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非小细胞肺癌脑转移灶的单细胞和空间基因组图谱

SCI天天读  · 公众号  ·  · 2025-03-09 22:09

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SCI

9 March 2025

Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases

(Nature Medicine, if=58.7)

  • Tagore S, Caprio L, Amin AD, Bestak K, Luthria K, D'Souza E, Barrera I, Melms JC, Wu S, Abuzaid S, Wang Y, Jakubikova V, Koch P, Brodtman DZ, Bawa B, Deshmukh SK, Ebel L, Ibarra-Arellano MA, Jaiswal A, Gurjao C, Biermann J, Shaikh N, Ramaradj P, Georgis Y, Lagos GG, Ehrlich MI, Ho P, Walsh ZH, Rogava M, Politis MG, Biswas D, Cottarelli A, Rizvi N, Shu CA, Herzberg B, Anandasabapathy N, Sledge G, Zorn E, Canoll P, Bruce JN, Rizvi NA, Taylor AM, Saqi A, Hibshoosh H, Schwartz GK, Henick BS, Chen F, Schapiro D, Shah P, Izar B.

  • Correspondence: [email protected]

Brain metastases frequently develop in patients with non-small cell lung cancer (NSCLC) and are a common cause of cancer-related deaths, yet our understanding of the underlying human biology is limited. Here we performed multimodal single-nucleus RNA and T cell receptor, single-cell spatial and whole-genome sequencing of brain metastases and primary tumors of patients with treatment-naive NSCLC. Chromosomal instability (CIN) is a distinguishing genomic feature of brain metastases compared with primary tumors, which we validated through integrated analysis of molecular profiling and clinical data in 4,869 independent patients, and a new cohort of 12,275 patients with NSCLC. Unbiased analyses revealed transcriptional neural-like programs that strongly enriched in cancer cells from brain metastases, including a recurring, CINhigh cell subpopulation that preexists in primary tumors but strongly enriched in brain metastases, which was also recovered in matched single-cell spatial transcriptomics. Using multiplexed immunofluorescence in an independent cohort of treatment-naive pairs of primary tumors and brain metastases from the same patients with NSCLC, we validated genomic and tumor-microenvironmental findings and identified a cancer cell population characterized by neural features strongly enriched in brain metastases. This comprehensive analysis provides insights into human NSCLC brain metastasis biology and serves as an important resource for additional discovery.

非小细胞肺癌(NSCLC)患者经常发生脑转移,这是癌症相关死亡的常见原因之一,但我们对其潜在的人体生物学特性了解有限。在这里,我们对未经治疗的NSCLC患者的脑转移瘤和原发肿瘤进行了多模式单核RNA和T细胞受体、单细胞空间和全基因组测序。与原发肿瘤相比,染色体不稳定性(CIN)是脑转移瘤的一个显著基因组特征,我们通过对4869名独立患者和12275名新的NSCLC患者的分子图谱和临床数据进行综合分析,验证了这一点。无偏倚分析揭示了脑转移瘤癌细胞中强烈富集的转录神经样程序,包括原发肿瘤中预先存在但在脑转移瘤中强烈富集的反复出现的CIN高细胞亚群,这在匹配的单细胞空间转录组学中也得到了证实。通过对来自同一 NSCLC 患者的原发肿瘤和脑转移灶进行多重免疫荧光检测,我们验证了基因组学和肿瘤微环境研究结果,并确定了脑转移灶中强烈富集的以神经特征为特征的癌细胞群。这项全面的分析为人类 NSCLC 脑转移生物学提供了深入的见解,并为进一步的发现提供了重要的资源。


AI全文解析
这篇发表在 Nature Medicine 的研究文章 《非小细胞肺癌脑转移的单细胞和空间基因组图谱》 主要探讨了 非小细胞肺癌(NSCLC)脑转移(BM) 的基因组和转录组特征,并通过多种前沿技术揭示了其生物学机制。以下是核心内容的总结和分析:

研究背景

• 临床挑战:非小细胞肺癌(NSCLC)是导致脑转移(BM)的主要癌症类型之一,约 10% 的患者在确诊时已有脑转移,40% 的患者在疾病进展过程中发生脑转移。脑转移患者预后极差,但其分子机制尚不清楚。

• 研究目标:通过多模态单细胞和空间基因组学分析,解析 NSCLC 及其脑转移的基因组变化、肿瘤微环境(TME)特征和关键生物学机制,以寻找潜在的治疗靶点。

研究方法

• 样本分析:研究收集了 43 例未经治疗的 NSCLC 肿瘤样本(包括 12 例原发肿瘤 PT 和 31 例脑转移 BM)。






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