Genetic Phenomena Commons^™

Deficits In Mitochondrial Dynamics And Iron Balance Result In Templated Insertions, Jordan Fox, Yang Yu, Yang Yu, Pilendra Thakre, Chloe Fox, Qian Li, Yunxia Wang, Adam Hughes, Xin Wang, Kaifu Chen, Grzegorz Ira

Faculty, Staff and Students Publications

Mitochondrial membrane dynamics control the shape, number, and distribution of mitochondria and regulate energy production and cell health. In a screen for yeast mutants with increased levels of templated insertions (~10-1000 bp) in the nuclear genome, we identified mitochondrial fusion deficient mutants (mgm1Δ, ugo1Δ, fzo1Δ). We found that fusion mutants activate the iron regulon, have decreased iron-sulfur clusters (ISCs), and increased DNA damage, suggesting a role of iron homeostasis in preventing insertions. Consistently, a secondary screen found mutants affecting iron-sulfur cluster production (yfh1Δ, grx5Δ), vacuolar iron storage (ccc1Δ) or general iron homeostasis (aft1Δ) to exhibit high insertion levels. Treatment with …

A Hypomorphic Model Of Cps1 Deficiency For Investigating The Effects Of Hyperammonemia On The Developing Nervous System, Stuti Bakshi, Taryn Diep, Brandon J Willis, Rachel Reyes, Grace F Wu, Georgios Makris, Martin Poms, Isabel Day, Qin Sun, Irina Zhuravka, Lindsay Lueptow, Michelle Tang, Gareth A Cromie, Aimée M Dudley, Johannes Häberle, Gerald S Lipshutz

Faculty, Staff and Students Publications

Carbamoyl phosphate synthetase 1 (CPS1) deficiency is a rare metabolic disorder that, in neonatal onset, is typically characterized by severe life-threatening and neurologically injuring hyperammonemic episodes with high unmet patient need. Patients that retain limited enzyme activity may present later in life with less severe hyperammonemia. CPS1 drives the first step in the urea cycle, the pathway terrestrial mammals utilize to metabolize nitrogen. In order to probe the effect of hyperammonemia on the developing nervous system and explore new therapies, a murine Cps1 exon 3-4 mutant was previously generated. However, these mice die within 24 h of birth, limiting study …

First-In-Human Phase 1 Study Of Khk2455 Monotherapy And In Combination With Mogamulizumab In Patients With Advanced Solid Tumors, Timothy A Yap, Olivier Rixe, Capucine Baldini, Ursa Brown-Glaberman, Sergey Efuni, David S Hong, Christophe Massard, Jameel Muzaffar, Andreea Varga, Emrullah Yilmaz, Yuta Ikawa, Lisa H Shiue, Yi Liu, Matthew W Hruska, Henry Zhao, Akihiro Tokunaga, Solmaz Sahebjam

Faculty, Staff and Student Publications

Background: Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme that degrades tryptophan (Trp) to kynurenine (Kyn), which suppresses effector T cells and reduces antitumor activity. KHK2455 is a long-acting selective IDO1 inhibitor that blocks the heme component of the IDO holoenzyme. Mogamulizumab is a humanized immunoglobulin G1 monoclonal antibody targeting CCR4. KHK2455 + mogamulizumab demonstrated enhanced antitumor activity in preclinical studies, which led to a first-in-human, two-part, multicenter, open-label, phase 1, dose-escalation, cohort-expansion trial (ClinicalTrials.gov identifier NCT02867007) evaluating the safety/tolerability, pharmacokinetics, and IDO1 activity of KHK2455 alone and in combination with mogamulizumab in patients with treatment-refractory advanced solid tumors. …

Investigation Of A Pathogenic Inversion In Unc13d And Comprehensive Analysis Of Chromosomal Inversions Across Diverse Datasets, Tugce Bozkurt-Yozgatli, Ming Yin Lun, Jesse D Bengtsson, Ugur Sezerman, Ivan K Chinn, Zeynep Coban-Akdemir, Claudia M B Carvalho

