Biomedical Informatics Commons^™

A Phase 1/2 Study Of Azacitidine, Venetoclax And Pevonedistat In Newly Diagnosed Secondary Aml And In Mds Or Cmml After Failure Of Hypomethylating Agents, Nicholas J Short, Muharrem Muftuoglu, Faustine Ong, Lewis Nasr, Walid Macaron, Guillermo Montalban-Bravo, Yesid Alvarado, Mahesh Basyal, Naval Daver, Courtney D Dinardo, Gautam Borthakur, Nitin Jain, Maro Ohanian, Elias Jabbour, Ghayas C Issa, Wei Qiao, Xuelin Huang, Rashmi Kanagal-Shamanna, Keyur P Patel, Prithviraj Bose, Farhad Ravandi, Ricardo Delumpa, Regina Abramova, Guillermo Garcia-Manero, Michael Andreeff, Jorge Cortes, Hagop Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: Pevonedistat is a first-in-class, small molecular inhibitor of NEDD8-activating enzyme that has clinical activity in acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS). Preclinical data suggest synergy of pevonedistat with azacitidine and venetoclax.

METHODS: This single-center, phase 1/2 study evaluated the combination of azacitidine, venetoclax and pevonedistat in older adults with newly diagnosed secondary AML or with MDS or chronic myelomonocytic leukemia (CMML) after failure of hypomethylating agents. Patients received azacitidine 75 mg/m

FINDINGS: Forty patients were enrolled (32 with AML and 8 with MDS/CMML). In the AML cohort, the median age was 74 years (range 61-86 years), and …

Comutations And Krasg12c Inhibitor Efficacy In Advanced Nsclc, Marcelo V Negrao, Haniel A Araujo, Giuseppe Lamberti, Alissa J Cooper, Neal S Akhave, Teng Zhou, Lukas Delasos, J Kevin Hicks, Mihaela Aldea, Gabriele Minuti, Jacobi Hines, Jacqueline V Aredo, Michael J Dennis, Turja Chakrabarti, Susan C Scott, Paolo Bironzo, Matthias Scheffler, Petros Christopoulos, Albrecht Stenzinger, Jonathan W Riess, So Yeon Kim, Sarah B Goldberg, Mingjia Li, Qi Wang, Yun Qing, Ying Ni, Minh Truong Do, Richard Lee, Biagio Ricciuti, Joao Victor Alessi, Jing Wang, Blerina Resuli, Lorenza Landi, Shu-Chi Tseng, Mizuki Nishino, Subba R Digumarthy, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, Ara A Vaporciyan, George R Blumenschein, Jianjun Zhang, Dwight H Owen, Collin M Blakely, Giannis Mountzios, Catherine A Shu, Christine M Bestvina, Marina Chiara Garassino, Kristen A Marrone, Jhanelle E Gray, Sandip Pravin Patel, Amy L Cummings, Heather A Wakelee, Juergen Wolf, Giorgio Vittorio Scagliotti, Federico Cappuzzo, Fabrice Barlesi, Pradnya D Patil, Leylah Drusbosky, Don L Gibbons, Funda Meric-Bernstam, J Jack Lee, John V Heymach, David S Hong, Rebecca S Heist, Mark M Awad, Ferdinandos Skoulidis

Faculty, Staff and Student Publications

Molecular modifiers of KRASG12C inhibitor (KRASG12Ci) efficacy in advanced KRASG12C-mutant NSCLC are poorly defined. In a large unbiased clinicogenomic analysis of 424 patients with non-small cell lung cancer (NSCLC), we identified and validated coalterations in KEAP1, SMARCA4, and CDKN2A as major independent determinants of inferior clinical outcomes with KRASG12Ci monotherapy. Collectively, comutations in these three tumor suppressor genes segregated patients into distinct prognostic subgroups and captured ∼50% of those with early disease progression (progression-free survival ≤3 months) with KRASG12Ci. Pathway-level integration of less prevalent coalterations in functionally related genes nominated PI3K/AKT/MTOR pathway and additional baseline RAS gene alterations, including amplifications, …

Mitophagy Promotes Resistance To Bh3 Mimetics In Acute Myeloid Leukemia, Christina Glytsou, Xufeng Chen, Emmanouil Zacharioudakis, Wafa Al-Santli, Hua Zhou, Bettina Nadorp, Soobeom Lee, Audrey Lasry, Zhengxi Sun, Dimitrios Papaioannou, Michael Cammer, Kun Wang, Tomasz Zal, Malgorzata Anna Zal, Bing Z Carter, Jo Ishizawa, Raoul Tibes, Aristotelis Tsirigos, Michael Andreeff, Evripidis Gavathiotis, Iannis Aifantis

