Genetic Phenomena Commons^™

Tumor-Associated Tractography Derived From High-Angular-Resolution Q-Space Mri May Predict Patterns Of Cellular Invasion In Glioblastoma, Owen P Leary, John P Zepecki, Mattia Pizzagalli, Steven A Toms, David D Liu, Yusuke Suita, Yao Ding, Jihong Wang, Renjie He, Caroline Chung, Clifton D Fuller, Jerrold L Boxerman, Nikos Tapinos, Richard J Gilbert

Faculty, Staff and Student Publications

BACKGROUND: The invasion of glioblastoma cells beyond the visible tumor margin depicted by conventional neuroimaging is believed to mediate recurrence and predict poor survival. Radiomic biomarkers that are associated with the direction and extent of tumor infiltration are, however, non-existent.

METHODS: Patients from a single center with newly diagnosed glioblastoma (

RESULTS: In the principal enrollment cohort of patients with glioblastoma, all cases displayed tractography patterns with tumor-intersecting tract bundles extending into brain parenchyma, a phenotype which was reproduced in PDX mice as well as in a larger comparison cohort of glioblastoma patients (

CONCLUSIONS: QSI discriminates tumor-specific patterns of …

Volumetric Ct Assessment Of In Situ Induced Hepatic Lesions In A Transgenic Swine Model, Derek Smetanick, Danielle Stolley, David Fuentes, Natalie W Fowlkes, Faith Shakoor, Maria Sophia Stenkamp, Samantha Hicks, Steve Parrish, Erik Cressman

Faculty, Staff and Student Publications

The growth rate of in situ-induced hepatic lesions in an Oncopig large animal model is quantitatively assessed. Oncopigs (n = 9) received baseline triple-phase CT scans prior to lesion induction. Lesions were subsequently induced by delivering the Ad-Cre vector to four locations in the liver. Triple-phase CT scans were obtained weekly to track the growth of the lesions. Animals were sacrificed at 14, 21, or 28 days (n = 3 in each group). The overall success rate of lesion generation was ~78%. Histopathology sections consistently revealed lesions that were highly inflammatory and consisted of a large leukocyte population without clear …

Type I Met Inhibitors Cooperate With Pd-1 Blockade To Promote Rejection Of Hepatocellular Carcinoma, Ricardo Deazevedo, Madeline Steiner, Broderick X Turner, Arthur Liu, Sherwin Newton, Joanna Schmidt, Rachel Fleming, Angelica Tolentino, Ahmed O Kaseb, Michael A Curran

Faculty, Staff and Student Publications

Blockade of the immune checkpoints programmed death-1 (PD-1) and cytotoxic lymphocyte antigen 4 has improved outcomes for patients with hepatocellular carcinoma (HCC), yet most still fail to achieve objective clinical benefit. MET plays key roles in both HCC tumorigenesis and immunosuppressive conditioning; however, inhibition of MET causes upregulation of PD-ligand 1 (PD-L1) suggesting the use of these inhibitors in the context of PD-1 blockade. We sought to investigate across the Hepa1-6, HCA-1 and diethylnitrosamine (DEN) models of HCC whether the combination of more specific type I versus more pleiotropic type II MET inhibitors would confer superior outcomes in combination with …

Targeting A Chemo-Induced Adaptive Signaling Circuit Confers Therapeutic Vulnerabilities In Pancreatic Cancer, Yohei Saito, Yi Xiao, Jun Yao, Yunhai Li, Wendao Liu, Arseniy E Yuzhalin, Yueh-Ming Shyu, Hongzhong Li, Xiangliang Yuan, Ping Li, Qingling Zhang, Ziyi Li, Yongkun Wei, Xuedong Yin, Jun Zhao, Seyed M Kariminia, Yao-Chung Wu, Jinyang Wang, Jun Yang, Weiya Xia, Yutong Sun, Eek-Hoon Jho, Paul J Chiao, Rosa F Hwang, Haoqiang Ying, Huamin Wang, Zhongming Zhao, Anirban Maitra, Mien-Chie Hung, Ronald A Depinho, Dihua Yu

