Life Sciences Commons^™

Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, And Beyond, Robert El-Kareh, Dean F Sittig

Faculty, Staff and Student Publications

Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to clinical decision support (CDS). A wide range of CDS interventions have been used in intensive care unit environments. The field needs well-designed studies to identify the most effective CDS approaches. Evolving artificial intelligence and machine learning models may reduce information-overload and enable teams to take better advantage of the large volume of patient data available to them. It is vital to effectively integrate new CDS into clinical workflows and to align closely with the cognitive processes of frontline clinicians.

Advances In Non-Invasive Biosensing Measures To Monitor Wound Healing Progression, Walker D Short, Oluyinka O Olutoye, Benjamin W Padon, Umang M Parikh, Daniel Colchado, Hima Vangapandu, Shayan Shams, Taiyun Chi, Jangwook P Jung, Swathi Balaji

Faculty, Staff and Student Publications

Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the wound. This drives either a regenerative or fibrotic and scar-forming healing outcome. Disruptions in ECM deposition, structure, and composition lead to impaired healing in diseased states, such as in diabetes. Valid measures of the principal determinants of successful ECM deposition and wound healing include lack of bacterial contamination, good tissue perfusion, and reduced mechanical injury and …

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 …

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 …

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, …

Distinguish Bipolar And Major Depressive Disorder In Adolescents Based On Multimodal Neuroimaging: Results From The Adolescent Brain Cognitive Development Stud, Yujun Liu, Kai Chen, Yangyang Luo, Jiqiu Wu, Qu Xiang, Li Peng, Jian Zhang, Weiling Zhao, Mingliang Li, Xiaobo Zhou

Faculty, Staff and Student Publications

BACKGROUND: Major depressive disorder and bipolar disorder in adolescents are prevalent and are associated with cognitive impairment, executive dysfunction, and increased mortality. Early intervention in the initial stages of major depressive disorder and bipolar disorder can significantly improve personal health.

METHODS: We collected 309 samples from the Adolescent Brain Cognitive Development study, including 116 adolescents with bipolar disorder, 64 adolescents with major depressive disorder, and 129 healthy adolescents, and employed a support vector machine to develop classification models for identification. We developed a multimodal model, which combined functional connectivity of resting-state functional magnetic resonance imaging and four anatomical measures of …

Prediction Of Fluid Intelligence From T1-W Mri Images: A Precise Two-Step Deep Learning Framework, Mingliang Li, Mingfeng Jiang, Guangming Zhang, Yujun Liu, Xiaobo Zhou

Faculty, Staff and Student Publications

The Adolescent Brain Cognitive Development (ABCD) Neurocognitive Prediction Challenge (ABCD-NP-Challenge) is a community-driven competition that challenges competitors to develop algorithms to predict fluid intelligence scores from T1-w MRI images. In this work, a two-step deep learning pipeline is proposed to improve the prediction accuracy of fluid intelligence scores. In terms of the first step, the main contributions of this study include the following: (1) the concepts of the residual network (ResNet) and the squeeze-and-excitation network (SENet) are utilized to improve the original 3D U-Net; (2) in the segmentation process, the pixels in symmetrical brain regions are assigned the same label; …

Magi1 Inhibits Interferon Signaling To Promote Influenza A Infection, Yin Wang, Jun-Ichi Abe, Khanh M Chau, Yongxing Wang, Hang Thi Vu, Loka Reddy Velatooru, Fahad Gulraiz, Masaki Imanishi, Venkata S K Samanthapudi, Minh T H Nguyen, Kyung Ae Ko, Ling-Ling Lee, Tamlyn N Thomas, Elizabeth A Olmsted-Davis, Sivareddy Kotla, Keigi Fujiwara, John P Cooke, Di Zhao, Scott E Evans, Nhat-Tu Le

