Ontology highlight
ABSTRACT:
PROVIDER: PRJNA911189 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:More than one-half of all colorectal cancer cases and deaths are due to modifiable risk factors, while psychological stress stands out as an important factor with mechanism unclear. Polymorphic microbiomes have pivotal roles in CRC. We therefore explored the impact of chronic stress on CRC, and the involvement of gut microbiome and its metabolites in this process.
2023-12-20 | GSE210896 | GEO
Project description:Phenylacetaldehyde (PAA), a product of phenylalanine metabolism, is catabolized by microbiota and has demonstrated anticancer properties in breast cancer. As intestinal homeostasis is influenced by gut microbiome, we investigated the effect of PAA on colorectal cancer (CRC). In the study, we interrogated the mechanistic pathways induced by PAA treatment using RNA sequencing.
2023-07-11 | GSE207618 | GEO
Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.
2019-12-27 | GSE93286 | GEO
Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.
2019-08-30 | GSE132236 | GEO
Project description:Claret2009 - Predicting phase III overall survival in colorectal cancer
This model is described in the article:
Model-based prediction of
phase III overall survival in colorectal cancer on the basis of
phase II tumor dynamics.
Claret L, Girard P, Hoff PM, Van
Cutsem E, Zuideveld KP, Jorga K, Fagerberg J, Bruno R.
J. Clin. Oncol. 2009 Sep; 27(25):
4103-4108
Abstract:
PURPOSE: We developed a drug-disease simulation model to
predict antitumor response and overall survival in phase III
studies from longitudinal tumor size data in phase II trials.
METHODS: We developed a longitudinal exposure-response
tumor-growth inhibition (TGI) model of drug effect (and
resistance) using phase II data of capecitabine (n = 34) and
historical phase III data of fluorouracil (FU; n = 252) in
colorectal cancer (CRC); and we developed a parametric survival
model that related change in tumor size and patient
characteristics to survival time using historical phase III
data (n = 245). The models were validated in simulation of
antitumor response and survival in an independent phase III
study (n = 1,000 replicates) of capecitabine versus FU in CRC.
RESULTS: The TGI model provided a good fit of longitudinal
tumor size data. A lognormal distribution best described the
survival time, and baseline tumor size and change in tumor size
from baseline at week 7 were predictors (P < .00001).
Predicted change of tumor size and survival time distributions
in the phase III study for both capecitabine and FU were
consistent with observed values, for example, 431 days (90%
prediction interval, 362 to 514 days) versus 401 days observed
for survival in the capecitabine arm. A modest survival
improvement of 39 days (90% prediction interval, -21 to 110
days) versus 35 days observed was predicted for capecitabine.
CONCLUSION: The modeling framework successfully predicted
survival in a phase III trial on the basis of capecitabine
phase II data in CRC. It is a useful tool to support
end-of-phase II decisions and design of phase III studies.
This model is hosted on
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MODEL1708310001.
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2017-08-31 | MODEL1708310001 | BioModels
Project description:Identifying the exact molecules associated with CRC metastasis may be crucial to understand the process, which might also be translated to the diagnosis and treatment of CRC. In this study, we investigate the association of microRNA expression patterns with the lymph node metastasis of colorectal cancer. To investigate the association of microRNA expression patterns with the lymph node metastasis of colorectal cancer, eight primary colorectal cancer tissues derived from stage II–III colorectal cancer patients with (n = 4) or without (n = 4) lymph node metastasis were collected and the miRNA expression profiles of them were determined using Agilent miRNA microarray. Different miRNA expression profiles were identified in CRC tissues between lymph node metastasis positive and negative group.
2013-12-31 | E-GEOD-48074 | biostudies-arrayexpress
Project description:The purpose of this study is to identify miRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 39 miRNAs were identified to be differentially expressed between 16 primary CRC tissues with liver metastases and 16 CRC tissues without liver metastases from 32 patients by Affymetric miRNA microarrays. 16 coloretcal cancer tissues with liver metastasis and 16 colorectal cancer tissues without liver metastasis were included in this study for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify the differentially expressed miRNAs between colorectal cancer tissues with and without liver metastasis.
