Biomedical Informatics Commons^™

Radiation-Induced Macrovessel/Microvessel Disease, Jun-Ichi Abe, Bryan G Allen, Andreas M Beyer, David Lewandowski, Kranti A Mapuskar, Vikram Subramanian, Michelle R Tamplin, Isabella M Grumbach

Faculty, Staff and Student Publications

Radiation therapy (RT) is a cornerstone in cancer treatment (used in 50% of cases), yet challenges persist because damage to normal tissue through direct impact of radiation or bystander effects is inevitable. Injury of macrovessels by RT manifests as obstructive disease, which is akin to atherosclerotic disease. Historically observed in coronary arteries of patients treated for breast cancer and lymphoma, it also affects patients receiving contemporary therapy for lung and chest cancers. Moreover, radiation at various sites can lead to peripheral vascular disease. An aspect of radiation-induced injury that has received little attention is microvascular injury, which typically results from …

Sitravatinib In Patients With Solid Tumors Selected By Molecular Alterations: Results From A Phase Ib Study, Lyudmila Bazhenova, Dong-Wan Kim, Byoung Chul Cho, Sanjay Goel, Rebecca Heist, Theresa L Werner, Keith D Eaton, Judy S Wang, Shubham Pant, Douglas R Adkins, Collin M Blakely, Xiaohong Yan, Saskia Neuteboom, James G Christensen, Richard Chao, Todd Bauer

Faculty, Staff and Student Publications

No abstract provided.

Engineering Immunity: Bacterial Delivery Of Cancer Neoantigen Vaccines, Christopher D Johnston, Jennifer A Wargo

Faculty, Staff and Student Publications

In the battle against cancer, researchers are exploring the use of engineered bacteria as living medicines. Redenti and colleagues demonstrate that Escherichia coli Nissle 1917 (EcN) can be engineered to deliver cancer neoantigen payloads, stimulating antigen-specific CD4+ and CD8+ T cells and mediating antitumor immunity in preclinical models of colorectal cancer and melanoma.

Steering Research On Mrna Splicing In Cancer Towards Clinical Translation, Olga Anczukow, Frédéric H-T Allain, Brittany L Angarola, Douglas L Black, Angela N Brooks, Chonghui Cheng, Ana Conesa, Edie I Crosse, Eduardo Eyras, Ernesto Guccione, Sydney X Lu, Karla M Neugebauer, Priyanka Sehgal, Xiao Song, Zuzana Tothova, Juan Valcárcel, Kevin M Weeks, Gene W Yeo, Andrei Thomas-Tikhonenko

Faculty, Staff and Students Publications

Splicing factors are affected by recurrent somatic mutations and copy number variations in several types of haematologic and solid malignancies, which is often seen as prima facie evidence that splicing aberrations can drive cancer initiation and progression. However, numerous spliceosome components also 'moonlight' in DNA repair and other cellular processes, making their precise role in cancer difficult to pinpoint. Still, few would deny that dysregulated mRNA splicing is a pervasive feature of most cancers. Correctly interpreting these molecular fingerprints can reveal novel tumour vulnerabilities and untapped therapeutic opportunities. Yet multiple technological challenges, lingering misconceptions, and outstanding questions hinder clinical translation. …

Crosstalk Of Pyroptosis And Cytokine In The Tumor Microenvironment: From Mechanisms To Clinical Implication, Hua Wang, Tao Wang, Shuxiang Yan, Jinxin Tang, Yibo Zhang, Liming Wang, Haodong Xu, Chao Tu

Faculty, Staff and Student Publications

In the realm of cancer research, the tumor microenvironment (TME) plays a crucial role in tumor initiation and progression, shaped by complex interactions between cancer cells and surrounding non-cancerous cells. Cytokines, as essential immunomodulatory agents, are secreted by various cellular constituents within the TME, including immune cells, cancer-associated fibroblasts, and cancer cells themselves. These cytokines facilitate intricate communication networks that significantly influence tumor initiation, progression, metastasis, and immune suppression. Pyroptosis contributes to TME remodeling by promoting the release of pro-inflammatory cytokines and sustaining chronic inflammation, impacting processes such as immune escape and angiogenesis. However, challenges remain due to the complex …

The Pharmacogenomic And Immune Landscape Of Snornas In Human Cancers, Runhao Wang, Chengxuan Chen, Yuan Liu, Mei Luo, Jingwen Yang, Yamei Chen, Lifei Ma, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen …

