Biomedical Informatics Commons^™

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

Faculty, Staff and Student Publications

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

Cytotoxic And Regulatory T Cell Interactions Calculated From Image Mass Cytometry Predict Immunochemotherapy Response In Triple-Negative Breast Cancer, Xiang Wang, Jing Dong, Jian-Rong Li, Yupei Lin, Bikram Sahoo, Yong Li, Yanhong Liu, Robert Taylor Ripley, Jia Wu, Jianjun Zhang, Christopher I Amos, Chao Cheng

Faculty, Staff and Student Publications

No abstract provided.

Dna Damage Response Signatures Are Associated With Frontline Chemotherapy Response And Routes Of Tumor Evolution In Extensive Stage Small Cell Lung Cancer, Benjamin B Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R Tyson, Kyle Concannon, Kavya Ramkumar, C Allison Stewart, Robert J Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V Heymach, Barzin Y Nabet, David S Shames, Carl M Gay, Lauren A Byers

Faculty, Staff and Student Publications

Introduction: A hallmark of small cell lung cancer (SCLC) is its recalcitrance to therapy. While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. Previous reports have linked upregulation of the DNA damage response (DDR) machinery to chemoresistance and immune evasion across cancers. However, it is unknown if SCLCs exhibit distinct DDR phenotypes.

Methods: To study SCLC DDR phenotypes, we developed a new DDR gene analysis method and applied it to SCLC clinical samples, in vitro, and in vivo model systems. We then investigated how DDR regulation is …

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

Faculty, Staff and Student Publications

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

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

Results: Genome-wide …

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

Faculty, Staff and Student Publications

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

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

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

Faculty, Staff and Student Publications

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

Drbioright 20: An Llm-Powered Bioinformatics Chatbot For Large-Scale Cancer Functional Proteomics Analysis, Wei Liu, Jun Li, Yitao Tang, Yining Zhao, Chaozhong Liu, Meiyi Song, Zhenlin Ju, Shwetha V Kumar, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

Functional proteomics provides critical insights into cancer mechanisms, facilitating the discovery of novel biomarkers and therapeutic targets. We have developed a comprehensive cancer functional proteomics resource using reverse phase protein arrays, incorporating data from nearly 8000 patient samples from The Cancer Genome Atlas and approximately 900 samples from the Cancer Cell Line Encyclopedia. Our dataset includes a curated panel of nearly 500 high-quality antibodies, covering all major cancer hallmark pathways. To enhance the accessibility and analytic power of this resource, we introduce DrBioRight 2.0 ( https://drbioright.org ), an intuitive bioinformatic platform powered by state-of-the-art large language models. DrBioRight enables researchers …

A Novel Sensitivity Maximization At A Given Specificity Method For Binary Classifications, Seyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, Samir Hanash, Kim-Anh Do, James P Long, Ehsan Irajizad

Faculty, Staff and Student Publications

In the cancer early detection field, logistic regression (LR) is a frequently used approach to establish a combination rule that differentiates cancer from noncancer. However, the application of LR relies on a maximum likelihood approach, which may not yield optimal combination rules for maximizing sensitivity at a clinically desirable specificity and vice versa. In this article, we have developed an improved regression framework, sensitivity maximization at a given specificity (SMAGS), for binary classification that finds the linear decision rule, yielding the maximum sensitivity for a given specificity or the maximum specificity for a given sensitivity. We additionally expand the framework …

Predicting Chemotherapy Responsiveness In Gastric Cancer Through Machine Learning Analysis Of Genome, Immune, And Neutrophil Signatures, Shota Sasagawa, Yoshitaka Honma, Xinxin Peng, Kazuhiro Maejima, Koji Nagaoka, Yukari Kobayashi, Ayako Oosawa, Todd A Johnson, Yuki Okawa, Han Liang, Kazuhiro Kakimi, Yasuhide Yamada, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Background: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-related mortality worldwide. This study was initiated to address the variability in patient responses to combination chemotherapy, highlighting the need for personalized treatment strategies based on genomic data.

