Neoplasms Commons^™

Evaluation Of Large Language Models As Decision Support Tools For Head And Neck Cancer Management: A Blinded Multidisciplinary Simulation Study, Sholem Hack, Ron J. Karni, Antonino Maniaci, Christopher E. Fundakowski, Luca Castellani, Fabiola Incandela, Remo Accorona, Miguel Mayo-Yanez, Martina Violati, Lorenzo Giannini, Niccolo' Mevio, Alberto Maria Saibene

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex oncologic scenarios is not well defined.

METHODS: Fourteen synthetic cases based on real tumor board encounters were evaluated. Five blinded comparator arms produced recommendations: a human expert, Non-RAG-GPT-4, Non-RAG-GPT-5, RAG-GPT-4, and RAG-GPT-5. Eight head and neck oncologic surgeons scored each recommendation for appropriateness, clarity, specificity, and feasibility using 5-point Likert scales. Paired permutation testing and inter-rater reliability were assessed.

RESULTS: LLM outputs showed close alignment with expert recommendations. RAG-based …

Artificial Intelligence In Head And Neck Cancer: Towards Precision Medicine., Jacob Hagen, Logan Hornung, William Barham, Supratik Mukhopadhyay, Ada Bess, Kevin Contrera, Kevin Contrera, Devraj Basu, Vlad Sandulache, Guillaume Spielmann, Sagar Kansara

School of Medicine Faculty Publications

Simple Summary: This review was conducted to highlight current and potential applications of artificial intelligence (AI) in the care of patients with head and neck cancer, the barriers to its clinical implementation, and the relative scarcity of research in this field. While AI has demonstrated success in other areas of oncology, its role in head and neck cancer remains limited, with progress slowed by technical, ethical, and logistical challenges. Nevertheless, integrating AI with multiomics approaches presents a promising opportunity to advance precision medicine in this patient population. The findings presented in this manuscript may encourage further multi-institutional studies aimed at …

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 …

Evolution Of Esophageal Adenocarcinoma From Precursor Lesion Stem Cells, Wa Xian, Shan Wang, Jingzhong Xie, Yusuke Yamamoto, Melina Khorrami, Yanting Zhang, Raul Caballero Montes, Caycel Desales, Melika Khorrami, Zaal Mory, Ashley Hoffman, Amber Su, Crystal Nguyen, Peter J A Davies, Clifford Stephan, Shuang Pan, Wengen Wu, Yuxin Liu, Jeremy Siegelman, Rebecca E Waters, William A Ross, Shumei Song, Mark Metersky, David G Beer, Christopher P Crum, Alexander J Stewart, Matthew Vincent, Richard Russell, Robert A Izard, Khek Yu Ho, Jack Hung-Sen Lai, William W Bachovchin, Jaffer A Ajani, Frank D Mckeon

Faculty, Staff and Student Publications

Background & aims: Metastatic cancers arise from a decades-long succession of increasingly virulent precursor lesions, each of which represents prospective targets for therapeutic intervention. This evolutionary process has been particularly vivid in esophageal adenocarcinoma (EAC), as this cancer and associated precursor lesions, including Barrett's esophagus (BE), low-grade dysplasia (LGD), and high-grade dysplasia (HGD), coexist in an accessible, 2-dimensional pattern in esophageal mucosa. Given the durability of these precursor lesions, it is likely that they, like EAC, rely on stem cells for their regenerative growth. To assess the role of stem cells in the evolution of EAC, we apply technology that …

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 …

Refine: A Database Of Linked Clinical Data And Genomic Biomarkers In Renal Cell Carcinoma Patients Receiving Immunotherapy-Based Treatment Regimens, Jeffrey Zhong, Albert Jang, Bashar Abuqayas, Arnab Basu, David Benjamin, Vineel Bhatlapenumarthi, Mehmet Asim Bilen, Dhvani Buch, Mark Chang, Erica Chin, Sourat Darabi, Nagendra Dhanikonda, Pooja Ghatalia, Claud Grigg, Abby Grier, Tanya Jindal, Joannah Jung, Deepak Kilari, Hamsa Kumar, Suzanna Lee, Brittany Neelands, Chinmayi Pandya, Jeff Pawalek, Jaimee Staggers, Ahmet Yildirim, Yousef Zakharia, Kevin Zarrabi, Michael Zimmerman, George Sledge, David Spetzler, Andrew Elliott, Rana Mckay, Pedro Barata