2013-12-10 | E-GEOD-53159 | biostudies-arrayexpress
Project description:Epidemiological studies have indicated an association between statin use and reduced incidence of colorectal cancer (CRC), and work in preclinical models has demonstrated a potential chemopreventive effect. Statins are also associated with reduced dysbiosis in the gut microbiome, yet the role of the gut microbiome in the protective effect of statins in CRC is unclear. Here we validated the chemopreventive role of statins by retrospectively analysing a cohort of patients who underwent colonoscopies. This was confirmed in preclinical models and patient cohorts, and we found that reduced tumour burden was partly due to statin modulation of the gut microbiota. Specifically, the gut commensal Lactobacillus reuteri was increased as a result of increased microbial tryptophan availability in the gut after atorvastatin treatment. Our in vivo studies further revealed that L. reuteri administration suppressed colorectal tumorigenesis via the tryptophan catabolite, indole-3-lactic acid (ILA). ILA exerted anti-tumorigenic effects by downregulating the IL-17 signalling pathway. This microbial metabolite inhibited T helper 17 cell differentiation by targeting the nuclear receptor, RAR-related orphan receptor γt (RORγt). Together, our study provides insights into an anti-cancer mechanism driven by statin use and suggests that interventions with L. reuteri or ILA could complement chemoprevention strategies for CRC.
2023-02-17 | GSE201449 | GEO
Project description:Epidemiological studies have indicated an association between statin use and reduced incidence of colorectal cancer (CRC), and work in preclinical models has demonstrated a potential chemopreventive effect. Statins are also associated with reduced dysbiosis in the gut microbiome, yet the role of the gut microbiome in the protective effect of statins in CRC is unclear. Here we validated the chemopreventive role of statins by retrospectively analysing a cohort of patients who underwent colonoscopies. This was confirmed in preclinical models and patient cohorts, and we found that reduced tumour burden was partly due to statin modulation of the gut microbiota. Specifically, the gut commensal Lactobacillus reuteri was increased as a result of increased microbial tryptophan availability in the gut after atorvastatin treatment. Our in vivo studies further revealed that L. reuteri administration suppressed colorectal tumorigenesis via the tryptophan catabolite, indole-3-lactic acid (ILA). ILA exerted anti-tumorigenic effects by downregulating the IL-17 signalling pathway. This microbial metabolite inhibited T helper 17 cell differentiation by targeting the nuclear receptor, RAR-related orphan receptor γt (RORγt). Together, our study provides insights into an anti-cancer mechanism driven by statin use and suggests that interventions with L. reuteri or ILA could complement chemoprevention strategies for CRC.
2023-02-17 | GSE201448 | GEO
Project description:Epidemiological studies have indicated an association between statin use and reduced incidence of colorectal cancer (CRC), and work in preclinical models has demonstrated a potential chemopreventive effect. Statins are also associated with reduced dysbiosis in the gut microbiome, yet the role of the gut microbiome in the protective effect of statins in CRC is unclear. Here we validated the chemopreventive role of statins by retrospectively analysing a cohort of patients who underwent colonoscopies. This was confirmed in preclinical models and patient cohorts, and we found that reduced tumour burden was partly due to statin modulation of the gut microbiota. Specifically, the gut commensal Lactobacillus reuteri was increased as a result of increased microbial tryptophan availability in the gut after atorvastatin treatment. Our in vivo studies further revealed that L. reuteri administration suppressed colorectal tumorigenesis via the tryptophan catabolite, indole-3-lactic acid (ILA). ILA exerted anti-tumorigenic effects by downregulating the IL-17 signalling pathway. This microbial metabolite inhibited T helper 17 cell differentiation by targeting the nuclear receptor, RAR-related orphan receptor γt (RORγt). Together, our study provides insights into an anti-cancer mechanism driven by statin use and suggests that interventions with L. reuteri or ILA could complement chemoprevention strategies for CRC.
2023-02-17 | GSE201452 | GEO