Medical Specialties Commons^™

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

Bilateral Germ Cell Tumor Of The Testis: Biological And Clinical Implications For A Stem Versus Genetic Origin Of Cancers, Jamaal C Jackson, Darren Sanchez, Aron Y Joon, Marcos R Estecio, Andrew C Johns, Amishi Y Shah, Matthew Campbell, John F Ward, Louis L Pisters, Charles C Guo, Miao Zhang, Niki M Zacharias, Shi-Ming Tu

Faculty, Staff and Student Publications

Germ cell tumors of the testis (GCTs) provide an ideal tumor model to investigate the cellular versus genetic origin of cancers. In this single institutional study, we evaluated 38 patients with bilateral GCT, including tumors that occurred simultaneously (synchronous) and those occurring at different times (metachronous). For nine of these patients, DNA was isolated from the right and left GCT to determine the genomic and epigenetic differences between tissues using whole-exome sequencing (WES) and reduced representation bisulfite sequencing (RRBS). We found that seminomas and non-seminomas are molecularly distinct based on DNA methylation and not due to synchronous or metachronous disease. …

Cognitive Outcomes In Prostate Cancer Treatment: Insights From The Odenza Trial And Future Considerations, Bryan J Neth, Jeffrey S Wefel, Kevin T Nead

Faculty, Staff and Student Publications

No abstract provided.

Trends In Medicare Payments Within The First Year Of Cervical Cancer Diagnosis, 2010–2019, Mohammad A Karim, Ning Zhang, Hui Zhao, Ya-Chen Tina Shih, Lakshmi S M Kodali, Sharon H Giordano, Sanjay Shete

Faculty, Staff and Student Publications

Assessing Medicare payment trends for cervical cancer care is important to mitigate the financial impact on Medicare. This multiyear cross-sectional study included 65 years and older cervical cancer patients in SEER registries diagnosed between 2010 and 2019 who had continuous Part A and B Medicare coverage at least 6 months before diagnosis and at least within the first year of diagnosis and were not enrolled in any Health Maintenance Organization (HMO) in this duration. The main outcomes were trends in total and service-specific mean monthly Medicare payments within the first year of a cervical cancer diagnosis. This study included 2147 …

Network-Based Clustering Unveils Interconnected Landscapes Of Genomic And Clinical Features Across Myeloid Malignancies, Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Niko Beerenwinkel, Jack Kuipers

Faculty, Staff and Student Publications

Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. A key strength is its ability to include presumed causal directions in the edges linking clinical and mutational features, and account for them aptly in the clustering. In a cohort of 1323 patients, we identify subgroups that outperform established risk classifications in prognostic accuracy. Our approach generalises well to unseen cohorts with classification based on our subgroups similarly offering advantages in …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Maile Karris, Erin Sundermann, Ronald J Ellis, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

Lung Cancer Risk Prediction In Patients With Persistent Pulmonary Nodules Using The Brock Model And Sybil Model, Hui Li, Morteza Salehjahromi, Myrna C B Godoy, Kang Qin, Courtney M Plummer, Zheng Zhang, Lingzhi Hong, Simon Heeke, Xiuning Le, Natalie Vokes, Bingnan Zhang, Haniel A Araujo, Mehmet Altan, Carol C Wu, Mara B Antonoff, Edwin J Ostrin, Don L Gibbons, John V Heymach, J Jack Lee, David E Gerber, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Background/objectives: Persistent pulmonary nodules are at higher risk of developing into lung cancers. Assessing their future cancer risk is essential for successful interception. We evaluated the performance of two risk prediction models for persistent nodules in hospital-based cohorts: the Brock model, based on clinical and radiological characteristics, and the Sybil model, a novel deep learning model for lung cancer risk prediction.

Methods: Patients with persistent pulmonary nodules-defined as nodules detected on at least two computed tomography (CT) scans, three months apart, without evidence of shrinkage-were included in the retrospective (n = 130) and prospective (n = 301) cohorts. …

