Medical Genetics Commons^™

Life On The Dry Side: A Roadmap To Understanding Desiccation Tolerance And Accelerating Translational Applications, R A Marks, J T B Ekwealor, M A S Artur, L Bondi, T C Boothby, O M S Carmo, D C Centeno, K K Coe, H J W Dace, S Field, A Hutt, S Porembski, A Thalhammer, L Van Der Pas, A J Wood, P Alpert, D Bartels, S Boeynaems, M N Datar, T Giese, W I Seidou, S M Kirchner, J Köhler, U G V S S Kumara, J Kyung, R Lyall, B D Mishler, J B V T Ndongmo, M S Otegui, V Reddy, J Rexroth, S M Tebele, R Vanburen, J Verdier, U C Vothknecht, M F Wittenberg, E Zokov, M J Oliver, S Y Rhee

Duncan NRI Faculty and Staff Publications

To thrive in extreme conditions, organisms have evolved a diverse arsenal of adaptations that confer resilience. These species, their traits, and the mechanisms underlying them comprise a valuable resource that can be mined for numerous conceptual insights and applied objectives. One of the most dramatic adaptations to water limitation is desiccation tolerance. Understanding the mechanisms underlying desiccation tolerance has important potential implications for medicine, biotechnology, agriculture, and conservation. However, progress has been hindered by a lack of standardization across sub-disciplines, complicating the integration of data and slowing the translation of basic discoveries into practical applications. Here, we synthesize current knowledge …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Karthik Reddy Kami Reddy, Abu Hena Mostafa Kamal, Nagireddy Putluri, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

A Phase Ii Trial Of Sitravatinib + Nivolumab After Progression On Immune Checkpoint Inhibitor In Patients With Metastatic Clear Cell Rcc, Andrew W Hahn, Nabil Adra, Ulka Vaishampayan, Lianchun Xiao, Nazli Dizman, Ying Yuan, Sagar S Mukhida, Matthew T Campbell, Jianjun Gao, Amado J Zurita, Eric Jonasch, Nizar M Tannir, Amishi Y Shah, Pavlos Msaouel

Faculty, Staff and Student Publications

Background: Sitravatinib, an oral multi-kinase inhibitor targeting VEGFR, TAM, and MET, has been shown to resensitize the tumor microenvironment to immune checkpoint inhibitors (ICI) by reducing immune-suppressive myeloid cells in metastatic clear cell RCC (ccRCC). ICI is the standard first-line (1L) treatment of metastatic ccRCC, and there is unmet need for improved treatment outcomes after progression on ICI. We hypothesized that sitravatinib plus nivolumab would revert an immunosuppressive tumor microenvironment (TME) to improve clinical outcomes.

Methods: In this investigator-initiated, phase II, multicenter trial (NCT04904302), patients with progressive metastatic ccRCC after 1-2 lines of treatment were enrolled into 3 …

Analysis Of Chromatin Accessibility Changes In Endothelial Cells Exposed To Plastic Contaminants, Mikhail Y. Salnikov, Carly Boye, David B. Witonsky, Gabrielle Garlicki, Adnan Alazizi, Francesca Luca, Roger Pique-Regi

Medical Student Research Symposium

Degradation products from everyday plastic products are known to bioaccumulate and have also been shown to contaminate drinking water and food sources. BPA and phthalates are endocrine disrupting chemicals and plastic components that have previously been associated with endothelial cell dysfunction, atherosclerotic and other adverse cardiovascular events. However, there is a limited understanding of the mechanisms underlying these associations, such as genome-wide chromatin accessibility changes in endothelial cells exposed to these compounds. The purpose of this study is to explore genome-wide changes in chromatin accessibility associated with plastic exposure, as well as the discovery of transcription factor binding motifs dysregulated …

De Novo Variants In Cdkl1 And Cdkl2 Are Associated With Neurodevelopmental Symptoms, Ali H Bereshneh, Jonathan C Andrews, Daniel F Eberl, Guney Bademci, Nicholas A Borja, Stephanie Bivona, Wendy K Chung, Shinya Yamamoto, Michael F Wangler, Shane Mckee, Mustafa Tekin, Hugo J Bellen, Oguz Kanca