Faculty, Staff and Student Publications

BH3 mimetics are used as an efficient strategy to induce cell death in several blood malignancies, including acute myeloid leukemia (AML). Venetoclax, a potent BCL-2 antagonist, is used clinically in combination with hypomethylating agents for the treatment of AML. Moreover, MCL1 or dual BCL-2/BCL-xL antagonists are under investigation. Yet, resistance to single or combinatorial BH3-mimetic therapies eventually ensues. Integration of multiple genome-wide CRISPR/Cas9 screens revealed that loss of mitophagy modulators sensitizes AML cells to various BH3 mimetics targeting different BCL-2 family members. One such regulator is MFN2, whose protein levels positively correlate with drug resistance in patients with AML. MFN2 …

A Functional Link Between Lariat Debranching Enzyme And The Intron-Binding Complex Is Defective In Non-Photosensitive Trichothiodystrophy, Brittany A Townley, Luke Buerer, Ning Tsao, Albino Bacolla, Fadhel Mansoori, Timur Rusanov, Nathanial Clark, Negar Goodarzi, Nicolas Schmidt, Sridhar Nonavinkere Srivatsan, Hua Sun, Reilly A Sample, Joshua R Brickner, Drew Mcdonald, Miaw-Sheue Tsai, Matthew J Walter, David F Wozniak, Alex S Holehouse, Vladimir Pena, John A Tainer, William G Fairbrother, Nima Mosammaparast

Faculty, Staff and Student Publications

The pre-mRNA life cycle requires intron processing; yet, how intron-processing defects influence splicing and gene expression is unclear. Here, we find that TTDN1/MPLKIP, which is encoded by a gene implicated in non-photosensitive trichothiodystrophy (NP-TTD), functionally links intron lariat processing to spliceosomal function. The conserved TTDN1 C-terminal region directly binds lariat debranching enzyme DBR1, whereas its N-terminal intrinsically disordered region (IDR) binds the intron-binding complex (IBC). TTDN1 loss, or a mutated IDR, causes significant intron lariat accumulation, as well as splicing and gene expression defects, mirroring phenotypes observed in NP-TTD patient cells. A Ttdn1-deficient mouse model recapitulates intron-processing defects and certain …

Evaluating Approaches For Constructing Polygenic Risk Scores For Prostate Cancer In Men Of African And European Ancestry, Burcu F Darst, Jiayi Shen, Ravi K Madduri, Alexis A Rodriguez, Yukai Xiao, Xin Sheng, Edward J Saunders, Tokhir Dadaev, Mark N Brook, Thomas J Hoffmann, Kenneth Muir, Peggy Wan, Loic Le Marchand, Lynne Wilkens, Ying Wang, Johanna Schleutker, Robert J Macinnis, Cezary Cybulski, David E Neal, Børge G Nordestgaard, Sune F Nielsen, Jyotsna Batra, Judith A Clements, Australian Prostate Cancer Bioresource, Henrik Grönberg, Nora Pashayan, Ruth C Travis, Jong Y Park, Demetrius Albanes, Stephanie Weinstein, Lorelei A Mucci, David J Hunter, Kathryn L Penney, Catherine M Tangen, Robert J Hamilton, Marie-Élise Parent, Janet L Stanford, Stella Koutros, Alicja Wolk, Karina D Sørensen, William J Blot, Edward D Yeboah, James E Mensah, Yong-Jie Lu, Daniel J Schaid, Stephen N Thibodeau, Catharine M West, Christiane Maier, Adam S Kibel, Géraldine Cancel-Tassin, Florence Menegaux, Esther M John, Eli Marie Grindedal, Kay-Tee Khaw, Sue A Ingles, Ana Vega, Barry S Rosenstein, Manuel R Teixeira, Nc-La Pcap Investigators, Manolis Kogevinas, Lisa Cannon-Albright, Chad Huff, Luc Multigner, Radka Kaneva, Robin J Leach, Hermann Brenner, Ann W Hsing, Rick A Kittles, Adam B Murphy, Christopher J Logothetis, Susan L Neuhausen, William B Isaacs, Barbara Nemesure, Anselm J Hennis, John Carpten, Hardev Pandha, Kim De Ruyck, Jianfeng Xu, Azad Razack, Soo-Hwang Teo, Canary Pass Investigators, Lisa F Newcomb, Jay H Fowke, Christine Neslund-Dudas, Benjamin A Rybicki, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Dominguez, Jose Esteban Castelao, Paul A Townsend, Dana C Crawford, Gyorgy Petrovics, Graham Casey, Monique J Roobol, Jennifer F Hu, Sonja I Berndt, Stephen K Van Den Eeden, Douglas F Easton, Stephen J Chanock, Michael B Cook, Fredrik Wiklund, John S Witte, Rosalind A Eeles, Zsofia Kote-Jarai, Stephen Watya, John M Gaziano, Amy C Justice, David V Conti, Christopher A Haiman

