Medical Specialties Commons^™

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 …

Transplant-Associated Tma: The Conundrum Of Diagnosis And Treatment, Ang Li, Sarah E Sartain

Faculty, Staff and Students Publications

Transplant-associated thrombotic microangiopathy (TA-TMA) after hematopoietic cell transplantation is characterized by microangiopathic hemolytic anemia (MAHA) with persistent schistocytosis, elevated markers of hemolysis, thrombocytopenia, and microvascular thrombosis leading to ischemic injuries in the kidneys and other organs. The initial evaluation of the disease requires confirmation of non-immune MAHA and careful examination of known secondary causes of TMA. Due to increased likelihood of long-term renal failure and overall mortality, a rapid diagnosis and treatment of the underlying trigger is needed. However, the diagnostic criteria proposed to define TA-TMA remain insufficient. sC5b9, the soluble form of the membrane attack complex of the terminal …

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 …

Rna Splicing As A Biomarker And Phenotypic Driver Of Meningioma Dna-Methylation Groups, Nathan K Leclair, Abrar Choudury, William C Chen, Stephen T Magill, Kathleen Mccortney, Craig M Horbinski, Zhenhong Chen, Ezequiel Goldschmidt, Charlotte D Eaton, Ketan R Bulsara, Wenya Linda Bi, Akash J Patel, Felix Sahm, David Raleigh, Olga Anczukow

Faculty, Staff and Students Publications

BACKGROUND: Advances in our understanding of the molecular biology of meningiomas have led to significant gains in the ability to predict patient prognosis and tumor recurrence and to identify novel targets for therapeutic design. Specifically, classification of meningiomas based on DNA methylation has greatly improved our ability to risk stratify patients, however new questions have arisen in terms of the underlying impact these DNA-methylation signatures have on meningioma biology.

METHODS: This study utilizes RNA-sequencing data from 486 meningioma samples corresponding to 3 meningioma DNA-methylation groups (merlin-intact, immune-enriched, and hypermitotic), followed by in vitro experiments utilizing human meningioma cell lines.

RESULTS: …

Re: Proteomic Exploration Of Potential Blood Biomarkers In Haemophilic Arthropathy, Quang D La, David F Lo, Don D Shamilov

Rowan-Virtua School of Osteopathic Medicine Departmental Research

We wish to convey our reflections on the scholarly article titled “Proteomic exploration of potential blood biomarkers in haemophilic arthropathy” [1]. This investigation elucidates significant results concerning the plasma proteome of individuals afflicted with hemophilic arthropathy (HA) across a spectrum of severities, accentuating pivotal variations in protein expression correlated with disease severity and emphasizing the intricate nature of HA pathophysiology.

Blood Biomarkers In Down Syndrome: Facilitating Alzheimer's Disease Detection And Monitoring, Melissa Petersen, Lisi Flores-Aguilar, Elizabeth Head, Laia Montoliu-Gaya, Andre Strydom, Sarah Pape, Juan Fortea, Nicholas Ashton, Chinedu Momoh, Sid O'Bryant

Brain and Mind Institute

Blood-based biomarkers continue to be explored for disease detection, monitoring of progression, and therapeutic outcomes as the diagnostic determination of Alzheimer's Disease in Down Syndrome (DS-AD) remains challenging in clinical settings. This perspective highlights the current status of this effort. Overall, amyloid (A), tau (T), and neurodegeneration (AT[N]) blood-based biomarkers have been shown to increase with disease pathology for individuals with DS. Phosphorylated tau biomarkers (p-tau217, p-tau181) have been consistently shown to track disease progression for DS-AD and are likely good candidates for use in clinical settings. Biomarkers of inflammation (glial fibrillary acidic protein) also show promise; however, additional work …

