Medicine and Health Sciences Commons^™

Disruption Of Growth Hormone Receptor Signaling Abrogates Hepatocellular Carcinoma Development, Abedul Haque, Vishal Sahu, Jamie Lynne Lombardo, Lianchun Xiao, Bhawana George, Robert A Wolff, Jeffrey S Morris, Asif Rashid, John J Kopchick, Ahmed O Kaseb, Hesham M Amin

Faculty, Staff and Student Publications

Introduction: Hepatocellular carcinoma (HCC) is the most common type of primary liver cancers. It is an aggressive neoplasm with dismal outcome because most of the patients present with an advanced-stage disease, which precludes curative surgical options. Therefore, these patients require systemic therapies that typically induce small improvements in overall survival. Hence, it is crucial to identify new and promising therapeutic targets for HCC to improve the current outcome. The liver is a key organ in the signaling cascade triggered by the growth hormone receptor (GHR). Previous studies have shown that GHR signaling stimulates the proliferation and regeneration of liver cells …

Editorial: The Role Of The Igf Axis In Tumorigenesis And Cancer Treatment: From Genes To Metabolites, Guo Mengzhe, Xie Shanshan, Zhao Di, Wu Shihua

Faculty, Staff and Student Publications

No abstract provided.

Blockade Of Growth Hormone Receptor Signaling By Using Pegvisomant: A Functional Therapeutic Strategy In Hepatocellular Carcinoma, Ahmed O Kaseb, Abedul Haque, Deeksha Vishwamitra, Manal M Hassan, Lianchun Xiao, Bhawana George, Vishal Sahu, Yehia I Mohamed, Roberto Carmagnani Pestana, Jamie Lynne Lombardo, Rony Avritscher, James C Yao, Robert A Wolff, Asif Rashid, Jeffrey S Morris, Hesham M Amin

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) is an aggressive neoplasm with poor clinical outcome because most patients present at an advanced stage, at which point curative surgical options, such as tumor excision or liver transplantation, are not feasible. Therefore, the majority of HCC patients require systemic therapy. Nonetheless, the currently approved systemic therapies have limited effects, particularly in patients with advanced and resistant disease. Hence, there is a critical need to identify new molecular targets and effective systemic therapies to improve HCC outcome. The liver is a major target of the growth hormone receptor (GHR) signaling, and accumulating evidence suggests that GHR signaling …

Multiagent Chemotherapy And Stereotactic Body Radiation Therapy In Patients With Unresectable Pancreatic Adenocarcinoma: A Prospective Nonrandomized Controlled Trial, Colin S Hill, Lauren Rosati, Hao Wang, Hua-Ling Tsai, Jin He, Amy Hacker-Prietz, Daniel A Laheru, Lei Zheng, Shuchi Sehgal, Vincent Bernard, Dung T Le, Timothy M Pawlik, Matthew J Weiss, Amol K Narang, Joseph M Herman

Faculty, Staff and Student Publications

PURPOSE: In a prospective multicenter study, gemcitabine monotherapy followed by stereotactic body radiation therapy (SBRT) was well tolerated with outcomes comparable to chemoradiation for locally advanced pancreatic cancer (LAPC). Recent trials have reported improved survival with multiagent chemotherapy (MA-CTX) alone. This prospective trial explored whether SBRT could be safely delivered after MA-CTX. Herein, we report the long-term outcomes of adding SBRT after MA-CTX in LAPC patients and evaluate whether genetic profiles of specimens obtained before SBRT influence outcomes.

METHODS AND MATERIALS: This prospective nonrandomized controlled phase 2 trial enrolled 44 LAPC and 4 locally recurrent patients after multidisciplinary evaluation between …

Allogeneic Hematopoietic Cell Transplantation For Patients With Blastic Plasmacytoid Dendritic Cell Neoplasm (Bpdcn), Qaiser Bashir, Denái R Milton, Uday R Popat, Partow Kebriaei, Chitra Hosing, Issa F Khouri, Katayoun Rezvani, Yago Nieto, Betul Oran, Samer A Srour, Neeraj Y Saini, Amanda L Olson, Sairah Ahmed, Gheath Al-Atrash, Gabriela Rondon, Marina Y Konopleva, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash, Naveen Pemmaraju

