Biomedical Informatics Commons^™

Inferring Super-Resolution Tissue Architecture By Integrating Spatial Transcriptomics With Histology, Daiwei Zhang, Amelia Schroeder, Hanying Yan, Haochen Yang, Jian Hu, Michelle Y Y Lee, Kyung S Cho, Katalin Susztak, George X Xu, Michael D Feldman, Edward B Lee, Emma E Furth, Linghua Wang, Mingyao Li

Faculty, Staff and Student Publications

Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate molecular maps of cells within tissues. Here we present iStar, a method based on hierarchical image feature extraction that integrates ST data and high-resolution histology images to predict spatial gene expression with super-resolution. Our method enhances gene expression resolution to near-single-cell levels in ST and enables gene expression prediction in tissue sections where only histology images are available.

Comparing The Diagnostic Yield Of Germline Exome Versus Panel Sequencing In The Diverse Population Of The Texas Kidscanseq Pediatric Cancer Study, Lauren R Desrosiers-Battu, Tao Wang, Jacquelyn Reuther, George Miles, Hongzheng Dai, Eunji Jo, Heidi Russell, Robin Raesz-Martinez, Alva Recinos, Stephanie Gutierrez, Amy Thomas, Emily Berenson, Jessica Corredor, Kimberly Nugent, Rachel Wyatt Castillo, Rebecca Althaus, Rebecca Littlejohn, Shawn Gessay, Gail Tomlinson, Jonathan Gill, Juan Carlos Bernini, Kelly Vallance, Timothy Griffin, Sarah Scollon, Frank Y Lin, Christine Eng, Shashikant Kulkarni, Susan G Hilsenbeck, Angshumoy Roy, Amy L Mcguire, D Williams Parsons, Sharon E Plon

Faculty, Staff and Student Publications

Purpose: To evaluate the relative diagnostic yield of clinical germline genomic tests in a diverse pediatric cancer population.

Patients and methods: The KidsCanSeq study enrolled pediatric cancer patients across six sites in Texas. Germline analysis included both exome sequencing and a therapy-focused pediatric cancer gene panel. The results were categorized by participants demographics, the presence of pathogenic or likely pathogenic (P/LP) variants, and variants of uncertain significance (VUS) in cancer predisposition genes (CPGs). Pediatric actionable CPGs were defined as those with cancer surveillance recommendations during childhood.

Results: Cancer P/LP variants were reported by at least one platform in 103 of …

Micronuclear Collapse From Oxidative Damage, Melody Di Bona, Yanyang Chen, Albert S Agustinus, Alice Mazzagatti, Mercedes A Duran, Matthew Deyell, Daniel Bronder, James Hickling, Christy Hong, Lorenzo Scipioni, Giulia Tedeschi, Sara Martin, Jun Li, Aušrinė Ruzgaitė, Nadeem Riaz, Parin Shah, Edridge K D'Souza, D Zack Brodtman, Simone Sidoli, Bill Diplas, Manisha Jalan, Nancy Y Lee, Alban Ordureau, Benjamin Izar, Ashley M Laughney, Simon Powell, Enrico Gratton, Stefano Santaguida, John Maciejowski, Peter Ly, Thomas M Jeitner, Samuel F Bakhoum

Faculty, Staff and Student Publications

Chromosome-containing micronuclei are a hallmark of aggressive cancers. Micronuclei frequently undergo irreversible collapse, exposing their enclosed chromatin to the cytosol. Micronuclear rupture catalyzes chromosomal rearrangements, epigenetic abnormalities, and inflammation, yet mechanisms safeguarding micronuclear integrity are poorly understood. In this study, we found that mitochondria-derived reactive oxygen species (ROS) disrupt micronuclei by promoting a noncanonical function of charged multivesicular body protein 7 (CHMP7), a scaffolding protein for the membrane repair complex known as endosomal sorting complex required for transport III (ESCRT-III). ROS retained CHMP7 in micronuclei while disrupting its interaction with other ESCRT-III components. ROS-induced cysteine oxidation stimulated CHMP7 oligomerization and …

