101
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Cha DJ, Franklin JL, Dou Y, Liu Q, Higginbotham JN, Demory Beckler M, Weaver AM, Vickers K, Prasad N, Levy S, Zhang B, Coffey RJ, Patton JG. KRAS-dependent sorting of miRNA to exosomes. eLife 2015. [PMID: 26132860 DOI: 10.7554/elife07197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Mutant KRAS colorectal cancer (CRC) cells release protein-laden exosomes that can alter the tumor microenvironment. To test whether exosomal RNAs also contribute to changes in gene expression in recipient cells, and whether mutant KRAS might regulate the composition of secreted microRNAs (miRNAs), we compared small RNAs of cells and matched exosomes from isogenic CRC cell lines differing only in KRAS status. We show that exosomal profiles are distinct from cellular profiles, and mutant exosomes cluster separately from wild-type KRAS exosomes. miR-10b was selectively increased in wild-type exosomes, while miR-100 was increased in mutant exosomes. Neutral sphingomyelinase inhibition caused accumulation of miR-100 only in mutant cells, suggesting KRAS-dependent miRNA export. In Transwell co-culture experiments, mutant donor cells conferred miR-100-mediated target repression in wild-type-recipient cells. These findings suggest that extracellular miRNAs can function in target cells and uncover a potential new mode of action for mutant KRAS in CRC.
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Affiliation(s)
- Diana J Cha
- Department of Biological Sciences, Vanderbilt University Medical Center, Nashville, United States
| | - Jeffrey L Franklin
- Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
| | - Yongchao Dou
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States
| | - Qi Liu
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States
| | - James N Higginbotham
- Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
| | | | - Alissa M Weaver
- Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
| | - Kasey Vickers
- Department of Cardiology, Vanderbilt University Medical Center, Nashville, United States
| | - Nirpesh Prasad
- HudsonAlpha Institute for Biotechnology, Huntsville, United States
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, United States
| | - Bing Zhang
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States
| | - Robert J Coffey
- Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, United States
| | - James G Patton
- Department of Biological Sciences, Vanderbilt University Medical Center, Nashville, United States
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102
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Wang Z, Xu W, Liu Y. Integrating full spectrum of sequence features into predicting functional microRNA-mRNA interactions. Bioinformatics 2015; 31:3529-36. [PMID: 26130578 DOI: 10.1093/bioinformatics/btv392] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 06/23/2015] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION MicroRNAs (miRNAs) play important roles in general biological processes and diseases pathogenesis. Identifying miRNA target genes is an essential step to fully understand the regulatory effects of miRNAs. Many computational methods based on the sequence complementary rules and the miRNA and mRNA expression profiles have been developed for this purpose. It is noted that there have been many sequence features of miRNA targets available, including the context features of the target sites, the thermodynamic stability and the accessibility energy for miRNA-mRNA interaction. However, most of current computational methods that combine sequence and expression information do not effectively integrate full spectrum of these features; instead, they perceive putative miRNA-mRNA interactions from sequence-based prediction as equally meaningful. Therefore, these sequence features have not been fully utilized for improving miRNA target prediction. RESULTS We propose a novel regularized regression approach that is based on the adaptive Lasso procedure for detecting functional miRNA-mRNA interactions. Our method fully takes into account the gene sequence features and the miRNA and mRNA expression profiles. Given a set of sequence features for each putative miRNA-mRNA interaction and their expression values, our model quantifies the down-regulation effect of each miRNA on its targets while simultaneously estimating the contribution of each sequence feature to predicting functional miRNA-mRNA interactions. By applying our model to the expression datasets from two cancer studies, we have demonstrated our prediction results have achieved better sensitivity and specificity and are more biologically meaningful compared with those based on other methods. AVAILABILITY AND IMPLEMENTATION The source code is available at: http://nba.uth.tmc.edu/homepage/liu/miRNALasso. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. CONTACT Yin.Liu@uth.tmc.edu.
