Biomedical Informatics Commons^™

Structure-Based Design Of Stapled Peptides That Bind Gabarap And Inhibit Autophagy, Hawley Brown, Mia Chung, Alina Üffing, Nefeli Batistatou, Tiffany Tsang, Samantha Doskocil, Weiqun Mao, Dieter Willbold, Robert C Bast, Zhen Lu, Oliver H Weiergräber, Joshua A Kritzer

Faculty, Staff and Student Publications

The LC3/GABARAP family of proteins is involved in nearly every stage of autophagy. Inhibition of LC3/GABARAP proteins is a promising approach to blocking autophagy, which sensitizes advanced cancers to DNA-damaging chemotherapy. Here, we report the structure-based design of stapled peptides that inhibit GABARAP with nanomolar affinities. Small changes in staple structure produced stapled peptides with very different binding modes and functional differences in LC3/GABARAP paralog selectivity, ranging from highly GABARAP-specific to broad inhibition of both subfamilies. The stapled peptides exhibited considerable cytosolic penetration and resistance to biological degradation. They also reduced autophagic flux in cultured ovarian cancer cells and sensitized …

Immuno-Genomic Profiling Of Biopsy Specimens Predicts Neoadjuvant Chemotherapy Response In Esophageal Squamous Cell Carcinoma, Shota Sasagawa, Hiroaki Kato, Koji Nagaoka, Changbo Sun, Motohiro Imano, Takao Sato, Todd A Johnson, Masashi Fujita, Kazuhiro Maejima, Yuki Okawa, Kazuhiro Kakimi, Takushi Yasuda, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers and is primarily treated with platinum-based neoadjuvant chemotherapy (NAC). Some ESCCs respond well to NAC. However, biomarkers to predict NAC sensitivity and their response mechanism in ESCC remain unclear. We perform whole-genome sequencing and RNA sequencing analysis of 141 ESCC biopsy specimens before NAC treatment to generate a machine-learning-based diagnostic model to predict NAC reactivity in ESCC and analyzed the association between immunogenomic features and NAC response. Neutrophil infiltration may play an important role in ESCC response to NAC. We also demonstrate that specific copy-number alterations and copy-number …

Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams

Faculty, Staff and Student Publications

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algorithms), can potentially bring significant social benefits. However, it has not been deployed in practice because of privacy concerns. In this paper, we propose a strategy that uses homomorphic encryption to resolve this dilemma, which guarantees information confidentiality while retaining action detection. Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average …

Measuring And Controlling Medical Record Abstraction (Mra) Error Rates In An Observational Study, Maryam Y Garza, Tremaine Williams, Sahiti Myneni, Susan H Fenton, Songthip Ounpraseuth, Zhuopei Hu, Jeannette Lee, Jessica Snowden, Meredith N Zozus, Anita C Walden, Alan E Simon, Barbara Mcclaskey, Sarah G Sanders, Sandra S Beauman, Sara R Ford, Lacy Malloch, Amy Wilson, Lori A Devlin, Leslie W Young

Faculty, Staff and Student Publications

BACKGROUND: Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-based framework for data quality assurance and quality control of MRA. The objective of this work is to determine the potential impact of formalized MRA training and continuous quality control (QC) processes on data quality over time.

METHODS: We conducted a retrospective analysis of QC data collected during a cross-sectional medical record review of mother-infant dyads with Neonatal …

A Multi-Institutional Prediction Model To Estimate The Risk Of Recurrence And Mortality After Mastectomy For T1-2n1 Breast Cancer, Sarah M C Sittenfeld, Emily C Zabor, Sarah N Hamilton, Henry M Kuerer, Mahmoud El-Tamer, George E Naoum, Pauline T Truong, Alan Nichol, Benjamin D Smith, Wendy A Woodward, Tracy-Ann Moo, Simon N Powell, Chirag S Shah, Alphonse G Taghian, Ibrahim Abu-Gheida, Rahul D Tendulkar

Faculty, Staff and Student Publications

Background: Post-mastectomy radiation therapy (PMRT) in women with pathologic stage T1-2N1M0 breast cancer is controversial.

Methods: Data from five North American institutions including women undergoing mastectomy without neoadjuvant therapy with pT1-2N1M0 breast cancer treated from 2006 to 2015 were pooled for analysis. Competing-risks regression was performed to identify factors associated with locoregional recurrence (LRR), distant metastasis (DM), overall recurrence (OR), and breast cancer mortality (BCM).

