Browse
Submit Data
Databases
API
Help

Dataset Information

26 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

AKT-dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer.

ABSTRACT: Recently, a transcriptome-based consensus molecular subtype (CMS) classification of colorectal cancer (CRC) has been established, which may ultimately help to individualize CRC therapy. However, the lack of animal models that faithfully recapitulate the different molecular subtypes impedes adequate preclinical testing of stratified therapeutic concepts. Here, we demonstrate that constitutive AKT activation in intestinal epithelial cells markedly enhances tumor invasion and metastasis in Trp53ΔIEC mice (Trp53ΔIECAktE17K) upon challenge with the carcinogen azoxymethane. Gene-expression profiling indicates that Trp53ΔIECAktE17K tumors resemble the human mesenchymal colorectal cancer subtype (CMS4), which is characterized by the poorest survival rate among the four CMSs. Trp53ΔIECAktE17K tumor cells are characterized by Notch3 up-regulation, and treatment of Trp53ΔIECAktE17K mice with a NOTCH3-inhibiting antibody reduces invasion and metastasis. In CRC patients, NOTCH3 expression correlates positively with tumor grading and the presence of lymph node as well as distant metastases and is specifically up-regulated in CMS4 tumors. Therefore, we suggest NOTCH3 as a putative target for advanced CMS4 CRC patients.

SUBMITTER: Varga J

PROVIDER: S-EPMC7537393 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

AKT dependent Notch3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype

Project description:Recently a consensus molecular subtype (CMS) classification of colorectal cancer (CRC) has been established that is based on the transcriptional rather than the genetic profile of an individual tumor and which may ultimately help to individualize CRC therapy. So far, however, the lack of appropriate animal models that faithfully recapitulate the different molecular subtypes impedes adequate preclinical testing of stratified therapeutic concepts. Here we demonstrate that constitutive AKT activation in intestinal epithelial cells markedly enhances colonic tumor invasion and metastasis in Trp53DIEC mice (Trp53ΔIECAktE17K) upon challenge with the carcinogen azoxymethane (AOM). Gene-expression profiling indicates that Trp53ΔIECAktE17K tumors closely resemble the human mesenchymal colorectal cancer subtype (CMS4), which is characterized by the poorest survival rate among the four consensus molecular subtypes of CRC. Trp53ΔIECAktE17K tumors are further characterized by a NOTCH pathway gene signature and a distinct cell autonomous upregulation of Notch3 in tumor epithelia while treatment of Trp53ΔIECAktE17K mice with a NOTCH3-inhibiting antibody reduces invasion and metastasis. Conversely, selective activation of NOTCH3 by overexpression of NOTCH3-IC in Akt wt tumor organoids strongly promotes development of metastasis in an orthotopic transplantation model. In CRC patients NOTCH3 expression correlates positively with tumor grading and the presence of lymph node as well as distant metastases and is specifically upregulated in CMS4 tumors. Therefore, we suggest NOTCH3 as a putative target for advanced CMS4 CRC patients.

2021-09-08 | PXD014778 | Pride

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-07-29 | GSE136257 | GEO

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2015]

2020-07-29 | GSE136254 | GEO

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2016]

2020-07-29 | GSE136218 | GEO

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype

Project description:AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype

| PRJNA561767 | ENA

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2016]

Project description:AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2016]

| PRJNA561616 | ENA

AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2015]

Project description:AKT dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer subtype [2015]

| PRJNA561770 | ENA

Notch3 drives development and progression of cholangiocarcinoma.

