Medical Genetics Commons^™

Characterizing Spatial Immune Architecture In Metastatic Melanoma Using High-Dimensional Multiplex Imaging, Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Regan Baird, Elizabeth A Grimm, Michael A Davies, Dave S B Hoon, Arvind Rao, Jared K Burks, Suhendan Ekmekcioglu

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitors (ICIs) have significantly improved survival for patients with metastatic melanoma, yet many experienceresistance due to immunosuppressive mechanisms within the tumor immune microenvironment (TIME). Understanding how the spatial architecture of immune and inflammatory components changes across disease stages may reveal novel prognostic biomarkers and therapeutic targets.

Methods: We performed high-dimensional spatial profiling of two melanoma tissue microarrays (TMAs), representing Stage III (n = 157) and Stage IV (n = 248) metastatic tumors. Using imaging mass cytometry (IMC) and multiplex immunofluorescence (mIF), we characterized the phenotypic, functional, and spatial properties of the TIME. Cellular neighborhoods were …

Plasma Dna Methylation-Based Biomarkers For Mpnst Detection In Patients With Neurofibromatosis Type 1, Katarzyna Tomczak, Manishkumar S Patel, Angela D Bhalla, Christine B Peterson, Sharon M Landers, S Carson Callahan, Di Zhang, Justin Wong, Jace P Landry, Alexander J Lazar, J Andrew Livingston, B Ashleigh Guadagnolo, Heather G Lyu, Heather Lillemoe, Christina L Roland, Emily Z Keung, Christopher P Scally, Kelly K Hunt, Ian E Mccutcheon, John M Slopis, Jian Gu, Paul Scheet, Liang Wang, Kunal Rai, Keila E Torres

Faculty, Staff and Student Publications

Malignant peripheral nerve sheath tumor (MPNST) development is characterized by an altered DNA methylation landscape, which presents a promising area for developing MPNST-specific biomarkers for screening patients with NF1. Genome-wide DNA methylation profiling of a cohort of 13 patients with MPNST (29 samples of tumor and adjacent neurofibroma tissues) and of NF1-MPNST cell lines was performed to identify and validate candidate MPNST-specific CpG sites (CpGs). A logistic regression prediction model was constructed to select MPNST-specific CpGs distinct from adjacent neurofibromas and normal tissues. To test if hypermethylation at selected CpGs can also be detected in plasma from patients with MPNST, …

A Serum Biomarker Panel And Miniarray Detection System For Tracking Disease Activity And Flare Risk In Lupus Nephritis, Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Weihang Zhu, Richard Williams, Jing Ning, Ramesh Saxena, Tianfu Wu

Faculty, Staff and Student Publications

Introduction: Lupus nephritis (LN) leads to end stage renal disease (ESRD), and early diagnosis and disease monitoring of LN could significantly reduce the risk. however, there is not such a system clinically. In this study we aim to develop a biomarker-panel based point-of-care system for LN.

Methods: Immunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. A quantitative biomarker-panel mini-array (BPMA) system was developed and the sensitivity, specificity, reproducibility, and stability of the were examined. The performance of BPMA in disease monitoring was validated with machine models using a …

Integrating Multi-Omics Data To Uncover Prostate Tissue Dna Methylation Biomarkers And Target Genes For Prostate Cancer Risk, Shuai Liu, Jingjing Zhu, Dylan Green, Hua Zhong, Quan Long, Chong Wu, Liang Wang, Youping Deng, Lang Wu

Faculty, Staff and Student Publications

Previous studies have indicated that specific CpG sites may be linked to the risk of prostate cancer (PCa) by regulating the expression of PCa target genes. However, most existing studies aim to identify DNA methylation (DNAm) biomarkers through blood tissue genetic instruments, which impedes the identification of relevant biomarkers in prostate tissue. To identify PCa risk-associated CpG sites in prostate tissue, we established genetic prediction models of DNAm levels using data from normal prostate samples in the GTEx (N = 108) and assessed associations between genetically predicted DNAm in prostate and PCa risk by studying 122,188 cases and 604,640 controls. …

The American Cancer Society National Lung Cancer Roundtable Strategic Plan: Methods For Improving Turnaround Time Of Comprehensive Biomarker Testing In Non-Small Cell Lung Cancer, Sinchita Roy-Chowdhuri, Haresh Mani, Adam H Fox, Anne Tsao, Lynette M Sholl, Farhood Farjah, Bruce E Johnson, Raymond U Osarogiagbon, M Patricia Rivera, Gerard A Silvestri, Robert A Smith, Ignacio I Wistuba

