吉西他滨
肿瘤微环境
胰腺癌
免疫系统
癌症研究
封锁
免疫检查点
PI3K/AKT/mTOR通路
重编程
抗体
生物
医学
癌症
免疫疗法
免疫学
受体
内科学
信号转导
细胞
细胞生物学
遗传学
作者
Jiangdong Qiu,Mengyu Feng,Gang Yang,Zhe Cao,Yueze Liu,Lei You,Taiping Zhang
出处
期刊:Cancer Letters
[Elsevier]
日期:2022-11-25
卷期号:554: 216020-216020
被引量:13
标识
DOI:10.1016/j.canlet.2022.216020
摘要
Resistance to immunotherapy and chemotherapy hinders the prognosis of pancreatic cancer(PC). We hypothesized that the combination of mTOR inhibitor sirolimus and gemcitabine would change the metabolic landscape of PC and enhance the anti-PD-L1 therapy. In KPC mice, the following regimens were administered and tumor growth inhibition rates(TGI%) were calculated: sirolimus(S), PD-L1 antibody(P), gemcitabine(G), sirolimus + PD-L1 antibody(SP), sirolimus + gemcitabine(SG), PD-L1 + gemcitabine(PG) and sirolimus + PD-L1 antibody + gemcitabine(SPG). The metabolic changes of tumors were identified by LC-MS and subpopulations of immune cells were measured by flow cytometry. Sirolimus treated macrophages were co-cultured with PC cells in vitro, and the metabolic changes of macrophages and tumor cells as well as tumor cells' viability were detected. The monotherapy of S, P and G didn't inhibit tumor growth significantly. The combination of SP, PG and SG didn't improve the TGI% significantly compared with monotherapy. However, the TGI% of SPG combination was higher than other groups. The proportion of CD68+ macrophages increased in the peripheral blood and CD8+ T cells decreased in the tumor tissues after SPG treatment. LC-MS identified 42 differential metabolites caused by sirolimus in SPG group, among which 10 metabolites had potential effects on macrophages. Sirolimus treated M1 and M2 macrophages inhibited the proliferation of tumor cells and decreased tumor cells' glycolysis. The glycolysis of M2 macrophages was increased by sirolimus. mTOR inhibitor can change the immune microenvironment of PC via metabolic reprogramming, thus promoting the efficacy of PD-L1 blockade when combined with gemcitabine.
科研通智能强力驱动
Strongly Powered by AbleSci AI