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Results: 1 to 10 of 78

Publication Record


Is a Tumor Suppressor Gene in Colorectal Cancer.
Chen MS, Lo YH, Chen X, Williams CS, Donnelly JM, Criss ZK, Patel S, Butkus JM, Dubrulle J, Finegold MJ, Shroyer NF
(2019) Mol Cancer Res 17: 697-708
MeSH Terms: Animals, Cell Line, Tumor, Colorectal Neoplasms, DNA-Binding Proteins, Genes, Tumor Suppressor, HCT116 Cells, HEK293 Cells, Heterografts, Humans, Male, Mice, Mice, Inbred NOD, Transcription Factors
Show Abstract · Added April 15, 2019
Colorectal cancer is the third most common cancer and the third leading cause of cancer death in the United States. Growth factor-independent 1 (GFI1) is a zinc finger transcriptional repressor responsible for controlling secretory cell differentiation in the small intestine and colon. GFI1 plays a significant role in the development of human malignancies, including leukemia, lung cancer, and prostate cancer. However, the role of GFI1 in colorectal cancer progression is largely unknown. Our results demonstrate that RNA and protein expression of GFI1 are reduced in advanced-stage nonmucinous colorectal cancer. Subcutaneous tumor xenograft models demonstrated that the reexpression of GFI1 in 4 different human colorectal cancer cell lines inhibits tumor growth. To further investigate the role of Gfi1 in colorectal tumorigenesis, we developed transgenic mice harboring a deletion of Gfi1 in the colon driven by CDX2-cre (Gfi1; CDX2-cre) and crossed them with Apc mice (Apc; Gfi1; CDX2-cre). Loss of Gfi1 significantly increased the total number of colorectal adenomas compared with littermate controls with an APC mutation alone. Furthermore, we found that compound (Apc; Gfi1; CDX2-cre) mice develop larger adenomas, invasive carcinoma, as well as hyperplastic lesions expressing the neuroendocrine marker chromogranin A, a feature that has not been previously described in APC-mutant tumors in mice. Collectively, these results demonstrate that acts as a tumor suppressor gene in colorectal cancer, where deficiency of Gfi1 promotes malignancy in the colon. IMPLICATIONS: These findings reveal that GFI1 functions as a tumor suppressor gene in colorectal tumorigenesis.
©2019 American Association for Cancer Research.
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13 MeSH Terms
Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context.
Chiu HS, Somvanshi S, Patel E, Chen TW, Singh VP, Zorman B, Patil SL, Pan Y, Chatterjee SS, Cancer Genome Atlas Research Network, Sood AK, Gunaratne PH, Sumazin P
(2018) Cell Rep 23: 297-312.e12
MeSH Terms: Cell Line, Cell Line, Tumor, Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, Genes, Tumor Suppressor, Humans, Neoplasms, Oncogenes, RNA, Long Noncoding
Show Abstract · Added October 30, 2019
Long noncoding RNAs (lncRNAs) are commonly dysregulated in tumors, but only a handful are known to play pathophysiological roles in cancer. We inferred lncRNAs that dysregulate cancer pathways, oncogenes, and tumor suppressors (cancer genes) by modeling their effects on the activity of transcription factors, RNA-binding proteins, and microRNAs in 5,185 TCGA tumors and 1,019 ENCODE assays. Our predictions included hundreds of candidate onco- and tumor-suppressor lncRNAs (cancer lncRNAs) whose somatic alterations account for the dysregulation of dozens of cancer genes and pathways in each of 14 tumor contexts. To demonstrate proof of concept, we showed that perturbations targeting OIP5-AS1 (an inferred tumor suppressor) and TUG1 and WT1-AS (inferred onco-lncRNAs) dysregulated cancer genes and altered proliferation of breast and gynecologic cancer cells. Our analysis indicates that, although most lncRNAs are dysregulated in a tumor-specific manner, some, including OIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergistically dysregulate cancer pathways in multiple tumor contexts.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.
