Genetic Phenomena Commons^™

A Phase Ib Trial Of Selinexor In Combination With Immune Checkpoint Blockade In Patients With Advanced Renal Cell Carcinoma, Omar Alhalabi, Mohamed A Gouda, Denái R Milton, Hassan Ahmed Momin, Bulent Yilmaz, Chinenye Lynette Ejezie, Serdar A Gurses, Jeffrey How, Siqing Fu, Jordi Rodon, David S Hong, Sarina A Piha-Paul, Vivek Subbiah, Ecaterina Elena Dumbrava, Daniel D Karp, Filip Janku, Funda Meric-Bernstam, Nizar M Tannir, Aung Naing

Faculty, Staff and Student Publications

Background: Selinexor (SEL) is a nuclear exportin 1 inhibitor that blocks the transport of nuclear proteins, including tumor suppressors, to the cytoplasm. Preclinical data suggest that the combination of SEL with checkpoint blockade may result in improved response to immunotherapy.

Methods: NCT02419495 was a multiarm phase IB study of SEL in combination with other standard regimens in patients with advanced malignancies. Arm M utilized twice weekly oral SEL and intravenous nivolumab (NIVO). Arm N utilized weekly oral SEL with NIVO plus ipilimumab (IPI). The primary objective of this study was to evaluate the safety of SEL + NIVO and SEL …

Real-World Neoadjuvant And Adjuvant Trastuzumab-Containing Regimen Patterns And Their Association With Survival Among Patients With Operable Her2-Positive Breast Cancer From 2007 To 2021, Hui Zhao, Chan Shen, Jaime J Laureano, Xiudong Lei, Jiangong Niu, Mariana Chavez-Macgregor

Faculty, Staff and Student Publications

Purpose: Chemotherapy in combination with trastuzumab is the standard neoadjuvant and adjuvant therapy for human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). Assessing the regimens administered to patients with HER2-positive BC in the real world is lacking. We evaluated neoadjuvant and adjuvant regimen patterns among HER2-positive BC patients (2007 to 2021) identified in a health insurance claims database.

Methods: Female BC patients ≥ 18 years who received chemotherapy, surgery, and trastuzumab were chosen from Optum's de-identified Clinformatics® Data Mart database. Summary statistics, Joinpoint models, Kaplan-Meier survival curves, and Cox regression models were used to analyze the data.

Results: …

Healthcare Costs In The United States By Demographic Characteristics And Comorbidity Status, Naomi N Adjei, Allen Haas, Charlotte C Sun, Hui Zhao, Paul G Yeh, Iakovos Toumazis

Faculty, Staff and Student Publications

Objectives: Current, real-world healthcare cost information is needed to project future expenditures and inform policy. We estimated the healthcare costs for adults in 2019 in the United States by age, sex, race/ethnicity, geographic region, and comorbidity.

Methods: We aggregated and summarized the healthcare costs in 2021 US dollars using claims data derived from Optum's deidentified Clinformatics® Data Mart Database, which includes inpatient, outpatient, and prescription claims for commercial and Medicare Advantage beneficiaries nationwide.

Results: A total of 9 227 901 adults were included in the analysis. The largest group represented was 71 to 75 years old (13%), female (53%), White …

Molecular Classification Of Endometrial Cancers (Ec) And Association With Relapse-Free Survival (Rfs) And Overall Survival (Os) Outcomes: Ancillary Analysis Of Gog-0258, Aine Clements, Danielle Enserro, Kyle C Strickland, Rebecca Previs, Daniela Matei, Matthew Powell, David Scott Miller, William Small, Paul Disilvestro, Nick Spirtos, Casey Cosgrove, Greg Sfakianos, J Rebecca Liu, Roberto Vargas, Mark Shahin, Bradley Corr, Kimberly Dessources, Frederick Ueland, David Warshal, Jessica Gillen, Angeles Alvarez Secord

Faculty, Staff and Student Publications

Purpose: Determine if molecular classification using mismatch repair (MMR) and p53 protein expression predicts recurrence-free survival (RFS) and overall survival (OS) in endometrial cancer (EC) patients treated with chemotherapy and radiation (CRT) versus chemotherapy (CT).

