Medical Sciences Commons^™

Characterization Of Cancer Survivors Clustered By Subjective And Objective Cognitive Function Scores, Taichi Goto, Leorey N Saligan, Paul Juneau, Stephen G Gonsalves, Carielle Joy Rio, Letitia Y Graves, Diane Von Ah

Faculty, Staff and Student Publications

Background: Cancer-related cognitive impairment (CRCI) is a prevalent condition that significantly impacts the quality of life of individuals who receive cancer treatment. Clinical management of CRCI presents challenges due to the absence of a standardized assessment. This study identified clinically relevant phenotypic clusters of CRCI based on subjective and objective cognitive function scores.

Methods: In this cross-sectional study, participants were clustered using the VARCLUS™ based on subjective cognitive impairment assessed through the PROMIS® version 1.0 short-form subscales of cognitive abilities and cognitive concerns and the CANTAB Cambridge Cognition® scores, which included measures of visuospatial working memory capacity, visual episodic memory, …

Associations Between Radiation Oncologist Demographic Factors And Segmentation Similarity Benchmarks: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation, Kareem A Wahid, Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami, Serageldin Kamel, Simon Duke, Michael V Sherer, Mathis Rasmussen, Stine Korreman, David Fuentes, Michael Cislo, Benjamin E Nelms, John P Christodouleas, James D Murphy, Abdallah S R Mohamed, Renjie He, Mohammed A Naser, Erin F Gillespie, Clifton D Fuller

Faculty, Staff and Student Publications

PURPOSE: The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived segmentations are poorly understood; our study aims to quantify these factors.

METHODS: Organ at risk (OAR) and tumor-related segmentations provided by radiation oncologists from the Contouring Collaborative for Consensus in Radiation Oncology data set were used. Segmentations were derived from five disease sites: breast, sarcoma, head and neck (H&N), gynecologic (GYN), and GI. Segmentation quality was determined on a structure-by-structure basis by comparing the observer segmentations with an expert-derived consensus, which served as a reference …

Adaptive Bayesian Information Borrowing Methods For Finding And Optimizing Subgroup-Specific Doses, Jingyi Zhang, Ruitao Lin, Xin Chen, Fangrong Yan

Faculty, Staff and Student Publications

In precision oncology, integrating multiple cancer patient subgroups into a single master protocol allows for the simultaneous assessment of treatment effects in these subgroups and promotes the sharing of information between them, ultimately reducing sample sizes and costs and enhancing scientific validity. However, the safety and efficacy of these therapies may vary across different subgroups, resulting in heterogeneous outcomes. Therefore, identifying subgroup-specific optimal doses in early-phase clinical trials is crucial for the development of future trials. In this article, we review various innovative Bayesian information-borrowing strategies that aim to determine and optimize subgroup-specific doses. Specifically, we discuss Bayesian hierarchical modeling, …

A Phase I Study Of Tak-659 And Paclitaxel In Patients With Taxane-Refractory Advanced Solid Tumors, M A Gouda, J Shunyakova, A Naing, E Dumbrava, D S Hong, Y Yuan, P Yang, A Myers, Y Liang, J Peng, D Karp, A M Tsimberidou, J Rodon, T A Yap, S A Piha-Paul, F Meric-Bernstam, S Fu

Faculty, Staff and Student Publications

BACKGROUND: Paclitaxel resistance limits durability of response in patients with initial clinical benefit. Overexpression of spleen tyrosine kinase (SYK) has been proposed as a possible resistance mechanism. This phase I trial evaluated the safety and preliminary activity of the SYK inhibitor TAK-659 combined with paclitaxel in patients with advanced taxane-refractory solid tumors.

PATIENTS AND METHODS: Patients with advanced solid tumors and prior progression on taxane-based therapy received intravenous infusion of paclitaxel on days 1, 8, and 15 plus oral TAK-659 daily in 28-day cycles. The dose-escalation phase included six cohorts treated at different dose levels; the dose-expansion phase included patients …

Pediatric Normal Tissue Effects In The Clinic (Pentec): An International Collaboration To Assess Normal Tissue Radiation Dose-Volume-Response Relationships For Children With Cancer, Louis S Constine, Arthur J Olch, Andrew Jackson, Chia-Ho Hua, Cecile M Ronckers, Michael T Milano, Karen J Marcus, Ellen Yorke, David C Hodgson, Rebecca M Howell, Melissa M Hudson, Jacqueline P Williams, Brian Marples, Leontien C M Kremer, Lawrence B Marks, Søren M Bentzen

Faculty, Staff and Student Publications

No abstract provided.