Faculty, Staff and Student Publications

Advanced pancreatic ductal adenocarcinomas (PDACs) respond poorly to all therapies, including the first-line treatment, chemotherapy, the latest immunotherapies, and KRAS-targeting therapies. Despite an enormous effort to improve therapeutic efficacy in late-stage PDAC patients, effective treatment modalities remain an unmet medical challenge. To change the status quo, we explored the key signaling networks underlying the universally poor response of PDAC to therapy. Here, we report a previously unknown chemo-induced symbiotic signaling circuit that adaptively confers chemoresistance in patients and mice with advanced PDAC. By integrating single-cell transcriptomic data from PDAC mouse models and clinical pathological information from PDAC patients, we identified …

Developmental-Status-Aware Transcriptional Decomposition Establishes A Cell State Panorama Of Human Cancers, Yikai Luo, Han Liang

Faculty, Staff and Student Publications

Background: Cancer cells evolve under unique functional adaptations that unlock transcriptional programs embedded in adult stem and progenitor-like cells for progression, metastasis, and therapeutic resistance. However, it remains challenging to quantify the stemness-aware cell state of a tumor based on its gene expression profile.

Methods: We develop a developmental-status-aware transcriptional decomposition strategy using single-cell RNA-sequencing-derived tissue-specific fetal and adult cell signatures as anchors. We apply our method to various biological contexts, including developing human organs, adult human tissues, experimentally induced differentiation cultures, and bulk human tumors, to benchmark its performance and to reveal novel biology of entangled developmental signaling in …

Dna-Binding Proteins From Mbd Through Zf To Ben: Recognition Of Cytosine Methylation Status By One Arginine With Two Conformations, Xing Zhang, Robert M Blumenthal, Xiaodong Cheng

Faculty, Staff and Student Publications

Maintenance methylation, of palindromic CpG dinucleotides at DNA replication forks, is crucial for the faithful mitotic inheritance of genomic 5-methylcytosine (5mC) methylation patterns. MBD proteins use two arginine residues to recognize symmetrically-positioned methyl groups in fully-methylated 5mCpG/5mCpG and 5mCpA/TpG dinucleotides. In contrast, C2H2 zinc finger (ZF) proteins recognize CpG and CpA, whether methylated or not, within longer specific sequences in a site- and strand-specific manner. Unmethylated CpG sites, often within CpG island (CGI) promoters, need protection by protein factors to maintain their hypomethylated status. Members of the BEN domain proteins bind CGCG or CACG elements within CGIs to regulate gene …

Ten Challenges And Opportunities In Computational Immuno-Oncology, Riyue Bao, Alan Hutson, Anant Madabhushi, Vanessa D Jonsson, Spencer R Rosario, Jill S Barnholtz-Sloan, Elana J Fertig, Himangi Marathe, Lyndsay Harris, Jennifer Altreuter, Qingrong Chen, James Dignam, Andrew J Gentles, Edgar Gonzalez-Kozlova, Sacha Gnjatic, Erika Kim, Mark Long, Martin Morgan, Eytan Ruppin, David Van Valen, Hong Zhang, Natalie Vokes, Daoud Meerzaman, Song Liu, Eliezer M Van Allen, Yi Xing

Faculty, Staff and Student Publications

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary …

Salvage Reirradiation With Proton Beam Therapy For Locoregionally Recurrent Non-Small Cell Lung Cancer, Matthew S Ning, Abigael Odwuor, Joe Y Chang, Saumil Gandhi, Zhongxing Liao, Steven H Lin, Aileen Chen, James W Welsh, Quynh-Nhu Nguyen, Michael S O'Reilly, Stephen G Chun, Julianna Bronk, David Qian, Percy Lee

Faculty, Staff and Student Publications

Background/objectives: This retrospective study evaluates outcomes of 66 patients who underwent reirradiation (re-RT) with proton beam therapy (PBT) for recurrent non-small cell lung cancer.

Methods: Toxicity was scored via the CTCAE v5.0, and outcomes estimated using the Kaplan-Meier method, with associations evaluated via Cox proportional hazards and logistic regression analyses.

