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Specific extracellular matrix remodeling signature of colon hepatic metastases

ABSTRACT: To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment. 57 samples of patients with stage IV colorectal cancer. We compared using Affymetrix chips gene expression profiles between primary tumors and hepatic metastases

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PROVIDER: S-DIXA-D-1159 | biostudies-other |

REPOSITORIES: biostudies-other

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Specific extracellular matrix remodeling signature of colon hepatic metastases.

Project description:To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment.

| S-EPMC3762755 | biostudies-literature

Specific extracellular matrix remodeling signature of colon hepatic metastases

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Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133B]

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Specific extracellular matrix remodeling signature of colon hepatic metastases

2013-09-01 | E-GEOD-49355 | biostudies-arrayexpress

Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133B]

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Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133B]

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Extracellular Matrix Orchestration of Tissue Remodeling in the Chronically Inflamed Mouse Colon.

Project description:Background & aimsChronic inflammatory illnesses are debilitating and recurrent conditions associated with significant comorbidities, including an increased risk of developing cancer. Extensive tissue remodeling is a hallmark of such illnesses, and is both a consequence and a mediator of disease progression. Despite previous characterization of epithelial and stromal remodeling during inflammatory bowel disease, a complete understanding of its impact on disease progression still is lacking.MethodsA comprehensive proteomic pipeline using data-independent acquisition was applied to decellularized colon samples from the Muc2 knockout (Muc2KO) mouse model of colitis for an in-depth characterization of extracellular matrix remodeling. Unique proteomic profiles of the matrisomal landscape were extracted from prepathologic and overt colitis. Integration of proteomics and transcriptomics data sets extracted from the same murine model produced network maps describing the orchestrating role of matrisomal proteins in tissue remodeling during the progression of colitis.ResultsThe in-depth proteomic workflow used here allowed the addition of 34 proteins to the known colon matrisomal signature. Protein signatures of prepathologic and pathologic colitic states were extracted, differentiating the 2 states by expression of small leucine-rich proteoglycans. We outlined the role of this class and other matrisomal proteins in tissue remodeling during colitis, as well as the potential for coordinated regulation of cell types by matrisomal ligands.ConclusionsOur work highlights a central role for matrisomal proteins in tissue remodeling during colitis and defines orchestrating nodes that can be exploited in the selection of therapeutic targets.

| S-EPMC10905044 | biostudies-literature

Extracellular matrix signatures of human primary metastatic colon cancers and their metastases to liver.

Project description:BackgroundColorectal cancer is the third most frequently diagnosed cancer and the third cause of cancer deaths in the United States. Despite the fact that tumor cell-intrinsic mechanisms controlling colorectal carcinogenesis have been identified, novel prognostic and diagnostic tools as well as novel therapeutic strategies are still needed to monitor and target colon cancer progression. We and others have previously shown, using mouse models, that the extracellular matrix (ECM), a major component of the tumor microenvironment, is an important contributor to tumor progression. In order to identify candidate biomarkers, we sought to define ECM signatures of metastatic colorectal cancers and their metastases to the liver.MethodsWe have used enrichment of extracellular matrix (ECM) from human patient samples and proteomics to define the ECM composition of primary colon carcinomas and their metastases to liver in comparison with normal colon and liver samples.ResultsWe show that robust signatures of ECM proteins characteristic of each tissue, normal and malignant, can be defined using relatively small samples from small numbers of patients. Comparisons with gene expression data from larger cohorts of patients confirm the association of subsets of the proteins identified by proteomic analysis with tumor progression and metastasis.ConclusionsThe ECM protein signatures of metastatic primary colon carcinomas and metastases to liver defined in this study, offer promise for development of diagnostic and prognostic signatures of metastatic potential of colon tumors. The ECM proteins defined here represent candidate serological or tissue biomarkers and potential targets for imaging of occult metastases and residual or recurrent tumors and conceivably for therapies. Furthermore, the methods described here can be applied to other tumor types and can be used to investigate other questions such as the role of ECM in resistance to therapy.

| S-EPMC4223627 | biostudies-literature

Extracellular acidosis promotes colonization of lung metastases by mediating extracellular matrix remodeling and vasculogenic mimicry

Project description:Acidosis is a hallmark of the tumor microenvironment caused by the metabolic switch from glucose oxidative phosphorylation to glycolysis. It has been largely associated with tumor growth and progression, nevertheless, how acidosis promotes metastatic dissemination remains largely unknown. In this study, we established a long-term acidosis model using patient-derived lung cancer cells. By comparing xenograft inoculates at the cluster sizes of lung cancer circulating tumor cells, the acidosis cells display significantly higher incidence of secondary tumor establishment than their neutral pH counterparts. Transcriptomics analyses reveal a profound remodeling of the extracellular matrix in the acidosis cells, featuring the upregulation of ITGA4 and HAS3 genes, In clinical specimen, overexpression of both ITGA4 and HAS3 proteins are associated with primary tumors with metastatic ability, and their distribution is markedly accentuated around vascular mimicry structures in secondary tumors. We show that acidosis cells display higher ability of vascular mimicry in vitro, and are enriched in ABC transporter-dependent side population cells. Our data support that acidosis drives tumor metastatic colonization via enhanced extracellular matrix remodeling and vascular mimicry. Assessment on the prognostic value of tumor acidosis for metastasis and possible treatment directions are discussed.

2023-05-21 | GSE200546 | GEO

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