Dataset Information

Clinical significance of SNORA42 as an oncogene and a prognostic biomarker in colorectal cancer.

ABSTRACT: Despite recent advances in colorectal cancer (CRC) treatment, the prognosis of patients suffering from this malignancy still remains substandard, and metastatic recurrence following curative surgery is the leading cause of mortality. Therefore, it is imperative to identify prognostic markers to predict the clinical outcome of CRC patients. Recent evidence revealed the new role of small nucleolar RNAs (snoRNAs) in oncogenesis. Herein, we systematically evaluated dysregulation of snoRNAs in CRC and clarified their biomarker potential and biological significance in CRC.We analysed expression levels of 4 snoRNAs in 274 colorectal tissues from 3 independent cohorts and 6 colon cancer cell lines. The functional characterisation for the role of SNORA42 in CRC was investigated through a series of in vitro and in vivo experiments.In the screening phase, expression levels of all four snoRNAs were significantly elevated in CRC tissues than in corresponding normal mucosa. In the clinical validation cohort, increased SNORA42 expression was an independent prognostic factor for overall survival and disease-free survival, and was a risk factor for distant metastasis. SNORA42 expression negatively correlated with overall survival in an additional independent cohort and identified the patients with high risk for recurrence and poor prognosis in stage II CRC. Furthermore, in vitro and in vivo analyses showed that SNORA42 overexpression resulted in enhanced cell proliferation, migration, invasion, anoikis resistance and tumorigenicity.SNORA42 appears to be a novel oncogene and could serve as a promising predictive biomarker for recurrence and prognosis in patients with CRC.

SUBMITTER: Okugawa Y

PROVIDER: S-EPMC4860159 | biostudies-other | 2017 Jan

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Clinical significance of SNORA42 as an oncogene and a prognostic biomarker in colorectal cancer.

Okugawa Yoshinaga Y Toiyama Yuji Y Toden Shusuke S Mitoma Hiroki H Nagasaka Takeshi T Tanaka Koji K Inoue Yasuhiro Y Kusunoki Masato M Boland C Richard CR Goel Ajay A

Gut 20151015 1

<h4>Purpose</h4>Despite recent advances in colorectal cancer (CRC) treatment, the prognosis of patients suffering from this malignancy still remains substandard, and metastatic recurrence following curative surgery is the leading cause of mortality. Therefore, it is imperative to identify prognostic markers to predict the clinical outcome of CRC patients. Recent evidence revealed the new role of small nucleolar RNAs (snoRNAs) in oncogenesis. Herein, we systematically evaluated dysregulation of s ...[more]

PMID: 26475630

Similar Datasets

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.

Project description:BackgroundColorectal cancer (CRC) is a common malignant solid tumor with an extremely low survival rate after relapse. Previous investigations have shown that autophagy possesses a crucial function in tumors. However, there is no consensus on the value of autophagy-associated genes in predicting the prognosis of CRC patients. This work screens autophagy-related markers and signaling pathways that may participate in the development of CRC, and establishes a prognostic model of CRC based on autophagy-associated genes.MethodsGene transcripts from the TCGA database and autophagy-associated gene data from the GeneCards database were used to obtain expression levels of autophagy-associated genes, followed by Wilcox tests to screen for autophagy-related differentially expressed genes. Then, 11 key autophagy-associated genes were identified through univariate and multivariate Cox proportional hazard regression analysis and used to establish prognostic models. Additionally, immunohistochemical and CRC cell line data were used to evaluate the results of our three autophagy-associated genes EPHB2, NOL3, and SNAI1 in TCGA. Based on the multivariate Cox analysis, risk scores were calculated and used to classify samples into high-risk and low-risk groups. Kaplan-Meier survival analysis, risk profiling, and independent prognosis analysis were carried out. Receiver operating characteristic analysis was performed to estimate the specificity and sensitivity of the prognostic model. Finally, GSEA, GO, and KEGG analysis were performed to identify the relevant signaling pathways.ResultsA total of 301 autophagy-related genes were differentially expressed in CRC. The areas under the 1-year, 3-year, and 5-year receiver operating characteristic curves of the autophagy-based prognostic model for CRC were 0.764, 0.751, and 0.729, respectively. GSEA analysis of the model showed significant enrichment in several tumor-relevant pathways and cellular protective biological processes. The expression of EPHB2, IL-13, MAP2, RPN2, and TRAF5 was correlated with microsatellite instability (MSI), while the expression of IL-13, RPN2, and TRAF5 was related to tumor mutation burden (TMB). GO analysis showed that the 11 target autophagy genes were chiefly enriched in mRNA processing, RNA splicing, and regulation of the mRNA metabolic process. KEGG analysis showed enrichment mainly in spliceosomes. We constructed a prognostic risk assessment model based on 11 autophagy-related genes in CRC.ConclusionA prognostic risk assessment model based on 11 autophagy-associated genes was constructed in CRC. The new model suggests directions and ideas for evaluating prognosis and provides guidance to choose better treatment strategies for CRC.

Dataset Information

Clinical significance of SNORA42 as an oncogene and a prognostic biomarker in colorectal cancer.

Publications

Clinical significance of SNORA42 as an oncogene and a prognostic biomarker in colorectal cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets