Neoplasms Commons^™

Regulation Of Insm1 Gene Expression And Neuroendocrine Differentiation In High-Risk Neuroblastoma, Chiachen Chen, Siyuan Cheng, Xiuping Yu, Yisheng Lee, Michael S. Lan

School of Graduate Studies Faculty Publications

Neuroblastoma (NB), a pediatric cancer of sympatho-adrenal (SA) lineage, is marked by disrupted differentiation and cellular heterogeneity. INSM1, a zinc-finger transcription factor, is highly expressed in NB and developing SA tissues, where it regulates neuroendocrine differentiation, especially in chromaffin cells. We investigated INSM1's role in maintaining an undifferentiated, progenitor-like state in NB and its regulation via metabolic and epigenetic mechanisms. Transcriptomic profiling, promoter assays, and metabolic flux analysis revealed that INSM1 expression correlates with methionine cycle activity, particularly the S-adenosylmethionine (SAM)/S-adenosylhomocysteine (SAH) ratio. Disruption of SAM/SAH balance altered INSM1 promoter activity and histone methylation, implicating epigenetic control in NB cell …

Genomic Ascertainment Of Chek2 -Related Cancer Predisposition, Sunyoung Kim, Jung Kim, Mark Ramos, Jeremy Haley, Diane Smelser, H. Shanker Rao, Uyenlinh L. Mirshahi, Katherine L. Nathanson, Barry I. Graubard, Hormuzd A. Katki, David Carey, Douglas R. Stewart

School of Graduate Studies Faculty Publications

Importance: There is clear evidence that deleterious germline variants in CHEK2 increase risk for breast and prostate cancers; there is limited or conflicting evidence for other cancers. Objective: To quantify the prevalence of as well as cancer risk and survival associated with CHEK2 germline pathogenic and likely pathogenic variants using genomic ascertainment. Design, Setting, and Participants: This case-control study used 2 electronic health record-linked and exome-sequenced biobanks: UK Biobank (n = 469765) and Geisinger MyCode (adults only; n = 167050). Variants were classified according to American College of Medical Genetics and Genomics and the Association for Molecular Pathology criteria. Cases …

Proteome-Wide Association Study Of Prostate Cancer Risk Across Populations, Hua Zhong, Jingjing Zhu, Shuai Liu, Chong Wu, Liang Wang, Seamus P. Whelton, Catherine H. Marshall, Michael J. Blaha, Peter Durda, Xiuqing Guo, Craig W. Johnson, Henry J. Lin, Kent D. Taylor, Russell P. Tracy, Ronit I. Yarden, Ani W. Manichaikul, Stephen S. Rich, Jerome I. Rotter, Rajat Deo, Ruth F. Dubin, Peter Ganz, Lang Wu

School of Graduate Studies Faculty Publications

There is insufficient understanding of the molecular basis of prostate cancer (PCa) across different populations. We perform a large-scale proteome-wide association study (PWAS) to identify proteins with genetically regulated expression in plasma to be associated with PCa risk across populations. We develop genetic prediction models for expression of 1578, 1993, 1218, and 1390 proteins for African (n = 450), European (n = 758), Asian (n = 289), and Hispanic/Latino (n = 474) males, respectively, and evaluate associations of genetically regulated protein expression with PCa risk in 19,391 PCa cases and 61,608 controls of African population, 122,188 cases and 604,640 controls …

Risk Of Second Primary Lung Cancer Among Cancer Survivors Stratified By The Site Of First Primary Cancer And The Lung Cancer Screening Eligibility Status, Sara Nofal, Edwin J Ostrin, Jianjun Zhang, Jia Wu, Paul Scheet, Mara B Antonoff, John V Heymach, Iakovos Toumazis

Faculty, Staff and Student Publications

Personal history of cancer is an independent risk factor for developing lung cancer. However, it is not considered in the current US lung cancer screening (LCS) guidelines. In this study, we assessed the risk of developing lung cancer among cancer survivors across 24 different sites of first primary cancer stratified by their LCS eligibility status. Using data from the Patient History Database at the University of Texas MD Anderson Cancer Center, we calculated and compared the cumulative incidence of second primary lung cancer, the overall and the LCS eligibility status-specific, stratified by the site of first primary cancer among cancer …

Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin

Faculty, Staff and Student Publications

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed …

Impacts Of Radiation On Metabolism And Vascular Cell Senescence, Junichi Abe, Khanh Chau, Anahita Mojiri, Guangyu Wang, Masayoshi Oikawa, Venkata S K Samanthapudi, Abigail M Osborn, Keila C Ostos-Mendoza, Karla N Mariscal-Reyes, Tammay Mathur, Abhishek Jain, Joerg Herrmann, Syed Wamique Yusuf, Sunil Krishnan, Anita Deswal, Steven H Lin, Sivareddy Kotla, John P Cooke, Nhat-Tu Le

Faculty, Staff and Student Publications

Significance: This review investigates how radiation therapy (RT) increases the risk of delayed cardiovascular disease (CVD) in cancer survivors. Understanding the mechanisms underlying radiation-induced CVD is essential for developing targeted therapies to mitigate these effects and improve long-term outcomes for patients with cancer.

