Medical Sciences Commons^™

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 …

Mucinous Cystic Neoplasms Of The Pancreas And Liver Share A Similar Dna Methylation Profile With Mucinous Ovarian Tumors, Zoe Leoni, Teodor G Calina, Tobias Janik, Elena Grafenhorst, Eliane T Taube, Christopher Cm Neumann, Baoqing Chen, Elena I Braicu, Jalid Sehouli, Thomas Malinka, Wenzel Schöning, Johann Pratschke, George A Calin, David S Klimstra, Jamal K Benhamida, Irene Esposito, Markus Möbs, David Horst, Simon Schallenberg, David Capper, Mihnea P Dragomir

Faculty, Staff and Student Publications

The origin of mucinous cystic neoplasms (MCNs) remains a major challenge in hepato-pancreato-biliary pathology. These cystic tumors are defined by their mucinous epithelium and ovarian-like stroma, with an estimated 10% risk of progression to invasive carcinoma. The origin of the ovarian-like stroma remains a subject of debate. In this study, we conducted immunohistochemical profiling, targeted DNA sequencing, and genome-wide DNA methylation analysis on a cohort of 15 pancreatic MCNs (MCN-P) and six hepatic MCNs (MCN-L). Using immunohistochemistry and targeted DNA sequencing, we unequivocally established the diagnosis of MCN. Unsupervised DNA methylation profile analysis of reference classes of pancreatic neoplasms (11 …

Leveraging Existing Cohort Studies Of Mexican Women To Better Understand Hispanic Health And Cancer Risk, Dalia Stern, Liliana Gomez-Flores-Ramos, Britton Trabert, V Wendy Setiawan, Loïc Le Marchand, Henry Gomez, Paul A Scheet, Humberto Parada, Amber Pirzada, Martin Lajous, Leslie V Farland

Faculty, Staff and Student Publications

Background: Hispanics have been historically underrepresented in epidemiologic cancer research. Existing cohort studies focused on recruiting Hispanic participants have been relatively small, making studying cancer outcomes challenging. Therefore, we aimed to compare the distribution of cancer risk factors among Hispanic women of Mexican heritage (HWMH) participating in existing cohorts to explore the possibility of future data pooling efforts.

Methods: We used baseline data of HWMH from three US-based studies, the Mexican American Cohort (MAC; n = 19,797; 2001-2017), the Multiethnic Cohort (MEC; n = 18,007; 1993-1996), and the Hispanic Community Health Study/Study of Latinos (HCHS/SOL; n = 4,022; 2008-2011), and …

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 …

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 …

Development And Validation Of Venous Thromboembolism-Bidirectional Encoder Representations From Transformers (Vte-Bert) Natural Language Processing Model, Omid Jafari, Shengling Ma, Barbara D Lam, Jun Y Jiang, Emily Zhou, Mrinal Ranjan, Justine Ryu, Raka Bandyo, Arash Maghsoudi, Bo Peng, Christopher I Amos, Abiodun Oluyomi, Nathanael R Fillmore, Jennifer La, Ang Li

Faculty, Staff and Students Publications

Background: Accurate and rapid phenotyping of venous thromboembolism (VTE) in longitudinal studies is important. A natural language processing (NLP) tool externally validated in representative patients is lacking.

Objectives: To train and validate an efficient NLP model to detect incident VTE event.

Methods: We designed a novel NLP platform, NLPMed, to assist thrombosis researchers with data preprocessing, phenotype annotation, language model finetuning, and NLP application. Using clinical notes, discharge summaries, and radiology reports from patients with cancer at 2 healthcare institutions, we finetuned Bio_Clinical Bidirectional Encoder Representations from Transformers (BERT) to develop VTE-BERT. The new model was trained to detect acute …

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 …

Gastrointestinal Infection Before Immune Checkpoint Inhibition Hinders Treatment Efficacy And Increases The Risk Of Colitis, Malek Shatila, Kian Abdul-Baki, Andres Urias Rivera, Kei Takigawa, Irene Jeong-Ah Lee, Andrew Sullivan, Tanvi Gupta, Linfeng Lu, Raakhi Menon, Ayesha Khan, Hamza Salim, Elliot Baerman, Carolina Colli Cruz, Cristina Natha, Varun Vemulapalli, Garrett Coleman, Krishnavathana Varatharajalu, Christopher Fan, Pablo Okhuysen, Anthony J Olszanski, Yan Zhou, Hao Chi Zhang, Mehnaz Shafi, Yinghong Wang

Faculty, Staff and Students Publications

Background: Gastrointestinal (GI) infections, which often result in or stem from intestinal dysbiosis, can affect the efficacy of immune checkpoint inhibitors (ICIs) and increase the risk of adverse effects, such as colitis. In this study, we explored the impact of GI infections before initiation of ICI therapy on the incidence and severity of immune-mediated colitis (IMC) and survival.