Results: Patients were treated to a median re-RT prescription of 66 Gy/33 fxs (BED10 = 79 Gy; IQR: 71-84 Gy) at an interval of 1.4 years from prior RT. Half (50%) received concurrent chemotherapy. At 14 months follow-up, the median OS and PFS were 5 months (95%CI: 13-17) and 12.5 …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Childhood Neglect Is Associated With Alterations In Neural Prediction Error Signaling And The Response To Novelty, Joseph Aloi, Kathleen I Crum, Karina S Blair, Ru Zhang, Johannah Bashford-Largo, Sahil Bajaj, Soonjo Hwang, Bruno B Averbeck, Nim Tottenham, Matthew Dobbertin, R James R Blair

Faculty, Staff and Student Publications

Background: One in eight children experience early life stress (ELS), which increases risk for psychopathology. ELS, particularly neglect, has been associated with reduced responsivity to reward. However, little work has investigated the computational specifics of this disrupted reward response - particularly with respect to the neural response to Reward Prediction Errors (RPE) - a critical signal for successful instrumental learning - and the extent to which they are augmented to novel stimuli. The goal of the current study was to investigate the associations of abuse and neglect, and neural representation of RPE to novel and non-novel stimuli.

Methods: One hundred …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Interpreting The Biological Effects Of Protons As A Function Of Physical Quantity: Linear Energy Transfer Or Microdosimetric Lineal Energy Spectrum?, Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R Grosshans, Radhe Mohan

Faculty, Staff and Student Publications

The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energy deposited by ionizing radiation initiates all the consequences of exposure in a biological sample (e.g., DNA damage, reproductive cell death). Physical quantities defined to characterize energy deposition have included dose, a measure of the mean energy imparted per unit mass of the target, and linear energy transfer (LET), a measure of the mean energy deposition per unit distance that charged particles traverse in a medium. The …

Pclaf-Dream Drives Alveolar Cell Plasticity For Lung Regeneration, Bongjun Kim, Yuanjian Huang, Kyung-Pil Ko, Shengzhe Zhang, Gengyi Zou, Jie Zhang, Moon Jong Kim, Danielle Little, Lisandra Vila Ellis, Margherita Paschini, Sohee Jun, Kwon-Sik Park, Jichao Chen, Carla Kim, Jae-Il Park

Faculty, Staff and Student Publications

Cell plasticity, changes in cell fate, is crucial for tissue regeneration. In the lung, failure of regeneration leads to diseases, including fibrosis. However, the mechanisms governing alveolar cell plasticity during lung repair remain elusive. We previously showed that PCLAF remodels the DREAM complex, shifting the balance from cell quiescence towards cell proliferation. Here, we find that PCLAF expression is specific to proliferating lung progenitor cells, along with the DREAM target genes transactivated by lung injury. Genetic ablation of Pclaf impairs AT1 cell repopulation from AT2 cells, leading to lung fibrosis. Mechanistically, the PCLAF-DREAM complex transactivates CLIC4, triggering TGF-β signaling activation, …

Neurodevelopmental Disorder Caused By Deletion Of Chaserr, A Lncrna Gene, Vijay S Ganesh, Kevin Riquin, Nicolas Chatron, Esther Yoon, Kay-Marie Lamar, Miriam C Aziz, Pauline Monin, Melanie C O'Leary, Julia K Goodrich, Kiran V Garimella, Eleina England, Ben Weisburd, François Aguet, Carlos A Bacino, David R Murdock, Hongzheng Dai, Jill A Rosenfeld, Lisa T Emrick, Shamika Ketkar, Yael Sarusi, Damien Sanlaville, Saima Kayani, Brian Broadbent, Alisée Pengam, Bertrand Isidor, Stéphane Bezieau, Benjamin Cogné, Daniel G Macarthur, Igor Ulitsky, Gemma L Carvill, Anne O'Donnell-Luria

Faculty, Staff and Students Publications

No abstract provided.

