Medical Specialties Commons^™

Performance Comparison Of 10 State-Of-The-Art Machine Learning Algorithms For Outcome Prediction Modeling Of Radiation-Induced Toxicity, Ramon M Salazar, Saurabh S Nair, Alexandra O Leone, Ting Xu, Raymond P Mumme, Jack D Duryea, Brian De, Kelsey L Corrigan, Michael K Rooney, Matthew S Ning, Prajnan Das, Emma B Holliday, Zhongxing Liao, Laurence E Court, Joshua S Niedzielski

Faculty, Staff and Student Publications

Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.

Methods and materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma. Each data set was modeled using 11 commonly employed machine …

Forecasting Intraoperative Hypotension During Hepatobiliary Surgery, Juan P Cata, Bhavin Soni, Shreyas Bhavsar, Parvathy Sudhir Pillai, Tatiana A Rypinski, Anshuj Deva, Jeffrey H Siewerdsen, Jose M Soliz

Faculty, Staff and Student Publications

Prediction and avoidance of intraoperative hypotension (IOH) can lead to less postoperative morbidity. Machine learning (ML) is increasingly being applied to predict IOH. We hypothesize that incorporating demographic and physiological features in an ML model will improve the performance of IOH prediction. In addition, we added a "dial" feature to alter prediction performance. An ML prediction model was built based on a multivariate random forest (RF) trained algorithm using 13 physiologic time series and patient demographic data (age, sex, and BMI) for adult patients undergoing hepatobiliary surgery. A novel implementation was developed with an adjustable, multi-model voting (MMV) approach to …

Status Of Abortion Curriculum In Genetic Counseling: Survey Of Graduate Programs And Recent Graduates In The United States, Gina Sanchez, S Shahrukh Hashmi, Erica Bednar, Sarah Horvath, Bhavik Kumar, Katelynn Sagaser, Claire N Singletary, Aarti Ramdaney

Faculty, Staff and Student Publications

Genetic counselors (GCs) are trained to help individuals navigate the medical and psychological implications of genetic test results, familial conditions, and ultrasound anomalies. Therefore, familiarity with reproductive options, including abortion, is vital. However, previous studies have found gaps in GCs' knowledge regarding abortion care and there are currently no recommendations regarding abortion curriculum. This study aimed to assess the state of abortion curriculum in genetic counseling graduate programs in the United States and to examine and compare the satisfaction levels of program representatives and recent graduates. Program representatives and recent graduates were invited to complete an anonymous survey evaluating the …

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

Enhancing Immunotherapy Efficacy With Synergistic Low-Dose Radiation In Metastatic Melanoma: Current Insights And Prospects, Zahid Rafiq, Mingyo Kang, Hampartsoum B Barsoumian, Gohar S Manzar, Yun Hu, Carola Leuschner, Ailing Huang, Fatemeh Masrorpour, Weiqin Lu, Nahum Puebla-Osorio, James W Welsh

Faculty, Staff and Student Publications

Recent advances in oncology research have highlighted the promising synergy between low-dose radiation therapy (LDRT) and immunotherapies, with growing evidence highlighting the unique benefits of the combination. LDRT has emerged as a potent tool for stimulating the immune system, triggering systemic antitumor effects by remodeling the tumor microenvironment. Notably, LDRT demonstrates remarkable efficacy even in challenging metastatic sites such as the liver (uveal) and brain (cutaneous), particularly in advanced melanoma stages. The increasing interest in utilizing LDRT for secondary metastatic sites of uveal, mucosal, or cutaneous melanomas underscores its potential efficacy in combination with various immunotherapies. This comprehensive review traverses …

Diverse Roles Of Antibodies In Antibody-Drug Conjugates, Aiko Yamaguchi, H Charles Manning