Faculty, Staff and Student Publications

Inversions are known contributors to the pathogenesis of genetic diseases. Identifying inversions poses significant challenges, making it one of the most demanding structural variants (SVs) to detect and interpret. Recent advancements in sequencing technologies and the development of publicly available SV datasets have substantially enhanced our capability to explore inversions. However, a cross-comparison in those datasets remains unexplored. In this study, we reported a proband with familial hemophagocytic lymphohistiocytosis type-3 carrying a splicing variant (c.1389+1G>A) in trans with an inversion present in 0.006345% of individuals in gnomAD (v4.0) that disrupts UNC13D. Based on this result, we investigate the features …

Distinguishing Pex2 And Pex16 Gene Variant Severity For Mild, Severe And Atypical Peroxisome Biogenesis Disorders, Vanessa A Gomez, Oguz Kanca, Sharayu V Jangam, Saurabh Srivastav, Jonathan C Andrews, Michael F Wangler

Duncan NRI Faculty and Staff Publications

Peroxisomal biogenesis disorders (PBD) are autosomal recessive diseases caused by mutations in specific PEX genes that impair peroxisome formation, leading to multi-systemic failure. Symptoms vary, even in patients with variants in the same PEX gene. Our goal is to select PEX mutations and use Drosophila to model a severity spectrum based on genotype-phenotype correlations. Utilizing KozakGAL4 (KZ) cassettes, we replaced the coding sequence of Pex with a GAL4 driver, ideal for making 'humanized' flies in which human PEX can replace the fly loss. We generated Pex2KZ and Pex16KZ lines and assessed them in various behavior assays, confirming their severe phenotypes. …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

Non-Invasive Tools For Analysis Of Plasma Membrane Protein Topology In Living Cells, Daria Savenkova, Leysan Bulatova, Vera Skripova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Membrane protein topology studies offer guidance to membrane protein structure, folding, and function, serving as a credible scaffold for designing site-directed mutagenesis and biochemical experiments, helping to identify functionally significant extracellular and intracellular regions, modeling three-dimensional structures, and building reliable mechanistic models. Membrane protein structure as a function of given lipid composition and physiological state of the cell is best probed in whole intact cells. A described simple and advanced immunofluorescence protocol applied to the transmembrane orientation of extramembrane domains permits a topology analysis of plasma membrane proteins in their native state in living unperturbed eucaryotic cells. The accessibility of …

Long Akap18 Isoforms Anchor Ubiquitin Specific Proteinases And Coordinate Calcium Reuptake At The Sarcoplasmic Reticulum, Taeyeop Park, Katherine Forbush, Yong Li, Oscar Vivas, Kacey J Rosenthal, Jerome Falcone, Cassandra J Wong, James E Bruce, Claudia Moreno, Carmen W Dessauer, John D Scott

Faculty, Staff and Student Publications

Subcellular targeting of signaling enzymes influences where and when various modes of intracellular communication operate. Macromolecular complexes of signal transduction and signal termination elements favor reversible control of repetitive processes. This includes adrenergic stimulation of excitation–contraction coupling in the heart. Long isoforms of A-kinase anchoring protein 18 (AKAP18γ and δ) modulate this process via regulation of calcium uptake into the sarcoplasmic reticulum through the Ca2+ATPase 2a (SERCA2a). AKAP18 proximity-proteomic screening in cardiomyocytes identifies networks for protein kinase A (PKA) and ubiquitin-specific proteinases (USPs). A 2′phosphoesterase domain on AKAP18 interfaces with the USP4 isoform at the Z bands of sarcomeres. PKA …

Bridging Cell Morphological Behaviors And Molecular Dynamics In Multi-Modal Spatial Omics With Morphlink, Jing Huang, Chenyang Yuan, Jiahui Jiang, Jianfeng Chen, Sunil S Badve, Yesim Gokmen-Polar, Rossana L Segura, Xinmiao Yan, Alexander Lazar, Jianjun Gao, Bing Yao, Michael Epstein, Linghua Wang, Jian Hu

Faculty, Staff and Student Publications

Multi-modal spatial omics data are invaluable for exploring complex cellular behaviors in diseases from both morphological and molecular perspectives. Current analytical methods primarily focus on clustering and classification, and do not adequately examine the relationship between cell morphology and molecular dynamics. Here, we present MorphLink, a framework designed to systematically identify disease-related morphological-molecular interplays. MorphLink has been evaluated across a wide array of datasets, showcasing its effectiveness in extracting and linking interpretable morphological features with various molecular measurements in spatial omics analyses. These linkages provide a transparent view of cellular behavior heterogeneity within tissue regions with similar cell type compositions, …