Recent Advances: Recent studies have primarily focused on metabolic alterations induced by irradiation in various cancer cell types. However, there remains a significant knowledge gap regarding the role of chronic metabolic alterations in normal cells, particularly vascular cells, in the progression of CVD after RT.

Critical Issues: This review centers on RT-induced metabolic alterations in vascular cells …

Bilateral Germ Cell Tumor Of The Testis: Biological And Clinical Implications For A Stem Versus Genetic Origin Of Cancers, Jamaal C Jackson, Darren Sanchez, Aron Y Joon, Marcos R Estecio, Andrew C Johns, Amishi Y Shah, Matthew Campbell, John F Ward, Louis L Pisters, Charles C Guo, Miao Zhang, Niki M Zacharias, Shi-Ming Tu

Faculty, Staff and Student Publications

Germ cell tumors of the testis (GCTs) provide an ideal tumor model to investigate the cellular versus genetic origin of cancers. In this single institutional study, we evaluated 38 patients with bilateral GCT, including tumors that occurred simultaneously (synchronous) and those occurring at different times (metachronous). For nine of these patients, DNA was isolated from the right and left GCT to determine the genomic and epigenetic differences between tissues using whole-exome sequencing (WES) and reduced representation bisulfite sequencing (RRBS). We found that seminomas and non-seminomas are molecularly distinct based on DNA methylation and not due to synchronous or metachronous disease. …

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …

Missense Mutation Of Msh6 Leucine 696 Has No Apparent Effect On The Dna Mismatch Repair Process, Razan H. Hammad, Rafia Rashid, Essence Tarrence, Christopher Bolden, Joanna E. Haye-Bertolozzi

XULAneXUS

Lynch Syndrome and Constitutional Mismatch Repair Deficiency are human diseases implicated in mutations of DNA mismatch repair (MMR) genes. This experiment tested a mutation of an MMR gene, MSH6, and evaluated how the mutation affected overall MMR effectiveness. Using the yeast Saccharomyces cerevisiae, we performed the CAN1 forward mutation assay to study msh6-L696F and its implications in the MMR process. We hypothesized that there would be a significant change in molecular function in the Msh6 protein in the presence of this mutation. Bioinformatic tools predicted that this amino acid change would have deleterious effects on MMR function. However, …