Faculty, Staff and Student Publications

Comprehensive biomarker testing for patients with non-small cell lung cancer is critical for selecting appropriate targeted therapy or immunotherapy. Ensuring timely ordering, processing, and reporting is key to optimizing patient outcomes. However, various factors can prevent or delay patients from being offered the option of treatment selection based on comprehensive biomarker testing. These factors include problems with access to testing, tissue adequacy, turnaround time, and health insurance coverage and billing practices. Turnaround time depends on several logistical and tissue handling factors, which involve institutional policies, processes, resources, testing methodology, and testing algorithms that vary across different practices. In this article, …

The American Cancer Society National Lung Cancer Roundtable Strategic Plan: Advancing Comprehensive Biomarker Testing In Non-Small Cell Lung Cancer, Adam H Fox, Raymond U Osarogiagbon, Farhood Farjah, James R Jett, Bruce E Johnson, M Patricia Rivera, Robert A Smith, Ignacio I Wistuba, Gerard A Silvestri

Faculty, Staff and Student Publications

Comprehensive biomarker testing is a crucial requirement for the optimal treatment of advanced-stage non-small cell lung cancer (NSCLC), with emerging relevance in the adjuvant treatment setting. To advance its goal of ensuring optimal therapy for persons diagnosed with lung cancer, the American Cancer Society National Lung Cancer Roundtable (ACS NLCRT) held The Summit on Optimizing Lung Cancer Biomarkers in Practice in September 2020 to align its partners toward the goal of ensuring comprehensive biomarker testing for all eligible patients with NSCLC. The ACS NLCRT's Strategic Plan for Advancing Comprehensive Biomarker Testing in NSCLC, a product of the summit, comprises actions …

Diagnostic Power Of Serum Creatinine/Cystatin C Ratio For Identifying Low Mri-Muscle Volume And Low Grip Strength: Data From 9 731 To 149 707 Uk Biobank Older Adults, Ben Kirk, Chia Ling Kuo, Peiran Liu, Meiruo Xiang, Jesse Zanker, Konstantinos Prokopidis, Marc Sim, Richard H. Fortinsky, George A. Kuchel, Gustavo Duque

Research outputs 2022 to 2026

Background: Biomarkers for sarcopenia are lacking. We examined the diagnostic power of serum creatinine to cystatin C ratio for identifying low magnetic resonance imaging-muscle volume and low grip strength in a large observational study of UK Biobank older adults.

Methods: Serum creatinine and cystatin C were measured via immunoassays (Beckman Coulter AU5800 and Siemens Advia 1800, respectively) and grip strength by hydraulic hand dynamometer at baseline visit (2008-2010). magnetic resonance imaging-thigh fat-free muscle volume and DXA-derived appendicular lean mass were measured at imaging visit (2014-2018). Extreme outliers were removed, and covariates (demographic, lifestyle, and clinical factors, as well as time …

Immune Landscape Of Isocitrate Dehydrogenase-Stratified Primary And Recurrent Human Gliomas, Pravesh Gupta, Minghao Dang, Shivangi Oberai, Simona Migliozzi, Rakesh Trivedi, Gayatri Kumar, Mekenzie Peshoff, Nancy Milam, Aml Ahmed, Krishna Bojja, Tuan M Tran, Joy Gumin, Carlos Kamiya-Matsuoka, Jason Huse, Kathryn Cox, Jianzhuo Li, Huma Shehwana, Sameer A Sheth, Rodriguez Saxon, Sun Baohua, Brittany Parker Kerrigan, Atul Maheshwari, Edwin Roger Parra Cuentas, Nicholas E Navin, Amy B Heimberger, Frederick F Lang, Antonio Iavarone, Karen Clise-Dwyer, Linghua Wang, Krishna P Bhat

Faculty, Staff and Student Publications

Background: Human gliomas are classified using isocitrate dehydrogenase (IDH) status as a prognosticator; however, the influence of genetic differences and treatment effects on ensuing immunity remains unclear.

Methods: In this study, we used sequential single-cell transcriptomics on 144 678 and spectral cytometry on over 2 million immune cells encompassing 48 human gliomas to decipher their immune landscape.

