ArticleCancer gene therapy2024
CILP is a potential pan-cancer marker: combined silico study and in vitro analyses.
Article in Cancer gene therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Urinary proteome and metabolome uncover tumor microenvironment and cellular metabolism changes of renal clear cell carcinoma.British journal of cancer · 2026Article
- Cartilage intermediate layer protein inhibits ligamentum flavum hypertrophy mediated by TGF-β1/SMAD3/SERPINE2 signaling pathway.Cellular and molecular life sciences : CMLS · 2026Article
- CILP attenuates pulmonary fibrosis through the TGF-β1/SMAD3 pathway.European journal of medical research · 2025Article
- The role of intercellular communication in diabetic nephropathy.Frontiers in immunology · 2024Review
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3 authors at 2 institutions in 1 country.
Funding
Abstract
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.
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