Biomedical Informatics Commons^™

A Network-Based Discovery Of Prognostic Markers In Recurrent Idh Wild-Type Gliomas, Yang Liu, Jason Huse, Kasthuri Kannan

Faculty, Staff and Student Publications

Background: Isocitrate dehydrogenase wild-type (IDH wild-type) gliomas represents the most aggressive subtype of diffuse gliomas, characterized by therapeutic resistance and dismal prognosis. Despite advances in molecular classification, reliable prognostic biomarkers for these tumors remain limited, particularly for recurrent disease. This study aims to identify gene expression signatures associated with survival outcomes in recurrent IDH wild-type gliomas, with the goal of improving patient stratification and potential therapeutic targeting.

Methods: We analyzed gene expression data from 180 recurrent IDH wild-type glioma samples from the Glioma Longitudinal AnalySiS (GLASS) Consortium. Using multiple computational approaches including a novel network-based method (netSurvival) and various survival …

Correspondence To Letter To The Editor On “Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial”, Sung Hwan Lee, Sun Young Yim, Ji Hoon Kim, Sunyoung S Lee, Ahmed O Kaseb, Peng Wei, Ju-Seog Lee

Faculty, Staff and Student Publications

No abstract provided.

Longitudinal Genomic Profiling Of Chemotherapy-Related Chip Variants In Patients With Ovarian Cancer, Sara Corvigno, Jun Yao, Amma Asare, Li Zhao, Joseph Celestino, Richard A Hajek, Ency A Arboleda Goette, Ridge T Rogers, Raymond N Montoya, Ping Song, Qingxiu C Zhang, Xingzhi Song, Mohammad M Mohammad, Kenna R Shaw, Jianhua Zhang, Karen H Lu, Amir A Jazaeri, Shannon N Westin, Anil K Sood, Sanghoon Lee

Faculty, Staff and Student Publications

Introduction: Clonal hematopoiesis (CH) is characterized by the presence of hematopoietic stem cells (HSCs) with the potential of clonally expanding and giving rise to hematological malignancies. Clonal hematopoiesis of indeterminate potential (CHIP) is the outgrowth of a single HSC clone with an acquired somatic mutation in the absence of hematological abnormalities. CHIP variants occur with a variant allele frequency (VAF) of at least 2% in peripheral blood. This definition does not account for less frequent mutations that give rise to hematopoietic clones. Previous studies indicate an association between CH and secondary hematologic malignancies in cancer patients who receive chemotherapy.

Methods: …

Quantile Regression Based Method For Characterizing Risk-Specific Behavioral Patterns In Relation To Longitudinal Left-Censored Biomarker Data Collected From Heterogeneous Populations, Minjae Lee, Belinda M Reininger, Kelley Pettee Gabriel, Nalini Ranjit, Larkin L Strong

Faculty, Staff and Student Publications

There are many studies aimed at promoting positive lifestyle behaviors to reduce lifetime risk of cancer and related diseases. However, assessing these modifiable behaviors through statistical modeling is challenging because of the multidimensionality of interrelated measurements that may dramatically differ between at-risk individuals. Taking into account this heterogeneity while considering the multidimensionality of behavior changes is fundamental to tailoring interventions to their needs. Biomarkers that identify high-risk individuals may help validate proximal measures, but the number of validated methods that link biomarkers to multiple behavioral measurements by determining their dynamic relations with disease risks is limited to just a few, …

Tissue And Imaging Biomarkers Of Response To Neoadjuvant Nivolumab Or Nivolumab Plus Ipilimumab In Patients With Resectable Hepatocellular Carcinoma, Michael Lapelusa, Shadi Chamseddine, Hop Sanderson Tran Cao, Lianchun Xiao, Elshad Hasanov, Priya Bhosale, Hesham M Amin, Yehia I Mohamed, Betul Gok Yavuz, Yara Sakr, Li Xu, Ian Hu, Sunyoung S Lee, Divya Sakamuri, Sonali Jindal, Van Nguyen, Michael A Curran, Ryan Sun, Asif Rashid, Dan Gabriel Duda, Padmanee Sharma, Aliya Qayyum, Ahmed Omar Kaseb

Faculty, Staff and Student Publications

Introduction: Perioperative immunotherapy has shown promise in some patients with early-stage hepatocellular carcinoma (HCC). This study examined tissue and imaging biomarkers associated with pathologic response in a phase II clinical trial in patients with resectable HCC.

