L, Fu YX. Radiotherapy and immunotherapy: a beneficial liaison? Nat Rev Clin Oncol. 2017;14:365–79.CrossRef Weichselbaum RR, Liang H, Deng L, Fu YX. Radiotherapy and immunotherapy: a beneficial liaison? Nat Rev Clin Oncol. 2017;14:365–79.CrossRef
38.
Zurück zum Zitat Herrera FG, Bourhis J, Coukos G. Radiotherapy combination opportunities leveraging immunity for the next oncology practice. Cancer J Clin. 2016;67:65–85.CrossRef Herrera FG, Bourhis J, Coukos G. Radiotherapy combination opportunities leveraging immunity for the next oncology practice. Cancer J Clin. 2016;67:65–85.CrossRef
39.
Zurück zum Zitat Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010;17:1471–4.CrossRef Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010;17:1471–4.CrossRef
40.
Zurück zum Zitat Fowler JF. 21 years of biologically effective dose. Br J Radiol. 2010;83:554–68.CrossRef Fowler JF. 21 years of biologically effective dose. Br J Radiol. 2010;83:554–68.CrossRef
41.
Zurück zum Zitat Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer (Oxford, England: 1990). 2009;45:228–47.CrossRef Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer (Oxford, England: 1990). 2009;45:228–47.CrossRef
42.
Zurück zum Zitat Im SJ, Hashimoto M, Gerner MY, Lee J, Kissick HT, Burger MC, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. 2016;537:417–21.CrossRef Im SJ, Hashimoto M, Gerner MY, Lee J, Kissick HT, Burger MC, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. 2016;537:417–21.CrossRef
43.
Zurück zum Zitat Arens R, Loewendorf A, Redeker A, Sierro S, Boon L, Klenerman P, et al. Differential B7-CD28 costimulatory requirements for stable and inflationary mouse cytomegalovirus-specific memory CD8 T cell populations. J Immunol (Baltimore, Md: 1950). 2011;186:3874–81.CrossRef Arens R, Loewendorf A, Redeker A, Sierro S, Boon L, Klenerman P, et al. Differential B7-CD28 costimulatory requirements for stable and inflationary mouse cytomegalovirus-specific memory CD8 T cell populations. J Immunol (Baltimore, Md: 1950). 2011;186:3874–81.CrossRef
44.
Zurück zum Zitat Filaci G, Fenoglio D, Fravega M, Ansaldo G, Borgonovo G, Traverso P, et al. CD8+CD28− T regulatory lymphocytes inhibiting T cell proliferative and cytotoxic functions infiltrate human cancers. J Immunol (Baltimore, Md: 1950). 2007;179:4323–34.CrossRef Filaci G, Fenoglio D, Fravega M, Ansaldo G, Borgonovo G, Traverso P, et al. CD8+CD28− T regulatory lymphocytes inhibiting T cell proliferative and cytotoxic functions infiltrate human cancers. J Immunol (Baltimore, Md: 1950). 2007;179:4323–34.CrossRef
45.
Zurück zum Zitat Song G, Wang X, Jia J, Yuan Y, Wan F, Zhou X, et al. Elevated level of peripheral CD8(+)CD28(−) T lymphocytes are an independent predictor of progression-free survival in patients with metastatic breast cancer during the course of chemotherapy. Cancer Immunol. 2013;62:1123–30.CrossRef Song G, Wang X, Jia J, Yuan Y, Wan F, Zhou X, et al. Elevated level of peripheral CD8(+)CD28(−) T lymphocytes are an independent predictor of progression-free survival in patients with metastatic breast cancer during the course of chemotherapy. Cancer Immunol. 2013;62:1123–30.CrossRef
46.
Zurück zum Zitat Martinez-Escribano JA, Hernandez-Caselles T, Campillo JA, Campos M, Frias JF, Garcia-Alonso A, et al. Changes in the number of CD80(+), CD86(+), and CD28(+) peripheral blood lymphocytes have prognostic value in melanoma patients. Hum Immunol. 2003;64:796–801.CrossRef Martinez-Escribano JA, Hernandez-Caselles T, Campillo JA, Campos M, Frias JF, Garcia-Alonso A, et al. Changes in the number of CD80(+), CD86(+), and CD28(+) peripheral blood lymphocytes have prognostic value in melanoma patients. Hum Immunol. 2003;64:796–801.CrossRef
47.
Zurück zum Zitat Knutson KL, Maurer MJ, Preston CC, Moysich KB, Goergen K, Hawthorne KM, et al. Regulatory T cells, inherited variation, and clinical outcome in epithelial ovarian cancer. Cancer Immunol. 2015;64:1495–504.CrossRef Knutson KL, Maurer MJ, Preston CC, Moysich KB, Goergen K, Hawthorne KM, et al. Regulatory T cells, inherited variation, and clinical outcome in epithelial ovarian cancer. Cancer Immunol. 2015;64:1495–504.CrossRef