Investigative Needle Core Biopsies Support Multimodal Deep-Data Generation In Glioblastoma, Kenny K H Yu, Sreyashi Basu, Gerard Baquer, Ryuhjin Ahn, Jennifer Gantchev, Sonali Jindal, Michael S Regan, Zaki Abou-Mrad, Michael C Prabhu, Marc J Williams, Alicia D D'Souza, Seth W Malinowski, Kelsey Hopland, Yuval Elhanati, Sylwia A Stopka, Alexei Stortchevoi, Charles Couturier, Zhong He, Jingjing Sun, Yulong Chen, Alexsandra B Espejo, Kin Hoe Chow, Smitha Yerrum, Pei-Lun Kao, Brittany Parker Kerrigan, Lisa Norberg, Douglas Nielsen, Vinay K Puduvalli, Jason Huse, Rameen Beroukhim, Betty Y S Kim, Sangeeta Goswami, Adrienne Boire, Sarah Frisken, Michael J Cima, Matthias Holdhoff, Calixto-Hope G Lucas, Chetan Bettegowda, Stuart S Levine, Tejus A Bale, Cameron Brennan, David A Reardon, Frederick F Lang, E Antonio Chiocca, Keith L Ligon, Forest M White, Padmanee Sharma, Viviane Tabar, Nathalie Y R Agar

Faculty, Staff and Student Publications

Glioblastoma (GBM) is an aggressive primary brain cancer with few effective therapies. Stereotactic needle biopsies are routinely used for diagnosis; however, the feasibility and utility of investigative biopsies to monitor treatment response remains ill-defined. Here, we demonstrate the depth of data generation possible from routine stereotactic needle core biopsies and perform highly resolved multi-omics analyses, including single-cell RNA sequencing, spatial transcriptomics, metabolomics, proteomics, phosphoproteomics, T-cell clonotype analysis, and MHC Class I immunopeptidomics on standard biopsy tissue obtained intra-operatively. We also examine biopsies taken from different locations and provide a framework for measuring spatial and genomic heterogeneity. Finally, we investigate the …

Improved Overall Survival In An Anti-Pd-L1 Treated Cohort Of Newly Diagnosed Glioblastoma Patients Is Associated With Distinct Immune, Mutation, And Gut Microbiome Features: A Single Arm Prospective Phase I/Ii Trial, Shiao-Pei Weathers, Xiqi Li, Haifeng Zhu, Ashish V Damania, Mark Knafl, Brian Mckinley, Heather Lin, Rebecca A Harrison, Nazanin K Majd, Barbara J O'Brien, Marta Penas-Prado, Monica Loghin, Carlos Kamiya-Matsuoka, W K Alfred Yung, Luisa M Solis Soto, Dipen M Maru, Ignacio Wistuba, Edwin R Parra Cuentas, Sharia Hernandez, Andrew Futreal, Jennifer A Wargo, Katja Schulze, Walter C Darbonne, Nadim J Ajami, Scott E Woodman, John F De Groot

Faculty, Staff and Student Publications

This phase I/II trial aims to evaluate the efficacy of concurrent atezolizumab with radiation therapy and temozolomide (TMZ) followed by adjuvant atezolizumab and TMZ in newly diagnosed glioblastoma (GBM) patients and to identify pre-treatment correlates with outcome (N = 60). Trial number: NCT03174197. The primary outcome was overall survival (OS) whereas secondary outcomes were retrospective global-omics analyses to identify pre-treatment immune and genetic tumor features that correlated with survival. Concurrent use of atezolizumab with radiation and TMZ demonstrated OS in line with published trials for newly diagnosed GBM. Tumor genomic (WES and/or targeted NGS panel), transcriptomic (RNAseq) and tissue microenvironment …

Building A Pre-Surgical Multiparametric-Mri-Based Morphologic, Qualitative, Semiquantitative, First And High-Order Radiomic Predictive Treatment Response Model For Undifferentiated Pleomorphic Sarcoma To Replace Recist, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E Torres, Robert S Benjamin, Jingfei Ma, Ken-Pin Hwang, R Jason Stafford, Dejka Araujo, Andrew J Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V Valenzuela, Chengyue Wu, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Background: Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

Methods: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves …

Autoradai: A Versatile Artificial Intelligence Framework Validated For Detecting Extracapsular Extension In Prostate Cancer, Pegah Khosravi, Shady Saikali, Abolfazl Alipour, Saber Mohammadi, Maxwell Boger, Dalanda M. Diallo, Christopher J. Smith, Marcio C. Moschovas, Iman Hajirasouliha, Andrew J. Hung, Srirama S. Venkataraman, Vipul Patel

Publications and Research

Preoperative identification of extracapsular extension (ECE) in prostate cancer (PCa) is crucial for effective treatment planning, as ECE presence significantly increases the risk of positive surgical margins and early biochemical recurrence following radical prostatectomy. AutoRadAI, an innovative artificial intelligence (AI) framework, was developed to address this clinical challenge while demonstrating broader potential for diverse medical imaging applications. The framework integrates T2-weighted MRI data with histopathology annotations, leveraging a dual convolutional neural network (multi-CNN) architecture. AutoRadAI comprises two key components: ProSliceFinder, which isolates prostate-relevant MRI slices, and ExCapNet, which evaluates ECE likelihood at the patient level. The system was trained and …