Methods: Analysis included 18 patients with biopsy-proven resectable HCC treated with neoadjuvant nivolumab plus ipilimumab or nivolumab alone in a phase II clinical trial at MD Anderson Cancer Center (NCT03222076). Liver MRE (to measure tissue fibrosis) and biopsies (to evaluate immune activation markers) were obtained serially pretreatment and after completing neoadjuvant immunotherapy. A major pathologic response (MPR) was defined as tumor necrosis …

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, …

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. …

Neurofilament Light Chain In Serum Of Cancer Patients With Acute Neurological Complications, Amulya Gottiparthy, Keng Lam, Suprateek Kundu, Zixi Yang, Ivo Tremont-Lukats, Sudhakar Tummala

Faculty, Staff and Student Publications

Aim: Neurofilament light chain (NfL) is a nonspecific sensitive biomarker of axonal damage.

Methods: This case series identified cancer patients with neurological complications who had serum NfL measurements and paired these results to outcomes.

Results: NfL serum levels were available in 15 patients with hematological malignancies or solid tumors. The neurological complications studied were immune effector cell-associated neurotoxicity syndrome, immune checkpoint inhibitor-related encephalopathy, anoxic brain injury, Guillain-Barre syndrome, hemophagocytic lymphohistiocytosis, transverse myelitis, paraneoplastic syndrome, central nervous system demyelinating disorder and chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids. All patients but one with serum NfL >900 pg/ml died …

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 …

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 …

Drug And Biomarker Tissue Levels In A Randomized Presurgical Trial On Exemestane Alternative Schedules, Davide Serrano, Harriet Johansson, Bjørn-Erik Bertelsen, Sara Gandini, Gunnar Mellgren, Parijatham Thomas, Katherine D Crew, Nagi B Kumar, Debora Macis, Valentina Aristarco, Aliana Guerrieri-Gonzaga, Matteo Lazzeroni, Mauro D'Amico, Tania Buttiron-Webber, Irene Maria Briata, Stefano Spinaci, Viviana Galimberti, Lana A Vornik, Eduardo Villar-Sanchez, Powel H Brown, Brandy M Heckman-Stoddard, Eva Szabo, Bernardo Bonanni, Andrea Decensi

Faculty, Staff and Student Publications

The drug's activity at the target tissue could help to define the minimal effective dose to promote cancer preventive therapy. Here we present exemestane and sex hormone concentrations within breast tissue from a presurgical study of alternative exemestane schedules. Postmenopausal women candidates for breast surgery for estrogen receptor-positive breast cancer were randomly assigned to exemestane 25 mg once daily (QD), 25 mg 3 times/week (TIW), or 25 mg per week (QW) for 4-6 weeks before surgery. Drug and sex hormones were analyzed from homogenized frozen tissue using a QTRAP 6500+ LC-MS/MS System. Tissue drug concentrations were detectable only in the …

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, …

Dna Methylation Classifier To Diagnose Pancreatic Ductal Adenocarcinoma Metastases From Different Anatomical Sites, Teodor G Calina, Eilís Perez, Elena Grafenhorst, Jamal Benhamida, Simon Schallenberg, Adrian Popescu, Ines Koch, Tobias Janik, Baoqing Chen, Jana Ihlow, Stephanie Roessler, Benjamin Goeppert, Bruno Sinn, Marcus Bahra, George A Calin, Eliane T Taube, Uwe Pelzer, Christopher C M Neumann, David Horst, Erik Knutsen, David Capper, Mihnea P Dragomir

Faculty, Staff and Student Publications

Background: We have recently constructed a DNA methylation classifier that can discriminate between pancreatic ductal adenocarcinoma (PAAD) liver metastasis and intrahepatic cholangiocarcinoma (iCCA) with high accuracy (PAAD-iCCA-Classifier). PAAD is one of the leading causes of cancer of unknown primary and diagnosis is based on exclusion of other malignancies. Therefore, our focus was to investigate whether the PAAD-iCCA-Classifier can be used to diagnose PAAD metastases from other sites.

Methods: For this scope, the anomaly detection filter of the initial classifier was expanded by 8 additional mimicker carcinomas, amounting to a total of 10 carcinomas in the negative class. We validated the …

Characterization Of Driver Mutations Identifies Gene Signatures Predictive Of Prognosis And Treatment Sensitivity In Multiple Myeloma, Jian-Rong Li, Abinand Krishna Parthasarathy, Aravind Singaram Kannappan, Shahram Arsang-Jang, Jing Dong, Chao Cheng

Faculty, Staff and Students Publications

In multiple myeloma (MM), while frequent mutations in driver genes are crucial for disease progression, they traditionally offer limited insights into patient prognosis. This study aims to enhance prognostic understanding in MM by analyzing pathway dysregulations in key cancer driver genes, thereby identifying actionable gene signatures. We conducted a detailed quantification of mutations and pathway dysregulations in 10 frequently mutated cancer driver genes in MM to characterize their comprehensive mutational impacts on the whole transcriptome. This was followed by a systematic survival analysis to identify significant gene signatures with enhanced prognostic value. Our systematic analysis highlighted 2 significant signatures, TP53 …

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 …

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 …

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 …