Genetic Phenomena Commons^™

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

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 …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

Characterization Of The Germline Pathogenic Mutational Landscape And Oncologic Outcomes Among 877 Patients With Invasive Lobular Carcinoma, Victoria D Huynh, Jason Mouabbi, Henry M Kuerer, Kerollos Nashat Wanis, Hiam M Abdel-Salam, Angelica M Gutierrez, Helen M Johnson, Anthony Lucci, Kelly K Hunt, Banu K Arun

Faculty, Staff and Student Publications

Purpose: There is a paucity of literature on germline pathogenic variants (gPVs) in patients with invasive lobular carcinoma (ILC). This study characterizes the landscape and compares clinicopathologic variables and treatment outcomes between those with and without gPVs.

Methods: A prospectively maintained institutional database was used to identify all patients diagnosed with nonmetastatic ILC who had germline genetic testing. Clinicopathologic characteristics and time to recurrence, contralateral cancer, and death were compared for patients with and without gPVs. Conditional hazard ratios, computed by Cox proportional hazards models, described associations between clinicopathologic factors, including gPV status, and cancer events.

Results: Of 4398 patients …

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. …

Machine-Learning Driven Strategies For Adapting Immunotherapy In Metastatic Nsclc, Maliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky, Shenduo Li, Milena Petranovic, Carol C Wu, Brett W Carter, Girish S Shroff, Tina Cascone, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Simon Heeke, Ajay Sheshadri, Joe Y Chang, Percy P Lee, Zhongxing Liao, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Ignacio I Wistuba, Cara Haymaker, Seyedali Mirjalili, David Jaffray, Justin F Gainor, Yanyan Lou, Alessandro Di Federico, Federica Pecci, Mark Awad, Biagio Ricciuti, John V Heymach, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remains limited, and single-feature biomarkers like PD-L1 prove inadequate. We develop a machine learning model using clinicogenomic data from four cohorts (MD Anderson n = 750; Mayo Clinic n = 80; Dana-Farber n = 1077; Stand Up To Cancer n = 393) to predict individual benefit from adding chemotherapy. Benefit scores are calculated using five distinct functions derived from 28 genomic and 6 clinical features. Our integrated model, A-STEP (Attention-based …

Detection Of Oncogenic Fusions In Colorectal Cancer Using A Partner-Agnostic Next-Generation Sequencing Approach, Andrew J Pellatt, Reagan M Barnett, Sante Gnerre, Kristin Edwards, Jason A Willis, Michael J Overmann, Kanwal Raghav, Christine M Parseghian, Arvind Dasari, M Pia Morelli, Alisha Bent, Madhulika Eluri, Nicholas Hornstein, Leylah M Drusbosky, Scott Kopetz, Van K Morris

Faculty, Staff and Student Publications

Background: Gene fusions exist with low prevalence in colorectal cancer (CRC), and the clinical utility of fusion testing in advanced CRC remains unclear. We sought to identify oncogenic fusions in patients with advanced CRC using a fusion partner-agnostic circulating tumor DNA (ctDNA) assay to better understand their clinical relevance.

Methods: We performed a retrospective analysis using de-identified data from 18,558 patients with advanced CRC who underwent ctDNA next-generation sequencing with Guardant360® from 2017 to 2022. These samples were subsequently reanalyzed with a partner-agnostic bioinformatics method to identify both clonal and non-clonal fusions. We analyzed for associations between fusions and MSI-H …

Ctdna Analysis In Erbb2-Amplified Colorectal Cancer: Biomarker Analysis Of The Mypathway Trial, Funda Meric-Bernstam, Kanwal Pratap Singh Raghav, Christopher J Sweeney, Charles Swanton, David R Spigel, Ron Bose, Howard A Burris, Claire F Friedman, Carin R Espenschied, Jessica M Grindheim, Julia Malato, Katja Schulze, Richard Price, Razelle Kurzrock

Faculty, Staff and Student Publications

Purpose: A combination of two HER2-directed antibodies, pertuzumab and trastuzumab (P + T), has antitumor activity in HER2-positive colorectal cancer. Although liquid biopsies are increasingly being used in clinical oncology, the association between tumor and ctDNA ERBB2 status and ctDNA monitoring for early response and resistance are unknown.