Duncan NRI Faculty and Staff Publications

The CDKL (cyclin-dependent kinase-like) family consists of five members in humans, CDKL1-5, that encode serine-threonine kinases. The only member that has been associated with a Mendelian disorder is CDKL5, and variants in CDKL5 cause developmental and epileptic encephalopathy type 2 (DEE2). Here, we study four de novo variants in CDKL2 identified in five individuals, including three unrelated probands and monozygotic twins. These individuals present with overlapping symptoms, including global developmental delay, intellectual disability, childhood-onset epilepsy, dyspraxia, and speech deficits. We also identified two individuals with de novo missense variants in CDKL1 in the published Deciphering Developmental Disorders (DDD) and GeneDx …

Hif Regulates Multiple Translated Endogenous Retroviruses: Implications For Cancer Immunotherapy, Qinqin Jiang, David A Braun, Karl R Clauser, Vijyendra Ramesh, Nitin H Shirole, Joseph E Duke-Cohan, Nancy Nabilsi, Nicholas J Kramer, Cleo Forman, Isabelle E Lippincott, Susan Klaeger, Kshiti M Phulphagar, Vipheaviny Chea, Nawoo Kim, Allison P Vanasse, Eddy Saad, Teagan Parsons, Melissa Carr-Reynolds, Isabel Carulli, Katarina Pinjusic, Yijia Jiang, Rong Li, Sudeepa Syamala, Suzanna Rachimi, Eva K Verzani, Jonathan D Stevens, William J Lane, Sabrina Y Camp, Kevin Meli, Melissa B Pappalardi, Zachary T Herbert, Xintao Qiu, Paloma Cejas, Henry W Long, Sachet A Shukla, Eliezer M Van Allen, Toni K Choueiri, L Stirling Churchman, Jennifer G Abelin, Cagan Gurer, Gavin Macbeath, Richard W Childs, Steven A Carr, Derin B Keskin, Catherine J Wu, William G Kaelin

Faculty, Staff and Student Publications

Clear cell renal cell carcinoma (ccRCC), despite having a low mutational burden, is considered immunogenic because it occasionally undergoes spontaneous regressions and often responds to immunotherapies. The signature lesion in ccRCC is inactivation of the VHL tumor suppressor gene and consequent upregulation of the HIF transcription factor. An earlier case report described a ccRCC patient who was cured by an allogeneic stem cell transplant and later found to have donor-derived T cells that recognized a ccRCC-specific peptide encoded by a HIF-responsive endogenous retrovirus (ERV), ERVE-4. We report that ERVE-4 is one of many ERVs that are induced by HIF, translated …

Breaking The Synaptic Vesicle Cycle: Mechanistic Insights Into Presynaptic Dysfunctions In Epilepsy, Kevin Jiang, Lu-Tang Yang, Mingshan Xue

Duncan NRI Faculty and Staff Publications

Synaptic dysfunction is a hallmark of many neurological disorders including epilepsy. An increasing number of epilepsy-causing pathogenic variants are being identified in genes encoding presynaptic proteins that affect every step of the synaptic vesicle cycle, from vesicle loading, tethering, docking, priming, calcium sensing, fusing, to recycling. These different molecular dysfunctions result in converging impairment of presynaptic neurotransmitter release, yet lead to diverse epileptic disorders. This review focuses on representative monogenic epileptic disorders caused by pathogenic variants of key presynaptic proteins involved in different stages of the synaptic vesicle cycle: SYN1 (vesicle pool regulation), STXBP1 (vesicle docking, priming, and fusion), and …

Long-Term Patient-Reported Bowel And Urinary Quality Of Life In Patients Treated With Intensity-Modulated Radiotherapy Versus Intensity-Modulated Proton Therapy For Localized Prostate Cancer, Kimberly R Gergelis, Miao Bai, Jiasen Ma, David M Routman, Bradley J Stish, Brian J Davis, Thomas M Pisansky, Thomas J Whitaker, Richard Choo

Faculty, Staff and Student Publications

Purpose: This study aimed to compare long-term patient-reported outcomes in bowel and urinary domains between intensity-modulated radiotherapy (IMRT) and intensity-modulated proton therapy (IMPT) for localized prostate cancer.