Successful Management Of Pre-Existing Psoriatic Arthritis Through Targeting The Il-23/Il-17 Axis In Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy: A Case Series, Yuanteng Jeff Li, Pavlos Msaouel, Matthew Campbell, Patrick Hwu, Adi Diab, Sang T Kim

Faculty, Staff and Student Publications

BACKGROUND: Immune checkpoint inhibitors (ICIs) have significantly improved outcomes for patients with cancer. However, these therapies are associated with adverse events including de novo immune-related adverse events or flare of pre-exiting autoimmune disorders. Up to 80% of patients with cancer and pre-existing psoriasis (PsO) or psoriatic arthritis (PsA) experience PsO/PsA flare after initiating ICIs. Targeting the interleukin (IL)-17/IL-23 axis is a mainstream of the PsO/PsA treatment. However, whether this treatment can effectively control PsO/PsA with ICI exposure while preserving anti-tumour efficacy remains unknown.

CASE REPORTS: We report three patients with PsA and cancer, who received ICIs for their cancer treatment. …

Meti: Deep Profiling Of Tumor Ecosystems By Integrating Cell Morphology And Spatial Transcriptomics, Jiahui Jiang, Yunhe Liu, Jiangjiang Qin, Jianfeng Chen, Jingjing Wu, Melissa P Pizzi, Rossana Lazcano, Kohei Yamashita, Zhiyuan Xu, Guangsheng Pei, Kyung Serk Cho, Yanshuo Chu, Ansam Sinjab, Fuduan Peng, Xinmiao Yan, Guangchun Han, Ruiping Wang, Enyu Dai, Yibo Dai, Bogdan A Czerniak, Andrew Futreal, Anirban Maitra, Alexander Lazar, Humam Kadara, Amir A Jazaeri, Xiangdong Cheng, Jaffer Ajani, Jianjun Gao, Jian Hu, Linghua Wang

Faculty, Staff and Student Publications

Recent advances in spatial transcriptomics (ST) techniques provide valuable insights into cellular interactions within the tumor microenvironment (TME). However, most analytical tools lack consideration of histological features and rely on matched single-cell RNA sequencing data, limiting their effectiveness in TME studies. To address this, we introduce the Morphology-Enhanced Spatial Transcriptome Analysis Integrator (METI), an end-to-end framework that maps cancer cells and TME components, stratifies cell types and states, and analyzes cell co-localization. By integrating spatial transcriptomics, cell morphology, and curated gene signatures, METI enhances our understanding of the molecular landscape and cellular interactions within the tissue. We evaluate the performance …

Sexannodb, A Knowledgebase Of Sex-Specific Regulations From Multi-Omics Data Of Human Cancers, Mengyuan Yang, Yuzhou Feng, Jiajia Liu, Hong Wang, Sijia Wu, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Background

Sexual differences across molecular levels profoundly impact cancer biology and outcomes. Patient gender significantly influences drug responses, with divergent reactions between men and women to the same drugs. Despite databases on sex differences in human tissues, understanding regulations of sex disparities in cancer is limited. These resources lack detailed mechanistic studies on sex-biased molecules.

Methods

In this study, we conducted a comprehensive examination of molecular distinctions and regulatory networks across 27 cancer types, delving into sex-biased effects. Our analyses encompassed sex-biased competitive endogenous RNA networks, regulatory networks involving sex-biased RNA binding protein-exon skipping events, sex-biased transcription factor-gene regulatory networks, …

Transcriptome Profiling Of Pediatric Extracranial Solid Tumors And Lymphomas Enables Rapid Low-Cost Diagnostic Classification, Kofi B Opoku, Teresa Santiago, Priya Kumar, Sophia M Roush, Yuri Fedoriw, Tamiwe Tomoka, Vasiliki Leventaki, Larissa V Furtado, Nickhill Bhakta, Thomas B Alexander, Jeremy R Wang

Faculty, Staff and Student Publications

Approximately 80% of pediatric tumors occur in low- and middle-income countries (LMIC), where diagnostic tools essential for treatment decisions are often unavailable or incomplete. Development of cost-effective molecular diagnostics will help bridge the cancer diagnostic gap and ultimately improve pediatric cancer outcomes in LMIC settings. We investigated the feasibility of using nanopore whole transcriptome sequencing on formalin-fixed paraffin embedded (FFPE)-derived RNA and a composite machine learning model for pediatric solid tumor diagnosis. Transcriptome cDNA sequencing was performed on a heterogenous set of 221 FFPE and 32 fresh frozen pediatric solid tumor and lymphoma specimens on Oxford Nanopore Technologies' sequencing platforms. …

