Spatial Transcriptomics Reveals Location-Specific Tumor Cell Subtypes and Signaling within Multifocal Small Intestinal Neuroendocrine Tumors

生物 转录组 神经内分泌肿瘤 免疫组织化学 表型 微阵列 病理 细胞 基因表达 基因表达谱 癌症研究 微阵列分析技术 神经内分泌细胞 组织微阵列 肿瘤进展 起源细胞 基因 电池类型 癌症 计算生物学 DNA微阵列 肿瘤微环境 基因签名 嗜铬粒蛋白A ERBB4公司 间质细胞 信号转导 ERBB3型
作者
Akitada Yogo,Naoki Akanuma,Grace Kim,Netta Mäkinen,Chrissie Thirlwell,Eric Nakakura
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:32 (10): 2098-2109
标识
DOI:10.1158/1078-0432.ccr-25-2854
摘要

PURPOSE: Small intestinal neuroendocrine tumors (SI-NET) frequently present as multifocal lesions, but the molecular mechanisms underlying their development and heterogeneity remain unclear. This study aimed to characterize the phenotypes of tumor cell populations across anatomic sites in patients with multifocal SI-NET and identify local microenvironmental factors influencing tumor development. EXPERIMENTAL DESIGN: Spatial transcriptomics was performed on 72 tissue microarray cores derived from 4 patients with multifocal SI-NETs that included tumoral and nontumoral tissues from various anatomic layers of the small intestine and regional metastatic sites. Unsupervised clustering, overrepresentation analysis, and ligand-receptor (L-R) pair analysis were used to define the tumor cell subtypes and associated signaling networks. External datasets were used for validation. Protein expression of selected genes was evaluated by immunohistochemistry and immunofluorescence. RESULTS: Unsupervised clustering revealed four major tumor cell subtypes: "mucosal," "mesenteric," "lymphatic," and "deep," based on their anatomic location and transcriptomic profiles. Each subtype exhibited distinct gene expression patterns and L-R interactions. The "mesenteric" and "lymphatic" subtypes exhibited distinct L-R pairs, such as NRG1-ERBB3 (HER3) and CXCL12-CXCR4, respectively. 5HT-HTR1D was found in all subtypes except "mucosal." Across the four subtypes, SST-SSTR1/2, PTN-NCL, MDK-NCL, and GJD2-GJD2 were consistently detected, suggesting fundamental roles in SI-NET biology. CONCLUSIONS: Although further validation is needed, our findings indicate that multifocal SI-NETs consist of spatially distinct tumor cell subtypes affected by local cellular interactions, providing insight into SI-NET intratumoral heterogeneity, possible microenvironment-triggered tumorigenesis, and potential subtype-targeted therapeutic strategies.
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