Methods and materials: Patients with clinical T1-T2 prostate cancer receiving IMRT or IMPT at a tertiary cancer center from 2015-2018 were analyzed to determine the changes in the prospectively collected bowel function (BF), urinary irritative/obstructive symptoms (UO), and urinary incontinence (UI) domains of EPIC-26. The mean changes in EPIC-26 scores were evaluated from pretreatment to 24 months post-radiotherapy for each modality. A score change >50% of the baseline standard deviation was considered a …

Chronic Viral Mimicry Induction Following P53 Loss Promotes Immune Evasion, Charles A Ishak, Sajid A Marhon, Naïri Tchrakian, Anjelica Hodgson, Helen Loo Yau, Isabela M Gonzaga, Melanie Peralta, Ilinca M Lungu, Stephanie Gomez, Sheng-Ben Liang, Shu Yi Shen, Raymond Chen, Jocelyn Chen, Biji Chatterjee, Kevin N Wanniarachchi, Junwoo Lee, Nicholas Zehrbach, Amir Hosseini, Parinaz Mehdipour, Siyu Sun, Alexander Solovyov, Ilias Ettayebi, Kyle E Francis, Aobo He, Taiyi Wu, Shengrui Feng, Tiago Da Silva Medina, Felipe Campos De Almeida, Jane Bayani, Jason Li, Spencer Macdonald, Yadong Wang, Sarah S Garcia, Elisa Arthofer, Noor Diab, Aneil Srivastava, Paul Tran Austin, Peter J B Sabatini, Benjamin D Greenbaum, Catherine A O'Brien, Trevor G Shepherd, Ming Sound Tsao, Katherine B Chiappinelli, Amit M Oza, Blaise A Clarke, Robert Rottapel, Stephanie Lheureux, Daniel D De Carvalho

Faculty, Staff and Student Publications

Epigenetic therapies facilitate transcription of immunogenic repetitive elements that cull cancer cells through ‘viral mimicry’ responses. Paradoxically, cancer-initiating events also facilitate transcription of repetitive elements. Contributions of repetitive element transcription towards cancer initiation, and the mechanisms by which cancer cells evade lethal viral mimicry responses during tumor initiation remain poorly understood. In this report, we characterize premalignant lesions of the fallopian tube along with syngeneic epithelial ovarian cancer models to explore the earliest events of tumorigenesis following loss of the p53 tumor suppressor protein. We report that p53 loss permits transcription of immunogenic repetitive elements and chronic viral mimicry activation …

Identifiability And Model Selection Frameworks For Models Of High-Grade Glioma Response To Chemoradiation, Khushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Caroline Chung, Thomas E Yankeelov, David A Hormuth Ii

Faculty, Staff and Student Publications

We have developed a family of biology-based mathematical models of high-grade glioma (HGG), capturing the key features of tumour growth and response to chemoradiation. We now seek to quantify the accuracy of parameter estimation and determine, when given a virtual patient cohort, which model was used to generate the tumours. In this way, we systematically test both the parameter and model identifiability. Virtual patients are generated from unique growth parameters whose growth dynamics are determined by the model family. We then assessed the ability to recover model parameters and select the model used to generate the tumour. We then evaluated …

Conformal Predictive Intervals In Survival Analysis: A Resampling Approach, Jing Qin, Jin Piao, Jing Ning, Yu Shen

Faculty, Staff and Student Publications

The distribution-free method of conformal prediction has gained considerable attention in computer science, machine learning, and statistics. Candès et al. extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting, extracting a subcohort of subjects with censoring times exceeding a fixed threshold. Their approach only estimates the lower prediction bound for type I censoring, where all subjects have available censoring times regardless of their failure status. In medical applications, we often encounter more general right-censored data, observing only the minimum of failure time and censoring time. Subjects with observed failure times have unavailable censoring …

