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Full-Text Articles in Life Sciences

Sensitive Detection Of Ebv Micrornas Across Cancer Spectrum Reveals Association With Decreased Survival In Adult Acute Myelocytic Leukemia, Mercedeh J. Movassagh, Cliff Oduor, Catherine Forconi, Ann M. Moormann, Jeffrey A. Bailey Dec 2019

Sensitive Detection Of Ebv Micrornas Across Cancer Spectrum Reveals Association With Decreased Survival In Adult Acute Myelocytic Leukemia, Mercedeh J. Movassagh, Cliff Oduor, Catherine Forconi, Ann M. Moormann, Jeffrey A. Bailey

Open Access Articles

Epstein Barr virus (EBV) is the etiologic agent involved in numerous human cancers. After infecting the host, EBV establishes a latent infection, with low levels of messenger RNA (mRNA) and protein expression, evolved to evade immune recognition. Conversely, EBV microRNAs (miRNA) are expressed ubiquitously and abundantly within infected cells. Their role in tumor biology and clinical outcomes across the spectrum of cancer is not fully explained. Here, we applied our bioinformatics pipeline for quantitative EBV miRNA detection to examine sequencing data of 8,955 individual tumor samples across 27 tumor types representing the breadth of cancer. We uncover an association ...


Jnk(1/2) Represses Lkb(1)-Deficiency-Induced Lung Squamous Cell Carcinoma Progression, Jian Liu, Tianyuan Wang, Chad J. Creighton, San-Pin Wu, Madhumita Ray, Kyathanahalli S. Janardhan, Cynthia J. Willson, Sung-Nam Cho, Patricia D. Castro, Michael M. Ittmann, Jian-Liang Li, Roger J. Davis, Francesco J. Demayo May 2019

Jnk(1/2) Represses Lkb(1)-Deficiency-Induced Lung Squamous Cell Carcinoma Progression, Jian Liu, Tianyuan Wang, Chad J. Creighton, San-Pin Wu, Madhumita Ray, Kyathanahalli S. Janardhan, Cynthia J. Willson, Sung-Nam Cho, Patricia D. Castro, Michael M. Ittmann, Jian-Liang Li, Roger J. Davis, Francesco J. Demayo

Open Access Articles

Mechanisms of lung squamous cell carcinoma (LSCC) development are poorly understood. Here, we report that JNK1/2 activities attenuate Lkb1-deficiency-driven LSCC initiation and progression through repressing DeltaNp63 signaling. In vivo Lkb1 ablation alone is sufficient to induce LSCC development by reducing MKK7 levels and JNK1/2 activities, independent of the AMPKalpha and mTOR pathways. JNK1/2 activities is positively regulated by MKK7 during LSCC development. Pharmaceutically elevated JNK1/2 activities abates Lkb1 dependent LSCC formation while compound mutations of Jnk1/2 and Lkb1 further accelerate LSCC progression. JNK1/2 is inactivated in a substantial proportion of human LSCC and JNK1 ...


Computational Genomic Models For Spatio-Temporal Investigation Of Early Lung Cancer Pathology, Smruthy Sivakumar May 2019

Computational Genomic Models For Spatio-Temporal Investigation Of Early Lung Cancer Pathology, Smruthy Sivakumar

UT GSBS Dissertations and Theses (Open Access)

Lung cancer, of which non-small cell lung cancer (NSCLC) is the most common form, is the second most prevalent cancer and the leading cause of cancer-related deaths. NSCLCs primarily comprise adenocarcinomas (LUAD) and squamous cell carcinomas (LUSC). Advances in early detection and prevention have been limited by the lack of early-stage biomarkers and targets. A comprehensive molecular characterization of premalignant lesions and tumor-adjacent normal tissue can aid in better understanding NSCLC pathogenesis. However, these investigations are further challenged by limited tissue availability and low cellular fractions of detectable somatic mutations.

Therefore, there is a dearth of knowledge about the pathogenesis ...


Unified Methods For Feature Selection In Large-Scale Genomic Studies With Censored Survival Outcomes, Lauren Spirko-Burns, Karthik Devarajan Mar 2019

Unified Methods For Feature Selection In Large-Scale Genomic Studies With Censored Survival Outcomes, Lauren Spirko-Burns, Karthik Devarajan

COBRA Preprint Series

One of the major goals in large-scale genomic studies is to identify genes with a prognostic impact on time-to-event outcomes which provide insight into the disease's process. With rapid developments in high-throughput genomic technologies in the past two decades, the scientific community is able to monitor the expression levels of tens of thousands of genes and proteins resulting in enormous data sets where the number of genomic features is far greater than the number of subjects. Methods based on univariate Cox regression are often used to select genomic features related to survival outcome; however, the Cox model assumes proportional ...


Supervised Dimension Reduction For Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards, Lauren Spirko-Burns, Karthik Devarajan Mar 2019

Supervised Dimension Reduction For Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards, Lauren Spirko-Burns, Karthik Devarajan

COBRA Preprint Series

The past two decades have witnessed significant advances in high-throughput ``omics" technologies such as genomics, proteomics, metabolomics, transcriptomics and radiomics. These technologies have enabled simultaneous measurement of the expression levels of tens of thousands of features from individual patient samples and have generated enormous amounts of data that require analysis and interpretation. One specific area of interest has been in studying the relationship between these features and patient outcomes, such as overall and recurrence-free survival, with the goal of developing a predictive ``omics" profile. Large-scale studies often suffer from the presence of a large fraction of censored observations and potential ...