Results: A total of 3532 patients were included for analysis with a median follow-up time among survivors of 6.8 years (interquartile range [IQR], 4.5-9.5 years). The 2154 (61%) patients who received PMRT had significantly more …

A Comprehensive Search Of Non-Canonical Proteins In Non-Small Cell Lung Cancer And Their Impact On The Immune Response, Ehsan Irajizad, Johannes F Fahrmann, James P Long, Jody Vykoukal, Makoto Kobayashi, Michela Capello, Chuan-Yih Yu, Yining Cai, Fu Chung Hsiao, Nikul Patel, Soyoung Park, Qian Peng, Jennifer B Dennison, Taketo Kato, Mei Chee Tai, Ayumu Taguchi, Humam Kadara, Ignacio I Wistuba, Hiroyuki Katayama, Kim-Anh Do, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

There is substantial interest in mining neoantigens for cancer applications. Non-canonical proteins resulting from frameshift mutations have been identified as neoantigens in cancer. We investigated the landscape of non-canonical proteins in non-small cell lung cancer (NSCLC) and their induced immune response in the form of autoantibodies. A database of cryptoproteins was computationally constructed and comprised all alternate open reading frames (altORFs) and ORFs identified in pseudogenes, noncoding RNAs, and untranslated regions of mRNAs that did not align with known canonical proteins. Proteomic profiles of seventeen lung adenocarcinoma (LUAD) cell lines were searched to evaluate the occurrence of cryptoproteins. To assess …

The Value Of In Vivo Reflectance Confocal Microscopy As An Assessment Tool In Chemotherapy-Induced Peripheral Neuropathy: A Pilot Study, Sabrina R Ramnarine, Patrick M Dougherty, Roman Rolke, Linda J Williams, Christi Alessi-Fox, Andrew J Coleman, Caterina Longo, Lesley A Colvin, Marie T Fallon

Faculty, Staff and Student Publications

Background: There is a lack of standardized objective and reliable assessment tools for chemotherapy-induced peripheral neuropathy (CIPN). In vivo reflectance confocal microscopy (RCM) imaging offers a non-invasive method to identify peripheral neuropathy markers, namely Meissner's corpuscles (MC). This study investigated the feasibility and value of RCM in CIPN.

Patients and methods: Reflectance confocal microscopy was performed on the fingertip to evaluate MC density in 45 healthy controls and 9 patients with cancer (prior, during, and post-chemotherapy). Quantification was completed by 2 reviewers (one blinded), with maximum MC count/3 × 3 mm image reported. Quantitative Sensory Testing (QST; thermal and mechanical …

Risk Assessment With Low-Pass Whole-Genome Sequencing Of Cell-Free Dna Before Cd19 Car T-Cell Therapy For Large B-Cell Lymphoma, Hua-Jay J Cherng, Ryan Sun, Bryant Sugg, Russell Irwin, Haopeng Yang, Cao Cuong Le, Qing Deng, Luis Fayad, Nathan H Fowler, Simrit Parmar, Raphael Steiner, Fredrick Hagemeister, Ranjit Nair, Hun Ju Lee, Maria Rodriguez, Felipe Samaniego, Swaminathan P Iyer, Christopher R Flowers, Linghua Wang, Loretta J Nastoupil, Sattva S Neelapu, Sairah Ahmed, Paolo Strati, Michael R Green, Jason Westin

Faculty, Staff and Student Publications

Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more than half of recipients will experience treatment failure. Thus, approaches are needed to identify high-risk patients who may benefit from alternative or consolidative therapy. We evaluated low-pass whole-genome sequencing (lpWGS) of cell-free DNA (cfDNA) before CART19 as a new approach for risk stratification. We performed lpWGS on pretreatment plasma samples from 122 patients at time of leukapheresis who received standard-of-care CART19 for rrLBCL to define DNA copy number alterations (CNAs). In multivariable selection, high focal CNA score …

Primary Cutaneous Lymphoma: Recommendations For Clinical Trial Design And Staging Update From The Iscl, Usclc, And Eortc, Elise A Olsen, Sean Whittaker, Rein Willemze, Lauren Pinter-Brown, Francine Foss, Larisa Geskin, Lawrence Schwartz, Steven Horwitz, Joan Guitart, John Zic, Youn H Kim, Gary S Wood, Madeleine Duvic, Wei Ai, Michael Girardi, Alejandro Gru, Emmanuella Guenova, Emmilia Hodak, Richard Hoppe, Werner Kempf, Ellen Kim, Mary Jo Lechowicz, Pablo Ortiz-Romero, Evangelia Papadavid, Pietro Quaglino, Mark Pittelkow, H Miles Prince, Jose Antonio Sanches, Makoto Sugaya, Maarten Vermeer, Jasmine Zain, Robert Knobler, Rudolf Stadler, Martine Bagot, Julia Scarisbrick