Ven In Combination With 10-Day Dec In Newly Diagnosed Elderly Or Relapsed/Refractory Acute Myeloid Leukemia, And High-Risk Myelodysplastic Syndrome: Long Term Follow-Up Of A Phase 2 Trial, Mahesh Swaminathan, Courtney D Dinardo, Abhishek Maiti, Naveen Pemmaraju, Maro Ohanian, Navel G Daver, Guillermo Garcia-Manero, Ghayas C Issa, Gautam Borthakur, Farhad Ravandi, Guillermo Montalban-Bravo, Tapan M Kadia, Yesid Alvarado, Elias J Jabbour, Nicholas J Short, William G Wierda, Nitin Jain, Steven M Kornblau, Lucia Masarova, Sherry A Pierce, Wei Qiao, Jing Ning, Hagop Kantarjian, Marina Y Konopleva

Faculty, Staff and Student Publications

No abstract provided.

Differentiation Stage Predicts Radiosensitivity In Mesenchymal-Like Pancreatic Cancer, Tingshi Su, Xinjian Yu, Mojtaba Hoseini-Ghahfarokhi, David B Flint, Scott J Bright, Joana I D S Antunes, David K J Martinus, Mandira Manandhar, Mariam Ben Kacem, Poliana C Marinello, Eurico J G Pereira, Hua-Sheng Chiu, Uwe Titt, David R Grosshans, Jan Schuemann, Henning Willers, Harald Paganetti, Pavel Sumazin, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Purpose: To derive a genomic classifier to predict radiosensitivity of pancreatic cancer cell lines and patients with pancreatic cancer to allow genomic-guided radiation therapy.

Methods and materials: We collected a comprehensive data set of full clonogenic cell survival curves of 45 pancreatic cancer cell lines irradiated with clinical photon and proton beams. We derived classifiers based on data from human embryonic and fetal pancreas single-cell RNA-sequencing to distinguish between epithelial and mesenchymal cells and to predict pancreas cell-line differentiation stage. Independent testing was done with an embryonic mouse pancreas single-cell RNA-sequencing data set. We then used bulk RNA-seq profiles from …

External Validation Of An Algorithm To Detect Vertebral Level Mislabeling And Autocontouring Errors, Tucker J Netherton, Didier Duprez, Tina Patel, Gizem Cifter, Laurence E Court, Christoph Trauernicht, Ajay Aggarwal

Faculty, Staff and Student Publications

Background and purpose: This work performs external validation of a previously developed vertebral body autocontouring tool and investigates a post-processing method to increase performance to clinically acceptable levels.

Materials and methods: Vertebral bodies within CT scans from two separate institutions (40 from institution A and 41 from institution B) were automatically 1) localized and enumerated, 2) contoured, and 3) screened as a means of quality assurance (QA) for errors. Identification rate, contour acceptability rate, and QA accuracy were calculated to assess the tool's performance. These metrics were compared to those calculated on CTs from the model's original training dataset, and …

Long Term Results Of Venetoclax Combined With Flag-Ida Induction And Consolidation For Newly Diagnosed And Relapsed Or Refractory Acute Myeloid Leukemia, Courtney D Dinardo, Wei-Ying Jen, Koichi Takahashi, Tapan M Kadia, Sanam Loghavi, Naval G Daver, Lianchun Xiao, Patrick K Reville, Ghayas C Issa, Nicholas J Short, Koji Sasaki, Sa A Wang, Jillian K Mullin, Sherry Pierce, Corey Bradley, Gautam Borthakur, Abhishek Maiti, Yesid Alvarado, Naveen Pemmaraju, Alessandra Ferrajoli, Mahesh Swaminathan, Maro Ohanian, Hussein A Abbas, Danielle Hammond, Jan Burger, Fadi Haddad, Guillermo Montalban-Bravo, Kelly Chien, Lucia Masarova, Musa Yilmaz, Nitin Jain, Michael Andreeff, Guillermo Garcia-Manero, Steven Kornblau, Farhad Ravandi, Elias Jabbour, Marina Y Konopleva, Hagop M Kantarjian

