Genetic Phenomena Commons^™

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.

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 …

A Deep-Learning-Based Dose Verification Tool Utilizing Fluence Maps For A Cobalt-60 Compensator-Based Intensity-Modulated Radiation Therapy System, Kyuhak Oh, Mary P Gronberg, Tucker J Netherton, Bishwambhar Sengupta, Carlos E Cardenas, Laurence E Court, Eric C Ford

Faculty, Staff and Student Publications

Background and purpose: A novel cobalt-60 compensator-based intensity-modulated radiation therapy (IMRT) system was developed for a resource-limited environment but lacked an efficient dose verification algorithm. The aim of this study was to develop a deep-learning-based dose verification algorithm for accurate and rapid dose predictions.

Materials and methods: A deep-learning network was employed to predict the doses from static fields related to beam commissioning. Inputs were a cube-shaped phantom, a beam binary mask, and an intersecting volume of the phantom and beam binary mask, while output was a 3-dimensional (3D) dose. The same network was extended to predict patient-specific doses for …

Prediction Of Survival With Lower Intensity Therapy Among Older Patients With Acute Myeloid Leukemia, Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi, Keyur P Patel, Guillermo Montalban-Bravo, Lucia Masarova, Courtney D Dinardo, Hagop M Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

METHODS: The authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

RESULTS: In the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated …

The Outcomes Of Patients With Chronic Myeloid Leukemia Treated With Third-Line Bcr::Abl1 Tyrosine Kinase Inhibitors, Elias J Jabbour, Koji Sasaki, Fadi G Haddad, Ghayas C Issa, Guillermo Garcia-Manero, Tapan M Kadia, Nitin Jain, Musa Yilmaz, Courtney D Dinardo, Keyur P Patel, Rashmi Kanagal-Shamanna, Richard Champlin, Issa F Khouri, Sara Dellasala, Sherry A Pierce, Hagop Kantarjian

Faculty, Staff and Student Publications

The BCR::ABL1 tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with chronic myeloid leukemia (CML). After failing second-generation TKI (2G-TKI), the optimal third-line therapy in chronic phase CML (CML-CP) is not well established. We analyzed 354 patients with CML-CP treated with a third-line BCR::ABL1 TKI at our institution, and in the PACE and OPTIC trials, and evaluated the outcome after alternate 2G-TKIs or ponatinib. We performed a propensity score matching analysis to compare outcomes and multivariate analysis to identify variables associated with survival. One hundred seventy-three (49%) patients received 2G-TKIs and 181 (51%) ponatinib. Patients in the ponatinib …

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate 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, …

Genomic-Transcriptomic Evolution In Lung Cancer And Metastasis, Carlos Martínez-Ruiz, James R M Black, Clare Puttick, Mark S Hill, Jonas Demeulemeester, Elizabeth Larose Cadieux, Kerstin Thol, Thomas P Jones, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Paulina Prymas, Andrew Rowan, Sophia Ward, Laura Cubitt, Foteini Athanasopoulou, Oriol Pich, Takahiro Karasaki, David A Moore, Roberto Salgado, Emma Colliver, Carla Castignani, Michelle Dietzen, Ariana Huebner, Maise Al Bakir, Miljana Tanić, Thomas B K Watkins, Emilia L Lim, Ali M Al-Rashed, Danny Lang, James Clements, Daniel E Cook, Rachel Rosenthal, Gareth A Wilson, Alexander M Frankell, Sophie De Carné Trécesson, Philip East, Nnennaya Kanu, Kevin Litchfield, Nicolai J Birkbak, Allan Hackshaw, Stephan Beck, Peter Van Loo, Mariam Jamal-Hanjani, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression …

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 …

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 …

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 …

Axicabtagene Ciloleucel In Relapsed Or Refractory Large B-Cell Lymphoma Patients In Complete Metabolic Response, Andrew P Jallouk, Sushanth Gouni, Jason Westin, Lei Feng, Haleigh Mistry, Raphael E Steiner, Jinsu James, Mansoor Noorani, Sandra Horowitz, Nahum Puebla-Osorio, Luis E Fayad, Swaminathan P Iyer, Misha Hawkins, Christopher R Flowers, Sairah Ahmed, Loretta J Nastoupil, Partow Kebriaei, Elizabeth J Shpall, Sattva S Neelapu, Yago Nieto, Paolo Strati

Faculty, Staff and Student Publications

No abstract provided.