Acute Brcaness Induction And Ar Pathway Blockage Through Cdk12/7/9 Degradation Enhances Parp Inhibitor Sensitivity In Prostate Cancer, Fu Gui, Baishan Jiang, Jie Jiang, Zhixiang He, Takuya Tsujino, Tomoaki Takai, Seiji Arai, Celine Pana, Jens Köllermann, Gary Andrew Bradshaw, Robyn Eisert, Marian Kalocsay, Anne Fassl, Steven P Balk, Adam S Kibel, Li Jia

Faculty, Staff and Student Publications

Current treatments for advanced prostate cancer (PCa) primarily target the androgen receptor (AR) pathway. However, the emergence of castration-resistant prostate cancer (CRPC) and resistance to AR pathway inhibitors (APPIs) remains ongoing challenges. Here, we present BSJ-5-63, a proteolysis-targeting chimera (PROTAC) targeting cyclin-dependent kinases (CDKs) CDK12, CDK7, and CDK9, offering a multipronged approach to CRPC therapy. BSJ-5-63 degrades CDK12, diminishing BRCA1 and BRCA2 expression and inducing a sustained "BRCAness" state. This sensitizes cancer cells to PARP inhibitors (PARPis) regardless of their homologous recombination repair (HRR) status. Furthermore, CDK7 and CDK9 degradation attenuates AR signaling, enhancing its therapeutic efficacy. Preclinical studies, including …

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …

The Dynamic Immune Behavior Of Primary And Metastatic Ovarian Carcinoma, Elaine Stur, Fuduan Peng, Pang-Ning Teng, Emine Bayraktar, Min Hu, Sara Corvigno, David J Brown, Sanghoon Lee, Kathleen N Moore, Nicholas W Bateman, Kathleen M Darcy, George L Maxwell, Thomas P Conrads, Nidhi Sahni, Ignacio Vázquez-García, Sohrab P Shah, Joseph Celestino, Nicole D Fleming, Nicholas E Navin, Linghua Wang, Anil K Sood

Faculty, Staff and Student Publications

Patients with high-grade serous ovarian carcinoma (HGSC) are usually diagnosed with advanced-stage disease, and the tumors often have immunosuppressive characteristics. Together, these factors are important for disease progression, drug resistance, and mortality. In this study, we used a combination of single-cell sequencing and spatial transcriptomics to identify the molecular mechanisms that lead to immunosuppression in HGSC. Primary tumors consistently showed a more active immune microenvironment than did omental tumors. In addition, we found that untreated primary tumors were mostly populated by dysfunctional CD4 and CD8 T cells in later stages of differentiation; this, in turn, was correlated with expression changes …

Idh Status Dictates Ohsv Mediated Metabolic Reprogramming Affecting Anti-Tumor Immunity, Upasana Sahu, Matthew P Mullarkey, Sara A Murphy, Joshua C Anderson, Vasanta Putluri, Abu Hena Mostafa Kamal, Jun Hyoung Park, Tae Jin Lee, Alexander L Ling, Benny A Kaipparettu, Ashok Sharma, Nagireddy Putluri, Pamela L Wenzel, Christopher D Willey, E Antonio Chiocca, James M Markert, Balveen Kaur

Faculty, Staff and Student Publications

Identification of isocitrate dehydrogenase (IDH) mutations has uncovered the crucial role of metabolism in gliomagenesis. Oncolytic herpes virus (oHSV) initiates direct tumor debulking by tumor lysis and activates anti-tumor immunity, however, little is known about the role of glioma metabolism in determining oHSV efficacy. Here we identify that oHSV rewires central carbon metabolism increasing glucose utilization towards oxidative phosphorylation and shuttling glutamine towards reductive carboxylation in IDH wildtype glioma. The switch in metabolism results in increased lipid synthesis and cellular ROS. PKC induces ACSL4 in oHSV treated cells leading to lipid peroxidation and ferroptosis. Ferroptosis is critical to launch an …

High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti, Sherise D Ferguson

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). Characterized by molecular alterations in CDKN2A/B, NF1, BRAF, FGFR1, and ATRX, they may be located anywhere in the CNS but show a predilection for the posterior fossa. Reports are limited to retrospective case series, and the standard of care is not yet established. We performed a retrospective review of electronic medical records of all patients with HGAP at our institution. Records were queried …