Global And Regional Disparities In Access To Specialist Sarcoma Services, Tomas Zamora, Eduardo Botello, Thomas Jenkins, Charlotte Jeys, Minna Laitinen, Ajay Puri, Lee Jeys, Boom Consensus Meeting Participants, Santiago Abad Repiso, Hesham Abdelbary, Alejandro Abiad Mejia, Ahmed Abood, Juan C Abril Martin, Adesegun Abudu, Ayman Abu Elhamd, Marthelena Acosta, Keisuke Ae, Manish Agarwal, Vivek Ajit Singh, Toru Akiyama, Ibrahim Alshaygy, Jose I Albergo, John Alexander, Patricio A Alfaro, Bugra Alpan, Jose Amaya-Valero, Megan Anderson, Dimosthenis Andreou, Lucas Annabell, Christopher Anthony, Ahmed Aoude, William Aston, Libe Asua Mentxaka, Christine Azzopardi, Thomas Baad-Hansen, Ismail T Badr, Francisco Baixauli-Garcia, Gavin Baker, Tessa Balach, Giacomo G Baldi, Janie Barry, Georges Basile, Stefano Bastoni, Mohammad H Basuki, Henrik Bauer, Lee Bayliss, Ricardo G Becker, Angad Bedi, Joseph Benevenia, Francisco Bengoa, Peter Bergh, Marko Bergovec, Nicholas Bernthal, Odion Binitie, David Boddie, Michele Boffano, Patricia Bonilla Huertas, Anna B Borgognoni, Rajesh Botchu, Richard A Boyle, Jos Bramer, Rahat Brar, Harriet Branford-White, Demien Broekhuis, Samuel E Broida, Tymoteusz Budny, Zachary D Burke, Jorge Cabrolier, Jose A Calvo-Haro, Jorge R Calvo-Tapies, Domenico A Campanacci, Rodrigo Cardoso, Richard Carey Smith, Pedro I Carvallo, Nicolas Casales Fresenga, Jose M Casanova, Oscar Ceballos, Juan L Cebrian Parra, Laura K Certain, Sara Chancon Cartaya, Chung M Chan, Yoon Joo Cho, Peter Choong, Yang-Guk Chung, David Ciechanowicz, David Clever, Sebastian Colina, Luis Consuegra, Cory Couch, Gillian Cribb, Carlos Cuervo, Laurence A Cusick, Solomon Dadia, Tanios Dagher, Dietmar Dammerer, Mark Davies, Nerys Davies, Luis P De La Rosa Martino, Francisco J De Santos De La Fuente, Marieke De Vaal, Claudia Deckers, Javier Delgado Obando, Shaneel Deo, Niklas Deventer, Claudia Di Bella, Gregory Domson, Davide M Donati, Desiree M Dorleijn, Jacques Du Toit, Debra Dunne, Rodolfo Duran Ciarrochi, Walid Ebeid, Elina Ekman, Ahmed M El Ghoneimy, Makoto Endo, Levent Eralp, Mahmoud Etaiwi, Scott Evans, Robin Evrard, Will Eward, Alberto Farese, Peter C Ferguson, Pedro F Ferreira Cardoso, Fabrice Fiorenza, Michael Flint, Hector Flores, Joao Freitas, Bruno Fuchs, Tomohiro Fujiwara, Philipp T Funovics, Marcos Galli Serra, Zakareya Gamie, Carlos Garces-Zarzalejo, Aaron Gazendam, Carsten Gebert, Jasper G Gerbers, Craig Gerrand, Ghaith Abou-Nouar, Michelle Ghert, Kanishka M Ghosh, Max Gibbons, Luis C Gomez-Mier, Jesus Gomez-Vallejo, Anne Gomez-Mascard, Marcos R Gonzalez, Fausto Gonzalez-Lizan, Georg Gosheger, Stuart Goudie, Krista Goulding, Stavros D Goumenos, Anthony Griffin, Ashish Gulia, Sanjay Gupta, Amit Gupta, Maurice Guzman, Mohammed Haitham, Jendrik Hardes, Francisco Hardoy, Yusuf Hasan, Georg Hauer, Helard Havard, Rex Haydon, John Healey, Nerea Hernandez Gonzalez, Adriana Hernandez-Lopez, Asle Hesla, Matthew Hess, Chindanai Hongsaprabhas, Francis Hornicek, Keith Hosking, Matthew T Houdek, Eleanor Houghton, Oluwaseyi K Idowu, Joseph Ippolito, Marc Isler, Shintaro Iwata, Jake Jagiello, Neil Jenkins, Tom Jeys, Luke Johnson, Andy Johnston, Min Wook Joo, Paul C Jutte, Kadri Kaldas, Amar Kamat, Sudhir Kannan, Bilal Kapanci, Zeeshan Khan, Hiroshi Kobayashi, Yehuda Kollender, Sebastian Koob, Daniel Kotrych, Vineet Kurisunkal, Richard Kyte, Jose M Lamo De Espinosa, Alexander L Lazarides, Louis-Romee Le Nail, Pawel Legosz, Burkhard Lehner, Andreas Leithner, Maryse Lejoly, Valerae O Lewis, Peng Lin, Francisco Linares, Santiago A Lozano-Calderon, Ashish Mahendra, Ferdiansyah Mahyudin, Fermin J Mandia Mancebo, Sara Martos Torrejon, Christian Marx, Eric Mascard, Jean-Camille Mattei, Louise Mccullough, Sam Mcmahon, Manuel R Medellin Rincon, Benjamin Miller, Shinji Miwa, Gustavo Molina Uribe, Bryan Moon, Thomas Hilton, Diego J Moriel Garcesco, Carol Morris, Guy Morris, Steward Morrison, Sophie Mottard, Marcio Moura, Linde Muster, Robert Nakayama, Prashant Narhari, Ana Navas, Prakash Nayak, Johannes Neugebauer, Erik T Newman, Jyrki Nieminen, Emmy Nyqvist, Lukas Nystrom, Sarah O'Reilly-Harbidge, Gary O'Toole, Vania Oliveira, André Olivier, Mohamed Omar, Eduardo J Ortiz-Cruz, Harzem Ozger, Korhan Ozkan, Elisa Pala, Emanuela Palmerini, Grant Pang, Panayiotis Papagelopoulos, Giovanni Paraliticci, Michael C Parry, Sam Patton, David Peake, Ana Peiro Ibanez, Israel Perez Munoz, Ganapathy R Perianayagam, Michael M Petersen, Joris Ploegmakers, Robin Pollock, Gerard Powell, Juan Pretell, Jan Puetzler, Faisal Qamar, Anand Raja, Raja B Rajasekaran, Dipak Ramkumar, R L Randall, Kenneth Rankin, Kevin A Raskin, Kumaran Rassppan, Lauris Repsa, Mickael Ropars, Peter Rose, Pietro Ruggieri, Wael Sadek, German Salcedo, Aasim Saleemi, Andrea Sambri, Hartej Sar, Roberto Scanferla, Thomas Schubert, Jan Schwarze, Guido Scoccianti, Ashley Scrimshire, Tetsuya Sekita, Ahmad Shehadeh, Ahmed Shoaib, Bhim Shreemal, Felix Shumelinsky, Geoffrey Siegel, Claudio Silveri, Robert Silverwood, Friedl Sinnaeve, Jerome Sison, Andrea Slade, Maria A Smolle, Franz Snyman, Scott Sommerville, Sahil Sood, Andre Spiguel, Hugo St-Yves, Eric L Staals, Silvia Stacchiotti, Nikolas Stavropoulos, Peter Steadman, Jonathan D Stevenson, Mikaela Sullivan, Gwen Sys, Bartlomiej Szostakowski, Angela Tamburini, Yuta Taniguchi, Thomas Temple, Christoph Theil, Joachim Thorkildsen, Meagan Tibbo, Roger Tillman, Yu Toda, Kaspar Tootsi, Ferran Torner-Rubies, Frank Traub, Ioannis Trikoupis, Panagiotis Tsagkozis, Kim Tsoi, Hiroyuki Tsuchiya, Veli-Matti Vainio, Antonio Valcarcel, Juan Valencia, Annelies Van Beeck, Michiel Van De Sande, Thomas Van Den Berghe, Ingrid Van Der Geest, Lizz Van Der Heijden, Robert Van Der Wal, Kirsten Van Langevelde, Gualter Vaz, Roberto Velez Villa, Floortje Verspoor, Koenraad Verstraete, Julia Visgauss, Oleg Vyrva, Hazem Wafa, Sebastian Walter, Wan F Wan Ismail, Edward Wang, Patrick Q Wang, David Warnock, Joel Werier, Wolfram Weschenfelder, Kwok-Chuen Wong, Marjan Wouthuyzen-Bakker, Jay Wunder, Indica Wysinghe, Norio Yamamoto, Zhaoming Ye, Seung-Jae Yoon, Suraya Zainul Abidin, Pierluca Zecchetto, Liuzhe Zhang, Juan P Zumarraga, Miguel A Clara-Altamirano