Association Of Social Determinants, Lifestyle, And Metabolic Factors With Mortality In Chinese Adults: A Nationwide 10-Year Prospective Cohort Study, Jieli Lu, Mian Li, Jiang He, Yu Xu, Ruizhi Zheng, Jie Zheng, Guijun Qin, Yingfen Qin, Yuhong Chen, Xulei Tang, Zhen Ye, Min Xu, Tiange Wang, Lixin Shi, Qing Su, Xuefeng Yu, Li Yan, Zhiyun Zhao, Qin Wan, Gang Chen, Zhengnan Gao, Guixia Wang, Feixia Shen, Xuejiang Gu, Zuojie Luo, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Hong Qiao, Yinfei Zhang, Tianshu Zeng, Chunyan Hu, Qiuyu Cao, Xiaojing Jia, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Hongyan Qi, Xueyan Wu, Di Zhang, Meng Dai, Donghui Li, Shenghan Lai, Lulu Chen, Jiajun Zhao, Yiming Mu, Weiguo Hu, Guang Ning, Ruying Hu, Yufang Bi, Weiqing Wang, 4c Study Group

Faculty, Staff and Student Publications

Nationwide estimates of the impact of common modifiable risk factors on mortality remain crucial. We aim to assess the influence of social determinants, lifestyle, and metabolic factors on mortality in 174,004 adults aged ≥40 years from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. We reveal that 17 modifiable factors are independently associated with mortality, accounting for 64.8% of all-cause mortality, 77.4% of cardiovascular mortality, and 44.8% of cancer mortality. Low education emerges as the leading factor for both all-cause and cancer mortality, while hypertension is predominant for cardiovascular mortality. Moreover, low gross domestic product per capita and high …

Hybridizing Mechanistic Modeling And Deep Learning For Personalized Survival Prediction After Immune Checkpoint Inhibitor Immunotherapy, Joseph D Butner, Prashant Dogra, Caroline Chung, Eugene J Koay, James W Welsh, David S Hong, Vittorio Cristini, Zhihui Wang

Faculty, Staff and Student Publications

We present a study where predictive mechanistic modeling is combined with deep learning methods to predict individual patient survival probabilities under immune checkpoint inhibitor (ICI) immunotherapy. This hybrid approach enables prediction based on both measures that are calculable from mechanistic models of key mechanisms underlying ICI therapy that may not be directly measurable in the clinic and easily measurable quantities or patient characteristics that are not always readily incorporated into predictive mechanistic models. A deep learning time-to-event predictive model trained on a hybrid mechanistic + clinical data set from 93 patients achieved higher per-patient predictive accuracy based on event-time concordance, …

Institution-Wide Retreats Foster Organizational Learning And Action At A Comprehensive Cancer Center, Benjamin R Schrank, John A Fuller, Colleen M Gallagher, Van K Morris, Emma B Holliday, Kelly Merriman, Lynne Nguyen, Lou Weaver, Kelly Nelson, Elizabeth Chiao, Albert C Koong, Ernest Hawk, Shine Chang

Faculty, Staff and Student Publications

Providing safe and informed healthcare for sexual and gender minority (SGM) individuals with cancer is stymied by the lack of sexual orientation and gender identity (SOGI) data reliably available in health records and by insufficient training for staff. Approaches that support institutional learning, especially around sensitive topics, are essential for hospitals seeking to improve practices impacting patient safety and research. We engineered annual institutional retreats to identify and unify stakeholders, promote awareness of gaps and needs, identify initiatives, minimize redundant projects, and coordinate efforts that promote improvements in SGM cancer care, education, and research. The 2022 and 2023 retreats employed …