Inferring Tumor Purity Using Multi-Omics Data Based On A Uniform Machine Learning Framework Motp, Qiqi Lu, Zhixian Liu, Xiaosheng Wang

Faculty, Staff and Student Publications

Existing algorithms for assessing tumor purity are limited to a single omics data, such as gene expression, somatic copy number variations, somatic mutations, and DNA methylation. Here we proposed the machine learning Multi-omics Tumor Purity prediction (MoTP) algorithm to estimate tumor purity based on multiple types of omics data. MoTP utilizes the Bayesian Regularized Neural Networks as the prediction algorithm, and Consensus Tumor Purity Estimates as labels. We trained MoTP using multi-omics data (mRNA, microRNA, long non-coding RNA, and DNA methylation) across 21 TCGA solid cancer types. By testing MoTP in TCGA validation sets, TCGA test sets, and eight datasets …

Phase I Dose Escalation Study Of Io-108, An Anti-Lilrb2 Antibody, In Patients With Advanced Solid Tumors, Matthew H Taylor, Aung Naing, John Powderly, Paul Woodard, Luke Chung, Wen Hong Lin, Hongyu Tian, Nathan Siemers, Hong Xiang, Rong Deng, Kyu Hong, Donna Valencia, Tao Huang, Ying Zhu, X Charlene Liao, Xiao Min Schebye, Manish R Patel

Faculty, Staff and Student Publications

Purpose: In this first-in-human dose escalation study, the safety and efficacy of IO-108, a fully human monoclonal antibody targeting leukocyte immunoglobulin-like receptor B2 (LILRB2), was investigated in patients with advanced solid tumors as monotherapy and in combination with pembrolizumab, an anti-programmed cell death protein 1 (PD-1) antibody.

Methods: The study included patients with histologically or cytologically confirmed advanced and relapsed solid tumors, with measurable disease by Response Evaluation Criteria In Solid Tumors (RECIST) V.1.1. Patients were treated with escalating doses of IO-108 every 3 weeks (Q3W) as monotherapy and in combination with pembrolizumab. Safety and tolerability were the primary objectives. …

Tumor-Associated Antigen Prediction Using A Single-Sample Gene Expression State Inference Algorithm, Xinpei Yi, Hongwei Zhao, Shunjie Hu, Liangqing Dong, Yongchao Dou, Jing Li, Qiang Gao, Bing Zhang

Faculty, Staff and Students Publications

We developed a Bayesian-based algorithm to infer gene expression states in individual samples and incorporated it into a workflow to identify tumor-associated antigens (TAAs) across 33 cancer types using RNA sequencing (RNA-seq) data from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA). Our analysis identified 212 candidate TAAs, with 78 validated in independent RNA-seq datasets spanning seven cancer types. Eighteen of these TAAs were further corroborated by proteomics data, including 10 linked to liver cancer. We predicted that 38 peptides derived from these 10 TAAs would bind strongly to HLA-A02, the most common HLA allele. Experimental validation confirmed …

Association Of Clonal Hematopoiesis And Mosaic Chromosomal Alterations With Solid Malignancy Incidence And Mortality, Pinkal Desai, Ying Zhou, Justin Grenet, Samuel K Handelman, Cynthia M Crispino, Laura N Tarbay, Eric A Whitsel, Gail Roboz, Ana Barac, Michael Honigberg, Alexander Bick, Garnet Anderson, Jean Wactawski-Wende, Yasminka A Jakubek Swartzlander, Jason Bacon, Justin Wong, Xiaolong Ma, Paul Scheet, Zichan Li, Pashtoon Kasi, Ross Prentice, Paul Auer, Joann E Manson, Alexander Reiner, Michael Simon

Faculty, Staff and Student Publications

Background: Understanding the impact of clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) on solid tumor risk and mortality can shed light on novel cancer pathways.

Methods: The authors analyzed whole genome sequencing data from the Trans-Omics for Precision Medicine Women's Health Initiative study (n = 10,866). They investigated the presence of CHIP and mCA and their association with the development and mortality of breast, lung, and colorectal cancers.