Faculty, Staff and Student Publications

Aims: Cancer care guidelines have been developed in many subspecialities, usually in advanced health systems. However, there are notable global disparities in healthcare access, which can impact sarcoma care. Unfortunately, there is a lack of global data on this subject. Our aim was to describe access to sarcoma care based on a comprehensive global survey among orthopaedic oncologists, and assess for global as well as regional differences.

Methods: A 25-question survey was emailed to the attendees of the 2024 Birmingham Orthopaedic Oncology Meeting and included questions about the respondents' training and practice, access to sarcoma centres, and specific items for …

The Tumor Microenvironment Is An Ecosystem Sustained By Metabolic Interactions, Emily Jane Kay, Sara Zanivan

Faculty, Staff and Student Publications

Cancer-associated fibroblasts (CAFs) and immune cells make up two major components of the tumor microenvironment (TME), contributing to an ecosystem that can either support or restrain cancer progression. Metabolism is a key regulator of the TME, providing a means for cells to communicate with and influence each other, modulating tumor progression and anti-tumor immunity. Cells of the TME can metabolically interact directly through metabolite secretion and consumption or by influencing other aspects of the TME that, in turn, stimulate metabolic rewiring in target cells. Recent advances in understanding the subtypes and plasticity of cells in the TME both open up …

Alk Drives Neuroblastoma Tumorigenesis Via Upregulation Of Postn And Activation Of Wnt And Stat3 Signaling, Miller Huang, Wanqi Fang, Alvin Farrel, Linwei Li, Tania Porras Corredor, Shahab Asgharzadeh, John Maris, William A. Weiss

Research Symposium

Background: Neuroblastoma (NB) is the most common extracranial solid tumor in children. Two of the earliest known genetic drivers of NB are the oncogene MYCN and receptor tyrosine kinase ALK. While animal models show MYCN and mutationally active ALK F1174L can accelerate NB tumorigenesis, the mechanism of this cooperation is unknown. This study applied a human stem cell-based model to elucidate how ALK cooperates with MYCN to accelerate tumorigenesis of NB.

Methods: Induced pluripotent stem cells (iPSCs) were engineered with doxycycline-inducible MYCN and constitutively active ALKF1174L. These iPSCs were differentiated into trunk neural crest cells (tNCCs) and orthotopically transplanted into …

Mir-125a-3p And Its Targets: Promising Biomarkers For Ovarian, Liver, And Breast Cancers, Offering A Beacon Of Hope For More Effective Diagnosis And Treatment Strategies, Eman Kamaleldien Anwer