Utility Of The Us Preventive Services Task Force For Preeclampsia Risk Assessment And Aspirin Prophylaxis, Thomas F Mcelrath, Arun Jeyabalan, Arkady Khodursky, Alison B Moe, Manfred Lee, Maneesh Jain, Laura Goetzl, Elizabeth F Sutton, Pamela M Simmons, George R Saade, Antonio Saad, Luis D Pacheco, Esther Park-Hwang, Antonina I Frolova, Ebony B Carter, Ai-Ris Y Collier, Daniel G Kiefer, Vincenzo Berghella, Rupsa C Boelig, Michal A Elovitz, Cynthia Gyamfi-Bannerman, Joseph R Biggio, Kara Rood, William A Grobman, Carrie Haverty, Morten Rasmussen

Faculty, Staff and Student Publications

Importance: The US Preventive Services Task Force (USPSTF) guidelines on preeclampsia risk assessment and aspirin prophylaxis (AP) have not been evaluated for clinical utility.

Objective: To evaluate which characteristics in the USPSTF guidelines identify risk status and the association of preeclampsia risk with AP recommendations.

Design, setting, and participants: This observational cohort study enrolled from July 2020 to March 2023 with data analysis performed from October to December 2024. Enrollment occurred at 11 centers throughout the US or via direct-to-participant recruitment. Pregnant participants aged 18 years or older with a singleton pregnancy less than 22 weeks' gestation were selected via …

Practical Considerations For Using The Tite-Boin Design To Handle Late-Onset Toxicity Or Fast Accrual In Phase I Trials, Kai Chen, Ting-Yu Chen, Yiming Zhang, Ruitao Lin, Ying Yuan

Faculty, Staff and Student Publications

Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation …

Myh11 Rare Variant Augments Aortic Growth And Induces Cardiac Hypertrophy And Heart Failure With Pressure Overload, Zhen Zhou, Kgosi Hughes, Nisha Saif, Hyoseon Kim, Michael P Massett, Mingjie Zheng, Alana C Cecchi, Dongchuan Guo, David R Murdock, Ping Pan, Jelita S Clinton, Jun Wang, John M Greally, Dianna M Milewicz

Faculty, Staff and Student Publications

Smooth muscle cell-specific myosin heavy chain, encoded by MYH11, is selectively expressed in smooth muscle cells (SMCs). Pathogenic variants in MYH11 predispose to a number of disorders, including heritable thoracic aortic disease associated with patent ductus arteriosus, visceral myopathy, and megacystis-microcolon-intestinal hypoperistalsis syndrome. Rare variants of uncertain significance occur throughout the gene, including MYH11 p.Glu1892Asp, and we sought to determine if this variant causes thoracic aortic disease in mice. Genomic editing was used to generate Myh11E1892D/E1892D mice. Wild-type (WT) and mutant mice underwent cardiovascular phenotyping with and without transverse aortic constriction (TAC). Myh11E1892D/E1892D and WT mice displayed …

Incomplete Toxicity Reporting And Use Of Toxicity-Minimizing Language In Phase Iii Oncology Trials, Avital M Miller, Adina H Passy, Alexander D Sherry, Ramez Kouzy, Joseph Abi Jaoude, Timothy A Lin, Gabrielle S Kupferman, Esther J Beck, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: This study aimed to determine complete toxicity reporting (CTR), and the use of subjective toxicity-minimizing language (TML) among phase III oncology trials.

Methods: Two-arm superiority-design phase III oncology trials published from 2002 to 2020 were reviewed for toxicity data. CTR was defined as reporting total adverse events (TAEs), total serious adverse events (SAEs), total deaths, and study therapy discontinuations because of toxicity. Guideline concordance was defined according to guidelines published in the BMJ (defined as reporting total SAEs, total deaths, and study therapy discontinuations because of toxicity). TML was defined as a set of terms that subjectively downplay the …

