The inhibitory effects of COL1A2 on colorectal cancer cell proliferation, migration, and invasion

Yu, Yifan; Liu, Dongliang; Liu, Zhenghao; Li, Shuqiang; Ge, Yang; Sun, Wei; Liu, Baolin

doi:10.7150/jca.25542

Cited by 60 publications

(43 citation statements)

References 37 publications

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“…COL1A2 is signi cantly down-regulated in colorectal cancer (CRC) tissues, and COL1A2 mRNA expression levels are related to tumor differentiation, invasion, and lymph node metastasis in CRC patients. COL1A2 overexpression inhibited CRC cell line proliferation, migration, and invasion [34]. COL3A1 expression is elevated in CRC tissues and cells.…”

Section: Expression Of Lgals1 and Its Diagnostic Value In Escamentioning

confidence: 89%

The Diagnostic Value of LGALS1 in Esophageal Cancer and its Potential Molecular Pathways via Bioinformatic Analysis

Yang

Yue

et al. 2020

Preprint

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Background: Esophageal cancer is one of the most common malignant tumors. The purpose of this study was to reveal the expression of LGALS1 in esophagus cancer (ESCA) and its clinical value, and to explore the mechanism of LGALS1 in the occurrence and development of ESCA.Methods: Oncomine, Tumor Immune Estimation Resource (Timer) and The Cancer Genome Atlas (TCGA) database were used to analyze the expression of LGALS1 in ESCA and its value in the diagnosis of ESCA. The correlation between LGALS1 and the clinicopathological characteristics of ESCA patients was analyzed in the Ualcan database. In TCGA database, we performed Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) to elucidate the potential mechanism underlying the role of LGALS1 in ESAC. LGALS1 co-expressed genes were imported into the String database to build a protein-protein interaction (PPI) network. The CytoHubba plug-in in Cytoscape was used to screen the hub gene and was verified in Gene Expression Profiling Interactive Analysis (GEPIA) and TCGA database.Results: LGALS1 was highly expressed in ESCA tissues. Increasing the expression level of LGALS1 was related to age, ethnicity, clinical stage, tumor grade, and histological subtype of ESCA patients, and receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) was 0.8511 (P <0.001). There are 482 LGALS1 co-expressed genes. GO and KEGG show that LGALS1 co-expressed genes are mainly involved in endothelial cell differentiation, transforming growth factor receptor signaling pathway, epithelial cell proliferation, ECM receptor interactions, leukocyte migration, transcriptional disorders during cancer, PI3K/AKT signaling pathway and other processes. GSEA showed that elevated LGALS1 was mainly enriched for ECM receptor interactions, cancer pathways, and TGF BETA signaling pathways. The Hub genes COL1A1, FN1, COL1A2, COL3A1, COL5A1, COL5A2, COL4A2, COL18A1, and COL6A1 are higher expressed in ESCA tissues and have diagnostic significance in ESCA.Conclusion: LGALS1 expression is elevated in ESCA patients and may be a potential diagnostic marker for ESCA patients. PI3K/AKT signaling pathway, TGF BETA signaling pathway, cancer pathway, cytokine and cytokine interaction may be an important pathway for regulation in occurrence and development of ESCA.

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Section: Expression Of Lgals1 and Its Diagnostic Value In Escamentioning

confidence: 89%

The Diagnostic Value of LGALS1 in Esophageal Cancer and its Potential Molecular Pathways via Bioinformatic Analysis

Yang

Yue

et al. 2020

Preprint

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“…In bladder and colorectal cancer, COL1A2 was significantly downregulated and mainly plays an anticarcinogenic role in tumor development. [ 42 , 43 ] However, in other malignancies such as ovarian cancer, pancreatic cancer, and head and neck cancer, overexpressed COL1A2 was found to promote tumor cell invasion and migration. [ 44 , 45 ] Thus, the unique roles of COL1A2 in various cancers may be partially attributed to specific genetic characteristics of the different malignancies.…”