Faculty, Staff and Student Publications

The emergence of antibody-drug conjugates (ADCs) has transformed the treatment landscape of a variety of cancers. ADCs typically consist of three main components: monoclonal antibody, chemical linker, and cytotoxic payload. These integrated therapeutic modalities harness the benefits of each component to provide a therapeutic response that cannot be achieved by conventional chemotherapy. Antibodies play roles in determining tumor specificity through target-mediated uptake, prolonging the circulation half-life of cytotoxic payloads, and providing additional mechanisms of action inherent to the original antibody, thus significantly contributing to the overall performance of ADCs. However, ADCs have unique safety concerns, such as drug-induced adverse events …

A Morphometric Signature To Identify Ductal Carcinoma In Situ With A Low Risk Of Progression, Marcelo Sobral-Leite, Simon P Castillo, Shiva Vonk, Hendrik A Messal, Xenia Melillo, Noomie Lam, Brandi De Bruijn, Yeman B Hagos, Myrna Van Den Bos, Joyce Sanders, Mathilde Almekinders, Lindy L Visser, Emma J Groen, Petra Kristel, Caner Ercan, Leyla Azarang, Jacco Van Rheenen, E Shelley Hwang, Yinyin Yuan, Renee Menezes, Esther H Lips, Jelle Wesseling

Faculty, Staff and Student Publications

Ductal carcinoma in situ (DCIS) may progress to ipsilateral invasive breast cancer (iIBC), but often never will. Because DCIS is treated as early breast cancer, many women with harmless DCIS face overtreatment. To identify features associated with progression, we developed an artificial intelligence-based DCIS morphometric analysis pipeline (AIDmap) on hematoxylin-eosin-stained (H&E) tissue sections. We analyzed 689 digitized H&Es of pure primary DCIS of which 226 were diagnosed with subsequent iIBC and 463 were not. The distribution of 15 duct morphological measurements was summarized in 55 morphometric variables. A ridge regression classifier with cross validation predicted 5-years-free of iIBC with an …

Optimal Size And Peg Coating Of Gold Nanoparticles For Prolonged Blood Circulation: A Statistical Analysis Of Published Data, Dmitry Nevozhay, Ronald Rauch, Zhongya Wang, Konstantin V Sokolov

Faculty, Staff and Student Publications

This study presents a statistical analysis of how gold nanoparticle (GNP) size and polyethylene glycol (PEG) coating molecular weight (MW) affect the circulation of nanoparticles in blood. We showed a non-linear relationship with interaction between GNP size and PEG MW. The findings revealed a threshold effect, and recommendations for GNP coating are discussed.

Erk Activation Dynamics In Maturing Oocyte Controls Embryonic Nuclear Divisions In Caenorhabditis Elegans, Han Bit Baek, Debabrata Das, Shin-Yu Chen, Hongyuan Li, Swathi Arur

Faculty, Staff and Student Publications

ERK activity oscillates between sustained activation during oocyte formation and transient inactivation during oocyte maturation, fertilization, and early embryogenesis. Consequences of ectopic ERK activity upon oocyte maturation and in early embryogenesis are unknown. We show, in Caenorhabditis elegans, that ectopic ERK activity upon oocyte maturation (metaphase I oocytes) results in embryos with abnormalities in nuclear divisions leading to embryonic death. We uncover that ERK directly phosphorylates Polo-like kinase I (PLK-1), on Serine 404, to inhibit nuclear envelope breakdown (NEBD) in early embryogenesis. The RAS/ERK/PLK-1 pathway poisons zygotic NEBD and inhibits the merging of parental genomes, underlining the importance of turning …

Screening Young Adult Cancer Patients For Vocational Rehabilitation Services: A Vocational Rehabilitation Readiness Screening Tool, Rhonda Robert, Clark R Andersen, Kathleen M Murphy, Sandra Medina-George, Melissa Scardaville, Sha-Ron Conley, David Farris, Michael Roth, Vinh Nguyen, Lex Frieden

Faculty, Staff and Student Publications

Purpose: We aimed to develop an online vocational rehabilitation (VR) readiness screening (VRRS) tool for young adults diagnosed with cancer. VR readiness was defined as being physically and cognitively ready to enter or return to work or school.

