Genetic Phenomena Commons^™

Systematic Literature Review Of Intravenous Versus Subcutaneous Administration Of Oncology Therapies: A Clinical, Economic And Patient Perspective, Saby George, Maria T Bourlon, Michael J Overman, Matt Dixon, Karishma Shelley, Kristen J Markus, Rachel M Kewley, Sophie I Pope, Laurence Albigès

Faculty, Staff and Student Publications

Subcutaneous (SC) formulations of oncology therapies offer a potentially less time-consuming and more convenient alternative to intravenous (IV) administration. However, exploring the potential benefits of SC over IV administration from a broader perspective is necessary to understand the larger-scale impact. In this systematic literature review (SLR), we evaluated the efficacy, pharmacokinetics/pharmacodynamics (PK/PD), safety, and patient and healthcare provider (HCP) preference for SC/IV oncology therapies, along with differences in patient outcomes, costs, and time requirements. The SLR was conducted in January 2019 and updated in May 2023, and included 169 publications. Studies providing comparative results between IV and SC formulations regarding …

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 …

Expression Graph Network Framework For Biomarker Discovery, Yang Liu, Jason Huse, Kasthuri Kannan

Faculty, Staff and Student Publications

Biomarker discovery for complex diseases, such as cancer, hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data-a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the expression graph network framework (EGNF). This cutting-edge graph-based approach integrates graph neural networks with network-based feature engineering to enhance the predictive identification of biomarkers. EGNF constructs biologically informed networks by combining gene expression data and clinical attributes within a graph database, utilizing hierarchical clustering to generate dynamic, patient-specific representations of molecular interactions. …

The Role Of Recruited Adipose Stromal Cells And Their Fibroblastic Differentiation In Cancer, Lingyi Cai, Mikhail G Kolonin, Dimitris Anastassiou

Faculty, Staff and Student Publications

Adipose stromal cells (ASCs) are perivascular mesenchymal progenitors of adipose tissue. In cancer patients, ASCs can mobilize and migrate to the tumor, where they subsequently play an important role in cancer progression. This biological process involves the conversion of recruited ASCs into cancer-associated fibroblasts (CAFs). ASC-derived CAFs influence the tumor microenvironment through extracellular matrix remodeling, vascularization, and immunomodulation. These and other processes mediated by secreted paracrine factors also affect gene expression in carcinoma cells to promote the epithelial-mesenchymal transition (EMT), metabolic adaptation, survival, and invasiveness of cancer cells. ASC-derived CAFs can enhance tumor aggressiveness, accounting in part for the link …

Reproducibility Of Statistically Significant Phase Iii Oncology Trials: An In Silico Meta-Epidemiological Analysis, Alexander D Sherry, Pavlos Msaouel, Avital M Miller, Timothy A Lin, Joseph Abi Jaoude, Ramez Kouzy, Adina H Passy, Tomer Meirson, Nikolaos Ignatiadis, Zachary R Mccaw, Erik Van Zwet, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: The conventional assumption that P values ≤ 0.05 imply reproducible effects has come under recent criticism. This concern is particularly relevant in oncology, as phase III oncology trials, which directly inform practice, are usually not repeated. Using advanced modeling techniques, we investigated the relationship between P values and reproducibility in oncology.

Methods: We obtained the signal-to-noise ratio distribution in phase III oncology using outcomes from 632 two-arm superiority trials enrolling 496,219 patients. With this distribution, we estimated successful replication probability as the probability that a replicate trial, having the same design, effect size, and standard error, would have a …

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 …

Mathematical Modeling And Association Analysis Decipher The Impact Of The Gut Microbiome On Cancer Immunotherapy, Andreas G Hadjigeorgiou, Constantinos Harkos, Aditya K Mishra, Golnaz Morad, Sarah B Johnson, Nadim J Ajami, Jennifer A Wargo, Lance L Munn, Triantafyllos Stylianopoulos, Rakesh K Jain