Patients and methods: Eighty-five patients with ERBB2-amplified and/or -overexpressed colorectal cancer were treated with P + T in the MyPathway trial; 42 had ctDNA testing at cycle (C) 1 day (D) 1, and 38 had longitudinal plasma tested for ctDNA. We analyzed the ctDNA versus tissue ERBB2 concordance, genomic co-alterations, and ctDNA …

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 …

Cat: A Conditional Association Test For Microbiome Data Using A Permutation Approach, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert R Jenq, Christine B Peterson

Faculty, Staff and Student Publications

In microbiome analysis, researchers often seek to identify taxonomic features associated with an outcome of interest. However, microbiome features are intercorrelated and linked by phylogenetic relationships, making it challenging to assess the association between an individual feature and an outcome. This paper proposes a novel conditional association test, CAT, that can account for other features and phylogenetic relatedness when testing the association between a feature and an outcome. CAT adopts a permutation approach, measuring the importance of a feature in predicting the outcome by permuting operational taxonomic unit/amplicon sequence variant counts belonging to that feature from the data and quantifying …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

Blood-Based Proteomic Profiling Identifies Osmr As A Novel Biomarker Of Aml Outcomes, Patrick K Reville, Bofei Wang, Jennifer Marvin-Peek, Bin Yuan, Yu-An Kuo, Araceli Garza, Jessica Root, Wei Qiao, Andrea Arruda, Ivo Veletic, Yiwei Liu, Nicholas J Short, Courtney D Dinardo, Tapan M Kadia, Naval G Daver, Philip L Lorenzi, Koji Sasaki, Steven Kornblau, Mark D Minden, Farhad Ravandi, Hagop M Kantarjian, Hussein A Abbas

Faculty, Staff and Student Publications

Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathogenesis. We performed blood-based proteomic profiling of 251 inflammatory proteins in 543 patients with newly diagnosed AML. Using a machine learning model, we derived an 8-protein prognostic score termed the leukemia inflammatory risk score (LIRS). Individual proteins were evaluated in multivariable Cox models, and model performance was assessed by cumulative concordance index. Findings were validated in internal and external cohorts across 2 institutions. Blood-based LIRS significantly outperformed the European LeukemiaNet 2022 risk model and was independently prognostic of overall survival after accounting for known clinical and molecular …

Integrated Metabolomics And Spatial Transcriptomics Of Cystic Pancreatic Cancer Precursors Reveals Dysregulated Polyamine Metabolism As A Biomarker Of Progression, Ricardo A León-Letelier, Yihui Chen, Rongzhang Dou, Ehsan Irajizad, Michele T Yip-Schneider, Ranran Wu, Rahmah Ejaz, Hamid K Rudsari, Yaxi Li, Rachelle Spencer, Riccardo Ballarò, Jody Vykoukal, Mark Hurd, Jennifer B Dennison, Kim-Anh Do, Anirban Maitra, Jianjun Zhang, Samir Hanash, C Max Schmidt, Johannes F Fahrmann

Faculty, Staff and Student Publications

Purpose: We conducted metabolomics and spatial cell transcriptomics of intraductal papillary mucinous neoplasms (IPMN), recognized pancreatic cancer precursors, to identify oncometabolites that inform upon risk of malignancy of IPMNs.

Experimental design: Untargeted metabolomic analyses were performed on cystic fluid from 125 patients with low-grade (LG) dysplasia or high-grade (HG) dysplasia with/without concurrent pancreatic ductal adenocarcinoma (PDAC; IPMN/PDAC). Predictive performance of individual metabolites for identifying HG or PDAC/IPMN was determined and compared with CA19-9 performance. Data were intersected with metabolic profiles of resected IPMN tissues and murine Kras;Gnas IPMN cell lines as well as spatial and single-cell transcriptomics of IPMNs.

Results: …

Time Dependency For Human Papillomavirus Circulating Tumor Dna Detection After Chemoradiation As A Prognostic Biomarker For Localized Anal Cancer, Van K Morris, Weihong Xiao, Kangyu Lin, Chi Wut Wong, Michael T Wotman, Emma B Holliday, Ryan W Huey, Sonal S Noticewala, Ethan B Ludmir, Alisha H Bent, Kaysia Ludford, Craig Messick, Eugene J Koay, Grace Smith, Tsuyoshi Konishi, Brian Bednarski, George J Chang, Albert C Koong, Y Nancy You, Prajnan Das, Maura L Gillison

Faculty, Staff and Student Publications

Purpose: Although detection of ctDNA weeks after surgery is linked to recurrence for other solid tumors, the optimal time point for ctDNA assessment as a prognostic biomarker following chemoradiation for anal cancer is undefined.