Neoantigen-Specific Cytotoxic Tr1 Cd4 T Cells Suppress Cancer Immunotherapy, Hussein Sultan, Yoshiko Takeuchi, Jeffrey P Ward, Naveen Sharma, Tian-Tian Liu, Vladimir Sukhov, Maria Firulyova, Yuang Song, Samuel Ameh, Simone Brioschi, Darya Khantakova, Cora D Arthur, J Michael White, Heather Kohlmiller, Andres M Salazar, Robert Burns, Helio A Costa, Kelly D Moynihan, Yik Andy Yeung, Ivana Djuretic, Ton N Schumacher, Kathleen C F Sheehan, Marco Colonna, James P Allison, Kenneth M Murphy, Maxim N Artyomov, Robert D Schreiber

Faculty, Staff and Student Publications

CD4+ T cells can either enhance or inhibit tumour immunity. Although regulatory T cells have long been known to impede antitumour responses1-5, other CD4+ T cells have recently been implicated in inhibiting this response6,7. Yet, the nature and function of the latter remain unclear. Here, using vaccines containing MHC class I (MHC-I) neoantigens (neoAgs) and different doses of tumour-derived MHC-II neoAgs, we discovered that whereas the inclusion of vaccines with low doses of MHC-II-restricted peptides (LDVax) promoted tumour rejection, vaccines containing high doses of the same MHC-II neoAgs (HDVax) inhibited rejection. Characterization of the inhibitory cells induced by HDVax identified …

Antitumor Activity Of A Novel Lair1 Antagonist In Combination With Anti-Pd1 To Treat Collagen-Rich Solid Tumors, Bertha L Rodriguez, Jiawei Huang, Laura Gibson, Jared J Fradette, Hung-I H Chen, Kikuye Koyano, Czrina Cortez, Betty Li, Carmence Ho, Amir M Ashique, Vicky Y Lin, Suzanne Crawley, Julie M Roda, Peirong Chen, Bin Fan, Jeong Kim, James Sissons, Jonathan Sitrin, Daniel D Kaplan, Don L Gibbons, Lee B Rivera

Faculty, Staff and Student Publications

We recently reported that resistance to PD-1 blockade in a refractory lung cancer-derived model involved increased collagen deposition and the collagen-binding inhibitory receptor leukocyte-associated immunoglobulin-like receptor 1 (LAIR1). Thus, we hypothesized that LAIR1 and collagen cooperated to suppress therapeutic response. In this study, we report that LAIR1 is associated with tumor stroma and is highly expressed by intratumoral myeloid cells in both human tumors and mouse models of cancer. Stroma-associated myeloid cells exhibit a suppressive phenotype and correlate with LAIR1 expression in human cancer. NGM438, a novel humanized LAIR1 antagonist mAb, elicits myeloid inflammation and allogeneic T-cell responses by binding …

Patient-Derived Organoids As Therapy Screening Platforms In Cancer Patients, Danial Khorsandi, Jia-Wei Yang, Samuel Foster, Safoora Khosravi, Negar Hosseinzadeh Kouchehbaghi, Fahimeh Zarei, Yun Bin Lee, Farhana Runa, Ankit Gangrade, Leon Voskanian, Darbaz Adnan, Yangzhi Zhu, Zhaohui Wang, Vadim Jucaud, Mehmet Remzi Dokmeci, Xiling Shen, Faraz Bishehsari, Jonathan A Kelber, Ali Khademhosseini, Natan Roberto De Barros

Faculty, Staff and Student Publications

Patient-derived organoids (PDOs) developed ex vivo and in vitro are increasingly used for therapeutic screening. They provide a more physiologically relevant model for drug discovery and development compared to traditional cell lines. However, several challenges remain to be addressed to fully realize the potential of PDOs in therapeutic screening. This paper summarizes recent advancements in PDO development and the enhancement of PDO culture models. This is achieved by leveraging materials engineering and microfabrication technologies, including organs-on-a-chip and droplet microfluidics. Additionally, this work discusses the application of PDOs in therapy screening to meet diverse requirements and overcome bottlenecks in cancer treatment. …

Molecular Pathways And Cellular Subsets Associated With Adverse Clinical Outcomes In Overlapping Immune-Related Myocarditis And Myositis, Bilal A Siddiqui, Nicolas L Palaskas, Sreyashi Basu, Yibo Dai, Zhong He, Shalini S Yadav, James P Allison, Rahul A Sheth, Sudhakar Tummala, Maximilian Buja, Meenakshi B Bhattacharjee, Cezar Iliescu, Anishia Rawther-Karedath, Anita Deswal, Linghua Wang, Padmanee Sharma, Sumit K Subudhi