Faculty, Staff and Student Publications

The gut microbiome has emerged as a key regulator of response to cancer immunotherapy. However, a better understanding of the underlying mechanisms by which the microbiome influences immunotherapy is needed to identify strategies to optimize outcomes. To this end, we developed a mathematical model to obtain insights into the effect of the microbiome on the immune system and immunotherapy response. This model was based on (i) gut microbiome data derived from preclinical studies, (ii) mathematical modeling of the antitumor immune response, (iii) association analysis of microbiome profiles with model-predicted immune profiles, and (iv) statistical models that correlate model parameters with …

Hippocampal Avoidance During Prophylactic Cranial Irradiation For Patients With Small Cell Lung Cancer: Randomized Phase Ii/Iii Trial Nrg-Cc003, Vinai Gondi, Stephanie L Pugh, Minesh P Mehta, Jeffrey S Wefel, Wolfgang A Tomé, Alexander Y Sun, John Grecula, Kristin J Redmond, Shannon Fogh, Laurie Gaspar, Andre Konski, Joseph Bovi, Clifford G Robinson, Benjamin Corn, Gregory M Videtic, Benjamin H Lok, Harold A Yoon, John H Heinzerling, Albert S Denittis, Ronald C Mcgarry, Kiran Devisetty, Vijayananda Kundapur, Abraham J Wu, Edward C Mccarron, Isabelle Thibault, Edmund L Simon, Andrew M Baschnagel, Samir Narayan, Jondavid Pollock, Rebecca Paulus, Lisa A Kachnic

Faculty, Staff and Student Publications

Purpose: Hippocampal avoidance (HA) during therapeutic whole-brain radiotherapy reduces the risk of neurocognitive function (NCF) toxicity in patients with brain metastasis. This trial hypothesized that HA during prophylactic cranial irradiation (PCI) in patients with small cell lung cancer (SCLC) leads to noninferior intracranial relapse (ICR) and reduction in NCF toxicity.

Methods: This randomized phase II/III trial enrolled patients with SCLC, no brain metastases, and response to chemotherapy. The primary end points were 12-month ICR (noninferiority design, randomized phase II) and 6-month Hopkins Verbal Learning Test-Revised (HVLT-R) Delayed Recall (DR) failure (phase III). Secondary end points were failure in any NCF …

Histologic And Immune Characterization Of Cutaneous Immune-Related Adverse Events Induced By Immune Checkpoint Inhibitors, Omar Pacha, Anisha B Patel, Jonathan L Curry, Cara L Haymaker, Nejla Ozirmak Lermi, Dzifa Yawa Duose, Ken Chen, Joud Hajjar, Aung Naing

Faculty, Staff and Student Publications

Background: Although immune checkpoint inhibitors (ICIs) are efficacious, they often cause immune-related adverse events (irAEs), most commonly cutaneous irAEs (CirAEs). The mechanisms underlying CirAEs remain unclear.

Methods: Attempting to better understand their mechanisms and histology we conducted a prospective study of 15 patients with advanced cancers treated with ICIs who developed grade 2 or higher CirAEs. Clinical and histologic characterization of biopsy specimens of CirAEs was performed. Histologic analysis of patient biopsy specimens were subdivided by epidermal reaction patterns that included spongiotic, lichenoid, and interface dermatitis patterns. A targeted RNA expression assay was used to identify immune markers in CirAE …

Rna Sequencing And Immunohistochemistry Jointly Improve Tumor Biomarker Interpretation, Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K Lennerz, Funda Meric-Bernstam, Alexander Bagaev

Faculty, Staff and Student Publications

This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC classifications. Expression levels of nine biomarkers-ESR1, PGR, AR, MKI67, ERBB2, CD274, CDX2, KRT7, and KRT20-were analyzed in 365 formalin-fixed, paraffin-embedded samples from breast, lung, gastrointestinal, and other solid carcinomas. Correlations between RNA-seq data and IHC scores were determined using Spearman's correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. The results revealed strong correlations for most biomarkers, with coefficients ranging from 0.53 to …

Master Protocol Design With Hybrid Control For Efficient Early-Phase Trial Consolidation, Alexander M Kaizer, Xiaojiang Zhan, Eric Baron, Rui Sammi Tang, David S Hong, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Master protocols represent transformations, enabling multiple therapies or diseases under a single protocol. These designs streamline therapeutic development by reducing redundancies. Suited for evolving fields such as oncology and global emergencies such as the COVID-19 pandemic, master protocols have been exemplified by studies such as RECOVERY, Solidarity, and I-SPY 2, which accelerated effective treatment identification (with I-SPY 2 focused on molecular subtypes). Recent oncology examples, such as MORPHEUS, evaluate immunotherapy combinations with shared controls. Despite advantages, their application in early-phase oncology remains underutilized amid growing regulatory emphasis on randomization for robust evidence.