Therapeutic Approaches To Modulate The Immune Microenvironment In Gliomas, Andreas Sarantopoulos, Chibawanye Ene, Elisa Aquilanti

Faculty, Staff and Student Publications

Immunomodulatory therapies, including immune checkpoint inhibitors, have drastically changed outcomes for certain cancer types over the last decade. Gliomas are among the cancers that have seem limited benefit from these agents, with most trials yielding negative results. The unique composition of the glioma immune microenvironment is among the culprits for this lack of efficacy. In recent years, several efforts have been made to improve understanding of the glioma immune microenvironment, aiming to pave the way for novel therapeutic interventions. In this review, we discuss some of the main components of the glioma immune microenvironment, including macrophages, myeloid-derived suppressor cells, neutrophils …

Unmasking Neuroendocrine Prostate Cancer With A Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression, Agustina Sabater, Pablo Sanchis, Rocio Seniuk, Gaston Pascual, Nicolas Anselmino, Daniel F Alonso, Federico Cayol, Elba Vazquez, Marcelo Marti, Javier Cotignola, Ayelen Toro, Estefania Labanca, Juan Bizzotto, Geraldine Gueron

Faculty, Staff and Student Publications

Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting seven-gene signature (KMT5C, DPP4, TYMS, CDC25B, IRF5, MEN1, and DNMT3B) was validated across independent cohorts and patient-derived xenograft (PDX) models. This signature demonstrated strong prognostic value for progression-free, disease-free, relapse-free, metastasis-free, and overall survival. Importantly, the signature not only identified specific NEPC subtypes, …

Nutritional Intervention As Adjuvant Therapy For T-Cell Acute Lymphoblastic Leukemia, Miriam B Garcia, Palaniraja Thandapani

Faculty, Staff and Student Publications

No abstract provided.

Impact Of Pik3ca Gain And Pten Loss On Mantle Cell Lymphoma Biology And Sensitivity To Targeted Therapies, Nardjas Bettazova, Jana Senavova, Kristyna Kupcova, Dana Sovilj, Anezka Rajmonova, Ladislav Andera, Karla Svobodova, Adela Berkova, Zuzana Zemanova, Lenka Daumova, Vaclav Herman, Alexandra Dolníkova, R Eric Davis, Marek Trneny, Pavel Klener, Ondrej Havranek

Faculty, Staff and Student Publications

Besides many other mutations in known cancer driver genes, mantle cell lymphoma (MCL) is characterized by recurrent genetic alterations of important regulators of the phosphoinositol-3-kinase (PI3K) cascade including PIK3CA gains and PTEN losses. To evaluate the biological and functional consequences of these aberrations in MCL, we have introduced transgenic expression of PIK3CA (PIK3CA UP) and performed knockout/knockdown of PTEN gene (PTEN KO/KD) in 5 MCL cell lines. The modified cell lines were tested for associated phenotypes including dependence on upstream B-cell receptor (BCR) signaling (by an additional BCR knockout). PIK3CA overexpression decreased the dependence of the tested MCL on prosurvival …

Optical Genome Mapping For Detection Of Bcr::Abl1-Another Tool In Our Toolbox, Zhenya Tang, Wei Wang, Gokce A Toruner, Shimin Hu, Hong Fang, Jie Xu, M James You, L Jeffrey Medeiros, Joseph D Khoury, Guilin Tang

Faculty, Staff and Student Publications

Background:BCR::ABL1 fusion is mostly derived from a reciprocal translocation t(9;22)(q34.1;q11.2) and is rarely caused by insertion. Various methods have been used for the detection of t(9;22)/BCR::ABL1, such as G-banded chromosomal analysis, fluorescence in situ hybridization (FISH), quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) and optical genome mapping (OGM). Understanding the strengths and limitations of each method is essential for the selection of appropriate method(s) of disease diagnosis and/or during the follow-up.

Methods: We compared the results of OGM, chromosomal analysis, FISH, and/or RT-PCR in 12 cases with BCR::ABL1.