Faculty, Staff and Student Publications

We have shown that membrane-associated guanylate kinase with inverted domain structure-1 (MAGI1), a scaffold protein with six PSD95/DiscLarge/ZO-1 (PDZ) domains, is involved in the regulation of endothelial cell (EC) activation and atherogenesis in mice. In addition to causing acute respiratory disease, influenza A virus (IAV) infection plays an important role in atherogenesis and triggers acute coronary syndromes and fatal myocardial infarction. Therefore, the aim of this study is to investigate the function and regulation of MAGI1 in IAV-induced EC activation. Whereas, EC infection by IAV increases MAGI1 expression, MAGI1 depletion suppresses IAV infection, suggesting that the induction of MAGI1 may …

The Potential Of Biology-Guided Radiation Therapy In Thoracic Cancer: A Preliminary Treatment Planning Study, Steven N Seyedin, Rostem Bassalow, Osama R Mawlawi, Lehendrick M Turner, Roshal R Patel, Samuel R Mazin, Oluwaseyi M Oderinde, Yevgen Voronenko, Cody A Wages, Peter D Olcott, Joe Y Chang, Peter A Balter, James W Welsh

Faculty, Staff and Student Publications

PURPOSE: We investigated the feasibility of biology-guided radiotherapy (BgRT), a technique that utilizes real-time positron emission imaging to minimize tumor motion uncertainties, to spare nearby organs at risk.

METHODS: Volumetric modulated arc therapy (VMAT), intensity-modulated proton (IMPT) therapy, and BgRT plans were created for a paratracheal node recurrence (case 1; 60 Gy in 10 fractions) and a primary peripheral left upper lobe adenocarcinoma (case 2; 50 Gy in four fractions).

RESULTS: For case 1, BgRT produced lower bronchus V40 values compared to VMAT and IMPT. For case 2, total lung V20 was lower in the BgRT case compared to VMAT …

A Transgenic Bacterial Artificial Chromosome Approach To Identify Regulatory Regions That Direct Amhr2 And Osterix Expression In Müllerian Duct Mesenchyme, Malcolm M Moses, Rachel D Mullen, Daniel I Idowu, Peter Maye, Soazik P Jamin, Richard R Behringer

Faculty, Staff and Student Publications

A transgenic mouse approach using bacterial artificial chromosomes (BAC) was used to identify regulatory regions that direct Müllerian duct expression for Amhr2 and Osterix (Osx, also known as Sp7). Amhr2 encodes the receptor that mediates anti-Müllerian hormone (AMH) signaling for Müllerian duct regression in male embryos. Amhr2 is expressed in the Müllerian duct mesenchyme of both male and female embryos. A ∼147-kb BAC clone containing the Amhr2 locus was used to generate transgenic mice. The transgene was able to rescue the block in Müllerian duct regression of Amhr2-null males, suggesting that the BAC clone contains regulatory …

Genetic Variants Associated With Circulating Liver Injury Markers In Mexican Americans, A Population At Risk For Non-Alcoholic Fatty Liver Disease, Caroline M Sabotta, Suet-Ying Kwan, Lauren E Petty, Jennifer E Below, Aron Joon, Peng Wei, Susan P Fisher-Hoch, Joseph B Mccormick, Laura Beretta

Faculty, Staff and Student Publications

Objective: Mexican Americans are disproportionally affected by non-alcoholic fatty liver disease (NAFLD), liver fibrosis and hepatocellular carcinoma. Noninvasive means to identify those in this population at high risk for these diseases are urgently needed. Approach: The Cameron County Hispanic Cohort (CCHC) is a population-based cohort with high rates of obesity (51%), type 2 diabetes (28%) and NAFLD (49%). In a subgroup of 564 CCHC subjects, we evaluated 339 genetic variants previously reported to be associated with liver injury markers aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in United Kingdom and Japanese cohorts. Results: Association was confirmed for 86 variants. Among …

Complexities And Complications Of Extreme Obesity, Haval Ali, Udit Naik, Michelle Mcdonald, Mohammad Almosa, Karen Horn, Alexis Staines, Louis Maximilian Buja