Methods: US Food and Drug Administration (FDA) …

Nanotechnology For Immuno-Oncology, Adam J Grippin, Daeyong Lee, Eileen E Parkes, Wen Jiang, Betty Y S Kim

Faculty, Staff and Student Publications

Although the first generation of cancer immunotherapeutics produced unprecedented improvements in clinical outcomes for individuals with cancer, novel strategies to increase treatment specificity, delivery efficiency and pharmacokinetics are still needed. In this Review, we describe the potential advantages and current limitations of nanomaterials for cancer immunotherapy and highlight rational uses of nanosystems to generate potent and durable antitumor immune responses. We close with a review of the current state of clinical development of nanomedicine for cancer immunotherapy.

Provider Attitudes And Perspectives On Rehabilitation For Pediatric Cancer Patients, Maria C Swartz, Eduardo Gonzalez Villarreal, Keri Schadler, Donna Kelly, Alakh P Rajan, Clark Andersen, Shiming Zhang, Stephanie J Wells, Amy Heaton, Karen M Moody

Faculty, Staff and Student Publications

PurposeTwenty percent of childhood cancer survivors experience physical function impairments, and ∼75% develop a chronic health condition. Physical and occupational therapists (PT/OTs) can mitigate these late effects, yet few children receive cancer rehabilitation (CR). This research aimed to identify provider attitudes and perspectives towards CR services for children across inpatient and outpatient settings at a cancer center.MethodsThree cardiac rehabilitation instruments were adapted to evaluate knowledge, attitudes, and perceptions regarding CR delivery. Descriptive statistics were used to summarize participant survey results.ResultsTwenty administrators, 20 physicians/advanced practice providers (APPs), and 20 PT/OTs completed surveys. All disciplines strongly agreed on the value of CR …

Patient, Physician, And Assessor Blinding In Phase Iii Randomized Trials In Oncology: A Meta-Epidemiological Analysis, Gabrielle Brown, Pavlos Msaouel, Avital M Miller, Ramez Kouzy, Timothy A Lin, Joseph Abi Jaoude, Ethan B Ludmir, Alexander D Sherry

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Background: Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression-free survival (PFS). Here, we characterize utilization of and factors associated with blinding in Phase III oncology trials with PFS primary endpoints.

Methods: Two-arm, superiority-design trials investigating systemic therapy were identified in May 2024 from ClinicalTrials.gov with no date limitation. Trials were required to have a PFS primary endpoint. The study outcomes were the presence of double-blind designs and blinded independent central review (BICR) for the primary endpoint. Ninety-five percent credible intervals for binary outcomes were estimated from beta distributions, and multivariable logistic …

Acquired Resistance In Cancer: Towards Targeted Therapeutic Strategies, Alice Soragni, Erik S Knudsen, Thomas N O'Connor, Cristina E Tognon, Jeffrey W Tyner, Beatrice Gini, Donghwa Kim, Trever G Bivona, Xingxing Zang, Agnieszka K Witkiewicz, David W Goodrich, Dadi Jiang, Seth T Gammon, Christopher D Willey, Paul C Boutros, Vlad C Sandulache, Abdullah A Osman, Jeffrey N Myers, Kamiya Mehla, Pankaj K Singh, Keith S Chan, Hongbo Gao, Himangi Marathe

Faculty, Staff and Student Publications

Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incompletely understood. Novel strategies that address and overcome the various and complex resistance mechanisms necessitate a deep understanding of the underlying dynamics. We are at a crucial time when innovative technologies applied to patient-relevant tumour models have the potential to bridge the gap between fundamental research into mechanisms and timing of acquired resistance and clinical applications that translate these findings into actionable strategies to extend therapy efficacy. …