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 …

Letter To The Editor: Quality Criteria For Computational Models Predicting Individual Outcomes In Car-T Cell Therapy, Anna M Mc Laughlin, Cassian Yee

Faculty, Staff and Student Publications

No abstract provided.

Long-Term Outcomes Of Allogeneic Hematopoietic Cell Transplantation In Patients With Newly Diagnosed Multiple Myeloma, Aimaz Afrough, Leonard C Alsfeld, Denái R Milton, Ruby Delgado, Uday R Popat, Yago Nieto, Partow Kebriaei, Betul Oran, Neeraj Saini, Samer Srour, Chitra Hosing, Faisal H Cheema, Sairah Ahmed, Elisabet E Manasanch, Hans C Lee, Gregory P Kaufman, Krina K Patel, Donna M Weber, Robert Z Orlowski, Chelsea C Pinnix, Bouthaina S Dabaja, Sheeba K Thomas, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash, Qaiser Bashir

Faculty, Staff and Student Publications

Despite remarkable progress in survival with the availability of novel agents, an overwhelming majority of patients with multiple myeloma (MM) have disease that relapses. Allogeneic (allo-) hematopoietic cell transplantation (HCT) is a potentially curative option for a subgroup of patients with high-risk MM. This study assessed the long-term outcome of MM patients who underwent allo-HCT while in first remission as consolidation treatment. Thirty-three patients with newly diagnosed MM who underwent allo-HCT as part of consolidation therapy between 1994 and 2016 were reviewed retrospectively. Of these patients, 70% underwent autologous HCT before allo-HCT. All patients were chemosensitive and achieved at least …

Venetoclax For Acute Myeloid Leukemia In Pediatric Patients: A Texas Medical Center Experience, Adriana Trabal, Amber Gibson, Jiasen He, David Mccall, Michael Roth, Cesar Nuñez, Miriam Garcia, Meredith Buzbee, Laurie Toepfer, Aram Bidikian, Naval Daver, Tapan Kadia, Nicholas J Short, Ghayas C Issa, Farhad Ravandi, Courtney D Dinardo, Guillermo Montalban Bravo, Sofia Garces, Andrea Marcogliese, Hana Paek, Zoann Dreyer, Julienne Brackett, Michele Redell, Joanna Yi, Guillermo Garcia-Manero, Marina Konopleva, Alexandra Stevens, Branko Cuglievan

Faculty, Staff and Student Publications

The BCL-2 inhibitor venetoclax improves survival for adult patients with acute myeloid leukemia (AML) in combination with lower-intensity therapies, but its benefit in pediatric patients with AML remains unclear. We retrospectively reviewed two Texas Medical Center institutions' experience with venetoclax in 43 pediatric patients with AML; median age 17 years (range, 0.6-21). This population was highly refractory; 44% of patients (n = 19) had ≥3 prior lines of therapy, 37% (n = 16) had received a prior bone marrow transplant, and 81% (n = 35) had unfavorable genetics KMT2A (n = 17), WT1 (n = 13), FLT3-ITD (n = 10), …

Health-Related Quality Of Life In Adolescents And Young Adults With Cancer Who Received Radiation Therapy: A Scoping Review, Kelsey L Corrigan, Bryce B Reeve, John M Salsman, Elizabeth J Siembida, Lauren M Andring, Yimin Geng, Ramez Kouzy, J Andrew Livingston, Susan K Peterson, Andrew J Bishop, Grace L Smith, Jillian R Gunther, Susan K Parsons, Michael Roth

Faculty, Staff and Student Publications

Purpose: Radiation therapy (RT) is a critical component of treatment for adolescents and young adults (AYAs, age 15-39 years old) diagnosed with cancer. Limited prior studies have focused on AYAs receiving RT despite the potentially burdensome effects of RT. We reviewed the literature to assess health-related quality of life (HRQOL) in AYAs with cancer who received RT.