48.
Zurück zum Zitat Kinoshita T, Muramatsu R, Fujita T, Nagumo H, Sakurai T, Noji S, et al. Prognostic value of tumor-infiltrating lymphocytes differs depending on histological type and smoking habit in completely resected non-small cell lung cancer. Ann Oncol. 2016;27:2117–23.CrossRef Kinoshita T, Muramatsu R, Fujita T, Nagumo H, Sakurai T, Noji S, et al. Prognostic value of tumor-infiltrating lymphocytes differs depending on histological type and smoking habit in completely resected non-small cell lung cancer. Ann Oncol. 2016;27:2117–23.CrossRef
49.
Zurück zum Zitat Nakayamada S, Takahashi H, Kanno Y, O’Shea JJ. Helper T cell diversity and plasticity. Curr Opin Immunol. 2012;24:297–302.CrossRef Nakayamada S, Takahashi H, Kanno Y, O’Shea JJ. Helper T cell diversity and plasticity. Curr Opin Immunol. 2012;24:297–302.CrossRef
50.
Zurück zum Zitat Zheng Y, Shi A, Wang W, Yu H, Yu R, Li D, et al. Posttreatment immune parameters predict cancer control and pneumonitis in stage I non-small-cell lung cancer patients treated with stereotactic ablative radiotherapy. Clin Lung Cancer. 2018;19:e399.CrossRef Zheng Y, Shi A, Wang W, Yu H, Yu R, Li D, et al. Posttreatment immune parameters predict cancer control and pneumonitis in stage I non-small-cell lung cancer patients treated with stereotactic ablative radiotherapy. Clin Lung Cancer. 2018;19:e399.CrossRef
51.
Zurück zum Zitat Brown JR, Wimberly H, Lannin DR, Nixon C, Rimm DL, Bossuyt V. Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer. Clin Cancer Res. 2014;20:5995–6005.CrossRef Brown JR, Wimberly H, Lannin DR, Nixon C, Rimm DL, Bossuyt V. Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer. Clin Cancer Res. 2014;20:5995–6005.CrossRef
52.
Zurück zum Zitat Yasuda K, Nirei T, Sunami E, Nagawa H, Kitayama J. Density of CD4(+) and CD8(+) T lymphocytes in biopsy samples can be a predictor of pathological response to chemoradiotherapy (CRT) for rectal cancer. Rad Oncol (London, England). 2011;6:49.CrossRef Yasuda K, Nirei T, Sunami E, Nagawa H, Kitayama J. Density of CD4(+) and CD8(+) T lymphocytes in biopsy samples can be a predictor of pathological response to chemoradiotherapy (CRT) for rectal cancer. Rad Oncol (London, England). 2011;6:49.CrossRef
53.
Zurück zum Zitat Maj T, Wang W, Crespo J, Zhang H, Wang W, Wei S, et al. Oxidative stress controls regulatory T cell apoptosis and suppressor activity and PD-L1-blockade resistance in tumor. Nat Immunol. 2017;18:1332–41.CrossRef Maj T, Wang W, Crespo J, Zhang H, Wang W, Wei S, et al. Oxidative stress controls regulatory T cell apoptosis and suppressor activity and PD-L1-blockade resistance in tumor. Nat Immunol. 2017;18:1332–41.CrossRef
54.
Zurück zum Zitat Lavin Y, Kobayashi S, Leader A, Amir ED, Elefant N, Bigenwald C, et al. Innate immune landscape in early lung adenocarcinoma by paired single-cell analyses. Cell. 2017;169(750–65):e17. Lavin Y, Kobayashi S, Leader A, Amir ED, Elefant N, Bigenwald C, et al. Innate immune landscape in early lung adenocarcinoma by paired single-cell analyses. Cell. 2017;169(750–65):e17.
55.
Zurück zum Zitat Kotsakis A, Koinis F, Katsarou A, Gioulbasani M, Aggouraki D, Kentepozidis N, et al. Prognostic value of circulating regulatory T cell subsets in untreated non-small cell lung cancer patients. Sci Rep. 2016;6:39247.CrossRef Kotsakis A, Koinis F, Katsarou A, Gioulbasani M, Aggouraki D, Kentepozidis N, et al. Prognostic value of circulating regulatory T cell subsets in untreated non-small cell lung cancer patients. Sci Rep. 2016;6:39247.CrossRef
56.
Zurück zum Zitat Tao H, Mimura Y, Aoe K, Kobayashi S, Yamamoto H, Matsuda E, et al. Prognostic potential of FOXP3 expression in non-small cell lung cancer cells combined with tumor-infiltrating regulatory T cells. Lung Cancer (Amsterdam, Netherlands). 2012;75:95–101.CrossRef Tao H, Mimura Y, Aoe K, Kobayashi S, Yamamoto H, Matsuda E, et al. Prognostic potential of FOXP3 expression in non-small cell lung cancer cells combined with tumor-infiltrating regulatory T cells. Lung Cancer (Amsterdam, Netherlands). 2012;75:95–101.CrossRef