Faculty, Staff and Student Publications

The number of patients with primary cutaneous lymphoma (PCL) relative to other non-Hodgkin lymphomas (NHLs) is small and the number of subtypes large. Although clinical trial guidelines have been published for mycosis fungoides/Sézary syndrome, the most common type of PCL, none exist for the other PCLs. In addition, staging of the PCLs has been evolving based on new data on potential prognostic factors, diagnosis, and assessment methods of both skin and extracutaneous disease and a desire to align the latter with the Lugano guidelines for all NHLs. The International Society for Cutaneous Lymphomas (ISCL), the United States Cutaneous LymphomaConsortium (USCLC), …

Microenvironmental Landscape Of Human Melanoma Brain Metastases In Response To Immune Checkpoint Inhibition, Christopher Alvarez-Breckenridge, Samuel C Markson, Jackson H Stocking, Naema Nayyar, Matt Lastrapes, Matthew R Strickland, Albert E Kim, Magali De Sauvage, Ashish Dahal, Juliana M Larson, Joana L Mora, Andrew W Navia, Robert H Klein, Benjamin M Kuter, Corey M Gill, Mia Bertalan, Brian Shaw, Alexander Kaplan, Megha Subramanian, Aarushi Jain, Swaminathan Kumar, Husain Danish, Michael White, Osmaan Shahid, Kristen E Pauken, Brian C Miller, Dennie T Frederick, Christine Hebert, Mckenzie Shaw, Maria Martinez-Lage, Matthew Frosch, Nancy Wang, Elizabeth Gerstner, Brian V Nahed, William T Curry, Bob Carter, Daniel P Cahill, Genevieve Marie Boland, Benjamin Izar, Michael A Davies, Arlene H Sharpe, Mario L Suvà, Ryan J Sullivan, Priscilla K Brastianos, Scott L Carter

Faculty, Staff and Student Publications

Melanoma-derived brain metastases (MBM) represent an unmet clinical need because central nervous system progression is frequently an end stage of the disease. Immune checkpoint inhibitors (ICI) provide a clinical opportunity against MBM; however, the MBM tumor microenvironment (TME) has not been fully elucidated in the context of ICI. To dissect unique elements of the MBM TME and correlates of MBM response to ICI, we collected 32 fresh MBM and performed single-cell RNA sequencing of the MBM TME and T-cell receptor clonotyping on T cells from MBM and matched blood and extracranial lesions. We observed myeloid phenotypic heterogeneity in the MBM …

Polygenic Risk, Midlife Life's Simple 7, And Lifetime Risk Of Stroke, Emy A Thomas, Nitesh Enduru, Adrienne Tin, Eric Boerwinkle, Michael E Griswold, Thomas H Mosley, Rebecca F Gottesman, Myriam Fornage

Faculty, Staff and Student Publications

Background

Recent genetic discoveries in stroke have unleashed the potential of using genetic information for risk prediction and health interventions aimed at disease prevention. We sought to estimate the lifetime risk of stroke (LTRS) by levels of genetic risk and to investigate whether optimal cardiovascular health can offset the negative impact of high genetic risk on lifetime risk of stroke.

Methods and Results

Study participants were 11 568 middle‐aged adults (56% women, 23% Black adults), who were free of stroke at baseline and were followed up for a median of 28 years. The remaining LTRS was estimated according to levels …

Muscle And Adipose Tissue Segmentations At The Third Cervical Vertebral Level In Patients With Head And Neck Cancer, Kareem A Wahid, Brennan Olson, Rishab Jain, Aaron J Grossberg, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S R Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative determination of sarcopenia is currently dependent on manually-generated segmentations of skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization of machine learning models for automated sarcopenia determination. However, extant datasets currently do not provide the necessary manually-generated skeletal muscle segmentations at the C3 vertebral level needed for building these models. In this data descriptor, a set of 394 HNC patients were selected from The Cancer Imaging Archive, and their skeletal muscle and adipose tissue was …

Building Consensus For A Shared Definition Of Adverse Events: A Case Study In The Profession Of Dentistry, Amy Franklin, Elsbeth Kalenderian, Nutan Hebballi, Veronique Delattre, Jini Etoule, Joel White, Ram Vaderhobli, Denice Stewart, Karla Kent, Alfa Yansane, Muhammad Walji

Faculty, Staff and Student Publications

BACKGROUND: To achieve high-quality health care, adverse events (AEs) must be proactively recognized and mitigated. However, there is often ambiguity in applying guidelines and definitions. We describe the iterative calibration process needed to achieve a shared definition of AEs in dentistry. Our alignment process includes both independent and consensus building approaches.