Theses and Dissertations

Cancer is a worldwide health problem with various genetic and epigenetic alterations, resulting in disease heterogeneity. Effective diagnostic, therapeutic, and monitoring markers have been determined recently; however, new diagnostic, prognostic, and therapeutic markers are needed. MicroRNAs (miRNA), short non-coding RNAs, have a highlighted role in cancer progression, migration, and programmed cell death. Our study aims to investigate the significance of miR-125a-3p and its downstream targets in breast (BRCA), hepatocellular (HCC), and ovarian (OVCA) malignancies and their possibility as diagnostic biomarkers and targets for therapeutic agents. Bioinformatics and online tools were used to determine the miRNA-predicted downstream targets, analyze GEO datasets, …

Single-Cell Rna Sequencing Identifies Molecular Biomarkers Predicting Late Progression To Cdk4/6 Inhibition In Patients With Hr+/Her2- Metastatic Breast Cancer, Linjie Luo, Peng Yang, Sofia Mastoraki, Xiayu Rao, Yan Wang, Nicole M Kettner, Akshara Singareeka Raghavendra, Debasish Tripathy, Senthil Damodaran, Kelly K Hunt, Jing Wang, Ziyi Li, Khandan Keyomarsi

Faculty, Staff and Student Publications

Background: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) in combination with endocrine therapy are the standard treatment for patients with hormone receptor-positive, HER2-negative metastatic breast cancer (mBC). Despite the efficacy of CDK4/6is, intrinsic resistance occurs in approximately one-third of patients, highlighting the need for reliable predictive biomarkers.

Methods: Single-cell RNA sequencing analyzed metastatic tumors from HR+/HER2- mBC patients pre-CDK4/6i treatment at baseline (BL) and/or at disease progression. BL samples were from CDK4/6i responders (median progression-free survival [mPFS] = 25.5 months), while progressors were categorized as early-progressors (EP, mPFS = 3 months) and late-progressors (LP, mPFS = 11 months). Metastatic sites included liver, …

Genetics And Biology Of Pancreatic Ductal Adenocarcinoma, Haoqiang Ying, Alec C Kimmelman, Nabeel Bardeesy, Raghu Kalluri, Anirban Maitra, Ronald A Depinho

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) poses a grim prognosis for patients. Recent multidisciplinary research efforts have provided critical insights into its genetics and tumor biology, creating the foundation for rational development of targeted and immune therapies. Here, we review the PDAC genomic landscape and the role of specific oncogenic events in tumor initiation and progression, as well as their contributions to shaping its tumor biology. We further summarize and synthesize breakthroughs in single-cell and metabolic profiling technologies that have illuminated the complex cellular composition and heterotypic interactions of the PDAC tumor microenvironment, with an emphasis on metabolic cross-talk across cancer and …

Targeted Inhibition Of Aurora Kinase A Promotes Immune Checkpoint Inhibition Efficacy In Human Papillomavirus-Driven Cancers, Soma Ghosh, Madison P O'Hara, Pragya Sinha, Tuhina Mazumdar, Lacin Yapindi, Jagannadha K Sastry, Faye M Johnson

Faculty, Staff and Student Publications

Background: Human papillomavirus (HPV)-driven cancers include head and neck squamous cell carcinoma and cervical cancer and represent approximately 5% of all cancer cases worldwide. Standard-of-care chemotherapy, radiotherapy, and immune checkpoint inhibitors (ICIs) are associated with adverse effects and limited responses in patients with HPV-driven cancers. The integration of targeted therapies with ICIs may improve outcomes. In a previous study, we demonstrated that Aurora kinase A (AURKA, Aurora A) inhibitors lead to apoptosis of human HPV-positive cancer cells in vitro and in vivo. Here, we explored the potential of Aurora A inhibition to enhance response to ICIs in immune-competent …

Characterizing A Rad23 Dependent Ultraviolet Radiation Resistance In Tetrahymena Thermophila, Emma June Liimatta

Graduate Theses/Dissertations

In 2020, 10 million deaths were attributed to cancer, with multidrug resistance being responsible for over 90% of deaths in cancer patients receiving treatment. This study utilized the model organism Tetrahymena thermophila to study how cells become resistant to Ultraviolet Radiation (UV) radiation, a process similar to multidrug resistance, specifically focusing on the nucleotide excision repair and ubiquitin shuttle protein Rad23. The National Cancer Institute documented 30-60% of cancers tested had a mutation in RAD23. Knockdown of RAD23 in Tetrahymena thermophila demonstrated a UV resistance phenotype with decreased nucleotide excision repair and differential expression of proteins active within caspase-independent …

Utility Of Pre-Procedural [99mtc]Tcmaa Spect/Ct Multicompartment Dosimetry For Treatment Planning Of 90y Glass Microspheres In Patients With Hepatocellular Carcinoma: Comparison Of Anatomic Versus [99mtc]Tcmaa-Based Segmentation, Marnix Lam, Etienne Garin, Paul Haste, Alban Denys, Brian Geller, S Cheenu Kappadath, Cuneyt Turkmen, Daniel Y Sze, Hamad Saleh Alsuhaibani, Ken Herrmann, Marco Maccauro, Murat Cantasdemir, Matthew Dreher, Kirk D Fowers, Vanessa Gates, Riad Salem

Faculty, Staff and Student Publications

Purpose: Pre-treatment [99mTc]TcMAA-based radioembolization treatment planning using multicompartment dosimetry involves the definition of the tumor and normal tissue compartments and calculation of the prescribed absorbed doses. The aim was to compare the real-world utility of anatomic and [99mTc]TcMAA-based segmentation of tumor and normal tissue compartments.