Cascade Genetic Testing: An Underutilized Pathway To Equitable Cancer Care?, Roni Nitecki Wilke, Erica M Bednar, Sara Pirzadeh-Miller, Sayoni Lahiri, Isabel C Scarinci, Charles A Leath Iii, Melissa K Frey, Karen H Lu, J Alejandro Rauh-Hain

Faculty, Staff and Student Publications

The Precision Medicine Initiative was launched upon the potential of genomic information to tailor medical care. Cascade genetic testing represents a powerful application of precision medicine and involves the process of familial diffusion or the "cascade" of genomic risk information. When an individual (proband) is found to carry a cancer-associated germline pathogenic mutation, the information should be cascaded or shared with at-risk relatives. First degree relatives have a 50% likelihood of carrying the same cancer-associated mutation. This process of cascade testing offers at-risk relatives the opportunity for genetic testing and, for those who also carry the cancer-associated mutation, genetically targeted …

Evaluations Of An Early Change In Tumor Pathophysiology In Response To Radiotherapy With Oxygen Enhanced Electron Paramagnetic Resonance Imaging (Oe Epri), Tianzhe Li, Grace A Murley, Xiaofei Liang, Renee L Chin, Jorge De La Cerda, F William Schuler, Mark D Pagel

Faculty, Staff and Student Publications

Purpose: Electron Paramagnetic Resonance Imaging (EPRI) can image the partial pressure of oxygen (pO2) within in vivo tumor models. We sought to develop Oxygen Enhanced (OE) EPRI that measures tumor pO2 with breathing gases of 21% O2 (pO221%) and 100% O2 (pO2100%), and the differences in pO2 between breathing gases (ΔpO2). We applied OE EPRI to study the early change in tumor pathophysiology in response to radiotherapy in two tumor models of pancreatic cancer.

Procedures: We developed a protocol that intraperitoneally administered OX071, a trityl radical contrast agent, and then acquired anatomical MR images to localize the tumor. Subsequently, we …

Data Mining For Second Malignancies After Car-T, Helen E Heslop

Faculty, Staff and Students Publications

No abstract provided.

Unraveling Etc Complex I Function In Ferroptosis Reveals A Potential Ferroptosis-Inducing Therapeutic Strategy For Lkb1-Deficient Cancers, Chao Mao, Guang Lei, Amber Horbath, Min Wang, Zhengze Lu, Yuelong Yan, Xiaoguang Liu, Lavanya Kondiparthi, Xiong Chen, Jun Cheng, Qidong Li, Zhihao Xu, Li Zhuang, Bingliang Fang, Joseph R Marszalek, Masha V Poyurovsky, Kellen Olszewski, Boyi Gan

Faculty, Staff and Student Publications

The role of the mitochondrial electron transport chain (ETC) in regulating ferroptosis is not fully elucidated. Here, we reveal that pharmacological inhibition of the ETC complex I reduces ubiquinol levels while decreasing ATP levels and activating AMP-activated protein kinase (AMPK), the two effects known for their roles in promoting and suppressing ferroptosis, respectively. Consequently, the impact of complex I inhibitors on ferroptosis induced by glutathione peroxidase 4 (GPX4) inhibition is limited. The pharmacological inhibition of complex I in LKB1-AMPK-inactivated cells, or genetic ablation of complex I (which does not trigger apparent AMPK activation), abrogates the AMPK-mediated ferroptosis-suppressive effect and sensitizes …

Ael Transformed From Post-Et Myelofibrosis With A Sinusoidal Pattern, Jak2 Mutation, And Biallelic Tp53 Inactivation, Qing Wei, M James You

Faculty, Staff and Student Publications

No abstract provided.