OBJECTIVE: We explore the process of defining dental AEs and the steps necessary to achieve alignment across different care providers.

METHODS: Teams from 4 dental institutions across the United States iteratively reviewed patient records after identification of charts using an automated trigger tool. Calibration across teams was supported through …

Charting The Proteome Landscape In Major Psychiatric Disorders: From Biomarkers To Biological Pathways Towards Drug Discovery, Brisa S Fernandes, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are major mental disorders that affect a significant proportion of the global population. Advancing our knowledge of the pathophysiology of these disorders and identifying biomarkers are urgent needs for developing objective diagnostic tests and new therapeutics. In this study, we performed a systematic review and then extracted, curated, and analyzed proteomics data from published studies, aiming to assess the proteome in peripheral blood of individuals with SZ, BD, or MDD. Then, we performed pathway and network analyses to illuminate the biological themes concatenated by the differentially expressed proteins by systematically …

Genome-Wide Bidirectional Crispr Screens Identify Mucins As Host Factors Modulating Sars-Cov-2 Infection, Scott B Biering, Sylvia A Sarnik, Eleanor Wang, James R Zengel, Sarah R Leist, Alexandra Schäfer, Varun Sathyan, Padraig Hawkins, Kenichi Okuda, Cyrus Tau, Aditya R Jangid, Connor V Duffy, Jin Wei, Rodney C Gilmore, Mia Madel Alfajaro, Madison S Strine, Xammy Nguyenla, Erik Van Dis, Carmelle Catamura, Livia H Yamashiro, Julia A Belk, Adam Begeman, Jessica C Stark, D Judy Shon, Douglas M Fox, Shahrzad Ezzatpour, Emily Huang, Nico Olegario, Arjun Rustagi, Allison S Volmer, Alessandra Livraghi-Butrico, Eddie Wehri, Richard R Behringer, Dong-Joo Cheon, Julia Schaletzky, Hector C Aguilar, Andreas S Puschnik, Brian Button, Benjamin A Pinsky, Catherine A Blish, Ralph S Baric, Wanda K O'Neal, Carolyn R Bertozzi, Craig B Wilen, Richard C Boucher, Jan E Carette, Sarah A Stanley, Eva Harris, Silvana Konermann, Patrick D Hsu

Faculty, Staff and Student Publications

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a range of symptoms in infected individuals, from mild respiratory illness to acute respiratory distress syndrome. A systematic understanding of host factors influencing viral infection is critical to elucidate SARS-CoV-2-host interactions and the progression of Coronavirus disease 2019 (COVID-19). Here, we conducted genome-wide CRISPR knockout and activation screens in human lung epithelial cells with endogenous expression of the SARS-CoV-2 entry factors ACE2 and TMPRSS2. We uncovered proviral and antiviral factors across highly interconnected host pathways, including clathrin transport, inflammatory signaling, cell-cycle regulation, and transcriptional and epigenetic regulation. We further identified mucins, a …

Real-World Matching Performance Of Deidentified Record-Linking Tokens, Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin

Faculty, Staff and Student Publications

OBJECTIVE: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.

METHODS: This study compares tokens alone and token-based matching algorithms against manual annotation for 20,002 record pairs extracted from the University of Texas Houston's clinical data warehouse (CDW) in terms of entity resolution.

RESULTS: The highest precision achieved was 99.9% with a token derived from the first name, last name, gender, and date-of-birth. The highest recall achieved was 95.5% with an algorithm involving tokens that reflected combinations of first name, last name, gender, date-of-birth, and social security number.

DISCUSSION: To protect …

Development Of A Quality Improvement Dental Chart Review Training Program, Elsbeth Kalenderian, Nutan B Hebballi, Amy Franklin, Alfa Yansane, Ana M Ibarra Noriega, Joel White, Muhammad F Walji

Faculty, Staff and Student Publications

INTRODUCTION: Chart review is central to understanding adverse events (AEs) in medicine. In this article, we describe the process and results of educating chart reviewers assigned to evaluate dental AEs.

