为肝细胞癌武装 GPC3 CAR-T 细胞:多少才足够,下一步是什么?
Armouring GPC3 CAR T cells for hepatocellular carcinoma: how much is enough and what comes next?
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Estrogen-related genes influence immune cell infiltration and immunotherapy response in Hepatocellular Carcinoma.
Estrogen-related genes influence immune cell infiltration and immunotherapy response in Hepatocellular Carcinoma.
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雌激素相关基因在肝细胞癌组织中过表达。
免疫疗法已成为晚期肝细胞癌(HCC)的一线治疗选择,但目前尚无公认的分子标志物能够预测免疫治疗应答。雌激素在多种肝脏疾病的发生发展中发挥重要作用,包括肝纤维化、非酒精性脂肪性肝病(NAFLD)和HCC。然而,雌激素相关基因在HCC免疫治疗中的意义及其分子机制尚未充分阐明。
本研究分析365例HCC患者的整体RNA测序数据,构建新型雌激素相关基因预后特征(ERGPS)。根据风险评分中位数,将患者分为低风险组和高风险组。采用肿瘤突变负荷(TMB)、微卫星不稳定性(MSI)、T细胞受体(TCR)多样性、B细胞受体(BCR)多样性、单核苷酸变异(SNV)新抗原、癌睾抗原(CTA)评分和肿瘤免疫功能障碍与排斥(TIDE)评分评估免疫治疗应答程度。多个外部数据集用于验证预后特征的有效性和稳健性,并通过实时定量聚合酶链反应(qRT-PCR)验证HCC组织中雌激素相关基因的过表达。
ERGPS是影响HCC患者预后的独立危险因素,在预测患者生存和免疫治疗应答方面优于其他临床变量。多个独立外部数据集证实了该预后特征较强的预测效能。该特征与TMB评分、MSI评分、TCR多样性、BCR多样性、SNV新抗原评分、CTA评分、免疫检查点相关基因表达水平及TIDE评分均呈正相关。依据该特征识别的高风险HCC患者可能更能从免疫治疗中获益,也更适合接受免疫治疗。qRT-PCR证实,构成该特征的雌激素相关基因在HCC肿瘤组织中高表达。
雌激素相关基因在HCC组织中过表达。我们构建的新型预后特征不仅能准确预测HCC患者预后,也能预测其免疫治疗应答。未来,预后特征可作为临床医生筛选适合免疫治疗HCC患者的实用工具。
Immunotherapy has been the first-line treatment option in advanced Hepatocellular Carcinoma(HCC); but now, there are no established molecular markers that can predict immunotherapy response. Estrogen has a crucial role in the development of a variety of liver illnesses, including liver fibrosis, Nonalcoholic fatty liver disease (NAFLD), and HCC. Nonetheless, the significance of estrogen-related genes in HCC immunotherapy and the underlying molecular mechanisms are not yet fully understood. METHOD: In this study, we constructed a novel estrogen-related gene prognostic signature (ERGPS) by analyzing bulk RNA sequencing data from 365 HCC patients. Based on the median risk score, we divided 365 HCC patients into low- and high-risk groups. Tumor mutation burden (TMB), Microsatellite instability (MSI), T cell receptor (TCR) richness, B cell receptor (BCR) richness, single-nucleotide variants (SNV) Neoantigens, Cancer Testicular Antigens (CTA) scores, and Tumour Immune Dysfunction and Exclusion (TIDE) scores were used to evaluate the magnitude of immunotherapy response. Multiple external datasets validate the validity and robustness of the prognostic signature. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to validate estrogen-related gene overexpression in HCC tissue samples.
ERGPS is an independent risk factor affecting the prognosis of HCC patients and is superior to other clinical variables in predicting patient survival and immunotherapy response. Multiple independent external datasets confirmed the superior predictive efficacy of the prognostic signature. The prognostic signature was positively correlated with TMB score, MSI score, TCR richness, BCR richness, SNV Neoantigens score, CTA score, expression levels of immune checkpoint-related genes, and TIDE score. Patients with HCC in the high-risk group identified by the prognostic signature were likely to be more responsive to immunotherapy and more suitable for immunotherapy. qRT-PCR confirmed that estrogen-related genes of the construct signature were highly expressed in HCC tumor tissues.
Estrogen-related genes are overexpressed in HCC tissues. Our novel prognostic signature can accurately predict not only the prognosis but also the immunotherapy response of HCC patients. In the future, prognostic signatures will be a useful tool for clinicians to screen patients with HCC who are suitable for immunotherapy.
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