Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help ...Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy.Methods:Gens related to CD8+T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues.Weighted gene co-expression network analysis(WGCNA),consensus clustering,differential expression analysis,least absolute shrinkage and selection operator(LASSO)and Cox regression analysis were conducted to classify molecular subtypes for LUAD and to develop a risk model using prognostic genes related to CD8+T cells.Expression of the genes in the prognostic model,their effects on tumor cell invasion,and interactions with CD8+T cells were verified by cell experiments.Results:This study defined two LUAD clusters(CD8+0 and CD8+1)based on CD8+T cells,with cluster CD8+0 being significantly associated with the prognosis of LUAD.Three heterogeneous subtypes(clusters 1,2,and 3)differing in prognosis,genome mutation events,and immune status were categorized using 42 prognostic genes.A prognostic model created based on 11 significant genes(including CD200R1,CLEC17A,ZC3H12D,GNG7,SNX30,CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2,and KRT81)was able to independently estimate the death risk for patients in different LUAD cohorts.Moreover,the model also showed general applicability in external validation cohorts.Low-risk patients could benefit more from taking immunotherapy and were significantly related to the resistance to anticancer drugs.The results from cell experiments demonstrated that the expression of CD200R1,CLEC17A,ZC3H12D,GNG7,and SNX30 was significantly downregulated,while that of CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2 and KRT81 was upregulated in LUAD cells.Inhibition of CD200R1 greatly increased the invasiveness of the LUAD cells,but inhibiting CDCP1 expression weakened the invasion ability of LUAD cells.Conclusion:This study defined two prognostic CD8+T cell clusters and classified three heterogeneous molecular subtypes for LUAD.A prognostic model predictive of the potential effects of immunotherapy on LUAD patients was developed.展开更多
目的以雌性和雄性非肥胖糖尿病(nonobese diabetic,NOD)小鼠以及健康对照癌症研究所(institute for cancer research,ICR)小鼠为研究对象,比较分析初始、效应、记忆、耗竭以及调节性CD8^(+)T细胞分化亚群差异,探讨1型糖尿病(type 1 diab...目的以雌性和雄性非肥胖糖尿病(nonobese diabetic,NOD)小鼠以及健康对照癌症研究所(institute for cancer research,ICR)小鼠为研究对象,比较分析初始、效应、记忆、耗竭以及调节性CD8^(+)T细胞分化亚群差异,探讨1型糖尿病(type 1 diabetes,T1D)背景下的性别因素对CD8^(+)T细胞分化命运的影响。方法采用流式细胞术检测雌雄NOD小鼠脾脏、胰腺引流淋巴结(pancreatic draining lymph nodes,pLN)、胰腺浸润淋巴细胞(pancreas-infiltrating lymphocytes,PIL)、初始T细胞(naive T cells,T_(N))、中枢记忆T细胞(central memory T cells,T_(CM))、效应T细胞(effector T cells,T_(EFF))、效应前体样T细胞(effector precursor T cells,T_(EP))、耗竭T细胞(exhausted T cells,T_(EX))、耗竭前体T细胞(precursor exhausted T cells,T_(PEX))以及调节性T细胞(regulatory T cells,Tregs)等CD8^(+)T细胞分化亚群的频率和表型差异。结果与雄性NOD小鼠比较,雌性NOD小鼠pLN及PIL中IFN-γ^(+)、CD107a^(+)和CCL5^(+)CD8^(+)T_(EFF)频率显著升高(P<0.01,P<0.05,P<0.05),同时脾脏中CD8^(+)T_(N)、CD8^(+)T_(CM)、CD8^(+)T_(EX)、CD8^(+)T_(PEX)和CD122^(+)CD8^(+)Tregs亚群的频率均显著降低(P<0.01,P<0.01,P<0.01,P<0.01,P<0.001);而雌性和雄性ICR小鼠体内除CD122^(+)CD8^(+)Tregs差异变化与NOD小鼠一致(P<0.05),其余上述各CD8^(+)T细胞分化亚群无显著差异。结论雄激素可能通过抑制记忆T细胞向效应T细胞分化,同时促进效应T细胞功能耗竭,导致雌雄发病率差异。展开更多
文摘Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy.Methods:Gens related to CD8+T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues.Weighted gene co-expression network analysis(WGCNA),consensus clustering,differential expression analysis,least absolute shrinkage and selection operator(LASSO)and Cox regression analysis were conducted to classify molecular subtypes for LUAD and to develop a risk model using prognostic genes related to CD8+T cells.Expression of the genes in the prognostic model,their effects on tumor cell invasion,and interactions with CD8+T cells were verified by cell experiments.Results:This study defined two LUAD clusters(CD8+0 and CD8+1)based on CD8+T cells,with cluster CD8+0 being significantly associated with the prognosis of LUAD.Three heterogeneous subtypes(clusters 1,2,and 3)differing in prognosis,genome mutation events,and immune status were categorized using 42 prognostic genes.A prognostic model created based on 11 significant genes(including CD200R1,CLEC17A,ZC3H12D,GNG7,SNX30,CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2,and KRT81)was able to independently estimate the death risk for patients in different LUAD cohorts.Moreover,the model also showed general applicability in external validation cohorts.Low-risk patients could benefit more from taking immunotherapy and were significantly related to the resistance to anticancer drugs.The results from cell experiments demonstrated that the expression of CD200R1,CLEC17A,ZC3H12D,GNG7,and SNX30 was significantly downregulated,while that of CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2 and KRT81 was upregulated in LUAD cells.Inhibition of CD200R1 greatly increased the invasiveness of the LUAD cells,but inhibiting CDCP1 expression weakened the invasion ability of LUAD cells.Conclusion:This study defined two prognostic CD8+T cell clusters and classified three heterogeneous molecular subtypes for LUAD.A prognostic model predictive of the potential effects of immunotherapy on LUAD patients was developed.