Materials and methods: Included patients had HCC treated by glass [90Y]yttrium microspheres, ≥ 1 tumor, ≥ 3 cm diameter and [99mTc]TcMAA SPECT/CT imaging before treatment. Segmentation was performed retrospectively using dedicated dosimetry software: (1) anatomic (diagnostic CT/MRI-based), and (2) [99mTc]TcMAA threshold-based (i.e., using an activity-isocontour threshold). CT/MRI was co-registered with [99mTc]TcMAA SPECT/CT. Logistic regression and …

Psychometric Properties And Meaningful Change Thresholds For The Qol-E Instrument In Patients With Myelodysplastic Neoplasms, Esther Natalie Oliva, Shien Guo, Jennifer Lord-Bessen, Aylin Yucel, Roberto Latagliata, Massimo Breccia, Giuseppe A Palumbo, Grazia Sanpaolo, Marta Riva, Valeria Santini, Uwe Platzbecker, Guillermo Garcia-Manero, Pierre Fenaux, Christopher G Pelligra

Faculty, Staff and Student Publications

peripheral blood cytopenias, and an increased risk of progression to acute myeloid leukemia. One of the main treatment goals is improving quality of life (QoL), particularly for patients with lower-risk MDS (LR-MDS) who may live longer with compromised QoL. The QOL-E© is a patient-reported outcome (PRO) measure specifically developed to address the lack of a health-related QoL questionnaire for patients with MDS. The objective of this study was to evaluate the psychometric performance of the QOL-E in patients with LR-MDS.

Methods: Data from four clinical trials in MDS (MEDALIST, DARB-MDS, EQoL-MDS, and RevMDS trials) were used to assess construct validity, …

Predicting Sinonasal Inverted Papilloma Attachment Using Machine Learning: Current Lessons And Future Directions, Sean P Mckee, Xiaomin Liang, William C Yao, Brady Anderson, Jumah G Ahmad, David Z Allen, Salman Hasan, Andy J Chua, Chinmay Mokashi, Samia Islam, Amber U Luong, Martin J Citardi, Luca Giancardo

Faculty, Staff and Student Publications

Background: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on computed tomography (CT). Herein, we developed a machine learning (ML) model capable of analyzing CT images and identifying IP attachment sites.

Methods: A retrospective review of patients treated for IP at our institution was performed. The tumor attachment site was manually segmented on CT scans by the operating surgeon. We used a nnU-Net model, a state-of-the-art deep learning-based segmentation algorithm that automatically configures image preprocessing, network architecture, training, and post-processing to identify the IP attachment site. The model was trained and evaluated using a 5-fold cross …

Tissue And Imaging Biomarkers Of Response To Neoadjuvant Nivolumab Or Nivolumab Plus Ipilimumab In Patients With Resectable Hepatocellular Carcinoma, Michael Lapelusa, Shadi Chamseddine, Hop Sanderson Tran Cao, Lianchun Xiao, Elshad Hasanov, Priya Bhosale, Hesham M Amin, Yehia I Mohamed, Betul Gok Yavuz, Yara Sakr, Li Xu, Ian Hu, Sunyoung S Lee, Divya Sakamuri, Sonali Jindal, Van Nguyen, Michael A Curran, Ryan Sun, Asif Rashid, Dan Gabriel Duda, Padmanee Sharma, Aliya Qayyum, Ahmed Omar Kaseb

Faculty, Staff and Student Publications

Introduction: Perioperative immunotherapy has shown promise in some patients with early-stage hepatocellular carcinoma (HCC). This study examined tissue and imaging biomarkers associated with pathologic response in a phase II clinical trial in patients with resectable HCC.

Methods: Analysis included 18 patients with biopsy-proven resectable HCC treated with neoadjuvant nivolumab plus ipilimumab or nivolumab alone in a phase II clinical trial at MD Anderson Cancer Center (NCT03222076). Liver MRE (to measure tissue fibrosis) and biopsies (to evaluate immune activation markers) were obtained serially pretreatment and after completing neoadjuvant immunotherapy. A major pathologic response (MPR) was defined as tumor necrosis …