Methods: We developed an initial VRRS tool informed by previous studies, a scoping review to determine such a tool had not already been developed, and consultation with subject matter experts. We iteratively refined the tool on the basis of four rounds of interviews with young adults with cancer. The refined VRRS was then administered online to patients before they attended scheduled clinic …

Trmt1l-Catalyzed M22g27 On Tyrosine Trna Is Required For Efficient Mrna Translation And Cell Survival Under Oxidative Stress, Sseu-Pei Hwang, Han Liao, Katherine Barondeau, Xinyi Han, Cassandra Herbert, Hunter Mcconie, Amirtha Shekar, Dimitri G Pestov, Patrick A Limbach, Jeffrey T Chang, Catherine Denicourt

Faculty, Staff and Student Publications

tRNA modifications are critical for several aspects of their functions, including decoding, folding, and stability. Using a multifaceted approach encompassing eCLIP-seq and nanopore tRNA-seq, we show that the human tRNA methyltransferase TRMT1L interacts with the component of the Rix1 ribosome biogenesis complex and binds to the 28S rRNA as well as to a subset of tRNAs. Mechanistically, we demonstrate that TRMT1L is responsible for catalyzing N2,N2-dimethylguanosine (m22G) solely at position 27 of tRNA-Tyr-GUA. Surprisingly, TRMT1L depletion also impaired the deposition of 3-(3-amino-3-carboxypropyl) uridine (acp3U) and dihydrouridine on tRNA-Tyr-GUA, Cys-GCA, and Ala-CGC. TRMT1L knockout cells have a marked decrease in tRNA-Tyr-GUA …

Overcoming Cd226-Related Immune Evasion In Acute Myeloid Leukemia With Cd38 Car-Engineered Nk Cells, Luciana Melo Garcia, Achintyan Gangadharan, Pinaki Banerjee, Ye Li, Andy G X Zeng, Hind Rafei, Paul Lin, Bijender Kumar, Sunil Acharya, May Daher, Luis Muniz-Feliciano, Gary M Deyter, Gabriel Dominguez, Jeong Min Park, Francia Reyes Silva, Ana Karen Nunez Cortes, Rafet Basar, Nadima Uprety, Mayra Shanley, Mecit Kaplan, Enli Liu, Elizabeth J Shpall, Katayoun Rezvani

Faculty, Staff and Student Publications

CD226 plays a vital role in natural killer (NK) cell cytotoxicity, interacting with its ligands CD112 and CD155 to initiate immune synapse formation, primarily through leukocyte function-associated-1 (LFA-1). Our study examined the role of CD226 in NK cell surveillance of acute myeloid leukemia (AML). NK cells in patients with AML had lower expression of CD226. CRISPR-Cas9 deletion of CD226 led to reduced LFA-1 recruitment, poor synapse formation, and decreased NK cell anti-leukemic activity. Engineering NK cells to express a chimeric antigen receptor targeting the AML antigen CD38 (CAR38) could overcome the need for CD226 to establish strong immune synapses. LFA-1 …

Chemotherapy In Synergy With Innate Immune Agonists Enhances T Cell Priming For Checkpoint Inhibitor Treatment In Pancreatic Cancer, Nan Niu, Keyu Li, Junke Wang, Vanessa Funes, Birginia Espinoza, Pan Li, Jianxin Wang, Melissa Lyman, Mengni He, Brian Herbst, Michael Wichroski, Ruslan Novosiadly, Sami Shoucair, Yiping Mou, Lei Zheng

Faculty, Staff and Student Publications

Background: The combination of conventional chemotherapy and immune checkpoint inhibitors (ICIs) has been unsuccessful for pancreatic ductal adenocarcinoma (PDAC). Administration of maximum tolerated dose of chemotherapy drugs may have immunosuppressive effects.

Methods: We thus tested, by using the preclinical model of PDACs including the genetically engineered mouse KPC spontaneous pancreatic tumor model and the pancreatic KPC tumor orthotopic implant model, the combinations of synthetic innate immune agonists including STING and NLRP3 agonist, respectively, and ICIs with or without chemotherapy.