Faculty, Staff and Student Publications

Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS269). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS269. Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and …

Changes In Outcomes And Factors Associated With Survival In Melanoma Patients With Brain Metastases, Merve Hasanov, Denái R Milton, Alicia Bea Davies, Elizabeth Sirmans, Chantal Saberian, Eliza L Posada, Sylvia Opusunju, Jeffrey E Gershenwald, Carlos A Torres-Cabala, Elizabeth M Burton, Rivka R Colen, Jason T Huse, Isabella C Glitza Oliva, Caroline Chung, Mary Frances Mcaleer, Susan L Mcgovern, Debra N Yeboa, Betty Y S Kim, Sujit S Prabhu, Ian E Mccutcheon, Jeffrey S Weinberg, Frederick F Lang, Hussein A Tawbi, Jing Li, Lauren E Haydu, Michael A Davies, Sherise D Ferguson

Faculty, Staff and Student Publications

BACKGROUND: Treatment options for patients with melanoma brain metastasis (MBM) have changed significantly in the last decade. Few studies have evaluated changes in outcomes and factors associated with survival in MBM patients over time. The aim of this study is to evaluate changes in clinical features and overall survival (OS) for MBM patients.

METHODS: Patients diagnosed with MBMs from 1/1/2009 to 12/31/2013 (Prior Era; PE) and 1/1/2014 to 12/31/2018 (Current Era; CE) at The University of Texas MD Anderson Cancer Center were included in this retrospective analysis. The primary outcome measure was OS. Log-rank test assessed differences between groups; multivariable …

A Phase Ib/Ii Study Of Ivosidenib With Venetoclax ± Azacitidine In Idh1-Mutated Myeloid Malignancies, Curtis A Lachowiez, Sanam Loghavi, Zhihong Zeng, Tomoyuki Tanaka, Yi June Kim, Hidetaka Uryu, Sven Turkalj, Niels Asger Jakobsen, Marlise R Luskin, Dzifa Y Duose, Rebecca S S Tidwell, Nicholas J Short, Gautam Borthakur, Tapan M Kadia, Lucia Masarova, George D Tippett, Prithviraj Bose, Elias J Jabbour, Farhad Ravandi, Naval G Daver, Guillermo Garcia-Manero, Hagop Kantarjian, Jacqueline S Garcia, Paresh Vyas, Koichi Takahashi, Marina Konopleva, Courtney D Dinardo

Faculty, Staff and Student Publications

UNLABELLED: The safety and efficacy of combining the isocitrate dehydrogenase-1 (IDH1) inhibitor ivosidenib (IVO) with the BCL2 inhibitor venetoclax (VEN; IVO + VEN) ± azacitidine (AZA; IVO + VEN + AZA) were evaluated in four cohorts of patients with IDH1-mutated myeloid malignancies (n = 31). Most (91%) adverse events were grade 1 or 2. The maximal tolerated dose was not reached. Composite complete remission with IVO + VEN + AZA versus IVO + VEN was 90% versus 83%. Among measurable residual disease (MRD)-evaluable patients (N = 16), 63% attained MRD--negative remissions; IDH1 mutation clearance occurred in 64% of patients receiving …

Feasibility And Safety Of Personalized, Multi-Target, Adoptive Cell Therapy (Ima101): First-In-Human Clinical Trial In Patients With Advanced Metastatic Cancer, Apostolia M Tsimberidou, Kerstin Guenther, Borje S Andersson, Regina Mendrzyk, Amir Alpert, Claudia Wagner, Anna Nowak, Katrin Aslan, Arun Satelli, Fabian Richter, Sabrina Kuttruff-Coqui, Oliver Schoor, Jens Fritsche, Zoe Coughlin, Ali S Mohamed, Kerry Sieger, Becky Norris, Rita Ort, Jennifer Beck, Henry Hiep Vo, Franziska Hoffgaard, Manuel Ruh, Linus Backert, Ignacio I Wistuba, David Fuhrmann, Nuhad K Ibrahim, Van Karlyle Morris, Bryan K Kee, Daniel M Halperin, Graciela M Nogueras-Gonzalez, Partow Kebriaei, Elizabeth J Shpall, David Vining, Patrick Hwu, Harpreet Singh, Carsten Reinhardt, Cedrik M Britten, Norbert Hilf, Toni Weinschenk, Dominik Maurer, Steffen Walter