METHODS: We developed a Web-based training program, "Dental Patient Safety Training," which uses both independent and consensus-based curricula, for identifying AEs recorded in electronic health records in the dental setting. Training included (1) didactic education, (2) skills training using videos and guided walkthroughs, (3) quizzes with feedback, and (4) hands-on learning exercises. In addition, novice reviewers were coached weekly during consensus review discussions. TeamExpert was composed of 2 experienced reviewers, …

Impact Of Somatic Mutations On Survival Outcomes In Patients With Anaplastic Thyroid Carcinoma, Jennifer Rui Wang, Matthew Montierth, Li Xu, Maitrayee Goswami, Xiao Zhao, Gilbert Cote, Wenyi Wang, Priyanka Iyer, Ramona Dadu, Naifa L Busaidy, Stephen Y Lai, Neil D Gross, Renata Ferrarotto, Charles Lu, Gary Brandon Gunn, Michelle D Williams, Mark Routbort, Mark E Zafereo, Maria E Cabanillas

Faculty, Staff and Student Publications

PURPOSE: Anaplastic thyroid carcinoma (ATC) uniformly present with aggressive disease, but the mutational landscape of tumors varies. We aimed to determine whether tumor mutations affect survival outcomes in ATC.

MATERIALS AND METHODS: Patients who underwent mutation sequencing using targeted gene panels between 2005 and 2019 at a tertiary referral center were included. Associations between mutation status and survival outcomes were assessed using Cox proportional hazards models.

RESULTS: A total of 202 patients were included, where 122 died of ATC (60%). The median follow-up was 31 months (interquartile range, 18-45 months). The most common mutations were in

CONCLUSION: Mutation analysis provides …

Assessing The Practicality Of Using A Single Knowledge-Based Planning Model For Multiple Linac Vendors, Raphael J Douglas, Adenike Olanrewaju, Lifei Zhang, Beth M Beadle, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Knowledge-based planning (KBP) has been shown to be an effective tool in quality control for intensity-modulated radiation therapy treatment planning and generating high-quality plans. Previous studies have evaluated its ability to create consistent plans across institutions and between planners within the same institution as well as its use as teaching tool for inexperienced planners. This study evaluates whether planning quality is consistent when using a KBP model to plan across different treatment machines.

Materials and methods: This study used a RapidPlan model (Varian Medical Systems) provided by the vendor, to which we added additional planning objectives, maximum dose limits, …

Clinical Activity Of Mitogen-Activated Protein Kinase-Targeted Therapies In Patients With Non-V600 Braf-Mutant Tumors, Matthew Dankner, Yifan Wang, Rouhi Fazelzad, Benny Johnson, Caroline A Nebhan, Ibiayi Dagogo-Jack, Nathaniel J Myall, Georg Richtig, Jillian W P Bracht, Marco Gerlinger, Eiji Shinozaki, Takayuki Yoshino, Daisuke Kotani, Jason R Fangusaro, Oliver Gautschi, Julien Mazieres, Jeffrey A Sosman, Scott Kopetz, Vivek Subbiah, Michael A Davies, Anna L Groover, Ryan J Sullivan, Keith T Flaherty, Douglas B Johnson, Andrea Benedetti, David W Cescon, Anna Spreafico, George Zogopoulos, April A N Rose

Faculty, Staff and Student Publications

Purpose: Non-V600 mutations comprise approximately 35% of all BRAF mutations in cancer. Many of these mutations have been identified as oncogenic drivers and can be classified into three classes according to molecular characteristics. Consensus treatment strategies for class 2 and 3 BRAF mutations have not yet been established.

Methods: We performed a systematic review and meta-analysis with published reports of individual patients with cancer harboring class 2 or 3 BRAF mutations from 2010 to 2021, to assess treatment outcomes with US Food and Drug Administration-approved mitogen-activated protein kinase (MAPK) pathway targeted therapy (MAPK TT) according to BRAF class, cancer type, …

