Chemoprevention of Colorectal Cancer: the Role of Non-digestible Carbohydrates
Ontology highlight
ABSTRACT:
DISEASE(S): Colorectal Cancer,Colorectal Neoplasms
PROVIDER: 2096076 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
Similar Datasets
Project description:Colorectal cancer is a common disease worldwide. Increasing evidence is demonstrating that colorectal cancers arise from ‘cancer stem cells.’ Stem cells in the colon reside at the bottom of thousands of microscopic crypts throughout the wall of the colon. They create all the cells lining the bowel wall. These cells are created in the base of the crypt and ascend to the top acquiring the characteristics of mature cells of the bowel wall as they ascend.
It is now thought that colorectal cancer cells arise from stem cells where the genetic material regulating growth and division of the stem cell has become defective. This leads to unregulated production of cells which in turn have defective genetic information and cancer formation.
Prior studies have demonstrated that the earliest changes before a cancer develops are changes in cellular proliferation. Now that reliable markers to identify stem cells have been found, the researchers aim to investigate stem cell numbers and changes in distribution in those at normal risk of colorectal cancer and those at higher risk. The researchers hypothesise that changes in cellular proliferation at the top of the crypt in individuals at higher risk of colorectal cancer are due to a change in the number of stem cells in the crypt base.
| 2085480 | ecrin-mdr-crc
Project description:Colorectal cancer remains the leading cause of cancer death worldwide. The 5-year annual survival is less than half of the incidence rate that is predominantly due to late diagnosis of the disease striking the very urgent clinical necessity for biomarkers capable of detecting cancer malignancy at an early onset. During neoplastic transformation, cells undergo several behavioral changes that subsequently result in defects in cell division, immune tolerance, inflammation, and cellular death mechanisms. These processes lead to the development of tumor antigens (TA) that evoke an immune response and subsequent generation of antibodies against self-proteins, called autoantibodies (AAbs). This study aims to identify autoantibody biomarkers in patient’s sera for early screening of the cancer. High-density human proteome array having approximately 17,000 full-length recombinant human proteins were used in the study. The generation of an autoimmune response against important cancer-linked pathways could be important in terms of screening for the disease. The process of immune surveillance starts as tumorigenesis begins and hence autoantibodies can be detected in a very early stage of cancer. Moreover, AAbs can be easily extracted from blood serum through the least invasive test for disease screening.
2022-12-07 | E-MTAB-12081 | biostudies-arrayexpress
Project description:This model describes the concept of Cancer Stem Cells(CSC) differentiation and tumor-immune interaction into a generic model that has been validated with known experimental data. Created by COPASI 4.24(Build197)
Abstract:
The tumor microenvironment comprising of the immune cells and cytokines acts as the 'soil' that nourishes a developing tumor. Lack of a comprehensive study of the interactions of this tumor microenvironment with the heterogeneous sub-population of tumor cells that arise from the differentiation of Cancer Stem Cells (CSC), i.e. the 'seed', has limited our understanding of the development of drug resistance and treatment failures in Cancer. Based on this seed and soil hypothesis, for the very first time, we have captured the concept of CSC differentiation and tumor-immune interaction into a generic model that has been validated with known experimental data. Using this model we report that as the CSC differentiation shifts from symmetric to asymmetric pattern, resistant cancer cells start accumulating in the tumor that makes it refractory to therapeutic interventions. Model analyses unveiled the presence of feedback loops that establish the dual role of M2 macrophages in regulating tumor proliferation. The study further revealed oscillations in the tumor sub-populations in the presence of TH1 derived IFN-γ that eliminates CSC; and the role of IL10 feedback in the regulation of TH1/TH2 ratio. These analyses expose important observations that are indicative of Cancer prognosis. Further, the model has been used for testing known treatment protocols to explore the reasons of failure of conventional treatment strategies and propose an improvised protocol that shows promising results in suppressing the proliferation of all the cellular sub-populations of the tumor and restoring a healthy TH1/TH2 ratio that assures better Cancer remission.
2024-09-02 | BIOMD0000000810 | BioModels
Project description:This a model from the article:
A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment
Fereshteh Nazari, Alexander T. Pearson, Jacques Eduardo Nor, Trachette L. Jackson. PloS Computational Biology, 2018 Jan.
Abstract:
Targeting key regulators of the cancer stem cell phenotype to overcome their critical influence on tumor growth is a promising new strategy for cancer treatment. Here we present a modeling framework that operates at both the cellular and molecular levels, for investigating IL-6 mediated, cancer stem cell driven tumor growth and targeted treatment with anti-IL6 antibodies. Our immediate goal is to quantify the influence of IL-6 on cancer stem cell self-renewal and survival, and to characterize the subsequent impact on tumor growth dynamics. By including the molecular details of IL-6 binding, we are able to quantify the temporal changes in fractional occupancies of bound receptors and their influence on tumor volume. There is a strong correlation between the model output and experimental data for primary tumor xenografts. We also used the model to predict tumor response to administration of the humanized IL-6R monoclonal antibody, tocilizumab (TCZ), and we found that as little as 1mg/kg of TCZ administered weekly for 7 weeks is sufficient to result in tumor reduction and a sustained deceleration of tumor growth.