Methods: We analyzed whole-genome and RNA sequences from biopsy specimens of 65 advanced gastric cancer patients before their chemotherapy treatment. Using machine learning techniques, we developed a model with 123 omics features, such as immune signatures and copy number variations, to predict their chemotherapy outcomes.

Results: The model demonstrated a prediction accuracy of 70-80% in forecasting chemotherapy responses in …

Molecular Testing For The World Health Organization Classification Of Central Nervous System Tumors: A Review, Craig Horbinski, David A Solomon, Rimas V Lukas, Roger J Packer, Priscilla Brastianos, Patrick Y Wen, Matija Snuderl, Mitchel S Berger, Susan Chang, Maryam Fouladi, Joanna J Phillips, Burt Nabors, Daniel J Brat, Jason T Huse, Kenneth Aldape, Jann N Sarkaria, Matthias Holdhoff, Terry C Burns, Katherine B Peters, Ingo K Mellinghoff, David Arons, Evanthia Galanis

Faculty, Staff and Student Publications

Importance: Molecular techniques, including next-generation sequencing, genomic copy number profiling, fusion transcript detection, and genomic DNA methylation arrays, are now indispensable tools for the workup of central nervous system (CNS) tumors. Yet there remains a great deal of heterogeneity in using such biomarker testing across institutions and hospital systems. This is in large part because there is a persistent reluctance among third-party payers to cover molecular testing. The objective of this Review is to describe why comprehensive molecular biomarker testing is now required for the accurate diagnosis and grading and prognostication of CNS tumors and, in so doing, to justify …

Immunological Biomarkers Of Response And Resistance To Treatment With Cabozantinib And Nivolumab In Recurrent Endometrial Cancer, Vladimir Roudko, Diane Marie Del Valle, Emir Radkevich, Geoffrey Kelly, Xie Hui, Manishkumar Patel, Edgar Gonzalez-Kozlova, Kevin Tuballes, Howard Streicher, Swati Atale, Lisa Wang, Benito Czinczin, Seunghee Kim-Schulze, Ignacio I Wistuba, Cara L Haymaker, Gheath Al-Atrash, Ganiraju Manyam, Jianjun Zhang, Ryan Thompson, Mayte Suarez-Farinas, Stephanie Lheureux, Sacha Gnjatic

Faculty, Staff and Student Publications

Background: Antiangiogenics combined with immune checkpoint blockade have become standard of care for recurrent endometrial cancer after standard platinum-based chemotherapy. To dissect mechanisms and define biomarkers associated with clinical outcomes to these combinations, we applied multidimensional immune monitoring to peripheral blood specimens collected from a randomized phase 2 trial of nivolumab with or without cabozantinib in 75 evaluable patients with recurrent endometrial cancer (NCI ETCTN 10104, NCT03367741). This trial demonstrated superiority of the combination to nivolumab alone.

Methods and results: Using Olink proteomics, mass cytometry, tumor antigen-specific ELISA, and whole exome tumor sequencing, we identified longitudinal immune signatures specific …

Next-Generation Sequencing-Based Msi Scoring Predicts Benefit In Mismatch Repair-Deficient Tumors Treated With Nivolumab: Follow-Up On Nci-Match Arm Z1d, Jonathan D Schoenfeld, Nilofer S Azad, Jacob Gross, Li Chen, Michael J Overman, Katrina Kao, Latifa Jackson, Donna Brunnquell, Xiangning Bu, Christina Coppola, Ping Guan, Jennifer Lee, David Sims, Rebecca Fuchs, Jason L Weirather, Kathleen L Pfaff, Lauren Gunasti, Srin Ranasinghe, Stanley R Hamilton, Victoria Wang, Peter J O'Dwyer, Catherine J Wu, Scott J Rodig, David R Patton, Lyndsay Harris

Faculty, Staff and Student Publications

Purpose: Mismatch repair-deficient (dMMR) tumors have demonstrated favorable responses to immune checkpoint inhibition targeting PD-1. However, more in-depth identification of predictors of response could further refine patient selection for immunotherapy treatment.

