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The LIM protein AJUBA promotes colorectal cancer cell survival through suppression of JAK1/STAT1/IFIT2 network

ABSTRACT: Background and Aims: The LIM protein AJUBA participates in the regulation of cell adhesion, mitosis, DNA damage, cell differentiation, proliferation, migration and gene transcription, yet its roles in tumor development and progression are poorly defined. The aim is to determine the role of AJUBA in colorectal tumorigenesis. Methods: We performed data mining in Oncomine databases and immunohistochemistry (IHC) assays on 67 paired colorectal cancer (CRC) samples; we manipulated the AJUBA expression in SW-1116 and Caco-2 cells using specific shRNA and overexpression plasmids and performed assays for cell viability, cell cycle and apoptosis; we performed RNA-seq and qRT-PCR assays to identify genes regulated by AJUBA; we performed western blot, co-immunoprecipitation assays to study the interaction of AJUBA and JAK/STAT; Results: We discovered that AJUBA is highly expressed in CRC and promotes CRC cell growth in culture and in xenograted mice via an inhibition of apoptosis by repression of the IFIT2 gene. AJUBA specifically binds the FERM domain of JAK1 to dissociate JAK1 from the IFNγ recepter, resulted in inhibition of STAT1 phosporylation and concomitantly its nuclear translocation. Clinically, the level of AJUBA in CRC specimens is negatively correlated with the levels of IFIT2 and pSTAT1. Conclusion: Ajuba functions as a specific suppressor of the Interferon-activated JAK1/STAT1 signaling to promote colorectal cancer development via an inhibition of Interferon induced apoptosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE84902 | GEO | 2017/02/23

SECONDARY ACCESSION(S): PRJNA335606

REPOSITORIES: GEO

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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 BioModels Database and identified by: MODEL1708310001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC). Experimental Design: The expression profiles of cancer cells in 104 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells especially in patients with distant metastasis was a prerequisite to select candidate genes. The mRNA expression of candidate gene was investigated by quantitative reversetranscription polymerase chain reaction (RT-PCR) in 77 patients as a validation study. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study, and investigated the relationship between the expression and the clinicopathological feature in 274 CRC patients. Results: We identified 6 genes as candidates related to distant metastasis in CRC patients by microarray analysis. Among these genes, Osteoprotegerin (OPG) is known to have an association with aggressiveness in several cancers through inhibiting apoptosis by neutralizing the function of tumor necrosis factor related apoptosis inducing ligand (TRAIL). The mRNA expression of OPG in cancer tissues was significantly higher in patients with distant metastasis than those without metastasis. The overexpression of OPG protein was significantly associated with worse overall survival and relapse free survival (RFS). Moreover, the overexpression of OPG protein was an independent risk factor for recurrence of CRC. Conclusion: The overexpression of OPG would be a predictive biomarker of recurrence and a target of the treatment for CRC. Total of 148 microarray datasets obtained from LCM and homogenized tissues of colorectal cancer patients were normalized using robust multi-array average (RMA) method under R 2.6.2 statistical software with affy package from BioConductor. Normalization was separately performed for LCM dataset and homogenized tissue dataset. The normalized gene expression levels were presented as log2-transformed values by RMA.

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The LIM protein AJUBA promotes colorectal cancer cell survival through suppression of JAK1/STAT1/IFIT2 network

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