Author Summary:
A small population of cancer stem cells that share many of the biological characteristics of normal adult stem cells are believed to initiate and sustain tumor growth for a wide variety of malignancies. Growth and survival of these cancer stem cells is highly influenced by tumor micro-environmental factors and molecular signaling initiated by cytokines and growth factors. This work focuses on quantifying the influence of IL-6, a pleiotropic cytokine secreted by a variety of cell types, on cancer stem cell self-renewal and survival. We present a mathematical model for IL-6 mediated, cancer stem cell driven tumor growth that operates at the following levels: (1) the molecular level—capturing cell surface dynamics of receptor-ligand binding and receptor activation that lead to intra-cellular signal transduction cascades; and (2) the cellular level—describing tumor growth, cellular composition, and response to treatments targeted against IL-6.
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2024-09-02 | BIOMD0000000819 | BioModels
Project description:Stem cells establish cortical polarity and divide asymmetrically to simultaneously maintain themselves and generate differentiating offspring cells. Several chromatin modifiers have been identified as stemness factors in mammalian pluripotent stem cells, but whether these factors control stem cell polarity and asymmetric division has not been investigated so far. We addressed this question in Drosophila neural stem cells called neuroblasts. We identified the Tip60 chromatin remodeling complex and its interaction partner Myc to regulate target genes required for neuroblast maintenance. Knockdown of members of this complex results in loss of cortical polarity, symmetric neuroblast division and premature differentiation through nuclear entry of the transcription factor Prospero. We found that aPKC is the key target gene of Myc and the Tip60 complex subunit Domino regulating neuroblast polarity. Our transcriptome analysis further showed that Domino regulates the expression of mitotic spindle genes which were identified before as direct Myc targets. Our findings reveal an evolutionarily conserved functional link between Myc, the Tip60 complex and the molecular network controlling cell polarity and asymmetric cell division.
2018-07-06 | PXD009939 | Pride
Project description:Cancer stem cells associated miRNAs serve as prognostic biomarkers in colorectal cancer
| PRJNA517925 | ENA
Project description:Using primary cultures of normal human prostate epithelial cells, we developed a novel prostasphere-based, label-retention assay that permits identification and isolation of stem cells at a single cell level. Their bona fide stem cell nature was confirmed using in vitro and in vivo regenerative assays and documentation of symmetric/asymmetric division. Robust WNT10B and KRT13 expression without E-cadherin or KRT14 staining distinguished individual stem cells from daughter progenitors in spheroids. Following FACS to separate stem and progenitor cells, RNA-seq identified unique gene signatures for the separate populations which may serve as biomarkers. Pathways enrichment in stem cells identified ribosome biogenesis and membrane estrogen-receptor signaling with NFĸB signaling enriched in progenitors and these were biologically confirmed. Further, bioassays identified heightened autophagy flux and reduced metabolism in stem cells relative to progenitors. These approaches similarly identified cancer stem-like cells from prostate cancer specimens and prostate, breast and colon cancer cell lines suggesting wide applicability. Together, the present studies isolate and identify unique characteristics of normal human prostate stem cells and uncover processes that maintain stem cell homeostasis in the prostate gland.
2018-01-15 | GSE95542 | GEO
Project description:Microarray analysis is a useful methodology to identify target genes modulated by anticancer drugs. Here, celecoxib effect on gene expression profiles was evaluated in the modified resistant hepatocyte model. Animals subjected to carcinogenic treatment were fed with diet containing 1500 ppm of celecoxib. Two schemes of celecoxib administration were designed. In the progression protocol, celecoxib was administrated between days 18 and 25 post-cancer initiation, a total of 8 celecoxib treatment days, when well established preneoplastic lesions starts to appear. In the initiation protocol, celecoxib was administrated from one week before until 25 days after of cancer initiation, a total of 32 celecoxib treatment days. A rat group was subjected only to the carcinogenic treatment as cancer positive control. Gene expression profiles of all groups were compared to a negative untreated control. The evaluation of gene expression profiles permitted us to identify new target genes that are modulated by celecoxib treatment. A possible mechanism of celecoxib chemoprevention of hepatocarcinogenesis is proposed. 9 weeks old Sprague Dawley rats, 4 rats per group, were subjected to Semple-Roberts' modified hepatocarcinogenesis protocol and sacrificed 25 days post-initiation. In celecoxib-treated groups, celecoxib was administrated mixed in diet at 1500 ppm. Negative and positive cancer progression controls were included to compare gene expression profiles. Microarray analysis was performed on liver samples, one replicate per rat, using dye swap.
2009-07-10 | E-GEOD-12112 | biostudies-arrayexpress
Project description:Microarray analysis is a useful methodology to identify target genes modulated by anticancer drugs. Here, celecoxib effect on gene expression profiles was evaluated in the modified resistant hepatocyte model. Animals subjected to carcinogenic treatment were fed with diet containing 1500 ppm of celecoxib. Two schemes of celecoxib administration were designed. In the progression protocol, celecoxib was administrated between days 18 and 25 post-cancer initiation, a total of 8 celecoxib treatment days, when well established preneoplastic lesions starts to appear. In the initiation protocol, celecoxib was administrated from one week before until 25 days after of cancer initiation, a total of 32 celecoxib treatment days. A rat group was subjected only to the carcinogenic treatment as cancer positive control. Gene expression profiles of all groups were compared to a negative untreated control. The evaluation of gene expression profiles permitted us to identify new target genes that are modulated by celecoxib treatment. A possible mechanism of celecoxib chemoprevention of hepatocarcinogenesis is proposed.
2009-07-10 | GSE12112 | GEO
Project description:Regulating stem cell-related genes induces the plastic differentiation of cancer stem cells to treat cancer
| PRJNA476106 | ENA