Faculty, Staff and Student Publications

Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN) is an aggressive hematological malignancy; however, some patients achieve durable remission with allogeneic hematopoietic cell transplantation (allo-HCT). We report on all 17 patients with BPDCN who underwent allo-HCT at our center between 2000 and 2020. The median age was 39 (18-67) years. All (n = 16, 94%), except one patient, had systemic disease involving bone marrow and/or other organs. Ten patients (59%) were in first complete remission (CR1) at allo-HCT. The donor source was matched related or unrelated in ten (59%) and alternate donor in seven (41%) patients. Five (31%) patients developed acute graft-versus-host …

Fadu Head And Neck Squamous Cell Carcinoma Induces Hyperexcitability Of Primary Sensory Neurons In An In Vitro Coculture Model, Megan L Uhelski, Aysegul Gorur, Ted Shi, German Corrales, Kim N Du, Yan Li, Moran Amit, Claudio E Tatsui, Laurence D Rhines, Patrick M Dougherty, Juan P Cata

Faculty, Staff and Student Publications

Introduction: Currently, cancer pain is viewed as a process orchestrated by the release of pronociceptive molecules and the invasion of neural structures, referred to as perineural invasion (PNI). Cancer pain resulting from PNI is well-documented, but the mechanisms leading to peripheral sensitization because of tumor growth are not fully known.

Methods: A retrospective study was used to examine how the use of anti-inflammatory medications affected preoperative pain in patients with oral squamous cell carcinoma cancer. We then used an in vitro coculture model in which dorsal root ganglion (DRG) neurons were incubated together with Fadu human head and neck squamous …

Targeting Mcl-1 Dysregulates Cell Metabolism And Leukemia-Stroma Interactions And Resensitizes Acute Myeloid Leukemia To Bcl-2 Inhibition, Bing Z Carter, Po Yee Mak, Wenjing Tao, Marc Warmoes, Philip L Lorenzi, Duncan Mak, Vivian Ruvolo, Lin Tan, Justin Cidado, Lisa Drew, Michael Andreeff

Faculty, Staff and Student Publications

MCL-1 and BCL-2 are both frequently overexpressed in acute myeloid leukemia and critical for the survival of acute myeloid leukemia cells and acute myeloid leukemia stem cells. MCL-1 is a key factor in venetoclax resistance. Using genetic and pharmacological approaches, we discovered that MCL-1 regulates leukemia cell bioenergetics and carbohydrate metabolisms, including the TCA cycle, glycolysis and pentose phosphate pathway and modulates cell adhesion proteins and leukemia-stromal interactions. Inhibition of MCL-1 sensitizes to BCL-2 inhibition in acute myeloid leukemia cells and acute myeloid leukemia stem/progenitor cells, including those with intrinsic and acquired resistance to venetoclax through cooperative release of pro-apoptotic …

Application Of Artificial Intelligence To Plasma Metabolomics Profiles To Predict Response To Neoadjuvant Chemotherapy In Triple-Negative Breast Cancer, Ehsan Irajizad, Ranran Wu, Jody Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M Rauch, Beatriz Adrada, Rosalind Candelaria, Jason B White, Abenaa Brewster, Banu Arun, James P Long, Kim Anh Do, Sam Hanash, Johannes F Fahrmann

Faculty, Staff and Student Publications

There is a need to identify biomarkers predictive of response to neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). We previously obtained evidence that a polyamine signature in the blood is associated with TNBC development and progression. In this study, we evaluated whether plasma polyamines and other metabolites may identify TNBC patients who are less likely to respond to NACT. Pre-treatment plasma levels of acetylated polyamines were elevated in TNBC patients that had moderate to extensive tumor burden (RCB-II/III) following NACT compared to those that achieved a complete pathological response (pCR/RCB-0) or had minimal residual disease (RCB-I). We further applied …

Increasing Referral Of At-Risk Women For Genetic Counseling And Brca Testing Using A Screening Tool In A Community Breast Imaging Center, Banu K Arun, Susan K Peterson, Lilian E Sweeney, Rachel D Bluebond, Rebecca S S Tidwell, Sukh Makhnoon, Anne C Kushwaha

Faculty, Staff and Student Publications

BACKGROUND: Genetic evaluation and testing for hereditary breast and ovarian cancer (HBOC) remain suboptimal. The authors evaluated the feasibility of using a screening tool at a breast imaging center to increase HBOC assessment referrals.