Results: CHIP was associated with higher risk of breast (hazard ratio [HR], 1.30; 95% confidence interval [CI], 1.03-1.64; p = .02) but not colorectal (p = .77) or …

Disease Site Specialization In The Academic Radiation Oncology Workforce: Evidence Of Gender Differences, Kelsey L Corrigan, Mikaela E Bankston, Emma B Holliday, Simona F Shaitelman, Anna Lee, Chelain R Goodman, C David Fuller, Fumiko L Chino, Charles R Thomas, Reshma Jagsi, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: Because some stakeholders within medicine seek to diversify and attain greater workforce equity, it is critical to understand gender-based divisions within specialization. Radiation oncology (RO) has one of the smallest proportions of women representation of all specialties, and to our knowledge, no prior studies have investigated gender differences in all the disease site specializations within RO. Thus, we analyzed the relationship between gender and disease site(s) treated in academic RO (ARO).

Methods and materials: Faculty gender and disease site(s) treated by faculty from ARO departments were collected via publicly available department websites in January 2020. X2 analyses were conducted …

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

Faculty, Staff and Student Publications

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

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

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

Long-Read Sequencing Of An Advanced Cancer Cohort Resolves Rearrangements, Unravels Haplotypes, And Reveals Methylation Landscapes, Kieran O'Neill, Erin Pleasance, Jeremy Fan, Vahid Akbari, Glenn Chang, Katherine Dixon, Veronika Csizmok, Signe Maclennan, Vanessa Porter, Andrew Galbraith, Cameron J Grisdale, Luka Culibrk, John H Dupuis, Richard Corbett, James Hopkins, Reanne Bowlby, Pawan Pandoh, Duane E Smailus, Dean Cheng, Tina Wong, Connor Frey, Yaoqing Shen, Eleanor Lewis, Luis F Paulin, Fritz J Sedlazeck, Jessica M T Nelson, Eric Chuah, Karen L Mungall, Richard A Moore, Robin Coope, Andrew J Mungall, Melissa K Mcconechy, Laura M Williamson, Kasmintan A Schrader, Stephen Yip, Marco A Marra, Janessa Laskin, Steven J M Jones

Faculty, Staff and Students Publications

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can …

Estimating The Number Of Polygenic Diseases Among Six Mutually Exclusive Entities Of Non-Tumors And Cancer, C I Edvard Smith, Jan A Burger, Rula Zain

Faculty, Staff and Student Publications

In the era of precision medicine with increasing amounts of sequenced cancer and non-cancer genomes of different ancestries, we here enumerate the resulting polygenic disease entities. Based on the cell number status, we first identified six fundamental types of polygenic illnesses, five of which are non-cancerous. Like complex, non-tumor disorders, neoplasms normally carry alterations in multiple genes, including in 'Drivers' and 'Passengers'. However, tumors also lack certain genetic alterations/epigenetic changes, recently named 'Goners', which are toxic for the neoplasm and potentially constitute therapeutic targets. Drivers are considered essential for malignant transformation, whereas environmental influences vary considerably among both types of …

Genomic Alterations In Dna Mismatch Repair Genes Across Different Cancer Types, Vijaykumar R Holla, Michael P Kahle, Sun-Hee Kim, Arash Ronaghy, Richard K Yang, Keyur P Patel, Mark J Routbort, Michael J Overman, Ecaterina E Dumbrava, Kenna R Mills Shaw, Daniel D Karp, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Purpose: PD-1 inhibition is effective in patients with mismatch repair deficient (dMMR) solid tumors in a tumor-agnostic fashion. However, dMMR testing by immunohistochemistry (IHC) is not routinely performed across tumor types. By contrast, next-generation sequencing (NGS) for somatic genomic alterations is frequently performed across tumor types. We hypothesized that NGS would identify patients with alterations in mismatch repair (MMR) genes and that these patients would have higher rates of MMR protein loss by IHC. This would support the utility of IHC reflex testing after NGS and potential matching to approved therapeutic options.