Mitophagy’S Impacts On Cancer And Neurodegenerative Diseases: Implications For Future Therapies, Jason Huang, Vincent Truong Pham, Shaozi Fu, Gang Huang, Ya-Guang Liu, Lei Zheng

Faculty, Staff and Student Publications

Substantial evidence supports an inverse relationship between cancer and neurodegenerative diseases (NDDs), but few studies investigate the biological mechanisms underlying this phenomenon. While previous explanations-such as inflammation, reactive oxygen species (ROS), genetic mutations, and cell death-remain significant, they ultimately converge on mitophagy. This review identifies mitophagy as a pivotal factor in the development of both cancer and NDDs, while also evaluating specific mechanisms and processes to clarify how mitophagy connects these opposing disease trajectories. By examining these factors, we aim to uncover the underlying mechanisms that explain the inverse relationship between cancer and NDDs, which will help develop therapeutic strategies …

Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie

Faculty, Staff and Student Publications

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …

Extracellular Vesicles In Cancer: From Isolation And Characterization To Metastasis, Drug Resistance, And Clinical Applications, Ancuta Jurj, Doru Paul, George A Calin

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Cancer progression, along with other hallmarks of cancer, is sustained through bidirectional cell-to-cell communication. This function is primarily facilitated by lipid-rich nanoparticles expelled into the extracellular matrix by stromal and/or malignant cells. These entities, known as extracellular vesicles, contain a vast repertoire of bioactive molecules and hold promise as potential biomarkers and nanovehicles for drug delivery. Intriguingly, the cellular and molecular mechanisms governing the functions of extracellular vesicles remain poorly understood. In the present manuscript, we highlight the intracellular and intercellular journey of extracellular vesicles, from their inception to the present day, their implications in various hallmarks of cancer, and …

Pan-Cancer Immune And Stromal Deconvolution Predicts Clinical Outcomes And Mutation Profiles, Bhavneet Bhinder, Verena Friedl, Sunantha Sethuraman, Davide Risso, Kami E Chiotti, R Jay Mashl, Kyle P Ellrott, Jordan A Lee, Christopher K Wong, Kofi Gyan, Aditya Deshpande, Marcin Imielinski, Rohan Bareja, Josh Stuart, Myron Peto, Katherine A Hoadley, Alexander J Lazar, Andrew D Cherniack, Jingchun Zhu, Shaolong Cao, Mark Rubin, Wenyi Wang, Oliver F Bathe, Nicolas Robine, Li Ding, Peter W Laird, Wanding Zhou, Hui Shen, Vésteinn Thorsson, Jen Jen Yeh, Matthew H Bailey, Daniel Cui Zhou, Xianlu L Peng, Mary Goldman, Yongsheng Li, Anil Korkut, Nidhi Sahni, D Neil Hayes, Michael K A Mensah, Ina Felau, Anab Kemal, Samantha Caesar-Johnson, John A Demchok, Liming Yang, Martin L Ferguson, Roy Tarnuzzer, Zhining Wang, Jean C Zenklusen, Paul Spellman, Olivier Elemento

Faculty, Staff and Student Publications

Traditional gene expression deconvolution methods assess a limited number of cell types, therefore do not capture the full complexity of the tumor microenvironment (TME). Here, we integrate nine deconvolution tools to assess 79 TME cell types in 10,592 tumors across 33 different cancer types, creating the most comprehensive analysis of the TME. In total, we found 41 patterns of immune infiltration and stroma profiles, identifying heterogeneous yet unique TME portraits for each cancer and several new findings. Our findings indicate that leukocytes play a major role in distinguishing various tumor types, and that a shared immune-rich TME cluster predicts better …

Supporting Patients With Advanced Cancer And Their Spouses In Parenting Minor Children: Results Of A Randomized Controlled Trial, Kathrin Milbury, Sujin Ann-Yi, Meagan S Whisenant, Morgan Jones, Yisheng Li, Victoria Necroto, Sania D Yousuf, Mariana Chavez-Macgregor, Larrisa Meyers, Eduardo Bruera

Faculty, Staff and Student Publications

Introduction: Patients with advanced cancer and their spousal caregivers who parent minor children report unmet parenting concerns and increased psychological distress. Seeking to address these important supportive care needs, this RCT examined the feasibility, acceptability, and initial evidence for the efficacy of a novel psychosocial intervention.