Results:BCR:ABL1 was detected by FISH and RT-PCR …

Micrornas Are Enriched At Covid-19 Genomic Risk Regions, And Their Blood Levels Correlate With The Covid-19 Prognosis Of Cancer Patients Infected By Sars-Cov-2, Simone Anfossi, Faezeh Darbaniyan, Joseph Quinlan, Steliana Calin, Masayoshi Shimizu, Meng Chen, Paola Rausseo, Michael Winters, Elena Bogatenkova, Kim-Anh Do, Ivan Martinez, Ziyi Li, Loredana Antal, Tudor Rares Olariu, Ignacio Wistuba, George A Calin

Faculty, Staff and Student Publications

Background: Cancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.

Patients and methods: Plasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in …

Comments On The Paper “Data-Driven Gating (Ddg)-Based Motion Match For Improved Ctac Registration Ejnmmi Physics 2024; 11(1):42”, Tinsu Pan

Faculty, Staff and Student Publications

Misregistration between CT and PET in PET/CT is mainly caused by respiratory motion or irregular respiration during the CT scan in PET/CT. Other than repeat CT, repeat PET/CT, or data-driven gated (DDG) CT, there is no practical approach to mitigate the misregistration artifacts and subsequent CT attenuation correction (CTAC) of the PET data. DDG PET derives a respiratory motion model based on the multiple phases of PET images without hardware gating and it allows for a potential correction of the misregistration artifacts based on the respiratory motion model. The purpose of this commentary was to compare the recent two publications …

The Telehealth Shared Decision-Making Coaching And Navigation In Primary Care (Telescope) Intervention: A Study Protocol For Delivering Shared Decision-Making For Lung Cancer Screening By Patient Navigators, Naomi Q P Tan, Lisa M Lowenstein, Elisa E Douglas, Jeanne Silva, Joshua M Bershad, Jinghua An, Sanjay S Shete, Michael B Steinberg, Jeanne M Ferrante, Elizabeth C Clark, Ana Natale-Pereira, Novneet N Sahu, Shirin E Hastings, Richard M Hoffman, Robert J Volk, Anita Y Kinney

Faculty, Staff and Student Publications

BACKGROUND: Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigation intervention for LCS in primary care clinics delivered by patient navigators. The objective of the study is to evaluate the effectiveness of the intervention and its implementation potential, compared with an enhanced usual care (EUC) arm.

METHODS: Patients (n = 420) of primary care clinicians (n …

Assessing Influence Of Mismatch Repair Mutations On Survival In Patients After Resection Of Pancreatic Ductal And Periampullary Adenocarcinoma, Elizabeth Prezioso, Eleanor Mancheski, Kylee Shivok, Zachary Kaplan, Wilbur Bowne, Aditi Jain, Harish Lavu, Charles Yeo, Avinoam Nevler

Kimmel Cancer Center Faculty Papers

Background: Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the United States. Previous studies have indicated that microsatellite instability and deficient mismatch repair (MMR) may be associated with improved survival in patients with pancreatic cancer. Here, we aim to investigate the impact of deficient MMR (dMMR) status on oncologic outcomes in patients after resection of PDAC and periampullary adenocarcinoma. Methods: This is a single-institution, retrospective study based on a prospectively maintained database. Pancreatic ductal adenocarcinoma (N = 342) and periampullary adenocarcinoma patients (N = 76) who underwent pancreatic resection surgery between 2016 and 2021 were …

Influence Of Tp53 Gene Mutations And Their Allelic Status In Myelodysplastic Syndromes With Isolated 5q Deletion, Maria Julia Montoro, Laura Palomo, Claudia Haferlach, Pamela Acha, Onyee Chan, Víctor Navarro, Yasuo Kubota, Felicitas Isabel Schulz, Manja Meggendorfer, Robert Briski, Najla Al Ali, Blanca Xicoy, Félix López-Cadenas, Francesc Bosch, Teresa González, Lea Naomi Eder, Andrés Jerez, Yu-Hung Wang, Alessia Campagna, Valeria Santini, Teresa Bernal Del Castillo, Esperanza Such, Hwei-Fang Tien, Nicolás Diaz Varela, Uwe Platzbecker, Detlef Haase, María Díez-Campelo, Matteo Della Porta, Guillermo Garcia-Manero, Daniel H Wiseman, Ulrich Germing, Jaroslaw P Maciejewski, Rami S Komrokji, Francesc Sole, Torsten Haferlach, David Valcárcel