Patients and methods: We undertook integrated evaluation performed on samples collected from 28 of 42 patients enrolled on the NCI-Molecular Analysis for Therapy Choice arm Z1D trial that evaluated PD-1 inhibition treatment with nivolumab in patients with noncolorectal dMMR tumors. Genomic analyses were performed using next-generation sequencing (NGS), whole-exome sequencing, and RNA sequencing and supplemented by multiplex immunofluorescence performed on tissue samples.

Results: In this dMMR population, more extensive …

Reassessing Estrogen Receptor Expression Thresholds For Breast Cancer Prognosis In Her2-Negative Patients Using Shape Restricted Modeling, Wenli Dong, Takeo Fujii, Jing Ning, Toshiaki Iwase, Jing Qin, Naoto T Ueno, Yu Shen

Faculty, Staff and Student Publications

We used a novel shape-restricted Cox model to determine the desirable ER expression cutoff to predict breast cancer prognoses. Our model treats ER as a continuous variable using a flexible monotone-shaped Cox regression to assess its association with survival outcomes holistically. The study included 3055 patients with stage II/III HER2-negative breast cancer. The primary outcomes were time to recurrence or death (TTR) and overall survival (OS). The shape-restricted Cox model identified 10% ER as the preferred cutoff to predict TTR. The finding was confirmed by the log-rank test and standard Cox model that patients with ER ≥ 10% had TTR …

Single-Cell Rna Sequencing Identifies Molecular Biomarkers Predicting Late Progression To Cdk4/6 Inhibition In Patients With Hr+/Her2- Metastatic Breast Cancer, Linjie Luo, Peng Yang, Sofia Mastoraki, Xiayu Rao, Yan Wang, Nicole M Kettner, Akshara Singareeka Raghavendra, Debasish Tripathy, Senthil Damodaran, Kelly K Hunt, Jing Wang, Ziyi Li, Khandan Keyomarsi

Faculty, Staff and Student Publications

Background: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) in combination with endocrine therapy are the standard treatment for patients with hormone receptor-positive, HER2-negative metastatic breast cancer (mBC). Despite the efficacy of CDK4/6is, intrinsic resistance occurs in approximately one-third of patients, highlighting the need for reliable predictive biomarkers.

Methods: Single-cell RNA sequencing analyzed metastatic tumors from HR+/HER2- mBC patients pre-CDK4/6i treatment at baseline (BL) and/or at disease progression. BL samples were from CDK4/6i responders (median progression-free survival [mPFS] = 25.5 months), while progressors were categorized as early-progressors (EP, mPFS = 3 months) and late-progressors (LP, mPFS = 11 months). Metastatic sites included liver, …

Classification Of Non-Tcga Cancer Samples To Tcga Molecular Subtypes Using Compact Feature Sets, Kyle Ellrott, Christopher K Wong, Christina Yau, Mauro A A Castro, Jordan A Lee, Brian J Karlberg, Jasleen K Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy I Wang, Anab Kemal, Samantha J Caesar-Johnson, Ilya Shmulevich, Alexander J Lazar, Ioannis Tsamardinos, Katherine A Hoadley, Cancer Genome Atlas Analysis Network, A Gordon Robertson, Theo A Knijnenburg, Christopher C Benz, Joshua M Stuart, Jean C Zenklusen, Andrew D Cherniack, Peter W Laird

