Genetic Phenomena Commons^™

Oculomics: Current Concepts And Evidence, Zhuoting Zhu, Yueye Wang, Ziyi Qi, Wenyi Hu, Xiayin Zhang, Siegfried K Wagner, Yujie Wang, An Ran Ran, Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, Alex Suh, Yih Chung Tham, Carol Y Cheung, Xiaohong Yang, Honghua Yu, Zongyuan Ge, Wei Wang, Bin Sheng, Yun Liu, Andrew G Lee, Alastair K Denniston, Peter Van Wijngaarden, Pearse A Keane, Ching-Yu Cheng, Mingguang He, Tien Yin Wong

Faculty, Staff and Student Publications

The eye provides novel insights into general health, as well as pathogenesis and development of systemic diseases. In the past decade, growing evidence has demonstrated that the eye's structure and function mirror multiple systemic health conditions, especially in cardiovascular diseases, neurodegenerative disorders, and kidney impairments. This has given rise to the field of oculomics-the application of ophthalmic biomarkers to understand mechanisms, detect and predict disease. The development of this field has been accelerated by three major advances: 1) the availability and widespread clinical adoption of high-resolution and non-invasive ophthalmic imaging ("hardware"); 2) the availability of large studies to interrogate associations …

Comic: A Bayesian Dose Optimization Design For Drug Combination In Multiple Indications With Application To Car-T Therapies, Kai Chen, Kentaro Takeda, Ying Yuan

Faculty, Staff and Student Publications

Project Optimus, initiated by the US Food and Drug Administration (FDA), seeks to shift the focus of dose finding and selection from the maximum tolerated dose to the optimal dose that offers the most favorable risk-benefit balance. However, applying this paradigm shift to drug combination trials presents challenges, particularly due to limited sample sizes and a large two-dimensional dose exploration space. These challenges are amplified when trials involve multiple indications. To address this, we developed a two-stage Bayesian dose optimization design, called COMIC (Combination Optimization in Multiple IndiCations), to efficiently identify Optimal Biological Dose Combinations (OBDC) for multiple indications. The …

Safety, Efficacy, And Adjacent-Level Fracture Risk Following Vertebral Augmentation And Radiofrequency Ablation For The Treatment Of Spine Metastases In Patients With Cancer, Jeremiah Stringam, Koustav Pal, Andrew Niekamp, Rahim Jiwani, Iwan Paolucci, Joshua D Kuban, Zeyad Metwalli, Steven Huang, Peiman Habibollahi, Stephen Chen, Steven Yevich, Milan Patel, Sumit K Subudhi, Matthew Campbell, Amol Ghia, Claudio Tatsui, Rahul A Sheth

Faculty, Staff and Student Publications

Purpose: To evaluate the safety and efficacy of vertebral augmentation (VA) and radiofrequency ablation (RFA) for treating pathologic spinal fractures in patients with cancer and adjacent fracture risk following treatment.

Materials and Methods: This single-institution retrospective study, conducted from January 2017 to September 2020, included patients with cancer who underwent percutaneous VA with or without spine RFA for pathologic spine compression fractures. The primary outcome was pain reduction, assessed using the 10-point visual analog scale before the procedure, at first follow-up, and 2–4 weeks after the procedure. Logistic regression was performed to identify factors associated with epidural cement leak.

Results: …

Oral Microbiome Profile Of The Us Population, Anil K Chaturvedi, Emily Vogtmann, Jianxin Shi, Yukiko Yano, Martin J Blaser, Nicholas A Bokulich, J Gregory Caporaso, Maura L Gillison, Barry I Graubard, Xing Hua, Autumn G Hullings, Lisa Kahle, Rob Knight, Shilan Li, Jody Mclean, Vaishnavi Purandare, Yunhu Wan, Neal D Freedman, Christian C Abnet

Faculty, Staff and Student Publications

Importance: The oral microbiome likely plays key roles in human health. Yet, population-representative characterizations are lacking.

Objective: To characterize the composition, diversity, and correlates of the oral microbiome in US adults.