Experimental design: Patients with stages I to III anal cancer treated with chemoradiation between December 2020 and March 2024 were evaluated for human papillomavirus (HPV) ctDNA status at baseline, at the end of chemoradiation, and during surveillance using a droplet digital HPV ctDNA PCR assay, targeting HPV E6 and E7 oncogenes for 13 oncogenic HPV types. Median recurrence-free survival (RFS) according to HPV ctDNA status was …

Proteomic-Based Stemness Score Measures Oncogenic Dedifferentiation And Enables The Identification Of Druggable Targets, Iga Kołodziejczak-Guglas, Renan L S Simões, Emerson De Souza Santos, Elizabeth G Demicco, Rossana N Lazcano Segura, Weiping Ma, Pei Wang, Yifat Geffen, Erik Storrs, Francesca Petralia, Antonio Colaprico, Felipe Da Veiga Leprevost, Pietro Pugliese, Michele Ceccarelli, Houtan Noushmehr, Alexey I Nesvizhskii, Bożena Kamińska, Waldemar Priebe, Jan Lubiński, Bing Zhang, Alexander J Lazar, Paweł Kurzawa, Mehdi Mesri, Ana I Robles, Clinical Proteomic Tumor Analysis Consortium, Li Ding, Tathiane M Malta, Maciej Wiznerowicz

Faculty, Staff and Student Publications

Cancer progression and therapeutic resistance are closely linked to a stemness phenotype. Here, we introduce a protein-expression-based stemness index (PROTsi) to evaluate oncogenic dedifferentiation in relation to histopathology, molecular features, and clinical outcomes. Utilizing datasets from the Clinical Proteomic Tumor Analysis Consortium across 11 tumor types, we validate PROTsi's effectiveness in accurately quantifying stem-like features. Through integration of PROTsi with multi-omics, including protein post-translational modifications, we identify molecular features associated with stemness and proteins that act as active nodes within transcriptional networks, driving tumor aggressiveness. Proteins highly correlated with stemness were identified as potential drug targets, both shared and tumor …

The Present And Future Of Precision Oncology And Tumor-Agnostic Therapeutic Approaches, Nakul M Shah, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Precision oncology has transformed the treatment landscape for patients with advanced solid tumors. Tumor-agnostic therapies, those that have been approved based on genetic mutations or biomarkers across tumor histology types, are important examples of how the implementation of precision oncology can expand therapeutic options for patients, especially those with rare cancer types and treatment-refractory disease. In this review, we first discuss how advances in next-generation sequencing and molecular profiling have enabled the identification of shared actionable alterations. Subsequently, we explore the current landscape of tumor-agnostic therapies that have received approval from the Food and Drug Administration. We discuss the strengths …

Plasma Insulin-Like Growth Factor-Binding Protein-7 Is Positively Associated With Age, Obesity, Mortality, And Cancer In Postmenopausal Women, Melissa C Orenduff, Carl F Pieper, Emma H Allott, Michael F Coleman, Su Yon Jung, Mara Z Vitolins, Jenifer I Fenton, Chu Chen, Candyce H Kroenke, Fred K Tabung, Ana Barac, Electra D Paskett, Michael N Pollak, Jennifer Hays-Grudo, Shine Chang, Stephen D Hursting

Faculty, Staff and Student Publications

Background: Predictors of premature death and cancer development are needed to more precisely identify individuals who may warrant preventive intervention. Circulating insulin-like growth factor (IGF)-binding protein-7 (IGFBP7) and, to a lesser extent, the IGFBP7/IGF-1 ratio are emerging biomarkers of renal and cardiovascular morbidity. However, their relationships with aging, obesity, mortality, and cancer risk remain unclear.

