Role of Extracellular Matrix in Gastrointestinal Cancer-Associated Angiogenesis

Andreuzzi, Eva; Capuano, Alessandra; Poletto, Evelina; Pivetta, Eliana; Fejza, Albina; Favero, Andrea; Doliana, Roberto; Cannizzaro, Renato; Spessotto, Paola; Mongiat, Maurizio

doi:10.3390/ijms21103686

Cited by 25 publications

(23 citation statements)

References 322 publications

(373 reference statements)

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“…Sustained angiogenesis is another hallmark of cancer, and angiogenesis allows tumors to grow due to the access to an ample nutrient supply which can be regulated by several angiogenic factors including VEGF and FGF-2 [ 214 ]. The significant roles of ECM remodeling in tumor angiogenesis have been discussed and highlighted in a previous review [ 215 ]. We concentrate on the current knowledge regarding how PGs/GAGs regulate angiogenesis in cancer.…”

Section: Dysregulation Of Gags/pgs In Cancer Progressionmentioning

confidence: 99%

Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression

Wei

Huang

et al. 2020

IJMS

108

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The extracellular matrix (ECM) spatiotemporally controls cell fate; however, dysregulation of ECM remodeling can lead to tumorigenesis and cancer development by providing favorable conditions for tumor cells. Proteoglycans (PGs) and glycosaminoglycans (GAGs) are the major macromolecules composing ECM. They influence both cell behavior and matrix properties through direct and indirect interactions with various cytokines, growth factors, cell surface receptors, adhesion molecules, enzymes, and glycoproteins within the ECM. The classical features of PGs/GAGs play well-known roles in cancer angiogenesis, proliferation, invasion, and metastasis. Several lines of evidence suggest that PGs/GAGs critically affect broader aspects in cancer initiation and the progression process, including regulation of cell metabolism, serving as a sensor of ECM’s mechanical properties, affecting immune supervision, and participating in therapeutic resistance to various forms of treatment. These functions may be implemented through the characteristics of PGs/GAGs as molecular bridges linking ECM and cells in cell-specific and context-specific manners within the tumor microenvironment (TME). In this review, we intend to present a comprehensive illustration of the ways in which PGs/GAGs participate in and regulate several aspects of tumorigenesis; we put forward a perspective regarding their effects as biomarkers or targets for diagnoses and therapeutic interventions.

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Section: Dysregulation Of Gags/pgs In Cancer Progressionmentioning

confidence: 99%

Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression

Wei

Huang

et al. 2020

IJMS

108

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“…High-level expression of ICAM-1 can be detected in GC cells with a high metastasis rate, which shows that the expression of ICAM-1 is significantly related to the invasion and metastasis of GC, and can be effectively used for clinical monitoring of gastric cancer's blood-borne lymphoid transfer [26]. The extracellular matrix is a key component that plays an active role in all cancer characteristics [27] and mediates cell-microenvironment interactions [28]. The biological process of Hyper-LGs mainly involved response to nicotine and xenobiotic metabolic process.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics analysis of aberrantly methylated- differentially expressed genes in gastric cancer

Siyuan

Shu

2021

Preprint

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Background: This study was carried out to identify the aberrantly methylated-differentially expressed genes in gastric cancer (GC). Methods: We downloaded data of gene expression microarrays GSE118916 and gene methylation microarrays GSE25869 from the Gene Expression Omnibus (GEO) database. The DEGs and DMGs were analyzed by the limma software package and Venn diagram. The PPI network was mapped and the enrichment analysis was conducted by the DAVID database. GEPIA online tool, Oncomine database, HPA, and cBioPortal tool were used to verify hub genes. Result: We obtained 110 Hypo-HGs, 9 high-regulation hypomethylation oncogenes, 23 Hyper-LGs, and 2 low-regulation hypermethylation tumor suppressor genes. Hypo-HGs biological process mainly involves cell adhesion and extracellular matrix organization, Hyper-LGs biological process mainly involves response to nicotine and xenobiotic metabolic process. KEGG analysis showed that Hypo-HGs significantly enriched in Focal adhesion, PI3K-Akt signaling pathway, and ECM-receptor interaction. Hyper-LGs significantly enriched in Drug metabolism-cytochrome P450, Chemical carcinogenesis, and Metabolism of xenobiotics by cytochrome P450. The database identified the hub genes were COL1A1, THBS1, COL5A2, COL12A1, and CXCR. Conclusion: COL1A1, THBS1, COL5A2, COL12A1, and CXCR4 can be used as a target for precise diagnosis and treatment of GC. Focal adhesion, PI3K-Akt signaling pathway, and ECM-receptor interaction are important mechanisms of GC.

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“…In this respect, a significant relationship between the immune microenvironment and pathological angiogenesis in GC has previously been reported [ 22 ]. The ECM is a key component of the tumor and cancer progression, due to it acting on endothelial cells [ 23 ]. Besides, integrin-mediated adhesion plays an important role during angiogenesis and protects the integrity of endothelial cells [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Angiogenesis-Related Gene Expression Signatures Predicting Prognosis in Gastric Cancer Patients

Ren

Zhu

et al. 2020

Cancers

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Increasing evidence indicates that angiogenesis is crucial in the development and progression of gastric cancer (GC). This study aimed to develop a prognostic relevant angiogenesis-related gene (ARG) signature and a nomogram. The expression profile of the 36 ARGs and clinical information of 372 GC patients were extracted from The Cancer Genome Atlas (TCGA). Consensus clustering was applied to divide patients into clusters 1 and 2. Least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to identify the survival related ARGs and establish prognostic gene signatures, respectively. The Asian Cancer Research Group (ACRG) (n = 300) was used for external validation. Risk score of ARG signatures was calculated, and a prognostic nomogram was developed. Gene set enrichment analysis of the ARG model risk score was performed. Cluster 2 patients had more advanced clinical stage and shorter survival rates. ARG signatures carried prognostic relevance in both cohorts. Moreover, ARG-risk score was proved as an independent prognostic factor. The predictive value of the nomogram incorporating the risk score and clinicopathological features was superior to tumor, lymph node, metastasis (TNM) staging. The high-risk score group was associated with several cancer and metastasis-related pathways. The present study suggests that ARG-based nomogram could serve as effective prognostic biomarkers and allow a more precise risk stratification.

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Role of Extracellular Matrix in Gastrointestinal Cancer-Associated Angiogenesis

Cited by 25 publications

References 322 publications

Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression

Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression

Bioinformatics analysis of aberrantly methylated- differentially expressed genes in gastric cancer

Angiogenesis-Related Gene Expression Signatures Predicting Prognosis in Gastric Cancer Patients

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