Genetic Phenomena Commons^™

Feature Selection For Support Vector Regression Using A Genetic Algorithm, Shannon B Mckearnan, David M Vock, G Elisabeta Marai, Guadalupe Canahuate, Clifton D Fuller, Julian Wolfson

Faculty, Staff and Student Publications

Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are available, the method's flexibility can lead to overfitting and an overall loss in predictive accuracy. To overcome this drawback, we develop a feature selection method for SVR based on a genetic algorithm that iteratively searches across potential subsets of covariates to find those that yield the best performance according to a user-defined fitness function. We evaluate the performance of our feature selection method for SVR, comparing it to alternate methods including LASSO and random forest, in a simulation study. We …

Immune Checkpoint Therapy-Current Perspectives And Future Directions, Padmanee Sharma, Sangeeta Goswami, Deblina Raychaudhuri, Bilal A Siddiqui, Pratishtha Singh, Ashwat Nagarajan, Jielin Liu, Sumit K Subudhi, Candice Poon, Kristal L Gant, Shelley M Herbrich, Swetha Anandhan, Shajedul Islam, Moran Amit, Gayathri Anandappa, James P Allison

Faculty, Staff and Student Publications

Immune checkpoint therapy (ICT) has dramatically altered clinical outcomes for cancer patients and conferred durable clinical benefits, including cure in a subset of patients. Varying response rates across tumor types and the need for predictive biomarkers to optimize patient selection to maximize efficacy and minimize toxicities prompted efforts to unravel immune and non-immune factors regulating the responses to ICT. This review highlights the biology of anti-tumor immunity underlying response and resistance to ICT, discusses efforts to address the current challenges with ICT, and outlines strategies to guide the development of subsequent clinical trials and combinatorial efforts with ICT.

Pancreatic Cancer: Advances And Challenges, Christopher J Halbrook, Costas A Lyssiotis, Marina Pasca Di Magliano, Anirban Maitra

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers. Significant efforts have largely defined major genetic factors driving PDAC pathogenesis and progression. Pancreatic tumors are characterized by a complex microenvironment that orchestrates metabolic alterations and supports a milieu of interactions among various cell types within this niche. In this review, we highlight the foundational studies that have driven our understanding of these processes. We further discuss the recent technological advances that continue to expand our understanding of PDAC complexity. We posit that the clinical translation of these research endeavors will enhance the currently dismal survival rate of this recalcitrant …

Hypoxia Increases Atx Expression By Histone Crotonylation In A Hif-2Α-Dependent Manner, Mengxia Qu, Yang Long, Yuqin Wang, Nan Yin, Xiaotian Zhang, Junjie Zhang

Faculty, Staff and Student Publications

Autotaxin (ATX), the key enzyme that generates lysophosphatidic acid (LPA) from lysophosphatidylcholine (LPC), is involved in tumorigenesis through the ATX-LPA axis and is regarded as a valuable target in tumor therapy. Hypoxia is a major feature of solid tumors and contributes to tumor development with striking alterations in the gene expression profile. Here, we show that hypoxia induces ATX expression in a hypoxia-inducible factor (HIF) 2α-dependent fashion in human colon cancer SW480 cells. HIF-2α is directly bound to specific hypoxia response elements (HREs) in the ATX promoter. Under hypoxic conditions, knockout or inhibition of ATX suppressed the migration of SW480 …

Mutation-Agnostic Detection Of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures, Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I Wistuba, Rajyalakshmi Luthra, Filip Janku

Faculty, Staff and Student Publications

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal …

An Expedited Strategy For Accurate And Timely Integrated Molecular Diagnosis Of Gliomas, Timothy A Gregory, Garret L Williford, Jacob M Maronge, Kristin Alfaro, Gregory N Fuller, John De Groot, Vinay K Puduvalli, Leomar Y Ballester, Nazanin K Majd

Faculty, Staff and Student Publications

No abstract provided.

