Genetic Phenomena Commons^™

Generative Pre-Trained Transformers (Gpt) And Space Health: A Potential Frontier In Astronaut Health During Exploration Missions, Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Nasif Zaman, Sharif Amit Kamran, Prithul Sarker, Andrew G Lee, Alireza Tavakkoli

Faculty, Staff and Student Publications

In anticipation of space exploration where astronauts are traveling away from Earth, and for longer durations with an increasing communication lag, artificial intelligence (AI) frameworks such as large language learning models (LLMs) that can be trained on Earth can provide real-time answers. This emerging technology may be helpful for acute medical emergencies, particularly in austere and distant space environments. In this manuscript, we provide an overview of generative pre-trained transformer (GPT) technology, a rapidly emerging AI technology, and implications, considerations, and limitations of such technology for space health.

Predictive Model Of Liver Toxicity To Aid The Personalized Selection Of Proton Versus Photon Therapy In Hepatocellular Carcinoma, Ibrahim Chamseddine, Yejin Kim, Brian De, Issam El Naqa, Dan G Duda, John A Wolfgang, Jennifer Pursley, Jennifer Y Wo, Theodore S Hong, Harald Paganetti, Eugene J Koay, Clemens Grassberger

Faculty, Staff and Student Publications

Purpose: Our objective was to develop an externally validated model for predicting liver toxicity after radiation therapy in patients with hepatocellular carcinoma (HCC) that can integrate both photon and proton dose distributions with patient-specific characteristics.

Methods and materials: Training data consisted of all patients with HCC treated between 2008 and 2019 at our institution (n = 117, 60%/40% photon/proton). We developed a shallow convolutional neural network (CNN) to predict posttreatment liver dysfunction from the differential dose-volume histogram (DVH) and baseline liver metrics. To reduce bias and improve robustness, we used ensemble learning (CNNE). After a preregistered study analysis plan, we …

Ultrasensitive Ngs Mrd Assessment In Ph+ All: Prognostic Impact And Correlation With Rt-Pcr For Bcr::Abl1, Nicholas J Short, Elias Jabbour, Walid Macaron, Farhad Ravandi, Nitin Jain, Rashmi Kanagal-Shamanna, Keyur P Patel, Sanam Loghavi, Fadi G Haddad, Musa Yilmaz, Ghayas C Issa, Partow Kebriaei, Steven M Kornblau, Sarah Pelletier, Wilmer Flores, Jairo Matthews, Rebecca Garris, Hagop Kantarjian

Faculty, Staff and Student Publications

Reverse transcription polymerase chain reaction (RT-PCR) for BCR::ABL1 is the most common and widely accepted method of measurable residual disease (MRD) assessment in Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL); however, RT-PCR may not be an optimal measure of MRD in many cases of Ph+ ALL. We evaluated the clinical impact of a highly sensitive next-generation sequencing (NGS) MRD assay (sensitivity of 10-6 ) and its correlation with RT-PCR for BCR::ABL1 in patients with Ph+ ALL. Overall, 32% of patients had a discordance between MRD assessment by RT-PCR and NGS, and 31% of patients who achieved NGS MRD negativity were …

Ddx41 Mutations In Patients With Non-Myeloid Hematologic Neoplasms, Fatima Zahra Jelloul, Mark J Routbort, Courtney D Dinardo, Carlos E Bueso-Ramos, Rashmi Kanagal-Shamanna, Beenu Thakral, Zhuang Zuo, C Cameron Yin, Sanam Loghavi, Chi Young Ok, Sa A Wang, Zhenya Tang, M James You, Keyur P Patel, L Jeffrey Medeiros, Andrés E Quesada

Faculty, Staff and Student Publications

No abstract provided.