Methods: GOG-0258, a phase III randomized trial (NCT00942357), compared CRT to CT. Immunohistochemistry assessed MMR and p53 status. Kaplan-Meier curves and adjusted Cox models analyzed survival outcomes by molecular subtype.

Results: ECs classified as deficient MMR (dMMR) (27 %), p53 abnormal (p53abn) (24 %), and p53 wild type (p53wt) (49 %). p53abn were more frequent in patients that were older, Black, and had …

Pexidartinib And Standard Neoadjuvant Therapy In The Adaptively Randomized I-Spy2 Trial For Early Breast Cancer, Hope S Rugo, Mike Campbell, Christina Yau, A Jo Chien, Anne M Wallace, Judy C Boughey, Meredith Buxton, Julia L Clennell, Smita M Asare, Katherine Steeg, Amy Wilson, Ruby Singhrao, Jeffrey B Matthews, Jane Perlmutter, W Fraser Symmans, Nola M Hylton, Angela M Demichele, Douglas Yee, Laura J Van't Veer, Donald A Berry, Laura J Esserman

Faculty, Staff and Student Publications

Purpose: We investigated the small-molecule receptor tyrosine kinase-inhibitor of colony-stimulating factor-1 receptor pexidartinib in the stage II/III breast cancer in the I-SPY2 platform trial.

Methods: I-SPY2 is an adaptive platform trial that features multiple arms of experimental agents administered on a background of standard neoadjuvant therapy with paclitaxel and adriamycin/cyclophosphamide, followed by definitive surgery. The adaptive randomization engine preferentially assigns patients based upon cumulative performance of each agent in a given breast cancer subtype based on hormone receptor and HER2 receptor status. The study endpoint is pathologic complete response.

Results: A total of 9 participants were randomized to receive pexidartinib …

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

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 …

Best Practices For Delivering Neoadjuvant Therapy In Pancreatic Ductal Adenocarcinoma, Jordan M Cloyd, Angela Sarna, Matthew J Arango, Susan E Bates, Manoop S Bhutani, Vincent Chung, Cristina R Ferrone, Patricia F Gambino, Ajit H Goenka, Karyn A Goodman, William A Hall, Jin He, Melissa E Hogg, Shiva Jayaraman, Avinash Kambadakone, Matthew H G Katz, Alok A Khorana, Andrew H Ko, Eugene J Koay, David A Kooby, Somashekar G Krishna, Liliana K Larsson, Richard T Lee, Anirban Maitra, Nader N Massarweh, Sameh Mikhail, Mahvish Muzaffar, Eileen M O'Reilly, Manisha Palta, Maria Q B Petzel, Philip A Philip, Marsha Reyngold, Daniel Santa Mina, Davendra P S Sohal, Tilak K Sundaresan, Susan Tsai, Kea L Turner, Timothy J Vreeland, Steve Walston, M Kay Washington, Terence M Williams, Jennifer Y Wo, Rebecca A Snyder

Faculty, Staff and Student Publications

Importance: Neoadjuvant therapy (NT) is an increasingly used treatment strategy for patients with localized pancreatic ductal adenocarcinoma (PDAC). Little research has been conducted on cancer care delivery during NT, and the standards for optimal delivery of NT have not been defined.

Objective: To develop consensus best practices for delivering NT to patients with localized PDAC.

