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:Morphological and Molecular Characterization of KRAS G12C-Mutated Lung Adenocarcinomas.
Morphological and Molecular Characterization of KRAS G12C-Mutated Lung Adenocarcinomas.
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肺腺癌(LUAD)是非小细胞肺癌的主要亚型,约占病例的60%。对LUAD的分子分析显示,KRAS基因在高达30%的病例中发生突变;此类病例此前被认为“不可成药”。在靶向抑制剂的初步、有前景的I期和II期试验之后,KRAS G12C突变已成为研究热点。
我们通过下一代测序分析了202例KRAS G12C突变LUAD的形态学和基因组学特征,并确定了一个可能对KRAS G12C抑制剂表现出更好应答的特定患者亚型。主要组织学亚型为腺泡型,占29.7%。TIL(肿瘤浸润淋巴细胞)(TILs)在超过60%的病例中呈高度或中度丰富。免疫组化特征显示,78.7%的病例TTF1阳性,44.1%的病例PD-L1阳性。分子特征显示,25.2%的病例存在KRAS G12C与STK11突变的关联。该亚组与TTF1(p = 0.0092)和PD-L1(p < 0.0001)阳性率显著降低具有统计学相关性。这种形态学与分子学相结合的分析类型可以增进我们对肿瘤生物学的理解,并帮助我们识别能够获得最佳治疗应答的特定患者亚组。
Lung adenocarcinoma (LUAD) is the major subtype of non-small cell lung cancer, accounting for approximately 60% of cases. Molecular analysis of LUADs showed that the KRAS gene is mutated in up to 30% of cases; such cases were previously considered "undruggable". The KRAS G12C mutation has become a hot topic of research after initial, promising, phase I and II trials with targeted inhibitors.
We analyzed the morphological and genomic landscape of 202 KRAS G12C mutated LUADs using next-generation sequencing, and identified a specific subtype of patients that could show an improved response to KRAS G12C inhibitors. The main histological subtype was acinar in 29. 7% of cases. Tumor-infiltrating lymphocytes (TILs) were highly or moderately abundant in more than 60% of cases. The immunohistochemical profile showed TTF1 positivity in 78.
7% of cases and PD-L1 positivity in 44. 1% of cases. The molecular profile showed an association between KRAS G12C and STK11 mutations in 25. 2% of cases. This subgroup was associated with a statistically significant lower TTF1 ( p = 0. 0092) and PD-L1 ( p < 0. 0001) positivity. This type of combined morphological and molecular analysis can improve our understanding of tumor biology, and help us to identify specific patient subgroups that can achieve the best treatment response.
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