Accelerated Somatic Mutation Calling For Whole-Genome And Whole-Exome Sequencing Data From Heterogenous Tumor Samples, Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

Faculty, Staff and Student Publications

Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing …

Ataxia-Telangiectasia Mutated Loss-Of-Function Displays Variant And Tissue-Specific Differences Across Tumor Types, Patrick G Pilié, Virginia Giuliani, Wei-Lien Wang, Daniel J Mcgrail, Christopher A Bristow, Natalie Y L Ngoi, Keith Kyewalabye, Khalida M Wani, Hung Le, Erick Campbell, Nora S Sanchez, Dong Yang, Jinesh S Gheeya, Rohit Vivek Goswamy, Vijaykumar Holla, Kenna Rael Shaw, Funda Meric-Bernstam, Chiu-Yi Liu, Xiaoyan Ma, Ningping Feng, Annette A Machado, Jennifer P Bardenhagen, Christopher P Vellano, Joseph R Marszalek, Eeson Rajendra, Desiree Piscitello, Timothy I Johnson, Maria Likhatcheva, Elias Elinati, Jayesh Majithiya, Joana Neves, Vera Grinkevich, Marco Ranzani, Marina Roy Luzarraga, Marie Boursier, Lucy Armstrong, Lerin Geo, Giorgia Lillo, Wai Yiu Tse, Alexander J Lazar, Scott E Kopetz, Mary K Geck Do, Sarah Lively, Michael G Johnson, Helen M R Robinson, Graeme C M Smith, Christopher L Carroll, M Emilia Di Francesco, Philip Jones, Timothy P Heffernan, Timothy A Yap

Faculty, Staff and Student Publications

PURPOSE: Mutations in the ATM gene are common in multiple cancers, but clinical studies of therapies targeting ATM-aberrant cancers have yielded mixed results. Refinement of ATM loss of function (LOF) as a predictive biomarker of response is urgently needed.

EXPERIMENTAL DESIGN: We present the first disclosure and preclinical development of a novel, selective ATR inhibitor, ART0380, and test its antitumor activity in multiple preclinical cancer models. To refine ATM LOF as a predictive biomarker, we performed a comprehensive pan-cancer analysis of ATM variants in patient tumors and then assessed the ATM variant-to-protein relationship. Finally, we assessed a novel ATM LOF …

Transcriptomic Profiling Of Plasma Extracellular Vesicles Enables Reliable Annotation Of The Cancer-Specific Transcriptome And Molecular Subtype, Vahid Bahrambeigi, Jaewon J Lee, Vittorio Branchi, Kimal I Rajapakshe, Zhichao Xu, Naishu Kui, Jason T Henry, Wang Kun, Bret M Stephens, Sarah Dhebat, Mark W Hurd, Ryan Sun, Peng Yang, Eytan Ruppin, Wenyi Wang, Scott Kopetz, Anirban Maitra, Paola A Guerrero

Faculty, Staff and Student Publications

Longitudinal monitoring of patients with advanced cancers is crucial to evaluate both disease burden and treatment response. Current liquid biopsy approaches mostly rely on the detection of DNA-based biomarkers. However, plasma RNA analysis can unleash tremendous opportunities for tumor state interrogation and molecular subtyping. Through the application of deep learning algorithms to the deconvolved transcriptomes of RNA within plasma extracellular vesicles (evRNA), we successfully predicted consensus molecular subtypes in patients with metastatic colorectal cancer. Analysis of plasma evRNA also enabled monitoring of changes in transcriptomic subtype under treatment selection pressure and identification of molecular pathways associated with recurrence. This approach …

Correction: Horne Et Al White Matter Correlates Of Domain-Specific Working Memory, Autumn Horne, Junhua Ding, Tatiana T Schnur, Randi C Martin

Faculty, Staff and Student Publications

In the original publication [...].

Hormonal Basis Of Brain Fog In Cancer Treatment, Yuan Pan, Jian Hu

Faculty, Staff and Student Publications

The cognitive side effects of cancer treatment are common, but no targeted therapy exists yet to treat or prevent such neurological sequelae. We explore the role of hormones as mediators between cancer therapy and cognitive impairment, discussing potential future directions.

