PO.TB10.12 · 肿瘤生物学
单细胞和空间转录组分析揭示与特发性肺纤维化相关的肺鳞状细胞癌中的纤维化相关肿瘤状态
Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis
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摘要 Abstract
中文摘要
背景:特发性肺纤维化(IPF)患者罹患肺癌的风险升高,尤其是肺鳞状细胞癌(LUSC),后者治疗选择有限且预后不佳。尽管发生于IPF患者的LUSC无论位置如何都统称为IPF相关LUSC,但在普通型间质性肺炎(UIP)病变内发生的肿瘤,相比在UIP之外发生的肿瘤,可能具有由局部纤维化微环境塑造的独特分子特征。
方法:我们进行了整合的单细胞RNA测序(scRNA-seq)和数字空间分析(GeoMx DSP),以表征具有UIP模式的LUSC患者的肿瘤和相邻肺组织。对一例UIP内(In-UIP)病例和一例UIP外(Out-UIP)病例的配对肿瘤和相邻肺组织进行了scRNA-seq,而GeoMx分析在一个独立队列中进行(In-UIP n=3,Out-UIP n=3)。scRNA-seq数据使用Scanpy(v1.10.4)处理,空间转录组数据使用GeomxTools(v3.8.0)处理。细胞轨迹使用scTour(v1.0.0)分析。空间反卷积使用Cell2location(v0.9.6)进行,并在一个外部纤维化ILD空间数据集中进行验证。
结果:为从scRNA-seq数据推断谱系关系,我们应用了基于分区的图抽象(PAGA),其显示基底细胞与恶性细胞之间存在联系,提示基底细胞是LUSC的细胞起源。肿瘤细胞进一步解析为四种转录上不同的恶性状态,其中一种以氧化应激反应和解毒程序上调为特征,包括多个WNT配体基因的诱导。scTour向量场和拟时序建模显示,该状态仅在In-UIP肿瘤中于晚期扩增。GeoMx DSP空间分析随后经Cell2location反卷积证实,与Out-UIP肿瘤相比,In-UIP肿瘤中这种应激耐受恶性状态显著富集。在相邻非恶性区域,UIP肺表现出基底细胞和棒状(club)细胞群的显著扩增,反映了UIP特异性的上皮重塑。对一个独立的空间ILD队列的分析验证了这种上皮转变特异性地存在于IPF中。
结论:单细胞和空间分析表明,UIP病变创造了一个选择性生态位,重塑局部上皮组成并促进应激耐受恶性细胞状态的区域性富集。这些数据表明,IPF的纤维化肺微环境调控恶性细胞状态及其空间组织,将微环境驱动的程序提名为IPF相关LUSC的潜在治疗靶点。
查看英文原文 English abstract
Background: Patients with idiopathic pulmonary fibrosis (IPF) have an elevated risk of lung cancer, particularly lung squamous cell carcinoma (LUSC), which is associated with limited treatment options and poor outcomes. Although LUSC occurring in IPF patients is collectively referred to as LUSC associated with IPF regardless of location, tumors arising within usual interstitial pneumonia (UIP) lesions may harbor distinct molecular traits shaped by the local fibrotic microenvironment compared with those arising outside UIP.
Methods: We performed integrated single-cell RNA sequencing (scRNA-seq) and Digital Spatial Profiling (GeoMx DSP) to characterize tumors and adjacent lung tissue from LUSC patients with UIP patterns. scRNA-seq was performed on paired tumor and adjacent lung tissue from an In-UIP case and an Out-UIP case, while GeoMx profiling was conducted in an independent cohort (In-UIP n=3, Out-UIP n=3). scRNA-seq data were processed using Scanpy (v1.10.4) and spatial transcriptomics data were processed using GeomxTools (v3.8.0). Cellular trajectories were analyzed using scTour (v1.0.0). Spatial deconvolution was performed using Cell2location (v0.9.6), with validation in an external fibrosing ILD spatial dataset.
Results: To infer lineage relationships from the scRNA-seq data, we applied partition-based graph abstraction (PAGA), which demonstrated a connection between basal cells and malignant cells, suggesting basal cells as a cellular origin of LUSC. Tumor cells were further resolved into four transcriptionally distinct malignant states, one of which was characterized by upregulation of oxidative stress-response and detoxification programs, including induction of multiple WNT ligand genes. scTour vector-field and pseudotime modeling showed expansion of this state at late phase exclusively in the In-UIP tumor. Spatial profiling by GeoMx DSP followed by Cell2location deconvolution confirmed significant enrichment of this stress-tolerant malignant state in In-UIP tumors compared with Out-UIP tumors. In adjacent non-malignant regions, UIP lungs exhibited marked expansion of basal and club populations, reflecting UIP-specific epithelial remodeling. Analysis of an independent spatial ILD cohort validated this epithelial shift specifically in IPF.
Conclusions: Single-cell and spatial analyses demonstrate that UIP lesions create a selective niche that reshapes local epithelial composition and promotes regional enrichment of a stress-tolerant malignant cell state. These data indicate that the fibrotic lung microenvironment of IPF conditions malignant cell states and their spatial organization, nominating microenvironment-driven programs as potential therapeutic targets in LUSC associated with IPF.
利益披露 Disclosure
K. Manabe, None..
A. Matsuoka, None..
K. Shien, None..
S. Tomida, None..
H. Torigoe, None..
K. Hisamatsu, None..
R. Fujiwara, None..
K. Ishimura, None..
S. Mori, None..
R. Fujii, None..
A. Mimata, None..
K. Okada, None..
R. Yoshichika, None..
M. Yoshikawa, None..
Y. Fukumoto, None..
H. Yamamoto, None..
K. Nakajima, None..
S. Tanaka, None..
K. Suzawa, None..
K. Miyoshi, None..
M. Okazaki, None..
S. Sugimoto, None..
S. Toyooka, None.