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IL-8, MSPa, MIF, FGF-9, ANG-2 and AgRP collection were identified for the diagnosis of colorectal cancer based on the support vector machine model

Cui, Mingfu ; Zhao, Yanan ; Zhang, Zuocong ; Zhao, Yang ; Han, Songyun ; Wang, Ruijie ; Ding, Dayong ; Fang, Xuedong

Cell cycle (Georgetown, Tex.), 2021-04, Vol.20 (8), p.781-791 [Peer Reviewed Journal]

United States: Taylor & Francis

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Title:
IL-8, MSPa, MIF, FGF-9, ANG-2 and AgRP collection were identified for the diagnosis of colorectal cancer based on the support vector machine model
Author: Cui, Mingfu ; Zhao, Yanan ; Zhang, Zuocong ; Zhao, Yang ; Han, Songyun ; Wang, Ruijie ; Ding, Dayong ; Fang, Xuedong
Subjects: Aged ; Agouti-Related Protein - blood ; Agouti-Related Protein - genetics ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - genetics ; Colorectal cancer ; Colorectal Neoplasms - blood ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - genetics ; Databases, Genetic ; diagnosis ; differentially expressed proteins ; Female ; Fibroblast Growth Factor 9 - blood ; Fibroblast Growth Factor 9 - genetics ; Humans ; Interleukin-8 - blood ; Interleukin-8 - genetics ; Intramolecular Oxidoreductases - blood ; Intramolecular Oxidoreductases - genetics ; Macrophage Migration-Inhibitory Factors - blood ; Macrophage Migration-Inhibitory Factors - genetics ; Male ; Middle Aged ; Research Paper ; Support Vector Machine ; svm model prediction ; Vesicular Transport Proteins - blood ; Vesicular Transport Proteins - genetics
Is Part Of: Cell cycle (Georgetown, Tex.), 2021-04, Vol.20 (8), p.781-791
Notes: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Description: Colorectal cancer (CRC) is one of the most common cancer, and the early detection of CRC is essential to improve the survival rate of patients. To identify diagnostic markers for colorectal cancer (CRC) by screening differentially expressed proteins (DEPs) in CRC. The DEPs were initially obtained from 12 CRC samples and 12 healthy control samples, and verification analysis was performed in another 34 CRC samples and 34 normal controls. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment with DEPs was analyzed by the R package clusterProfiler (Version 3.2.11), and the DEP-associated protein-protein interaction (PPI) network was created from the STRING database. Additionally, Support Vector Machine (SVM) model prediction and survival analyses were conducted on the key DEPs. Preliminary screening and functional analysis showed that the DEPs mainly overrepresented in pathways such as cytokine-cytokine receptor interaction, chemokine signaling pathway, Rap1, Ras, and MAPK signaling pathways. The key DEPs, including AgRP, ANG-2, Dtk, EOT3, FGF-4, FGF-9, HCC-4, IL-16, IL-8, MIF, MSPa, TECK, TPO, TRAIL R3, and VEGF-D, were used to construct a custom chip. The drug-gene interaction network suggested that TPO was a key drug target. ROC curve showed the SVM diagnostic model with the DEPs IL-8, MSPa, MIF, FGF-9, ANG-2, and AgRP had better diagnostic performance with an AUC of 0.933. Survival analysis showed the expression of FGF9, TPO, TRAIL R3, Dtk, TECK and FGF4 were associated with prognosis. This study revealed the important serum proteins in the pathogenesis of CRC, which might serve as useful and noninvasive predictors for the diagnosis of CRC.
Publisher: United States: Taylor & Francis
Language: English

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IL-8, MSPa, MIF, FGF-9, ANG-2 and AgRP collection were identified for the diagnosis of colorectal cancer based on the support vector machine model

Cui, Mingfu ; Zhao, Yanan ; Zhang, Zuocong ; Zhao, Yang ; Han, Songyun ; Wang, Ruijie ; Ding, Dayong ; Fang, Xuedong

United States: Taylor & Francis

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