Patients and methods: Patients with a metastatic solid malignancy and their spouses completed self-reported validated assessments of psychological symptoms and cancer-related parenting outcomes and were then randomized to the parent support intervention or a usual care (UC) group. Both groups were reassessed 6 and 12 weeks later. Dyads randomized to the counselor-led intervention attended …

Direct Inhibition Of Ras Reveals The Features Of Oncogenic Signaling Driven By Ras G12 And Q61 Mutations, Michelangelo Marasco, Dinesh Kumar, Santiago Garcia Borrego, Tessa Seale, Giulia Maddalena, Riccardo Mezzadra, Kylie Belanger, Soren Cole, Brayan Perez, Wei Luan, Radha Mukherjee, Ilinca Aricescu, Vladimir Markov, Yuxin Zhu, Sabrina Arena, Alberto Bardelli, Elisa De Stanchina, Scott W Lowe, Richard A Burkhart, Jacquelyn W Zimmerman, Rona Yaeger, Scott E Kopetz, Neal Rosen, Sandra Misale

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RAS genes are frequently mutated in cancer, often at codons 12 and 61. With the recent introduction of RAS inhibitors, we can now directly investigate the effects of specific RAS mutations in cancer cells. In this study, we demonstrate that in tumors with RASG12X mutations, mutant RAS can be activated by receptor tyrosine kinases (RTK), and PI3K activation is dependent on mutant RAS. Conversely, RASQ61X mutations activate the MAPK cascade independently of RTKs, and inhibition of RASQ61X impairs MAPK pathway activation but leaves the PI3K pathway unaffected. Our characterization of these distinct features of G12X and Q61X mutations suggests that …

First-In-Human Phase 1 Study Of Khk2455 Monotherapy And In Combination With Mogamulizumab In Patients With Advanced Solid Tumors, Timothy A Yap, Olivier Rixe, Capucine Baldini, Ursa Brown-Glaberman, Sergey Efuni, David S Hong, Christophe Massard, Jameel Muzaffar, Andreea Varga, Emrullah Yilmaz, Yuta Ikawa, Lisa H Shiue, Yi Liu, Matthew W Hruska, Henry Zhao, Akihiro Tokunaga, Solmaz Sahebjam

Faculty, Staff and Student Publications

Background: Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme that degrades tryptophan (Trp) to kynurenine (Kyn), which suppresses effector T cells and reduces antitumor activity. KHK2455 is a long-acting selective IDO1 inhibitor that blocks the heme component of the IDO holoenzyme. Mogamulizumab is a humanized immunoglobulin G1 monoclonal antibody targeting CCR4. KHK2455 + mogamulizumab demonstrated enhanced antitumor activity in preclinical studies, which led to a first-in-human, two-part, multicenter, open-label, phase 1, dose-escalation, cohort-expansion trial (ClinicalTrials.gov identifier NCT02867007) evaluating the safety/tolerability, pharmacokinetics, and IDO1 activity of KHK2455 alone and in combination with mogamulizumab in patients with treatment-refractory advanced solid tumors. …

Bridging Cell Morphological Behaviors And Molecular Dynamics In Multi-Modal Spatial Omics With Morphlink, Jing Huang, Chenyang Yuan, Jiahui Jiang, Jianfeng Chen, Sunil S Badve, Yesim Gokmen-Polar, Rossana L Segura, Xinmiao Yan, Alexander Lazar, Jianjun Gao, Bing Yao, Michael Epstein, Linghua Wang, Jian Hu

Faculty, Staff and Student Publications

Multi-modal spatial omics data are invaluable for exploring complex cellular behaviors in diseases from both morphological and molecular perspectives. Current analytical methods primarily focus on clustering and classification, and do not adequately examine the relationship between cell morphology and molecular dynamics. Here, we present MorphLink, a framework designed to systematically identify disease-related morphological-molecular interplays. MorphLink has been evaluated across a wide array of datasets, showcasing its effectiveness in extracting and linking interpretable morphological features with various molecular measurements in spatial omics analyses. These linkages provide a transparent view of cellular behavior heterogeneity within tissue regions with similar cell type compositions, …