Design, setting, and participants: This study used a modified Delphi approach consisting of 2 rounds of voting, and a series of virtual conferences (from October to December 2023) to reach expert consensus on candidate best practice statements generated from a systematic review of the literature …

Impact Of Body Mass Index On Outcomes Of Multiple Myeloma Patients Undergoing Upfront Autologous Stem Cell Transplant, Curtis Marcoux, Sarah Pasyar, Denái R Milton, Hina N Khan, Mark R Tanner, Samer Srour, Paul Lin, Jeremy Ramdial, Yago Nieto, Niraj Neupane, Hans C Lee, Krina K Patel, Guilin Tang, Yosra Aljawai, Partow Kebriaei, Sheeba K Thomas, Robert Z Orlowski, Elizabeth J Shpall, Richard Champlin, Muzaffar H Qazilbash, Oren Pasvolsky

Faculty, Staff and Student Publications

No abstract provided.

Chemoresistance-Motility Signature Of Molecular Evolution To Chemotherapy In Non-Muscle-Invasive Bladder Cancer And Its Clinical Implications, Mi-So Jeong, Seung-Woo Baek, Gi-Eun Yang, Jeong-Yeon Mun, Jeong Ah Kim, Jong-Kil Nam, Ju-Seog Lee, In-Sun Chu, Sun-Hee Leem

Faculty, Staff and Student Publications

Non-muscle-invasive bladder cancer (NMIBC) often recurs and can progress to MIBC due to resistance to treatments like intravesical chemotherapy or Bacillus Calmette-Guérin (BCG). Therefore, we established the Gemcitabine-Resistant Cells (GRCs) to study the molecular evolution under external pressure. A 63-gene Chemoresistance-Motility (CrM) signature was created to identify stage-specific traits of GRCs. This signature was tested on 1846 samples using log-rank tests and Cox regression to evaluate clinical utility. Early and intermediate resistance stages showed increased cell motility and metastatic potential. FAK, PI3K-AKT, and TGFβ pathways were activated first, followed by MAPK signaling. Single-cell analysis and experiments utilizing the CrM signature …

Recurrence-Free Survival Prediction For Anal Squamous Cell Carcinoma After Chemoradiotherapy Using Planning Ct-Based Radiomics Model, Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N Sanford

Faculty, Staff and Student Publications

Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model leveraging information extracted from radiation pretreatment planning CT to predict recurrence-free survival (RFS) in ASCC patients after CRT.

Methods: Radiomics features were extracted from planning CT images of 96 ASCC patients. Following pre-feature selection, the optimal feature set was selected via step-forward feature selection with a multivariate Cox proportional hazard model. The RFS prediction was generated from a radiomics-clinical combined model based on an optimal feature …

A Multicenter Open-Label Randomized Phase Ii Study Of Osimertinib With And Without Ramucirumab In Tyrosine Kinase Inhibitor–Naïve Egfr-Mutant Metastatic Non–Small Cell Lung Cancer (Ramose Trial), Xiuning Le, Jyoti D Patel, Elaine Shum, Christina Baik, Rachel E Sanborn, Chul Kim, Richard Hall, Yasir Y Elamin, Janet Tu, George Blumenschein, Jianjun Zhang, Don Gibbons, Carl Gay, Nisha A Mohindra, Young Chae, Yanis Boumber, Joshua Sabari, Rafael Santana-Davila, Shane Rogosin, Benjamin Herzberg, Ben Creelan, Bruna Pellini, Tawee Tanvetyanon, Simon Heeke, Mike Hernandez, Jhanelle E Gray, Andreas Saltos, John V Heymach

Faculty, Staff and Student Publications

Purpose: Preclinical studies demonstrated that dual inhibition of epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF) pathways delay the emergence of resistance to EGFR tyrosine kinase inhibitors (TKIs), and in trials with first-generation EGFR TKIs, the combination of EGFR VEGF pathway inhibitors prolonged progression-free survival (PFS).