Faculty, Staff and Student Publications

IMA101 is an actively personalized, multi-targeted adoptive cell therapy (ACT), whereby autologous T cells are directed against multiple novel defined peptide-HLA (pHLA) cancer targets. HLA-A*02:01-positive patients with relapsed/refractory solid tumors expressing ≥1 of 8 predefined targets underwent leukapheresis. Endogenous T cells specific for up to 4 targets were primed and expanded in vitro. Patients received lymphodepletion (fludarabine, cyclophosphamide), followed by T-cell infusion and low-dose IL2 (Cohort 1). Patients in Cohort 2 received atezolizumab for up to 1 year (NCT02876510). Overall, 214 patients were screened, 15 received lymphodepletion (13 women, 2 men; median age, 44 years), and 14 were treated with …

Phase Ii Trial Of Medi0457 And Durvalumab For Patients With Recurrent/Metastatic Human Papillomavirus-Associated Cancers, Van K Morris, Amir Jazaeri, Shannon N Westin, Curtis Pettaway, Solly George, Ryan W Huey, Michaela Grinsfelder, Aaron Shafer, Benny Johnson, David Vining, Ming Guo, Bryan Fellman, Michael Frumovitz

Faculty, Staff and Student Publications

BACKGROUND: Human papillomavirus (HPV) types 16/18 drive oncogenesis for most patients with cervical, anal, and penile cancers. MEDI0457, a therapeutic DNA vaccine containing plasmids for E6 and E7 HPV-16/18 viral oncogenes and IL-12 adjuvant, is safe and provokes an immune response against E6/E7. We tested MEDI0457 with the anti-PD-L1 antibody durvalumab for patients with HPV-associated cancers.

METHODS: Patients with recurrent/metastatic, treatment-refractory HPV-16/18 cervical cancer, or rare HPV-associated (anal and penile) cancers were eligible. Prior immune checkpoint inhibition was not permitted. Patients received MEDI0457 7 mg intramuscularly (weeks 1, 3, 7, 12, and every 8 weeks thereafter) and durvalumab 1500 mg …

Lgr4 And Lgr5 Form Distinct Homodimers That Only Lgr4 Complexes With Rnf43/Znrf3 To Provide High Affinity Binding Of R-Spondin Ligands, Yukimatsu Toh, Ling Wu, Soohyun Park, Allison Wang, Jianghua Tu, Wangsheng Yu, Mingxin Zuo, Kendra S Carmon, Qingyun J Liu

Faculty, Staff and Student Publications

LGR4 and LGR5 are two homologous receptors that potentiate Wnt/β-catenin signaling in response to R-spondin (RSPO) ligands. The RSPO and LGR4 complex binds to and inhibits activities of two related E3 ubiquitin ligases, RNF43 and ZNRF3, and thus protects Wnt receptors from the E3 ligase-mediated degradation. The RSPO and LGR5 complex, however, does not interact with the E3 ligases, and the structural basis of this difference remained unknown. Here we examined the affinities of monovalent and bivalent RSPO ligands in binding to LGR4, RNF43/ZNRF3, and LGR5 in whole cells and found unique features among the receptors and E3 ligases. Monovalent …

A Bayesian Network Approach To Social And Nonsocial Cognition In Schizophrenia: Are Some Domains More Fundamental Than Others?, Samuel J Abplanalp, Junghee Lee, William P Horan, Robert S Kern, David L Penn, Michael F Green

Faculty, Staff and Student Publications

OBJECTIVES: Social and nonsocial cognition are defined as distinct yet related constructs. However, the relative independence of individual variables-and whether specific tasks directly depend on performance in other tasks-is still unclear. The current study aimed to answer this question by using a Bayesian network approach to explore directional dependencies among social and nonsocial cognitive domains.

STUDY DESIGN: The study sample comprised 173 participants with schizophrenia (71.7% male; 28.3% female). Participants completed 5 social cognitive tasks and the MATRICS Consensus Cognitive Battery. We estimated Bayesian networks using directed acyclic graph structures to examine directional dependencies among the variables.

