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Dartmouth College

Genes

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Full-Text Articles in Medicine and Health Sciences

A Novel Genetic Variant In Long Non-Coding Rna Gene Nexn-As1 Is Associated With Risk Of Lung Cancer, Hua Yuan, Hongliang Liu, Zhensheng Liu, Kouros Owzar Oct 2016

A Novel Genetic Variant In Long Non-Coding Rna Gene Nexn-As1 Is Associated With Risk Of Lung Cancer, Hua Yuan, Hongliang Liu, Zhensheng Liu, Kouros Owzar

Dartmouth Scholarship

Lung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wideassociation studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortiumin populations of European ancestry. Previously unreported significant SNPs (P value < 1 × 10−7) were further validated in two additional independent lung cancer GWAS datasets from Harvard University anddeCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant(odds ratio = 1.17; 95% confidence interval = 1.11–1.24; P = 8.31 × 10−9). In further in silico analysis,rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.


Elevated Mtss1 Expression Associated With Metastasis And Poor Prognosis Of Residual Hepatitis B-Related Hepatocellular Carcinoma, Xiu-Yan Huang, Zi-Li Huang, Bin Xu, Zi Chen May 2016

Elevated Mtss1 Expression Associated With Metastasis And Poor Prognosis Of Residual Hepatitis B-Related Hepatocellular Carcinoma, Xiu-Yan Huang, Zi-Li Huang, Bin Xu, Zi Chen

Dartmouth Scholarship

Background: Hepatectomy generally offers the best chance of long-term survival for patients with hepatocellular carcinoma (HCC). Many studies have shown that hepatectomy accelerates tumor metastasis, but the mechanism remains unclear.

Methods: An orthotopic nude mice model with palliative HCC hepatectomy was performed in this study. Metastasis-related genes in tumor following resection were screened; HCC invasion, metastasis, and some molecular alterations were examined in vivo and in vitro. Clinical significance of key gene mRNA expression was also analyzed.


Mice Null For The Deubiquitinase Usp18 Spontaneously Develop Leiomyosarcomas, Fadzai Chinyengetere, David J. Sekula, Yun Lu, Andrew J. Giustini, Aarti Sanglikar, Masanori Kawakami, Tian Ma Nov 2015

Mice Null For The Deubiquitinase Usp18 Spontaneously Develop Leiomyosarcomas, Fadzai Chinyengetere, David J. Sekula, Yun Lu, Andrew J. Giustini, Aarti Sanglikar, Masanori Kawakami, Tian Ma

Dartmouth Scholarship

USP18 (ubiquitin-specific protease 18) removes ubiquitin-like modifier interferon stimulated gene 15 (ISG15) from conjugated proteins. USP18 null mice in a FVB/N background develop tumors as early as 2 months of age. These tumors are leiomyosarcomas and thus represent a new murine model for this disease.


Building A Statistical Model For Predicting Cancer Genes, Ivan P. Gorlov, Christopher J. Logothetis, Shenying Fang, Olga Y. Gorlova, Christopher Amos Nov 2012

Building A Statistical Model For Predicting Cancer Genes, Ivan P. Gorlov, Christopher J. Logothetis, Shenying Fang, Olga Y. Gorlova, Christopher Amos

Dartmouth Scholarship

More than 400 cancer genes have been identified in the human genome. The list is not yet complete. Statistical models predicting cancer genes may help with identification of novel cancer gene candidates. We used known prostate cancer (PCa) genes (identified through KnowledgeNet) as a training set to build a binary logistic regression model identifying PCa genes. Internal and external validation of the model was conducted using a validation set (also from KnowledgeNet), permutations, and external data on genes with recurrent prostate tumor mutations. We evaluated a set of 33 gene characteristics as predictors. Sixteen of the original 33 predictors were …