文摘目的研究长链非编码RNA(long non-coding RNA,LncRNA)LINC01137在非小细胞肺癌(nonsmall cell lung cancer,NSCLC)免疫逃逸中的生物学功能及其潜在的调节机制。方法采集24例健康志愿者和24例NSCLC患者血液样本,并收集NSCLC肿瘤组织和癌旁组织检测LINC01137水平。利用Starbase数据库预测LINC01137与miR-22-3p的结合位点,荧光素酶报告基因分析进行验证。采用A549细胞来源的外泌体和/或sh-LINC01137干扰序列转染A549细胞,检测细胞增殖和侵袭能力;收集转染后的细胞上清液培养CD8^(+)T细胞,检测CD8^(+)T细胞耗竭标志物干扰素-γ(interfereron-γ,IFN-γ)、肿瘤坏死因子-α(tumor necrosis factor-α,TNF-α)、颗粒霉素B(granzyme B)和白细胞介素-2(interleukin-2,IL-2)水平,以及PD-1+Tim3^(+)CD8^(+)T细胞百分比。采用外泌体和/或miR-22-3p模拟物(miR-22-3p mimic)转染CD8^(+)T细胞,检测PD-1蛋白水平。结果与癌旁组织相比,NSCLC肿瘤组织中LINC01137表达(3.357±0.548 vs 1.011±0.371)明显升高;与健康志愿者相比,NSCLC患者外周血LINC01137表达(3.216±0.342 vs 1.007±0.313)亦明显升高,差异具有统计学意义(t=-17.367,-17.147,均P<0.001)。肿瘤组织LINC01137表达与外周血中LINC01137表达呈正相关(r=0.755,P<0.05)。在A549细胞来源的外泌体中LINC01137显著富集。与Exo+sh-NC组相比,Exo+sh-LINC01137组细胞活力(65.852%±4.715%vs 100.153%±11.934%)及细胞侵袭(21.464%±3.481%vs 43.126%±1.447%)能力显著降低,差异具有统计学意义(t=4.630,9.953,均P<0.01)。NSCLC患者外周血中LINC01137表达和CD8^(+)T细胞百分比呈负相关(r=-0.520,P<0.05)。与Exo+sh-NC组相比,Exo+sh-LINC01137组IFN-γ(3865.314±543.852 pg/ml vs 1786.971±105.982 pg/ml),TNF-α(4631.930±510.715pg/ml vs 1973.242±379.623pg/ml),Granzyme B(3876.496±312.438pg/ml vs 1879.439±287.584pg/ml)和IL-2 mRNA水平(3.286±0.437 vs 1.015±0.314)升高,PD-1+Tim3^(+)CD8^(+)T细胞百分比(7.680%±2.185%vs 18.952%±3.216%)降低,差异具有统计学意义(t=-6.497,-7.237,-8.146,-7.310,5.021,均P<0.01)。miR-22-3p是LINC01137的靶基因。与Exo+NC mimic组相比,Exo+miR-22-3p组PD-1蛋白水平(0.384±0.087 vs 1.003±0.147)显著降低,差异有统计学意义(t=6.277,P<0.01)。结论NSCLC患者肿瘤组织及外周血中LINC01137表达显著上调;NSCLC细胞来源的外泌体中LINC01137通过靶向CD8^(+)T细胞中miR-22-3p并抑制其表达,诱导CD8^(+)T细胞耗竭,促进NSCLC细胞免疫逃逸。
文摘目的以雌性和雄性非肥胖糖尿病(nonobese diabetic,NOD)小鼠以及健康对照癌症研究所(institute for cancer research,ICR)小鼠为研究对象,比较分析初始、效应、记忆、耗竭以及调节性CD8^(+)T细胞分化亚群差异,探讨1型糖尿病(type 1 diabetes,T1D)背景下的性别因素对CD8^(+)T细胞分化命运的影响。方法采用流式细胞术检测雌雄NOD小鼠脾脏、胰腺引流淋巴结(pancreatic draining lymph nodes,pLN)、胰腺浸润淋巴细胞(pancreas-infiltrating lymphocytes,PIL)、初始T细胞(naive T cells,T_(N))、中枢记忆T细胞(central memory T cells,T_(CM))、效应T细胞(effector T cells,T_(EFF))、效应前体样T细胞(effector precursor T cells,T_(EP))、耗竭T细胞(exhausted T cells,T_(EX))、耗竭前体T细胞(precursor exhausted T cells,T_(PEX))以及调节性T细胞(regulatory T cells,Tregs)等CD8^(+)T细胞分化亚群的频率和表型差异。结果与雄性NOD小鼠比较,雌性NOD小鼠pLN及PIL中IFN-γ^(+)、CD107a^(+)和CCL5^(+)CD8^(+)T_(EFF)频率显著升高(P<0.01,P<0.05,P<0.05),同时脾脏中CD8^(+)T_(N)、CD8^(+)T_(CM)、CD8^(+)T_(EX)、CD8^(+)T_(PEX)和CD122^(+)CD8^(+)Tregs亚群的频率均显著降低(P<0.01,P<0.01,P<0.01,P<0.01,P<0.001);而雌性和雄性ICR小鼠体内除CD122^(+)CD8^(+)Tregs差异变化与NOD小鼠一致(P<0.05),其余上述各CD8^(+)T细胞分化亚群无显著差异。结论雄激素可能通过抑制记忆T细胞向效应T细胞分化,同时促进效应T细胞功能耗竭,导致雌雄发病率差异。