Dual Targeting Of Ezh2 And Ezh1 Drives Exit Of Leukemia Stem Cells From Quiescence And Potentiates Chemotherapy In Acute Myeloid Leukemia, Hiroki Akiyama, Yuki Nishida, Kyung Hee Chang, Andrea D Bedoy, Muharrem Muftuoglu, Wencai Ma, Mahesh Basyal, Zoe Hirschi, Daisuke Honma, Shinji Tsutsumi, Jing Wang, Weiguo Zhang, Xuelin Huang, Raajit K Rampal, Olalekan O Oluwole, Dale Lee Bixby, Naval G Daver, Michael Andreeff

Faculty, Staff and Student Publications

No abstract provided.

Retrospective Analysis Of Cement Extravasation Rates In Vertebroplasty, Kyphoplasty, And Bone Tumor Radiofrequency Ablation, Soun Sheen, Prit Hasan, Xiaowen Sun, Jian Wang, Claudio Tatsui, Kent Nouri, Saba Javed

Faculty, Staff and Student Publications

Background: Percutaneous vertebral augmentation techniques, including vertebroplasty, kyphoplasty, and bone tumor radiofrequency ablation (BT-RFA), are commonly used to treat painful vertebral compression fractures (VCFs). While generally safe and effective, they carry risks, including cement extravasation, which can lead to pulmonary embolism or spinal cord compression. This study aims to compare the rate of cement extravasation across different vertebral augmentation techniques and identify potential risk factors.

Methods: A retrospective cohort study was conducted at a comprehensive cancer center on 1002 procedure encounters in 888 patients who underwent vertebral augmentation for painful VCFs. Data were collected on patient demographics, fracture pathology, procedure …

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …

Can The Discovery Of High-Impact Diagnostics Be Improved By Matching The Sampling Rate Of Clinical Diagnostics To The Frequency Domain Of Diagnostic Information?, Steven W Millward, Peng Wei, David Piwnica-Worms, Seth T Gammon

Faculty, Staff and Student Publications

Over the past 30 years, academic and industrial research investigators have developed molecular reporters to visualize cell death in complex biological systems. In parallel, clinical researchers, chemists, biochemists, and molecular biologists have endeavored to translate these molecular tools into clinical imaging agents. Despite these efforts, there are no clinically approved imaging methodologies with which to image cell death consistently and quantitatively. One reason may reside in the intrinsic mismatch between the sampling frequency of translational molecular imaging and the biochemical kinetics that define cell death. Beyond cell death imaging, many active research programs are now attempting to create translational diagnostic …

Swi/Snf Complex-Mediated Znf410 Cooperative Binding Maintains Chromatin Accessibility And Enhancer Activity, Siyuan Xu, Chuxuan Peng, Ren Ren, Haowen Lu, Han Zhao, Sijian Xia, Yijie Shen, Bin Xu, Haoyue Zhang, Xiaodong Cheng, Gerd A Blobel, Xianjiang Lan

Faculty, Staff and Student Publications

The clustering of multiple transcription factor binding sites (TFBSs) for the same TF has proved to be a pervasive feature of cis-regulatory elements in the eukaryotic genome. However, the contribution of binding sites within the homotypic clusters of TFBSs (HCTs) to TF binding and target gene expression remains to be understood. Here, we characterize the CHD4 enhancers that harbor unique functional ZNF410 HCTs genome wide. We uncover that ZNF410 controls chromatin accessibility and activity of the CHD4 enhancer regions. We demonstrate that ZNF410 binds to the HCTs in a collaborative fashion, further conferring transcriptional activation. In particular, three ZNF410 motifs …

Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia

Faculty, Staff and Student Publications

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,

Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung

Faculty, Staff and Student Publications

Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …

Association Between B-Cell Marker Expression And Runx1 Lesions In Acute Myeloid Leukemia, Beyond Runx1::Runx1t1 Fusion: Diagnostic Pitfalls With Mixed-Phenotype Acute Leukemia—B/Myeloid, Giby V George, Malgorzata Kajstura, Audrey N Jajosky, Hong Fang, Fatima Zahra Jelloul, Andrew G Evans, W Richard Burack, John M Bennett, L Jeffrey Medeiros, Wei Wang, Siba El Hussein