Comprehensive Genome Analysis And Variant Detection At Scale Using Dragen, Sairam Behera, Severine Catreux, Massimiliano Rossi, Sean Truong, Zhuoyi Huang, Michael Ruehle, Arun Visvanath, Gavin Parnaby, Cooper Roddey, Vitor Onuchic, Andrea Finocchio, Daniel L Cameron, Adam English, Shyamal Mehtalia, James Han, Rami Mehio, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Research and medical genomics require comprehensive, scalable methods for the discovery of novel disease targets, evolutionary drivers and genetic markers with clinical significance. This necessitates a framework to identify all types of variants independent of their size or location. Here we present DRAGEN, which uses multigenome mapping with pangenome references, hardware acceleration and machine learning-based variant detection to provide insights into individual genomes, with ~30 min of computation time from raw reads to variant detection. DRAGEN outperforms current state-of-the-art methods in speed and accuracy across all variant types (single-nucleotide variations, insertions or deletions, short tandem repeats, structural variations and copy …

Involved But Not Essential: Cognitive Activity In Periventricular Nodules And Neuropsychological Outcomes Following Their Ablation, Yosefa A Modiano, Oscar Woolnough, Ryan M Mccormack, Kathryn Snyder, Ellery Wheeler, Samden D Lhatoo, Nuria Lacuey, Sandipan Pati, Katherine Harris, Jay Gavvala, Jessica A Johnson, Nitin Tandon

Faculty, Staff and Student Publications

Objective: Periventricular nodular heterotopia (PVNH) is a malformation of cortical development with high rates of epilepsy. The extent to which nodules participate in normal cerebral functions in addition to pathological processes is unclear. The authors assessed the functional utility (i.e., cognitive impacts) of surgically ablated epileptogenic PVNH tissue via comprehensive neuropsychological testing.

Methods: The sample included 32 patients with PVNH who underwent presurgical neuropsychological evaluation and a subsample of 16 patients who underwent MR-guided laser interstitial thermal therapy (MRgLITT) of nodules, with postsurgical neuropsychological testing. In 11 patients in whom intracranial recordings were performed, reading and naming tasks were tested …

Diagnostic Guidance For Chronic Complex Regional Pain Syndrome Type I And Type Ii From The American Society Of Interventional Physicians (Asipp), Christopher Gharibo, Miles Day, Steve M Aydin, Alan D Kaye, Salahadin Abdi, Sudhir Diwan, Lisa V Doan, Danielle Feng, Kris Ferguson, Kirolos Georges, Andrew Kaufman, Nebojsa Nick Knezevic, Sean Li, Franzes A Liongson, Devi Nampiaparampil, Annu Navani, Mahendra Sanapati, Michael E Schatman, Amol Soin, Peter S Staats, Giustino Varrassi, Jing Wang, Laxmaiah Manchikanti

Faculty, Staff and Student Publications

Background: Complex Regional Pain Syndrome (CRPS) is a challenging and often disabling condition marked by persistent pain, most commonly in a limb following injury or surgery. It presents with a wide array of symptoms, including intense pain, swelling, alterations in skin color and temperature, motor dysfunction, and trophic changes such as skin and tissue atrophy. While the precise cause of CRPS is not fully understood, it is thought to stem from abnormal nervous system activity, leading to heightened pain sensitivity and inflammatory responses. A thorough understanding of CRPS is essential for accurate diagnosis, effective treatment, and enhancing patients' quality of …

Ovarian Cancer Risk And Survival According To Tumor Sex Hormone Receptor Expression: An Ovarian Cancer Association Consortium And Ovarian Tumor Tissue Analysis Consortium Pooled Analysis, Zhuxuan Fu, Lauren Borho, Sarah E Taylor, Linda E Kelemen, Anna Defazio, Penelope M Webb, Martin Köbel, Nicola S Meagher, Renhua Na, Antonis C Antoniou, Alison H Brand, Catherine J Kennedy, Nikilyn Nevins, Paul D P Pharoah, Yurii B Shvetsov, Stacey J Winham, Jennifer Alsop, Matthias W Beckmann, Adelyn Bolithon, Jessica Boros, David D L Bowtell, James D Brenton, Michael E Carney, Anita Chudecka-Głaz, Linda S Cook, Cezary Cybulski, Peter A Fasching, Sian Fereday, Renée T Fortner, María J García, Ellen L Goode, Marc T Goodman, Jacek Gronwald, Arndt Hartmann, Brenda Y Hernandez, Estrid Høgdall, David G Huntsman, Allan Jensen, Mercedes Jimenez-Linan, Janine M Joseph, Beth Y Karlan, Ewa Kaznowska, Susanne K Kjaer, Tomasz Kluz, Jennifer M Koziak, Jenny Lester, Teri A Longacre, Maria Lycke, Valerie Mcguire, Kirsten B Moysich, Rachel A Murphy, Sandra Orsulic, Susan J Ramus, Cristina Rodríguez-Antona, Joseph H Rothstein, Spinder Samra, Weiva Sieh, Helen Steed, Karin Sundfeldt, Aline Talhouk, Jan Uciński, Chen Wang, Nicolas Wentzensen, Alice S Whittemore, Lynne R Wilkens, Thomas Songer, Maria Mori Brooks, Lu Tang, Francesmary Modugno