Methods: From January 2016 to December 2021, 15,701 …

Efficacy Of Trastuzumab Deruxtecan In Her2-Expressing Solid Tumors By Enrollment Her2 Ihc Status: Post Hoc Analysis Of Destiny-Pantumor02, Ana Oaknin, Jung-Yun Lee, Vicky Makker, Do-Youn Oh, Susana Banerjee, Antonio González-Martín, Kyung Hae Jung, Iwona Ługowska, Luis Manso, Aránzazu Manzano, Bohuslav Melichar, Salvatore Siena, Daniil Stroyakovskiy, Anitra Fielding, Soham Puvvada, Ann Smith, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Introduction: DESTINY-PanTumor02 (NCT04482309) evaluated the efficacy and safety of trastuzumab deruxtecan (T-DXd) in pretreated patients with human epidermal growth factor receptor 2 (HER2)-expressing [immunohistochemistry (IHC) 3+/2+] solid tumors across seven cohorts: endometrial, cervical, ovarian, bladder, biliary tract, pancreatic, and other. Subgroup analyses by HER2 status were previously reported by central HER2 IHC testing, determined at enrollment or confirmed retrospectively. Reflecting the testing methods available in clinical practice, most patients (n = 202; 75.7%) were enrolled based on local HER2 IHC testing. Here, we report outcomes by HER2 IHC status as determined by the local or central test results …

Enriched G4 Forming Repeats In The Human Genome Are Associated With Robust Well-Coordinated Transcription And Reduced Cancer Transcriptome Variation, Ruth B De-Paula, Albino Bacolla, Aleem Syed, John A Tainer

Faculty, Staff and Student Publications

Non-B DNA G-quadruplex (G4) structures with guanine (G) runs of 2 to 4 repeats can trigger opposing experimental transcriptional impacts. Here, we used bioinformatic algorithms to comprehensively assess correlations of steady-state RNA transcript levels with all putative G4 sequence (pG4) locations genome-wide in three mammalian genomes and in normal and tumor human tissues. The human pG4-containing gene set displays higher expression levels than the set without pG4, supporting and extending some prior observations. pG4 enrichment at transcription start sites (TSSs) in human, but not chimpanzee and mouse genomes, suggests possible positive selection pressure for pG4 at human TSS, potentially driving …

Xenomake: A Pipeline For Processing And Sorting Xenograft Reads From Spatial Transcriptomic Experiments, Benjamin S Strope, Katherine E Pendleton, William Z Bowie, Gloria V Echeverria, Qian Zhu

Faculty, Staff and Students Publications

SUMMARY: Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provides a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline for the automated handling of spatial xenograft reads. Xenomake handles read processing, alignment, xenograft read sorting, and connects well with downstream spatial analysis packages. We additionally show that Xenomake can correctly assign organism-specific reads, reduce sparsity of data by …

Tumour-Intrinsic Pdl1 Signals Regulate The Chk2 Dna Damage Response In Cancer Cells And Mediate Resistance To Chk1 Inhibitors, Clare E Murray, Anand V R Kornepati, Carlos Ontiveros, Yiji Liao, Bárbara De La Peña Avalos, Cody M Rogers, Zexuan Liu, Yilun Deng, Haiyan Bai, Suresh Kari, Alvaro S Padron, Jacob T Boyd, Ryan Reyes, Curtis A Clark, Robert S Svatek, Rong Li, Yanfen Hu, Meiling Wang, José R Conejo-Garcia, Lauren A Byers, Kavya Ramkumar, Anil K Sood, Jung-Min Lee, Christin E Burd, Ratna K Vadlamudi, Harshita B Gupta, Weixing Zhao, Eloïse Dray, Patrick Sung, Tyler J Curiel

Faculty, Staff and Student Publications

Background: Aside from the canonical role of PDL1 as a tumour surface-expressed immune checkpoint molecule, tumour-intrinsic PDL1 signals regulate non-canonical immunopathological pathways mediating treatment resistance whose significance, mechanisms, and therapeutic targeting remain incompletely understood. Recent reports implicate tumour-intrinsic PDL1 signals in the DNA damage response (DDR), including promoting homologous recombination DNA damage repair and mRNA stability of DDR proteins, but many mechanistic details remain undefined.

Methods: We genetically depleted PDL1 from transplantable mouse and human cancer cell lines to understand consequences of tumour-intrinsic PDL1 signals in the DNA damage response. We complemented this work with studies of primary human tumours …

Developmental-Status-Aware Transcriptional Decomposition Establishes A Cell State Panorama Of Human Cancers, Yikai Luo, Han Liang

Faculty, Staff and Student Publications

Background: Cancer cells evolve under unique functional adaptations that unlock transcriptional programs embedded in adult stem and progenitor-like cells for progression, metastasis, and therapeutic resistance. However, it remains challenging to quantify the stemness-aware cell state of a tumor based on its gene expression profile.