Methods: The RAMOSE trial (ClinicalTrials.gov identifier: NCT03909334, HCRN LUN-18-335) is a randomized, open-label multicenter phase II study comparing osimertinib with ramucirumab (arm A) to osimertinib (arm B) for initial treatment of metastatic EGFR-mutant non-small cell lung cancer (NSCLC) with 2:1 random assignment. The primary end point is PFS for …

Decoding Cancer Etiology With Cellular Reprogramming, Mo-Fan Huang, Megan E Fisher, Trinh T T Phan, Ruiying Zhao, Dung-Fang Lee

Faculty, Staff and Student Publications

Cancer research remains clinically unmet in many areas due to limited access to patient samples and the lack of reliable model systems that truly reflect human cancer biology. The emergence of patient-derived induced pluripotent stem cells and engineered human pluripotent stem cells (hPSCs) has helped overcome these challenges, offering a versatile alternative platform for advancing cancer research. These hPSCs are already proving to be valuable models for studying specific cancer driver mutations, offering insights into cancer origins, pathogenesis, tumor heterogeneity, clonal evolution, and facilitating drug discovery and testing. This article reviews recent progress in utilizing hPSCs for clinically relevant cancer …

The Role Of Double-Zero-Event Studies In Evidence Synthesis: Evaluating Robustness Using The Fragility Index, Zelin Wang, Xing Xing, Eun-Young Mun, Chong Wu, Lifeng Lin

Faculty, Staff and Student Publications

Rationale: Zero-event counts are common in clinical studies, particularly when assessing rare adverse events. These occurrences can result from low event rates, short follow-up periods, and small sample sizes. When both intervention and control groups report zero events in a clinical trial, the study is referred to as a double-zero-event study, which presents methodological challenges for evidence synthesis. There has been ongoing debate about whether these studies should be excluded from evidence synthesis, as traditional two-stage meta-analysis methods may not estimate an effect size for them. Recent research suggests that these studies may still contain valuable clinical and statistical information. …

Association Of Serum Endocannabinoid Levels With Pancreatitis And Pancreatitis-Related Pain, Marc T Goodman, Christina Lombardi, Alexa Torrens, Catherine Bresee, Jami L Saloman, Yunlong Yang, Evan L Fogel, Christopher E Forsmark, Darwin L Conwell, Phil A Hart, Walter G Park, Mark Topazian, Santhi S Vege, Stephen K Van Den Eeden, Melena D Bellin, Dana K Andersen, Jose Serrano, Dhiraj Yadav, Stephen J Pandol, Daniele Piomelli

Faculty, Staff and Student Publications

No abstract provided.

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, Ailing Huang, 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, Brandi De Bruijn, 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 …

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, Paul Lin, 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 …

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.

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, Amirtha Shekar, 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 …

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, Jianxin Wang, 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 …

Genome-Wide Profiling Of Trna Modifications By Induro-Trnaseq Reveals Coordinated Changes, Yuko Nakano, Howard Gamper, Henri Mcguigan, Sunita Maharjan, Jiatong Li, Zhiyi Sun, Erbay Yigit, Sebastian Grünberg, Keerthana Krishnan, Nan-Sheng Li, Joseph Piccirilli, Ralph Kleiner, Nicole Nichols, Brian Gregory, Ya-Ming Hou

Department of Biochemistry and Molecular Biology Faculty Papers

While all native tRNAs undergo extensive post-transcriptional modifications as a mechanism to regulate gene expression, mapping these modifications remains challenging. The critical barrier is the difficulty of readthrough of modifications by reverse transcriptases (RTs). Here we use Induro-a new group-II intron-encoded RT-to map and quantify genome-wide tRNA modifications in Induro-tRNAseq. We show that Induro progressively increases readthrough over time by selectively overcoming RT stops without altering the misincorporation frequency. In a parallel analysis of Induro vs. a related RT, we provide comparative datasets to facilitate the prediction of each modification. We assess tRNA modifications across five human cell lines and …

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 …

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, Dan S Gombos, 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. …

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, Yang Liu, 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 …

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.

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, Andrea Obi, 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 …

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 …