Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB16094 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR488184_1.fastq.gz | Fastqsanger.gz | |||
| DRR488184_2.fastq.gz | Fastqsanger.gz | |||
| DRR488185_1.fastq.gz | Fastqsanger.gz | |||
| DRR488185_2.fastq.gz | Fastqsanger.gz | |||
| DRR488186_1.fastq.gz | Fastqsanger.gz |
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Project description:About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor clinical outcome, but was so far mainly studied via bulk genomic analyses. In this study we performed spatial proteomics via MALDI mass spectrometry imaging on six patient matched CRC primary tumor and liver metastases to characterize interpatient, intertumor and intratumor hetereogeneity. We found several peptide features that were enriched in vital tumor areas of primary tumors and liver metastasis and tentatively derived from tumor cell specific proteins such as annexin A4 and prelamin A/C. Liver metastases of colorectal cancer showed higher heterogeneity between patients than primary tumors while within patients both entities show similar intratumor heterogeneity sometimes organized in zonal pattern. Together our findings give new insights into the spatial proteomic heterogeneity of primary CRC and patient matched liver metastases.
2023-02-17 | PXD039409 | Pride
Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis 21 primary colorectal cancers and 21 matched liver metastases hybridized against sex-matched control pools
2010-07-07 | E-GEOD-10179 | biostudies-arrayexpress
Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis
2010-07-07 | GSE10179 | GEO
Project description:Patients with the microsatellite stable (MSS) subset of colorectal cancer, which accounts for 85-90% of all human colorectal cancer cases, do not respond to PD-(L)1 immune checkpoint inhibitor immunotherapy. Metastasis accounts for over 90% of human colorectal cancer mortality and liver metastasis accounts for 90% of human colorectal cancer metastasis. The mechanism underlying colorectal tumor cell immune evasion and the resultant liver metastasis is incompletely understood. The SUV39H1-H3K9me3 epigenetic pathway has emerged as a key regulator of CTL persistence and effector function in anti-tumor immunity. We therefore aimed at testing the hypothesis that H3K9me3 induces CTL dysfunction to promote colorectal tumor liver metastasis. Using a mouse MSS colon tumor experimental liver metastasis model, we observed that PD-1 blockade immunotherapy does not induce CTL activation in the liver metastases and exhibits no significant efficacy in suppression of liver metastasis. CTL adaptive transfer increased accumulation of the tumor-specific CTLs in liver metastases but also exhibited no significant efficacy in suppression of liver metastasis. However, pharmacological inhibition of H3K9me3-specific histone methyltransferases with the small molecule F5446 significantly suppressed liver metastasis in mice. scRNA-seq analysis of liver metastases-infiltrating immune cells revealed that F5446 therapy does not increased total level of T cell tumor infiltration. Instead, inhibition of H3K9me3 increased Tex and decreased Tcm in liver metastases. Analysis of human colon tumor scRNA-Seq datasets identified Tex, Tcm and Tem-like clusters in both primary and liver metastasis with higher level of Tex subset of T cells in liver metastases than primary tumor. Our findings determine that colon tumor cells induce H3K9me3 to regulate T cell differentiation and effector function in liver metastases microenvironment and targeting H3K9me3 is a promising approach for suppression of CRC liver metastasis.
2025-07-15 | GSE302202 | GEO
Project description:Comparison of expression profiles of primary colorectal cancers with liver metastases of the same patient. Additionally, expression data of normal colon and liver tissue. Abstract of publication will be included upon publication Keywords: expression profiling, colorectal cancer, colon cancer, liver metastasis, normal colonic tissue, normal liver tissue RNA of 18 primary colorectal cancers, 18 matched liver metastases, 7 normal colon epithelium samples and 5 normal liver tissue samples hybridized on Human Sentrix-6 V2 (Illumina)
2010-07-07 | E-GEOD-14297 | biostudies-arrayexpress
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. 57 samples of patients with stage IV colorectal cancer. We compared using Affymetrix chips gene expression profiles between primary tumors and hepatic metastases
2013-09-01 | E-GEOD-49355 | biostudies-arrayexpress
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. 57 samples of patients with stage IV colorectal cancer. We compared using Affymetrix chips gene expression profiles between primary tumors and hepatic metastases
2014-10-15 | E-GEOD-62321 | biostudies-arrayexpress
Project description:Dissemination of primary tumors to distant anatomical sites has a substantial negative impact on patient prognosis. The liver is a common site for metastases from colorectal cancer, and patients with hepatic metastases have generally much shorter survival, raising a need to develop and implement novel strategies for targeting metastatic disease. The extracellular matrix (ECM) is a meshwork of highly crosslinked, insoluble, high molecular weight proteins maintaining tissue integrity and establishing cell-cell interactions. Emerging evidence identifies the importance of the ECM in cancer cell migration, invasion, intravasation, and metastasis. Here, we isolated the extracellular matrix from MC38 mouse liver metastases using our optimized method of mild detergent solubilization followed by biochemical enrichment. The matrices were subjected to label-free quantitative mass spectrometry analysis, revealing proteins highly abundant in the metastatic matrisome. The resulting list of differentially expressed proteins significantly predicted survival in patients with colorectal cancer but not other cancers with strong involvement of the extracellular matrix component. One of the proteins upregulated in liver metastatic ECM, Annexin A1, was not previously studied in the context of cancer-associated matrisome. Here we show that Annexin A1 was markedly upregulated in colon cancer cell lines compared to cancer cells of other origin, and also overrepresented in human primary colorectal lesions as well as hepatic metastases in comparison with their adjacent healthy tissue counterparts. In conclusion, our study provides a comprehensive ECM characterization of MC38 experimental liver metastases and proposes Annexin A1 as a putative target for this disease.
2020-05-26 | PXD013350 | Pride
Project description:Comparison of expression profiles of primary colorectal cancers with liver metastases of the same patient. Additionally, expression data of normal colon and liver tissue. Abstract of publication will be included upon publication Keywords: expression profiling, colorectal cancer, colon cancer, liver metastasis, normal colonic tissue, normal liver tissue
2010-07-07 | GSE14297 | GEO
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
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2024-09-02 | BIOMD0000000793 | BioModels