Changes of T Lymphocyte Subsets after CAR-T Cell Therapy and Its Clinical Significance

免疫系统 CD8型 T细胞 淋巴细胞 免疫学 T淋巴细胞 生物 医学
作者
Lijuan Ding,Jiazhen Cui,Yongxian Hu,Huijun Xu,Yanlei Zhang,Shaohui Liu,Kangyan Wang,Zhenxing Guo,AlexH Chang,He Huang
出处
期刊:Blood [Elsevier BV]
卷期号:132 (Supplement 1): 1423-1423 被引量:2
标识
DOI:10.1182/blood-2018-99-117885
摘要

Abstract Introduction: In tumor cell immunity, T cells play a central regulatory role. T cells are divided into several major subsets based on different cell surface molecules to maintain the body's immune balance. Detection of T lymphocyte expression levels can assist in the dynamic analysis of changes in cellular immune function during treatment. CAR-T cell therapy is one of the most promising immune therapies in recent years. The current research focuses on the immune function of CAR-T cells, while ignoring the changes in the body immune system itself. In fact, the body's immune function plays an important role in the anti-tumor immune response, and the changes in the body immune system are likely to be the main reason of long-term maintenance of remission after CAR-T cells exhausted. In our study, we detect the changes of T lymphocyte subsets after CAR-T cell infusion, to explore the effect of CAR-T cell therapy on body immune system and its possible mechanism. Methods: Peripheral blood of 10 patients after CAR-T cell therapy at different time points were collected. Flow cytometry was used to detect lymphocyte surface molecules including CD3, CAR, CD4, CD8, CD45RA and CCR7 in the scatter plot. T lymphocyte populations were isolated and the ratio of CAR+ and CAR- cells was labeled, and cell subpopulations were labeled in CAR+ and CAR-cells, respectively. Statistical analysis was performed using the R-Studio software package. When comparing the proportion of T cell subsets at different time points, repeated measures of variance analysis were used. Results: 10 patients with good clinical response and complete data were analyzed and summarized. The proportion of CD8+ cells in CAR+ cell population was (61.4±32.5) % at the initial of CRS, and went up to (74.1±24.5) % as CAR-T cells proliferated to a peak level. After that, CD8+ cells began to decline as CAR-T cells decreased (F= 0.647, P= 0.531). The changes of CD4+ cells went the opposite way (F= 2.678, P= 0.087). The same change patterns of CD8+ and CD4+ cells were shared in CAR- cell population. In CAR+, CAR+CD4+, CAR+CD8+ cell populations, CD45RA+CCR7- cells (effector T cells) have decreased before CAR-T cell peak level. We assumed that effector T cells began to decrease as tumor cells were completely cleared. CD45RA-CCR7-, CD45RA-CCR7+, CD45RA+CCR7+ cells (effector memory T cells, central memory T cells, naïve T cells) gradually increased as the body immune system began to recover. ALL the change patterns were shared in CAR- cells. Conclusion: The above results suggest that the expansion of CAR-T cells in vivo are mainly CD8+ cells, and are mainly effector T cells that directly exercising killing function. The CAR- cell population shared the same changes of cell subsets with the CAR+ cell population, suggesting that CAR-T cells have certain optimization effects on the body immune system. Disclosures No relevant conflicts of interest to declare.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
刚刚
hayden完成签到 ,获得积分10
1秒前
科研通AI5应助故意的烧鹅采纳,获得10
1秒前
Leexxxhaoo完成签到,获得积分10
2秒前
li完成签到 ,获得积分10
2秒前
3秒前
3秒前
3秒前
哈哈哈完成签到 ,获得积分10
3秒前
3秒前
3秒前
ROMANTIC完成签到 ,获得积分10
4秒前
4秒前
堪明轩发布了新的文献求助10
6秒前
今后应助en采纳,获得10
7秒前
7秒前
科研通AI5应助Ann采纳,获得10
8秒前
请叫我风吹麦浪应助liu采纳,获得10
9秒前
兰天发布了新的文献求助10
9秒前
超酷的柠檬完成签到,获得积分10
9秒前
陌陌完成签到 ,获得积分10
9秒前
量子星尘发布了新的文献求助10
10秒前
11秒前
yunjichen发布了新的文献求助10
11秒前
华仔应助lsy采纳,获得10
12秒前
ycliu发布了新的文献求助10
12秒前
wanci应助路一程山水相逢采纳,获得10
13秒前
miemie完成签到,获得积分10
13秒前
SciGPT应助Dr.L采纳,获得10
13秒前
CodeCraft应助六烃季铵采纳,获得10
17秒前
量子星尘发布了新的文献求助10
18秒前
miemie发布了新的文献求助10
18秒前
悲凉的溪流完成签到 ,获得积分20
19秒前
biubiubiu完成签到 ,获得积分10
19秒前
烟花应助负责的方盒采纳,获得10
20秒前
21秒前
BCS完成签到,获得积分10
22秒前
22秒前
lzn完成签到,获得积分10
23秒前
斯文败类应助myy采纳,获得10
23秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3667773
求助须知:如何正确求助?哪些是违规求助? 3226242
关于积分的说明 9768746
捐赠科研通 2936222
什么是DOI,文献DOI怎么找? 1608301
邀请新用户注册赠送积分活动 759615
科研通“疑难数据库(出版商)”最低求助积分说明 735407