Design, setting, and participants: This cross-sectional study analyzed data from the population-representative National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012. Microbiome data were made publicly available in 2024. NHANES participants were aged 18 to 69 years and provided oral rinse samples in 1 of 2 consecutive NHANES cycles (2009-2010 and 2011-2012).

Exposures: Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics.

Main outcomes and measures: Oral microbiome …

Fecal Immunochemical Test Positivity Thresholds: An International Survey Of Population-Based Screening Programs, Graeme P Young, Sally C Benton, Robert S Bresalier, Han-Mo Chiu, Evelien Dekker, Callum G Fraser, Marieke A M Frasa, Stephen P Halloran, Michael Hoffmeister, Susan Parry, Kevin Selby, Carlo Senore, Harminder Singh, Erin L Symonds

Faculty, Staff and Student Publications

Background: The fecal immunochemical test for hemoglobin (FIT) is now a widely used non-invasive test in population-based organized screening programs for colorectal neoplasia. The positivity thresholds of tests currently in use are based on the fecal hemoglobin concentration (f-Hb), but the rationale for the adopted thresholds are not well documented. To understand current global usage of FIT in screening programs we conducted an international survey of the brands of FIT used, the f-Hb positivity threshold applied and the rationale for the choice.

Methods: All members of the World Endoscopy Organization CRC Screening Committee were invited to complete an eight-element initial …

Chd1 Loss Reprograms Srebp2-Driven Cholesterol Synthesis To Fuel Androgen-Responsive Growth And Castration Resistance In Spop-Mutated Prostate Tumors, Feiyu Chen, Haoyan Li, Yin Wang, Ximing Tang, Kevin Lin, Qidong Li, Chenling Meng, Wei Shi, Javier Leo, Xin Liang, Jie Zhang, Vivien Van, Iqbal Mahmud, Bo Wei, Philip L Lorenzi, Maria G Raso, Ana Aparicio, Yue Lu, Daniel E Frigo, Boyi Gan, Di Zhao

Faculty, Staff and Student Publications

Despite undergoing castration, most individuals with prostate cancer (PCa) experience progression to castration-resistant PCa (CRPC), in which the androgen receptor (AR) remains an important driver. Concurrent genetic alterations in SPOP and CHD1 define a unique subtype of PCa, but their interactions in tumor progression and therapy response remain unclear. Here, we provide genetic evidence supporting that CHD1 loss accelerates disease progression and confers resistance to castration in males with SPOP-mutated PCa. By leveraging genetic engineering and multiomics, we uncovered a noncanonical function of CHD1 in lipid metabolism reprogramming via repressing the SREBP2 transcriptome. Loss of CHD1 induces cholesterol production, supplies …

Defining The Optimal Radiation-Induced Lymphopenia Metric To Discern Its Survival Impact In Esophageal Cancer, Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Remi Nout, Radhe Mohan, Steven H Lin, Peter S N Van Rossum

Faculty, Staff and Student Publications

Purpose: A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival.

Methods and materials: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) …

Unveiling The Intercompartmental Signaling Axis: Mitochondrial To Er Stress Response (Mersr) And Its Impact On Proteostasis, Jeson J Li, Nan Xin, Chunxia Yang, Bo G Kim, Larissa A Tavizon, Ruth Hong, Jina Park, Travis I Moore, Rebecca George Tharyan, Adam Antebi, Hyun-Eui Kim

Faculty, Staff and Student Publications

Maintaining protein homeostasis is essential for cellular health. Our previous research uncovered a cross-compartmental Mitochondrial to Cytosolic Stress Response, activated by the perturbation of mitochondrial proteostasis, which ultimately results in the improvement of proteostasis in the cytosol. Here, we found that this signaling axis also influences the unfolded protein response of the endoplasmic reticulum (UPRER), suggesting the presence of a Mitochondria to ER Stress Response (MERSR). During MERSR, the IRE1 branch of UPRER is inhibited, introducing a previously unknown regulatory component of MCSR. Moreover, proteostasis is enhanced through the upregulation of the PERK-eIF2α signaling pathway, increasing phosphorylation of eIF2α and …