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MeSH Terms
Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types.
Seiler M, Peng S, Agrawal AA, Palacino J, Teng T, Zhu P, Smith PG, Cancer Genome Atlas Research Network, Buonamici S, Yu L
(2018) Cell Rep 23: 282-296.e4
MeSH Terms: Cell Line, Tumor, Genes, Tumor Suppressor, Humans, Loss of Function Mutation, Mutation Rate, Neoplasms, Oncogenes, RNA Splicing, RNA Splicing Factors
Show Abstract · Added October 30, 2019
Hotspot mutations in splicing factor genes have been recently reported at high frequency in hematological malignancies, suggesting the importance of RNA splicing in cancer. We analyzed whole-exome sequencing data across 33 tumor types in The Cancer Genome Atlas (TCGA), and we identified 119 splicing factor genes with significant non-silent mutation patterns, including mutation over-representation, recurrent loss of function (tumor suppressor-like), or hotspot mutation profile (oncogene-like). Furthermore, RNA sequencing analysis revealed altered splicing events associated with selected splicing factor mutations. In addition, we were able to identify common gene pathway profiles associated with the presence of these mutations. Our analysis suggests that somatic alteration of genes involved in the RNA-splicing process is common in cancer and may represent an underappreciated hallmark of tumorigenesis.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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MeSH Terms
miR-101-2, miR-125b-2 and miR-451a act as potential tumor suppressors in gastric cancer through regulation of the PI3K/AKT/mTOR pathway.
Riquelme I, Tapia O, Leal P, Sandoval A, Varga MG, Letelier P, Buchegger K, Bizama C, Espinoza JA, Peek RM, Araya JC, Roa JC
(2016) Cell Oncol (Dordr) 39: 23-33
MeSH Terms: Base Sequence, Cell Death, Cell Line, Tumor, Cell Movement, Cell Proliferation, Cell Survival, Class I Phosphatidylinositol 3-Kinases, Down-Regulation, Gene Expression Regulation, Neoplastic, Genes, Tumor Suppressor, Humans, MicroRNAs, Models, Biological, Molecular Sequence Data, Neoplasm Invasiveness, Phosphatidylinositol 3-Kinases, Proto-Oncogene Proteins c-akt, Signal Transduction, Stomach Neoplasms, TOR Serine-Threonine Kinases, Transfection, Tuberous Sclerosis Complex 1 Protein, Tumor Stem Cell Assay, Tumor Suppressor Proteins
Show Abstract · Added February 5, 2016
BACKGROUND - Gastric cancer (GC) is a deadly malignancy worldwide. In the past, it has been shown that cellular signaling pathway alterations play a crucial role in the development of GC. In particular, deregulation of the PI3K/AKT/mTOR pathway seems to affect multiple GC functions including growth, proliferation, metabolism, motility and angiogenesis. Targeting alterations in this pathway by microRNAs (miRNAs) represents a potential therapeutic strategy, especially in inhibitor-resistant tumors. The objective of this study was to evaluate the expression of 3 pre-selected miRNAs, miR-101-2, miR-125b-2 and miR-451a, in a series of primary GC tissues and matched non-GC tissues and in several GC-derived cell lines, and to subsequently evaluate the functional role of these miRNAs.
METHODS - Twenty-five primary GC samples, 25 matched non-GC samples and 3 GC-derived cell lines, i.e., AGS, MKN28 and MKN45, were included in this study. miRNA and target gene expression levels were assessed by quantitative RT-PCR and western blotting, respectively. Subsequently, cell viability, clone formation, cell death, migration and invasion assays were performed on AGS cells.
RESULTS - miR-101-2, miR-125b-2 and miR-451a were found to be down-regulated in the primary GC tissues and the GC-derived cell lines tested. MiRNA mimic transfections significantly reduced cell viability and colony formation, increased cell death and reduced cell migration and invasion in AGS cells. We also found that exogenous expression of miR-101-2, miR-125b-2 and miR-451a decreased the expression of their putative targets MTOR, PIK3CB and TSC1, respectively.