Faculty, Staff and Student Publications

Obesity is a common chronic disorder and has detrimental long-term consequences if left untreated. Herein, we report a case of a young lady who suffered from morbid obesity and many of its consequences, and we present a literature review of these complications. While the cause of obesity is multifactorial, the genetic component is particularly important in the pathophysiology of marked obesity. Resistance to Leptin is considered one of the main causes of obesity. There is a unique relationship between polycystic ovary syndrome and obesity, as observed in our case. Obesity is associated with cardiovascular and lung diseases such as heart …

Patients' Preferences For Androgen Deprivation Therapy In The Treatment Of Intermediate-Risk Prostate Cancer, Brian De, Lisa M Lowenstein, Kelsey L Corrigan, Lauren M Andring, Deborah A Kuban, Scott B Cantor, Robert J Volk, Karen E Hoffman

Faculty, Staff and Student Publications

Background. For men with intermediate-risk prostate cancer (IRPC), adding short-term androgen deprivation therapy (ADT) to external beam radiation therapy (EBRT) has shown efficacy, but men are often reluctant to accept it because of its impact on quality of life. Methods. We conducted time tradeoffs (score of 1 = perfect health and 0 = death) and probability tradeoffs with patients aged 51 to 78 y who had received EBRT for IRPC within the past 2 y. Of 40 patients, 20 had received 6 mo of ADT and 20 had declined. Utility assessments explored 4 ADT-related side effects: hot flashes, fatigue, loss …

Predicting Clinical Response To Everolimus In Er+ Breast Cancers Using Machine-Learning, Aritro Nath, Patrick A Cosgrove, Jeffrey T Chang, Andrea H Bild

Faculty, Staff and Student Publications

Endocrine therapy remains the primary treatment choice for ER+ breast cancers. However, most advanced ER+ breast cancers ultimately develop resistance to endocrine. This acquired resistance to endocrine therapy is often driven by the activation of the PI3K/AKT/mTOR signaling pathway. Everolimus, a drug that targets and inhibits the mTOR complex has been shown to improve clinical outcomes in metastatic ER+ breast cancers. However, there are no biomarkers currently available to guide the use of everolimus in the clinic for progressive patients, where multiple therapeutic options are available. Here, we utilized gene expression signatures from 9 ER+ breast cancer cell lines and …

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 …

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 …

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 …

A Multicenter Study Of Icu Resource Utilization In Pediatric, Adolescent And Young Adult Patients Post Car-T Therapy, Dristhi Ragoonanan, Saleh Bhar, Gopi Mohan, Fernando Beltramo, Sajad J Khazal, Caitlin Hurley, Clark Andersen, Steven Margossian, Sattva S Neelapu, Elizabeth Shpall, Cristina Gutierrez, Priti Tewari, Basirat Shoberu, Aimee Talleur, David Mccall, Cesar Nunez, Branko Cuglievan, Francesco Paolo Tambaro, Demetrios Petropoulos, Hisham Abdel-Azim, Kris M Mahadeo

Faculty, Staff and Student Publications

Tisagenlecleucel is associated with remarkable outcomes in treating patients up to the age of 25 years with refractory B-cell acute lymphoblastic leukemia (ALL). Yet, due to unique and potentially life-threatening complications, access remains limited to higher-resource and certified centers. Reports of inequity and related disparities in care are emerging. In this multicenter study of ALL patients admitted for anti-leukemia therapy, who required pediatric intensive care (ICU) support (n = 205), patients receiving tisagenlecleucel (n = 39) were compared to those receiving conventional chemotherapy (n = 166). The median time to ICU transfer was 6 (0-43) versus 1 (0-116) days, respectively …

Immune Checkpoint Inhibitor-Related Gastrointestinal Toxicity In Patients With Malignancy Involving The Luminal Gastrointestinal Tract And Its Impact On Cancer Outcomes, Kevin Yu, Antony Mathew, Fiyinfoluwa Abraham, Rajan Amin, Miho Kono, Michael Overman, Dan Zhao, Anam Khan, Muhammad A Khan, Anusha S Thomas, Yinghong Wang

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICI) are known to cause immune-related adverse events (irAE) with the gastrointestinal (GI) tract among the most affected. Our knowledge of GI irAE in patients with luminal GI malignancies is poor. We aimed to characterize the incidence, clinical features, treatment, and outcomes of these GI irAEs.