Summary Of Research: Efficacy Of Trastuzumab Deruxtecan In Her2-Expressing Solid Tumors By Enrollment Her2 Ihc Status: Post Hoc Analysis Of Destiny-Pantumor02, Ana Oaknin, Jung-Yun Lee, Vicky Makker, Do-Youn Oh, Susana Banerjee, Antonio González-Martín, Kyung Hae Jung, Iwona Ługowska, Luis Manso, Aránzazu Manzano, Bohuslav Melichar, Salvatore Siena, Daniil Stroyakovskiy, Anitra Fielding, Soham Puvvada, Ann Smith, Funda Meric-Bernstam

Faculty, Staff and Student Publications

of the original article, 'Efficacy of Trastuzumab Deruxtecan in HER2-Expressing Solid Tumors by Enrollment HER2 IHC Status: Post Hoc Analysis of DESTINY-PanTumor02'. Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate, which is a chemotherapy with a linker (deruxtecan) joined to an antibody (trastuzumab). Trastuzumab binds to the human epidermal growth factor receptor 2 (HER2) protein on cancer cells, where it releases the chemotherapy to kill these cells. The DESTINY-PanTumor02 clinical study tested the effectiveness of T-DXd for people with various HER2-expressing cancers and the safety of treatment. Previous results from DESTINY-PanTumor02 showed that T-DXd had antitumor activity, and the greatest effects …

A Biomarker Signature-Guided Clinical Trial Design For Precision Medicine, Yuan Li, Dejian Lai, Ruosha Li, Han Chen, Xuelin Huang, Jing Ning

Faculty, Staff and Student Publications

Targeted cancer therapies aim to effectively treat patients with specific biomarker profiles. Nevertheless, these therapies may not always precisely hit their intended targets, leading to uncertainty about the specific subset of patients who will benefit. To address this uncertainty, the identification of sensitive patient subsets in clinical trials becomes crucial. Our proposed phase IIB/III clinical trial design seeks to pinpoint a biomarker signature with precision, ensuring the accurate identification of patients who will respond to a specific treatment. This approach allows for the selective enrollment of sensitive patients to maximize benefits for trial participants. We incorporate Bayesian methodology to facilitate …

The Multilayered Transcriptional Architecture Of Glioblastoma Ecosystems, Masashi Nomura, Avishay Spitzer, Kevin C Johnson, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhfury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Roel G W Verhaak, Antonio Iavarone, Mario L Suvà, Itay Tirosh

Faculty, Staff and Student Publications

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression …

Deciphering The Longitudinal Trajectories Of Glioblastoma Ecosystems By Integrative Single-Cell Genomics, Avishay Spitzer, Kevin C Johnson, Masashi Nomura, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo-Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Antonio Iavarone, Roel G W Verhaak, Itay Tirosh, Mario L Suvà

Faculty, Staff and Student Publications

The evolution of isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GBM) after standard-of-care therapy remains poorly understood. Here we analyzed matched primary and recurrent GBMs from 59 patients using single-nucleus RNA sequencing and bulk DNA sequencing, assessing the longitudinal evolution of the GBM ecosystem across layers of cellular and molecular heterogeneity. The most consistent change was a lower malignant cell fraction at recurrence and a reciprocal increase in glial and neuronal cell types in the tumor microenvironment (TME). The predominant malignant cell state differed between most matched pairs, but no states were exclusive or highly enriched in either time point, nor was there …