Results: We found that innate agonists potentiate the role of chemotherapy in inducing effector T cells and subsequently to prime the …

Phase I Trial Of Hydroxychloroquine To Enhance Palbociclib And Letrozole Efficacy In Er+/Her2- Breast Cancer, Akshara Singareeka Raghavendra, Nicole M Kettner, Danielle Kwiatkowski, Senthil Damodaran, Yan Wang, David Ramirez, Dan S Gombos, Kelly K Hunt, Yu Shen, Khandan Keyomarsi, Debu Tripathy

Faculty, Staff and Student Publications

Endocrine therapy with CDK4/6 inhibitors is standard for estrogen receptor-positive, HER2-negative metastatic breast cancer (ER+/HER2- MBC), yet clinical resistance develops. Previously, we demonstrated that low doses of palbociclib activate autophagy, reversing initial G1 cell cycle arrest, while high concentrations induce off-target senescence. The autophagy inhibitor hydroxychloroquine (HCQ) induced on-target senescence at lower palbociclib doses. We conducted a phase I trial (NCT03774472 registered in ClinicalTrials.gov on 8/20/2018) of HCQ (400, 600, 800 mg/day) with palbociclib (75 mg/day continuous) and letrozole, using a 3 + 3 design. Primary objectives included safety, tolerability, and determining the recommended phase 2 dose (RP2D) of HCQ. …

Development And Characterization Of Cd44-Targeted X-Aptamers With Enhanced Binding Affinity For Cancer Therapeutics, Hongyu Wang, Weiguo He, Miguel-Angel Elizondo-Riojas, Xiaobo Zhou, Tae Jin Lee, David G Gorenstein

Faculty, Staff and Student Publications

CD44, a pivotal cell surface molecule, plays a crucial role in many cellular functions, including cell-cell interactions, adhesion, and migration. It serves as a receptor for hyaluronic acid and is involved in lymphocyte activation, recirculation, homing, and hematopoiesis. Moreover, CD44 is a commonly used cancer stem cell marker associated with tumor progression and metastasis. The development of CD44 aptamers that specifically target CD44 can be utilized to target CD44-positive cells, including cancer stem cells, and for drug delivery. Building on the primary sequences of our previously selected thioaptamers (TAs) and observed variations, we developed a bead-based X-aptamer (XA) library by …

Statistical Identification Of Cell Type-Specific Spatially Variable Genes In Spatial Transcriptomics, Lulu Shang, Peijun Wu, Xiang Zhou

Faculty, Staff and Student Publications

An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power. Celina proves powerful compared to existing methods in single-cell resolution spatial transcriptomics and stands as the only effective solution for spot-resolution spatial transcriptomics. Applied to five real …

Urine Proteomics Defines An Immune Checkpoint-Associated Nephritis Signature, James P Long, Shailbala Singh, Yanlan Dong, Cassian Yee, Jamie S Lin

Faculty, Staff and Student Publications

Immune checkpoint inhibitor (ICI) therapy is a cornerstone treatment for many cancers, but it can induce severe immunotoxicity, including acute interstitial nephritis (AIN). Currently, kidney biopsy is required to differentiate ICI-AIN from other causes of acute kidney injury (AKI). However, this invasive approach can lead to morbidity, delayed glucocorticoid treatment for patients with AIN, and unnecessarily prolonged suspension of ICI therapy in non-AIN patients. Delayed or incorrect diagnosis of ICI-AIN is particularly detrimental, as over 50% of patients are at risk of permanent renal damage. Thus, there is an urgent need for non-invasive biomarkers that can rapidly and accurately distinguish …

Joint Fluid Multi-Omics Improves Diagnostic Confidence During Evaluation Of Children With Presumed Septic Arthritis, Yolanda Peña-López, Naureen G Tareen, Bo Zhang, Indu Raman, Carlos A Arana, Chengsong Zhu, Yang Liu, Pratibha Selvakumar, Nicolai S C Van Oers, Simrat Morris, Lora V Hooper, Lawson A B Copley, Prithvi Raj

Faculty, Staff and Student Publications

Background: An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals.

Methods: Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. The diagnostic value of the multi-omics was ascertained relative to standard of care culture and PCR-negative results.