Biological Validation Of Peak-Width Of Skeletonized Mean Diffusivity As A Vcid Biomarker: The Markvcid Consortium, Alison M Luckey, Saptaparni Ghosh, Chen-Pin Wang, Alexa Beiser, Rebecca Bernal, Zhiguang Li, Djass Mbangdadji, Elyas Fadaee, Haykel Snoussi, Angel Gabriel Velarde Dediós, Hector A Trevino, Monica Goss, Laura J Hillmer, Christopher E Bauer, Adam M Staffaroni, Lara Stables, Marilyn Albert, Jayandra J Himali, Thomas H Mosley, Lars Forsberg, Vilmundur Guðnason, Baljeet Singh, Herpreet Singh, Kristin Schwab, Joel H Kramer, Gary A Rosenberg, Karl G Helmer, Steven M Greenberg, Mohamad Habes, Danny J J Wang, Brian T Gold, Hanzhang Lu, Arvind Caprihan, Myriam Fornage, Lenore J Launer, Konstantinos Arfanakis, Sudha Seshadri, Charles Decarli, Pauline Maillard, Claudia L Satizabal

Faculty, Staff and Student Publications

BACKGROUND: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

METHODS: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567). PSMD was derived from diffusion tensor imaging using an automated algorithm. We related PSMD to a composite measure …

Health Implications Of Racial Differences In Serum Growth Differentiation Factor Levels Among Men With Obesity, Siresha Bathina, Virginia Fuenmayor Lopez, Mia Prado, Elliot Ballato, Georgia Colleluori, Maryam Tetlay, Dennis Tan Villareal, Sanjay Mediwala, Rui Chen, Clifford Qualls, Reina Armamento-Villareal

Faculty, Staff and Students Publications

Growth differentiation factor (GDF15) has been considered a biomarker and recently a hormonal driver for diseases in different populations. However, the role of GDF15 as a biomarker of health outcomes in obese men from different racial/ethnic background has not been evaluated. The objective of this study was to investigate the racial/ethnic differences on the relationship between GDF15 and markers of glucometabolic status, hormonal profile, body composition and bone mineral density (BMD) in obese men. One hundred ninety-three obese men from diverse racial/ethnic backgrounds were enrolled. BMD and body composition were measured by dual energy X-ray absorptiometry. Serum GDF15, osteocalcin, C-terminal …

Analysis Of Dna Methylation In Gliomas: Assessment Of Preanalytical Variables, Karol Bomsztyk, Daniel Mar, Oleg Denisenko, Suzanne Powell, Monika Vishnoi, Zheng Yin, Jennifer Delegard, Caroline Hadley, Nitin Tandon, Akash J Patel, Anoop P Patel, Richard G Ellenbogen, Rohan Ramakrishna, Robert C Rostomily

Faculty, Staff and Students Publications

Precision oncology is driven by biomarkers. For glioblastoma multiforme (GBM), the most common malignant adult primary brain tumor, O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation is an important prognostic and treatment clinical biomarker. Time consuming pre-analytical steps such as biospecimen storage, fixation, sampling, and processing are sources of data irreproducibility, and all these pre-analytical variables are confounded by intratumor heterogeneity of MGMT promoter methylation. To assess the effect of pre-analytical variables on GBM DNA methylation, tissue storage/sampling (CryoGrid), sample preparation multi-sonicator (PIXUL), and 5-methylcytosine (5mC) DNA immunoprecipitation (Matrix MeDIP-qPCR/seq) platforms were used. MGMT promoter methylation status assayed by MeDIP-qPCR was …

Random C-Peptide And Islet Antibodies At Onset Predict Β Cell Function Trajectory And Insulin Dependence In Pediatric Diabetes, Mustafa Tosur, Saima Deen, Xiaofan Huang, Serife Uysal, Marcela Astudillo, Richard A Oram, Maria J Redondo, Farook Jahoor, Ashok Balasubramanyam

Children’s Nutrition Research Center Staff Publications

Objective: Identification of prognostic biomarkers in pediatric diabetes is important for precision medicine. We assessed whether C-peptide and islet autoantibodies are useful to predict the natural history of children with new-onset diabetes.

