一种用于克服非小细胞肺癌治疗中抗原异质性的多靶向 CAR-T 细胞平台
A Multi-Targeting Chimeric Antigen Receptor-T Cell Platform to Overcome Antigen Heterogeneity in the Treatment of Non-Small Cell Lung Cancer.
这些发现支持采用多靶点CAR-T 策略来应对NSCLC及可能其他实体瘤中的抗原异质性。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Multiomic analysis of treatment-naïve NSCLC before the era of neoadjuvant immunotherapy reveals contrasting immune phenotypes in stage IIIA: node-dominant (T1N2) exhibiting hot versus tumor-dominant (T4N0) cold features.
Multiomic analysis of treatment-naïve NSCLC before the era of neoadjuvant immunotherapy reveals contrasting immune phenotypes in stage IIIA: node-dominant (T1N2) exhibiting hot versus tumor-dominant (T4N0) cold features.
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我们的整合多组学分析将淋巴结主导型(T1N2)NSCLC 描述为具有活跃免疫参与的“热”肿瘤,而肿瘤主导型(T4N0)NSCLC 则表现出以基质重塑、免疫排斥和免疫抑制为特征的“冷”特征。这些发现表明,肿瘤侵袭性与淋巴结播散之间的平衡可能塑造免疫微环境,并可能调节对新辅助免疫治疗的应答,突显了免疫景观分析在 NSCLC 个体化治疗中的临床价值。
非小细胞肺癌(NSCLC)在其肿瘤免疫微环境中表现出显著的异质性,这关键性地影响治疗结局。近年来,免疫检查点抑制剂(ICIs)不仅越来越多地应用于转移性疾病的治疗,也被纳入新辅助、辅助及围手术期治疗。新辅助免疫治疗后达到病理完全缓解(pCR)与复发减少和有利的生存结局密切相关。然而,用于预测术前免疫治疗反应的可靠生物标志物仍然有限。“热”肿瘤与“冷”肿瘤的二分法为解释免疫治疗反应的差异提供了一个有用的框架,但这些免疫表型在特定肿瘤分期中如何表现仍缺乏明确定义。
我们对T1N2和T4N0期NSCLC患者的肿瘤标本进行了整合分析,结合了bulk RNA测序和免疫组织化学(IHC)。冷冻样本用于RNA测序,福尔马林固定石蜡包埋(FFPE)组织用于IHC,均取自2009年至2018年间进行的手术——即在免疫治疗广泛引入之前。我们鉴定了差异表达基因(DEGs),并进行了基因本体论(GO)富集分析以表征生物学通路。通过IHC染色CD3 +、CD4 +、CD8 +、CD56 +、FOXP3 +、CD68 + 和CD163 + 标志物,评估了免疫细胞浸润和空间分布。统计分析采用Mann-Whitney U检验。
转录组学和组织学分析揭示了T1N2与T4N0肿瘤之间不同的分子和免疫特征。T1N2肿瘤富集免疫激活通路,并显示CD3+、CD4+和CD8+ T细胞密集且均匀分布的浸润。相比之下,T4N0肿瘤显示细胞外基质组织和黏附相关通路上调,伴随瘤内CD4+和CD8+ T细胞密度降低、FOXP3+调节性T细胞积聚以及CD163+ M2巨噬细胞增多,与免疫排斥表型一致。
Non-small cell lung cancer (NSCLC) exhibits substantial heterogeneity in its tumor immune microenvironment, which critically influences therapeutic outcomes. Recently, immune checkpoint inhibitors (ICIs) have been increasingly incorporated not only in metastatic settings but also into neoadjuvant, adjuvant, and perioperative treatments. Pathologic complete remission (pCR) following neoadjuvant immunotherapy is strongly associated with reduced recurrence and favorable survival outcomes. However, reliable biomarkers for predicting preoperative immunotherapy response remain limited. The dichotomy between "hot" and "cold" tumors provides a useful framework to explain differential immunotherapy responsiveness, yet how these immune phenotypes manifest across specific tumor stages remains poorly defined.
We performed integrative analyses combining bulk RNA sequencing and immunohistochemistry (IHC) on tumor specimens from patients with stage T1N2 and T4N0 NSCLC. Frozen samples were used for RNA sequencing and formalin-fixed paraffin-embedded (FFPE) tissues for IHC, obtained from surgeries performed between 2009 and 2018-prior to the widespread introduction of immunotherapy. Differentially expressed genes (DEGs) were identified, and Gene Ontology (GO) enrichment analyses were conducted to characterize biological pathways. Immune cell infiltration and spatial distribution were assessed by IHC staining for CD3 + , CD4 + , CD8 + , CD56 + , FOXP3 + , CD68 + , and CD163 + markers. Statistical analyses were performed using the Mann-Whitney U test.
Transcriptomic and histologic analyses revealed distinct molecular and immune profiles between T1N2 and T4N0 tumors. T1N2 tumors were enriched for immune activation pathways and displayed dense, evenly distributed infiltration of CD3 + , CD4 + , and CD8 + T cells. In contrast, T4N0 tumors showed upregulation of extracellular matrix organization and adhesion-related pathways, accompanied by reduced intratumoral CD4 + and CD8 + T-cell density, accumulation of FOXP3 + regulatory T cells, and increased CD163 + M2 macrophages, consistent with an immune-excluded phenotype.
Our integrative multiomic analysis delineates node-dominant (T1N2) NSCLC as "hot" tumors with active immune engagement, whereas tumor-dominant (T4N0) NSCLC exhibit "cold" features characterized by stromal remodeling, immune exclusion, and immunosuppression. These findings suggest that the balance between tumor invasiveness and nodal spread may shape immune contexture and potentially modulate responsiveness to neoadjuvant immunotherapy, highlighting the clinical value of immune landscape profiling in personalized NSCLC treatment.
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