Faculty, Staff and Student Publications

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a …

Proceedings Of The 1st Biannual Bridging The Gaps In Lung Cancer Conference, Narjust Florez, Sandip P Patel, Heather Wakelee, Lyudmila Bazhenova, Erminia Massarelli, Ravi Salgia, Brendon Stiles, Solange Peters, Jyoti Malhotra, Shirish M Gadgeel, Jorge J Nieva, Michelle Afkhami, Fred R Hirsch, Matthew Gubens, Tina Cascone, Benjamin Levy, Joshua Sabari, Hatim Husain, Patrick C Ma, Leah M Backhus, Puneeth Iyengar, Percy Lee, Russell Miller, Jacob Sands, Edward Kim

Faculty, Staff and Student Publications

Lung cancer is the leading cause of cancer death in the US and globally. The mortality from lung cancer has been declining, due to a reduction in incidence and advances in treatment. Although recent success in developing targeted and immunotherapies for lung cancer has benefitted patients, it has also expanded the complexity of potential treatment options for health care providers. To aid in reducing such complexity, experts in oncology convened a conference (Bridging the Gaps in Lung Cancer) to identify current knowledge gaps and controversies in the diagnosis, treatment, and outcomes of various lung cancer scenarios, as described here. Such …

Antitumor Activity And Biomarker Analysis For Trop2 Antibody-Drug Conjugate Datopotamab Deruxtecan In Patient-Derived Breast Cancer Xenograft Models, Funda Meric-Bernstam, Erkan Yuca, Kurt W Evans, Ming Zhao, Takanori Maejima, Tsuyoshi Karibe, Maria Gabriela Raso, Ximing Tang, Xiaofeng Zheng, Yasmeen Qamar Rizvi, Argun Akcakanat, Stephen M Scott, Bailiang Wang, Lauren A Byers, Debu Tripathy, Daisuke Okajima, Senthil Damodaran

Faculty, Staff and Student Publications

PURPOSE: Datopotamab deruxtecan (Dato-DXd) is a humanized anti-trophoblast cell-surface antigen-2 (TROP2) IgG1 mAb linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCX) varying in TROP2 expression.

EXPERIMENTAL DESIGN: The antitumor activity of Dato-DXd and isotype-control-DXd (IgG-DXd) was assessed against 11 BCXs varying in TROP2 expression, 10 representing tumors postneoadjuvant chemotherapy. Pharmacodynamic effects were assessed at 24 and 72 hours. The effects of TROP2 …

The Landscape Of Ctdna In Appendiceal Adenocarcinoma, Michael G White, Mohammad A Zeineddine, Eleanor A Fallon, Fadl A Zeineddine, Julia Dansby, Saikat Chowdhury, Nicholas Hornstein, Abdelrahman Yousef, Mahmoud Yousef, Neal Bhutiani, Yue Gu, Bryan Kee, Arvind Dasari, Michael J Overman, Kanwal Raghav, Scott Kopetz, Abhineet Uppal, Melissa Taggart, Timothy Newhook, Keith Fournier, Beth Helmink, Leylah M Drusbosky, John Paul Shen

Faculty, Staff and Student Publications

Purpose: Appendiceal adenocarcinoma is a rare malignancy with distinct histopathologic subtypes and a natural history with metastasis primarily limited to the peritoneum. Little is known about the molecular pathogenesis of appendiceal adenocarcinoma relative to common tumors.

Experimental design: We analyzed molecular data for patients within the Guardant Health database with appendix cancer (n = 718). We then identified patients with appendiceal adenocarcinoma at our institution (from October 2004-September 2022) for whom ctDNA mutation profiling (liquid biopsy) was performed (n = 168) and extracted clinicopathologic and outcomes data. Of these 168 patients, 57 also had tissue-based tumor mutational profiling, allowing for …

Association Of Systemic Inflammation And Long-Term Dysfunction In Covid-19 Patients: A Prospective Cohort, Felipe Dal-Pizzol, Bruno Kluwe-Schiavon, Henrique Ritter Dal-Pizzol, Gabriele Da Silveira Prestes, Diogo Dominguini, Carolina Saibro Girardi, Lucas Santos, José Cláudio Fonseca Moreira, Daniel Pens Gelain, Roger Walz, Tatiana Barichello, Cristiane Ritter