Faculty, Staff and Student Publications

Intensive chemotherapy remains the standard for newly diagnosed (ND) acute myeloid leukemia (AML); however, relapse risk remains high. Additionally, most patients with relapsed/refractory (RR) AML have poor outcomes. We report the long-term experience of 138 patients, 77 ND and 61 RR, treated with FLAG-IDA in combination with venetoclax. In the ND cohort, the overall response rate (ORR) was 97%, with a composite complete remission (CRc) rate of 95% and undetectable measurable residual disease (MRD) status by flow cytometry in 90%. The 3-year OS and EFS rates were 66 and 64%, respectively. Outcomes were similar across European LeukemiaNet (ELN) 2022 risk …

Efficacy And Safety Of Denileukin Diftitox-Cxdl, An Improved Purity Formulation Of Denileukin Diftitox, In Patients With Relapsed Or Refractory Cutaneous T-Cell Lymphoma, Francine M Foss, Youn H Kim, H Miles Prince, Oleg E Akilov, Christiane Querfeld, Lucia Seminario-Vidal, David C Fisher, Timothy M Kuzel, Costas K Yannakou, Larisa J Geskin, Tatyana Feldman, Lubomir Sokol, Pamela Blair Allen, Nam Hoang Dang, Fernando Cabanillas, Henry K Wong, Chean Eng Ooi, Dongyuan Xing, Nicholas Sauter, Preeti Singh, Myron Czuczman, Madeleine Duvic

Faculty, Staff and Student Publications

Purpose: Denileukin diftitox (DD)-cxdl is a fusion protein comprising diphtheria toxin fragments A and B and human interleukin-2. This phase III, multicenter, open-label, single-arm registrational trial evaluated the efficacy and safety of DD-cxdl in patients with relapsed/refractory (R/R) cutaneous T-cell lymphoma (CTCL).

Patients and methods: In the main study, which followed a dose-finding lead-in, DD-cxdl was administered intravenously daily (5 days; 9 µg/kg/d once daily) every 21 days for up to eight cycles. Patients in the primary efficacy analysis set (PEAS) were required to have stage IA-IIIB CTCL (mycosis fungoides and/or Sézary syndrome) and at least ≥one previous systemic therapy. …

Evaluation Of A Comprehensive Set Of Normal Tissue Complication Probability Models For Patients With Head And Neck Cancer In An International Cohort, Suzanne P M De Vette, Maria I Van Rijn-Dekker, Lisa Van Den Bosch, Kylie Keijzer, Hendrike Neh, Hung Chu, Yan Li, Mark L Frederiks, Hans Paul Van Der Laan, Jolien Heukelom, Peter Van Luijk, Arjen Van Der Schaaf, Roel J H M Steenbakkers, Nanna M Sijtsema, Katherine A Hutcheson, Clifton D Fuller, Johannes A Langendijk, Amy C Moreno, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Background/purpose: Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity risk (CITOR) profile of NTCP models addressing common side-effects in head and neck cancer (HNC) patients was developed. This study investigates the generalizability of these models in an international setting, with different treatment approaches and side-effect assessments, promoting their integration into more widespread clinical practice.

Materials/methods: From a prospective registry study, 407 HNC patients were included who were treated with definitive RT with or without systemic therapy between 2015 and …

Cytokine Storms In Covid-19, Hemophagocytic Lymphohistiocytosis, And Car-T Therapy, James P Long, Rishab Prakash, Paul Edelkamp, Mark Knafl, Anath C Lionel, Ranjit Nair, Sairah Ahmed, Paolo Strati, Luis E Malpica Castillo, Ajlan Al-Zaki, Kelly Chien, Dai Chihara, Jason Westin, Fareed Khawaja, Loretta J Nastoupil, Victor Mulanovich, Andrew Futreal, Scott E Woodman, Naval G Daver, Christopher R Flowers, Sattva Neelapu, Joanna-Grace Manzano, Swaminathan P Iyer

Faculty, Staff and Student Publications

Importance: Cytokine storm (CS) is a hyperinflammatory syndrome causing multiorgan dysfunction and high mortality, especially in patients with malignant hematologic neoplasms. Triggers include malignant neoplasm-associated hemophagocytic lymphohistiocytosis (MN-HLH), cytokine release syndrome from chimeric antigen receptor T-cell therapy (CAR-T CRS), and COVID-19, but the underlying mechanisms of inflammation and their impact on outcomes are poorly understood.