A Distinct Pattern Of Growth And Rac1 Signaling In Melanoma Brain Metastasis Cells, Ioana Stejerean-Todoran, Phyllis A Gimotty, Andrea Watters, Patricia Brafford, Clemens Krepler, Tetiana Godok, Haiyin Li, Zuriñe Bonilla Del Rio, Anke Zieseniss, Dörthe M Katschinski, Sinem M Sertel, Silvio O Rizzoli, Bradley Garman, Katherine L Nathanson, Xiaowei Xu, Qing Chen, Jack H Oswald, Michal Lotem, Gordon B Mills, Michael A Davies, Michael P Schön, Ivan Bogeski, Meenhard Herlyn, Adina Vultur

Faculty, Staff and Student Publications

Background: Melanoma, the deadliest of skin cancers, has a high propensity to form brain metastases that are associated with a markedly worsened prognosis. In spite of recent therapeutic advances, melanoma brain lesions remain a clinical challenge, biomarkers predicting brain dissemination are not clear and differences with other metastatic sites are poorly understood.

Methods: We examined a genetically diverse panel of human-derived melanoma brain metastasis (MBM) and extracranial cell lines using targeted sequencing, a Reverse Phase Protein Array, protein expression analyses, and functional studies in vitro and in vivo.

Results: Brain-specific genetic alterations were not detected; however, MBM cells in vitro …

Switch-Like Behavior Of Lysosomes And Vcp Supports Spermatocyte Health And Development In Drosophila, Tyler James Butsch

LSU Doctoral Dissertations

Changes to societal norms, such as the educational, marital, and child-bearing expectations have coincided with significant increases in infertility worldwide. Surprisingly, male infertility is responsible for approximately half of all infertility cases worldwide. Thus, a better understanding of sperm development, and how it is affected by age, may permit the design and application of therapeutics to treat various cases male infertility. Here, I have found that lysosomes acidify as germ cells enter the spermatocyte stage. Once active, lysosomes turn over E-cadherin, and likely other proteins, to support plasma membrane stability. Notably, aging negatively impacts lysosome acidification, which can be reversed …

Longitudinal Global Transcriptomic Profiling Of Preclinical Systemic Sclerosis Reveals Molecular Changes Associated With Disease Progression, Chiara Bellocchi, Lorenzo Beretta, Xuan Wang, Marka A Lyons, Maurizio Marchini, Maurizio Lorini, Vincenzo Carbonelli, Nicola Montano, Shervin Assassi

Faculty, Staff and Student Publications

Objective: To investigate peripheral blood cell (PBCs) global gene expression profile of SSc at its preclinical stage (PreSSc) and to characterize the molecular changes associated with progression to a definite disease over time.

Material and methods: Clinical data and PBCs of 33 participants with PreSSc and 16 healthy controls (HCs) were collected at baseline and follow-up (mean 4.2 years). Global gene expression profiling was conducted by RNA sequencing and a modular analysis was performed.

Results: Comparison of baseline PreSSc to HCs revealed 2889 differentially expressed genes. Interferon signalling was the only activated pathway among top over-represented pathways. Moreover, 10 modules …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Advancing Car T Cell Therapy Through The Use Of Multidimensional Omics Data, Jingwen Yang, Yamei Chen, Ying Jing, Michael R Green, Leng Han

Faculty, Staff and Student Publications

Despite the notable success of chimeric antigen receptor (CAR) T cell therapies in the treatment of certain haematological malignancies, challenges remain in optimizing CAR designs and cell products, improving response rates, extending the durability of remissions, reducing toxicity and broadening the utility of this therapeutic modality to other cancer types. Data from multidimensional omics analyses, including genomics, epigenomics, transcriptomics, T cell receptor-repertoire profiling, proteomics, metabolomics and/or microbiomics, provide unique opportunities to dissect the complex and dynamic multifactorial phenotypes, processes and responses of CAR T cells as well as to discover novel tumour targets and pathways of resistance. In this Review, …