Selinexor In Advanced, Metastatic Dedifferentiated Liposarcoma: A Multinational, Randomized, Double-Blind, Placebo-Controlled Trial, Mrinal M Gounder, Albiruni Abdul Razak, Neeta Somaiah, Sant Chawla, Javier Martin-Broto, Giovanni Grignani, Scott M Schuetze, Bruno Vincenzi, Andrew J Wagner, Bartosz Chmielowski, Robin L Jones, Richard F Riedel, Silvia Stacchiotti, Elizabeth T Loggers, Kristen N Ganjoo, Axel Le Cesne, Antoine Italiano, Xavier Garcia Del Muro, Melissa Burgess, Sophie Piperno-Neumann, Christopher Ryan, Mary F Mulcahy, Charles Forscher, Nicolas Penel, Scott Okuno, Anthony Elias, Lee Hartner, Tony Philip, Thierry Alcindor, Bernd Kasper, Peter Reichardt, Lore Lapeire, Jean-Yves Blay, Christine Chevreau, Claudia Maria Valverde Morales, Gary K Schwartz, James L Chen, Hari Deshpande, Elizabeth J Davis, Garth Nicholas, Stefan Gröschel, Helen Hatcher, Florence Duffaud, Antonio Casado Herráez, Roberto Diaz Beveridge, Giuseppe Badalamenti, Mikael Eriksson, Christian Meyer, Margaret Von Mehren, Brian A Van Tine, Katharina Götze, Filomena Mazzeo, Alexander Yakobson, Aviad Zick, Alexander Lee, Anna Estival Gonzalez, Andrea Napolitano, Mark A Dickson, Dayana Michel, Changting Meng, Lingling Li, Jianjun Liu, Osnat Ben-Shahar, Dane R Van Domelen, Christopher J Walker, Hua Chang, Yosef Landesman, Jatin J Shah, Sharon Shacham, Michael G Kauffman, Steven Attia

Faculty, Staff and Student Publications

Purpose: Antitumor activity in preclinical models and a phase I study of patients with dedifferentiated liposarcoma (DD-LPS) was observed with selinexor. We evaluated the clinical benefit of selinexor in patients with previously treated DD-LPS whose sarcoma progressed on approved agents.

Methods: SEAL was a phase II-III, multicenter, randomized, double-blind, placebo-controlled study. Patients age 12 years or older with advanced DD-LPS who had received two-five lines of therapy were randomly assigned (2:1) to selinexor (60 mg) or placebo twice weekly in 6-week cycles (crossover permitted). The primary end point was progression-free survival (PFS). Patients who received at least one dose of …

Dynamic Expression Of Schlafen 11 (Slfn11) In Circulating Tumour Cells As A Liquid Biomarker In Small Cell Lung Cancer, Bingnan Zhang, C Allison Stewart, Qi Wang, Robert J Cardnell, Pedro Rocha, Junya Fujimoto, Luisa M Solis Soto, Runsheng Wang, Veronica Novegil, Peter Ansell, Lei He, Luisa Fernandez, Adam Jendrisak, Cole Gilbertson, Joseph D Schonhoft, Jiyun Byun, Joshua Jones, Amanda K L Anderson, Ana Aparicio, Hai Tran, Marcelo V Negrao, Jianjun Zhang, Wei-Lien Wang, Ignacio I Wistuba, Jing Wang, Rick Wenstrup, Lauren A Byers, Carl M Gay

Faculty, Staff and Student Publications

Introduction: Small cell lung cancer (SCLC) is an aggressive malignancy with no established biomarkers. Schlafen 11(SLFN11), a DNA/RNA helicase that sensitises cancer cells to DNA-damaging agents, has emerged as a promising predictive biomarker for several drug classes including platinum and PARP inhibitors. Detection of SLFN11 in circulating tumour cells (CTCs) may provide a valuable alternative to tissue sampling.

Methods: SLFN11 expression was evaluated in tumour samples and characterised in circulating tumour cells (CTC) longitudinally to determine its potential role as a biomarker of response.

Results: Among 196 SCLC tumours, 51% expressed SLFN11 by IHC. In addition, 20/29 extra-thoracic high-grade neuroendocrine …

Sexual Orientation And Gender Identity Data Collection In Oncology Practice: Findings Of An Asco Survey, Charles S Kamen, Mandi L Pratt-Chapman, Stephen C Meersman, Gwendolyn P Quinn, Matthew B Schabath, Shail Maingi, Janette K Merrill, Elizabeth Garrett-Mayer, Melinda Kaltenbaugh, Caroline Schenkel, Shine Chang

Faculty, Staff and Student Publications

Purpose: Lack of collection of sexual orientation and gender identity (SOGI) data in oncology practices limits assessment of sexual and gender minority (SGM) cancer patients' experiences and restricts opportunities to improve health outcomes of SGM patients. Despite national calls for routine SOGI data collection, individual-level and institutional barriers hinder progress. This study aimed to identify these barriers in oncology.