STUDY RESULTS: After …

Social And Environmental Determinants Influencing Injection Drug Use And Hiv Risk Among Two Sister Cities On The Us-Mexico Border: A Comparative Cross-Sectional Study, 2016–2018, Julia Lechuga, Rebeca Ramos, Natasha Ludwig-Barron, Gilberto Perez, Maria Elena Ramos, João B Ferreira-Pinto, Jacquelin I Cordero, John Sauceda, Jorge Salazar

Faculty, Staff and Student Publications

The economic, social, cultural and political milieus that influence injection drug-related HIV risk behaviors along the US-Mexico border in the previous decade have been studied comparing cities on an East-West axis. In an effort to inform interventions targeting factors beyond the individual level, we used a cross-sectional study design comparing people who inject drugs during 2016-2018, living on a North-South axis, in two cities-Ciudad Juárez, Chihuahua, Mexico and El Paso, Texas, USA-situated at the midpoint of the 2000 US-Mexico borderland stretch. We conceptualize injection drug use and its antecedents and consequences as influenced by factors operating at various levels of …

The Swi/Snf Chromatin-Remodeling Subunit Dpf2 Facilitates Nrf2-Dependent Antiinflammatory And Antioxidant Gene Expression, Gloria Mas, Na Man, Yuichiro Nakata, Concepcion Martinez-Caja, Daniel Karl, Felipe Beckedorff, Francesco Tamiro, Chuan Chen, Stephanie Duffort, Hidehiro Itonaga, Adnan K Mookhtiar, Kranthi Kunkalla, Alfredo M Valencia, Clayton K Collings, Cigall Kadoch, Francisco Vega, Scott C Kogan, Ramin Shiekhattar, Lluis Morey, Daniel Bilbao, Stephen D Nimer

Faculty, Staff and Student Publications

During emergency hematopoiesis, hematopoietic stem cells (HSCs) rapidly proliferate to produce myeloid and lymphoid effector cells, a response that is critical against infection or tissue injury. If unresolved, this process leads to sustained inflammation, which can cause life-threatening diseases and cancer. Here, we identify a role of double PHD fingers 2 (DPF2) in modulating inflammation. DPF2 is a defining subunit of the hematopoiesis-specific BAF (SWI/SNF) chromatin-remodeling complex, and it is mutated in multiple cancers and neurological disorders. We uncovered that hematopoiesis-specific Dpf2-KO mice developed leukopenia, severe anemia, and lethal systemic inflammation characterized by histiocytic and fibrotic tissue infiltration resembling a …

Reasons Patients Cite To Their Health-Care Professional For Not Initiating Or Completing Human Papillomavirus Vaccination, Onyema Greg Chido-Amajuoyi, Ikponmwosa Osaghae, Sanjay Shete

Faculty, Staff and Student Publications

BACKGROUND: Vaccination against human papillomavirus (HPV) is critical to the prevention of HPV-associated cancers. This study aimed to describe the reasons patients cited for not initiating or completing the HPV vaccination series, as reported by health-care professionals.

METHODS: Study data were obtained from a University of Texas MD Anderson Cancer Center population-based cross-sectional survey of health-care professionals practicing in Texas. Prevalence estimates of reasons cited for not initiating or completing HPV vaccination were estimated by patient population (parents of children and adult patients).

RESULTS: The study included 973 primary care clinicians, of whom 45.53% were physicians and 54.47% were midlevel …

Risks Of Alcohol And Drug Use Disorders In Prostate Cancer Survivors: A National Cohort Study, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Alexis C Edwards, Weiva Sieh, Kristina Sundquist

Faculty, Staff and Student Publications

BACKGROUND: Prostate cancer (PC) survivors may potentially use substances to cope with psychological distress or poorly controlled physical symptoms. Little is known, however, about the long-term risks of alcohol use disorder (AUD) or drug use disorders in men with PC.

METHODS: A national cohort study was conducted in Sweden of 180 189 men diagnosed with PC between 1998 and 2017 and 1 801 890 age-matched population-based control men. AUD and drug use disorders were ascertained from nationwide records through 2018. Cox regression was used to compute hazard ratios (HRs) while adjusting for sociodemographic factors and prior psychiatric disorders. Subanalyses examined …

Association Of Circulating Tumor Dna Testing Before Tissue Diagnosis With Time To Treatment Among Patients With Suspected Advanced Lung Cancer: The Accelerate Nonrandomized Clinical Trial, Miguel García-Pardo, Kasia Czarnecka-Kujawa, Jennifer H Law, Alexandra M Salvarrey, Roxanne Fernandes, Zhen J Fan, Thomas K Waddell, Kazuhiro Yasufuku, Geoffrey Liu, Laura L Donahoe, Andrew Pierre, Lisa W Le, Tharsiga Gunasegaran, Noor Ghumman, Frances A Shepherd, Penelope A Bradbury, Adrian G Sacher, Sabine Schmid, Lucy Corke, Jamie Feng, Tracy Stockley, Prodipto Pal, Patrik Rogalla, Christodoulos Pipinikas, Karen Howarth, Bana Ambasager, Laura Mezquita, Ming S Tsao, Natasha B Leighl

Faculty, Staff and Student Publications

IMPORTANCE: Liquid biopsy has emerged as a complement to tumor tissue profiling for advanced non-small cell lung cancer (NSCLC). The optimal way to integrate liquid biopsy into the diagnostic algorithm for patients with newly diagnosed advanced NSCLC remains unclear.