METHODS: A brief questionnaire based on the National Comprehensive Cancer Network HBOC genetic counseling referral guidelines was developed and added to the standard intake forms of patients undergoing mammography at a community breast imaging center from 2012 through 2015. Patients who met the criteria in the guidelines were referred for genetic counseling.

RESULTS: A total of 34,851 patients were screened during the study period, and 1246 …

Harmonization Of Multi-Scanner In Vivo Magnetic Resonance Spectroscopy: Enigma Consortium Task Group Considerations, Ashley D Harris, Houshang Amiri, Mariana Bento, Ronald Cohen, Christopher R K Ching, Christina Cudalbu, Emily L Dennis, Arne Doose, Stefan Ehrlich, Ivan I Kirov, Ralf Mekle, Georg Oeltzschner, Eric Porges, Roberto Souza, Friederike I Tam, Brian Taylor, Paul M Thompson, Yann Quidé, Elisabeth A Wilde, John Williamson, Alexander P Lin, Brenda Bartnik-Olson

Faculty, Staff and Student Publications

Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impact, however, has been limited due to small sample sizes and methodological variability in addition to intrinsic limitations of the method itself such as its sensitivity to motion. The lack of standardization from a data acquisition and data processing perspective makes it difficult to pool multiple studies and/or conduct multisite studies that are necessary for supporting clinically relevant findings. Based on the experience of the ENIGMA MRS …

Elastic Shape Analysis Of Brain Structures For Predictive Modeling Of Ptsd, Yuexuan Wu, Suprateek Kundu, Jennifer S Stevens, Negar Fani, Anuj Srivastava

Faculty, Staff and Student Publications

It is well-known that morphological features in the brain undergo changes due to traumatic events and associated disorders such as post-traumatic stress disorder (PTSD). However, existing approaches typically offer group-level comparisons, and there are limited predictive approaches for modeling behavioral outcomes based on brain shape features that can account for heterogeneity in PTSD, which is of paramount interest. We propose a comprehensive shape analysis framework representing brain sub-structures, such as the hippocampus, amygdala, and putamen, as parameterized surfaces and quantifying their shape differences using an elastic shape metric. Under this metric, we compute shape summaries (mean, covariance, PCA) of brain …

Urinary T Cells Are Detected In Patients With Immune Checkpoint Inhibitor-Associated Immune Nephritis That Are Clonotypically Identical To Kidney T Cell Infiltrates, Shailbala Singh, Leticia C Clemente, Edwin R Parra, Amanda Tchakarov, Chao Yang, Yisheng Li, James P Long, Cassian Yee, Jamie S Lin

Faculty, Staff and Student Publications

Acute kidney injury (AKI) occurs in ~20% of patients receiving immune checkpoint inhibitor (ICI) therapy; however, only 2-5% will develop ICI-mediated immune nephritis. Conventional tests are nonspecific in diagnosing disease pathology and invasive procedures (i.e. kidney biopsy) may not be feasible. In other autoimmune renal diseases, urinary immune cells correlated with the pathology or were predictive of disease activity. Corresponding evidence and analysis are absent for ICI-mediated immune nephritis. We report the first investigation analyzing immune cell profiles of matched kidney biopsies and urine of patients with ICI-AKI. We demonstrated the presence of urinary T cells in patients with immune …

Doxorubicin-Induced Cardiotoxicity Is Mediated By Neutrophils Through Release Of Neutrophil Elastase, Anchit Bhagat, Pradeep Shrestha, Prince Jeyabal, Zhanglong Peng, Stephanie S Watowich, Eugenie S Kleinerman

Faculty, Staff and Student Publications

The mechanisms by which Doxorubicin (Dox) causes acute and late cardiotoxicity are not completely understood. One understudied area is the innate immune response, and in particular the role of neutrophils in Dox-induced cardiotoxicity. Here, using echocardiography, flow cytometry and immunofluorescence staining, we demonstrated increased infiltration of neutrophils that correlated with decreased heart function, disruption of vascular structures and increased collagen deposition in the heart after Dox treatment. Depleting neutrophils protected the heart from Dox-induced cardiotoxicity and changes in vascular structure. Furthermore, our data using neutrophil elastase (NE) knock-out mice and the NE inhibitor AZD9668 suggest that neutrophils cause this damage …

