Dynamic matrisome: ECM remodeling factors licensing cancer progression and metastasis

Yuzhalin, Arseniy E.; Lim, Su Yin; Kutikhin, Anton G.; Gordon-Weeks, Alex

doi:10.1016/j.bbcan.2018.09.002

Cited by 106 publications

(87 citation statements)

References 390 publications

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“…In addition, treatment of a KPC/CAF coculture with DON in vitro showed that there was extensive downregulation in the expression of ECM proteases such as MMP12, MMP7, and MMP8 ( Figure 5). These proteases are involved in dynamic remodeling of the ECM during tumor progression, specifically regulating metastasis (63). Recent studies have shown that amino acid-mediated metabolic crosstalk between CAFs and tumor epithelial cells affects the biophysical as well as biological properties of the tumor (64).…”

Section: Resultsmentioning

confidence: 99%

Targeting tumor-intrinsic hexosamine biosynthesis sensitizes pancreatic cancer to anti-PD1 therapy

Sharma

Gupta

Garrido

et al. 2019

Journal of Clinical Investigation

155

127

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Section: Resultsmentioning

confidence: 99%

Targeting tumor-intrinsic hexosamine biosynthesis sensitizes pancreatic cancer to anti-PD1 therapy

Sharma

Gupta

Garrido

et al. 2019

Journal of Clinical Investigation

155

127

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“…Herein, cancer would be an illustrative example of such a "cell development-metabolism synchronization". Indeed, whereas cancer represents a status in which ECM remodeling is required and observed [56][57][58], cancer cells and the tumor microenvironment have specific metabolic profiles and unique bioenergetic properties in different form noncancer cells [59,60]. Interestingly, SPARC was suggested to play a homeostasis-regulatory role in cancer.…”

Section: Sparc: Metabolics and Homeostasismentioning

confidence: 99%

Secreted Protein Acidic and Rich in Cysteine: Metabolic and Homeostatic Properties beyond the Extracellular Matrix Structure

2020

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An extracellular matrix (ECM) is a network of numerous macromolecules that represents the cellular structural support involved in key biofunctions such as signal transduction and cellular adhesion. In addition, ECM-associated proteins interact with ECM and with other endogenous structures and molecules to control cellular growth, structural modifications, cellular migration, etc. Among the ECM-associated proteins, secreted protein acidic and rich in cysteine (SPARC) is a protein that is known to be expressed when tissues change. Herein, we put a spotlight on selected, metabolic and homeostatic properties beyond the known properties of ECM and SPARC. Importantly, the synchronization of the metabolic and structural implications of SPARC and the ECM would indicate an adaptation of the metabolism to meet the needs of the changes that the tissues undergo. Highlighting such properties would have important applications in diverse fields that include therapeutics, metabolics, and pathogenesis.

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“…Regarding cellular component, a noticeable enriched term of DEGs was extracellular matrix. Intimate and complex communications between tumor cells and the ECM have been established and this result emphasized the roles of DEGs in HNSCC progression [22][23][24]. What is more, KEGG analysis results suggested these genes showed enrichment in cytokine-cytokine receptor interaction, cell adhesion molecules (CAMs), B cell receptor signaling pathway, and Toll-like receptor signaling pathway, all were functional processes involved in HNSCC pathogenesis.…”

Section: Discussionmentioning

confidence: 83%

Identification of key genes in head and neck squamous cell carcinoma microenvironment based on gene expression profile

Xu¹,

Jin²,

Qin³

2020

Preprint

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Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is one of the most prevalent malignancy worldwide with high incidence and mortality. Recently, it has been well established that tumor microenvironment (TME) is intimately associated with cancer progression, in which the infiltration of immune and stromal cells could be exploited as effective biomarkers for cancer diagnosis and prognosis. In this study, we aimed to investigate HNSCC microenvironment to identify significant genes involved in carcinogenesis. Methods: The ESTIMATE algorithm was applied to calculate immune scores and stromal scores based on the gene expression profiles downloaded from The Cancer Genome Atlas (TCGA) database and the correlation of these scores with clinical parameters and prognosis was further analyzed. Differential expression analysis and functional enrichment analysis were performed by R software. Results: Immune scores and stromal scores were calculated by ESTIMATE algorithm and their correlations with clinicopathological characteristics of HNSCC patients were identified. Differentially expressed genes (DEGs) based on two scores were identified and subjected to functional analysis, demonstrating their close associations with tumor immunity. Hub genes were selected from which CCR2, CCR4, CCR8 and P2RY14 were found to be significantly associated with the survival rate of HNSCC patients. Conclusions: In summary, we made a comprehensive analysis of HNSCC microenvironment and illustrated several key immune-related genes, which may provide evidences for the development of precision immunotherapy.

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Dynamic matrisome: ECM remodeling factors licensing cancer progression and metastasis

Cited by 106 publications

References 390 publications

Targeting tumor-intrinsic hexosamine biosynthesis sensitizes pancreatic cancer to anti-PD1 therapy

Targeting tumor-intrinsic hexosamine biosynthesis sensitizes pancreatic cancer to anti-PD1 therapy

Secreted Protein Acidic and Rich in Cysteine: Metabolic and Homeostatic Properties beyond the Extracellular Matrix Structure

Identification of key genes in head and neck squamous cell carcinoma microenvironment based on gene expression profile

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