Department of Obstetrics and Gynecology, The Second Xiangya Hospital of Central South University, Changsha, China.
Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Life Sci. 2023 May 1;320:121576. doi: 10.1016/j.lfs.2023.121576. Epub 2023 Mar 16.
One of the main factors hampering the long-term prognosis of colorectal cancer (CRC) patients is distant metastasis. However, the driving factors of CRC metastasis have not been clarified at the single-cell level, which limits the in-depth study of accurate prediction and prevention of CRC metastasis to improve the prognosis.
Heterogeneities in the tumor microenvironment (TME) between metastatic and nonmetastatic CRC were investigated by single-cell RNA (scRNA) sequencing data. In detail, 50,462 single cells from 20 primary CRC samples, including 40,910 cells from nonmetastatic CRC (M0 group) and 9552 cells from metastatic CRC (M1 group), were systematically analyzed in this study.
Based on the single-cell atlas, we revealed that cancer cells and fibroblasts accounted for relatively high proportions in metastatic CRC compared with nonmetastatic CRC. Moreover, two specific cancer cell subtypes (FGGYSLC6A6 and IGFBP3KLK7 cancer cells) and three specific fibroblast subtypes (ADAMTS6CAPG, PIM1SGK1 and CA9UPP1 fibroblasts) in metastatic CRC were identified. The functional and differentiation characteristics of these specific cell subclusters were elucidated by enrichment and trajectory analyses.
These results provide fundamental knowledge for future in-depth research to screen effective methods and drugs to predict and prevent CRC metastasis to improve prognosis.
阻碍结直肠癌(CRC)患者长期预后的主要因素之一是远处转移。然而,CRC 转移的驱动因素在单细胞水平上尚未阐明,这限制了对 CRC 转移的准确预测和预防的深入研究,以改善预后。
通过单细胞 RNA(scRNA)测序数据研究转移性和非转移性 CRC 之间肿瘤微环境(TME)的异质性。详细地,系统分析了来自 20 个原发性 CRC 样本的 50462 个单细胞,包括来自非转移性 CRC(M0 组)的 40910 个细胞和来自转移性 CRC(M1 组)的 9552 个细胞。
基于单细胞图谱,我们揭示转移性 CRC 中的癌细胞和成纤维细胞比例相对高于非转移性 CRC。此外,在转移性 CRC 中鉴定出两种特定的癌细胞亚型(FGGYSLC6A6 和 IGFBP3KLK7 癌细胞)和三种特定的成纤维细胞亚型(ADAMTS6CAPG、PIM1SGK1 和 CA9UPP1 成纤维细胞)。通过富集和轨迹分析阐明了这些特定细胞亚群的功能和分化特征。
这些结果为未来筛选有效的方法和药物以预测和预防 CRC 转移、改善预后提供了基础。