Examining The Association Between Abstinence From Smoking And Healthcare Costs Among Patients With Cancer, George Kypriotakis, Seokhun Kim, Maher Karam-Hage, Jason D Robinson, Jennifer A Minnix, Janice A Blalock, Yong Cui, Diane Beneventi, Bumyang Kim, I-Wen Pan, Ya-Chen Tina Shih, Paul M Cinciripini

Faculty, Staff and Student Publications

Continuous tobacco use in cancer patients is linked to substantial healthcare costs due to increased risks and complications, whereas quitting smoking leads to improved treatment outcomes and cost reductions. Addressing the need for empirical evidence on the economic impact of smoking cessation, this study examined the association between smoking cessation and healthcare cost utilization among a sample of 930 cancer patients treated at The University of Texas MD Anderson Cancer Center’s Tobacco Research and Treatment Program (TRTP). Applying conditional quantile regression and propensity scores to address confounding, our findings revealed that abstinence achieved through the TRTP significantly reduced the median …

Mdm2 Inhibitors For Cancer Therapy: The Past, Present, And Future, Wei Wang, Najah Albadari, Yi Du, Josef F Fowler, Hannah T Sang, Wa Xian, Frank Mckeon, Wei Li, Jia Zhou, Ruiwen Zhang

Faculty, Staff and Student Publications

Since its discovery over 35 years ago, MDM2 has emerged as an attractive target for the development of cancer therapy. MDM2's activities extend from carcinogenesis to immunity to the response to various cancer therapies. Since the report of the first MDM2 inhibitor more than 30 years ago, various approaches to inhibit MDM2 have been attempted, with hundreds of small-molecule inhibitors evaluated in preclinical studies and numerous molecules tested in clinical trials. Although many MDM2 inhibitors and degraders have been evaluated in clinical trials, there is currently no Food and Drug Administration (FDA)-approved MDM2 inhibitor on the market. Nevertheless, there are …

Rna Sequencing For Solid Tumor Fusion Gene Detection: Proficiency Testing Practice And Performance Comparison, Julia A Bridge, Kevin C Halling, Joel T Moncur, Rhona J Souers, Meera R Hameed, Helen Fernandes, Angshumoy Roy, Lea Surrey, Laura J Tafe, Patricia Vasalos, Dolores H Lopez-Terrada

Faculty, Staff and Students Publications

Context: Next-generation sequencing-based approaches using RNA have increasingly been used by clinical laboratories for the detection of fusion genes, intragenic rearrangements, and exon-skipping events. Correspondingly, the College of American Pathologists (CAP) has advanced RNA sequencing proficiency testing (PT) to ensure optimal performance of these assays.

Objective: To report on laboratory performance and practices of RNA sequencing for the detection of fusion genes, intragenic rearrangements, and exon-skipping events using CAP PT data from 8 mailings (2018-A through 2021-B).

Design: CAP PT RNA sequencing program results from 153 laboratories across 24 proficiency test specimens, interrogating 22 distinct engineered fusion transcripts, were analyzed …

The Evidence Is Mounting: Insurance Coverage Disruptions Lead To Worse Outcomes Among Children Diagnosed With Cancer, Philip J Lupo, Christina L Magyar

Faculty, Staff and Students Publications

No abstract provided.

Trends And Updates On The Epidemiology Of Cancer Associated Thrombosis: A Systematic Review, Ang Li, Emily Zhou

Faculty, Staff and Students Publications

Introduction: Cancer associated thrombosis (CAT) is a significant complication for patients with cancer. This review summarizes an updated epidemiology of CAT in the past decade.

Methods: A systematic review was conducted on relevant population cohort studies published 2011-2024.

Results: The 12-month incidence of CAT among patients with unselected cancers is approximately 3-5% (9-fold increase vs. matched non-cancer population); although the risk increases to 6-8% in patients with advanced cancers requiring systemic therapy (20-fold increase vs. matched non-cancer population). Despite improvement in anticoagulation usage and adherence, recurrence risk remains high at 5-8% at 6 months and 7-15% at 12 months. Important …

Natural History Of Cancer-Associated Splanchnic Vein Thrombosis, Hanqing Shang, Jun Y Jiang, Danielle Guffey, Francisco Novoa, Raka Bandyo, Shengling Ma, Ang Li

Faculty, Staff and Students Publications

Background: There is uncertainty in the management of cancer-associated isolated splanchnic vein thrombosis (SpVT).

Objectives: To describe the natural history of SpVT by cancer type and thrombus composition and to review anticoagulation (AC) practices and associated rates of usual-site venous thromboembolism (VTE), major and clinically relevant nonmajor bleeding (MB/CRNMB), recanalization/progression, and mortality.