OBJECTIVE: To evaluate the use of circulating tumor DNA (ctDNA) genotyping before tissue diagnosis among patients with suspected advanced NSCLC and its association with time to treatment.

DESIGN, SETTING, AND PARTICIPANTS: This single-group nonrandomized clinical trial was conducted among 150 patients at the Princess Margaret Cancer Centre-University Health Network (Toronto, Ontario, Canada) between July 1, 2021, and November 30, 2022. Patients …

Multi-Task Learning With Dynamic Re-Weighting To Achieve Fairness In Healthcare Predictive Modeling, Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang

Faculty, Staff and Student Publications

The emphasis on fairness in predictive healthcare modeling has increased in popularity as an approach for overcoming biases in automated decision-making systems. The aim is to guarantee that sensitive characteristics like gender, race, and ethnicity do not influence prediction outputs. Numerous algorithmic strategies have been proposed to reduce bias in prediction results, mitigate prejudice toward minority groups and promote prediction fairness. The goal of these strategies is to ensure that model prediction performance does not exhibit significant disparity among sensitive groups. In this study, we propose a novel fairness-achieving scheme based on multitask learning, which fundamentally differs from conventional fairness-achieving …

Radiomic And Deep Learning Characterization Of Breast Parenchyma On Full Field Digital Mammograms And Specimen Radiographs: A Pilot Study Of A Potential Cancer Field Effect, Natalie Baughan, Hui Li, Li Lan, Matthew Embury, Isaiah Yim, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger

Faculty, Staff and Student Publications

PURPOSE: In women with biopsy-proven breast cancer, histologically normal areas of the parenchyma have shown molecular similarity to the tumor, supporting a potential cancer field effect. The purpose of this work was to investigate relationships of human-engineered radiomic and deep learning features between regions across the breast in mammographic parenchymal patterns and specimen radiographs.

APPROACH: This study included mammograms from 74 patients with at least 1 identified malignant tumor, of whom 32 also possessed intraoperative radiographs of mastectomy specimens. Mammograms were acquired with a Hologic system and specimen radiographs were acquired with a Fujifilm imaging system. All images were retrospectively …

Probabilistic Fingerprinting Scheme For Correlated Data, Emre Yilmaz, Erman Ayday

Faculty, Staff and Student Publications

In order to receive personalized services, individuals share their personal data with a wide range of service providers, hoping that their data will remain confidential. Thus, in case of an unauthorized distribution of their personal data by these service providers, data owners want to identify the source of such data leakage. We show that applying existing fingerprinting schemes to personal data sharing is vulnerable to the attacks utilizing the correlations in the data. To provide liability for unauthorized sharing of personal data, we propose a probabilistic fingerprinting scheme that efficiently generates the fingerprint by considering a fingerprinting probability (to keep …

Proteogenomic Approaches For The Identification Of Nf1/Neurofibromin-Depleted Estrogen Receptor-Positive Breast Cancers For Targeted Treatment, Beom-Jun Kim, Ze-Yi Zheng, Jonathan T Lei, Matthew V Holt, Anran Chen, Jianheng Peng, Diana Fandino, Purba Singh, Hilda Kennedy, Yongchao Dou, María Del Rosario Chica-Parrado, Emmanuel Bikorimana, Dan Ye, Yunguan Wang, Ariella B Hanker, Nada Mohamed, Susan G Hilsenbeck, Bora Lim, Jaya Ruth Asirvatham, Arun Sreekumar, Bing Zhang, George Miles, Meenakshi Anurag, Matthew J Ellis, Eric C Chang

Faculty, Staff and Student Publications

NF1 is a key tumor suppressor that represses both RAS and estrogen receptor-α (ER) signaling in breast cancer. Blocking both pathways by fulvestrant (F), a selective ER degrader, together with binimetinib (B), a MEK inhibitor, promotes tumor regression in NF1-depleted ER+ models. We aimed to establish approaches to determine how NF1 protein levels impact B+F treatment response to improve our ability to identify B+F sensitive tumors. We examined a panel of ER+ patient-derived xenograft (PDX) models by DNA and mRNA sequencing and found that more than half of these models carried an NF1 shallow deletion and generally have low mRNA …