Faculty, Staff and Student Publications

Immune checkpoint therapies (ICT) can induce life-threatening immune-related adverse events, including myocarditis and myositis, which are rare but often concurrent. The molecular pathways and immune subsets underlying these toxicities remain poorly understood. To address this need, we performed single-cell RNA sequencing of heart and skeletal muscle biopsies obtained from living patients with cancers treated with ICTs and admitted to the hospital with myocarditis and/or myositis (overlapping myocarditis plus myositis, n = 10; myocarditis-only, n = 1) or ICT-exposed patients ruled out for toxicity utilized as controls (n = 9). All biopsies were obtained within 96 hours of clinical presentation. Analyses …

Why Do Patients With Cancer Die?, Adrienne Boire, Katy Burke, Thomas R Cox, Theresa Guise, Mariam Jamal-Hanjani, Tobias Janowitz, Rosandra Kaplan, Rebecca Lee, Charles Swanton, Matthew G Vander Heiden, Erik Sahai

Faculty, Staff and Student Publications

Cancer is a major cause of global mortality, both in affluent countries and increasingly in developing nations. Many patients with cancer experience reduced life expectancy and have metastatic disease at the time of death. However, the more precise causes of mortality and patient deterioration before death remain poorly understood. This scarcity of information, particularly the lack of mechanistic insights, presents a challenge for the development of novel treatment strategies to improve the quality of, and potentially extend, life for patients with late-stage cancer. In addition, earlier deployment of existing strategies to prolong quality of life is highly desirable. In this …

Markov Models For Clinical Decision-Making In Radiation Oncology: A Systematic Review, Lucas B Mccullum, Aysenur Karagoz, Cem Dede, Raul Garcia, Fatemeh Nosrat, Mehdi Hemmati, Seyedmohammadhossein Hosseinian, Andrew J Schaefer, Clifton D Fuller

Faculty, Staff and Student Publications

The intrinsic stochasticity of patients' response to treatment is a major consideration for clinical decision-making in radiation therapy. Markov models are powerful tools to capture this stochasticity and render effective treatment decisions. This paper provides an overview of the Markov models for clinical decision analysis in radiation oncology. A comprehensive literature search was conducted within MEDLINE using PubMed, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only studies published from 2000 to 2023 were considered. Selected publications were summarized in two categories: (i) studies that compare two (or more) fixed treatment policies using Monte Carlo simulation …

Why Do Patients With Cancer Die?, Adrienne Boire, Katy Burke, Thomas R Cox, Theresa Guise, Mariam Jamal-Hanjani, Tobias Janowitz, Rosandra Kaplan, Rebecca Lee, Charles Swanton, Matthew G Vander Heiden, Erik Sahai

Faculty, Staff and Student Publications

Cancer is a major cause of global mortality, both in affluent countries and increasingly in developing nations. Many patients with cancer experience reduced life expectancy and have metastatic disease at the time of death. However, the more precise causes of mortality and patient deterioration before death remain poorly understood. This scarcity of information, particularly the lack of mechanistic insights, presents a challenge for the development of novel treatment strategies to improve the quality of, and potentially extend, life for patients with late-stage cancer. In addition, earlier deployment of existing strategies to prolong quality of life is highly desirable. In this …

Chick Embryo Chorioallantoic Membrane As A Platform For Assessing The In Vivo Efficacy Of Chimeric Antigen Receptor T-Cell Therapy In Solid Tumors, Allison J Nipper, Emilie A K Warren, Kershena S Liao, Hsuan-Chen Liu, Chieko Michikawa, Caroline E Porter, Gabrielle A Wells, Mariana Villanueva, Fabio Henrique Brasil Da Costa, Ratna Veeramachaneni, Hugo Villanueva, Masataka Suzuki, Andrew G Sikora