Further Delineation Of The Scaf4-Associated Neurodevelopmental Disorder, Cosima M Schmid, Anne Gregor, Anna Ruiz, Carmen Manso Bazús, Isabella Herman, Farah Ammouri, Urania Kotzaeridou, Vanda Mcniven, Lucie Dupuis, Katharina Steindl, Anaïs Begemann, Anita Rauch, Aude-Annick Suter, Bertrand Isidor, Sandra Mercier, Mathilde Nizon, Benjamin Cogné, Wallid Deb, Thomas Besnard, Tobias B Haack, Ruth J Falb, Amelie J Müller, Tobias Linden, Chad R Haldeman-Englert, Charlotte W Ockeloen, Francesca Mattioli, Alexandre Reymond, Nazia Ibrahim, Shagufta Naz, Elodie Lacaze, Jennifer A Bassetti, Julia Hoefele, Theresa Brunet, Korbinian M Riedhammer, Houda Z Elloumi, Richard Person, Fanggeng Zou, Juliette J Kahle, Kirsten Cremer, Axel Schmidt, Marie-Ange Delrue, Pedro M Almeida, Fabiana Ramos, Siddharth Srivastava, Aisling Quinlan, Stephen Robertson, Eva Manka, Alma Kuechler, Stephanie Spranger, Malgorzata J M Nowaczyk, Reem M Elshafie, Hind Alsharhan, Paul R Hillman, Leslie A Dunnington, Hilde M H Braakman, Shane Mckee, Angelica Moresco, Andrea-Diana Ignat, Ruth Newbury-Ecob, Guillaume Banneau, Olivier Patat, Jeffrey Kuerbitz, Susan Rzucidlo, Susan S Sell, Patricia Gordon, Sarah Schuhmann, André Reis, Yosra Halleb, Radka Stoeva, Boris Keren, Zainab Al Masseri, Zeynep Tümer, Sophia Hammer-Hansen, Sofus Krüger Sølyst, Connolly G Steigerwald, Nicolas J Abreu, Helene Faust, Amica Müller-Nedebock, Frédéric Tran Mau-Them, Heinrich Sticht, Christiane Zweier

Faculty, Staff and Student Publications

While mostly de novo truncating variants in SCAF4 were recently identified in 18 individuals with variable neurodevelopmental phenotypes, knowledge on the molecular and clinical spectrum is still limited. We assembled data on 50 novel individuals with SCAF4 variants ascertained via GeneMatcher and personal communication. With detailed evaluation of clinical data, in silico predictions and structural modeling, we further characterized the molecular and clinical spectrum of the autosomal dominant SCAF4-associated neurodevelopmental disorder. The molecular spectrum comprises 25 truncating, eight splice-site and five missense variants. While all other truncating variants were classified as pathogenic/likely pathogenic, significance of one C-terminal truncating variant, one …

Todo: A Triple-Outcome Double-Criterion Optimal Design For Dose Monitoring-And-Optimization In Multi-Dose Randomized Trials, Jingyi Zhang, Heng Zhou, Nolan A Wages, Zifang Guo, Fang Liu, Thomas Jemielita, Fangrong Yan, Ruitao Lin

Faculty, Staff and Student Publications

Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective. However, there have been limited formal statistical designs for such multidose trials, and dose selection in practice is often ad hoc, relying on descriptive statistics. We propose a Bayesian optimal two-stage design to facilitate rigorous dose monitoring and optimization. Utilizing a flexible Bayesian dynamic linear model for the dose-response relationship, we …

Glutamate Gating Of Ampa-Subtype Iglurs At Physiological Temperatures, Anish Kumar Mondal, Elisa Carrillo, Vasanthi Jayaraman, Edward C Twomey

Faculty, Staff and Student Publications

Ionotropic glutamate receptors (iGluRs) are tetrameric ligand-gated ion channels that mediate most excitatory neurotransmission1. iGluRs are gated by glutamate, where on glutamate binding, they open their ion channels to enable cation influx into postsynaptic neurons, initiating signal transduction1,2. The structural mechanics of how glutamate gating occurs in full-length iGluRs is not well understood. Here, using the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid subtype iGluR (AMPAR), we identify the glutamate-gating mechanism. AMPAR activation by glutamate is augmented at physiological temperatures. By preparing AMPARs for cryogenic-electron microscopy at these temperatures, we captured the glutamate-gating mechanism. Activation by glutamate initiates ion channel opening that involves all ion …