Methods: This hypothesis-generating study investigated plasma IGFBP7, IGF-1, and their ratio as predictors of all-cause mortality and the incidence of any cancer (excluding nonmelanoma skin cancer), obesity-related cancer (composite of 13 cancer types), and breast cancer in a large longitudinal cohort of postmenopausal women. We …

Novel Treatment-Specific Causal Biomarkers For Colorectal Cancer By Omics Integration, Akram Yazdani, Azam Yazdani, Raul Mendez-Giraldez, Gianluigi Pillonetto, Esmat Samiei, Reza Hadi, Heinz-Josef Lenz, Alan P Venook, Ahmad Samiei, Andrew B Nixon, Joseph A Lucci, Scott Kopetz, Monica M Bertagnolli, Federico Innocenti

Faculty, Staff and Student Publications

While monoclonal antibody-based targeted therapies have substantially improved progression-free survival in cancer patients, the variability in individual responses poses a significant challenge in patient care. Therefore, identifying cancer subtypes and their associated biomarkers is required for assigning effective treatment. In this study, we integrated genotype and pre-treatment tissue RNA-seq data and identified biomarkers causally associated with the overall survival (OS) of colorectal cancer (CRC) patients treated with either cetuximab or bevacizumab. We performed enrichment analysis for specific consensus molecular subtypes (CMS) of CRC and evaluated differential expression of identified genes using paired tumor and normal tissue from an external cohort. …

Multicancer Early Detection Tests At A Crossroads: Commercial Availability Ahead Of Definitive Evidence, Carmen E Guerra, Jennifer Keating Litton, Carolina E Viswanath, A Mark Fendrick

Faculty, Staff and Student Publications

Multicancer early detection tests (MCEDs), sometimes referred to as liquid biopsies, are tests that can screen for multiple cancers by analyzing blood, urine, and other bodily fluids for biomarkers released by cancer cells. These tests have the potential to change the cancer screening paradigm if they are shown to reduce cancer mortality. However, it is not yet known whether MCEDs reduce mortality. Randomized controlled trials, the gold standard for evaluating cancer screening programs, are currently evaluating the effectiveness of MCEDs. However, because cancer-specific and all-cause mortality are end points that can take years to reach, trials are being designed with …

Genomic Characterization Of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features In Black Individuals, Katherine A Lawson-Michod, Jeffrey R Marks, Lindsay J Collin, David A Nix, Natalie R Davidson, Chad D Huff, Yao Yu, Aaron Atkinson, Courtney E Johnson, Lucas A Salas, Lauren C Peres, Casey S Greene, Joellen M Schildkraut, Jennifer A Doherty

Faculty, Staff and Student Publications

Black individuals experience worse survival after a diagnosis of high-grade serous ovarian carcinoma (HGSC) than White individuals and are underrepresented in ovarian cancer research. To date, the understanding of the molecular and genomic heterogeneity of HGSC is based primarily on the evaluation of tumors from White individuals. In the present study, we performed whole-exome sequencing on HGSC samples from 211 Black patients to identify significantly mutated genes and characterize mutational signatures, assessing their distributions by gene expression subtypes. The occurrence and frequency of somatic mutations and signatures by self-reported race were compared with historic data from The Cancer Genome Atlas …

Longitudinal Profiling Of Circulating Tumor Dna Reveals The Evolutionary Dynamics Of Metastatic Prostate Cancer During Serial Therapy, Yuehui Zhao, Naveen Ramesh, Ping Xu, Emi Sei, Min Hu, Shanshan Bai, Patricia Troncoso, Ana M Aparicio, Christopher J Logothetis, Paul G Corn, Nicholas E Navin, Amado J Zurita

Faculty, Staff and Student Publications

Treatment decisions in metastatic castration-resistant prostate cancer are mostly guided by clinical variables, but efforts to molecularly monitor the disease remain hampered by challenges in acquiring tumor tissue repeatedly. In this study, we simultaneously profiled the genome copy number and exome in longitudinal plasma circulating tumor DNA (ctDNA) acquired before, during, and upon progression to serial treatments with androgen signaling inhibitors and taxane chemotherapy from 60 patients with metastatic castration-resistant prostate cancer (2-10 samples per patient). The genomic data were used to delineate the clonal substructure and evolutionary dynamics of each patient, and an evolutionary dynamic index was developed to …