Results: We identified 22 distinct immune cell types that contribute to glioma immunity. Specifically, brain-resident microglia (MG) were reduced with a concomitant increase in CD8+ T lymphocytes during glioma recurrence independent of IDH status. In contrast, IDH-wild type-associated patterns, such as an abundance …

Early Detection Of Pancreatic Cancer: Study Design And Analytical Considerations In Biomarker Discovery And Early Phase Validation Studies, Lynette M Smith, Douglas W Mahoney, William R Bamlet, Fang Yu, Suyu Liu, Michael G Goggins, Sourat Darabi, Shounak Majumder, Qiao-Li Wang, Gregory A Coté, Michael J Demeure, Zhen Zhang, Sudhir Srivastava, Akhil Chawla, Grant Izmirlian, Janet E Olson, Brian M Wolpin, Jeanine M Genkinger, Kenneth S Zaret, Randall Brand, Eugene J Koay, Ann L Oberg

Faculty, Staff and Student Publications

Objectives: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease that is challenging to detect at an early stage. Biomarkers are needed that can detect PDAC early in the course of disease when interventions lead to the best outcomes. We highlight study design and statistical considerations that inform pancreatic cancer early detection biomarker evaluation.

Methods: We describe experimental design strategies in this setting useful for streamlining biomarker evaluation at each Early Detection Research Network (EDRN) phase of biomarker development. We break the early EDRN phases into sub-phases, proposing objectives, study design strategies, and biomarker performance benchmarks.

Results: The goal of …

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 …

A Proteogenomic Analysis Of Cervical Cancer Reveals Therapeutic And Biological Insights, Jing Yu, Xiuqi Gui, Yunhao Zou, Qian Liu, Zhicheng Yang, Jusheng An, Xuan Guo, Kaihua Wang, Jiaming Guo, Manni Huang, Shuhan Zhou, Jing Zuo, Yimin Chen, Lu Deng, Guangwen Yuan, Ning Li, Yan Song, Jia Jia, Jia Zeng, Yuxi Zhao, Xianming Liu, Xiaoxian Du, Yansheng Liu, Pei Wang, Bing Zhang, Li Ding, Ana I Robles, Henry Rodriguez, Hu Zhou, Zhen Shao, Lingying Wu, Daming Gao

Faculty, Staff and Students Publications

Although the incidence of cervical cancer (CC) has been reduced in high-income countries due to human papillomavirus (HPV) vaccination and screening strategies, it remains a significant public health issue that poses a threat to women's health in low-income countries. Here, we perform a comprehensive proteogenomic profiling of CC tumors obtained from 139 Chinese women. Integrated proteogenomic analysis links genetic aberrations to downstream pathogenesis-related pathways and reveals the landscape of HPV-associated multi-omic changes. EP300 is found to enhance the acetylation of FOSL2-K222, consequently accelerating the malignant proliferation of CC cells. Proteomic stratification identifies three patient subgroups with distinct features in prognosis, …

A Rigorous Multi-Laboratory Study Of Known Pdac Biomarkers Identifies Increased Sensitivity And Specificity Over Ca19-9 Alone, Brian Haab, Lu Qian, Ben Staal, Maneesh Jain, Johannes Fahrmann, Christine Worthington, Denise Prosser, Liudmila Velokokhatnaya, Camden Lopez, Runlong Tang, Mark W Hurd, Gopalakrishnan Natarajan, Sushil Kumar, Lynette Smith, Sam Hanash, Surinder K Batra, Anirban Maitra, Anna Lokshin, Ying Huang, Randall E Brand

Faculty, Staff and Student Publications

A blood test that enables surveillance for early-stage pancreatic ductal adenocarcinoma (PDAC) is an urgent need. Independent laboratories have reported PDAC biomarkers that could improve biomarker performance over CA19-9 alone, but the performance of the previously reported biomarkers in combination is not known. Therefore, we conducted a coordinated case/control study across multiple laboratories using common sets of blinded training and validation samples (132 and 295 plasma samples, respectively) from PDAC patients and non-PDAC control subjects representing conditions under which surveillance occurs. We analyzed the training set to identify candidate biomarker combination panels using biomarkers across laboratories, and we applied the …