Results: Ten children with suspected …

Spatial Transcriptome Reveals Histology-Correlated Immune Signature Learnt By Deep Learning Attention Mechanism On H&E-Stained Images For Ovarian Cancer Prognosis, Chun Wai Ng, Kwong-Kwok Wong, Barrett C Lawson, Sammy Ferri-Borgogno, Samuel C Mok

Faculty, Staff and Student Publications

Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.

Methods: In this study, 773 WSIs of H&E-stained tumor sections from 335 patients with treatment naïve high-grade serous ovarian cancer who were included in The Cancer Genome Atlas (TCGA) Pan-Cancer study were used to train, and validate, and to test a ResNet101 CNN …

Inhibition Of Vascular Smooth Muscle Cell Perk/Atf4 Er Stress Signaling Protects Against Abdominal Aortic Aneurysms, Brennan Callow, Xiaobing He, Nicholas Juriga, Kevin D Mangum, Amrita Joshi, Xianying Xing, Andrea Obi, Abhijnan Chattopadhyay, Dianna M Milewicz, Mary X O'Riordan, Johann Gudjonsson, Katherine Gallagher, Frank M Davis

Faculty, Staff and Student Publications

Abdominal aortic aneurysms (AAA) are a life-threatening cardiovascular disease for which there is a lack of effective therapy preventing aortic rupture. During AAA formation, pathological vascular remodeling is driven by vascular smooth muscle cell (VSMC) dysfunction and apoptosis, for which the mechanisms regulating loss of VSMCs within the aortic wall remain poorly defined. Using single-cell RNA-Seq of human AAA tissues, we identified increased activation of the endoplasmic reticulum stress response pathway, PERK/eIF2α/ATF4, in aortic VSMCs resulting in upregulation of an apoptotic cellular response. Mechanistically, we reported that aberrant TNF-α activity within the aortic wall induces VSMC ATF4 activation through the …

Cd5-Positive High-Grade B-Cell Lymphoma With Myc, Bcl2, And Bcl6 Rearrangements, Wei J Wang, Zhihong Hu

Faculty, Staff and Student Publications

No abstract provided.

Optimized Methods To Quantify Tumor Treating Fields (Ttfields)-Induced Permeabilization Of Glioblastoma Cell Membranes, Melisa Martinez-Paniagua, Sabbir Khan, Nikita W Henning, Sri Vaishnavi Konagalla, Chirag B Patel

Faculty, Staff and Student Publications

Glioblastoma (GBM) is a lethal primary brain cancer with a 5.6% five-year survival rate. Tumor treating fields (TTFields) are alternating low-intensity electric fields that have demonstrated a GBM patient survival benefit. We previously reported that 0.5-24 h of TTFields exposure resulted in an increased uptake of FITC-dextran fluorescent probes (4-20 kDa) in human GBM cells. However, this approach, in which a fluorescence plate-based detector is used to evaluate cells attached to glass coverslips, cannot distinguish FITC-dextran uptake in live vs. dead cells. The goal of the study was to report the optimization and validation of two independent methods to quantify …

Stratification System With Dual Human Endogenous Retroviruses For Predicting Immunotherapy Efficacy In Metastatic Clear-Cell Renal Cell Carcinoma, Xiaofan Lu, Yann-Alexandre Vano, Xiaoping Su, Virginie Verkarre, Cheng-Ming Sun, Wenxuan Cheng, Li Xu, Fangrong Yan, Salma Kotti, Wolf Hervé Fridman, Catherine Sautes-Fridman, Stéphane Oudard, Gabriel G Malouf

Faculty, Staff and Student Publications

Background: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. While the dysregulation of ERV transcription has been linked to immune cell infiltration in various cancers, its relationship with immune checkpoint inhibitor (ICI) response in solid tumors, particularly metastatic clear-cell renal cell carcinoma (ccRCC), remains inadequately explored.