Sustained Improvement In Health-Related Quality Of Life In Transplant-Ineligible Newly Diagnosed Multiple Myeloma Treated With Daratumumab, Lenalidomide, And Dexamethasone: Maia Final Analysis Of Patient-Reported Outcomes, Aurore Perrot, Thierry Facon, Torben Plesner, Saad Z Usmani, Shaji Kumar, Nizar J Bahlis, Cyrille Hulin, Robert Z Orlowski, Hareth Nahi, Peter Mollee, Karthik Ramasamy, Murielle Roussel, Arnaud Jaccard, Michel Delforge, Lionel Karlin, Bertrand Arnulf, Ajai Chari, George Wang, Niodita Gupta-Werner, Shuchita Kaila, Huiling Pei, Kathryn Matt, Katharine S Gries, Robin Carson, Fredrik Borgsten, Katja Weisel

Faculty, Staff and Student Publications

Objectives: This final post hoc analysis evaluated patient-reported outcomes from the Phase 3 MAIA study of daratumumab, lenalidomide, and dexamethasone (D-Rd) versus lenalidomide and dexamethasone (Rd) after median 64.5-month follow-up in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM), including patient subgroups.

Methods: Key scales from the EORTC QLQ-C30 (global health status [GHS], physical functioning, pain, and fatigue) were assessed. Scores were evaluated every 3 months for 1 year, then every 6 months until disease progression.

Results: The intent-to-treat population (n = 737) included 46.3% frail, 35.4% 70 to < 75 years old, and 43.6% ≥ 75 years old. D-Rd-treated patients showed improvements from baseline that were sustained over 5 years in the intent-to-treat population and across subgroups by age, frailty, and bone lesions. Greater proportions of patients treated with D-Rd versus Rd achieved minimally important changes for improvement at cycle 36 (year ~3) in GHS (odds ratio, 1.84 [95% CI, 1.16-2.91]), physical functioning (1.93 [1.18-3.14]), pain (1.41 [0.90-2.22]), and fatigue (2.00 [1.24-3.23]). Greater proportions of patients with bone lesions improved with D-Rd versus Rd on GHS and physical functioning.

Conclusions: In transplant-ineligible patients with NDMM, D-Rd improved health-related quality of …

T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky

Faculty, Staff and Student Publications

Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Methods: The study included 50 patients with rectal cancer who underwent rectal MRI consecutively between July 7, 2020 and January 20, 2021 using a T2W 3D FSE sequence with DLR and conventional reconstruction. Three radiologists reviewed the two sets of images, scoring overall SNR, motion artifacts, and overall image quality on a 3-point scale and indicating clinical preference for DLR or conventional reconstruction based on those three …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Vivek Gowdra Halappa, Aashish Patel, Zarine K Shah, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …

Quantitative Ablation Confirmation Methods In Percutaneous Thermal Ablation Of Malignant Liver Tumors: Technical Insights, Clinical Evidence, And Future Outlook, Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale, Kristy K Brock, Marco Calandri, Bruno C Odisio

Faculty, Staff and Student Publications

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods …

Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

Pelvic exenteration (PE) is a radical surgical approach designed for the curative treatment of advanced pelvic malignancies, requiring en-bloc resection of multiple pelvic organs. While the procedure is radical, it has shown promise in enhancing long-term survival and is now comparable in surgical mortality to elective resections for primary pelvic cancers. Imaging plays a crucial role in preoperative planning, with MRI, CT, and PET/CT being pivotal in assessing the extent of cancer and formulating a surgical roadmap. This paper presents clinical practice guidelines for imaging in the context of PE, developed jointly by ESGAR, SAR, ESUR, and the PelvEx Collaborative. …

Temporal Trends Of Subsequent Central Nervous System Malignancies Among Survivors Of Childhood Cancer, Robert T Galvin, Yan Chen, Yan Yuan, Tabitha Cooney, Rebecca Howell, Susan Smith, Michael A Arnold, Miriam Conces, Wendy Leisenring, Gregory T Armstrong, Joseph P Neglia, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: It is not known whether temporal changes in childhood cancer therapy have reduced risk of subsequent malignant neoplasms of the central nervous system (CNS), a frequently fatal late effect of cancer therapy.