Automating Construction Of Fair Models For Hiv Risk Prediction Using Neighborhood Data, Sarah May

Dissertations and Theses (Open Access)

Despite significant improvements in HIV diagnosis, treatment, and prevention over the last four decades, the HIV epidemic is a continuing problem in the United States. The Centers for Disease Control and Prevention (CDC) estimate there were approximately 1.2 million people with HIV living in the US in 2019. This includes an estimated 13% who are undiagnosed and remain unaware of their infection. Testing and diagnosis of these individuals is of paramount importance for reaching the target goal of ending the HIV epidemic in the US by 2030, as these individuals account for 40% of new HIV infections. An additional tool …

Context-Aware Content-Sensitive Modeling Of Online Peer Interactions In Social Media: Towards Personalized Digital Experiences For Behavior Change And Health Promotion, Tavleen Singh

Dissertations and Theses (Open Access)

Online health communities (OHCs) have emerged as prominent platforms for behavior modification. The digitization of peer interactions from these OHCs has afforded researchers rich avenues to examine and model multilevel mechanisms that drive behavior change among individuals. However, siloed approaches towards content (semantics) and context (pragmatics) modeling combined with limited incorporation of behavioral science theory in analyzing online peer conversations is an important methodological limitation. In this research, I present a novel methodological framework called Pragmatics to Reveal Intent in Social Media (PRISM), to facilitate granular characterization of peer interactions by combining multidimensional facets of human communication. Using this framework, …

Translational Bioinformatics Approaches For Decoding Mechanisms And Developing Drug Repositioning Strategies In Multiple Sclerosis, Astrid Manuel

Dissertations and Theses (Open Access)

As the scope of biotechnology rapidly widens, disease-specific molecular datasets continue to grow, warranting the need for advanced computational biology tools. Translational bioinformatics methods aim to harness these emerging datasets, including genomics, transcriptomics, epigenomics, and clinical data, to investigate the underlying biological mechanisms and identify actionable therapeutic strategies for complex diseases. Multiple sclerosis (MS) serves as a model complex disease of interest, involving both genetic and environmental risk factors. It is an autoimmune disease, characterized by immune-mediated demyelination, leading to chronic neurological disability in millions of people worldwide. Despite advancements in MS treatment, breakthrough disease persists in several MS patients. …

Unveiling The Hidden Landscape Of Tumors: Developing Cutting-Edge Machine Learning Approaches To Determine The Compositions Of Cells And Exosomes, Bingrui Li

Dissertations and Theses (Open Access)

Cancer emerges from the accumulation of mutation in cancerous cells. While research has traditionally focused on cancer cells, there is increasing recognition that the tumor microenvironment also plays a critical role in modulating tumor progression. However, accurately characterizing compositional changes and functional roles of different cell types and cell subtypes in tumor microenvironments remains a significant challenge. Exosomes, extracellular vesicles secreted by all cells, have gained significance as essential agents of communication among cells within the tumor microenvironment. They can carry a diverse array of biomolecules and are abundantly present in various biological fluids, making them promising candidates as biomarkers …

Substrate Derived Sequences Act As Subsite-Blocking Motifs In Protease Inhibitory Antibodies, Hyunjun Choe, Tara Antee, Xin Ge

Faculty, Staff and Student Publications

Proteases are involved in many physiologic processes, and dysregulated proteolysis is basis of a variety of diseases. Specific inhibition of pathogenetic proteases via monoclonal antibodies therefore holds significant therapeutic promise. Inspired by the competitive mechanism utilized by many naturally occurring and man-made protease inhibitors, we hypothesized that substrate-like peptide sequences can act as protease subsite blocking motifs if they occupy only one side of the reaction center. To test this hypothesis, a degenerate codon library representing MMP-14 substrate profiles at P1-P5' positions was constructed in the context of an anti-MMP-14 Fab by replacing its inhibitory motif in CDR-H3 with MMP-14 …

Propensity-Score-Matched Analysis Of Dual Antiplatelet Treatment And Alternative Antiplatelet Regimens After Transcarotid Revascularizations, Hanaa Dakour-Aridi, Raghu L Motaganahalli, Andres Fajardo, Akiko Tanaka, Naveed U Saqib, Gordon H Martin, Stuart A Harlin, Arash Keyhani, Kourosh Keyhani, S Keisin Wang

Faculty, Staff and Student Publications

Objective: Dual antiplatelet therapy (DAPT) continues to be the preferred medication regimen after the placement of a carotid stent using the transcarotid revascularization (TCAR) technique despite a dearth of quality data. Therefore, this investigation was performed to define the risks associated with antiplatelet choice.