57.
Zurück zum Zitat Barua S, Fang P, Sharma A, Fujimoto J, Wistuba I, Rao AUK, et al. Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer. Lung Cancer (Amsterdam, Netherlands). 2018;117:73–9.CrossRef Barua S, Fang P, Sharma A, Fujimoto J, Wistuba I, Rao AUK, et al. Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer. Lung Cancer (Amsterdam, Netherlands). 2018;117:73–9.CrossRef
58.
Zurück zum Zitat Tao H, Shien K, Soh J, Matsuda E, Toyooka S, Okabe K, et al. Density of tumor-infiltrating FOXP3+ T cells as a response marker for induction chemoradiotherapy and a potential prognostic factor in patients treated with trimodality therapy for locally advanced non-small cell lung cancer. Ann Thor Cardiovasc Surg. 2014;20:980–6.CrossRef Tao H, Shien K, Soh J, Matsuda E, Toyooka S, Okabe K, et al. Density of tumor-infiltrating FOXP3+ T cells as a response marker for induction chemoradiotherapy and a potential prognostic factor in patients treated with trimodality therapy for locally advanced non-small cell lung cancer. Ann Thor Cardiovasc Surg. 2014;20:980–6.CrossRef
59.
Zurück zum Zitat Loo CE, Rigter LS, Pengel KE, Wesseling J, Rodenhuis S, Peeters MJ, et al. Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer. Breast Cancer Res. 2016;18:82.CrossRef Loo CE, Rigter LS, Pengel KE, Wesseling J, Rodenhuis S, Peeters MJ, et al. Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer. Breast Cancer Res. 2016;18:82.CrossRef
60.
Zurück zum Zitat Blum Murphy M, Xiao L, Patel VR, Maru DM, Correa AM, et al. Pathological complete response in patients with esophageal cancer after the trimodality approach: the association with baseline variables and survival-The University of Texas MD Anderson Cancer Center experience. Cancer. 2017;123:4106–13.CrossRef Blum Murphy M, Xiao L, Patel VR, Maru DM, Correa AM, et al. Pathological complete response in patients with esophageal cancer after the trimodality approach: the association with baseline variables and survival-The University of Texas MD Anderson Cancer Center experience. Cancer. 2017;123:4106–13.CrossRef
61.
Zurück zum Zitat Tiesi G, Park W, Gunder M, Rubio G, Berger M, Ardalan B, et al. Long-term survival based on pathologic response to neoadjuvant therapy in esophageal cancer. J Surg Res. 2017;216:65–72.CrossRef Tiesi G, Park W, Gunder M, Rubio G, Berger M, Ardalan B, et al. Long-term survival based on pathologic response to neoadjuvant therapy in esophageal cancer. J Surg Res. 2017;216:65–72.CrossRef
62.
Zurück zum Zitat Samson P, Robinson C, Bradley J, Lockhart AC, Puri V, Broderick S, et al. Neoadjuvant chemotherapy versus chemoradiation prior to esophagectomy: impact on rate of complete pathologic response and survival in esophageal cancer patients. J Thor Oncol. 2016;11:2227–37.CrossRef Samson P, Robinson C, Bradley J, Lockhart AC, Puri V, Broderick S, et al. Neoadjuvant chemotherapy versus chemoradiation prior to esophagectomy: impact on rate of complete pathologic response and survival in esophageal cancer patients. J Thor Oncol. 2016;11:2227–37.CrossRef
63.
Zurück zum Zitat Chin AL, Kumar KA, Guo HH, Maxim PG, Wakelee H, Neal JW, et al. Prognostic value of pretreatment FDG-PET parameters in high-dose image-guided radiotherapy for oligometastatic non-small-cell lung cancer. Clin Lung Cancer. 2018;19:e581–8.CrossRef Chin AL, Kumar KA, Guo HH, Maxim PG, Wakelee H, Neal JW, et al. Prognostic value of pretreatment FDG-PET parameters in high-dose image-guided radiotherapy for oligometastatic non-small-cell lung cancer. Clin Lung Cancer. 2018;19:e581–8.CrossRef
Metadaten
Titel
Increased CD8+CD28+ T cells independently predict better early response to stereotactic ablative radiotherapy in patients with lung metastases from non-small cell lung cancer
verfasst von
Chao Liu
Qinyong Hu
Kai Hu
Huichao Su
Fang Shi
Li Kong
Hui Zhu
Jinming Yu
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Journal of Translational Medicine / Ausgabe 1/2019
Elektronische ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-019-1872-9