Methods: This was a retrospective study of patients with malignancies involving the luminal GI tract and GI irAEs at MD Anderson Cancer Center from January 2010 to June 2020. Clinical data were collected and analyzed.

Results: Eighteen patients with luminal GI tract malignancies treated with ICIs had evidence of GI …

Update On Mri In Evaluation And Treatment Of Endometrial Cancer, Ekta Maheshwari, Stephanie Nougaret, Erica B Stein, Gaiane M Rauch, Ken-Pin Hwang, R Jason Stafford, Ann H Klopp, Pamela T Soliman, Katherine E Maturen, Andrea G Rockall, Susanna I Lee, Elizabeth A Sadowski, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Endometrial cancer is the second most common gynecologic cancer worldwide and the most common gynecologic cancer in the United States, with an increasing incidence in high-income countries. Although the International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer is a surgical staging system, contemporary published evidence-based data and expert opinions recommend MRI for treatment planning as it provides critical diagnostic information on tumor size and depth, extent of myometrial and cervical invasion, extrauterine extent, and lymph node status, all of which are essential in choosing the most appropriate therapy. Multiparametric MRI using a combination of T2-weighted sequences, …

Highlights From The 7th Oncological Pathology Conference 'Pathological Anatomy In The Context Of The National Cancer Law: An Overview Of The Latin American Experience', 15, 22 And 23 July 2022, Trujillo, Peru, Caddie Laberiano-Fernández, Joan Moreno Luján, Bruno De Carvalho Dornelas, Magali Franco Benites, Patricia Gutiérrez Quispe, Valeria Aguilar Vásquez, Andric Guerrero Espinoza, Elsa Guerra Guerra, Gabriela Gil-Arroyo Álvarez, Juan Astigueta-Pérez, Maria Teresa Garcia De Dávila, Sandro Casavilca Zambrano, Tatiana Vidaurre Rojas, Alejandro Mariños, Emmanuel S González, Rossana Lazcano, Ricardo R Lastra, Isabel Alvarado-Cabrero, Henry Guerra Miller, Ricardo H Bardales, Milagros Abad-Licham

Faculty, Staff and Student Publications

The seventh session of the Oncological Pathology Conference (JoPaO) entitled 'Pathological Anatomy in the context of the National Cancer Law: An overview of the Latin American experience', was held virtually on July 15, 22 and 23. Peru was the headquarters for this event, where 17 national and international professors of high academic standing participated. They interacted in a multidisciplinary context through talks with national panellists and the general public. The recent promulgation of the 'National Cancer Law' fosters the development of discussion forums to analyse the national realities and uphold continuous learning about experiences in other Latin American countries with …

Electroacupuncture Ameliorates Inflammatory Response Induced By Retinal Ischemia-Reperfusion Injury And Protects The Retina Through The Dor-Bdnf/Trkb Pathway, Runjie Guo, Yongjie Zhang, Yue Geng, Ping Chen, Tiantian Fu, Yong Xia, Ren Zhang, Yuan Zhu, Jingling Jin, Nange Jin, Hong Xu, Xuesong Tian

Faculty, Staff and Student Publications

Objectives: Retinal ischemia-reperfusion injury (RIRI) is the common pathological basis of many ophthalmic diseases in the later stages, and inflammation is the primary damage mechanism of RIRI. Our study aimed to assess whether electroacupuncture (EA) has a protective effect against RIRI and to elucidate its related mechanisms.