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Affiliation(s)
- Zixing Wang
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston and
| | - Wenlong Xu
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston and
| | - Yin Liu
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston and University of Texas Graduate School of Biomedical Sciences, Houston, Texas, USA
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103
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miR-186 regulation of Twist1 and ovarian cancer sensitivity to cisplatin. Oncogene 2015; 35:323-32. [PMID: 25867064 DOI: 10.1038/onc.2015.84] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Revised: 01/24/2015] [Accepted: 02/22/2015] [Indexed: 12/17/2022]
Abstract
Epithelial-mesenchymal transition (EMT) has an established role in promoting tumor progression and the acquisition of therapeutic resistance. Here, the EMT phenotype was detected in cisplatin-resistant ovarian cancer tissues and cell lines, and correlated with decreased miR-186 expression, increased Twist1 expression, chemoresistance and poor prognosis in epithelial ovarian cancer (EOC) patients. Introducing miR-186 into EOC cells led to a reduction in twist family bHLH transcription factor 1 (Twist1) expression along with morphological, functional and molecular changes consistent with mesenchymal-to-epithelial transition, G1 cell-cycle arrest and enhanced cell apoptosis, which consequently rendered the cells more sensitive to cisplatin in vitro and in vivo. Furthermore, luciferase reporter and rescue assay results showed that the EMT and drug resistance reversal in response to miR-186 was mediated by Twist1. Collectively, these findings implicate miR-186 as an attractive candidate for overcoming chemoresistance in ovarian cancer therapy.
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104
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105
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Wang Z, Xu W, Zhu H, Liu Y. A Bayesian Framework to Improve MicroRNA Target Prediction by Incorporating External Information. Cancer Inform 2014; 13:19-25. [PMID: 25452690 PMCID: PMC4238384 DOI: 10.4137/cin.s16348] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Revised: 10/14/2014] [Accepted: 10/16/2014] [Indexed: 01/10/2023] Open
Abstract
MicroRNAs (miRNAs) are small regulatory RNAs that play key gene-regulatory roles in diverse biological processes, particularly in cancer development. Therefore, inferring miRNA targets is an essential step to fully understanding the functional properties of miRNA actions in regulating tumorigenesis. Bayesian linear regression modeling has been proposed for identifying the interactions between miRNAs and mRNAs on the basis of the integrated sequence information and matched miRNA and mRNA expression data; however, this approach does not use the full spectrum of available features of putative miRNA targets. In this study, we integrated four important sequence and structural features of miRNA targeting with paired miRNA and mRNA expression data to improve miRNA-target prediction in a Bayesian framework. We have applied this approach to a gene-expression study of liver cancer patients and examined the posterior probability of each miRNA-mRNA interaction being functional in the development of liver cancer. Our method achieved better performance, in terms of the number of true targets identified, than did other methods.
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Affiliation(s)
- Zixing Wang
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wenlong Xu
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Haifeng Zhu
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yin Liu
- Department of Neurobiology and Anatomy, University of Texas Health Science Center at Houston, Houston, TX, USA. ; University of Texas Graduate School of Biomedical Science, Houston, TX, USA
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106
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Deng L, Shang L, Bai S, Chen J, He X, Martin-Trevino R, Chen S, Li XY, Meng X, Yu B, Wang X, Liu Y, McDermott SP, Ariazi AE, Ginestier C, Ibarra I, Ke J, Luther T, Clouthier SG, Xu L, Shan G, Song E, Yao H, Hannon GJ, Weiss SJ, Wicha MS, Liu S. MicroRNA100 inhibits self-renewal of breast cancer stem-like cells and breast tumor development. Cancer Res 2014; 74:6648-60. [PMID: 25217527 PMCID: PMC4370193 DOI: 10.1158/0008-5472.can-13-3710] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
miRNAs are essential for self-renewal and differentiation of normal and malignant stem cells by regulating the expression of key stem cell regulatory genes. Here, we report evidence implicating the miR100 in self-renewal of cancer stem-like cells (CSC). We found that miR100 expression levels relate to the cellular differentiation state, with lowest expression in cells displaying stem cell markers. Utilizing a tetracycline-inducible lentivirus to elevate expression of miR100 in human cells, we found that increasing miR100 levels decreased the production of breast CSCs. This effect was correlated with an inhibition of cancer cell proliferation in vitro and in mouse tumor xenografts due to attenuated expression of the CSC regulatory genes SMARCA5, SMARCD1, and BMPR2. Furthermore, miR100 induction in breast CSCs immediately upon their orthotopic implantation or intracardiac injection completely blocked tumor growth and metastasis formation. Clinically, we observed a significant association between miR100 expression in breast cancer specimens and patient survival. Our results suggest that miR100 is required to direct CSC self-renewal and differentiation.