Methods: Five-year survivors of primary childhood cancers diagnosed between 1970 and 1999 in the Childhood Cancer Survivor Study with CNS subsequent malignant neoplasms were identified. Cumulative incidence rates and standardized incidence ratios were compared among survivors diagnosed between 1970-1979 (n = 6223), 1980-1989 (n = 9680), and 1990-1999 (n = 8999). Multivariable models assessed risk factors for CNS subsequent malignant neoplasms.

Results: A total of 157 CNS …

Unveiling The Intercompartmental Signaling Axis: Mitochondrial To Er Stress Response (Mersr) And Its Impact On Proteostasis, Jeson J Li, Nan Xin, Chunxia Yang, Bo G Kim, Larissa A Tavizon, Ruth Hong, Jina Park, Travis I Moore, Rebecca George Tharyan, Adam Antebi, Hyun-Eui Kim

Faculty, Staff and Student Publications

Maintaining protein homeostasis is essential for cellular health. Our previous research uncovered a cross-compartmental Mitochondrial to Cytosolic Stress Response, activated by the perturbation of mitochondrial proteostasis, which ultimately results in the improvement of proteostasis in the cytosol. Here, we found that this signaling axis also influences the unfolded protein response of the endoplasmic reticulum (UPRER), suggesting the presence of a Mitochondria to ER Stress Response (MERSR). During MERSR, the IRE1 branch of UPRER is inhibited, introducing a previously unknown regulatory component of MCSR. Moreover, proteostasis is enhanced through the upregulation of the PERK-eIF2α signaling pathway, increasing phosphorylation of eIF2α and …

Using A Surgical Risk Predictor To Estimate Percutaneous Cryoablation Adverse Event Risk: A Single Center Comparative Analysis, Prisha Patel, Koustav Pal, Hadi Ahmed, Bill Tang, Iwan Paolucci, Mohammad Khavandi, Peiman Habibollahi, Ketan Shah, Steven Y Huang, Bruno C Odisio, Sanjay Gupta, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Alda Tam, Rahul A Sheth

Faculty, Staff and Student Publications

Objective: To evaluate the relevance of established surgical risk calculators for predicting complications in patients undergoing percutaneous lung cryoablation (PLC).

Methods: The institution's database was queried for PLC procedures from March 2015 to May 2024, excluding those patients with concomitant local therapies or five or more lesions treated in a single setting. Demographics, frailty metrics as defined by the surgical literature, and procedural variables were collected. To evaluate the suitability of surgical risk estimate calculators, the requisite demographic data were input into the American College of Surgery surgical risk calculator; estimates for length of stay (LOS), serious complications, 30-day readmission, …

Natural History Models For Lung Cancer: A Scoping Review, Renu Sara Nargund, Sayaka Ishizawa, Maryam Eghbalizarch, Paul Yeh, Seyyed Mostafa Mousavi Janbeh Saray, Sara Nofal, Yimin Geng, Pianpian Cao, Edwin J Ostrin, Rafael Meza, Martin C Tammemägi, Robert J Volk, Maria A Lopez-Olivo, Iakovos Toumazis

Faculty, Staff and Student Publications

Introduction: Natural history models (NHMs) of lung cancer (LC) simulate the disease's natural progression providing a baseline for assessing the impact of interventions. NHMs have been increasingly used to inform public health policies, highlighting their utility. The objective of this scoping review was to summarize existing LC NHMs, identify their limitations, and propose a framework for future NHM development.

Methods: We searched MEDLINE, Embase, Web of Science, and IEEE Xplore from their inception to October 5, 2023, for peer-reviewed, full-length articles with an LC NHM. Model characteristics, their applications, data sources used, and limitations were extracted and narratively synthesized.