Department of Medical Oncology Faculty Papers

The REnal cancer consortium for Focused Investigation of Novel biomarkers and Expression (REFINE) consortium represents an important initiative in integrating clinical data with molecular sequencing in patients with advanced renal cell carcinoma (RCC) treated with immunotherapy-based approaches. By leveraging real-world evidence and genomic analysis, this consortium aims to explore putative predictive biomarkers with the potential to inform personalized treatment strategies. Findings from the REFINE database may further contribute to our understanding of disease courses of immunotherapy-based approaches for various molecular subtypes of RCC, associations of race and ethnicity with RCC treatment and outcomes with representation of patient populations underrepresented in …

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 …

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 …

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 …

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 …

Comparison Of Vendor-Pretrained And Custom-Trained Deep Learning Segmentation Models For Head-And-Neck, Breast, And Prostate Cancers, Xinru Chen, Yao Zhao, Hana Baroudi, Mohammad D El Basha, Aji Daniel, Skylar S Gay, Cenji Yu, He Wang, Jack Phan, Seungtaek L Choi, Chelain R Goodman, Xiaodong Zhang, Joshua S Niedzielski, Sanjay S Shete, Laurence E Court, Zhongxing Liao, Fredrik Löfman, Peter A Balter, Jinzhong Yang

Faculty, Staff and Student Publications

Background/objectives: We assessed the influence of local patients and clinical characteristics on the performance of commercial deep learning (DL) segmentation models for head-and-neck (HN), breast, and prostate cancers.

Methods: Clinical computed tomography (CT) scans and clinically approved contours of 210 patients (53 HN, 49 left breast, 55 right breast, and 53 prostate cancer) were used to train and validate segmentation models integrated within a vendor-supplied DL training toolkit and to assess the performance of both vendor-pretrained and custom-trained models. Four custom models (HN, left breast, right breast, and prostate) were trained and validated with 30 (training)/5 (validation) HN, 34/5 left …

What Do Cancer Genetic Providers Want Us To Know About Variant Reclassification And Recontact That We Are Not Asking? A Thematic Analysis Of Open-Ended Survey Responses, Kerri Brown, Marisel Ponton, Elenita Davidson, Banu Arun, Robert J Volk, Sanjay Shete, Susan K Peterson, Sukh Makhnoon

Faculty, Staff and Student Publications

BACKGROUND: Accurate variant classification and relaying reclassified results to patients is critical for hereditary cancer care delivery. Over a 5- to 10-year period, 6%-15% of variants undergo reclassification. As the frequency of reclassifications increases, the issue of whether, how, when, and which providers should recontact patients becomes important but remains contentious.

METHODS: The authors used inductive thematic analysis to analyze open-ended comments offered by oncologists and genetic counselors (GCs) from a large national survey.

RESULTS: Of the 634 oncologists and cancer GCs, 126 (20%) offered substantive free-text comments. Four thematic areas emerged: 1) ambiguity over professional responsibility to recontact, 2) …

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 …

Durable Local Control With Hypofractionated Radiation Therapy For Unresectable Or Metastatic Melanoma, Sydney A Keatts, Aya F Salem, David M Swanson, Ahsan S Farooqi, Andrew J Bishop, Rodabe N Amaria, Jennifer L Mcquade, Isabella C Glitza Oliva, Adi Diab, Roi Weiser, Sarah B Fisher, Ryan P Goepfert, Merrick I Ross, B Ashleigh Guadagnolo, Devarati Mitra

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: As patients with advanced melanoma live longer in the context of systemic therapy advancements, better strategies for durable control of bulky tumors are needed. In this study, we evaluated if dose-escalated hypofractionated radiation therapy (HFRT) can provide durable local control and improve tumor-associated symptoms in patients with unresectable or bulky metastatic melanoma for whom stereotactic ablative radiotherapy (RT) approaches are not feasible due to tumor size or location.