Intra-Tumoral And Peripheral Blood Tigit And Pd-1 As Immune Biomarkers In Nodular Lymphocyte Predominant Hodgkin Lymphoma, Jay Gunawardana, Soi C Law, Muhammed B Sabdia, Éanna Fennell, Aoife Hennessy, Ciara I Leahy, Paul G Murray, Karolina Bednarska, Sandra Brosda, Judith Trotman, Leanne Berkahn, Andreea Zaharia, Simone Birch, Melinda Burgess, Dipti Talaulikar, Justina N Lee, Emily Jude, Eliza A Hawkes, Sanjiv Jain, Karthik Nath, Cameron Snell, Fiona Swain, Joshua W D Tobin, Colm Keane, Mohamed Shanavas, Emily Blyth, Christian Steidl, Kerry Savage, Pedro Farinha, Merrill Boyle, Barbara Meissner, Michael R Green, Francisco Vega, Maher K Gandhi

Faculty, Staff and Student Publications

In classical Hodgkin lymphoma (cHL), responsiveness to immune-checkpoint blockade (ICB) is associated with specific tumor microenvironment (TME) and peripheral blood features. The role of ICB in nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is not established. To gain insights into its potential in NLPHL, we compared TME and peripheral blood signatures between HLs using an integrative multiomic analysis. A discovery/validation approach in 121 NLPHL and 114 cHL patients highlighted >2-fold enrichment in programmed cell death-1 (PD-1) and T-cell Ig and ITIM domain (TIGIT) gene expression for NLPHL versus cHL. Multiplex imaging showed marked increase in intra-tumoral protein expression of PD-1+ (and/or …

Molecular Profiling Of Braf-V600e-Mutant Metastatic Colorectal Cancer In The Phase 3 Beacon Crc Trial, Scott Kopetz, Danielle A Murphy, Jie Pu, Fortunato Ciardiello, Jayesh Desai, Eric Van Cutsem, Harpreet Singh Wasan, Takayuki Yoshino, Hedieh Saffari, Xiaosong Zhang, Phineas Hamilton, Tao Xie, Rona Yaeger, Josep Tabernero

Faculty, Staff and Student Publications

The BEACON CRC study demonstrated that encorafenib (Enco)+cetuximab (Cetux)±binimetinib (Bini) significantly improved overall survival (OS) versus Cetux + chemotherapy in previously treated patients with BRAF-V600E-mutant mCRC, providing the basis for the approval of the Enco+Cetux regimen in the United States and the European Union. A greater understanding of biomarkers predictive of response to Enco+Cetux±Bini treatment is of clinical relevance. In this prespecified, exploratory biomarker analysis of the BEACON CRC study, we characterize genomic and transcriptomic correlates of clinical outcomes and acquired resistance mechanisms through integrated clinical and molecular analysis, including whole-exome and -transcriptome tissue sequencing and circulating tumor DNA genomic …

Consensus Molecular Subtyping Of Metastatic Colorectal Cancer Expands Biomarker-Directed Therapeutic Benefit For Patients With Cms1 And Cms2 Tumors, Saikat Chowdhury, Joanne Xiu, Jennifer R Ribeiro, Theodore Nicolaides, Jian Zhang, W Michael Korn, Kelsey A Poorman, Heinz-Josef Lenz, John L Marshall, Matthew J Oberley, George W Sledge, David Spetzler, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

Background: We developed a whole transcriptome sequencing (WTS)-based Consensus Molecular Subtypes (CMS) classifier using FFPE tissue and investigated its prognostic and predictive utility in a large clinico-genomic database of CRC patients (n = 24,939).

Methods: The classifier was trained against the original CMS datasets using an SVM model and validated in an independent blinded TCGA dataset (88.0% accuracy). Kaplan-Meier estimates of overall survival (OS) and time-on-treatment (TOT) were calculated for each CMS (p < 0.05 considered significant).