Weitere Artikel der Ausgabe 1/2019

Journal of Translational Medicine 1/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Echinokokkose medikamentös behandeln oder operieren?

06.05.2024 DCK 2024 Kongressbericht

Die Therapie von Echinokokkosen sollte immer in spezialisierten Zentren erfolgen. Eine symptomlose Echinokokkose kann – egal ob von Hunde- oder Fuchsbandwurm ausgelöst – konservativ erfolgen. Wenn eine Op. nötig ist, kann es sinnvoll sein, vorher Zysten zu leeren und zu desinfizieren. 

Umsetzung der POMGAT-Leitlinie läuft

03.05.2024 DCK 2024 Kongressbericht

Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.

Proximale Humerusfraktur: Auch 100-Jährige operieren?

01.05.2024 DCK 2024 Kongressbericht

Mit dem demographischen Wandel versorgt auch die Chirurgie immer mehr betagte Menschen. Von Entwicklungen wie Fast-Track können auch ältere Menschen profitieren und bei proximaler Humerusfraktur können selbst manche 100-Jährige noch sicher operiert werden.

Die „Zehn Gebote“ des Endokarditis-Managements

30.04.2024 Endokarditis Leitlinie kompakt

Worauf kommt es beim Management von Personen mit infektiöser Endokarditis an? Eine Kardiologin und ein Kardiologe fassen die zehn wichtigsten Punkte der neuen ESC-Leitlinie zusammen.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.