Methods: We performed a retrospective cohort study in patients with SpVT at 2 cancer care centers in Houston, Texas. We estimated the incidence of usual-site VTE and MB/CRNMB at 6 months using competing risk methods and examined venous patency in a subset of patients with repeat imaging. We …

A Radiotherapy Community Data-Driven Approach To Determine Which Complexity Metrics Best Predict The Impact Of Atypical Tps Beam Modeling On Clinical Dose Calculation Accuracy, Fre'etta Mae Dayo Brooks, Mallory Carson Glenn, Victor Hernandez, Jordi Saez, Hunter Mehrens, Julianne Marie Pollard-Larkin, Rebecca Maureen Howell, Christine Burns Peterson, Christopher Lee Nelson, Catharine Helen Clark, Stephen Frasier Kry

Faculty, Staff and Student Publications

PURPOSE: To quantify the impact of treatment planning system beam model parameters, based on the actual spread in radiotherapy community data, on clinical treatment plans and determine which complexity metrics best describe the impact beam modeling errors have on dose accuracy.

METHODS: Ten beam modeling parameters for a Varian accelerator were modified in RayStation to match radiotherapy community data at the 2.5, 25, 50, 75, and 97.5 percentile levels. These modifications were evaluated on 25 patient cases, including prostate, non-small cell lung, H&N, brain, and mesothelioma, generating 1,000 plan perturbations. Differences in the mean planned dose to clinical target volumes …

Mechanical Venous Thrombectomy For Deep Venous Thrombosis In Cancer Patients: A Single-Center Retrospective Study, Riya M Patel, Koustav Pal, Syed Hadi Ahmed, Joshua D Kuban, Milan Patel, Ketan Shah, Peiman Habibollahi, Zeyad Metwalli, Varshana Gurusamy, Sanjay Gupta, Cristhiam M Rojas-Hernandez, Vahid Afshar-Kharghan, Michael H Kroll, Rahul A Sheth

Faculty, Staff and Student Publications

PURPOSE: Venous thromboembolism (VTE) is a major contributor to the mortality of cancer patients. Mechanical thrombectomy (MT) is an endovascular technique that physically removes a thrombus without thrombolytics. The purpose of this study was to evaluate safety, efficacy, and clinical outcomes following MT for lower extremity DVT in cancer patients.

METHODS: This single-center, retrospective study evaluated outcomes following MT of lower extremity DVT in cancer patients from November 2019 to May 2023. The primary outcome measure was clinical success, defined as a decrease in Villalta score by at least 2 points following the intervention. Secondary outcomes included repeat intervention-free survival …

Discovering Genetic Biomarkers For Targeted Cancer Therapeutics With Explainable Artificial Intelligence, Debaditya Chakraborty, Elizabeth Gutierrez-Chakraborty, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein, Paola Amero

Faculty, Staff and Student Publications

No abstract provided.

Dynamics Of Karyotype Evolution, Elena Kuzmin, Toby M Baker, Peter Van Loo, Leon Glass

Faculty, Staff and Student Publications

In the evolution of species, the karyotype changes with a timescale of tens to hundreds of thousand years. In the development of cancer, the karyotype often is modified in cancerous cells over the lifetime of an individual. Characterizing these changes and understanding the mechanisms leading to them has been of interest in a broad range of disciplines including evolution, cytogenetics, and cancer genetics. A central issue relates to the relative roles of random vs deterministic mechanisms in shaping the changes. Although it is possible that all changes result from random events followed by selection, many results point to other non-random …

De Novo Detection Of Somatic Mutations In High-Throughput Single-Cell Profiling Data Sets, Francesc Muyas, Carolin M Sauer, Jose Espejo Valle-Inclán, Ruoyan Li, Raheleh Rahbari, Thomas J Mitchell, Sahand Hormoz, Isidro Cortés-Ciriano

Faculty, Staff and Student Publications

Characterization of somatic mutations at single-cell resolution is essential to study cancer evolution, clonal mosaicism and cell plasticity. Here, we describe SComatic, an algorithm designed for the detection of somatic mutations in single-cell transcriptomic and ATAC-seq (assay for transposase-accessible chromatin sequence) data sets directly without requiring matched bulk or single-cell DNA sequencing data. SComatic distinguishes somatic mutations from polymorphisms, RNA-editing events and artefacts using filters and statistical tests parameterized on non-neoplastic samples. Using >2.6 million single cells from 688 single-cell RNA-seq (scRNA-seq) and single-cell ATAC-seq (scATAC-seq) data sets spanning cancer and non-neoplastic samples, we show that SComatic detects mutations in …