Methods: The MEDLINE, EMBASE, and Web of Science databases were searched in January 2022 to identify studies that analyzed HRQOL measured by patient-reported outcomes in AYAs who received RT. After title (n = 286) and abstract (n = 58) screening and full-text review …

Aberrant Function Of Pathogenic Stat3 Mutant Proteins Is Linked To Altered Stability Of Monomers And Homodimers, Moses M Kasembeli, Efiyenia Kaparos, Uddalak Bharadwaj, Ahmad Allaw, Alain Khouri, Bianca Acot, David J Tweardy

Faculty, Staff and Student Publications

STAT3 mutations, predominantly in the DNA-binding domain (DBD) and Src-homology 2 domain (SH2D), cause rare cases of immunodeficiency, malignancy, and autoimmunity. The exact mechanisms by which these mutations abrogate or enhance STAT3 function are not completely understood. Here, we examined how loss-of-function (LOF) and gain-of-function (GOF) STAT3 mutations within the DBD and SH2D affect monomer and homodimer protein stability as well as their effect on key STAT3 activation events, including recruitment to phosphotyrosine (pY) sites within peptide hormone receptors, tyrosine phosphorylation at Y705, dimerization, nuclear translocation, and DNA binding. The DBD LOF mutants showed reduced DNA binding when homodimerized, whereas …

A Phase 2 Study Of Interleukin-22 And Systemic Corticosteroids As Initial Treatment For Acute Gvhd Of The Lower Gi Tract, Doris M Ponce, Amin M Alousi, Ryotaro Nakamura, John Slingerland, Marco Calafiore, Karamjeet S Sandhu, Juliet N Barker, Sean Devlin, Jinru Shia, Sergio Giralt, Miguel-Angel Perales, Gillian Moore, Samira Fatmi, Cristina Soto, Antonio Gomes, Paul Giardina, Leeann Marcello, Xiaoqiang Yan, Tom Tang, Kevin Dreyer, Jianmin Chen, William L Daley, Jonathan U Peled, Marcel R M Van Den Brink, Alan M Hanash

Faculty, Staff and Student Publications

Graft-versus-host disease (GVHD) is a major cause of morbidity and mortality following allogeneic hematopoietic transplantation. In experimental models, interleukin-22 promotes epithelial regeneration and induces innate antimicrobial molecules. We conducted a multicenter single-arm phase 2 study evaluating the safety and efficacy of a novel recombinant human interleukin-22 dimer, F-652, used in combination with systemic corticosteroids for treatment of newly diagnosed lower gastrointestinal acute GVHD. The most common adverse events were cytopenias and electrolyte abnormalities, and there were no dose-limiting toxicities. Out of 27 patients, 19 (70%; 80% confidence interval, 56%-79%) achieved a day-28 treatment response, meeting the prespecified primary endpoint. Responders …

Large Scale Crowdsourced Radiotherapy Segmentations Across A Variety Of Cancer Anatomic Sites, Kareem A Wahid, Diana Lin, Onur Sahin, Michael Cislo, Benjamin E Nelms, Renjie He, Mohammed A Naser, Simon Duke, Michael V Sherer, John P Christodouleas, Abdallah S R Mohamed, James D Murphy, Clifton D Fuller, Erin F Gillespie

Faculty, Staff and Student Publications

Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on medical images is crucial for radiotherapy. However, interobserver segmentation variability has long been considered a significant detriment to the implementation of high-quality and consistent radiotherapy dose delivery. This has prompted the increasing development of automated segmentation approaches. However, extant segmentation datasets typically only provide segmentations generated by a limited number of annotators with varying, and often unspecified, levels of expertise. In this data descriptor, numerous clinician annotators manually generated segmentations for ROIs on computed tomography images across a variety of cancer sites (breast, sarcoma, head and neck, …

Stellettin B Renders Glioblastoma Vulnerable To Poly (Adp-Ribose) Polymerase Inhibitors Via Suppressing Homology-Directed Repair, Xin Peng, Yingying Wang, Shaolu Zhang, Zhennan Tao, Yuxiang Dai, Francois X Claret, Moshe Elkabets, Hou-Wen Lin, Zhe-Sheng Chen, Dexin Kong

Faculty, Staff and Student Publications

No abstract provided.

