文章：

CILP是一种潜在的泛癌标志物：基于计算机模拟与体外分析的综合研究

CILP is a potential pan-cancer marker: combined silico study and in vitro analyses

原文发布日期：2023-11-15 

英文摘要：

CILP (Cartilage intermediate layer protein), an ECM (extracellular matrix) glycoprotein, is found to be associated with intervertebral disc degeneration, chronic heart failure, obese and cardiac fibrosis. However, there are few reports on the role of CILP in tumors. Thus, in this study, we mainly explored the function of CILP in the occurrence and development of tumors and whether it could be a potential pan-cancer marker. Pan-cancer data in this study were obtained from UCSC Xena. Single-cell data were obtained from GSE152938. ROC (Receiver operating characteristic) curves were used to evaluate the accuracy of CILP in predicting the occurrence of different tumor types. The Kaplan–Meier plots were used to assess the relationship between CILP expression and survival prognosis in different tumor types by COX regression analysis. Pseudotime analysis and cell communication analysis were used to further explore the function of CILP at Single cell level. The human RCC (renal cell carcinoma) cell lines ACHN and 786-O were used for further experimental verification. Bulk RNA-seq showed differences in CILP expression in several tumors. ROC curves showed that 14 tumors have AUC > 0.7. Kaplan–Meier plots indicated that CILP is a risk factor for patients in 3 kinds of tumors. ScRNA-seq (Single cell RNA sequencing) suggested that CILP might influence tumors through fibroblasts and cell–cell communication. Finally, we verified the function of CILP at the cellular level by using RCC cell lines ACHN and 786-O and found that knockdown of CILP could significantly inhibit migration and invasion. This finding supports that CILP could be a risk factor as well as a pan-cancer predictor for patients. 

摘要翻译： 

CILP（关节 cartilage 中间的蛋白质），作为一种外分泌基质（ECM）的糖蛋白，与间盘退行性、慢性心衰、肥胖及心脏纤维化等疾病相关。然而，目前关于 CILP 在肿瘤中的作用的研究报道较少。因此，在本研究中，我们主要探讨了 CILP 在肿瘤的发生和进展中的功能以及其是否可能是泛癌标记物（pan-cancer marker）。泛癌数据来源于 UCSC Xena 机构的数据库，单细胞数据来源于 GSE152938 数据集。为了评价 CILP 预测不同肿瘤类型发生准确性，我们使用了 ROC 曲线（受试者工作特征曲线下面积）方法。通过 COX 回归分析，我们使用 Kaplan–Meier 绘图评估了不同肿瘤类型的 CILP 表达与生存预后之间的关系。此外，我们还利用伪时间分析和细胞间通信分析等方法，在单细胞水平上进一步探讨了 CILP 的功能。为了验证实验结果，我们使用 ACHN 和 786-O 两种人肾细胞癌细胞系进行了进一步的实验验证。 bulk RNA-seq 数据显示，在几种肿瘤中 CILP 表达存在差异性。ROC 曲线显示，14 种肿瘤的 AUC >0.7。Kaplan–Meier 绘图表明，CILP 是三种肿瘤患者的风险因子。scRNA-seq（单细胞 RNA 分析）提示 CILP 可能通过成纤维细胞和细胞间通信影响肿瘤。最后，我们使用 ACHN 和 786-O 两种人肾细胞癌细胞系验证了 CILP 在细胞水平上的功能，并发现 CILP 抵消显著抑制癌细胞的迁移和侵袭。这一发现支持了 CILP 不仅是患者的危险因子，还是泛癌预测物的可能性。

原文链接：

CILP is a potential pan-cancer marker: combined silico study and in vitro analyses