Emotional, Behavioral, And Physical Health Consequences Of Loneliness In Young Adult Survivors Of Childhood Cancer: Results From The Childhood Cancer Survivor Study, Chiara Papini, Ameera A Fayad, Mingjuan Wang, Fiona S M Schulte, I-Chan Huang, Yu-Ping Chang, Rebecca M Howell, Deokumar Srivastava, Wendy M Leisenring, Gregory T Armstrong, Todd M Gibson, Leslie L Robison, Kevin C Oeffinger, Kevin R Krull, Tara M Brinkman

Faculty, Staff and Student Publications

Background: Young adults in the general population are at risk of experiencing loneliness, which has been associated with physical and mental health morbidities. The prevalence and consequences of loneliness in young adult survivors of childhood cancer remain unknown.

Methods: A total of 9664 young adult survivors of childhood cancer (median age at diagnosis 10.5 years [interquartile range (IQR), 5-15], 27.1 years at baseline [IQR, 23-32]) and 2221 siblings enrolled in the Childhood Cancer Survivor Study completed a self-reported survey question assessing loneliness on the Brief Symptom Inventory-18 at baseline and follow-up (median follow-up, 6.6 years). Multivariable models evaluated the prevalence …

Integrated Pathologic Score Effectively Stratifies Patients With Pancreatic Ductal Adenocarcinoma Who Received Neoadjuvant Therapy And Pancreaticoduodenectomy, Aaron J Sohn, Mehran Taherian, Matthew H G Katz, Laura R Prakash, Deyali Chatterjee, Hua Wang, Michael Kim, Ching-Wei D Tzeng, Jeffrey E Lee, Naruhiko Ikoma, Asif Rashid, Robert A Wolff, Dan Zhao, Eugene J Koay, Ryan Sun, Anirban Maitra, Huamin Wang

Faculty, Staff and Student Publications

Neoadjuvant therapy is increasingly used to treat patients with pancreatic ductal adenocarcinoma (PDAC). Pathologic parameters of treated PDAC, including tumor (ypT) and lymph node (ypN) stage, and tumor response grading (TRG) are important prognostic factors in this group of patients. To our knowledge, a multifactorial prognostic score combining pathologic features including ypT, ypN, and TRG in treated PDAC patients has not been reported. Our cohort consisted of 398 PDAC patients who received neoadjuvant therapy and underwent pancreaticoduodenectomy at our institution. All pancreaticoduodenectomy specimens were grossly and microscopically evaluated using a standard protocol. The integrated pathologic score (IPS) was calculated as …

Data Partitioning And Statistical Considerations For Association Of Radiomic Features To Biological Underpinnings: What Is Needed, Michael A Jacobs

Faculty, Staff and Student Publications

No abstract provided.

Patient Radiation Doses In Interventional Radiology Procedures: Comparison Of Fluoroscopy Dose Indices Between The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot And The Radiation Doses In Interventional Radiology Study, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To compare radiation dose index distributions for fluoroscopically guided interventions in interventional radiology from the American College of Radiology (ACR) Fluoroscopy Dose Index Registry (DIR-Fluoro) pilot to those from the Radiation Doses in Interventional Radiology (RAD-IR) study.

Materials and methods: Individual and grouped ACR Common identification numbers (procedure types) from the DIR-Fluoro pilot were matched to procedure types in the RAD-IR study. Fifteen comparisons were made. Distribution parameters, including the 10th, 25th, 50th, 75th, and 95th percentiles, were compared for fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA). Two derived indices were computed using median …

Patient Radiation Doses In Ir Procedures: The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To update normative data on fluoroscopy dose indices in the United States for the first time since the Radiation Doses in Interventional Radiology study in the late 1990s.