Knowledge-Based Planning For Fully Automated Radiation Therapy Treatment Planning Of 10 Different Cancer Sites, Christine V Chung, Meena S Khan, Adenike Olanrewaju, Mary Pham, Quyen T Nguyen, Tina Patel, Prajnan Das, Michael S O'Reilly, Valerie K Reed, Anuja Jhingran, Hannah Simonds, Ethan B Ludmir, Karen E Hoffman, Komeela Naidoo, Jeannette Parkes, Ajay Aggarwal, Lauren L Mayo, Shalin J Shah, Chad Tang, Beth M Beadle, Julie Wetter, Gary Walker, Simon Hughes, Vinod Mullassery, Stephen Skett, Christopher Thomas, Lifei Zhang, Son Nguyen, Raymond P Mumme, Raphael J Douglas, Hana Baroudi, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Radiation treatment planning is highly complex and can have significant inter- and intra-planner inconsistency, as well as variability in planning time and plan quality. Knowledge-based planning (KBP) is a tool that can be used to efficiently produce high-quality, consistent, clinically acceptable plans, independent of planner skills and experience. In this study, we created and validated multiple clinically acceptable and fully automatable KBP models, with the goal of creating VMAT plans without user intervention.

Methods: Ten KBP models were configured using high quality clinical plans from a single institution. They were then honed to be part of a fully automatable …

The Role Of Epigenetic Aberrations In The Cold Tumor Phenotype And Inflammatory Signaling In High-Risk Neuroblastoma, Pamela Morgan Watson

Alternative Theses and Dissertations (AETDs)

Neuroblastoma (NB) is a highly aggressive, heterogeneous disease that arises from the sympathetic nervous system (SNS) and originates from neural crest cells (NCCs) (1). NB is the most common extracranial cancer in pediatric accounts for 15% of pediatric cancer deaths (2). This high mortality rate is the result of the metastatic, immune evasive, and treatment resistant characteristics of the disease (3). It has been proposed that NB arises from blocks in differentiation during development, resulting in a mixture of two distinct cell types within the tumor: mesenchymal and adrenergic (Figure 1.1) (4,5). The adrenergic cell type is more differentiated, and …

Long-Read Sequencing Of An Advanced Cancer Cohort Resolves Rearrangements, Unravels Haplotypes, And Reveals Methylation Landscapes, Kieran O'Neill, Erin Pleasance, Jeremy Fan, Vahid Akbari, Glenn Chang, Katherine Dixon, Veronika Csizmok, Signe Maclennan, Vanessa Porter, Andrew Galbraith, Cameron J Grisdale, Luka Culibrk, John H Dupuis, Richard Corbett, James Hopkins, Reanne Bowlby, Pawan Pandoh, Duane E Smailus, Dean Cheng, Tina Wong, Connor Frey, Yaoqing Shen, Eleanor Lewis, Luis F Paulin, Fritz J Sedlazeck, Jessica M T Nelson, Eric Chuah, Karen L Mungall, Richard A Moore, Robin Coope, Andrew J Mungall, Melissa K Mcconechy, Laura M Williamson, Kasmintan A Schrader, Stephen Yip, Marco A Marra, Janessa Laskin, Steven J M Jones

Faculty, Staff and Students Publications

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can …

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 …

Neoadjuvant Parpi Or Chemotherapy In Ovarian Cancer Informs Targeting Effector Treg Cells For Homologous-Recombination-Deficient Tumors, Yikai Luo, Yu Xia, Dan Liu, Xiong Li, Huayi Li, Jiahao Liu, Dongchen Zhou, Yu Dong, Xin Li, Yiyu Qian, Cheng Xu, Kangjia Tao, Guannan Li, Wen Pan, Qing Zhong, Xingzhe Liu, Sen Xu, Zhi Wang, Ronghua Liu, Wei Zhang, Wanying Shan, Tian Fang, Siyuan Wang, Zikun Peng, Ping Jin, Ning Jin, Shennan Shi, Yuxin Chen, Mengjie Wang, Xiaofei Jiao, Mengshi Luo, Wenjian Gong, Ya Wang, Yue Yao, Yi Zhao, Xinlin Huang, Xuwo Ji, Zhaoren He, Guangnian Zhao, Rong Liu, Mingfu Wu, Gang Chen, Li Hong, Cocpo Consortium, Ding Ma, Yong Fang, Han Liang, Qinglei Gao

Faculty, Staff and Student Publications

Homologous recombination deficiency (HRD) is prevalent in cancer, sensitizing tumor cells to poly (ADP-ribose) polymerase (PARP) inhibition. However, the impact of HRD and related therapies on the tumor microenvironment (TME) remains elusive. Our study generates single-cell gene expression and T cell receptor profiles, along with validatory multimodal datasets from >100 high-grade serous ovarian cancer (HGSOC) samples, primarily from a phase II clinical trial (NCT04507841). Neoadjuvant monotherapy with the PARP inhibitor (PARPi) niraparib achieves impressive 62.5% and 73.6% response rates per RECIST v.1.1 and GCIG CA125, respectively. We identify effector regulatory T cells (eTregs) as key responders to HRD …

Landmark-Based Auto-Contouring Of Clinical Target Volumes For Radiotherapy Of Nasopharyngeal Cancer, Carlos Sjogreen, Tucker J Netherton, Anna Lee, Moaaz Soliman, Skylar S Gay, Callistus Nguyen, Raymond Mumme, Ivan Vazquez, Dong Joo Rhee, Carlos E Cardenas, Mary K Martel, Beth M Beadle, Laurence Edward Court

Faculty, Staff and Student Publications

Background: The delineation of clinical target volumes (CTVs) for radiotherapy for nasopharyngeal cancer is complex and varies based on the location and extent of disease.