Methods: An online survey of ASCO members and others assessed SOGI data collection in oncology practices, institutional characteristics related to SOGI data collection, respondents' attitudes about SOGI data and SGM patients, and respondent demographics. Logistic regression calculated adjusted odds ratios (ORs) …

Clinical Research In Ovarian Cancer: Consensus Recommendations From The Gynecologic Cancer Intergroup, Ignace Vergote, Antonio Gonzalez-Martin, Domenica Lorusso, Charlie Gourley, Mansoor Raza Mirza, Jean-Emmanuel Kurtz, Aikou Okamoto, Kathleen Moore, Frédéric Kridelka, Iain Mcneish, Alexander Reuss, Bénédicte Votan, Andreas Du Bois, Sven Mahner, Isabelle Ray-Coquard, Elise C Kohn, Jonathan S Berek, David S P Tan, Nicoletta Colombo, Rongyu Zang, Nicole Concin, Dearbhaile O'Donnell, Alejandro Rauh-Hain, C Simon Herrington, Christian Marth, Andres Poveda, Keiichi Fujiwara, Gavin C E Stuart, Amit M Oza, Michael A Bookman, Participants Of The 6th Gynecologic Cancer Intergroup (Gcig) Ovarian Cancer Consensus Conference On Clinical Research

Faculty, Staff and Student Publications

The Gynecologic Cancer InterGroup (GCIG) sixth Ovarian Cancer Conference on Clinical Research was held virtually in October, 2021, following published consensus guidelines. The goal of the consensus meeting was to achieve harmonisation on the design elements of upcoming trials in ovarian cancer, to select important questions for future study, and to identify unmet needs. All 33 GCIG member groups participated in the development, refinement, and adoption of 20 statements within four topic groups on clinical research in ovarian cancer including first line treatment, recurrent disease, disease subgroups, and future trials. Unanimous consensus was obtained for 14 of 20 statements, with …

Novel Mitochondria-Targeting Compounds Selectively Kill Human Leukemia Cells, Svetlana B Panina, Jingqi Pei, Natalia Baran, Elissa Tjahjono, Shraddha Patel, Gheath Alatrash, Sergej Konoplev, Leonid A Stolbov, Vladimir V Poroikov, Marina Konopleva, Natalia V Kirienko

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) is a heterogeneous group of aggressive hematological malignancies commonly associated with treatment resistance, high risk of relapse, and mitochondrial dysregulation. We identified six mitochondria-affecting compounds (PS compounds) that exhibit selective cytotoxicity against AML cells in vitro. Structure-activity relationship studies identified six analogs from two original scaffolds that had over an order of magnitude difference between LD50 in AML and healthy peripheral blood mononuclear cells. Mechanistically, all hit compounds reduced ATP and selectively impaired both basal and ATP-linked oxygen consumption in leukemic cells. Compounds derived from PS127 significantly upregulated production of reactive oxygen species (ROS) in AML …

Advances In Head And Neck Cancer Pain, Y Ye, D D Jensen, C T Viet, H L Pan, W M Campana, M Amit, M D Boada

Faculty, Staff and Student Publications

Head and neck cancer (HNC) affects over 890,000 people annually worldwide and has a mortality rate of 50%. Aside from poor survival, HNC pain impairs eating, drinking, and talking in patients, severely reducing quality of life. Different pain phenotype in patients (allodynia, hyperalgesia, and spontaneous pain) results from a combination of anatomical, histopathological, and molecular differences between cancers. Poor pathologic features (e.g., perineural invasion, lymph node metastasis) are associated with increased pain. The use of syngeneic/immunocompetent animal models, as well as a new mouse model of perineural invasion, provides novel insights into the pathobiology of HNC pain. Glial and immune …

Venetoclax Combined With Flag-Ida Induction And Consolidation In Newly Diagnosed Acute Myeloid Leukemia, Courtney D Dinardo, Curtis A Lachowiez, Koichi Takahashi, Sanam Loghavi, Tapan Kadia, Naval Daver, Lianchun Xiao, Maria Adeoti, Nicholas J Short, Koji Sasaki, Sa A Wang, Gautam Borthakur, Ghayas Issa, Abhishek Maiti, Yesid Alvarado, Naveen Pemmaraju, Guillermo Montalban Bravo, Lucia Masarova, Musa Yilmaz, Nitin Jain, Michael Andreeff, Guillermo Garcia-Manero, Steven Kornblau, Farhad Ravandi, Elias Jabbour, Marina Y Konopleva, Hagop M Kantarjian