CONCLUSIONS - Our expression analyses and in vitro functional assays suggest that miR-101-2, miR-125b-2 and miR-451a act as potential tumor suppressors in primary GCs as well as in GC-derived AGS cells.
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24 MeSH Terms
CRISPR-Cas9 knockin mice for genome editing and cancer modeling.
Platt RJ, Chen S, Zhou Y, Yim MJ, Swiech L, Kempton HR, Dahlman JE, Parnas O, Eisenhaure TM, Jovanovic M, Graham DB, Jhunjhunwala S, Heidenreich M, Xavier RJ, Langer R, Anderson DG, Hacohen N, Regev A, Feng G, Sharp PA, Zhang F
(2014) Cell 159: 440-55
MeSH Terms: Adenocarcinoma, Animals, Clustered Regularly Interspaced Short Palindromic Repeats, Dendritic Cells, Disease Models, Animal, Gene Knock-In Techniques, Genes, Tumor Suppressor, Genetic Engineering, Genetic Vectors, Lentivirus, Lung Neoplasms, Mice, Mice, Transgenic, Oncogenes
Show Abstract · Added September 7, 2016
CRISPR-Cas9 is a versatile genome editing technology for studying the functions of genetic elements. To broadly enable the application of Cas9 in vivo, we established a Cre-dependent Cas9 knockin mouse. We demonstrated in vivo as well as ex vivo genome editing using adeno-associated virus (AAV)-, lentivirus-, or particle-mediated delivery of guide RNA in neurons, immune cells, and endothelial cells. Using these mice, we simultaneously modeled the dynamics of KRAS, p53, and LKB1, the top three significantly mutated genes in lung adenocarcinoma. Delivery of a single AAV vector in the lung generated loss-of-function mutations in p53 and Lkb1, as well as homology-directed repair-mediated Kras(G12D) mutations, leading to macroscopic tumors of adenocarcinoma pathology. Together, these results suggest that Cas9 mice empower a wide range of biological and disease modeling applications.
Copyright © 2014 Elsevier Inc. All rights reserved.
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14 MeSH Terms
CNVannotator: a comprehensive annotation server for copy number variation in the human genome.
Zhao M, Zhao Z
(2013) PLoS One 8: e80170
MeSH Terms: Chromosome Fragile Sites, DNA Copy Number Variations, Databases, Genetic, Gene Dosage, Genes, Tumor Suppressor, Genome, Human, Genome-Wide Association Study, Humans, Internet, Oncogenes, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid, Software
Show Abstract · Added March 7, 2014
Copy number variation (CNV) is one of the most prevalent genetic variations in the genome, leading to an abnormal number of copies of moderate to large genomic regions. High-throughput technologies such as next-generation sequencing often identify thousands of CNVs involved in biological or pathological processes. Despite the growing demand to filter and classify CNVs by factors such as frequency in population, biological features, and function, surprisingly, no online web server for CNV annotations has been made available to the research community. Here, we present CNVannotator, a web server that accepts an input set of human genomic positions in a user-friendly tabular format. CNVannotator can perform genomic overlaps of the input coordinates using various functional features, including a list of the reported 356,817 common CNVs, 181,261 disease CNVs, as well as, 140,342 SNPs from genome-wide association studies. In addition, CNVannotator incorporates 2,211,468 genomic features, including ENCODE regulatory elements, cytoband, segmental duplication, genome fragile site, pseudogene, promoter, enhancer, CpG island, and methylation site. For cancer research community users, CNVannotator can apply various filters to retrieve a subgroup of CNVs pinpointed in hundreds of tumor suppressor genes and oncogenes. In total, 5,277,234 unique genomic coordinates with functional features are available to generate an output in a plain text format that is free to download. In summary, we provide a comprehensive web resource for human CNVs. The annotated results along with the server can be accessed at http://bioinfo.mc.vanderbilt.edu/CNVannotator/.
