Dataset Information

Proteomic analysis reveals that Odoroside A triggers G2/M arrest and apoptosis in colorectal carcinoma through ROS-p53 pathway

ABSTRACT: Colorectal cancer (CRC) is one of the most common cancers worldwide with poor survival and limited therapeutic options. There is an urgent need for developing novel therapeutic agents against CRC with good treatment efficiency and low toxicity. Odoroside A (OA) is an active compound isolated from the leaves of Nerium oleander Linn. (Apocynaceae). This study aims to examine the anticancer bioactivity of OA against CRC cells and to investigate the action mechanisms involved. As a result, OA was found to induce apoptosis and exert a significant inhibitory effect on the proliferation and colony-forming ability of CRC cells in a dose-dependent manner without any significant cytotoxicity in normal colorectal epithelial cells. Mechanistically, quantitative proteomics coupled with bioinformatics was performed to explore the OA-regulated proteins and signaling pathways. As suggested by the proteomic analysis, Western blot analysis and flow cytometry validated that exposure of CRC cells to OA caused cell cycle arrest and apoptosis, accompanied with the activation of the ROS/p53 signaling pathway. This observation demonstrated that OA, as a natural product, can induce ROS to suppress tumor cell growth, implicating a novel therapeutic agent against CRC without obvious side effects.

ORGANISM(S): Homo Sapiens

SUBMITTER: Qingyu He

PROVIDER: PXD012252 | iProX | Wed Jan 09 00:00:00 GMT 2019

REPOSITORIES: iProX

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Proteomic Analysis Reveals that Odoroside A Triggers G2/M Arrest and Apoptosis in Colorectal Carcinoma Through ROS-p53 Pathway.

Chen Yan-Yan YY Wen Shi-Yuan SY Deng Chun-Miao CM Yin Xing-Feng XF Sun Zheng-Hua ZH Jiang Miao-Miao MM He Qing-Yu QY

Proteomics 20190718 15

Odoroside A (OA) is an active ingredient extracted from the leaves of Nerium oleander Linn. (Apocynaceae). This study aims to examine the anticancer bioactivity of OA against CRC cells and to investigate the action mechanisms involved. As a result, OA can significantly inhibit cellular ability and induce apoptosis of CRC cells in a concentration-dependent manner without any obvious cytotoxicity in normal colorectal epithelial cells. Then, quantitative proteomics combined with bioinformatics is a ...[more]

PMID: 31294914

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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.

Dataset Information

Proteomic analysis reveals that Odoroside A triggers G2/M arrest and apoptosis in colorectal carcinoma through ROS-p53 pathway

Publications

Proteomic Analysis Reveals that Odoroside A Triggers G2/M Arrest and Apoptosis in Colorectal Carcinoma Through ROS-p53 Pathway.

Similar Datasets

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