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Affiliation(s)
- Lu Deng
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Li Shang
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Shoumin Bai
- Department of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Ji Chen
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Xueyan He
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Rachel Martin-Trevino
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Shanshan Chen
- Department of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiao-Yan Li
- Division of Molecular Medicine and Genetics, Department of Internal Medicine and Life Sciences Institute, University of Michigan, Ann Arbor, Michigan
| | - Xiaojie Meng
- Departments of Molecular Biosciences and Radiation Oncology, University of Kansas Cancer Center, University of Kansas Medical School, University of Kansas, Lawrence, Kansas
| | - Bin Yu
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaolin Wang
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Yajing Liu
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Sean P McDermott
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Alexa E Ariazi
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Christophe Ginestier
- Centre de Recherche en Cance'rologie de Marseille, Laboratoire d'Oncologie Mole'culaire, UMR891 Inserm/Institut Paoli-Calmettes, Universite' de la Me'diterrane'e, Marseille, France
| | - Ingrid Ibarra
- Cold Spring Harbor Laboratory, Program in Genetics and Bioinformatics, Cold Spring Harbor, New York, New York
| | - Jia Ke
- Department of Colorectal Surgery, Sixth Hospital of Sun Yat-sen University, Guangzhou, China
| | - Tahra Luther
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Shawn G Clouthier
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Liang Xu
- Departments of Molecular Biosciences and Radiation Oncology, University of Kansas Cancer Center, University of Kansas Medical School, University of Kansas, Lawrence, Kansas
| | - Ge Shan
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China
| | - Erwei Song
- Department of Breast Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Herui Yao
- Department of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Gregory J Hannon
- Cold Spring Harbor Laboratory, Program in Genetics and Bioinformatics, Cold Spring Harbor, New York, New York
| | - Stephen J Weiss
- Division of Molecular Medicine and Genetics, Department of Internal Medicine and Life Sciences Institute, University of Michigan, Ann Arbor, Michigan
| | - Max S Wicha
- Comprehensive Cancer Center, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Suling Liu
- Innovation Center for Cell Biology and the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui, China.
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107
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Li Z, Li X, Yu C, Wang M, Peng F, Xiao J, Tian R, Jiang J, Sun C. MicroRNA-100 regulates pancreatic cancer cells growth and sensitivity to chemotherapy through targeting FGFR3. Tumour Biol 2014; 35:11751-9. [PMID: 25344675 DOI: 10.1007/s13277-014-2271-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2014] [Accepted: 06/20/2014] [Indexed: 12/30/2022] Open
Abstract
We intended to investigate the role of microRNA 100 (miR-100) in regulating pancreatic cancer cells' growth in vitro and tumor development in vivo. QTR-PCR was used to examine the expression of miR-100 in pancreatic cancer cell lines and tumor cells from human patients. Lentivirual vector containing miR-100 mimics (lv-miR-100) was used to overexpress miR-100 in MIA PaCa-2 and FCPAC-1 cells. The effects of overexpressing miR-100 on pancreatic cancer cell proliferation and chemosensitivity to cisplatin were examined by cell proliferation essay in vitro. MIA PaCa-2 cells with endogenously overexpressed miR-100 were transplanted into null mice to examine tumor growth in vivo. The predicted target of miR-100, fibroblast growth factor receptor 3 (FGFR3), was downregulated by siRNA to examine its effect on pancreatic cancer cells. We found miR-100 was markedly underexpressed in both pancreatic cancer cell lines and tumor cells from patients. In cancer cells, transfection of lv-miR-100 was able to upregulate endogenous expression of miR-100, inhibited cancer cell proliferation, and increased sensitivities to cisplatin. Overexpressing miR-100 led to significant inhibition on tumor formation in vivo. Luciferase essay showed FGFR3 was direct target of miR-100. FGFR3 was significantly downregulated by overexpressing miR-100 in pancreatic cancer cells and knocking down FGFR3 by siRNA exerted similar effect as miR-100. Our study demonstrated that miR-100 played an important role in pancreatic cancer development, possibly through targeting FGFR3. It may become a new therapeutic target for gene therapy in patients suffered from pancreatic cancer.