Materials and methods: The Dose Index Registry-Fluoroscopy pilot study collected data from March 2018 through December 2019, with 50 fluoroscopes from 10 sites submitting data. Primary radiation dose indices including fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA) were collected for interventional radiology fluoroscopically guided interventional (FGI) procedures. Clinical facility procedure names were mapped to the American College of Radiology (ACR) common procedure lexicon. Distribution parameters including …

Aerosolized Immunotherapeutic Nanoparticle Inhalation Potentiates Pd-L1 Blockade For Locally Advanced Lung Cancer, Yang Liu, William N Crowe, Lulu Wang, W Jeffrey Petty, Amyn A Habib, Dawen Zhao

Faculty, Staff and Student Publications

Despite therapeutic advancements, the prognosis of locally advanced non-small cell lung cancer (LANSCLC), which has invaded multiple lobes or the other lung and intrapulmonary lymph nodes, remains poor. The emergence of immunotherapy with immune checkpoint blockade (ICB) is transforming cancer treatment. However, only a fraction of lung cancer patients benefit from ICB. Significant clinical evidence suggests that the proinflammatory tumor microenvironment (TME) and programmed death-ligand 1 (PD-L1) expression correlate positively with response to the PD-1/PD-L1 blockade. We report here a liposomal nanoparticle loaded with cyclic dinucleotide and aerosolized (AeroNP-CDN) for inhalation delivery to deep-seated lung tumors and target CDN to …

Artificial Intelligence-Based Ct Assessment Of Bronchiectasis: The Copdgene Study, Alejandro A Díaz, Pietro Nardelli, Wei Wang, Rubén San José Estépar, Andrew Yen, Seth Kligerman, Diego J Maselli, Wojciech R Dolliver, Andrew Tsao, José L Orejas, Stefano Aliberti, Timothy R Aksamit, Kendra A Young, Gregory L Kinney, George R Washko, Edwin K Silverman, Raúl San José Estépar

Faculty, Staff and Student Publications

Background

CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent of this metric in CT scans.

Purpose

To determine the extent of AARs using an artificial intelligence–based chest CT and assess the association of AARs with exacerbations over time.

Materials and Methods

In a secondary analysis of ever-smokers from the prospective, observational, multicenter COPDGene study, AARs were quantified using an artificial intelligence tool. The percentage of airways with AAR greater than 1 (a measure of …

Comparative Analysis Of Dimension Reduction Methods For Cytometry By Time-Of-Flight Data, Kaiwen Wang, Yuqiu Yang, Fangjiang Wu, Bing Song, Xinlei Wang, Tao Wang

Faculty, Staff and Student Publications

While experimental and informatic techniques around single cell sequencing (scRNA-seq) are advanced, research around mass cytometry (CyTOF) data analysis has severely lagged behind. CyTOF data are notably different from scRNA-seq data in many aspects. This calls for the evaluation and development of computational methods specific for CyTOF data. Dimension reduction (DR) is one of the critical steps of single cell data analysis. Here, we benchmark the performances of 21 DR methods on 110 real and 425 synthetic CyTOF samples. We find that less well-known methods like SAUCIE, SQuaD-MDS, and scvis are the overall best performers. In particular, SAUCIE and scvis …

Tissue Specificity And Spatio-Temporal Dynamics Of The P53 Transcriptional Program, Vinod Pant, Chang Sun, Guillermina Lozano

Faculty, Staff and Student Publications

Transcription factors regulate hundreds of genes and p53 is no exception. As a stress responsive protein, p53 transactivates an array of downstream targets which define its role in maintaining physiological functions of cells/tissues. Despite decades of studies, our understanding of the p53 in vivo transcriptional program is still incomplete. Here we discuss some of the physiological stressors that activate p53, the pathological and physiological implications of p53 activation and the molecular profiling of the p53 transcriptional program in maintaining tissue homeostasis. We argue that the p53 transcriptional program is spatiotemporally regulated in a tissue-specific manner and define a p53 target …