Results: CMS2 tumors were enriched on left-side of colon and conferred the longest median OS. In RAS-wildtype mCRC, left-sided tumors and CMS2 classification were associated with longer …

Senescence Biomarkers And Trajectories Of Frailty And Physical Function After Kidney Transplantation, Elizabeth C Lorenz, Byron H Smith, Hani M Wadei, Girish Mour, Cassie C Kennedy, Carrie A Schinstock, Walter K Kremers, Andrea L Cheville, Latonya J Hickson, Elizabeth J Atkinson, Thomas A White, Andrew D Rule, Nathan K Lebrasseur

Faculty, Staff and Students Publications

Cellular senescence is a biological mechanism of aging and age-related diseases. The aim of this study was to examine whether senescence biomarkers are associated with frailty and physical function trajectories in patients undergoing kidney transplantation (KT). We also discussed the relationship between senescence biomarkers and KT function. In this multicenter study, we prospectively assessed plasma levels of senescence biomarkers, frailty as measured by the Physical Frailty Phenotype, and physical function as measured by the Short Physical Performance Battery prior to KT. Frailty, physical function, and KT function were also measured 1 year after KT. Variable associations were assessed using Cox …

Unmasking Neuroendocrine Prostate Cancer With A Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression, Agustina Sabater, Pablo Sanchis, Rocio Seniuk, Gaston Pascual, Nicolas Anselmino, Daniel F Alonso, Federico Cayol, Elba Vazquez, Marcelo Marti, Javier Cotignola, Ayelen Toro, Estefania Labanca, Juan Bizzotto, Geraldine Gueron

Faculty, Staff and Student Publications

Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting seven-gene signature (KMT5C, DPP4, TYMS, CDC25B, IRF5, MEN1, and DNMT3B) was validated across independent cohorts and patient-derived xenograft (PDX) models. This signature demonstrated strong prognostic value for progression-free, disease-free, relapse-free, metastasis-free, and overall survival. Importantly, the signature not only identified specific NEPC subtypes, …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Exposure To Per- And Polyfluoroalkyl Substances And Alterations In Plasma Microrna Profiles In Children, Yijie Li, Brittney O Baumert, Nikos Stratakis, Jesse A Goodrich, Haotian Wu, Shelley H Liu, Hongxu Wang, Emily Beglarian, Scott M Bartell, Sandrah Proctor Eckel, Douglas Walker, Damaskini Valvi, Michele Andrea La Merrill, Thomas H Inge, Todd Jenkins, Justin R Ryder, Stephanie Sisley, Rohit Kohli, Stavra A Xanthakos, Marina Vafeiadi, Aikaterini Margetaki, Theano Roumeliotaki, Max Aung, Rob Mcconnell, Andrea Baccarelli, David Conti, Lida Chatzi

Faculty, Staff and Students Publications

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals that persist in the environment and can accumulate in humans, leading to adverse health effects. MicroRNAs (miRNAs) are emerging biomarkers that can advance the understanding of the mechanisms of PFAS effects on human health. However, little is known about the associations between PFAS exposures and miRNA alterations in humans.

OBJECTIVE: To investigate associations between PFAS concentrations and miRNA levels in children.

METHODS: Data from two distinct cohorts were utilized: 176 participants (average age 17.1 years; 75.6% female) from the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) cohort in the United States, and …

Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee

Faculty, Staff and Student Publications

Background/aims: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.

Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full …

Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash

Faculty, Staff and Student Publications

Background: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement.

Methods: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which …

Challenges And Opportunities For Early Phase Clinical Trials Of Novel Drug-Radiotherapy Combinations: Recommendations From Nrg Oncology, The American Society For Radiation Oncology (Astro), The American College Of Radiology (Acr), The Sarah Cannon Research Institute, And The American College Of Radiation Oncology (Acro), Zachary S Zumsteg, Siddharth Sheth, Salma K Jabbour, Krishnan R Patel, Randall J Kimple, Terence M Williams, Meng Xu-Welliver, Pedro A Torres-Saavedra, Arta M Monjazeb, Jyoti Mayadev, Steven E Finkelstein, John M Buatti, Sandip P Patel, Steven H Lin

Faculty, Staff and Student Publications

NRG Oncology's Developmental Therapeutics and Radiation Therapy Subcommittee assembled an interdisciplinary group of investigators to address barriers to successful early phase clinical trials of novel combination therapies involving radiation. This Policy Review elucidates some of the many challenges associated with study design for early phase trials combining radiotherapy with novel systemic agents, which are distinct from drug-drug combination development and are often overlooked. We also advocate for potential solutions that could mitigate or eliminate some of these barriers, providing examples of specific clinical trial designs that could help facilitate efficient and effective evaluation of novel drug-radiotherapy combinations.