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) with RUNX1::RUNX1T1 fusion is well known to often demonstrate aberrant upregulation of CD19 expression. We studied the clinicopathologic and genetic features of 16 cases of AML with various RUNX1 lesions, including mutations, copy number gains, and translocations other than fusions with RUNX1T1. Most of these cases were classified as AML-myelodysplasia-related or AML-post-cytotoxic therapy based on the cytogenetic and molecular work-up. These neoplasms showed partial expression of one or more B-cell antigens by flow cytometry and/or immunohistochemistry, fulfilling the criteria for mixed-phenotype acute leukemia (MPAL)-B/myeloid (i.e., ≥20% blasts expressing B and myeloid lineage antigens) …

Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L Lewis, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

The clinical utility of liquid biopsy (LB) for pancreatic ductal adenocarcinoma (PDAC) remain understudied. Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. Positive LB, especially KRAS mutation detection, is associated with worse overall survival (OS) in metastatic PDAC (median 14.5 vs. 31.3 months, HR = 2.7, 95%CI = 1.7-4.3, P <  0.0001). The positive concordance rates of KRAS and TP53 mutations were 63% and 68% in metastatic disease but only 7% (KRAS) and 33% (TP53) in localized disease, respectively. Among the 41 patients who underwent serial liquid biopsy testing, 25% tested positive after an initial negative result. LB detects therapeutically targetable mutations in 58.5% of PDAC patients and is associated with OS.

Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …

Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Naszrin Arani, Benjamin Carpentier, Caitlin Rausch, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo

Faculty, Staff and Student Publications

Hypomethylating agent (HMA) plus venetoclax (VEN) regimens are standard of care in patients with acute myeloid leukemia (AML) ineligible for intensive chemotherapy. While the VEN label recommends continuous 28-day cycles, shortened VEN durations may induce similar response rates and improve tolerability. It is unknown how a VEN exposure reduced to 7 days during cycles compares to standard HMA + VEN. We retrospectively compared newly diagnosed AML patients treated with azacitidine (AZA) x 7 days plus VEN x 7 days ("7 + 7" regimen) from the first cycle (n = 82) vs patients treated with standard dose HMA + VEN (std-HMA/VEN) …

Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof

Faculty, Staff and Student Publications

The RNA exosome is an evolutionarily conserved, multiprotein complex that is the major RNase in 3' processing and degradation of a wide range of RNAs in eukaryotes. Single amino acid changes in RNA exosome subunits cause rare genetic diseases collectively called exosomopathies. However, distinguishing disease-causing variants from nonpathogenic ones remains challenging, and the mechanism by which these variants cause disease is largely unknown. Previous studies have employed a budding yeast model of RNA exosome-linked diseases that relies on mutating the orthologous yeast genes. Here, we develop a humanized yeast model of exosomopathies that allows us to unambiguously assess damaging effects …

Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim

Faculty, Staff and Student Publications

We explored effects of (1) training with various sample sizes of multi-site vs. single-site training data, (2) cross-site domain adaptation, and (3) data sources and features on the performance of algorithms segmenting cerebral infarcts on Magnetic Resonance Imaging (MRI). We used 10,820 annotated diffusion-weighted images (DWIs) from 10 university hospitals. Algorithms based on 3D U-net were trained using progressively larger subsamples (ranging from 217 to 8661), while internal testing employed a distinct set of 2159 DWIs. External validation was conducted using three unrelated datasets (n = 2777, 50, and 250). For domain adaptation, we utilized 50 to 1000 subsamples from …

Comprehensive Assessment Of Initial Adaptation Of Extended-Spectrum Β-Lactamase-Positive St131 Escherichia Coli To Carbapenem Exposure, William C Shropshire, Xinhao Song, Jordan Bremer, Seokju Seo, Susana Rodriguez, Selvalakshmi Selvaraj Anand, An Q Dinh, Micah M Bhatti, Anna Konovalova, Cesar A Arias, Awdhesh Kalia, Yousif Shamoo, Samuel A Shelburne

Faculty, Staff and Student Publications

Background: It remains unclear how high-risk Escherichia coli lineages, like sequence type (ST) 131, initially adapt to carbapenem exposure in their progression to carbapenem resistance.

Methods: Carbapenem mutation frequency was measured in multiple subclades of extended-spectrum β-lactamase (ESBL)-positive ST131 clinical isolates using a fluctuation assay followed by whole genome sequencing (WGS) characterization. Genomic, transcriptomic, and porin analyses of the ST131 C2/H30Rx isolate MB1860, under prolonged, increasing carbapenem exposure was performed using 2 experimental evolutionary platforms to measure fast versus slow adaptation.

Results: All 13 ESBL-positive ST131 strains selected from a diverse (n = 184) ST131 bacteremia cohort had detectable ertapenem …