Methods: This study analyzed patients with metastatic ccRCC from two prospective clinical trials, encompassing 181 patients receiving nivolumab in the CheckMate trials (-009 to -010 and -025) and 48 patients treated with the ipilimumab-nivolumab combination in the BIONIKK trial. ERV expression was quantified using the ERVmap algorithm …

A Deconvolution Framework That Uses Single-Cell Sequencing Plus A Small Benchmark Data Set For Accurate Analysis Of Cell Type Ratios In Complex Tissue Samples, Shuai Guo, Xiaoqian Liu, Xuesen Cheng, Yujie Jiang, Shuangxi Ji, Qingnan Liang, Andrew Koval, Yumei Li, Leah A Owen, Ivana K Kim, Ana Aparicio, Sanghoon Lee, Anil K Sood, Scott Kopetz, John Paul Shen, John N Weinstein, Margaret M Deangelis, Rui Chen, Wenyi Wang

Faculty, Staff and Student Publications

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we utilize an experimental design to match inter-platform biological signals, hence revealing the technological discrepancy, and then develop a deconvolution framework called DeMixSC using this well-matched, that is, benchmark, data. Built upon a novel weighted nonnegative least-squares framework, DeMixSC identifies and adjusts genes with high technological discrepancy and aligns the benchmark data with large patient cohorts of matched-tissue-type for large-scale deconvolution. Our results using two benchmark data sets of healthy retinas and …

The Association Between Thyroid Differentiation Score And Survival Outcomes In Papillary Thyroid Carcinoma, Jennifer R Wang, Mark E Zafereo, Maria E Cabanillas, Chia Chin Wu, Li Xu, Yaoyi Dai, Wenyi Wang, Stephen Y Lai, Ying Henderson, Lauren Erasmus, Michelle D Williams, Corinne Joshu, Debashree Ray

Faculty, Staff and Student Publications

Context: Thyroid differentiation score (TDS), calculated based on mRNA expression levels of 16 genes controlling thyroid metabolism and function, has been proposed as a measure to quantify differentiation in papillary thyroid carcinoma (PTC).

Objective: The objective of this study is to determine whether TDS is associated with survival outcomes across patient cohorts.

Methods: Two independent cohorts of patients with PTC were used: (1) The Cancer Genome Atlas (TCGA) thyroid cancer study (N = 372), (2) MD Anderson Cancer Center (MDACC) cohort (N = 111). The primary survival outcome of interest was progression-free interval (PFI). Association with overall survival (OS) was …

Mitochondrial Uncouplers Inhibit Oncogenic E2f1 Activity And Prostate Cancer Growth, Ohuod Hawsawi, Weinan Xue, Tingting Du, Mengqi Guo, Xiaolin Yu, Mingyi Zhang, Paul S Hoffman, Roni Bollag, Jun Li, Jia Zhou, Hongbo Wang, Junran Zhang, Zheng Fu, Xiaoguang Chen, Chunhong Yan

Faculty, Staff and Student Publications

Mitochondrial uncouplers dissipate proton gradients and deplete ATP production from oxidative phosphorylation (OXPHOS). While the growth of prostate cancer depends on OXPHOS-generated ATP, the oncogenic pathway mediated by the transcription factor E2F1 is crucial for the progression of this deadly disease. Here, we report that mitochondrial uncouplers, including tizoxanide (TIZ), the active metabolite of the Food and Drug Administration (FDA)-approved anthelmintic nitazoxanide (NTZ), inhibit E2F1-mediated expression of genes involved in cell cycle progression, DNA synthesis, and lipid synthesis. Consequently, NTZ/TIZ induces S-phase kinase-associated protein 2 (SKP2)-mediated G1 arrest while impeding DNA synthesis, lipogenesis, and the growth of prostate cancer cells. …

Real-Time Cbct Imaging And Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection By A Joint Dynamic Reconstruction And Motion Estimation (Dreme) Framework, Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective: Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking methods leveraged patient-specific prior information to alleviate under-sampling challenges and meet the temporal constraint (< 500 ms), the prior information can be outdated and introduce biases, thus compromising the imaging and motion tracking accuracy. To address this challenge, we developed a framework dynamic reconstruction and motion estimation (DREME) for real-time CBCT imaging and motion estimation, without relying on patient-specific prior knowledge.