Faculty, Staff and Student Publications

Objective: Many epithelial ovarian cancer (EOC) risk factors relate to sex hormones. The association between these factors and the expression of androgen receptor (AR), estrogen receptor-α (ER), and progesterone receptor (PR) in tumors is unknown.

Method: We linked epidemiologic, AR/ER/PR tumor expression, and survival data from 19 studies in the Ovarian Cancer Association Consortium (OCAC; 4762 cases, 20,888 controls) and the Ovarian Tumor Tissue Analysis (OTTA) consortium (5737 cases). We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) between hormonally-linked factors and tumor AR/ER/PR expression using polytomous logistic regression. We assessed survival by AR/ER/PR tumor expression overall and …

Bayesian Inference Of Fitness Landscapes Via Tree-Structured Branching Processes, Xiang Ge Luo, Jack Kuipers, Kevin Rupp, Koichi Takahashi, Niko Beerenwinkel

Faculty, Staff and Student Publications

Motivation: The complex dynamics of cancer evolution, driven by mutation and selection, underlies the molecular heterogeneity observed in tumors. The evolutionary histories of tumors of different patients can be encoded as mutation trees and reconstructed in high resolution from single-cell sequencing data, offering crucial insights for studying fitness effects of and epistasis among mutations. Existing models, however, either fail to separate mutation and selection or neglect the evolutionary histories encoded by the tumor phylogenetic trees.

Results: We introduce FiTree, a tree-structured multi-type branching process model with epistatic fitness parameterization and a Bayesian inference scheme to learn fitness landscapes from single-cell …

The Long-Term Effects Of Chemotherapy On Normal Blood Cells, Emily Mitchell, My H Pham, Anna Clay, Rashesh Sanghvi, Nicholas Williams, Sandra Pietsch, Joanne I Hsu, Nina Friesgaard Øbro, Hyunchul Jung, Aditi Vedi, Sarah Moody, Jingwei Wang, Daniel Leonganmornlert, Michael Spencer Chapman, Ellie Dunstone, Anna Santarsieri, Alex Cagan, Heather E Machado, E Joanna Baxter, George Follows, Daniel J Hodson, Ultan Mcdermott, Gary J Doherty, Inigo Martincorena, Laura Humphreys, Krishnaa Mahbubani, Kourosh Saeb Parsy, Koichi Takahashi, Margaret A Goodell, David Kent, Elisa Laurenti, Peter J Campbell, Raheleh Rahbari, Jyoti Nangalia, Michael R Stratton

Faculty, Staff and Student Publications

Several chemotherapeutic agents act by increasing DNA damage in cancer cells, triggering cell death. However, there is limited understanding of the extent and long-term consequences of collateral DNA damage in normal tissues. To investigate the impact of chemotherapy on mutation burdens and the cell population structure of normal tissue, we sequenced blood cell genomes from 23 individuals aged 3-80 years who were treated with a range of chemotherapy regimens. Substantial additional somatic mutation loads with characteristic mutational signatures were imposed by some chemotherapeutic agents, but the effects were dependent on the drug and blood cell types. Chemotherapy induced premature changes …

Βiv Spectrin Abundancy, Cellular Distribution And Sensitivity To Akt/Gsk3 Regulation In Schizophrenia, Jessica Di Re, Michela Marini, Syed Ibrar Hussain, Aditya K Singh, Akshaya Venkatesh, Musaad A Alshammari, Tahani K Alshammari, Abdul-Rizaq Ali Hamoud, Ali Sajid Imami, Zahra Haghighijoo, Nickolas Fularcyzk, Laura Stertz, Derek Hawes, Angela Mosebarger, Jordan Jernigan, Claire Chaljub, Ralda Nehme, Consuelo Walss-Bass, Anton Schulmann, Marquis P Vawter, Robert Mccullumsmith, Robert D Damoiseaux, Agenor Limon, Demetrio Labate, Michael F Wells, Fernanda Laezza

