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?
英文原题:Multi-omics analysis reveals the role of tumor-infiltrating CD4(+)CCR7(+) T cells in EGFR antibody resistance and prognosis of hepatocellular carcinoma.
Multi-omics analysis reveals the role of tumor-infiltrating CD4(+)CCR7(+) T cells in EGFR antibody resistance and prognosis of hepatocellular carcinoma.
我们的研究结果表明,HCC中中央记忆CD4+CCR7+ T细胞浸润升高与免疫抑制性肿瘤微环境相关,这可能导致了EGFR靶向抗体疗效受损以及更差的临床结局。
尽管EGFR通路在肝细胞癌(HCC)中具有关键作用,但EGFR抗体在HCC中的临床疗效仍不确定。现有证据提示免疫功能障碍和肿瘤微环境改变可能参与治疗耐药,但HCC中这一现象背后的确切标志物仍需进一步研究。
在本研究中,我们采用来自REHOPE301队列中14例HCC患者构建的患者来源异种移植(PDX)模型,评估其对nimotuzumab(一种人源化抗EGFR单克隆抗体)的敏感性。对肿瘤组织和TIL(肿瘤浸润淋巴细胞)(TILs)进行了全外显子测序(WES)和单细胞RNA测序(scRNA),以阐明TIL特征与EGFR抗体反应之间的关联。此外,使用免疫荧光(IF)染色和流式细胞术验证scRNA的发现。随后使用LASSO回归分析开发了预测风险评分和列线图。通过受试者工作特征(ROC)曲线和校准曲线分析,使用2个外部数据集(ICGC-JP和GSE141202)评估了该模型的预后性能。
尼妥珠单抗在PDX模型中显示出50%的缓解率(7/14)。免疫分析揭示了应答者与非应答者之间不同的TIL模式。值得注意的是,CD4+CCR7+ T细胞在耐药肿瘤中显著富集(p < 0.001),并与尼妥珠单抗应答呈负相关(r = -0.767 p = 0.02)。IF分析显示,与非应答组相比,非应答组中CD4+CCR7+双阳性T细胞比例更高(p = 0.012)。在非应答肿瘤中,CD4+CCR7+ T细胞表现出与巨噬细胞和CD8+PDCD1+ T细胞亚群的相互作用。CD4+CCR7+ T细胞比例与活性CD8 T细胞浸润呈负相关。CD4+CCR7+ T细胞浸润减少与多种癌症类型中预后改善及EGFR抗体疗效增强相关。此外,一个与CD4+CCR7+ T细胞相关的九基因特征被鉴定为HCC中的强预后因子(HR = 5.19,95% CI:3.18 8.46,P < 0.001),并用于构建列线图。WES确认了可能影响尼妥珠单抗应答的预后基因突变(VCAN、CAMK4和CD226)。
BACKGROUND: Despite the crucial involvement of the EGFR pathway in hepatocellular carcinoma (HCC), the clinical efficacy of EGFR antibodies in HCC remains uncertain. While existing evidence suggests that immune dysfunction and tumor microenvironment alterations may contribute to treatment resistance, the precise markers underlying this phenomenon in HCC warrant further investigation. METHODS: In this study, we employed patient-derived xenograft (PDX) models generated from 14 HCC patients enrolled in the REHOPE301 cohort to evaluate the sensitivity to nimotuzumab, a humanized anti-EGFR monoclonal antibody. Whole-exome sequencing (WES) and single-cell RNA sequencing (scRNA) were performed on tumor tissues and tumor-infiltrating lymphocytes (TILs) to elucidate the association between TIL characteristics and EGFR antibody response. In addition, immunofluorescence (IF) staining and flow cytometry were used to validate the findings from scRNA. A predictive risk score and nomogram were subsequently developed using LASSO regression analysis. The prognostic performance of this model was evaluated using 2 external datasets (ICGC-JP and GSE141202) through receiver operator characteristic (ROC) curves and calibration curves analyses. RESULTS: Nimotuzumab demonstrated a 50% response rate (7/14) in PDX models. Immune profiling revealed distinct TIL patterns between responders and non-responders. Notably, CD4+CCR7+ T cells were significantly enriched in resistant tumors (p < 0.001) and negatively correlated with the nimotuzumab response (r = -0.767 p = 0.02). IF analysis revealed a higher proportion of CD4+CCR7+ double-positive T cells in the non-responder group compared to responders (p = 0.012). In non-responsive tumors, CD4+CCR7+ T cells exhibited interactions with of macrophages and CD8+PDCD1+ T subsets. The proportion of CD4+CCR7+ T showed negative correlations with active CD8 T infiltrations. A reduced infiltration of CD4+CCR7+ T cells was associated with improved prognosis and enhanced EGFR antibody efficacy across multiple cancer types. Furthermore, a nine-gene signature related to CD4+CCR7+ T cells was identified as a strong prognostic factor in HCC (HR = 5.19, 95% CI: 3.18 8.46, P < 0.001), and was used to construct a nomogram. WES confirmed prognostic gene mutations (VCAN, CAMK4, and CD226) potentially influencing nimotuzumab response. CONCLUSIONS: Our findings demonstrate that elevated infiltration of central memory CD4+CCR7+ T cells in HCC correlates with an immunosuppressive tumor microenvironment, which may contribute to impaired efficacy of EGFR-targeted antibodies and worse clinical outcomes.
MEMBER ACCOUNT
登录成功会直接打开下一页。