重编程工程化自体 T 细胞以克服 Merkel 细胞癌患者的耐药性
Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Identification of immunopeptides (pHLA) as candidate therapeutic targets in chondrosarcoma.
Identification of immunopeptides (pHLA) as candidate therapeutic targets in chondrosarcoma.
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本研究提供了 CHS 中 pHLA 的首个图谱,并为 TCR-T 细胞疗法和抗体药物偶联物等靶向治疗提出了特异性抗原靶点。
软骨肉瘤(CHS)是第二常见的原发性恶性骨肿瘤,对常规疗法仍具有耐药性,这凸显了发现新型治疗靶点的必要性。癌症/睾丸抗原(CTA)是一类肿瘤相关蛋白,是过继性T细胞疗法等癌症免疫治疗中极具吸引力的抗原。然而,在CHS中,CTA的表达谱及其在人类白细胞抗原-I类分子背景下呈递的相关可靶向免疫肽(pHLA)仍属未知。本研究旨在根据肿瘤免疫表型和临床结局刻画CTA表达谱,并鉴定CHS中最具靶向相关性的pHLA。
我们分析了63例常规CHS患者肿瘤中的CTA表达谱,并使用GTEx和HPA数据库分析健康组织,以识别CHS相关CTA。采用Cox比例风险模型结合层次聚类,将CTA表达与患者总生存期相关联。基于免疫基因表达特征,使用去卷积方法和Pearson相关系数矩阵评估肿瘤免疫表型。在2级和3级CHS模型中,基于HLA-I免疫沉淀和质谱的免疫肽组学分析,对CTA衍生的pHLA进行了表征。使用NetMHC预测所识别pHLA与HLA-A*02:01和HLA-A*01:01等位基因的结合亲和力。
我们鉴定出一个与不良预后相关的CTA特征,主要与非炎症性肿瘤免疫表型相关。免疫肽组学分析揭示了广泛的pHLA repertoire,包括来自PRAME、CTAG2和MAGE-A家族的既往已充分表征的CTA,以及新鉴定的候选物,这些候选物来自HHIPL2、DBF4、BRIP1、CBX2和DIAPH3等CTA,具有强预测HLA结合亲和力。
Chondrosarcoma (CHS) is the second most common primary malignant bone tumor and remains resistant to conventional therapies, underscoring the need to discover novel therapeutic targets. Cancer/testis antigens (CTAs), a class of tumor-associated proteins, represent attractive antigens for cancer immunotherapies such as adoptive T cell therapy. However, the expression profile of CTAs and their associated targetable immunopeptides presented in the Human Leukocyte Antigen-I context (pHLA) remain unknown in CHS. This study aims to characterize the CTA expression profile according to the tumor immune phenotype and clinical outcomes, and to identify the most relevant pHLA to target in CHS. METHOD: We analyzed the CTA expression profile in tumors from 63 conventional CHS patients and in healthy tissues using GTEx and HPA databases to identify CHS-associated CTAs. Cox proportional hazards models combined with hierarchical clustering were used to correlate CTA expression with the overall survival of patients. The tumor immune phenotype was estimated based on immune gene expression signatures using a deconvolution method and a Pearson correlation coefficient matrix. The CTA-derived pHLA were characterized using immunopeptidomic profiling based on HLA-I immunoprecipitation and mass spectrometry in grade 2 and 3 CHS models. NetMHC was used to predict the binding affinity of identified pHLA to the HLA-A*02:01 and HLA-A*01:01 alleles.
We identified a poor prognosis CTA signature predominantly associated with a non-inflamed tumor immunophenotype. Immunopeptidomic profiling revealed broad pHLA repertoires, including previously well-characterized CTAs from PRAME, CTAG2 and the MAGE-A family, as well as newly identified candidates with strong predicted HLA-binding affinity from CTAs such as HHIPL2, DBF4, BRIP1, CBX2 and DIAPH3.
This study provides the first atlas of pHLA in CHS and suggests specific antigenic targets for TCR-T cell therapies and targeted therapies such as antibody-drug conjugates.
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