Faculty, Staff and Student Publications

COVID-19 has significant long-term impacts, including a chronic syndrome known as long-COVID, characterized by persistent symptoms post-recovery. The inflammatory response during acute infection is hypothesized to influence long-term outcomes. This study aimed to identify inflammatory biomarkers predictive of functional outcomes one year after hospital discharge. A prospective cohort study was conducted with 213 COVID-19 patients admitted to ICUs in Southern Brazil between June and November 2020. After exclusions and follow-ups, 109 patients were evaluated for one-year post-discharge. Plasma levels of Th1 (TNF-α, INF-γ, IL-12), Th2 (IL-4, IL-5, IL-6, IL-10, IL-13), and Th17 (IL-17, IL-22) cytokines were measured. Functional outcomes in …

Mutational And Co-Mutational Landscape Of Early Onset Colorectal Cancer, Jumanah Yousef Alshenaifi, Guglielmo Vetere, Giulia Maddalena, Mahmoud Yousef, Michael G White, John Paul Shen, Eduardo Vilar, Christine Parseghian, Arvind Dasari, Van Karlyle Morris, Ryan Huey, Michael J Overman, Robert Wolff, Kanwal P Raghav, Jason Willis, Kristin Alfaro, Andy Futreal, Y Nancy You, Scott Kopetz

Faculty, Staff and Student Publications

Introduction: Colorectal cancer (CRC) incidence and mortality before 50 have been rising alarmingly in the recent decades.

Methods: Using a cohort of 10,000 patients, this study investigates the clinical, mutational, and co-mutational features of CRC in early-onset (EOCRC, < 50 years) compared to late-onset (LOCRC, ≥ 50 years).

Results: EOCRC was associated with a higher prevalence of Asian and Hispanic patients, rectal or left-sided tumors (72% vs. 59%), and advanced-stage disease. Molecular analyses revealed differences in mutation patterns, with EOCRC having higher frequencies of TP53 (74% vs. 68%, p < 0.01) and SMAD4 (17% vs. 14%, p = 0.015), while BRAF (5% vs. 11%, p < 0.001) and NOTCH1 (2.7% vs. 4.1%, p = 0.01) mutations …

Refining Diagnostic Subtypes Of Peripheral T-Cell Lymphoma Using A Multiparameter Approach, Catalina Amador, Dennis D Weisenburger, Ana Gomez, Alyssa Bouska, Ahmad Alshomrani, Sunandini Sharma, Ab Rauf Shah, Timothy C Greiner, Francisco Vega, Andreas Rosenwald, German Ott, Andrew L Feldman, Elaine S Jaffe, Neval Ozkaya, Sarah L Ondrejka, James R Cook, Philipp W Raess, Kerry J Savage, Graham W Slack, Joo Y Song, David W Scott, Elias Campo, Lisa M Rimsza, Joseph D Khoury, Louis M Staudt, Wing C Chan, Javeed Iqbal

Faculty, Staff and Student Publications

Peripheral T-cell lymphoma (PTCL) is a heterogeneous category, and many cases are unclassifiable and designated as PTCL-not otherwise specified (PTCL-NOS). Gene expression profiling (GEP) has delineated two prognostic subtypes within PTCL-NOS, PTCL-TBX21, and PTCL-GATA3, characterized by distinctive transcriptomes and a different prognosis. To further evaluate the pathologic features of these subgroups, 101 PTCL cases that did not meet specific criteria for well-defined T-cell lymphoma entities underwent detailed pathologic, immunophenotypic (including TFH biomarkers) and GEP analyses, separating them into PTCL-NOS (n=63) and PTCL-TFH (a.k.a. nodal PTCL-TFH, NOS, and TFH lymphoma, NOS) (n=38). PTCL-NOS cases were further categorized into PTCL-GATA3 (n=22; 34%) …