Methods: We queried all patients who underwent TCAR captured by the Vascular Quality Initiative from September 2016 to June 2022, to determine the association between antiplatelet choice and outcomes. Patients maintained on DAPT were compared with those receiving alternative regimens consisting of single antiplatelet, anticoagulation, or a combination of the two. A 1:1 propensity-score match was …

Addressing The Global Expertise Gap In Radiation Oncology: The Radiation Planning Assistant, Laurence Court, Ajay Aggarwal, Hester Burger, Carlos Cardenas, Christine Chung, Raphael Douglas, Monique Du Toit, David Jaffray, Anuja Jhingran, Michael Mejia, Raymond Mumme, Sikudhani Muya, Komeela Naidoo, Jerry Ndumbalo, Kelly Nealon, Tucker Netherton, Callistus Nguyen, Niki Olanrewaju, Jeannette Parkes, Willie Shaw, Christoph Trauernicht, Melody Xu, Jinzhong Yang, Lifei Zhang, Hannah Simonds, Beth M Beadle

Faculty, Staff and Student Publications

PURPOSE: Automation, including the use of artificial intelligence, has been identified as a possible opportunity to help reduce the gap in access and quality for radiotherapy and other aspects of cancer care. The Radiation Planning Assistant (RPA) project was conceived in 2015 (and funded in 2016) to use automated contouring and treatment planning algorithms to support the efforts of oncologists in low- and middle-income countries, allowing them to scale their efforts and treat more patients safely and efficiently (to increase access).

DESIGN: In this review, we discuss the development of the RPA, with a particular focus on clinical acceptability and …

Prognostic Factors For Pediatric, Adolescent, And Young Adult Patients With Non-Dipg Grade 4 Gliomas: A Contemporary Pooled Institutional Experience, Jennifer K Matsui, Pamela K Allen, Haley K Perlow, Jason M Johnson, Arnold C Paulino, Mary Frances Mcaleer, Maryam Fouladi, David R Grosshans, Amol J Ghia, Jing Li, Wafik T Zaky, Murali M Chintagumpala, Joshua D Palmer, Susan L Mcgovern

Faculty, Staff and Student Publications

Purpose: WHO grade 4 gliomas are rare in the pediatric and adolescent and young adult (AYA) population. We evaluated prognostic factors and outcomes in the pediatric versus AYA population.

Methods: This retrospective pooled study included patients less than 30 years old (yo) with grade 4 gliomas treated with modern surgery and radiotherapy. Overall survival (OS) and progression-free survival (PFS) were characterized using Kaplan-Meier and Cox regression analysis.

Results: Ninety-seven patients met criteria with median age 23.9 yo at diagnosis. Seventy-seven patients were ≥ 15 yo (79%) and 20 patients were < 15 yo (21%). Most had biopsy-proven glioblastoma (91%); the remainder had H3 K27M-altered diffuse midline glioma (DMG; 9%). All patients received surgery and radiotherapy. Median PFS and OS were 20.9 months and 79.4 months, respectively. Gross total resection (GTR) was associated with better PFS in multivariate analysis [HR 2.00 (1.01-3.62), p = 0.023]. Age ≥ 15 yo was associated with improved OS [HR 0.36 (0.16-0.81), p = 0.014] while female gender [HR 2.12 (1.08-4.16), p = 0.03] and DMG histology [HR 2.79 (1.11-7.02), p = 0.029] were associated with worse OS. Only 7% of patients experienced grade 2 toxicity. 62% of patients experienced tumor progression (28% local, 34% distant). Analysis of salvage treatment found that second surgery and systemic therapy significantly improved survival.

Conclusion: Age is a significant prognostic factor in WHO grade …

Ai In Drug Discovery And Its Clinical Relevance, Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, Sheheryar Khan, Jia Wu, Muhammad Usman Hadi, John Heymach, Xiuning Le, Hong Yan, Tanvir Alam

Faculty, Staff and Student Publications

The COVID-19 pandemic has emphasized the need for novel drug discovery process. However, the journey from conceptualizing a drug to its eventual implementation in clinical settings is a long, complex, and expensive process, with many potential points of failure. Over the past decade, a vast growth in medical information has coincided with advances in computational hardware (cloud computing, GPUs, and TPUs) and the rise of deep learning. Medical data generated from large molecular screening profiles, personal health or pathology records, and public health organizations could benefit from analysis by Artificial Intelligence (AI) approaches to speed up and prevent failures in …

Snakes And Ladders: A Potential Therapy Of Hepatocyte Growth Factor And Pigment Epithelium-Derived Factor In Pulmonary Hypertension, Joseph M Zambelas, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

No abstract provided.