Artificial Intelligence Applications In Oral Cancer And Oral Dysplasia, Chi T Viet, Michael Zhang, Neeraja Dharmaraj, Grace Y Li, Alexander T Pearson, Victoria A Manon, Anupama Grandhi, Ke Xu, Bradley E Aouizerat, Simon Young

Faculty, Staff and Student Publications

Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating mortality rates that have not changed over the past decades, in the face of advancements in treatments and biomarkers, which have improved survival for other cancers. Delays in diagnosis are frequent, leading to more disfiguring treatments and poor outcomes for patients. The clinical challenge lies in identifying those patients at the highest risk of developing OSCC. Oral epithelial dysplasia (OED) is a precursor of OSCC with highly variable behavior across patients. There is no reliable clinical, pathological, histological, or molecular biomarker to determine individual risk in OED patients. …

The Qiba Profile For Diffusion-Weighted Mri: Apparent Diffusion Coefficient As A Quantitative Imaging Biomarker, Michael A Boss, Dariya Malyarenko, Savannah Partridge, Nancy Obuchowski, Amita Shukla-Dave, Jessica M Winfield, Clifton D Fuller, Kevin Miller, Virendra Mishra, Michael Ohliger, Lisa J Wilmes, Raj Attariwala, Trevor Andrews, Nandita M Desouza, Daniel J Margolis, Thomas L Chenevert

Faculty, Staff and Student Publications

The apparent diffusion coefficient (ADC) provides a quantitative measure of water mobility that can be used to probe alterations in tissue microstructure due to disease or treatment. Establishment of the accepted level of variance in ADC measurements for each clinical application is critical for its successful implementation. The Diffusion-Weighted Imaging Biomarker Committee of the Quantitative Imaging Biomarkers Alliance (QIBA) has recently advanced the ADC Profile from the consensus to clinically feasible stage for the brain, liver, prostate, and breast. This profile distills multiple studies on ADC repeatability and describes detailed procedures to achieve stated performance claims on an observed ADC …

Unlocking Ferroptosis In Prostate Cancer – The Road To Novel Therapies And Imaging Markers, Pham Hong Anh Cao, Abishai Dominic, Fabiola Ester Lujan, Sanjanaa Senthilkumar, Pratip K Bhattacharya, Daniel E Frigo, Elavarasan Subramani

Faculty, Staff and Student Publications

Ferroptosis is a distinct form of regulated cell death that is predominantly driven by the build-up of intracellular iron and lipid peroxides. Ferroptosis suppression is widely accepted to contribute to the pathogenesis of several tumours including prostate cancer. Results from some studies reported that prostate cancer cells can be highly susceptible to ferroptosis inducers, providing potential for an interesting new avenue of therapeutic intervention for advanced prostate cancer. In this Perspective, we describe novel molecular underpinnings and metabolic drivers of ferroptosis, analyse the functions and mechanisms of ferroptosis in tumours, and highlight prostate cancer-specific susceptibilities to ferroptosis by connecting ferroptosis …

A Protein Expression Atlas On Tissue Samples And Cell Lines From Cancer Patients Provides Insights Into Tumor Heterogeneity And Dependencies, Jun Li, Wei Liu, Kamalika Mojumdar, Hong Kim, Zhicheng Zhou, Zhenlin Ju, Shwetha V Kumar, Patrick Kwok-Shing Ng, Han Chen, Michael A Davies, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) are foundational resources in cancer research, providing extensive molecular and phenotypic data. However, large-scale proteomic data across various cancer types for these cohorts remain limited. Here, we expand upon our previous work to generate high-quality protein expression data for approximately 8,000 TCGA patient samples and around 900 CCLE cell line samples, covering 447 clinically relevant proteins, using reverse-phase protein arrays. These protein expression profiles offer profound insights into intertumor heterogeneity and cancer dependency and serve as sensitive functional readouts for somatic alterations. We develop a systematic protein-centered strategy …

Oculomics Analysis In Multiple Sclerosis: Current Ophthalmic Clinical And Imaging Biomarkers, Alex Suh, Gilad Hampel, Aditya Vinjamuri, Joshua Ong, Sharif Amit Kamran, Ethan Waisberg, Phani Paladugu, Nasif Zaman, Prithul Sarker, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, …