Practical Considerations For Using The Tite-Boin Design To Handle Late-Onset Toxicity Or Fast Accrual In Phase I Trials, Kai Chen, Ting-Yu Chen, Yiming Zhang, Ruitao Lin, Ying Yuan

Faculty, Staff and Student Publications

Conducting phase I trials is particularly challenging when dealing with late-onset dose-limiting toxicity (DLT) or when patient accrual is rapid relative to the DLT assessment window. In such cases, a new cohort may be ready for enrollment before the DLT assessments are complete for the current cohort, complicating dose assignment decisions. The time-to-event Bayesian optimal interval (TITE-BOIN) design was developed to address this issue by enabling real-time dose assignment for new cohorts, even when some enrolled patients' DLT data are still pending. This design has been increasingly adopted in practice. Upon reviewing trial protocols utilizing TITE-BOIN, we observed considerable variation …

Incomplete Toxicity Reporting And Use Of Toxicity-Minimizing Language In Phase Iii Oncology Trials, Avital M Miller, Adina H Passy, Alexander D Sherry, Ramez Kouzy, Joseph Abi Jaoude, Timothy A Lin, Gabrielle S Kupferman, Esther J Beck, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: This study aimed to determine complete toxicity reporting (CTR), and the use of subjective toxicity-minimizing language (TML) among phase III oncology trials.

Methods: Two-arm superiority-design phase III oncology trials published from 2002 to 2020 were reviewed for toxicity data. CTR was defined as reporting total adverse events (TAEs), total serious adverse events (SAEs), total deaths, and study therapy discontinuations because of toxicity. Guideline concordance was defined according to guidelines published in the BMJ (defined as reporting total SAEs, total deaths, and study therapy discontinuations because of toxicity). TML was defined as a set of terms that subjectively downplay the …

Ovarian Cancer Risk And Survival According To Tumor Sex Hormone Receptor Expression: An Ovarian Cancer Association Consortium And Ovarian Tumor Tissue Analysis Consortium Pooled Analysis, Zhuxuan Fu, Lauren Borho, Sarah E Taylor, Linda E Kelemen, Anna Defazio, Penelope M Webb, Martin Köbel, Nicola S Meagher, Renhua Na, Antonis C Antoniou, Alison H Brand, Catherine J Kennedy, Nikilyn Nevins, Paul D P Pharoah, Yurii B Shvetsov, Stacey J Winham, Jennifer Alsop, Matthias W Beckmann, Adelyn Bolithon, Jessica Boros, David D L Bowtell, James D Brenton, Michael E Carney, Anita Chudecka-Głaz, Linda S Cook, Cezary Cybulski, Peter A Fasching, Sian Fereday, Renée T Fortner, María J García, Ellen L Goode, Marc T Goodman, Jacek Gronwald, Arndt Hartmann, Brenda Y Hernandez, Estrid Høgdall, David G Huntsman, Allan Jensen, Mercedes Jimenez-Linan, Janine M Joseph, Beth Y Karlan, Ewa Kaznowska, Susanne K Kjaer, Tomasz Kluz, Jennifer M Koziak, Jenny Lester, Teri A Longacre, Maria Lycke, Valerie Mcguire, Kirsten B Moysich, Rachel A Murphy, Sandra Orsulic, Susan J Ramus, Cristina Rodríguez-Antona, Joseph H Rothstein, Spinder Samra, Weiva Sieh, Helen Steed, Karin Sundfeldt, Aline Talhouk, Jan Uciński, Chen Wang, Nicolas Wentzensen, Alice S Whittemore, Lynne R Wilkens, Thomas Songer, Maria Mori Brooks, Lu Tang, Francesmary Modugno

Faculty, Staff and Student Publications

Objective: Many epithelial ovarian cancer (EOC) risk factors relate to sex hormones. The association between these factors and the expression of androgen receptor (AR), estrogen receptor-α (ER), and progesterone receptor (PR) in tumors is unknown.