Methods: A single-center, retrospective review including all patients who received ICIs from January 2010 to February 2024 and subsequently developed IMC. Patients were screened for IMC and prior GI infections based on symptoms and stool tests. Patients' demographic, IMC, and GI infection-related …

Racial And Ethnic Disparity For Cancer Mortality In General And Single-Payer Healthcare Systems In The United States, Rock Bum Kim, Emily Zhou, Kaitlin N Swinnerton, Jennifer La, Shengling Ma, Mrinal Ranjan, Nhan V Do, Mary T Brophy, Nathanael R Fillmore, Ang Li

Faculty, Staff and Students Publications

Background: It remains unclear what factors significantly drive racial disparity in cancer survival in the United States (US). We compared adjusted mortality outcomes in cancer patients from different racial and ethnic groups on a population level in the US and a single-payer healthcare system.

Patients and methods: We selected adult patients with incident solid and hematologic malignancies from the Surveillance, Epidemiology, and End Results (SEER) 2011-2020 and Veteran Affairs national healthcare system (VA) 2011-2021. We classified the self-reported NIH race and ethnicity into non-Hispanic White (NHW), non-Hispanic Black (NHB), non-Hispanic Asian Pacific Islander (API), and Hispanic. Cox regression models for …

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.

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 …

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 …

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) …

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

Faculty, Staff and Student Publications

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 …

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 …

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. …

Constitutive Il-7 Signaling Promotes Car-Nk Cell Survival In The Solid Tumor Microenvironment But Impairs Tumor Control, Matthew Dysthe, Ishwar Navin, Dayenne Van Leeuwen, Josue Pineda, Corrine Baumgartner, Cliona M Rooney, Robin Parihar

Faculty, Staff and Students Publications

Background: Adoptive transfer of chimeric antigen receptor (CAR)-expressing natural killer (NK) cells has demonstrated success against hematological malignancies. Efficacy against solid tumors has been limited by poor NK cell survival and function in the suppressive tumor microenvironment (TME). To enhance efficacy against solid tumors, stimulatory cytokines have been incorporated into CAR-NK cell therapeutic approaches. However, current cytokine strategies have limitations, including systemic toxicities, exogenous dependencies, and unwanted TME bystander effects. Here, we aimed to overcome these limitations by modifying CAR-NK cells to express a constitutively active interleukin (IL)-7 receptor, termed C7R, capable of providing intrinsic CAR-NK cell activation that does …

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 …

Single-Cell Profiling Of Bone Metastasis Ecosystems From Multiple Cancer Types Reveals Convergent And Divergent Mechanisms Of Bone Colonization, Fengshuo Liu, Yunfeng Ding, Zhan Xu, Xiaoxin Hao, Tianhong Pan, George Miles, Siyue Wang, Yi-Hsuan Wu, Jun Liu, Igor L Bado, Weijie Zhang, Ling Wu, Yang Gao, Liqun Yu, David G Edwards, Hilda L Chan, Sergio Aguirre, Michael Warren Dieffenbach, Elina Chen, Yichao Shen, Dane Hoffman, Luis Becerra Dominguez, Charlotte Helena Rivas, Xiang Chen, Hai Wang, Zbigniew Gugala, Robert L Satcher, Xiang H-F Zhang

Faculty, Staff and Students Publications

Bone is a common site for metastasis of solid cancers. The diversity of histological and molecular characteristics of bone metastases (BMs) remains poorly studied. Here, we performed single-cell RNA sequencing on 42 BMs from eight cancer types, identifying three distinct ecosystem archetypes, each characterized by an enrichment of specific immune cells: macrophages/osteoclasts, regulatory/exhausted T cells, or monocytes. We validated these archetypes by immunostaining on tissue sections and bioinformatic analysis of bulk RNA sequencing/microarray data from 158 BMs across more than 10 cancer types. Interestingly, we found only a modest correlation between the BM archetypes and the tissues of origin; BMs …

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

Faculty, Staff and Student Publications

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 …

Dr Kinase: Predicting The Drug-Resistance Hotspots Of Protein Kinases, Shaofeng Lin, Chao Tu, Ruifeng Hu, Haiji Wang, Zongcheng Dong, Hui Luo, Lan Kuang, Tao Wang, Liming Wang, Zhongming Zhao, Zhihong Li, Haodong Xu

Faculty, Staff and Student Publications

Protein kinases (PKs) regulate various cellular functions, and are targeted by small-molecule kinase inhibitors (KIs) in cancers and other diseases. However, drug resistance (DR) of KIs occurs through critical mutations in four types of representative hotspots, including gatekeeper, G-loop, αC-helix, and A-loop. KI DR has become a common clinical complication affecting multiple cancers, targeted kinases, and drugs. To tackle this challenge, we report an upgraded web server, namely Dr. Kinase, for predicting the loci of four DR hotspots and assessing effects of mutations on DR hotspots for PKs in our previous studies, by utilizing multimodal features and deep hybrid learning. …

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

Faculty, Staff and Student Publications

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 …