Section: Discussionmentioning

confidence: 99%

Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma

Zhou¹,

Liu

Zhu³

et al. 2020

Medicine

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Background: Hypopharyngeal and esophageal squamous cell carcinoma (ESCC) are the most common double primary tumors with poor prognosis. Intensive work has been made to illuminate the etiology, but the common carcinogenic mechanism remains unclear. Thus, we conducted the study to seek to find the common gene signatures and key functional pathways associated with oncogenesis and treatment in hypopharyngeal squamous cell carcinoma (HSCC) and ESCC by bioinformatic analysis. Methods: Three independent datasets (GSE2379, GSE20347, and GSE75241) were screened out from the Gene Expression Omnibus (GEO) database and the overlapping differentially expressed genes (DEGs) were identified using GEO2R online platform. Subsequently, the Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis of DEGs were conducted using database for annotation, visualization and integrated discovery (DAVID). Meanwhile, the protein–protein interaction network (PPI) constructed by search tool for the retrieval of interacting genes (STRING) was visualized using Cytoscape. Afterwards, the most key module and hub genes were extracted from the PPI network using the Molecular Complex Detection plugin. Moreover, the gene expression profiling interactive analysis (GEPIA) was applied to verify the expression differences and conduct the survival analyses of hub genes. Finally, the interaction network of miRNAs and hub genes constructed by encyclopedia of RNA interactomes (ENCORI) was visualized using Cytoscape. Results: A total of 43 DEGs were identified, comprising 25 upregulated genes and 18 downregulated genes, which were mainly involved in the extracellular matrix-receptor interaction, collagen metabolic, epidermis development, cell adhesion, and PI3K/Akt signaling pathways. Subsequently, 12 hub genes were obtained and survival analysis demonstrated SERPINE1 and SPP1 were closely related to poor prognosis of patients with HSCC and ESCC. Finally, hsa-miR-29c-3p, hsa-miR-29a-3p, and hsa-miR-29b-3p were confirmed as the top 3 interactive miRNAs that target the most hub genes according to the interaction network of miRNAs and hub genes. Conclusion: The common gene signatures and functional pathways identified in the study may contribute to understanding the molecular mechanisms involved in the carcinogenesis and progression of HSCC and ESCC, and provide potential diagnostic and therapeutic targets.

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“…COL1A1 can be used as a new therapeutic marker and a target for hepatocellular carcinogenesis (Ma et al, 2019). Another study demonstrated that COL1A2 may affect proliferation, migration, and invasion of colorectal cancer cells (Yu et al, 2018). Omar Ret al, reported that COL1A2 affects cell migration of fibrosarcoma and chondrosarcoma by acting on TBX3 (Omar et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis

2020

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Purpose: Stomach adenocarcinoma (STAD) is one of the most frequently diagnosed cancer in the world with both high mortality and high metastatic capacity. Therefore, the present study aimed to investigate novel therapeutic targets and prognostic biomarkers that can be used for STAD treatment. Materials and Methods: We acquired four original gene chip profiles, namely GSE13911, GSE19826, GSE54129, and GSE65801 from the Gene Expression Omnibus (GEO). The datasets included a total of 114 STAD tissues and 110 adjacent normal tissues. The GEO2R online tool and Venn diagram software were used to discriminate differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) enriched pathways were also performed for annotation and visualization with DEGs. The STRING online database was used to identify the functional interactions of DEGs. Subsequently, we selected the most significant DEGs to construct the protein-protein interaction (PPI) network and to reveal the core genes involved. Finally, the Kaplan-Meier Plotter online database and Gene Expression Profiling Interactive Analysis (GEPIA) were used to analyze the prognostic information of the core DEGs.

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The inhibitory effects of COL1A2 on colorectal cancer cell proliferation, migration, and invasion

Cited by 60 publications

References 37 publications

The Diagnostic Value of LGALS1 in Esophageal Cancer and its Potential Molecular Pathways via Bioinformatic Analysis

The Diagnostic Value of LGALS1 in Esophageal Cancer and its Potential Molecular Pathways via Bioinformatic Analysis

Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma

Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis

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