Purpose: The current study aimed to develop an auto-contouring solution following one protocol guidelines (NRG-HN001) that can be adjusted to meet other guidelines, such as RTOG-0225 and the 2018 International guidelines.

Methods: The study used 2-channel 3-dimensional U-Net and nnU-Net framework to auto-contour 27 normal structures in the head and neck (H&N) region that are used to define CTVs in the protocol. To define the CTV-Expansion (CTV1 and CTV2) and CTV-Overall (the outer envelope of …

Breast Cancer (Bc) And Severe Covid-19 (C-19) Outcomes: A Matched Analysis, Marija Sullivan, Xiudong Lei, Sharon H Giordano, Mariana Chavez-Macgregor

Faculty, Staff and Student Publications

Purpose: Patients with cancer receiving anticancer treatment have a higher risk of severe COVID-19 (C-19) outcomes. We examine the association between breast cancer (BC), recent treatment (systemic therapy, surgery, radiation), and C-19 outcomes.

Methods: Retrospective matched cohort study using the Optum® de-identified C-19 Electronic Health Record dataset (2007-2022). Patients with C-19 were categorized into: no cancer, BC with recent treatment, and BC without recent treatment and matched based on age, C-19 diagnosis date, and comorbidity score. We evaluated 30-day mortality, mechanical ventilation, intensive care unit (ICU) stay, and hospitalization. A composite outcome including all outcomes was analyzed. Multivariable logistic regression …

Development Of A Novel Comprehensive Hepatocellular Carcinoma Outcome Prognostic Scoring System With Integration Of Imaging Features, Hop S Tran Cao, Russell G Witt, Khaled M Elsayes, Ali A Baiomy, Lianchun Xiao, Sarah Palmquist, Sunyoung S Lee, Yehia I Mohamed, Armeen Mahvash, Ching-Wei D Tzeng, Yun Shin Chun, Eugene Jon Koay, Asif Rashid, Manal M Hassan, James C Yao, Jean-Nicolas Vauthey, Ahmed O Kaseb

Faculty, Staff and Student Publications

Background: Accurate prognostic stratification of hepatocellular carcinoma (HCC) is vital for clinical trial enrollment and treatment allocation. Multiple scoring systems have been created to predict patient survival, but no standardized scoring systems account for radiologic tumor features. We sought to create a generalizable scoring system for HCC which incorporates standardized radiologic tumor features and more accurately predicts overall survival (OS) than established systems.

Methods: Clinicopathologic parameters were collected from a prospectively collected cohort of patients with HCC treated at a single institution. Imaging studies were evaluated for tumor characteristics. Patients were randomly divided into a training set for identification of …

Focal Adhesion Kinase-Yap Signaling Axis Drives Drug-Tolerant Persister Cells And Residual Disease In Lung Cancer, Franziska Haderk, Yu-Ting Chou, Lauren Cech, Celia Fernández-Méndez, Johnny Yu, Victor Olivas, Ismail M Meraz, Dora Barbosa Rabago, D Lucas Kerr, Carlos Gomez, David V Allegakoen, Juan Guan, Khyati N Shah, Kari A Herrington, Oghenekevwe M Gbenedio, Shigeki Nanjo, Mourad Majidi, Whitney Tamaki, Yashar K Pourmoghadam, Julia K Rotow, Caroline E Mccoach, Jonathan W Riess, J Silvio Gutkind, Tracy T Tang, Leonard Post, Bo Huang, Pilar Santisteban, Hani Goodarzi, Sourav Bandyopadhyay, Calvin J Kuo, Jeroen P Roose, Wei Wu, Collin M Blakely, Jack A Roth, Trever G Bivona

Faculty, Staff and Student Publications

Targeted therapy is effective in many tumor types including lung cancer, the leading cause of cancer mortality. Paradigm defining examples are targeted therapies directed against non-small cell lung cancer (NSCLC) subtypes with oncogenic alterations in EGFR, ALK and KRAS. The success of targeted therapy is limited by drug-tolerant persister cells (DTPs) which withstand and adapt to treatment and comprise the residual disease state that is typical during treatment with clinical targeted therapies. Here, we integrate studies in patient-derived and immunocompetent lung cancer models and clinical specimens obtained from patients on targeted therapy to uncover a focal adhesion kinase (FAK)-YAP signaling …