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13 MeSH Terms
Insulin growth factor signaling is regulated by microRNA-486, an underexpressed microRNA in lung cancer.
Peng Y, Dai Y, Hitchcock C, Yang X, Kassis ES, Liu L, Luo Z, Sun HL, Cui R, Wei H, Kim T, Lee TJ, Jeon YJ, Nuovo GJ, Volinia S, He Q, Yu J, Nana-Sinkam P, Croce CM
(2013) Proc Natl Acad Sci U S A 110: 15043-8
MeSH Terms: 3' Untranslated Regions, Animals, Apoptosis, Carcinoma, Non-Small-Cell Lung, Cell Cycle Checkpoints, Cell Line, Tumor, Cell Movement, Cell Proliferation, Class Ia Phosphatidylinositol 3-Kinase, Gene Expression Regulation, Neoplastic, Genes, Tumor Suppressor, Genes, p53, Humans, Insulin-Like Growth Factor I, Lung Neoplasms, Mice, Mice, Nude, MicroRNAs, Phosphoinositide-3 Kinase Inhibitors, RNA, Small Interfering, Receptor, IGF Type 1, Signal Transduction
Show Abstract · Added December 22, 2013
MicroRNAs (miRNAs) are small 19- to 24-nt noncoding RNAs that have the capacity to regulate fundamental biological processes essential for cancer initiation and progression. In cancer, miRNAs may function as oncogenes or tumor suppressors. Here, we conducted global profiling for miRNAs in a cohort of stage 1 nonsmall cell lung cancers (n = 81) and determined that miR-486 was the most down-regulated miRNA in tumors compared with adjacent uninvolved lung tissues, suggesting that miR-486 loss may be important in lung cancer development. We report that miR-486 directly targets components of insulin growth factor (IGF) signaling including insulin-like growth factor 1 (IGF1), IGF1 receptor (IGF1R), and phosphoinositide-3-kinase, regulatory subunit 1 (alpha) (PIK3R1, or p85a) and functions as a potent tumor suppressor of lung cancer both in vitro and in vivo. Our findings support the role for miR-486 loss in lung cancer and suggest a potential biological link to p53.
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22 MeSH Terms
Molecular profiling of sinonasal undifferentiated carcinoma.
Gelbard A, Hale KS, Takahashi Y, Davies M, Kupferman ME, El-Naggar AK, Myers JN, Hanna EY
(2014) Head Neck 36: 15-21
MeSH Terms: Adult, Aged, Aged, 80 and over, Biopsy, Needle, Carcinoma, DNA, Neoplasm, Female, Genes, Tumor Suppressor, Genetic Predisposition to Disease, Genotype, Humans, Immunohistochemistry, Male, Mass Spectrometry, Maxillary Sinus Neoplasms, Microscopy, Electron, Transmission, Middle Aged, Paranasal Sinus Neoplasms, Polymorphism, Single Nucleotide, Prognosis
Show Abstract · Added April 11, 2014
BACKGROUND - Sinonasal undifferentiated carcinoma (SNUC) remains a poorly characterized malignancy at both the clinical and molecular level, and, consequently, the optimal treatment strategy remains undefined.
METHODS - We used a mass spectroscopy-based approach (Sequenom) to evaluate 95 hallmark single nucleotide variations (SNVs) within 12 oncogenes or tumor suppressor genes (AKT, BRAF, CDK4, Beta-catenin, epidermal growth factor receptor [EGFR], FBXW7, JAK2, c-KIT, KRAS, PDGFR, PI3K, and vascular endothelial growth factor [VEGF]) in 13 histologically confirmed SNUC cases.
RESULTS - None of the samples demonstrated activating mutations in any of the 95 SNVs.