Phase Ii Trial Of Atezolizumab And Bevacizumab For Treatment Of Hpv-Positive Unresectable Or Metastatic Squamous Cell Carcinoma Of The Anal Canal, Van K Morris, Suyu Liu, Kangyu Lin, Haifeng Zhu, Seema Prasad, Armeen Mahvash, Priya Bhosale, Baohua Sun, Edwin R Parra, Ignacio Wistuba, Arjun Peddireddy, James Yao, Julia Mendoza-Perez, Mark Knafl, Scott E Woodman, Cathy Eng, Daniel Halperin

Faculty, Staff and Student Publications

Purpose: Anti-PD-L1 antibodies are associated with responses in < 25% of patients with metastatic human papillomavirus-associated malignancies. VEGF signaling causes immune evasion and immune suppression within the tumor. We evaluated the anti-PD-L1 antibody atezolizumab and anti-VEGF antibody bevacizumab for patients with unresectable, advanced anal cancer.

Patients and methods: For this phase II study, participants with previously treated, immunotherapy-naïve anal cancer received atezolizumab (1,200 mg) and bevacizumab (15 mg/kg) intravenously every 21 days. Responses were evaluated every 9 weeks (RECIST version 1.1). The primary endpoint was the best radiographic response. Median survival was estimated by Kaplan-Meier and compared for selected biomarkers (including paired pre- and on-treatment biopsies) using a log-rank test.

Results: Among 20 participants, the overall response rate was 11% [95% confidence interval (CI): 1.2-32]. Median progression-free survival and overall survival were 4.1 months (95% CI, 2.6-not …

A Biomarker Signature-Guided Clinical Trial Design For Precision Medicine, Yuan Li, Dejian Lai, Ruosha Li, Han Chen, Xuelin Huang, Jing Ning

Faculty, Staff and Student Publications

Targeted cancer therapies aim to effectively treat patients with specific biomarker profiles. Nevertheless, these therapies may not always precisely hit their intended targets, leading to uncertainty about the specific subset of patients who will benefit. To address this uncertainty, the identification of sensitive patient subsets in clinical trials becomes crucial. Our proposed phase IIB/III clinical trial design seeks to pinpoint a biomarker signature with precision, ensuring the accurate identification of patients who will respond to a specific treatment. This approach allows for the selective enrollment of sensitive patients to maximize benefits for trial participants. We incorporate Bayesian methodology to facilitate …

Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Todd E Peterson, Gary T Smith, Kangyu Lin, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning

Faculty, Staff and Student Publications

Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.

Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Nicotinic Acetylcholine Receptor Expression In Merkel Cell Carcinoma Is Associated With Clinical And Histopathologic Parameters, Christopher R Cunningham, Yiannis P Dimopoulos, Ian M García-Quiñones, Denái R Milton, Manuel Delgado-Vélez, Woo Cheal Cho, Victor G Prieto, José A Lasalde-Dominicci, Leomar Y Ballester, Phyu P Aung

Faculty, Staff and Student Publications

Background: Merkel cell carcinoma (MCC) is a rare, aggressive cutaneous malignancy with neuroendocrine differentiation. Several molecular pathways have been implicated in MCC development and multiple cell-of-origin candidates have been proposed, including neural crest cells, which express acetylcholine receptors (AChRs). The role of nicotinic acetylcholine receptors (nAChRs) in MCC has not been explored. In this study, we investigated if MCC expresses nAChRs and if nAChR expression correlates with patient characteristics.

Methods: The study included 71 MCC cases diagnosed with sufficient tissue available to perform immunohistochemical analysis. The median follow-up was 29.8 months (range, 2.7-234.1). We performed immunohistochemistry using antibodies against the …

Pediatric Myeloid Neoplasms With Ubtf Tandem Duplications: Morphologic, Immunophenotypic, And Clinical Characterization, Mahsa Khanlari, Wei Wang, Yonghui Ni, Paul E Mead, Masayuki Umeda, Tami Westover, Jing Ma, Jeffrey E Rubnitz, Juan M Barajas, Stanley Pounds, Jeffery M Klco

Faculty, Staff and Student Publications

Tandem duplications (TDs) in exons of upstream binding transcription factor (UBTF-TD) are a rare recurrent alteration in pediatric and adult acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS)/neoplasm. Although recently identified, AML with UBTF-TD is now considered a distinct subtype of AML. To further our understanding of myeloid neoplasms with UBTF-TD, we analyzed clinical, morphologic, and immunophenotypic characteristics of 27 pediatric patients with UBTF-TD-positive myeloid neoplasm, including 21 diagnosed as AML and 6 as MDS. Our data demonstrated that UBTF-TD is frequently associated with cytopenia, hypercellular marrow with erythroid hyperplasia, and trilineage dysplasia. Blasts …