Project description:The prognosis of cholangiocarcinoma (CC) is dismal. Notch has been identified as a potential driver; forced exogenous overexpression of Notch1 in hepatocytes results in the formation of biliary tumors. In human disease, however, it is unknown which components of the endogenously signaling pathway are required for tumorigenesis, how these orchestrate cancer, and how they can be targeted for therapy. Here we characterize Notch in human-resected CC, a toxin-driven model in rats, and a transgenic mouse model in which p53 deletion is targeted to biliary epithelia and CC induced using the hepatocarcinogen thioacetamide. We find that across species, the atypical receptor NOTCH3 is differentially overexpressed; it is progressively up-regulated with disease development and promotes tumor cell survival via activation of PI3k-Akt. We use genetic KO studies to show that tumor growth significantly attenuates after Notch3 deletion and demonstrate signaling occurs via a noncanonical pathway independent of the mediator of classical Notch, Recombinant Signal Binding Protein for Immunoglobulin Kappa J Region (RBPJ). These data present an opportunity in this aggressive cancer to selectively target Notch, bypassing toxicities known to be RBPJ dependent.

| S-EPMC5086988 | biostudies-literature

Activation of PI3K/Akt/mTOR signaling in the tumor stroma drives endocrine therapy-dependent breast tumor regression.

Project description:Improved efficacy of neoadjuvant endocrine-targeting therapies in luminal breast carcinomas could be achieved with optimal use of pathway targeting agents. In a mouse model of ductal breast carcinoma we identify a tumor regressive stromal reaction that is induced by neoadjuvant endocrine therapy. This reparative reaction is characterized by tumor neovascularization accompanied by infiltration of immune cells and carcinoma-associated fibroblasts that stain for phosphorylated ribosomal protein S6 (pS6), downstream the PI3K/Akt/mTOR pathway. While tumor variants with higher PI3K/Akt/mTOR activity respond well to a combination of endocrine and PI3K/Akt/mTOR inhibitors, tumor variants with lower PI3K/Akt/mTOR activity respond more poorly to the combination therapy than to the endocrine therapy alone, associated with inhibition of stromal pS6 and the reparative reaction. In human breast cancer xenografts we confirm that such differential sensitivity to therapy is primarily determined by the level of PI3K/Akt/mTOR in tumor cells. We further show that the clinical response of breast cancer patients undergoing neoadjuvant endocrine therapy is associated with the reparative stromal reaction. We conclude that tumor level and localization of pS6 are associated with therapeutic response in breast cancer and represent biomarkers to distinguish which tumors will benefit from the incorporation of PI3K/Akt/mTOR inhibitors with neoadjuvant endocrine therapy.

| S-EPMC4673148 | biostudies-literature

IL-17 induces AKT-dependent IL-6/JAK2/STAT3 activation and tumor progression in hepatocellular carcinoma.

Project description:BACKGROUND: The Th17 subset and IL-17 have been found in increased frequencies within certain tumors. However, their relevance in cancer biology remains controversial. This study aimed to clarify the biological action of IL-17 on hepatocellular carcinoma (HCC). METHODS: Effects and underlying molecular mechanisms of IL-17 on human HCC were explored in vitro using exogenous IL-17 stimulation and in nude mice by implanting IL-17 overexpressed HCC cells. The clinical significance of IL-17 was investigated in tissue microarrays containing HCC tissues from 323 patients following hepatectomy using immunohistochemistry. RESULTS: Although exogenous IL-17 showed no direct effect on the growth rate of HCC cells in vitro, PCR and ELISA showed that IL-17 selectively augmented the secretion of diverse proinvasive factors and transwell showed a direct promotion of invasion of HCC cells by IL-17. Furthermore, transfection of IL-17 into HCC cells significantly promoted neoangiogenesis, neutrophil recruitment and tumor growth in vivo. Using siRNA mediated knockdown of AKT and STAT3, we suggested that the effects of IL-17 were operated through activation of the AKT signaling in HCC, which resulted in IL-6 production. Then, IL-6 in turn activated JAK2/STAT3 signaling and subsequently up-regulated its downstream targets IL-8, MMP2, and VEGF. Supporting these findings, in human HCC tissues, immunostaining indicated that IL-17 expression was significantly and positively associated with STAT3 phosphorylation, neutrophil infiltration and increased tumor vascularity. The clinical significance of IL-17 was authenticated by revealing that the combination of intratumoral IL-17+ cells and phospho-STAT3 served as a better prognosticator for postoperative tumor recurrence than either marker alone. CONCLUSIONS: IL-17 mediated tumor-promoting role involves a direct effect on HCC cells through IL-6/JAK2/STAT3 induction by activating the AKT pathway.

| S-EPMC3310750 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data