Artificial Mirnas Derived From Mir-181 Family Members Have Potential In Cancer Therapy Due To An Altered Spectrum Of Target Mrnas, Sergiu Chira, Cristina Ciocan, Cecilia Bica, George A Calin, Ioana Berindan-Neagoe

Faculty, Staff and Student Publications

miRNAs are a class of noncoding RNAs with gene regulation properties, and they function as key factors in cell homeostasis. The interaction of miRNAs with their target mRNAs is largely considered to rely on sequence complementarity; however, some evidence indicates that mature miRNAs can adopt diverse conformations with implications for their function. Using the oncogenic miR-181 family as a study model, we suggest that a potential relationship between the primary sequence and secondary structure of miRNAs may have an impact on the number and spectrum of targeted cellular transcripts. We further emphasize that specific alterations in miR-181 primary sequences might …

Rewiring Cancer Drivers To Activate Apoptosis, Sai Gourisankar, Andrey Krokhotin, Wenzhi Ji, Xiaofan Liu, Chiung-Ying Chang, Samuel H Kim, Zhengnian Li, Wendy Wenderski, Juste M Simanauskaite, Haopeng Yang, Hannes Vogel, Tinghu Zhang, Michael R Green, Nathanael S Gray, Gerald R Crabtree

Faculty, Staff and Student Publications

Genes that drive the proliferation, survival, invasion and metastasis of malignant cells have been identified for many human cancers1-4. Independent studies have identified cell death pathways that eliminate cells for the good of the organism5,6. The coexistence of cell death pathways with driver mutations suggests that the cancer driver could be rewired to activate cell death using chemical inducers of proximity (CIPs). Here we describe a new class of molecules called transcriptional/epigenetic CIPs (TCIPs) that recruit the endogenous cancer driver, or a downstream transcription factor, to the promoters of cell death genes, thereby activating their expression. We focused on diffuse …

Durable Control Of Metastases In An Hla-A2+ Patient With Refractory Melanoma After Low-Dose Radiotherapy In Combination With Mage-A4 T Cell Therapy: A Case Report, Kewen He, David S Hong, Danxia Ke, Partow Kebriaei, Tianjiao Wang, Hassan Danesi, Genevieve Bertolet, Carola Leuschner, Nahum Puebla-Osorio, Tiffany A Voss, Quan Lin, Elliot Norry, Paula M Fracasso, James W Welsh

Faculty, Staff and Student Publications

There is no currently approved adoptive cellular therapy for solid tumors. Pre-clinical and clinical studies have demonstrated that low-dose radiotherapy (LDRT) can enhance intratumoral T cell infiltration and efficacy. This case report describes a 71-year-old female patient with rectal mucosal melanoma that had developed metastases to liver, lung, mediastinum, axillary nodes, and brain. After systemic therapies had failed, she enrolled in the radiation sub-study of our phase-I clinical trial exploring the safety and efficacy of afamitresgene autoleucel (afami-cel), genetically engineered T cells with a T cell receptor (TCR) targeting the MAGE-A4 tumor antigen in patients with advanced malignancies (NCT03132922). Prior …

Multidisciplinary Care Of A Large Brain Metastasis In A Patient With Hormone-Receptor-Positive Breast Cancer With Ataxia-Telangiectasia Mutation, Anca Chelariu-Raicu, Sarina A Piha-Paul, Mariana Chavez-Macgregor, Jason Johnson, Raymond Sawaya, Mary Frances Mcaleer, Alissa Nguyen, Audrey Hartnett, Apostolia M Tsimberidou, Funda Meric-Bernstam, Ecaterina E Dumbrava

Faculty, Staff and Student Publications

Poly (adenosine diphosphate-ribose) polymerase inhibitors (PARP)i are emerging as standard oncology treatments in various tumor types. The indications will expand as PARPi are being investigated in various breast cancer subtypes. Currently, except for BRCA1/2 mutation carriers with human epidermal growth factor receptor 2 (HER2)-negative breast cancer, there is inadequate identification of predictive biomarkers of response. We present a 57-year-old woman with metastatic breast cancer, hormone-receptor-positive, HER2 negative with a germline ataxia-telangiectasia mutation with a large brain metastasis with clinical benefit to talazoparib. This case report exemplifies the importance of the multidisciplinary management of patients with brain metastases and personalized biomarker …

Statin Use And Chemoradiation In Esophageal Squamous Cell Carcinomas: Ready For Prime Time?, Steven H Lin

Faculty, Staff and Student Publications

No abstract provided.

Single-Cell Transcriptomic Analysis Uncovers Intratumoral Heterogeneity And Drug-Tolerant Persister In Alk-Rearranged Lung Adenocarcinoma, Hoi-Hin Kwok, Huiyu Li, Jiashuang Yang, Junyang Deng, Nerissa Chui-Mei Lee, Timmy Wing-Kuk Au, Alva Ko-Yung Sit, Michael Kuan-Yew Hsin, Stephanie Kwai-Yee Ma, Lydia Wai-Ting Cheung, Luc Girard, Junya Fujimoto, Ignacio Ivan Wistuba, Boning Gao, John Dorrance Minna, David Chi-Leung Lam

Faculty, Staff and Student Publications

No abstract provided.