Results: …

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …

Establishing A Peritoneal Dialysis Technique Survival Core Outcome Measure: A Standardised Outcomes In Nephrology-Peritoneal Dialysis Consensus Workshop Report, Emma H Elphick, Karine E Manera, Andrea K Viecelli, Jonathan C Craig, Yeoungjee Cho, Angela Ju, Jenny I Shen, Martin Wilkie, Samaya Anumudu, Neil Boudville, Josephine Sf Chow, Simon J Davies, Patricia Gooden, Tess Harris, Arsh K Jain, Adrian Liew, Andrea Matus-Gonzalez, Noa Amir, Annie-Claire Nadeau-Fredette, Thu Nguyen, Angela Yee-Moon Wang, Daniela Ponce, Rob Quinn, Alison Jaure, David W Johnson, Mark Lambie, Peritoneal Dialysis International

Faculty, Staff and Students Publications

Background

Methods

Results

Multi-Epitope Immunocapture Of Huntingtin Reveals Striatum-Selective Molecular Signatures, Joshua L Justice, Todd M Greco, Josiah E Hutton, Tavis J Reed, Megan L Mair, Juan Botas, Ileana M Cristea

Faculty, Staff and Students Publications

Huntington's disease (HD) is a debilitating neurodegenerative disorder affecting an individual's cognitive and motor abilities. HD is caused by a mutation in the huntingtin gene producing a toxic polyglutamine-expanded protein (mHTT) and leading to degeneration in the striatum and cortex. Yet, the molecular signatures that underlie tissue-specific vulnerabilities remain unclear. Here, we investigate this aspect by leveraging multi-epitope protein interaction assays, subcellular fractionation, thermal proteome profiling, and genetic modifier assays. The use of human cell, mouse, and fly models afforded capture of distinct subcellular pools of epitope-enriched and tissue-dependent interactions linked to dysregulated cellular pathways and disease relevance. We established …

Psychiatric Genetics In The Diverse Landscape Of Latin American Populations, Estela M Bruxel, Diego L Rovaris, Sintia I Belangero, Gabriela Chavarría-Soley, Alfredo B Cuellar-Barboza, José J Martínez-Magaña, Sheila T Nagamatsu, Caroline M Nievergelt, Diana L Núñez-Ríos, Vanessa K Ota, Roseann E Peterson, Laura G Sloofman, Amy M Adams, Elinette Albino, Angel T Alvarado, Diego Andrade-Brito, Paola Y Arguello-Pascualli, Cibele E Bandeira, Claiton H D Bau, Cynthia M Bulik, Joseph D Buxbaum, Carolina Cappi, Nadia S Corral-Frias, Alejo Corrales, Fabiana Corsi-Zuelli, James J Crowley, Renata B Cupertino, Bruna S Da Silva, Suzannah S De Almeida, Juan F De La Hoz, Diego A Forero, Gabriel R Fries, Joel Gelernter, Yeimy González-Giraldo, Eugenio H Grevet, Dorothy E Grice, Adriana Hernández-Garayua, John M Hettema, Agustín Ibáñez, Iuliana Ionita-Laza, Maria Claudia Lattig, Yago C Lima, Yi-Sian Lin, Sandra López-León, Camila M Loureiro, Verónica Martínez-Cerdeño, Gabriela A Martínez-Levy, Kyle Melin, Daniel Moreno-De-Luca, Carolina Muniz Carvalho, Ana Maria Olivares, Victor F Oliveira, Rafaella Ormond, Abraham A Palmer, Alana C Panzenhagen, Maria Rita Passos-Bueno, Qian Peng, Eduardo Pérez-Palma, Miguel L Prieto, Panos Roussos, Sandra Sanchez-Roige, Hernando Santamaría-García, Flávio M Shansis, Rachel R Sharp, Eric A Storch, Maria Eduarda A Tavares, Grace E Tietz, Bianca A Torres-Hernández, Luciana Tovo-Rodrigues, Pilar Trelles, Eva M Trujillo-Chivacuan, Maria M Velásquez, Fernando Vera-Urbina, Georgios Voloudakis, Talia Wegman-Ostrosky, Jenny Zhen-Duan, Hang Zhou, Latin American Genomics Consortium, Marcos L Santoro, Humberto Nicolini, Elizabeth G Atkinson, Paola Giusti-Rodríguez, Janitza L Montalvo-Ortiz