Approach: DREME incorporates a deep learning-based real-time CBCT imaging and motion estimation method into a dynamic CBCT reconstruction framework. The reconstruction framework reconstructs a dynamic sequence of CBCTs in a data-driven manner from a standard pre-treatment scan, without requiring patient-specific prior knowledge. Meanwhile, a convolutional neural network-based motion encoder is jointly trained during the reconstruction …

A Dual Role Of Cohesin In Dna Dsb Repair, Michael Fedkenheuer, Yafang Shang, Seolkyoung Jung, Kevin Fedkenheuer, Solji Park, Davide Mazza, Robin Sebastian, Hiroyuki Nagashima, Dali Zong, Hua Tan, Sushil Kumar Jaiswal, Haiqing Fu, Anthony Cruz, Supriya V Vartak, Jan Wisniewski, Vittorio Sartorelli, John J O'Shea, Laura Elnitski, Andre Nussenzweig, Mirit I Aladjem, Fei-Long Meng, Rafael Casellas

Faculty, Staff and Student Publications

Cells undergo tens of thousands of DNA-damaging events each day. Defects in repairing double-stranded breaks (DSBs) can lead to genomic instability, contributing to cancer, genetic disorders, immunological diseases, and developmental defects. Cohesin, a multi-subunit protein complex, plays a crucial role in both chromosome organization and DNA repair by creating architectural loops through chromatin extrusion. However, the mechanisms by which cohesin regulates these distinct processes are not fully understood. In this study, we identify two separate roles for cohesin in DNA repair within mammalian cells. First, cohesin serves as an intrinsic architectural factor that normally prevents interactions between damaged chromatin. Second, …

A Novel Case Of Glial Transdifferentiation In Renal Medullary Carcinoma Brain Metastasis, Maria A Gubbiotti, Ian E Mccutcheon, Priya Rao, Giannicola Genovese, Linghua Wang, Artem Tarasov, Vladislav Putintsev, Amber Berlinski, Danil Stupichev, Kirill Kriukov, Suren Davitavyan, Basim Salem, Alexander Sarachakov, Dmitry Lebedev, Michael Hensley, Alexander Bagaev, Francesca Paradiso, Vladimir Kushnarev, Gleb Khegai, Nizar M Tannir, Pavlos Msaouel

Faculty, Staff and Student Publications

Renal medullary carcinoma is a rare undifferentiated tumor of the kidney associated with sickle cell trait and characterized by INI1 (SMARCB1) loss. Although metastasis to lungs, lymph nodes, and bone is commonly reported, distant spread to the central nervous system almost never occurs. Here we present an unusual case of a patient with renal medullary carcinoma with metastasis to the brain following treatment which included tazemetostat, an EZH2 inhibitor. The metastatic brain lesion harbored morphologic, immunohistochemical, and methylation profile supportive of a primary CNS phenotype with loss of the trimethylated lysine 27 residue of histone 3 while maintaining INI1 loss …

The Clinical Utility Of A Next-Generation Sequencing-Based Approach To Detecting Circulating Hpv Dna In Patients With Advanced Anal Cancer, Deepak Bhamidipati, Jay R Johnson, Kangyu Lin, Helene Pelicano, Cathy Eng, Ryan Huey, Robert A Wolff, Daniel M Halperin, Michael F Frumovitz, Ignacio I Wistuba, Dzifa Y Duose, Saradhi Mallampati, Rajyalakshmi Luthra, Van K Morris

Faculty, Staff and Student Publications

Background: To extend the practicality of liquid biopsy beyond the historical HPV circulating tumor DNA (ctDNA) assays, we evaluated the clinical relevance of a novel next-generation sequencing HPV ctDNA assay in patients with locally advanced and metastatic squamous cell cancer of the anal canal (mSCCA).

Methods: ctDNA isolated from the plasma of patients with mSCCA was sequenced using a 1.4 Mb hybrid-capture target-enrichment panel covering the whole genome sequences of all 193 HPV types. The HPV type, copy number (CN), and integration sites were determined using a bioinformatic pipeline.

Results: A total of 77 plasma samples from 28 patients with …