Zeb1 Is Regulated By K811 Acetylation To Promote Stability, Nurd Complex Interactions, Emt, And Nsclc Metastasis, Mabel Perez-Oquendo, Roxsan Manshouri, Yanhua Tian, Jared J Fradette, B Leticia Rodriguez, Samrat T Kundu, Don L Gibbons

Faculty, Staff and Student Publications

Epithelial-to-mesenchymal transition results in loss of specialized epithelial cell contacts and acquisition of mesenchymal invasive capacity. The transcription repressor zinc finger E-box-binding homeobox 1 (ZEB1) binds to E-boxes of gene promoter regions to suppress the expression of epithelial genes. ZEB1 has inconsistent molecular weights, which have been attributed to posttranslational modifications (PTM). We performed mass spectrometry and identified K811 acetylation as a novel PTM in ZEB1. To define the role of ZEB1 acetylation in regulating function, we generated ZEB1 acetyl-mimetic (K811Q) and acetyl-deficient (K811R) mutant-expressing non-small cell lung cancer cell lines (NSCLC). We demonstrate that the K811R ZEB1 (125 kDa) …

Effective Methods For Bulk Rna-Seq Deconvolution Using Scnrna-Seq Transcriptomes, Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica Epps, Xiaochen Long, Tsz-Kwong Man, Hua-Sheng Chiu, Elad Chomsky, Evgeny Kiner, Michael J Krueger, Diego Di Bernardo, Luis Voloch, Jan Molenaar, Sander R Van Hooff, Frank Westermann, Selina Jansky, Michele L Redell, Pieter Mestdagh, Pavel Sumazin

Faculty, Staff and Students Publications

Background: RNA profiling technologies at single-cell resolutions, including single-cell and single-nuclei RNA sequencing (scRNA-seq and snRNA-seq, scnRNA-seq for short), can help characterize the composition of tissues and reveal cells that influence key functions in both healthy and disease tissues. However, the use of these technologies is operationally challenging because of high costs and stringent sample-collection requirements. Computational deconvolution methods that infer the composition of bulk-profiled samples using scnRNA-seq-characterized cell types can broaden scnRNA-seq applications, but their effectiveness remains controversial.

Results: We produced the first systematic evaluation of deconvolution methods on datasets with either known or scnRNA-seq-estimated compositions. Our analyses revealed …

Publisher Correction: A Weakly Structured Stem For Human Origins In Africa, Aaron P Ragsdale, Timothy D Weaver, Elizabeth G Atkinson, Eileen G Hoal, Marlo Möller, Brenna M Henn, Simon Gravel

Faculty, Staff and Students Publications

No abstract provided.

Cerebellar Dysfunction As A Source Of Dystonic Phenotypes In Mice, Amanda M Brown, Meike E Van Der Heijden, H A Jinnah, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

There is now a substantial amount of compelling evidence demonstrating that the cerebellum may be a central locus in dystonia pathogenesis. Studies using spontaneous genetic mutations in rats and mice, engineered genetic alleles in mice, shRNA knockdown in mice, and conditional genetic silencing of fast neurotransmission in mice have all uncovered a common set of behavioral and electrophysiological defects that point to cerebellar cortical and cerebellar nuclei dysfunction as a source of dystonic phenotypes. Here, we revisit the Ptf1aCre/+;Vglut2flox/flox mutant mouse to define fundamental phenotypes and measures that are valuable for testing the cellular, circuit, and …

Artificial Intelligence Frameworks To Detect And Investigate The Pathophysiology Of Spaceflight Associated Neuro-Ocular Syndrome (Sans), Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, Sharif Amit Kamran, Kemper Lowry, Prithul Sarker, Nasif Zaman, Phani Paladugu, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