Genome-Wide Association Study Meta-Analysis Of Neurofilament Light (Nfl) Levels In Blood Reveals Novel Loci Related To Neurodegeneration, Shahzad Ahmad, Mohammad Aslam Imtiaz, Aniket Mishra, Ruiqi Wang, Marisol Herrera-Rivero, Joshua C Bis, Myriam Fornage, Gennady Roshchupkin, Edith Hofer, Mark Logue, W T Longstreth, Rui Xia, Vincent Bouteloup, Thomas Mosley, Lenore J Launer, Michael Khalil, Jens Kuhle, Robert A Rissman, Genevieve Chene, Carole Dufouil, Luc Djoussé, Michael J Lyons, Kenneth J Mukamal, William S Kremen, Carol E Franz, Reinhold Schmidt, Stephanie Debette, Monique M B Breteler, Klaus Berger, Qiong Yang, Sudha Seshadri, N Ahmad Aziz, Mohsen Ghanbari, M Arfan Ikram

Faculty, Staff and Student Publications

Neurofilament light chain (NfL) levels in circulation have been established as a sensitive biomarker of neuro-axonal damage across a range of neurodegenerative disorders. Elucidation of the genetic architecture of blood NfL levels could provide new insights into molecular mechanisms underlying neurodegenerative disorders. In this meta-analysis of genome-wide association studies (GWAS) of blood NfL levels from eleven cohorts of European ancestry, we identify two genome-wide significant loci at 16p12 (UMOD) and 17q24 (SLC39A11). We observe association of three loci at 1q43 (FMN2), 12q14, and 12q21 with blood NfL levels in the meta-analysis of African-American ancestry. In the trans-ethnic meta-analysis, we identify …

Three-Year Overall Survival Outcomes And Correlative Analyses In Patients With Nsclc And High (50%-89%) Versus Very High (≥90%) Programmed Death-Ligand 1 Expression Treated With First-Line Pembrolizumab Or Cemiplimab, Biagio Ricciuti, Arielle Elkrief, Jessica Lin, Jianjun Zhang, Joao V Alessi, Giuseppe Lamberti, Malini Gandhi, Alessandro Di Federico, Federica Pecci, Xinan Wang, Maisam Makarem, Cassio Murilo Hidalgo Filho, Teresa Gorria, Arushi Saini, Cindy Pabon, James Lindsay, Kathleen L Pfaff, Emma L Welsh, Mizuki Nishino, Lynette M Sholl, Scott Rodig, Saadettin Kilickap, Petra Rietschel, Debra Ag Mcintyre, Jean-Francois Pouliot, Mehmet Altan, Justin F Gainor, John V Heymach, Adam J Schoenfeld, Mark M Awad

Faculty, Staff and Student Publications

Introduction: Responses to first-line programmed cell death protein 1 inhibition vary among patients with metastatic NSCLC and a programmed death-ligand 1 (PD-L1) tumor proportion score (TPS) greater than or equal to 50%. We previously reported improved clinical outcomes to first-line programmed cell death protein 1 inhibition in patients with metastatic NSCLC with a PD-L1 TPS of greater than or equal to 90% versus 50% to 89% in a pilot study. Here, we report the three-year survival with first-line pembrolizumab and cemiplimab in two large independent cohorts of patients with PD-L1 TPS greater than or equal to 90% versus 50% to …

Transcriptome Profiling Of Pediatric Extracranial Solid Tumors And Lymphomas Enables Rapid Low-Cost Diagnostic Classification, Kofi B Opoku, Teresa Santiago, Priya Kumar, Sophia M Roush, Yuri Fedoriw, Tamiwe Tomoka, Vasiliki Leventaki, Larissa V Furtado, Nickhill Bhakta, Thomas B Alexander, Jeremy R Wang

Faculty, Staff and Student Publications

Approximately 80% of pediatric tumors occur in low- and middle-income countries (LMIC), where diagnostic tools essential for treatment decisions are often unavailable or incomplete. Development of cost-effective molecular diagnostics will help bridge the cancer diagnostic gap and ultimately improve pediatric cancer outcomes in LMIC settings. We investigated the feasibility of using nanopore whole transcriptome sequencing on formalin-fixed paraffin embedded (FFPE)-derived RNA and a composite machine learning model for pediatric solid tumor diagnosis. Transcriptome cDNA sequencing was performed on a heterogenous set of 221 FFPE and 32 fresh frozen pediatric solid tumor and lymphoma specimens on Oxford Nanopore Technologies' sequencing platforms. …