CONCLUSION - Select clinically relevant activating genomic mutations were not identified in the 13 patient samples. However, polymorphisms were noted within the promoter region of VEGF. These may merit future studies as predictive biomarkers for treatment response or overall survival. Additionally, future studies focusing on larger tumor sets and utilizing whole genome or exome sequencing may help define genetic aberrations in SNUC that can be clinically targeted with available or emerging biological agents.
Copyright © 2013 Wiley Periodicals, Inc.
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20 MeSH Terms
LRIG1 is a triple threat: ERBB negative regulator, intestinal stem cell marker and tumour suppressor.
Wang Y, Poulin EJ, Coffey RJ
(2013) Br J Cancer 108: 1765-70
MeSH Terms: Adenoma, Animals, Biomarkers, ErbB Receptors, Genes, Tumor Suppressor, Humans, Intestinal Mucosa, Membrane Glycoproteins, Membrane Proteins, Mice, Neoplasms, Nerve Tissue Proteins, Oncogene Proteins v-erbB, Stem Cells, Tumor Suppressor Proteins
Show Abstract · Added January 8, 2014
In baseball parlance, a triple threat is a person who can run, hit and throw with aplomb. Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) is a cell surface protein that antagonises ERBB receptor signalling by downregulating receptor levels. Over 10 years ago, Hedman et al postulated that LRIG1 might be a tumour suppressor. Recently, Powell et al provided in vivo evidence substantiating that claim by demonstrating that Lrig1 loss in mice leads to spontaneously arising, highly penetrant intestinal adenomas. Interestingly, Lrig1 also marks stem cells in the gut, suggesting a potential role for Lrig1 in maintaining intestinal epithelial homeostasis. In this review, we will discuss the ability of LRIG1 to act as a triple threat: pan-ERBB negative regulator, intestinal stem cell marker and tumour suppressor. We will summarise studies of LRIG1 expression in human cancers and discuss possible related roles for LRIG2 and LRIG3.
2 Communities
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15 MeSH Terms
The role of microRNAs in Helicobacter pylori pathogenesis and gastric carcinogenesis.
Noto JM, Peek RM
(2011) Front Cell Infect Microbiol 1: 21
MeSH Terms: Apoptosis, Cell Cycle, Cell Proliferation, Cell Survival, Cell Transformation, Neoplastic, Cocarcinogenesis, Epigenesis, Genetic, Gene Expression Regulation, Neoplastic, Genes, Tumor Suppressor, Helicobacter Infections, Helicobacter pylori, Host-Pathogen Interactions, Humans, Inflammation, MicroRNAs, Neoplasm Invasiveness, Neoplasm Metastasis, Oncogenes, Risk Factors, Signal Transduction, Stomach Neoplasms, Virulence Factors
Show Abstract · Added March 28, 2016
Gastric carcinogenesis is a multistep process orchestrated by aberrancies in the genetic and epigenetic regulation of oncogenes and tumor suppressor genes. Chronic infection with Helicobacter pylori is the strongest known risk factor for the development of gastric cancer. H. pylori expresses a spectrum of virulence factors that dysregulate host intracellular signaling pathways that lower the threshold for neoplastic transformation. In addition to bacterial determinants, numerous host and environmental factors increase the risk of gastric carcinogenesis. Recent discoveries have shed new light on the involvement of microRNAs (miRNAs) in gastric carcinogenesis. miRNAs represent an abundant class of small, non-coding RNAs involved in global post-transcriptional regulation and, consequently, play an integral role at multiple steps in carcinogenesis, including cell cycle progression, proliferation, apoptosis, invasion, and metastasis. Expression levels of miRNAs are frequently altered in malignancies, where they function as either oncogenic miRNAs or tumor suppressor miRNAs. This review focuses on miRNAs dysregulated by H. pylori and potential etiologic roles they play in H. pylori-mediated gastric carcinogenesis.
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22 MeSH Terms