Donor Selection For Kir Alloreactivity Is Associated With Superior Survival In Haploidentical Transplant With Ptcy, Jun Zou, Piyanuch Kongtim, Samer A Srour, Uri Greenbaum, Johannes Schetelig, Falk Heidenreich, Henning Baldauf, Brandt Moore, Supawee Saengboon, Yudith Carmazzi, Gabriela Rondon, Qing Ma, Katayoun Rezvani, Elizabeth J Shpall, Richard E Champlin, Stefan O Ciurea, Kai Cao

Faculty, Staff and Student Publications

With the continuous increase in the use of haploidentical donors for transplantation, the selection of donors becomes increasingly important. Haploidentical donors have been selected primarily based on clinical characteristics, while the effects of killer cell immunoglobulin-like receptors (KIRs) on outcomes of haploidentical-hematopoietic stem cell transplantation (haplo-HSCT) with post-transplant cyclophosphamide (PTCy) remain inconclusive. The present study aimed to thoroughly evaluate the effect of KIRs and binding ligands assessed by various models, in addition to other patient/donor variables, on clinical outcomes in haplo-HSCT. In a cohort of 354 patients undergoing their first haplo-HSCT, we found that a higher Count Functional inhibitory KIR …

Neoadjuvant Checkpoint Inhibitor Immunotherapy For Resectable Mucosal Melanoma, Joel Ho, Jane Mattei, Michael Tetzlaff, Michelle D Williams, Michael A Davies, Adi Diab, Isabella C Glitza Oliva, Jennifer Mcquade, Sapna P Patel, Hussein Tawbi, Michael K Wong, Sarah B Fisher, Ehab Hanna, Emily Z Keung, Merrick Ross, Roi Weiser, Shirley Y Su, Michael Frumovitz, Larissa A Meyer, Amir Jazaeri, Curtis A Pettaway, B Ashleigh Guadagnolo, Andrew J Bishop, Devarati Mitra, Ahsan Farooqi, Roland Bassett, Silvana Faria, Priyadharsini Nagarajan, Rodabe N Amaria

Faculty, Staff and Student Publications

BACKGROUND: Neoadjuvant checkpoint inhibition (CPI) has recently demonstrated impressive outcomes in patients with stage 3 cutaneous melanoma. However, the safety, efficacy, and outcome of neoadjuvant CPI in patients with mucosal melanoma (MM) are not well studied as MM is a rare melanoma subtype. CPI such as combination nivolumab and ipilimumab achieves response rates of 37-43% in unresectable or metastatic MM but there is limited data regarding the efficacy of these agents in the preoperative setting. We hypothesize that neoadjuvant CPI is a safe and feasible approach for patients with resectable MM.

METHOD: Under an institutionally approved protocol, we identified adult …

Distal-Less Homeobox Genes Dlx5/6 Regulate Müllerian Duct Regression, Rachel D Mullen, Brice Bellessort, Giovanni Levi, Richard R Behringer

Faculty, Staff and Student Publications

Dlx5 and Dlx6 encode distal-less homeodomain transcription factors that are present in the genome as a linked pair at a single locus. Dlx5 and Dlx6 have redundant roles in craniofacial, skeletal, and uterine development. Previously, we performed a transcriptome comparison for anti-Müllerian hormone (AMH)-induced genes expressed in the Müllerian duct mesenchyme of male and female mouse embryos. In that study, we found that Dlx5 transcripts were nearly seven-fold higher in males compared to females and Dlx6 transcripts were found only in males, suggesting they may be AMH-induced genes. Therefore, we investigated the role of Dlx5 and Dlx6 during AMH-induced Müllerian …

Emerging Current Trends And Research Focus Related To Pancreatic Cancer Metabolism: A Bibliometric And Visualized Analysis, Qian Shen, Chuanlong Zhang, Xiaochen Jiang, Junchen Li, Fudong Liu, Xiyuan Zhang, Ge'er En, Bo Pang

Faculty, Staff and Student Publications

BACKGROUND: As a malignant digestive system tumor, pancreatic cancer has unique metabolic characteristics. In recent years, the study of pancreatic cancer metabolism is in full swing, which provides a new direction for the treatment of pancreatic cancer patients. However, there is no systematic report of pancreatic cancer metabolism. In this paper, bibliometrics and visualization methods were used to analyze the number of publications, countries/regions, authors, institutions, journals, co-cited references, and keywords of pancreatic cancer metabolism articles, to summarize the research trends and predict research hotspots.