Methods: We develop a developmental-status-aware transcriptional decomposition strategy using single-cell RNA-sequencing-derived tissue-specific fetal and adult cell signatures as anchors. We apply our method to various biological contexts, including developing human organs, adult human tissues, experimentally induced differentiation cultures, and bulk human tumors, to benchmark its performance and to reveal novel biology of entangled developmental signaling in …

Ten Challenges And Opportunities In Computational Immuno-Oncology, Riyue Bao, Alan Hutson, Anant Madabhushi, Vanessa D Jonsson, Spencer R Rosario, Jill S Barnholtz-Sloan, Elana J Fertig, Himangi Marathe, Lyndsay Harris, Jennifer Altreuter, Qingrong Chen, James Dignam, Andrew J Gentles, Edgar Gonzalez-Kozlova, Sacha Gnjatic, Erika Kim, Mark Long, Martin Morgan, Eytan Ruppin, David Van Valen, Hong Zhang, Natalie Vokes, Daoud Meerzaman, Song Liu, Eliezer M Van Allen, Yi Xing

Faculty, Staff and Student Publications

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary …

Micrornas Are Enriched At Covid-19 Genomic Risk Regions, And Their Blood Levels Correlate With The Covid-19 Prognosis Of Cancer Patients Infected By Sars-Cov-2, Simone Anfossi, Faezeh Darbaniyan, Joseph Quinlan, Steliana Calin, Masayoshi Shimizu, Meng Chen, Paola Rausseo, Michael Winters, Elena Bogatenkova, Kim-Anh Do, Ivan Martinez, Ziyi Li, Loredana Antal, Tudor Rares Olariu, Ignacio Wistuba, George A Calin

Faculty, Staff and Student Publications

Background: Cancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.

Patients and methods: Plasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in …

Proportional Hazards Violations In Phase Iii Cancer Clinical Trials: A Potential Source Of Trial Misinterpretation, Timothy A Lin, Zachary R Mccaw, Alex Koong, Christine Lin, Joseph Abi Jaoude, Roshal Patel, Ramez Kouzy, Molly B El Alam, Alexander D Sherry, Sonal S Noticewala, Clifton D Fuller, Charles R Thomas, Ryan Sun, J Jack Lee, Ruitao Lin, Ying Yuan, Yu Shyr, Tomer Meirson, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: Survival analyses of novel agents with long-term responders often exhibit differential hazard rates over time. Such proportional hazards violations (PHV) may reduce the power of the log-rank test and lead to misinterpretation of trial results. We aimed to characterize the incidence and study attributes associated with PHVs in phase III oncology trials and assess the utility of restricted mean survival time and maximum combination test as additional analyses.

Experimental design: Clinicaltrials.gov and PubMed were searched to identify two-arm, randomized, phase III superiority-design cancer trials with time-to-event primary endpoints and published results through 2020. Patient-level data were reconstructed from published …

Evaluating Debio 1347 In Patients With Fgfr Fusion-Positive Advanced Solid Tumors From The Fuze Multicenter, Open-Label, Phase Ii Basket Trial, Petros Grivas, Elena Garralda, Funda Meric-Bernstam, Ingo K Mellinghoff, Lipika Goyal, James J Harding, E Claire Dees, Rastislav Bahleda, Nilofer S Azad, Asha Karippot, Razelle Kurzrock, Josep Tabernero, Juha Kononen, Matthew C H Ng, Rutika Mehta, Nataliya V Uboha, Frédéric Bigot, Valentina Boni, Samantha E Bowyer, Valeriy Breder, Andrés Cervantes, Nancy Chan, James M Cleary, Mallika Dhawan, Rikke L Eefsen, James Ewing, Donna M Graham, Tormod K Guren, Jin Won Kim, Krassimir Koynov, Do-Youn Oh, Rebecca Redman, Chia-Jui Yen, David Spetzler, Marie-Claude Roubaudi-Fraschini, Valerie Nicolas-Metral, Rafik Ait-Sarkouh, Claudio Zanna, Abdallah Ennaji, Anna Pokorska-Bocci, Keith T Flaherty

Faculty, Staff and Student Publications

Purpose: This multicenter phase II basket trial investigated the efficacy, safety, and pharmacokinetics of Debio 1347, an investigational, oral, highly selective, ATP-competitive, small molecule inhibitor of FGFR1-3, in patients with solid tumors harboring a functional FGFR1-3 fusion.