A First-In-Human Phase I Study Of Milademetan, An Mdm2 Inhibitor, In Patients With Advanced Liposarcoma, Solid Tumors, Or Lymphomas, Mrinal M Gounder, Todd M Bauer, Gary K Schwartz, Amy M Weise, Patricia Lorusso, Prasanna Kumar, Ben Tao, Ying Hong, Parul Patel, Yasong Lu, Arnaud Lesegretain, Vijaya G Tirunagaru, Feng Xu, Robert C Doebele, David S Hong

Faculty, Staff and Student Publications

Purpose: This study evaluated the safety, pharmacokinetics, pharmacodynamics, and preliminary efficacy of milademetan, a small-molecule murine double minute-2 (MDM2) inhibitor, in patients with advanced cancers.

Patients and methods: In this first-in-human phase I study, patients with advanced solid tumors or lymphomas received milademetan orally once daily as extended/continuous (days 1-21 or 1-28 every 28 days) or intermittent (days 1-7, or days 1-3 and 15-17 every 28 days) schedules. The primary objective was to determine the recommended phase II dose and schedule. Secondary objectives included tumor response according to standard evaluation criteria. Predefined analyses by tumor type were performed. Safety and …

A Mast Cell-Thermoregulatory Neuron Circuit Axis Regulates Hypothermia In Anaphylaxis, Chunjing Bao, Ouyang Chen, Huaxin Sheng, Jeffrey Zhang, Yikai Luo, Byron W Hayes, Han Liang, Wolfgang Liedtke, Ru-Rong Ji, Soman N Abraham

Faculty, Staff and Student Publications

IgE-mediated anaphylaxis is an acute life-threatening systemic reaction to allergens, including certain foods and venoms. Anaphylaxis is triggered when blood-borne allergens activate IgE-bound perivascular mast cells (MCs) throughout the body, causing an extensive systemic release of MC mediators. Through precipitating vasodilatation and vascular leakage, these mediators are believed to trigger a sharp drop in blood pressure in humans and in core body temperature in animals. We report that the IgE/MC-mediated drop in body temperature in mice associated with anaphylaxis also requires the body's thermoregulatory neural circuit. This circuit is activated when granule-borne chymase from MCs is deposited on proximal TRPV1+ …

Comparison Of Four Clinical Prognostic Scores In Patients With Advanced Gastric And Esophageal Cancer, Lucy X Ma, Osvaldo Espin-Garcia, Yvonne Bach, Hiroko Aoyama, Michael J Allen, Xin Wang, Gail E Darling, Jonathan Yeung, Carol J Swallow, Savtaj Brar, Patrick Veit-Haibach, Sangeetha Kalimuthu, Rebecca Wong, Eric X Chen, Grainne M O'Kane, Raymond W Jang, Elena Elimova

Faculty, Staff and Student Publications

Background: Prognostic scores that can identify patients at risk for early death are needed to aid treatment decision-making and patient selection for clinical trials. We compared the accuracy of four scores to predict early death (within 90 days) and overall survival (OS) in patients with metastatic gastric and esophageal (GE) cancer.

Methods: Advanced GE cancer patients receiving first-line systemic therapy were included. Prognostic risks were calculated using: Royal Marsden Hospital (RMH), MD Anderson Cancer Centre (MDACC), Gustave Roussy Immune (GRIm-Score), and MD Anderson Immune Checkpoint Inhibitor (MDA-ICI) scores. Overall survival (OS) was estimated using the Kaplan-Meier method. Cox proportional hazards …

A Differentiation Roadmap Of Murine Placentation At Single-Cell Resolution, Xiangxiang Jiang, Yue Wang, Zhenyu Xiao, Long Yan, Shanshan Guo, Yiming Wang, Hao Wu, Xuehan Zhao, Xiaoyin Lu, Hongmei Wang

Faculty, Staff and Student Publications

The placenta is one of the most important yet least understood organs. Due to the limitations of conventional research approaches, we are still far from a comprehensive understanding of mouse placentation, especially regarding the differentiation of trophoblast lineages at the early developmental stage. To decipher cell compositions and developmental processes, we systematically profile the single-cell transcriptomes of trophoblast cells from extraembryonic tissues (embryonic day 7.5 (E7.5) and E8.5) and placentae (E9.5-E14.5) at one-day intervals. We identify distinct trophoblast cell types during mouse placentation, including unreported progenitor cells and intermediate precursor cells. An updated differentiation roadmap of mouse trophoblast lineages is …