METHODS: We searched, screened and downloaded articles on pancreatic cancer metabolism through the Web of …

Clinical Implementation And Initial Experience With A 15 Tesla Mr-Linac For Mr-Guided Radiation Therapy For Gynecologic Cancer: An R-Ideal Stage 1 And 2a First In Humans Feasibility Study Of New Technology Implementation, David S Lakomy, Jinzhong Yang, Sastry Vedam, Jihong Wang, Belinda Lee, Angela Sobremonte, Pamela Castillo, Neil Hughes, Mustefa Mohammedsaid, Anuja Jhingran, Ann H Klopp, Seungtaek Choi, C David Fuller, Lilie L Lin

Faculty, Staff and Student Publications

PURPOSE: Magnetic resonance imaging-guided linear accelerator systems (MR-linacs) can facilitate the daily adaptation of radiation therapy plans. Here, we report our early clinical experience using a MR-linac for adaptive radiation therapy of gynecologic malignancies.

METHODS AND MATERIALS: Treatments were planned with an Elekta Monaco v5.4.01 and delivered by a 1.5 Tesla Elekta Unity MR-linac. The system offers a choice of daily adaptation based on either position (ATP) or shape (ATS) of the tumor and surrounding normal structures. The ATS approach has the option of manually editing the contours of tumors and surrounding normal structures before the plan is adapted. Here, …

Glioma And The Gut-Brain Axis: Opportunities And Future Perspectives, Antonio Dono, Jack Nickles, Ana G Rodriguez-Armendariz, Braden C Mcfarland, Nadim J Ajami, Leomar Y Ballester, Jennifer A Wargo, Yoshua Esquenazi

Faculty, Staff and Student Publications

The gut-brain axis has presented a valuable new dynamic in the treatment of cancer and central nervous system (CNS) diseases. However, little is known about the potential role of this axis in neuro-oncology. The goal of this review is to highlight potential implications of the gut-brain axis in neuro-oncology, in particular gliomas, and future areas of research. The gut-brain axis is a well-established biochemical signaling axis that has been associated with various CNS diseases. In neuro-oncology, recent studies have described gut microbiome differences in tumor-bearing mice and glioma patients compared to controls. These differences in the composition of the microbiome …

A Novel Group Of Genes That Cause Endocrine Resistance In Breast Cancer Identified By Dynamic Gene Expression Analysis, Arvand Asghari, Katherine Wall, Michael Gill, Natascha Del Vecchio, Farnaz Allahbakhsh, Jacky Wu, Nan Deng, W Jim Zheng, Hulin Wu, Michihisa Umetani, Vahed Maroufy

Faculty, Staff and Student Publications

Breast cancer (BC) is the most common type of cancer diagnosed in women. Among female cancer deaths, BC is the second leading cause of death worldwide. For estrogen receptor-positive (ER-positive) breast cancers, endocrine therapy is an effective therapeutic approach. However, in many cases, an ER-positive tumor becomes unresponsive to endocrine therapy, and tumor regrowth occurs after treatment. While some genetic mutations contribute to resistance in some patients, the underlying causes of resistance to endocrine therapy are mostly undetermined. In this study, we utilized a recently developed statistical approach to investigate the dynamic behavior of gene expression during the development of …

Effects Of Tamoxifen Inducible Mercremer On Gene Expression In Cardiac Myocytes In Mice, Leila Rouhi, Siyang Fan, Sirisha M Cheedipudi, Melis Olcum, Hyun-Hwan Jeong, Zhongming Zhao, Priyatansh Gurha, Ali J Marian