Intermittent Fasting And Its Impact On Toxicities, Symptoms And Quality Of Life In Patients On Active Cancer Treatment, Robert Li Sucholeiki, Casey L Propst, David S Hong, Goldy C George

Faculty, Staff and Student Publications

Intermittent fasting is a dietary intervention that is increasingly being tested for positive outcomes in patients receiving cancer treatment. In this review, we examine the impact of intermittent fasting on symptoms, toxicities, and quality of life in patients undergoing cancer therapy and highlight unmet investigative areas to prompt future research. While current evidence is preliminary and conclusions mixed, some promising clinical studies suggest that intermittent fasting interventions may improve fatigue and reduce gastrointestinal toxicities in certain patients with cancer. Emerging clinical evidence also demonstrates that intermittent fasting may reduce off-target DNA damage, and induce favorable cellular-level immune remodeling. Furthermore, intermittent …

Pet Imaging Of Metabolism, Perfusion, And Hypoxia: Fdg And Beyond, Austin R Pantel, Seong-Woo Bae, Elizabeth J Li, Sophia R O'Brien, H Charles Manning

Faculty, Staff and Student Publications

Imaging glucose metabolism with [18F]fluorodeoxyglucose positron emission tomography has transformed the diagnostic and treatment algorithms of numerous malignancies in clinical practice. The cancer phenotype, though, extends beyond dysregulation of this single pathway. Reprogramming of other pathways of metabolism, as well as altered perfusion and hypoxia, also typifies malignancy. These features provide other opportunities for imaging that have been developed and advanced into humans. In this review, we discuss imaging metabolism, perfusion, and hypoxia in cancer, focusing on the underlying biology to provide context. We conclude by highlighting the ability to image multiple facets of biology to better characterize cancer and …

Safety And Tolerability Of Online Adaptive High-Field Magnetic Resonance-Guided Radiotherapy, Jasmijn M Westerhoff, Lois A Daamen, John P Christodouleas, Erwin L A Blezer, Ananya Choudhury, Rosalyne L Westley, Beth A Erickson, Clifton D Fuller, Shaista Hafeez, Uulke A Van Der Heide, Martijn P W Intven, Anna M Kirby, Susan Lalondrelle, Bruce D Minsky, Stella Mook, Marlies E Nowee, Corrie A M Marijnen, Kristina M Orrling, Arjun Sahgal, Christopher J Schultz, Corinne Faivre-Finn, Robbert J H A Tersteeg, Alison C Tree, Chia-Lin Tseng, Tine Schytte, Dustin M Silk, Dave Eggert, Marco Luzzara, Jochem R N Van Der Voort Van Zyp, Helena M Verkooijen, William A Hall

Faculty, Staff and Student Publications

Importance: In 2018, the first online adaptive magnetic resonance (MR)-guided radiotherapy (MRgRT) system using a 1.5-T MR-equipped linear accelerator (1.5-T MR-Linac) was clinically introduced. This system enables online adaptive radiotherapy, in which the radiation plan is adapted to size and shape changes of targets at each treatment session based on daily MR-visualized anatomy.

Objective: To evaluate safety, tolerability, and technical feasibility of treatment with a 1.5-T MR-Linac, specifically focusing on the subset of patients treated with an online adaptive strategy (ie, the adapt-to-shape [ATS] approach).

Design, setting, and participants: This cohort study included adults with solid tumors treated with a …

Fungi In Cancer, Jessica Galloway-Peña, Iliyan D Iliev, Florencia Mcallister

Faculty, Staff and Student Publications

Both the gut and the tumour microbiome are now established as crucial regulators of cancer phenotypes and have been implicated in cancer initiation, progression and therapy response. Although the role of bacteria in these processes is beginning to be unravelled, the relevance of fungi is only just emerging. In this Viewpoint, we asked experts to discuss the current knowledge on the mycobiome–cancer connection and share their opinion on how to best solve open questions.