Faculty, Staff and Student Publications

Schizophrenia (SCZ) is a complex psychiatric disorder with unclear biological mechanisms. Spectrins, cytoskeletal proteins linked to neurodevelopmental disorders, are regulated by the AKT/GSK3 pathway, which is implicated in SCZ. However, the impact of SCZ-related dysregulation of this pathway on spectrin expression and distribution remains unexplored. Here, we show that βIV spectrin protein levels were reduced in neurons of the dorsolateral prefrontal cortex in SCZ postmortem samples compared to healthy control (HC) from the Human Brain Collection Core (HBCC). To investigate potential links between βIV spectrin and the AKT/GSK3 pathway, we analyzed the PsychEncode dataset, revealing elevated SPTBN4 and AKT2 mRNA …

Targeting Cdk2 And Other Novel Cell Cycle Targets For Breast Cancer Therapy, Mei-Kuang Chen, Linjie Luo, Nicole Massoumi, Khandan Keyomarsi

Faculty, Staff and Student Publications

Introduction: The dysregulation of cyclin-dependent kinases (CDKs) is a key driver of cancer progression, making them attractive therapeutic targets. In CDK4/6 inhibitor (CDK4/6i)-resistant breast cancer, targeting CDK2 offers a promising approach. CDK2 is frequently hyperactivated due to cyclin E1 overexpression or retinoblastoma protein loss, acting as a mechanism that sustains proliferation despite CDK4/6 inhibition. CDK2 inhibitors (CDK2i) show strong anti-tumor activity, particularly in combination with CDK4/6i or immune checkpoint inhibitors.

Areas covered: This review explores the biological roles of CDK2 and its regulatory mechanisms. The review highlights the latest advancements in CDK2i, their mechanisms of action, and their potential in …

Institutional Learning Curve And Factors Of Prolonged Operation Time Of Robotic Distal Pancreatectomy: An Analysis Of An Initial 117 Cases, Yuki Hirata, Laura Prakash, Jess Maxwell, Rebecca Snyder, Michael Kim, Hop Tran Cao, Ching-Wei D Tzeng, Jefferey E Lee, Matthew H G Katz, Naruhiko Ikoma

Faculty, Staff and Student Publications

Background: The granular methods by which centers can safely implement and effectively expand robotic distal pancreatectomy (RDP), including those related to appropriate patient selection during the learning curve period, remain unclear. This study aimed to verify that our strategic robotic surgical oncology program effectively implemented RDP as standard practice and to identify factors associated with prolonged operation time.

Materials and methods: We performed a detailed analysis of the intraoperative and short-term outcomes of consecutive patients (October 2018-September 2023) undergoing RDP at our center, beginning with the first patient in our program. Operation time was analyzed using a cumulative sum chart …

Long-Term Cytoreduction Outcomes With Or Without Heated Intraperitoneal Chemotherapy For Colorectal Peritoneal Metastases, Michael G White, Paula Marincola Smith, Neal Bhutiani, Beth Helmink, Norman Galbraith, Scott Kopetz, Michael Overman, Paul Mansfield, Keith Fournier, Abhineet Uppal

Faculty, Staff and Student Publications

Background: Patients with peritoneal metastases from colorectal adenocarcinoma (CRC) benefit from cytoreductive surgery (CRS). However, the role of heated intraperitoneal chemotherapy (HIPEC) remains unclear. We studied associations between HIPEC, peritoneal disease-free survival (PDFS), and overall survival (OS) in patients with CRC undergoing CRS.

Study design: All patients with CRC undergoing CRS between 2008 and 2023 were retrospectively identified at our center. Patient clinicodemographic factors were determined by chart review. OS and PDFS were evaluated using the Kaplan-Meier method. Associations between clinical factors and survival were determined using Cox proportional hazard models.