Patients and methods: Eligible adults had a previously treated locally advanced (unresectable) or metastatic biliary tract (cohort 1), urothelial (cohort 2), or another histologic cancer type (cohort 3). Debio 1347 was administered at 80 mg once daily, continuously, in 28-day cycles. The primary endpoint was the objective response rate. Secondary endpoints included duration of response, progression-free survival, overall survival, pharmacokinetics, and incidence of …

First-In-Human Clinical Outcomes With Ng-350a, An Anti-Cd40 Expressing Tumor-Selective Vector Designed To Remodel Immunosuppressive Tumor Microenvironments, Aung Naing, Danny Khalil, Oliver Rosen, D Ross Camidge, Tom Lillie, Rui-Ru Ji, Andrea Stacey, Matthew Thomas, Lee Rosen

Faculty, Staff and Student Publications

Background: Tumor-selective oncolytic viral vectors are promising anticancer therapeutics; however, challenges with dosing and potency in advanced/metastatic cancers have limited efficacy and usage. NG-350A is a next-generation blood-stable adenoviral vector engineered to express an agonist anti-cluster of differentiation (CD)40 antibody without affecting tumor-selectivity and oncolytic potency.

Methods: Intravenous and intratumoral (IT) administration of NG-350A was assessed in a phase Ia/Ib study in patients with metastatic/advanced epithelial tumors (NCT03852511). Dose-escalation was performed separately for intravenous (four dose levels available, each with infusions on Days 1, 3 and 5 of a 57-day treatment period) and IT (single injection on D1 …

Interleukin-1 Receptor-Associated Kinase 1 In Cancer Metastasis And Therapeutic Resistance: Mechanistic Insights And Translational Advances., Mariana K Najjar, Munazza S Khan, Chuling Zhuang, Ankush Chandra, Hui-Wen Lo

Faculty, Staff and Student Publications

Interleukin-1 Receptor Associated Kinase 1 (IRAK1) is a serine/threonine kinase that plays a critical role as a signaling transducer of the activated Toll-like receptor (TLR)/Interleukin-1 receptor (IL-1R) signaling pathway in both immune cells and cancer cells. Upon hyperphosphorylation by IRAK4, IRAK1 forms a complex with TRAF6, which results in the eventual activation of the NF-κB and MAPK pathways. IRAK1 can translocate to the nucleus where it phosphorylates STAT3 transcription factor, leading to enhanced IL-10 gene expression. In immune cells, activated IRAK1 coordinates innate immunity against pathogens and mediates inflammatory responses. In cancer cells, IRAK1 is frequently activated, and the activation …

Phase I/Ii Study Of Bms-986156 With Ipilimumab Or Nivolumab With Or Without Stereotactic Ablative Radiotherapy In Patients With Advanced Solid Malignancies, Joe Y Chang, Xinyan Xu, Girish S Shroff, Nathan I Comeaux, Wei Li, Jordi Rodon Ahnert, Daniel D Karp, Ecaterina E Dumbrava, Vivek Verma, Aileen Chen, James Welsh, David S Hong

Faculty, Staff and Student Publications

Background: BMS-986156 is an agonist of the glucocorticoid-induced tumor necrosis factor receptor (TNFR)-related protein (GITR) and promotes increased effector T-cell activation. Combined anti-GITR, anti-programmed death-1, anti-cytotoxic T-lymphocyte-associated protein 4 antibodies and radiotherapy improve tumor control in preclinical studies. Herein we describe the results of the safety and efficacy of BMS-986156+ipilimumab or nivolumab with/without stereotactic ablative radiotherapy (SABR) in patients with advanced solid cancers (NCT04021043).

Methods: This open-label, multigroup, single-center phase I/II study enrolled patients with histologically-confirmed stage IV solid cancers resistant to standard treatments. Group 1 (G1, n=20) received four cycles of ipilimumab (3 mg/kg) plus BMS-986156 (30 …

The Impact Of A Web-Based Prognostic Calculator On Prognostic Confidence In Outpatient Palliative Care, David Hui, John P Maxwell, Allison De La Rosa, Kristofer Jennings, Marieberta Vidal, Akhila Reddy, Ahsan Azhar, Rony Dev, Kimberson Tanco, Yvonne Heung, Marvin Delgado-Guay, Donna Zhukovsky, Joseph Arthur, Suresh Reddy, Sriram Yennu, Amy Ontai, Eduardo Bruera

Faculty, Staff and Student Publications

Purpose: Clinicians are often uncertain about their prognostic estimates, which may impede prognostic communication and clinical decision-making. We assessed the impact of a web-based prognostic calculator on physicians' prognostic confidence.