Faculty, Staff and Student Publications

Mutations in the TP53 gene, particularly multihit alterations, have been associated with unfavorable clinical features and prognosis in patients diagnosed with myelodysplastic syndrome (MDS). Despite this, the role of TP53 gene aberrations in MDS with isolated deletion of chromosome 5 [MDS-del(5q)] remains unclear. This study aimed to assess the impact of TP53 gene mutations and their allelic state in patients with MDS-del(5q). To that end, a comprehensive analysis of TP53 abnormalities, examining both TP53 mutations and allelic imbalances, in 682 patients diagnosed with MDS-del(5q) was conducted. Twenty-four percent of TP53-mutated patients exhibited multihit alterations, whereas the remaining patients displayed monoallelic …

Structural Basis Of The Human Transcriptional Mediator Regulated By Its Dissociable Kinase Module, Ti-Chun Chao, Shin-Fu Chen, Hee Jong Kim, Hui-Chi Tang, Hsiang-Ching Tseng, An Xu, Leon Palao, Subash Khadka, Tao Li, Mo-Fan Huang, Dung-Fang Lee, Kenji Murakami, Thomas G Boyer, Kuang-Lei Tsai

Faculty, Staff and Student Publications

The eukaryotic transcriptional Mediator comprises a large core (cMED) and a dissociable CDK8 kinase module (CKM). cMED recruits RNA polymerase II (RNA Pol II) and promotes pre-initiation complex formation in a manner repressed by the CKM through mechanisms presently unknown. Herein, we report cryoelectron microscopy structures of the complete human Mediator and its CKM. The CKM binds to multiple regions on cMED through both MED12 and MED13, including a large intrinsically disordered region (IDR) in the latter. MED12 and MED13 together anchor the CKM to the cMED hook, positioning CDK8 downstream and proximal to the transcription start site. Notably, the …

Safety Of Kidney Transplantation From Donors With Hiv, Christine M Durand, Allan Massie, Sander Florman, Tao Liang, Meenakshi M Rana, Rachel Friedman-Moraco, Alexander Gilbert, Peter Stock, Sapna A Mehta, Shikha Mehta, Valentina Stosor, Marcus R Pereira, Michele I Morris, Jonathan Hand, Saima Aslam, Maricar Malinis, Ghady Haidar, Catherine B Small, Carlos A Q Santos, Joanna Schaenman, John Baddley, David Wojciechowski, Emily A Blumberg, Karthik Ranganna, Oluwafisayo Adebiyi, Nahel Elias, Jose A Castillo-Lugo, Emmanouil Giorgakis, Senu Apewokin, Diane Brown, Darin Ostrander, Yolanda Eby, Niraj Desai, Fizza Naqvi, Serena Bagnasco, Natasha Watson, Erica Brittain, Jonah Odim, Andrew D Redd, Aaron A R Tobian, Dorry L Segev

Faculty, Staff and Student Publications

Background: Kidney transplantation from donors with human immunodeficiency virus (HIV) to recipients with HIV is an emerging practice. It has been performed since 2016 under the U.S. congressional HIV Organ Policy Equity Act and is currently approved for research only. The Department of Health and Human Services is considering expanding the procedure to clinical practice, but data are limited to small case series that did not include donors without HIV as controls.

Methods: In an observational study conducted at 26 U.S. centers, we compared transplantation of kidneys from deceased donors with HIV and donors without HIV to recipients with HIV. …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Accurate Identification Of Locally Aneuploid Cells By Incorporating Cytogenetic Information In Single Cell Data Analysis, Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A Abbas, Guillermo Garcia-Manero, Wei Sun

Faculty, Staff and Student Publications

Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due to the sparse data and the complex tumor microenvironment, it can be challenging to identify neoplastic cells that play important roles in tumor growth and disease progression. This is especially relevant for blood cancers, where neoplastic cells may be highly similar to normal cells. To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. PartCNV uses an expectation-maximization (EM) algorithm with mixtures of Poisson distributions and …