Results: A total of 147 patients were identified with …

Author Correction: Autologous T Cell Therapy For Prame+ Advanced Solid Tumors In Hla-A*02+ Patients: A Phase 1 Trial, Martin Wermke, Dejka M Araujo, Manik Chatterjee, Apostolia M Tsimberidou, Tobias A W Holderried, Amir A Jazaeri, Ran Reshef, Carsten Bokemeyer, Winfried Alsdorf, Katrin Wetzko, Peter Brossart, Katrin Aslan, Linus Backert, Sebastian Bunk, Jens Fritsche, Swapna Gulde, Silvana Hengler, Norbert Hilf, Mohammad B Hossain, Jens Hukelmann, Mamta Kalra, Delfi Krishna, M Alper Kursunel, Dominik Maurer, Andrea Mayer-Mokler, Regina Mendrzyk, Ali Mohamed, Karine Pozo, Arun Satelli, Marilena Letizia, Heiko Schuster, Oliver Schoor, Claudia Wagner, Hans-Georg Rammensee, Carsten Reinhardt, Harpreet Singh-Jasuja, Steffen Walter, Toni Weinschenk, Jason J Luke, Cedrik M Britten

Faculty, Staff and Student Publications

No abstract provided.

Pathologist-Read Vs Ai-Driven Assessment Of Tumor-Infiltrating Lymphocytes In Melanoma, Thazin N Aung, Matthew Liu, David Su, Saba Shafi, Ceren Boyaci, Sanna Steen, Nikolaos Tsiknakis, Joan Martinez Vidal, Nigel Maher, Goran Micevic, Samuel X Tan, Matthew D Vesely, Saeed Nourmohammadi, Yalai Bai, Dijana Djureinovic, Pok Fai Wong, Katherine Bates, Nay N N Chan, Niki Gavirelatou, Mengni He, Sneha Burela, Robert Barna, Martina Bosic, Konstantin Bräutigam, Irineu Illabochaca, Zhou Chenhao, Joao Gama, Bianca Kreis, Reka Mohacsi, Nir Pillar, Joao Pinto, Christos Poulios, Maria Angeliki Toli, Evangelos Tzoras, Yadriel Bracero, Francesca Bosisio, Gábor Cserni, Alis Dema, Francesco Fortarezza, Mercedes Solorzano Gonzalez, Irene Gullo, Francisco Javier Queipo Gutiérrez, Ezgi Hacihasanoglu, Viktor Jovic, Bianca Lazar, Maria Olinca, Christina Neppl, Rui Caetano Oliveira, Federica Pezzuto, Daniel Gomes Pinto, Vanda Plotar, Ovidiu Pop, Tilman Rau, Kristijan Skok, Wenwen Sun, Ezgi Dicle Serbes, Wiebke Solass, Olga Stanowska, Marcell Szasz, Krzysztof Szymonski, Franziska Thimm, Danielle Vignati, Alon Vigdorovits, Victor Prieto, Tobias Sinnberg, James Wilmott, Shawn Cowper, Jonathan Warrell, Yvonne Saenger, Johan Hartman, Jasmine Plummer, Iman Osman, David L Rimm, Balazs Acs

Faculty, Staff and Student Publications

Importance: Tumor-infiltrating lymphocytes (TILs) are a provocative biomarker in melanoma, influencing diagnosis, prognosis, and immunotherapy outcomes; however, traditional pathologist-read TIL assessment on hematoxylin and eosin-stained slides is prone to interobserver variability, leading to inconsistent clinical decisions. Therefore, development of newer TIL scoring approaches that produce more reliable and consistent readouts is important.

Objective: To evaluate the analytical and clinical validity of a machine learning algorithm for TIL quantification in melanoma compared with traditional pathologist-read methods.

Design, setting, and participants: This multioperator, global, multi-institutional prognostic study compared TIL scoring reproducibility between traditional pathologist-read methods and an artificial intelligence (AI)-driven approach. The …

Adtnorm: Robust Integration Of Single-Cell Protein Measurement Across Cite-Seq Datasets, Ye Zheng, Daniel P Caron, Ju Yeong Kim, Seong-Hwan Jun, Yuan Tian, Florian Mair, Kenneth D Stuart, Peter A Sims, Raphael Gottardo

Faculty, Staff and Student Publications

Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables paired measurement of surface protein and mRNA expression in single cells using antibodies conjugated to oligonucleotide tags. Due to the high copy number of surface protein molecules, sequencing antibody-derived tags (ADTs) allows for robust protein detection, improving cell-type identification. However, variability in antibody staining leads to batch effects in the ADT expression, obscuring biological variation, reducing interpretability, and obstructing cross-study analyses. Here, we present ADTnorm, a normalization and integration method designed explicitly for ADT abundance. Benchmarking against 14 existing scaling and normalization methods, we show that ADTnorm accurately aligns populations …