MATERIALS AND METHODS: We retrospectively reviewed 49 patients with unresectable or bulky metastatic melanoma who were treated to a total of 53 tumor targets with 12-17 fractions HFRT at …

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 …

Molecular And Clinical Features Of Pancreatic Acinar Cell Carcinoma: A Single-Institution Case Series, Ashwathy Balachandran Pillai, Mahmoud Yousef, Abdelrahman Yousef, Kristin D Alfaro-Munoz, Brandon G Smaglo, Jason Willis, Robert A Wolff, Shubham Pant, Mark W Hurd, Anirban Maitra, Huamin Wang, Matthew Harold G Katz, Laura R Prakash, Ching-Wei D Tzeng, Rebecca Snyder, Luca F Castelnovo, Anthony Chen, Andrey Kravets, Kseniia Kudriavtseva, Artem Tarasov, Kirill Kryukov, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

Objectives: Acinar cell carcinoma (ACC) accounts for about 1% of pancreatic cancers. The molecular and clinical features of ACC are less characterized than those of pancreatic ductal adenocarcinoma. Methods: We retrospectively evaluated the clinical and molecular features of ACC patients who underwent germline and/or somatic molecular testing at The University of Texas MD Anderson Cancer Center from 2008 to 2022 and two cases from 2023-2024 who underwent RNA and TME analysis by Boston Gene. Patient information was extracted from our institutional database with the approval of the Institutional Review Board. Results: We identified 16 patients with available molecular testing …

A Systematic Review On The Techniques, Long-Term Outcomes, And Complications Of Partial Breast Irradiation After Breast-Conserving Surgery For Early-Stage Breast Cancer, Jing Ning, Guanghui Cheng, Ning Wu

Faculty, Staff and Student Publications

To evaluate the efficacy and safety of four techniques of partial breast irradiation (PBI) including interstitial brachytherapy (ISBT), balloon-based brachytherapy (BBT), Intraoperative radiotherapy (IORT) and three-dimensional conformal radiotherapy (3DCRT) in the treatment for early-stage breast cancer patients after breast-conserving surgery. A systematic search was performed according to the Preferred Reporting Items of Systematic Reviews and Meta-analyses (PRISMA) guidelines using the PubMed, Embase, Cochrane Library and Web of Science databases. The inclusion criteria were clinical trials and observational studies that reported on outcome measures of principal PBI techniques. The methodological quality of the included research data was assessed using bias risk …

The P-Myh9/Usp22/Hif-1Α Axis Promotes Lenvatinib Resistance And Cancer Stemness In Hepatocellular Carcinoma, Qiaonan Shan, Lu Yin, Qifan Zhan, Jiongjie Yu, Sheng Pan, Jianyong Zhuo, Wei Zhou, Jiaqi Bao, Lincheng Zhang, Jiachen Hong, Jianan Xiang, Qingyang Que, Kangchen Chen, Shengjun Xu, Jingrui Wang, Yangbo Zhu, Bin He, Jingbang Wu, Haiyang Xie, Shusen Zheng, Tingting Feng, Sunbin Ling, Xiao Xu

Faculty, Staff and Student Publications

Lenvatinib is a targeted drug used for first-line treatment of hepatocellular carcinoma (HCC). A deeper insight into the resistance mechanism of HCC against lenvatinib is urgently needed. In this study, we aimed to dissect the underlying mechanism of lenvatinib resistance (LR) and provide effective treatment strategies. We established an HCC model of acquired LR. Cell counting, migration, self-renewal ability, chemoresistance and expression of stemness genes were used to detect the stemness of HCC cells. Molecular and biochemical strategies such as RNA-sequencing, immunoprecipitation, mass spectrometry and ubiquitination assays were used to explore the underlying mechanisms. Patient-derived HCC models and HCC samples …