Faculty, Staff and Students Publications

Psychiatric disorders are highly heritable and polygenic, influenced by environmental factors and often comorbid. Large-scale genome-wide association studies (GWASs) through consortium efforts have identified genetic risk loci and revealed the underlying biology of psychiatric disorders and traits. However, over 85% of psychiatric GWAS participants are of European ancestry, limiting the applicability of these findings to non-European populations. Latin America and the Caribbean, regions marked by diverse genetic admixture, distinct environments and healthcare disparities, remain critically understudied in psychiatric genomics. This threatens access to precision psychiatry, where diversity is crucial for innovation and equity. This Review evaluates the current state and …

Computational And Functional Prioritization Identifies Genes That Rescue Behavior And Reduce Tau Protein In Fly And Human Cell Models Of Alzheimer Disease, Morgan C Stephens, Jiayang Li, Megan Mair, Justin Moore, Katy Zhu, Akash Tarkunde, Bismark Amoh, Alma M Perez, Arya Bhakare, Fangfei Guo, Joshua M Shulman, Ismael Al-Ramahi, Juan Botas

Faculty, Staff and Students Publications

Genome-wide association studies (GWASs) in Alzheimer disease (AD) have uncovered over 70 loci significantly associated with AD risk, but identifying the true causal gene(s) at these loci requires systematic functional validation that is rarely performed due to limitations of time and cost. Here, we integrate transcriptome-wide association study (TWAS) with colocalization analysis, fine-mapping, and additional annotation of AD GWAS variants to identify 123 genes at known and suggestive AD risk loci. A comparison with human AD brain transcriptome data confirmed that many of these candidate genes are dysregulated in human AD and correlate with neuropathology. We then tested all available …

Bi-Allelic Uggt1 Variants Cause A Congenital Disorder Of Glycosylation, Zain Dardas, Laura Harrold, Daniel G Calame, Claire G Salter, Takashi Kikuma, Kevin P Guay, Bobby G Ng, Kanae Sano, Ahmad K Saad, Haowei Du, Riccardo Sangermano, Sohil G Patankar, Shalini N Jhangiani, Semra Gürsoy, Mohamed S Abdel-Hamid, Mahmoud K H Ahmed, Reza Maroofian, Rauan Kaiyrzhanov, Kamran Salayev, Wendy D Jones, Ana Pérez Caballero, Lucy Mcgavin, Michael Spiller, Miranda Durkie, Nick Wood, Lauren O'Grady, Paula Goldenberg, Ann M Neumeyer, Amber Begtrup, Sherif F Abdel-Ghafar, Maha S Zaki, Hilde Van Esch, Jennifer E Posey, Olivia K Wenger, Ethan M Scott, Kinga M Bujakowska, Richard A Gibbs, Davut Pehlivan, Dana Marafi, Joseph S Leslie, Nishanka Ubeyratna, Jacob Day, Martina Owens, Jessica Settle, Soher Balkhy, Abdullah Tamim, Lama Alabdi, Fowzan S Alkuraya, Yoichi Takeda, Hudson H Freeze, Daniel N Hebert, James R Lupski, Andrew H Crosby, Emma L Baple

Faculty, Staff and Students Publications

Congenital disorders of glycosylation (CDGs) comprise a large heterogeneous group of metabolic conditions caused by defects in glycoprotein and glycolipid glycan assembly and remodeling, a fundamental molecular process with wide-ranging biological roles. Herein, we describe bi-allelic UGGT1 variants in fifteen individuals from ten unrelated families of various ethnic backgrounds as a cause of a distinctive CDG of variable severity. The cardinal clinical features of UGGT1-CDG involve developmental delay, intellectual disability, seizures, characteristic facial features, and microcephaly in the majority (9/11 affected individuals for whom measurements were available). The more severely affected individuals display congenital heart malformations, variable skeletal abnormalities including …