Objective: To delineate the inflammatory patterns characterizing different CS etiologies and their association with clinical outcomes.

Design, setting, and participants: This retrospective cohort study was conducted at the MD Anderson Cancer Center in Houston, Texas, between March 1, 2020, and November 20, 2022, using the …

Self-Reported Cognitive Function In Older Breast Cancer Survivors After Chemotherapy Treatment, Rachel Kim, Julia Peña, Kai-Ping Liao, Susan K Peterson, Liang Li, Daria Zorzi, Holly M Holmes, Mariana Chavez-Macgregor, Sharon H Giordano

Faculty, Staff and Student Publications

Purpose: This study evaluated self-reported cognitive function in older breast cancer survivors and its association with prior chemotherapy.

Materials and methods: Breast cancer survivors aged 65-years and older, diagnosed 2012-2013, with local and regional stage disease, were identified through the linked Texas Cancer Registry-Medicare dataset. Survivors completed the Functional Assessment of Cancer Therapy-Cognitive Function (FACT-CogV3) instrument and provided demographic and clinical data. A PCI--sub-score of less than 54 was used to identify cognitive impairment. Linear regression models were used to examine the FACT-CogV3 primary score, and logistic regression models evaluated the PCI--sub-score.

Results: Of 4448 eligible survivors, 1594 (35.8 %) …

Lysyl Hydroxylase 2 Glucosylates Collagen Vi To Drive Lung Cancer Progression, Shike Wang, Houfu Guo, Reo Fukushima, Masahiko Terajima, Min Liu, Guan-Yu Xiao, Lenka Koudelková, Chao Wu, Xin Liu, Jiang Yu, Emma Burris, Jun Xu, Alvise Schiavinato, William K Russell, Mitsuo Yamauchi, Xiaochao Tan, Jonathan M Kurie

Faculty, Staff and Student Publications

Lysyl hydroxylase 2 (LH2) is highly expressed in multiple tumor types and accelerates disease progression by hydroxylating lysine residues on fibrillar collagen telopeptides to generate stable collagen cross links in tumor stroma. Here, we show that a galactosylhydroxylysyl glucosyltransferase (GGT) domain on LH2-modified type-VI collagen (Col6) to promote lung adenocarcinoma (LUAD) growth and metastasis. In tumors generated by LUAD cells lacking LH2 GGT domain activity, stroma was less stiff, and stable types of collagen cross links were reduced. Mass spectrometric analysis of total and glycosylated peptides in parental and GGT-inactive tumor samples identified Col6 chain α3 (Col6a3), a component of …

Immunotherapy Targeting A Leader Sequence Cathepsin G-Derived Peptide, Chunhua Shi, Ze Tian, Jun Yan, Mao Zhang, Pariya Sukhumalchandra, Edward Chang, Guojun Yang, Junping You, Meng Cui, Qing Shi, Celine Kerros, Anne Philips, Na Qiao, Hiroki Torikai, Sathvik Patchametla, Anna Sergeeva, Lisa St John, Helen He, Dmitri Wiederschain, Benjamin H Lee, Geraldine L C Paulus, Dongxing Zha, Jeffrey Molldrem, Gheath Alatrash

Faculty, Staff and Student Publications

Myeloid azurophil granules provide a rich source of intracellular leukemia antigens. Cathepsin G (CG) is a serine protease that has higher expression in acute myeloid leukemia (AML) blasts in comparison to normal myeloid progenitors. Based on the unique biology of HLA-A*0201 (HLA-A2), in which presentation of leader sequence (LS)-derived peptides is favored, we focused on the LS-CG-derived peptide CG1 (FLLPTGAEA). We previously detected CG1/HLA-A2 complexes on the surface of primary HLA-A2+ AML blasts and cell lines, and immunity targeting CG1/HLA-A2 in leukemia patients. T cell receptor (TCR)-mimic (m) antibodies are immunotherapeutic antibodies that target peptide-HLA (pHLA) complexes. Here we report …