Frequent Chd1 Deletions In Prostate Cancers Of African American Men Is Associated With Rapid Disease Progression, Miklos Diossy, Viktoria Tisza, Hua Li, Pranshu Sahgal, Jia Zhou, Zsofia Sztupinszki, Denise Young, Darryl Nousome, Claire Kuo, Jiji Jiang, Yongmei Chen, Reinhard Ebner, Isabell A Sesterhenn, Joel T Moncur, Gregory T Chesnut, Gyorgy Petrovics, Gregory T Klus, Gabor Valcz, Pier Vitale Nuzzo, Dezso Ribli, Judit Börcsök, Aurel Prosz, Marcin Krzystanek, Thomas Ried, David Szuts, Kinza Rizwan, Salma Kaochar, Shailja Pathania, Alan D D'Andrea, Istvan Csabai, Shiv Srivastava, Matthew L Freedman, Albert Dobi, Sandor Spisak, Zoltan Szallasi

Faculty, Staff and Students Publications

We analyzed genomic data from the prostate cancer of African- and European American men to identify differences contributing to racial disparity of outcome. We also performed FISH-based studies of Chromodomain helicase DNA-binding protein 1 (CHD1) loss on prostate cancer tissue microarrays. We created CHD1-deficient prostate cancer cell lines for genomic, drug sensitivity and functional homologous recombination (HR) activity analysis. Subclonal deletion of CHD1 was nearly three times as frequent in prostate tumors of African American than in European American men and it associates with rapid disease progression. CHD1 deletion was not associated with HR deficiency associated mutational signatures or HR …

Impact Of An Online Decision Support Tool For Ductal Carcinoma In Situ (Dcis) Using A Pre-Post Design (Aft-25), Elissa Ozanne, Kellyn Maves, Angela Tramontano, Thomas Lynch, Alastair Thompson, Ann Partridge, Elizabeth Frank, Deborah Collyar, Desiree Basila, Donna Pinto, Terry Hyslop, Marc Ryser, Shoshana Rosenberg, E. Shelley Hwang, Rinaa Punglia

Department of Pharmacology and Experimental Therapeutics Faculty Papers

BACKGROUND: The heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challenging and necessitates involved communication between patient and provider about the risks and benefits. We developed and investigated an interactive decision support tool (DST) designed to improve communication of treatment options and related long-term risks for individuals diagnosed with DCIS.

FINDINGS: The DST was developed for use by individuals aged > 40 years with DCIS and is based on a disease simulation model that integrates empirical data and …

Targeting Igf2 To Reprogram The Tumor Microenvironment For Enhanced Viro-Immunotherapy, Min Hye Noh, Jin Muk Kang, Alexandra A Miller, Grace Nguyen, Minxin Huang, Ji Seon Shim, Alberto J Bueso-Perez, Sara A Murphy, Kimberly A Rivera-Caraballo, Yoshihiro Otani, Eunju Kim, Seung-Hee Yoo, Yuanqing Yan, Yeshavanth Banasavadi-Siddegowda, Hiroshi Nakashima, E Antonio Chiocca, Balveen Kaur, Zhongming Zhao, Tae Jin Lee, Ji Young Yoo

Faculty, Staff and Student Publications

BACKGROUND: The FDA approval of oncolytic herpes simplex-1 virus (oHSV) therapy underscores its therapeutic promise and safety as a cancer immunotherapy. Despite this promise, the current efficacy of oHSV is significantly limited to a small subset of patients largely due to the resistance in tumor and tumor microenvironment (TME).

METHODS: RNA sequencing (RNA-Seq) was used to identify molecular targets of oHSV resistance. Intracranial human and murine glioma or breast cancer brain metastasis (BCBM) tumor-bearing mouse models were employed to elucidate the mechanism underlying oHSV therapy-induced resistance.

RESULTS: Transcriptome analysis identified IGF2 as one of the top-secreted proteins following oHSV treatment. …