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Affiliation(s)
- Zhipeng Li
- Department of Biliary-Hepatic Surgery, Affiliated Hospital of Guiyang Medical College, Guiyang, Guizhou Province, 50004, China
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108
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Li Z, Li X, Yu C, Wang M, Peng F, Xiao J, Tian R, Jiang J, Sun C. MicroRNA-100 regulates pancreatic cancer cells growth and sensitivity to chemotherapy through targeting FGFR3. Tumour Biol 2014. [PMID: 25344675 DOI: 10.1007/s13277- 014-2271-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
We intended to investigate the role of microRNA 100 (miR-100) in regulating pancreatic cancer cells' growth in vitro and tumor development in vivo. QTR-PCR was used to examine the expression of miR-100 in pancreatic cancer cell lines and tumor cells from human patients. Lentivirual vector containing miR-100 mimics (lv-miR-100) was used to overexpress miR-100 in MIA PaCa-2 and FCPAC-1 cells. The effects of overexpressing miR-100 on pancreatic cancer cell proliferation and chemosensitivity to cisplatin were examined by cell proliferation essay in vitro. MIA PaCa-2 cells with endogenously overexpressed miR-100 were transplanted into null mice to examine tumor growth in vivo. The predicted target of miR-100, fibroblast growth factor receptor 3 (FGFR3), was downregulated by siRNA to examine its effect on pancreatic cancer cells. We found miR-100 was markedly underexpressed in both pancreatic cancer cell lines and tumor cells from patients. In cancer cells, transfection of lv-miR-100 was able to upregulate endogenous expression of miR-100, inhibited cancer cell proliferation, and increased sensitivities to cisplatin. Overexpressing miR-100 led to significant inhibition on tumor formation in vivo. Luciferase essay showed FGFR3 was direct target of miR-100. FGFR3 was significantly downregulated by overexpressing miR-100 in pancreatic cancer cells and knocking down FGFR3 by siRNA exerted similar effect as miR-100. Our study demonstrated that miR-100 played an important role in pancreatic cancer development, possibly through targeting FGFR3. It may become a new therapeutic target for gene therapy in patients suffered from pancreatic cancer.
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Affiliation(s)
- Zhipeng Li
- Department of Biliary-Hepatic Surgery, Affiliated Hospital of Guiyang Medical College, Guiyang, Guizhou Province, 50004, China
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109
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Zhou S, Yang B, Zhao Y, Xu S, Zhang H, Li Z. Prognostic value of microRNA-100 in esophageal squamous cell carcinoma. J Surg Res 2014; 192:515-20. [PMID: 25218280 DOI: 10.1016/j.jss.2014.07.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2014] [Revised: 06/07/2014] [Accepted: 07/01/2014] [Indexed: 12/12/2022]
Abstract
BACKGROUND MicroRNA-100 (miR-100) has been demonstrated to be implicated in tumorigenesis and tumor progression of human esophageal squamous cell carcinoma (ESCC). However, its expression patterns in ESCC are controversial and its prognostic value in this malignancy has not been fully elucidated. The aim of this study was to investigate the expression and clinical significance of miR-100 in ESCC. MATERIALS AND METHODS Real-time quantitative reverse transcription polymerase chain reaction (RT-PCR) was performed to detect expression levels of miR-100 in 120 self-paired specimens of ESCC and adjacent normal esophageal tissues. The associations of miR-100 expression with clinicopathologic features, locoregional progression-free survival (LPFS), distant progression-free survival (DPFS), and overall survival (OS) of patients with ESCC were statistically analyzed. RESULTS Compared with adjacent normal esophageal tissues, the expression levels of miR-100 in ESCC were significantly decreased (normal versus ESCC: 3.53 ± 1.22 versus 1.89 ± 0.38, P <0.001). Additionally, low miR-100 expression in ESCC tissues was significantly associated with the advanced clinical stage (P = 0.008), the presence of distant metastasis (P = 0.008), and the great depth of invasion (P = 0.02). Moreover, univariate analysis revealed that low miR-100 expression was associated with poor LPFS, DPFS, and OS. In multivariate analysis, miR-100 expression was identified as an independent prognostic factor for all LPFS, DPFS, and OS. CONCLUSIONS These findings show the reduced expression of miR-100 in human ESCC tissues and suggest a crucial role of its downregulation in ESCC progression and prognosis. More interestingly, the detection of miR-100 expression may be used to efficiently screen those ESCC patients who would benefit from radiotherapy.
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Affiliation(s)
- Shu Zhou
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China
| | - Benqiang Yang
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China.
| | - Yanjuan Zhao
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China
| | - Sen Xu
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China
| | - Hongwei Zhang
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China
| | - Zhao Li
- Department of Radiodiagnosis, the General Hospital of Shenyang Military Region, Shenyang, China
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