Spontaneous Tumor Regression And Immunotherapy Response Demonstrate Clonal T-Cell Expansion In Merkel Cell Carcinoma, Patrick Hallaert, John W Roman, Mairead Baker, Natasha T Hill, Jennifer L Marte, James L Gulley, Nicholas Logemann, Courtney W Hudgens, Alexandre Reuben, Isaac Brownell

Faculty, Staff and Student Publications

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine skin cancer that is responsive to immune checkpoint inhibitors (ICI). On rare occasion, MCC spontaneously regresses. It is speculated that this regression occurs when biopsy-induced antigen shedding precipitates an immune response. Here, we demonstrate the activation of an adaptive immune response in a patient whose tumor underwent spontaneous regression after biopsy. To evaluate the tumor immune microenvironment during regression, we performed quantitative immunohistochemical analysis and T-cell receptor (TCR) sequencing. Relative to baseline, the regressing tumor showed evidence of an activated cytotoxic T-cell response together with increased TCR clonality, greater representation …

Feasibility Of Monte Carlo-Based Patient-Specific Quality Assurance In 15 Tesla Magnetic Resonance-Guided Online Adaptive Radiotherapy: A Multi-Institutional Study, Ruiqi Li, Yao Zhao, Jingying Lin, Tsuicheng Chiu, Weiguo Lu, Jinzhong Yang, Mu-Han Lin

Faculty, Staff and Student Publications

Introduction: To evaluate the feasibility of Monte Carlo (MC)-based patient-specific quality assurance (PSQA) for MR-guided online adaptive radiotherapy and to explore the potential to eliminate the post-delivery measurement-based PSQA.

Material and methods: A total of 113 cases from two institutions, treated on MR-Linac machines, were included in the study. A customized GPU-accelerated, Monte Carlo-based secondary dose verification software (ART2Dose) was developed and integrated into the QA workflow, accounting for a 1.5 Tesla magnetic field. PSQA included ArcCheck (AC) delivery QA and online MC calculation-based QA. Reference plans underwent offline validation with AC and MC, while adapt-to-shape (ATS) plans were processed …

The Landmark Series: Therapeutic Cancer Vaccine Strategies For Cold Tumors, Alex B Blair, Lei Zheng, Kevin C Soares

Faculty, Staff and Student Publications

Immunologically cold tumors present a significant challenge in cancer treatment due to their limited baseline immune infiltration and resistance to immunotherapy. Cancer vaccines offer a promising strategy to overcome this barrier by introducing high-quality, tumor-relevant antigens that can stimulate an effective anti-tumor immune response. Therapeutic cancer vaccines are being explored in the neoadjuvant, adjuvant, and minimal residual disease contexts to enhance immune activation and promote immune cell infiltration and function, with the goal to eradicate malignant cells and improve patient survival. Critical hurdles remain in optimizing antigen selection, determining the most effective vaccine formulations, and defining the ideal clinical setting …

Image-Based Mandibular And Maxillary Parcellation And Annotation Using Computed Tomography (Impact): A Deep Learning-Based Clinical Tool For Orodental Dose Estimation And Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, Lisanne V Van Dijk, Dong Joo Rhee, Congjun Wang, He C Wang, Kareem A Wahid, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa M S Ali, Andrew Hope, Erin Watson, Ruth Wesson-Aponte, Steven J Frank, Carly E A Barbon, Kristy K Brock, Mark S Chambers, Muhammad Walji, Katherine A Hutcheson, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser, Amy C Moreno, Opc-Survivor Program, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Background and purpose: Accurate delineation of orodental structures on radiotherapy computed tomography (CT) images is essential for dosimetric assessment and dental decisions. We propose a deep-learning (DL) auto-segmentation framework for individual teeth and mandible/maxilla sub-volumes aligned with the ClinRad osteoradionecrosis staging system.

Materials and methods: Mandible and maxilla sub-volumes were manually defined on simulation CT images from 60 clinical cases, differentiating alveolar from basal regions; teeth were labelled individually. For each task, a DL segmentation model was independently trained. A Swin UNETR-based model was used for mandible sub-volumes. For smaller structures (e.g., teeth and maxilla sub-volumes) a two-stage model first …