Faculty, Staff and Student Publications

The fertilized chicken egg chorioallantoic membrane (CAM), a highly vascularized membrane nourishing the developing embryo, also supports rapid growth of three-dimensional vascularized tumors from engrafted cells and tumor explants. Because murine xenograft models suffer limitations of time, cost, and scalability, we propose CAM tumors as a rapid, efficient screening tool for assessing anti-tumor efficacy of chimeric Ag receptor (CAR) T cells against solid tumors. We tested the efficacy of human epidermal growth factor receptor 2 (HER2)-specific CAR T cells against luminescent, HER2-expressing (FaDu, SCC-47) or HER2-negative (MDA-MB-468) CAM-engrafted tumors. Three days after tumor engraftment, HER2-specific CAR T cells were applied …

Secondary Endpoint Utilization And Publication Rate Among Phase Iii Oncology Trials, Esther J Beck, Alexander D Sherry, Marcus A Florez, Ramez Kouzy, Joseph Abi Jaoude, Timothy A Lin, Avital M Miller, Adina H Passy, Gabrielle S Kupferman, Roshal R Patel, Fumiko Chino, Victoria Serpas Higbie, Christine M Parseghian, Michael J Overman, Bruce D Minsky, Charles R Thomas, Chad Tang, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

UNLABELLED: Secondary endpoints (SEP) provide crucial information in the interpretation of clinical trials, but their features are not yet well understood. Thus, we sought to empirically characterize the scope and publication rate of SEPs among late-phase oncology trials. We assessed SEPs for each randomized, published phase III oncology trial across all publications and ClinicalTrials.gov, performing logistic regressions to evaluate associations between trial characteristics and SEP publication rates. After screening, a total of 280 trials enrolling 244,576 patients and containing 2,562 SEPs met the inclusion criteria. Only 22% of trials (62/280) listed all SEPs consistently between ClinicalTrials.gov and the trial protocol. …

Adaptation Of The Protein Misfolding Cyclic Amplification (Pmca) Technique For The Screening Of Anti-Prion Compounds, Katherine Do, Rebeca Benavente, Celso S G Catumbela, Uffaf Khan, Carlos Kramm, Claudio Soto, Rodrigo Morales

Faculty, Staff and Student Publications

Prion diseases result from the misfolding of the physiological prion protein (PrPC) to a pathogenic conformation (PrPSc). Compelling evidence indicates that prevention and/or reduction of PrPSc replication are promising therapeutic strategies against prion diseases. However, the existence of different PrPSc conformations (or strains) associated with disease represents a major problem when identifying anti-prion compounds. Efforts to identify strain-specific anti-prion molecules are limited by the lack of biologically relevant high-throughput screening platforms to interrogate compound libraries. Here, we describe adaptations to the protein misfolding cyclic amplification (PMCA) technology (able to faithfully replicate PrPSc strains) that increase its throughput to facilitate the …

The Significant Role Of Amino Acid Metabolic Reprogramming In Cancer, Xiaohong Liu, Bo Ren, Jie Ren, Minzhi Gu, Lei You, Yupei Zhao

Faculty, Staff and Student Publications

Amino acid metabolism plays a pivotal role in tumor microenvironment, influencing various aspects of cancer progression. The metabolic reprogramming of amino acids in tumor cells is intricately linked to protein synthesis, nucleotide synthesis, modulation of signaling pathways, regulation of tumor cell metabolism, maintenance of oxidative stress homeostasis, and epigenetic modifications. Furthermore, the dysregulation of amino acid metabolism also impacts tumor microenvironment and tumor immunity. Amino acids can act as signaling molecules that modulate immune cell function and immune tolerance within the tumor microenvironment, reshaping the anti-tumor immune response and promoting immune evasion by cancer cells. Moreover, amino acid metabolism can …

Patients' Perceptions Of Using Technology For Self-Reporting Cancer Medication Safety Events From Home, Katie Gahn, Misun Hwang, Youmin Cho, Heidi Mason, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become "vigilant partners" in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients' perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in …