Faculty, Staff and Student Publications

Multi-agent induction chemotherapy (IC) improves response rates in younger patients with acute myeloid leukemia (AML); however, relapse remains the principal cause of treatment failure. Improved induction regimens are needed. A prospective single-center phase Ib/II study evaluating fludarabine, cytarabine, G-CSF, and idarubicin combined with venetoclax (FLAG-IDA + VEN) in patients with newly diagnosed (ND) or relapsed/refractory AML. The primary efficacy endpoint was assessment of overall activity (overall response rate [ORR]: complete remission [CR] + CR with partial hematologic recovery [CRh] + CR with incomplete hematologic recovery [CRi] + morphologic leukemia free state + partial response). Secondary objectives included additional assessments of …

Unilateral Radiation Therapy For Tonsillar Cancer: Treatment Outcomes In The Era Of Human Papillomavirus, Positron-Emission Tomography, And Intensity Modulated Radiation Therapy, Nicolette Taku, Gregory Chronowski, G Brandon Gunn, William H Morrison, Neil D Gross, Amy C Moreno, Renata Ferrarotto, Steven J Frank, C David Fuller, Ryan P Goepfert, Jack Phan, Stephen Y Lai, Jay P Reddy, David I Rosenthal, Adam S Garden

Faculty, Staff and Student Publications

Purpose: The goal of this study was to evaluate disease, survival, and toxic effects after unilateral radiation therapy treatment for tonsillar cancer.

Methods and materials: A retrospective study was performed of patients treated at our institution within the period from 2000 to 2018. Summary statistics were used to assess the cohort by patient characteristics and treatments delivered. The Kaplan-Meier method was used to determine survival outcomes.

Results: The cohort comprised 403 patients, including 343 (85%) with clinical and/or radiographic evidence of ipsilateral cervical nodal disease and 181 (45%) with multiple involved nodes. Human papillomavirus was detected in 294 (73%) tumors. …

Aapm Task Group Report 303 Endorsed By The Abs: Mri Implementation In Hdr Brachytherapy-Considerations From Simulation To Treatment, Joann Prisciandaro, Jacqueline Esthappan Zoberi, Gil'ad Cohen, Yusung Kim, Perry Johnson, Eric Paulson, William Song, Ken-Pin Hwang, Beth Erickson, Sushil Beriwal, Christian Kirisits, Firas Mourtada

Faculty, Staff and Student Publications

The task group (TG) on magnetic resonance imaging (MRI) implementation in high-dose-rate (HDR) brachytherapy (BT)-Considerations from simulation to treatment, TG 303, was constituted by the American Association of Physicists in Medicine's (AAPM's) Science Council under the direction of the Therapy Physics Committee, the Brachytherapy Subcommittee, and the Working Group on Brachytherapy Clinical Applications. The TG was charged with developing recommendations for commissioning, clinical implementation, and on-going quality assurance (QA). Additionally, the TG was charged with describing HDR BT workflows and evaluating practical consideration that arise when implementing MR imaging. For brevity, the report is focused on the treatment of gynecologic …

Pulmonary Fibrosis Model Using Micro-Ct Analyzable Human Psc-Derived Alveolar Organoids Containing Alveolar Macrophage-Like Cells, Seri Choi, Jiwoong Choi, Seongmin Cheon, Jihong Song, Seung-Yeon Kim, Ji-Eun Kim, Dae-Hwan Nam, Gohar Manzar, Su-Man Kim, Hyung-Sik Kang, Kee K Kim, Sang Hoon Jeong, Ju-Han Lee, Eun-Kee Park, Minseob Lee, Hyang-Ae Lee, Ki-Suk Kim, Han-Jin Park, Won Keun Oh, Chungoo Park, Chang Hyun Lee, Eun-Mi Kim

Faculty, Staff and Student Publications

Human lung organoids (hLOs) are useful for disease modelling and drug screening. However, a lack of immune cells in hLOs limits the recapitulation of in vivo cellular physiology. Here, we generated hLOs containing alveolar macrophage (AMφ)-like cells derived from pluripotent stem cells (PSC). To bridge hLOs with advanced human lung high-resolution X-ray computed tomography (CT), we acquired quantitative micro-CT images. Three hLO types were observed during differentiation. Among them, alveolar hLOs highly expressed not only lung epithelial cell markers but also AMφ-specific markers. Furthermore, CD68