Spaceflight associated neuro-ocular syndrome (SANS) is a unique phenomenon that has been observed in astronauts who have undergone long-duration spaceflight (LDSF). The syndrome is characterized by distinct imaging and clinical findings including optic disc edema, hyperopic refractive shift, posterior globe flattening, and choroidal folds. SANS serves a large barrier to planetary spaceflight such as a mission to Mars and has been noted by the National Aeronautics and Space Administration (NASA) as a high risk based on its likelihood to occur and its severity to human health and mission performance. While it is a large barrier to future spaceflight, the underlying …

Federated Generalized Linear Mixed Models For Collaborative Genome-Wide Association Studies, Wentao Li, Han Chen, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

Federated association testing is a powerful approach to conduct large-scale association studies where sites share intermediate statistics through a central server. There are, however, several standing challenges. Confounding factors like population stratification should be carefully modeled across sites. In addition, it is crucial to consider disease etiology using flexible models to prevent biases. Privacy protections for participants pose another significant challenge. Here, we propose distributed Mixed Effects Genome-wide Association study (dMEGA), a method that enables federated generalized linear mixed model-based association testing across multiple sites without explicitly sharing genotype and phenotype data. dMEGA employs a reference projection to …

A Phase Ii Clinical Trial Of Pembrolizumab Efficacy And Safety In Advanced Renal Medullary Carcinoma, Chijioke Nze, Pavlos Msaouel, Mohamed H Derbala, Bettzy Stephen, Abdulrahman Abonofal, Funda Meric-Bernstam, Nizar M Tannir, Aung Naing

Faculty, Staff and Student Publications

Background: Renal medullary carcinoma (RMC) is one of most aggressive renal cell carcinomas and novel therapeutic strategies are therefore needed. Recent comprehensive molecular and immune profiling of RMC tissues revealed a highly inflamed phenotype, suggesting the potential therapeutic role for immune checkpoint therapies. We present the first prospective evaluation of an immune checkpoint inhibitor in a cohort of patients with RMC.

Methods: A cohort of patients with locally advanced or metastatic RMC was treated with pembrolizumab 200 mg intravenously every 21 days in a phase II basket trial (ClinicalTrials.gov: NCT02721732). Responses were assessed by irRECIST. Tumor tissues were evaluated …

Islet: Individual-Specific Reference Panel Recovery Improves Cell-Type-Specific Inference, Hao Feng, Guanqun Meng, Tong Lin, Hemang Parikh, Yue Pan, Ziyi Li, Jeffrey Krischer, Qian Li

Faculty, Staff and Student Publications

We propose a statistical framework ISLET to infer individual-specific and cell-type-specific transcriptome reference panels. ISLET models the repeatedly measured bulk gene expression data, to optimize the usage of shared information within each subject. ISLET is the first available method to achieve individual-specific reference estimation in repeated samples. Using simulation studies, we show outstanding performance of ISLET in the reference estimation and downstream cell-type-specific differentially expressed genes testing. We apply ISLET to longitudinal transcriptomes profiled from blood samples in a large observational study of young children and confirm the cell-type-specific gene signatures for pancreatic islet autoantibody. ISLET is available at https://bioconductor.org/packages/ISLET …

Dual Targeting Of Cdk4/6 And Bcl-2 Exhibits A Potent Antitumor Effect On Mantle Cell Lymphoma, Yuxuan Che, Yang Liu, Yijing Li, Joseph M Mcintosh, Alexa Jordan, Fangfang Yan, Wei Wang, Lei Nie, Heng-Huan Lee, Jingling Jin, Yixin Yao, Zhongming Zhao, Vivian Changying Jiang, Michael Wang

Faculty, Staff and Student Publications

No abstract provided.

Asian Americans In Stem Are Not A Monolith, Zer Vue, Chia Vang, Neng Vue, Vijayvardhan Kamalumpundi, Taylor Barongan, Bryanna Shao, Sunny Huang, Larry Vang, Mein Vue, Nancy Vang, Jianqiang Shao, Coohleenann Coombes, Prasanna Katti, Kaihua Liu, Kailee Yoshimura, Michelle Biete, Dao-Fu Dai, Mark A Phillips, Richard R Behringer

Faculty, Staff and Student Publications

Despite tremendous diversity, Asian Americans in STEM are grouped and viewed as a homogeneous monolith, facing stereotypes and disparities. We propose solutions that include disaggregating the Asian American grouping and recognizing the diverse individual ethnic subgroups that comprise Americans of Asian ancestry to implement change within the STEM field.