First-In-Human Dose Escalation Trial To Evaluate The Clinical Safety And Efficacy Of An Anti-Magea1 Autologous Tcr-Transgenic T Cell Therapy In Relapsed And Refractory Solid Tumors, Martin Wermke, Tobias A W Holderried, Jason John Luke, Van K Morris, Winfried H Alsdorf, Katrin Wetzko, Borje S Andersson, Ignacio I Wistuba, Edwin R Parra, Mohammad B Hossain, Sandra Grund-Gröschke, Katrin Aslan, Arun Satelli, Anantha Marisetty, Swapna Satam, Mamta Kalra, Jens Hukelmann, M Alper Kursunel, Karine Pozo, Andreas Acs, Linus Backert, Melissa Baumeister, Sebastian Bunk, Claudia Wagner, Oliver Schoor, Ali S Mohamed, Andrea Mayer-Mokler, Norbert Hilf, Delfi Krishna, Steffen Walter, Apostolia M Tsimberidou, Cedrik M Britten

Faculty, Staff and Student Publications

RATIONALE OF THE TRIAL: Although the use of engineered T cells in cancer immunotherapy has greatly advanced the treatment of hematological malignancies, reaching meaningful clinical responses in the treatment of solid tumors is still challenging. We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.

TRIAL DESIGN: The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of …

Patient-Reported Quality Of Life At Diagnosis In Adolescent And Young Adults With Cancer, Goldy C George, Clark Andersen, Xiaohui Tang, Elizabeth Rodriguez, Midhat Jafry, Maria C Swartz, Sairah Ahmed, Carlos H Barcenas, J Andrew Livingston, Michael E Roth, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

Background: The overall landscape of health-related quality of life (HRQoL) has not been thoroughly investigated in adolescents and young adults (AYAs) with cancer. Data are also lacking on how well HRQoL at the time of cancer diagnosis can prognosticate long-term survival in AYA survivors.

Patients and methods: We included 3,497 survivors of AYA cancer (age 15-39 years at diagnosis) who completed the Short-Form 12 Health Survey (SF-12) HRQoL questionnaire at diagnosis. Physical component summary (PCS) and mental component summary (MCS) scores were generated, with scores < 50 representing poor HRQoL. Differences in HRQoL by patient characteristics and tumor type were investigated using violin plots and t tests/analysis of variance. The effect of HRQoL on overall survival was assessed using Kaplan-Meier plots and Cox proportional hazards models.

Results: Overall mean PCS and MCS scores in this racially/ethnically diverse cohort (64% White, 19% …

A Crisis In Clinical Research, David S Hong, Patricia Lorusso, Mario Sznol

Faculty, Staff and Student Publications

The clinical research pipeline is critical to ensuring continued development of novel treatments that can offer patients with cancer safe and effective options. Unfortunately, progress has slowed since the COVID-19 pandemic due to uncovered, systemic inefficiencies across critical processes. Towards initiating discussion on how to reinvigorate clinical research, the Society for Immunotherapy of Cancer (SITC) hosted a virtual summit that characterized issues and formed potential solutions. This commentary serves to highlight the crisis facing clinical research as well as stimulate field-wide discussion on how to better serve patients into the future.

Intratumoral Immune Triads Are Required For Immunotherapy-Mediated Elimination Of Solid Tumors, Gabriel Espinosa-Carrasco, Edison Chiu, Aurora Scrivo, Paul Zumbo, Asim Dave, Doron Betel, Sung Wook Kang, Hee-Jin Jang, Matthew D Hellmann, Bryan M Burt, Hyun-Sung Lee, Andrea Schietinger

Faculty, Staff and Students Publications

Tumor-specific CD8+ T cells are frequently dysfunctional and unable to halt tumor growth. We investigated whether tumor-specific CD4+ T cells can be enlisted to overcome CD8+ T cell dysfunction within tumors. We find that the spatial positioning and interactions of CD8+ and CD4+ T cells, but not their numbers, dictate anti-tumor responses in the context of adoptive T cell therapy as well as immune checkpoint blockade (ICB): CD4+ T cells must engage with CD8+ T cells on the same dendritic cell during the effector phase, forming a three-cell-type cluster (triad) to license CD8+ T cell cytotoxicity and cancer cell elimination. …

Lost In The Plot: Missing Visual Elements In Kaplan-Meier Plots Of Phase Iii Oncology Trials, Alexander D Sherry, Pavlos Msaouel, Ramez Kouzy, Joseph Abi Jaoude, Timothy A Lin, Cullen M Taniguchi, Clifton David Fuller, Bruce Minsky, Ethan B Ludmir