Urine Proteomics Defines An Immune Checkpoint-Associated Nephritis Signature, James P Long, Shailbala Singh, Yanlan Dong, Cassian Yee, Jamie S Lin

Faculty, Staff and Student Publications

Immune checkpoint inhibitor (ICI) therapy is a cornerstone treatment for many cancers, but it can induce severe immunotoxicity, including acute interstitial nephritis (AIN). Currently, kidney biopsy is required to differentiate ICI-AIN from other causes of acute kidney injury (AKI). However, this invasive approach can lead to morbidity, delayed glucocorticoid treatment for patients with AIN, and unnecessarily prolonged suspension of ICI therapy in non-AIN patients. Delayed or incorrect diagnosis of ICI-AIN is particularly detrimental, as over 50% of patients are at risk of permanent renal damage. Thus, there is an urgent need for non-invasive biomarkers that can rapidly and accurately distinguish …

The Association Between Thyroid Differentiation Score And Survival Outcomes In Papillary Thyroid Carcinoma, Jennifer R Wang, Mark E Zafereo, Maria E Cabanillas, Chia Chin Wu, Li Xu, Yaoyi Dai, Wenyi Wang, Stephen Y Lai, Ying Henderson, Lauren Erasmus, Michelle D Williams, Corinne Joshu, Debashree Ray

Faculty, Staff and Student Publications

Context: Thyroid differentiation score (TDS), calculated based on mRNA expression levels of 16 genes controlling thyroid metabolism and function, has been proposed as a measure to quantify differentiation in papillary thyroid carcinoma (PTC).

Objective: The objective of this study is to determine whether TDS is associated with survival outcomes across patient cohorts.

Methods: Two independent cohorts of patients with PTC were used: (1) The Cancer Genome Atlas (TCGA) thyroid cancer study (N = 372), (2) MD Anderson Cancer Center (MDACC) cohort (N = 111). The primary survival outcome of interest was progression-free interval (PFI). Association with overall survival (OS) was …

Utilizing Patient-Derived Xenografts To Model Precision Oncology For Biliary Tract Cancer, Timothy P Diperi, Kurt W Evans, Stephen Scott, Xiaofeng Zheng, Kaushik Varadarajan, Lawrence N Kwong, Michael Kahle, Hop S Tran Cao, Ching-Wei Tzeng, Thuy Vu, Sunhee Kim, Fei Su, Maria Gabriela Raso, Yasmeen Rizvi, Ming Zhao, Huamin Wang, Sunyoung S Lee, Timothy A Yap, Jordi Rodon, Milind Javle, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Purpose: Biliary tract cancers, which are rare and aggressive malignancies, are rich in clinically actionable molecular alterations. A major challenge in the field is the paucity of clinically relevant biliary tract cancer models that recapitulate the diverse molecular profiles of these tumors. The purpose of this study was to curate a collection of patient-derived xenograft (PDX) models that reflect the spectrum of genomic alterations present in biliary tract cancers to create a resource for modeling precision oncology.

Experimental design: PDXs were derived from biliary tract cancer samples collected from surgical resections or metastatic biopsies. Alterations present in the PDXs were …

Metsdb: A Knowledgebase Of Cancer Metastasis At Bulk, Single-Cell And Spatial Levels, Sijia Wu, Jiajin Zhang, Yanfei Wang, Xinyu Qin, Zhaocan Zhang, Zhennan Lu, Pora Kim, Xiaobo Zhou, Liyu Huang

Faculty, Staff and Student Publications

Cancer metastasis, the process by which tumour cells migrate and colonize distant organs from a primary site, is responsible for the majority of cancer-related deaths. Understanding the cellular and molecular mechanisms underlying this complex process is essential for developing effective metastasis prevention and therapy strategies. To this end, we systematically analysed 1786 bulk tissue samples from 13 cancer types, 988 463 single cells from 17 cancer types, and 40 252 spots from 45 spatial slides across 10 cancer types. The results of these analyses are compiled in the metsDB database, accessible at https://relab.xidian.edu.cn/metsDB/. This database provides insights into alterations in …

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 …

Microbial Imprints On Colorectal Cancer: The Epigenetic Silencing Of Phlpp1 As A Prognostic Nexus, Xiangsheng Huang, Faraz Bishehsari

Faculty, Staff and Student Publications

No abstract provided.