Methods: We prospectively studied 72 children with new-onset diabetes (median follow-up: 8 months) by applying the Aβ classification system ("A+": islet autoantibody positive, "β+": random serum C-peptide ≥1.3 ng/mL at diagnosis). Beta-cell function was assessed longitudinally with 2 hours postprandial/stimulated urinary C-peptide-to-creatinine ratio (UCPCR) 3-12 weeks (V1) and 6 to 12 months after diagnosis (V2). We obtained a type 1 diabetes genetic risk score for each participant, and …

Role Of N-Glycosylation In Gastrointestinal Cancers, Ruirui Xu, Lois Balmer, Gengzhen Chen, Manshu Song

Research outputs 2022 to 2026

Gastrointestinal cancers pose a significant global health challenge. N-glycosylation modulates various cellular processes, including key cancer-related mechanisms. Elucidating its involvement in the onset and advancement of these cancers can offer critical insights for enhancing diagnostic and therapeutic approaches. This review outlines the core process of protein N-glycosylation and highlights its contribution to the progression of gastrointestinal cancers, encompassing cell proliferation, survival, invasion, metastasis, and immune evasion, mainly through its impact on critical signaling pathways. Notably, aberrant N-glycosylation patterns have emerged as crucial biomarkers for the diagnosis and prognosis of various gastrointestinal cancers, providing the foundation for more personalized therapeutic approaches. …

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 …

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 …

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, …

The Role Of Microrna-155 As A Biomarker In Diffuse Large B-Cell Lymphoma, Epameinondas Koumpis, Vasileios Georgoulis, Konstantina Papathanasiou, Alexandra Papoudou-Bai, Panagiotis Kanavaros, Evangelos Kolettas, Eleftheria Hatzimichael

Computational Medicine Center Faculty Papers

Diffuse Large B-cell Lymphoma (DLBCL) is the most common aggressive non-Hodgkin lymphoma (NHL). Despite the use of newer agents, such as polatuzumab vedotin, more than one-third of patients have ultimately relapsed or experienced refractory disease. MiRNAs are single-stranded, ~22-nucleotide-long RNAs that interact with their target RNA. They are significant regulators of post-transcriptional gene expression. One significant miRNA, miR-155, is involved in the pathophysiology of DLBCL and it is a critical modulator of hematopoiesis, inflammation, and immune responses. Targets of miR-155, such as histone deacetylase 4 (HDAC4), suppressor of cytokine signaling-1 (SOCS1) and immune cells, play a crucial role in DLBCL …

Addressing Statistical Challenges In The Analysis Of Proteomics Data With Extremely Small Sample Size: A Simulation Study, Kyung Hyun Lee, Shervin Assassi, Chandra Mohan, Claudia Pedroza

Faculty, Staff and Student Publications

Background: One of the most promising approaches for early and more precise disease prediction and diagnosis is through the inclusion of proteomics data augmented with clinical data. Clinical proteomics data is often characterized by its high dimensionality and extremely limited sample size, posing a significant challenge when employing machine learning techniques for extracting only the most relevant information. Although there is a wide array of statistical techniques and numerous analysis pipelines employed in proteomics data analysis, it is unclear which of these methods produce the most efficient, reproducible, and clinically meaningful results.

Results: In this study, we compared 9 unique …

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 …

Evaluation Of Sirtuin 1 As A Predictor Of Cardiovascular Outcomes In Diabetic Patients With Limb-Threatening Ischemia, Federico Biscetti, Maria Margherita Rando, Maria Anna Nicolazzi, Enrica Rossini, Michele Santoro, Flavia Angelini, Roberto Iezzi, Luis H. Eraso, Paul J. Dimuzio, Dario Pitocco, Massimo Massetti, Antonio Gasbarrini, Andrea Flex