Faculty, Staff and Student Publications

Missing visual elements (MVE) in Kaplan-Meier (KM) curves can misrepresent data, preclude curve reconstruction, and hamper transparency. This study evaluated KM plots of phase III oncology trials. MVE were defined as an incomplete y-axis range or missing number at risk table in a KM curve. Surrogate endpoint KM curves were additionally evaluated for complete interpretability, defined by (1) reporting the number of censored patients and (2) correspondence of the disease assessment interval with the number at risk interval. Among 641 trials enrolling 518 235 patients, 116 trials (18%) had MVE in KM curves. Industry sponsorship, larger trials, and more recently …

Impact Of Isotype On The Mechanism Of Action Of Agonist Anti-Ox40 Antibodies In Cancer: Implications For Therapeutic Combinations, Jane E Willoughby, Lang Dou, Sabyasachi Bhattacharya, Heather Jackson, Laura Seestaller-Wehr, David Kilian, Laura Bover, Kui S Voo, Kerry L Cox, Tom Murray, Mel John, Hong Shi, Paul Bojczuk, Junping Jing, Heather Niederer, Andrew J Shepherd, Laura Hook, Stephanie Hopley, Tatyana Inzhelevskaya, Chris A Penfold, C Ian Mockridge, Vikki English, Sara J Brett, Roopa Srinivasan, Christopher Hopson, James Smothers, Axel Hoos, Elaine Paul, Stephen L Martin, Peter J Morley, Niranjan Yanamandra, Mark S Cragg

Faculty, Staff and Student Publications

BACKGROUND: OX40 has been widely studied as a target for immunotherapy with agonist antibodies taken forward into clinical trials for cancer where they are yet to show substantial efficacy. Here, we investigated potential mechanisms of action of anti-mouse (m) OX40 and anti-human (h) OX40 antibodies, including a clinically relevant monoclonal antibody (mAb) (GSK3174998) and evaluated how isotype can alter those mechanisms with the aim to develop improved antibodies for use in rational combination treatments for cancer.

METHODS: Anti-mOX40 and anti-hOX40 mAbs were evaluated in a number of in vivo models, including an OT-I adoptive transfer immunization model in hOX40 knock-in …

Context-Dependent T-Box Transcription Factor Family: From Biology To Targeted Therapy, Siwen Li, Xiangyuan Luo, Mengyu Sun, Yijun Wang, Zerui Zhang, Junqing Jiang, Dian Hu, Jiaqian Zhang, Zhangfan Wu, Yufei Wang, Wenjie Huang, Limin Xia

Faculty, Staff and Student Publications

T-BOX factors belong to an evolutionarily conserved family of transcription factors. T-BOX factors not only play key roles in growth and development but are also involved in immunity, cancer initiation, and progression. Moreover, the same T-BOX molecule exhibits different or even opposite effects in various developmental processes and tumor microenvironments. Understanding the multiple roles of context-dependent T-BOX factors in malignancies is vital for uncovering the potential of T-BOX-targeted cancer therapy. We summarize the physiological roles of T-BOX factors in different developmental processes and their pathological roles observed when their expression is dysregulated. We also discuss their regulatory roles in tumor …

Genetically Engineering Glycolysis In T Cells Increases Their Antitumor Function, Raphaëlle Toledano Zur, Orna Atar, Tilda Barliya, Shiran Hoogi, Ifat Abramovich, Eyal Gottlieb, Noga Ron-Harel, Cyrille J Cohen

Faculty, Staff and Student Publications

BACKGROUND: T cells play a central role in the antitumor response. However, they often face numerous hurdles in the tumor microenvironment, including the scarcity of available essential metabolites such as glucose and amino acids. Moreover, cancer cells can monopolize these resources to thrive and proliferate by upregulating metabolite transporters and maintaining a high metabolic rate, thereby outcompeting T cells.

METHODS: Herein, we sought to improve T-cell antitumor function in the tumor vicinity by enhancing their glycolytic capacity to better compete with tumor cells. To achieve this, we engineered human T cells to express a key glycolysis enzyme, phosphofructokinase, in conjunction …