PO.CL05.07 · 临床研究
靶向SOAT1增强NK细胞介导的高级别浆液性卵巢癌细胞毒作用
Targeting SOAT1 to Boost NK Cell Mediated Cytotoxicity in High Grade Serous Ovarian Cancer
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
原理:尽管手术和化疗取得了进展,高级别浆液性卵巢癌(HGSOC)的长期生存率仍然很差,且大多数晚期患者会出现复发。肿瘤细胞利用胆固醇代谢,而将游离胆固醇转化为胆固醇酯的酶——固醇O-酰基转移酶1(SOAT1/ACAT1)——已成为肿瘤进展和免疫逃逸的潜在驱动因素。NK细胞脱颗粒通常通过CD107a表面表达进行监测,可反映NK细胞的细胞毒性。我们试图鉴定其缺失可增强NK细胞介导的HGSOC细胞杀伤作用的基因。
方法:我们在OVCAR8 HGSOC细胞中开展了全基因组CRISPR/Cas9筛选,并以一定效应细胞:靶细胞比率用同种异体原代NK细胞进行攻击。在共培养前后通过下一代测序测定向导RNA的相对丰度,以鉴定其破坏可降低肿瘤细胞存活的基因。候选负向基因通过以下过滤条件进行优先排序:(1)卵巢癌DepMap CERES评分 > -0.3,以排除高度适应性必需基因;(2)剔除经过整理的核心必需基因;(3)至少三条有效sgRNA表现出一致的缺失;(4)在公共转录组队列中卵巢癌相比正常卵巢的表达更高。SOAT1从该流程中脱颖而出并被进一步研究。将OVCAR8细胞转染SOAT1 siRNA,然后与NK92细胞共培养。用代谢/活力测定法定量肿瘤细胞活力,同时通过CD107a染色和流式细胞术评估NK92活化情况。为评估临床相关性,我们查询了独立的卵巢癌数据集(GSE118828、GSE26712),分析SOAT1表达、NK相关转录特征与总生存之间的关系。
结果:CRISPR筛选确定SOAT1为NK细胞介导的肿瘤清除的重要代谢调节因子。SOAT1沉默使OVCAR8中的mRNA被敲低,并在NK92攻击下显著降低了肿瘤细胞的存活率,中位活力降至对照条件的50-60%。与SOAT1缺陷型OVCAR8共培养的NK92细胞表现出CD107a表面表达增加,表明脱颗粒和效应活性增强。在各公共数据集中,SOAT1在卵巢肿瘤中的表达高于正常和癌旁组织,并与NK浸润和细胞毒功能的转录评分呈正相关。值得注意的是,在NK浸润高的病例中,SOAT1表达较高的患者总生存更差。
结论:通过将全基因组CRISPR筛选与功能和生物信息学分析相结合,我们鉴定SOAT1为一种胆固醇代谢调节因子,其在卵巢癌中削弱NK细胞的细胞毒性。这些发现提示,抑制SOAT1可作为对HGSOC进行代谢重编程并提高NK导向免疫疗法疗效的一种方法。
查看英文原文 English abstract
Rationale: Despite advances in surgery and chemotherapy, high-grade serous ovarian cancer (HGSOC) still carries poor long-term survival, and most patients with advanced disease suffer relapse. Tumor cells exploit cholesterol metabolism, and the enzyme sterol O-acyltransferase 1 (SOAT1/ACAT1), which converts free cholesterol to cholesteryl esters, has emerged as a potential driver of tumor progression and immune evasion. NK cell degranulation, widely monitored via CD107a surface expression, provides a readout of NK cytotoxicity. We sought to identify genes whose loss enhances NK-mediated killing of HGSOC cells.
Methods: We implemented a whole-genome CRISPR/Cas9 screen in OVCAR8 HGSOC cells challenged with allogeneic primary NK cells at an effector:target ratio. Relative guide RNA abundance was measured by next-generation sequencing before and after co-culture to identify genes whose disruption decreased tumor cell survival. Candidate negative genes were prioritized using filters: (1) ovarian cancer DepMap CERES score > -0.3 to avoid highly fitness-essential genes; (2) removal of curated core-essential genes; (3) at least three effective sgRNAs exhibiting consistent depletion; and (4) higher expression in ovarian cancer compared with normal ovary in public transcriptomic cohorts. SOAT1 emerged from this pipeline and was taken forward. OVCAR8 cells were transfected with SOAT1 siRNA and then co-cultured with NK92 cells. Tumor viability was quantified using metabolic/viability assay, while NK92 activation was evaluated by CD107a staining and flow cytometry. To assess clinical relevance, we interrogated independent ovarian cancer datasets (GSE118828, GSE26712) for relationships between SOAT1 expression, NK-related transcriptional signatures, and overall survival.
Results: The CRISPR screen pinpointed SOAT1 as a top metabolic modifier of NK-mediated tumor clearance. SOAT1 silencing produced mRNA knockdown in OVCAR8 and significantly reduced tumor cell survival under NK92 attack, with median viability falling to 50-60% of control conditions. NK92 cells co-cultured with SOAT1-deficient OVCAR8 exhibited increased CD107a surface expression, indicating augmented degranulation and effector activity. Across public datasets, SOAT1 expression was elevated in ovarian tumors versus normal and adjacent tissues and aligned positively with transcriptional scores of NK infiltration and cytotoxic function. Notably, in cases with high NK infiltration, patients with higher SOAT1 expression experienced worse overall survival.
Conclusions: By integrating genome-wide CRISPR screening with functional and bioinformatic analyses, we identify SOAT1 as a cholesterol-metabolic regulator that attenuates NK cell cytotoxicity in ovarian cancer. These findings nominate SOAT1 inhibition as an approach to metabolically reprogram HGSOC and improve the efficacy of NK-directed immunotherapies.
利益披露 Disclosure
L. Chen, None..
M. K. Siu, None..
R. Zhang, None..
L. Hung, None..
M. Gu, None..
D. Ngan, None..
X. He, None..
H. Lu, None..
H. Y. Ngan, None..
K. Liu, None..
A. N. Cheung, None..
K. K. Chan, None.