Insulin-Like Growth Factor 2 As A Driving Force For Exponential Expansion And Differentiation Of The Neonatal Thymus, Seung Woo Kang, Bryan R Helm, Yu Wang, Shiyun Xiao, Wen Zhang, Anusha Vasudev, Ken S Lau, Qi Liu, Ellen R Richie, Laura P Hale, Nancy R Manley

Faculty, Staff and Student Publications

Like all organs, the thymus grows in size and function rapidly during development, but this growth comes to a halt after birth. However, the molecular mechanisms behind such a transition in the thymus remain obscure. Using single-cell RNA sequencing (scRNA-seq) of the murine thymic stroma, we identified that major transcriptomic changes occur in the endothelium and mesenchyme across the transition to homeostasis. Differentially expressed gene and intercellular network analyses of temporally resolved scRNA-seq data revealed fibroblast-derived insulin-like growth factor 2 (IGF2) as a candidate driving neonatal thymic expansion. We demonstrated that IGF2 activity promotes a cortical thymic epithelial cell-specific proliferation …

A New Cure Model Accounting For Longitudinal Data And Flexible Patterns Of Hazard Ratios Over Time, Can Xie, Xuelin Huang, Ruosha Li, Yu Shen, Nicholas J Short, Kapil N Bhalla

Faculty, Staff and Student Publications

With the advancement of medical treatments, many historically incurable diseases have become curable. An accurate estimation of the cure rates is of great interest. When there are no clear biomarker indicators for cure, the estimation of cure rate is intertwined with and influenced by the specification of hazard functions for uncured patients. Consequently, the commonly used proportional hazards (PH) assumption, when violated, may lead to biased cure rate estimation. Meanwhile, longitudinal biomarker measurements for individual patients are usually available. To accommodate non-PH functions and incorporate individual longitudinal biomarker trajectories, we propose a new joint model for cure, survival, and longitudinal …

Diet And Survival After A Diagnosis Of Ovarian Cancer: A Pooled Analysis From The Ovarian Cancer Association Consortium, Christina M Nagle, Torukiri I Ibiebele, Renhua Na, Elisa V Bandera, Daniel Cramer, Jennifer A Doherty, Graham G Giles, Marc T Goodman, Gillian E Hanley, Holly R Harris, Allan Jensen, Susanne K Kjaer, Alice Lee, Valerie Mcguire, Roger L Milne, Bo Qin, Jean Richardson, Naoko Sasamoto, Joellen M Schildkraut, Weiva Sieh, Kathryn L Terry, Linda Titus, Britton Trabert, Nicolas Wentzensen, Anna H Wu, Andrew Berchuck, Malcolm C Pike, Celeste Leigh Pearce, Penelope M Webb, Multidisciplinary Ovarian Cancer Outcomes Group And Ovarian Cancer Association Consortium

Faculty, Staff and Student Publications

Background: Prognosis after a diagnosis of invasive epithelial ovarian cancer is poor. Some studies have suggested modifiable behaviors, like diet, are associated with survival but the evidence is inconsistent.

Objectives: This study aims to pool data from studies conducted around the world to evaluate the relationships among dietary indices, foods, and nutrients from food sources and survival after a diagnosis of ovarian cancer.

Methods: This analysis from the Multidisciplinary Ovarian Cancer Outcomes Group within the Ovarian Cancer Association Consortium included 13 studies with 7700 individuals with ovarian cancer, who completed food-frequency questionnaires regarding their prediagnosis diet. Adjusted hazard ratios (aHRs) …

Crowd-Sourced Benchmarking Of Single-Sample Tumor Subclonal Reconstruction, Adriana Salcedo, Maxime Tarabichi, Alex Buchanan, Shadrielle M G Espiritu, Hongjiu Zhang, Kaiyi Zhu, Tai-Hsien Ou Yang, Ignaty Leshchiner, Dimitris Anastassiou, Yuanfang Guan, Gun Ho Jang, Mohammed F E Mootor, Kerstin Haase, Amit G Deshwar, William Zou, Imaad Umar, Stefan Dentro, Jeff A Wintersinger, Kami Chiotti, Jonas Demeulemeester, Clemency Jolly, Lesia Sycza, Minjeong Ko, Pcawg Evolution And Heterogeneity Working Group, Smc-Het Participants, David C Wedge, Quaid D Morris, Kyle Ellrott, Peter Van Loo, Paul C Boutros