Method: We linked epidemiologic, AR/ER/PR tumor expression, and survival data from 19 studies in the Ovarian Cancer Association Consortium (OCAC; 4762 cases, 20,888 controls) and the Ovarian Tumor Tissue Analysis (OTTA) consortium (5737 cases). We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) between hormonally-linked factors and tumor AR/ER/PR expression using polytomous logistic regression. We assessed survival by AR/ER/PR tumor expression overall and …

Bayesian Inference Of Fitness Landscapes Via Tree-Structured Branching Processes, Xiang Ge Luo, Jack Kuipers, Kevin Rupp, Koichi Takahashi, Niko Beerenwinkel

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Motivation: The complex dynamics of cancer evolution, driven by mutation and selection, underlies the molecular heterogeneity observed in tumors. The evolutionary histories of tumors of different patients can be encoded as mutation trees and reconstructed in high resolution from single-cell sequencing data, offering crucial insights for studying fitness effects of and epistasis among mutations. Existing models, however, either fail to separate mutation and selection or neglect the evolutionary histories encoded by the tumor phylogenetic trees.

Results: We introduce FiTree, a tree-structured multi-type branching process model with epistatic fitness parameterization and a Bayesian inference scheme to learn fitness landscapes from single-cell …

The Long-Term Effects Of Chemotherapy On Normal Blood Cells, Emily Mitchell, My H Pham, Anna Clay, Rashesh Sanghvi, Nicholas Williams, Sandra Pietsch, Joanne I Hsu, Nina Friesgaard Øbro, Hyunchul Jung, Aditi Vedi, Sarah Moody, Jingwei Wang, Daniel Leonganmornlert, Michael Spencer Chapman, Ellie Dunstone, Anna Santarsieri, Alex Cagan, Heather E Machado, E Joanna Baxter, George Follows, Daniel J Hodson, Ultan Mcdermott, Gary J Doherty, Inigo Martincorena, Laura Humphreys, Krishnaa Mahbubani, Kourosh Saeb Parsy, Koichi Takahashi, Margaret A Goodell, David Kent, Elisa Laurenti, Peter J Campbell, Raheleh Rahbari, Jyoti Nangalia, Michael R Stratton

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Several chemotherapeutic agents act by increasing DNA damage in cancer cells, triggering cell death. However, there is limited understanding of the extent and long-term consequences of collateral DNA damage in normal tissues. To investigate the impact of chemotherapy on mutation burdens and the cell population structure of normal tissue, we sequenced blood cell genomes from 23 individuals aged 3-80 years who were treated with a range of chemotherapy regimens. Substantial additional somatic mutation loads with characteristic mutational signatures were imposed by some chemotherapeutic agents, but the effects were dependent on the drug and blood cell types. Chemotherapy induced premature changes …

Adtnorm: Robust Integration Of Single-Cell Protein Measurement Across Cite-Seq Datasets, Ye Zheng, Daniel P Caron, Ju Yeong Kim, Seong-Hwan Jun, Yuan Tian, Florian Mair, Kenneth D Stuart, Peter A Sims, Raphael Gottardo

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Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables paired measurement of surface protein and mRNA expression in single cells using antibodies conjugated to oligonucleotide tags. Due to the high copy number of surface protein molecules, sequencing antibody-derived tags (ADTs) allows for robust protein detection, improving cell-type identification. However, variability in antibody staining leads to batch effects in the ADT expression, obscuring biological variation, reducing interpretability, and obstructing cross-study analyses. Here, we present ADTnorm, a normalization and integration method designed explicitly for ADT abundance. Benchmarking against 14 existing scaling and normalization methods, we show that ADTnorm accurately aligns populations …

The Landmark Series: Therapeutic Cancer Vaccine Strategies For Cold Tumors, Alex B Blair, Lei Zheng, Kevin C Soares

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Immunologically cold tumors present a significant challenge in cancer treatment due to their limited baseline immune infiltration and resistance to immunotherapy. Cancer vaccines offer a promising strategy to overcome this barrier by introducing high-quality, tumor-relevant antigens that can stimulate an effective anti-tumor immune response. Therapeutic cancer vaccines are being explored in the neoadjuvant, adjuvant, and minimal residual disease contexts to enhance immune activation and promote immune cell infiltration and function, with the goal to eradicate malignant cells and improve patient survival. Critical hurdles remain in optimizing antigen selection, determining the most effective vaccine formulations, and defining the ideal clinical setting …