Methods: In this prospective study, palliative care physicians estimated the prognosis of patients with advanced cancer in an outpatient clinic using the temporal, surprise, and probabilistic approaches for 6 m, 3 m, 2 m, 1 m, 2 w, 1 w, and 3 d. They then reviewed information from www.predictsurvival.com , which calculated survival estimates from seven validated prognostic scores, including the Palliative Prognostic Score, Palliative Prognostic Index, and Palliative Performance …

Immunologic Signatures Of Response And Resistance To Nivolumab With Ipilimumab In Advanced Metastatic Cancer, Apostolia M Tsimberidou, Farah A Alayli, Kwame Okrah, Alexandra Drakaki, Danny N Khalil, Shivaani Kummar, Saad A Khan, F Stephen Hodi, David Y Oh, Christopher R Cabanski, Shikha Gautam, Stefanie L Meier, Meelad Amouzgar, Shannon M Pfeiffer, Robin Kageyama, Enjun Yang, Marko Spasic, Michael T Tetzlaff, Wai Chin Foo, Travis J Hollmann, Yanyun Li, Matthew Adamow, Phillip Wong, Jonni S Moore, Sharlene Velichko, Richard O Chen, Dinesh Kumar, Samantha Bucktrout, Ramy Ibrahim, Ute Dugan, Lisa Salvador, Vanessa M Hubbard-Lucey, Jill O'Donnell-Tormey, Sandra Santulli-Marotto, Lisa H Butterfield, Diane M Da Silva, Justin Fairchild, Theresa M Lavallee, Lacey J Padrón, Padmanee Sharma

Faculty, Staff and Student Publications

Identifying pan-tumor biomarkers that predict responses to immune checkpoint inhibitors (ICI) is critically needed. In the AMADEUS clinical trial (NCT03651271), patients with various advanced solid tumors were assessed for changes in intratumoral CD8 percentages and their response to ICI. Patients were grouped based on tumoral CD8 levels: those with CD8 <15% (CD8-low) received nivolumab (anti-PD-1) plus ipilimumab (anti-CTLA4) and those with CD8 ≥15% (CD8-high) received nivolumab monotherapy. 79 patients (72 CD8-low and 7 CD8-high) were treated. The disease control rate was 25.0% (18/72; 95% CI: 15.8–35.2) in CD8-low and 14.3% (1/7; 95% CI: 1.1–43.8) in CD8-high. Tumors from 35.9% (14/39; 95% CI: 21.8–51.4) of patients converted from CD8 <15% pretreatment to ≥15% after treatment. Multiomic analyses showed that CD8-low responders had an inflammatory tumor microenvironment pretreatment, enhanced by an influx of CD8 T cells, CD4 T cells, B cells, and macrophages upon treatment. These findings reveal crucial pan-cancer immunological features for ICI response in patients with metastatic disease.

The History Of Chromosomal Instability In Genome-Doubled Tumors, Toby M Baker, Siqi Lai, Andrew R Lynch, Tom Lesluyes, Haixi Yan, Huw A Ogilvie, Annelien Verfaillie, Stefan Dentro, Amy L Bowes, Nischalan Pillay, Adrienne M Flanagan, Charles Swanton, Paul T Spellman, Maxime Tarabichi, Peter Van Loo

Faculty, Staff and Student Publications

Tumors frequently display high chromosomal instability and contain multiple copies of genomic regions. Here, we describe Gain Route Identification and Timing In Cancer (GRITIC), a generic method for timing genomic gains leading to complex copy number states, using single-sample bulk whole-genome sequencing data. By applying GRITIC to 6,091 tumors, we found that non-parsimonious evolution is frequent in the formation of complex copy number states in genome-doubled tumors. We measured chromosomal instability before and after genome duplication in human tumors and found that late genome doubling was followed by an increase in the rate of copy number gain. Copy number gains …