Faculty, Staff and Student Publications

Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumor evolution, allowing an assessment of how cancers initiate, progress and respond to selective pressures. We launched the ICGC-TCGA (International Cancer Genome Consortium-The Cancer Genome Atlas) DREAM Somatic Mutation Calling Tumor Heterogeneity and Evolution Challenge to benchmark existing subclonal reconstruction algorithms. This 7-year community effort used cloud computing to benchmark 31 subclonal reconstruction algorithms on 51 simulated tumors. Algorithms were scored on seven independent tasks, leading to 12,061 total runs. Algorithm choice influenced performance substantially more than tumor features but purity-adjusted read depth, copy-number state and read mappability …

Concurrent Bone Marrow Acute Undifferentiated Leukemia And Mediastinal T‐Lymphoblastic Lymphoma With Identical Set::Nup214 Fusion And Phf6 And Ezh2 Mutations, Qing Wei, Fatima Z Jelloul, Sa A Wang, Guilin Tang, Shaoying Li, Pei Lin, Sanam Loghavi, Huan-You Wang, L Jeffrey Medeiros, Jie Xu

Faculty, Staff and Student Publications

Acute undifferentiated leukemia (AUL) is a rare hematologic malignancy lacking lineage‐specific markers. Concurrent, clonally related AUL and T‐lymphoblastic lymphoma (T‐LBL) has not been reported previously. Here we describe a patient who was diagnosed with AUL in the bone marrow and T‐LBL in the mediastinum after a thorough immunophenotyping by flow cytometry and immunohistochemistry. Despite their immunophenotypic differences, the AUL and T‐LBL showed identical genetic alterations: SET::NUP214 fusion, PHF6, and EZH2 mutations. The patient achieved and remained in complete remission after chemotherapy and stem cell transplantation. This case underscores the value of comprehensive immunophenotyping and genetic analysis in rare hematologic …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Characterization Of A Time-Resolved, Real-Time Scintillation Dosimetry System For Ultra-High Dose-Rate Radiation Therapy Applications, Alexander Baikalov, Daline Tho, Kevin Liu, Stefan Bartzsch, Sam Beddar, Emil Schüler

Faculty, Staff and Student Publications

Purpose: Scintillation dosimetry has promising qualities for ultra-high-dose-rate (UHDR) radiation therapy (RT), but no system has shown compatibility with mean dose rates (DR¯) above 100 Gy/s and doses per pulse (Dp) exceeding 1.5 Gy typical of UHDR (FLASH)-RT. The aim of this study was to characterize a novel scintillation dosimetry system with the potential of accommodating UHDRs.

Methods and materials: We undertook a thorough dosimetric characterization of the system on an UHDR electron beamline. The system's response as a function of dose, DR¯, Dp, and the pulse dose-rate (DRp) was investigated, as was the system's dose sensitivity (signal per unit …

Lesion Classification By Model-Based Feature Extraction: A Differential Affine Invariant Model Of Soft Tissue Elasticity In Ct Images, Weiguo Cao, Marc J Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F Abbasi, Perry J Pickhardt

Faculty, Staff and Student Publications

The elasticity of soft tissues has been widely considered a characteristic property for differentiation of healthy and lesions and, therefore, motivated the development of several elasticity imaging modalities, for example, ultrasound elastography, magnetic resonance elastography, and optical coherence elastography to directly measure the tissue elasticity. This paper proposes an alternative approach of modeling the elasticity for prior knowledge-based extraction of tissue elastic characteristic features for machine learning (ML) lesion classification using computed tomography (CT) imaging modality. The model describes a dynamic non-rigid (or elastic) soft tissue deformation in differential manifold to mimic the tissues’ elasticity under wave fluctuation in vivo. …