Comprehensive Genomic Analysis Reveals Molecular Heterogeneity In Pediatric Alk-Positive Anaplastic Large Cell Lymphoma, Timothy I Shaw, Stanley Pounds, Xueyuan Cao, Jing Ma, Gustavo Palacios, John Mason, Sherrie Perkins, Gang Wu, Yiping Fan, Jian Wang, Xin Zhou, Alyssa Obermayer, Marsha C Kinney, Jacqueline Kraveka, Thomas Gross, John Sandlund, Jinghui Zhang, Charles Mullighan, Megan S Lim, Vasiliki Leventaki

Faculty, Staff and Student Publications

Anaplastic large cell lymphoma (ALCL) is a mature T-cell lymphoma that accounts for 10-15% of childhood lymphomas. Despite the observation that more than 90% of pediatric cases harbor the anaplastic lymphoma kinase (ALK) rearrangement resulting in aberrant ALK kinase expression, there is significant clinical, morphologic, and biological heterogeneity. To gain insights into the genomic aberrations and molecular heterogeneity within ALK-positive ALCL (ALK+ ALCL), we analyzed 46 pediatric ALK+ ALCLs by whole-exome sequencing, RNA sequencing, and DNA methylation profiling. Whole-exome sequencing found on average 25 SNV/Indel events per sample with recurring genetic events in regulators of DNA damage (TP53, MDM4), transcription …

Hepatic Metabolic Signature And Its Association With The Response To Immunotherapy In Hepatocellular Carcinoma, Hyewon Park, Sowon Park, Kena Park, Sun Young Yim, Ju-Seog Lee, Sung Hwan Lee

Faculty, Staff and Student Publications

Introduction: Increased metabolic activity is frequently observed in hepatocellular carcinoma (HCC). However, the impact of this increased metabolic activity on the efficacy of current treatments, such as the combination immunotherapy using atezolizumab and bevacizumab for HCC, remains unknown.

Methods: Gene expression data from mouse livers representing hepatic metabolic activity and HCC patient tumor tissues were used to identify a transcriptomic signature for high metabolic activity in HCC tumors. The hepatic metabolic signature (HMS) was used to categorize HCC patients treated with atezolizumab plus bevacizumab or sorafenib from the IMbrave150 clinical trial into high-or low-metabolic groups, using multiple statistical approaches to …

Immune Responses In Rodent Whole Eye Transplantation: Elucidation And Preliminary Investigations Into Rejection Diagnosis And Monitoring, Bing Li, Yong Wang, Charles R Owens, Touka Banaee, Charleen T Chu, Kayvon Jabbari, Anna D Lee, Neil J Khatter, Alan G Palestine, An-Jey A Su, Christene A Huang, Kia M Washington

Faculty, Staff and Student Publications

Background: Whole Eye Transplantation (WET) offers potential for vision restoration but is hindered by the complex challenge of immune rejection. Understanding and closely monitoring these immunological responses is crucial for advancing WET. This study delves into the timeline and nature of immune responses in a rodent model of WET without immunosuppression, aiming to elucidate a detailed picture of the immune landscape post-transplantation and establish innovative diagnostic and monitoring methods.

Methods: We employed a multi-faceted approach to analyze immune responses post-WET, including assessments of gross changes in corneal transparency, thickness, and skin condition. Histopathological examinations of both ocular and surrounding skin …