Department of Surgery Faculty Papers

Chronic limb-threatening ischemia (CLTI) significantly increases the risk of major adverse limb events (MALE) and major adverse cardiac events (MACE) after lower extremity revascularization (LER). This study aims to identify novel biomarkers that help to further reduce the risk of postoperative cardiovascular complications. In this prospective, nonrandomized, observational study, baseline serum levels of sirtuin 1 (SIRT1) were assessed in 147 diabetic patients scheduled for LER due to CLTI, and participants were followed for the occurrence of MALE and MACE over 12 months. Fifty-three patients experienced MALE, and 33 experienced MACE within the follow-up period. Lower baseline SIRT1 levels were significantly …

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 …

Prognostic Stratification In Dlbcl Patients With Aberrant Myc Gene, Jian-Rong Li, Vikram R Shaw, Abi Parthasarathy, Yong Li, Christopher I Amos, Chao Cheng

Faculty, Staff and Students Publications

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease characterized by a subset of patients who exhibit treatment resistance and poor prognoses. Genomic assays have been widely employed to identify high-risk individuals characterized by rearrangements in the MYC, BCL2 and BCL6 genes. These patients typically undergo more aggressive therapeutic treatments; however, there remains a significant variation in their treatment outcomes. This study introduces an MYC signature score (MYCSS) derived from gene expression profiles, specifically designed to evaluate MYC overactivation in DLBCL patients. MYCSS was validated across several independent cohorts to assess its ability to stratify patients based on MYC-related genetic …

Identifying High-Risk Multiple Myeloma Patients: A Novel Approach Using A Clonal Gene Signature, Jian-Rong Li, Christiana Wang, Chao Cheng

Faculty, Staff and Students Publications

Multiple myeloma (MM) is a heterogeneous disease with a small subset of high-risk patients having poor prognoses. Identifying these patients is crucial for treatment management and strategic decisions. In this study, we developed a novel computational framework to define prognostic gene signatures by selecting genes with expression driven by clonal copy number alterations. We applied this framework to MM and developed a clonal gene signature (CGS) consisting of 22 genes and evaluated in five independent datasets. The CGS provided significant prognostic values after adjusting for well-established factors including cytogenetic abnormalities, International Staging System (ISS), and Revised ISS (R-ISS). Importantly, CGS …

National Liver Cancer Screening Trial (Tracer) Study Protocol, Amit G Singal, Neehar D Parikh, Fasiha Kanwal, Jorge A Marrero, Sneha Deodhar, Stephanie Page-Lester, Camden Lopez, Ziding Feng, Nabihah Tayob

Faculty, Staff and Students Publications

BACKGROUND: Professional guidelines recommend HCC screening in at-risk patients using semi-annual ultrasound with or without alpha-fetoprotein (AFP); however, this strategy has limited effectiveness due to low adherence and sensitivity. Increasing data support the potential role of blood-based biomarker panels, which could improve both aspects. The biomarker panel GALAD, comprised of sex, age, and 3 blood biomarkers (AFP, AFP-L3, and des-carboxy prothrombin des-carboxy prothrombin), has shown high sensitivity and specificity in biomarker phase II (case-control) and phase III (retrospective cohort) validation studies. However, prospective validation in a large phase IV biomarker clinical utility trial is necessary before its adoption in practice. …

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 …

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 …

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 …

The Contribution Of Neutrophil Extracellular Traps To Coagulopathy In Patients With Covid-19-Related Thrombosis, Carolyn Enochs, Gabriela Delevati Colpo, Lucy Couture, Lynae Baskin, Ana E Cahuiche, Eunyoung Angela Lee, Shahid Nimjee, Louise D Mccullough

Faculty, Staff and Student Publications

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is associated with hypercoagulability and increased incidence of thrombotic events. In this study, we investigated the levels of neutrophil extracellular trap biomarkers and von Willebrand factor to assess if these could predict the occurrence of a thrombotic event in COVID-19 patients. We enrolled 202 patients hospitalized with symptomatic COVID-19 infection. Of those, 104 patients did not experience any type of thrombotic events before or during their hospitalization. These patients were compared to the other cohort of 98, who experienced thrombotic events before or during their hospitalization. In total, …