Methods: A high-intraocular pressure (HIOP) model was used to simulate RIRI in Wistar rats. EA was applied to the EA1 group [Jingming (BL1) + Shuigou (GV26)] and the EA2 group [Jingming (BL1) + Hegu (LI4)] respectively for 30 min starting immediately after the onset of reperfusion and repeated (30 min/time) at 12 h …

Use Of Specific Duodenal Dose Constraints During Treatment Planning Reduces Toxicity After Definitive Paraaortic Radiation Therapy For Cervical Cancer, David S Lakomy, Juliana Wu, Bhavana V Chapman, Zhiqian Henry Yu, Belinda Lee, Ann H Klopp, Anuja Jhingran, Patricia J Eifel, Lilie L Lin

Faculty, Staff and Student Publications

Purpose: This study aimed to validate the safety of paraaortic nodal (PAN) radiation therapy (RT) for patients with cervical cancer when the duodenal dose is limited to V55 < 15 cm3 and V60 < 2 cm3.

Methods and materials: A total of 97 patients who were treated with RT for cervical cancer between 2010 and 2018 received at least 56 Gy to grossly involved PANs. Patients were treated with concurrent chemoradiation (n = 88; 91%), with 93% of patients (n = 90) receiving intensity modulated RT to the initial PAN field and 98% (n = 95) receiving intensity modulated RT to a sequential PAN boost. The V55 < 15 cm3 and V60 < 2 cm3 criteria were implemented in 2014. Normal tissues were contoured on computed tomography (CT) simulation data sets, and the duodenum was contoured from the gastric outlet to the duodenojejunal flexure. Sixty-six patients (68%) had a resimulation scan after approximately 20 fractions. Composite duodenal doses were calculated using the initial CT scan for 50 patients (52%) and the resimulation CT scan for 47 patients (48%) depending on the anatomic changes throughout treatment.

Results: …

Clinical Characteristics And Outcomes Of Castleman Disease: A Multicenter Consortium Study Of 428 Patients With 15-Year Follow-Up, Wanying Liu, Qingqing Cai, Tiantian Yu, Paolo Strati, Frederick B Hagemeister, Qiongli Zhai, Mingzhi Zhang, Ling Li, Xiaosheng Fang, Jianyong Li, Ruifang Sun, Shanxiang Zhang, Hanjin Yang, Zhaoming Wang, Wenbian Qian, Noriko Iwaki, Yasuharu Sato, Eric Oksenhendler, Zijun Y Xu-Monette, Ken H Young, Li Yu

Faculty, Staff and Student Publications

Castleman disease (CD) has been reported as a group of poorly understood lymphoproliferative disorders, including unicentric CD (UCD) and idiopathic multicentric CD (iMCD) which are human immunodeficiency virus (HIV) negative and human herpes virus 8 (HHV-8) negative. The clinical and independent prognostic factors of CD remain poorly elucidated. We retrospectively collected the clinical information of 428 patients with HIV and HHV-8 negative CD from 12 large medical centers with 15-year follow-up. We analyzed the clinicopathologic features of 428 patients (248 with UCD and 180 with iMCD) with a median age of 41 years. The histology subtypes were hyaline-vascular (HV) histopathology …

Targetable Vulnerability Of Deregulated Foxm1/Plk1 Signaling Axis In Diffuse Large B Cell Lymphoma, Fang Yu, Hua He, Loretta J Nastoupil, Zijun Y Xu-Monette, Ky Pham, Yong Liang, Guang Chen, Nathan H Fowler, C Cameron Yin, Dongfeng Tan, Yaling Yang, Shimin Hu, Ken H Young, Lan V Pham, M James You

Faculty, Staff and Student Publications

FOXM1 is a transcription factor that controls cell cycle regulation, cell proliferation, and differentiation. Overexpression of FOXM1 has been implicated in various cancer types. However, the activation status and functional significance of FOXM1 in diffuse large B cell lymphoma (DLBCL) have not been well investigated. Using proteomic approaches, we discovered that the protein expression levels of FOXM1 and PLK1 were positively correlated in DLBCL cell lines and primary DLBCL. Expression levels of FOXM1 and PLK1 mRNAs were also significantly higher in DLBCL than in normal human B cells and could predict poor prognosis of DLBCL, particularly in patients with germinal …