An Exosome-Based Liquid Biopsy Predicts Depth Of Response And Survival Outcomes To Cetuximab And Panitumumab In Metastatic Colorectal Cancer: The Exonerate Study, Caiming Xu, Alessandro Mannucci, Francis Esposito, Helena Oliveres, Vicente Alonso-Orduña, Alfonso Yubero, Carlos Fernández-Martos, Antonieta Salud, Javier Gallego, Marta Martín-Richard, Julen Fernández-Plana, Mónica Guillot, Jorge Aparicio, Marwan Fakih, Scott Kopetz, Jaime Feliu, Joan Maurel, Ajay Goel

Faculty, Staff and Student Publications

Purpose: The EXOsome and cell-free miRNAs of anti-EGFR ResistAnce (EXONERATE) study was an open-label, biomarker interventional study designed to develop, test, and validate a liquid biopsy predictive of progression-free survival (PFS), overall survival (OS), and objective response rate (ORR) for first-line EGFR inhibitors in metastatic colorectal cancer (mCRC).

Patients and methods: Patients with newly diagnosed RAS wild-type, chemotherapy-naïve mCRC, both right- and left-sided, were enrolled in two nationwide trials to receive cetuximab or panitumumab along with chemotherapy. The primary endpoint was 12-month PFS, which was hierarchically tested in left- and right-sided mCRCs to predict PFS, OS, and ORR.

Results: Genome-wide …

Ca-125 As A Biomarker In Renal Medullary Carcinoma: Integrated Molecular Profiling, Functional Characterization, And Prospective Clinical Validation, Sandra L Grimm, Menuka Karki, Kyle A Blum, Jean-Philippe Bertocchio, Rong He, Durga N Tripathi, Niki M Zacharias, Justin M Lebenthal, Rahul A Sheth, Priya Rao, Giannicola Genovese, Zhen Lu, Robert C Bast, Davis R Ingram, Rossana Lazcano, Khalida M Wani, Wei-Lien Wang, Alexander J Lazar, Nizar M Tannir, Cheryl L Walker, Cristian Coarfa, Pavlos Msaouel

Faculty, Staff and Student Publications

Purpose: Renal medullary carcinoma (RMC) is a highly aggressive malignancy defined by the loss of the SMARCB1 tumor suppressor. It mainly affects young individuals of African descent with sickle cell trait, and it is resistant to conventional therapies used for other renal cell carcinomas. This study aimed to identify potential biomarkers for early detection and disease monitoring of RMC.

Experimental design: Integrated profiling of primary untreated RMC tumor tissues and paired adjacent kidney controls was performed using RNA sequencing and histone chromatin immunoprecipitation sequencing. The expression of serum cancer antigen 125 (CA-125), was prospectively evaluated in 47 patients with RMC. …

Consensus Recommendations For An Integrated Diagnostic Approach To Peripheral Nerve Sheath Tumors Arising In The Setting Of Neurofibromatosis Type 1, Calixto-Hope G Lucas, Andrea M Gross, Carlos G Romo, Carina A Dehner, Alexander J Lazar, Markku Miettinen, Melike Pekmezci, Martha Quezado, Fausto J Rodriguez, Anat Stemmer-Rachamimov, David Viskochil, Arie Perry

Faculty, Staff and Student Publications

Consensus recommendations published in 2017 histologically defining atypical neurofibromatous neoplasm of uncertain biologic potential (ANNUBP) and malignant peripheral nerve sheath tumor (MPNST) were codified in the 2021 WHO Classification of Tumors of the Central Nervous System and the 2022 WHO Classification of Tumors of Soft Tissue and Bone. However, given the shift in diagnostic pathology toward the use of integrated histopathologic and genomic approaches, the incorporation of additional molecular strata in the classification of Neurofibromatosis Type 1 (NF1)-associated peripheral nerve sheath tumors should be formalized to aid in accurate diagnosis and early identification of malignant transformation and enable appropriate intervention …