Faculty, Staff and Student Publications

The Cre-LoxP technology, including the tamoxifen (TAM) inducible MerCreMer (MCM), is increasingly used to delineate gene function, understand the disease mechanisms, and test therapeutic interventions. We set to determine the effects of TAM-MCM on cardiac myocyte transcriptome. Expression of the MCM was induced specifically in cardiac myocytes upon injection of TAM to myosin heavy chain 6-MCM (Myh6-Mcm) mice for 5 consecutive days. Cardiac function, myocardial histology, and gene expression (RNA-sequencing) were analyzed 2 weeks after TAM injection. A total of 346 protein coding genes (168 up- and 178 down-regulated) were differentially expressed. Transcript levels of 85 genes, analyzed …

An Ensemble-Based Deep Convolutional Neural Network For Computer-Aided Polyps Identification From Colonoscopy, Pallabi Sharma, Bunil Kumar Balabantaray, Kangkana Bora, Saurav Mallik, Kunio Kasugai, Zhongming Zhao

Faculty, Staff and Student Publications

Colorectal cancer (CRC) is the third leading cause of cancer death globally. Early detection and removal of precancerous polyps can significantly reduce the chance of CRC patient death. Currently, the polyp detection rate mainly depends on the skill and expertise of gastroenterologists. Over time, unidentified polyps can develop into cancer. Machine learning has recently emerged as a powerful method in assisting clinical diagnosis. Several classification models have been proposed to identify polyps, but their performance has not been comparable to an expert endoscopist yet. Here, we propose a multiple classifier consultation strategy to create an effective and powerful classifier for …

A Deep Learning-Based Framework For Supporting Clinical Diagnosis Of Glioblastoma Subtypes, Sana Munquad, Tapas Si, Saurav Mallik, Asim Bikas Das, Zhongming Zhao

Faculty, Staff and Student Publications

Understanding molecular features that facilitate aggressive phenotypes in glioblastoma multiforme (GBM) remains a major clinical challenge. Accurate diagnosis of GBM subtypes, namely classical, proneural, and mesenchymal, and identification of specific molecular features are crucial for clinicians for systematic treatment. We develop a biologically interpretable and highly efficient deep learning framework based on a convolutional neural network for subtype identification. The classifiers were generated from high-throughput data of different molecular levels, i.e., transcriptome and methylome. Furthermore, an integrated subsystem of transcriptome and methylome data was also used to build the biologically relevant model. Our results show that deep learning model outperforms …

Crucial Roles Of Microrna-16-5p And Microrna-27b-3p In Ameloblast Differentiation Through Regulation Of Genes Associated With Amelogenesis Imperfecta, Akiko Suzuki, Hiroki Yoshioka, Teng Liu, Aania Gull, Naina Singh, Thanh Le, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Amelogenesis imperfecta is a congenital disorder within a heterogeneous group of conditions characterized by enamel hypoplasia. Patients suffer from early tooth loss, social embarrassment, eating difficulties, and pain due to an abnormally thin, soft, fragile, and discolored enamel with poor aesthetics and functionality. The etiology of amelogenesis imperfecta is complicated by genetic interactions. To identify mouse amelogenesis imperfecta-related genes (mAIGenes) and their respective phenotypes, we conducted a systematic literature review and database search and found and curated 70 mAIGenes across all of the databases. Our pathway enrichment analysis indicated that these genes were enriched in tooth development-associated pathways, forming four …

Sulfhemoglobinemia And Methemoglobinemia Following Acetaminophen Overdose, Justin A Seltzer, Irvan Bubic, Garret A Winkler, Nathan A Friedman, Jessica Bagby, Christian A Tomaszewski, Richard F Clark, Allyson Kreshak, Daniel R Lasoff

Faculty, Staff and Student Publications

INTRODUCTION: Though acetaminophen overdoses are common, acetaminophen induced methemoglobinemia is rare and it is thought to be due to oxidative stress from reactive metabolites. However, few prior cases of sulfhemoglobinemia in the setting of acetaminophen overdose have been reported. We report a case of mixed methemoglobinemia and sulfhemoglobinemia in the setting of a large, isolated acetaminophen ingestion.

CASE REPORT: A 30-year-old African American male presented after intentionally ingesting 50 tablets of 500 mg acetaminophen two days prior. He was cyanotic and tachypneic. Peripheral oxygen saturation was 78 % on room air and minimally improved with high-flow oxygen. He was noted …

Dimensionality Reduction And Louvain Agglomerative Hierarchical Clustering For Cluster-Specified Frequent Biomarker Discovery In Single-Cell Sequencing Data, Soumita Seth, Saurav Mallik, Tapas Bhadra, Zhongming Zhao

Faculty, Staff and Student Publications

The major interest domains of single-cell RNA sequential analysis are identification of existing and novel types of cells, depiction of cells, cell fate prediction, classification of several types of tumor, and investigation of heterogeneity in different cells. Single-cell clustering plays an important role to solve the aforementioned questions of interest. Cluster identification in high dimensional single-cell sequencing data faces some challenges due to its nature. Dimensionality reduction models can solve the problem. Here, we introduce a potential cluster specified frequent biomarkers discovery framework using dimensionality reduction and hierarchical agglomerative clustering Louvain for single-cell RNA sequencing data analysis. First, we pre-filtered …

Explanation-Driven Deep Learning Model For Prediction Of Brain Tumour Status Using Mri Image Data, Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Cancer research has seen explosive development exploring deep learning (DL) techniques for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We have observed a substantial gap in explanation, interpretability, and high accuracy for DL models. Consequently, we propose an explanation-driven DL model by utilising a convolutional neural network (CNN), local interpretable model-agnostic explanation (LIME), and Shapley additive explanation (SHAP) for the prediction of discrete subtypes of brain tumours (meningioma, glioma, and pituitary) using an MRI image dataset. Unlike previous models, our model used a dual-input CNN approach to prevail over the classification challenge with images of inferior quality …

Breast Cancer Detection: Shallow Convolutional Neural Network Against Deep Convolutional Neural Networks Based Approach, Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Of all the cancers that afflict women, breast cancer (BC) has the second-highest mortality rate, and it is also believed to be the primary cause of the high death rate. Breast cancer is the most common cancer that affects women globally. There are two types of breast tumors: benign (less harmful and unlikely to become breast cancer) and malignant (which are very dangerous and might result in aberrant cells that could result in cancer).

Methods: To find breast abnormalities like masses and micro-calcifications, competent and educated radiologists often examine mammographic images. This study focuses on computer-aided diagnosis to help …

The Wnt/Β-Catenin Pathway Regulates Expression Of The Genes Involved In Cell Cycle Progression And Mitochondrial Oxidative Phosphorylation In The Postmitotic Cardiac Myocytes, Melis Olcum, Sirisha M Cheedipudi, Leila Rouhi, Siyang Fan, Hyun-Hwan Jeong, Zhongming Zhao, Priyatansh Gurha, Ali J Marian

Faculty, Staff and Student Publications

INTRODUCTION: Aging is associated with cardiac myocyte loss, sarcopenia, and cardiac dysfunction. Adult cardiac myocytes are postmitotic cells with an insufficient proliferative capacity to compensate for myocyte loss. The canonical WNT (cWNT) pathway is involved in the regulation of cell cycle reentry in various cell types. The effects of the cWNT pathway on the expression of genes involved in cell cycle reentry in the postmitotic cardiac myocytes are unknown.

AIM: The aim of the study was to identify genes whose expression is regulated by the β-catenin, the indispensable component to the cWNT signaling, in the postmitotic myocytes.

METHODS AND RESULTS: …

Prediction Of Intensive Care Unit Admission (>24h) After Surgery In Elective Noncardiac Surgical Patients Using Machine Learning Algorithms, Lan Lan, Fangwei Chen, Jiawei Luo, Mengjiao Li, Xuechao Hao, Yao Hu, Jin Yin, Tao Zhu, Xiaobo Zhou

Faculty, Staff and Student Publications

BACKGROUND: To develop a highly discriminative machine learning model for the prediction of intensive care unit admission (>24h) using the easily available preoperative information from electronic health records. An accurate prediction model for ICU admission after surgery is of great importance for surgical risk assessment and appropriate utilization of ICU resources.

METHOD: Data were collected retrospectively from a large hospital, comprising 135,442 adult patients who underwent surgery except for cardiac surgery between 1 January 2014, and 31 July 2018 in China. Multiple existing predictive machine learning algorithms were explored to construct the prediction model, including logistic regression, random forest, …