Biomedical Informatics Commons^™

Nab-Paclitaxel, Capecitabine, And Radiation Therapy After Induction Chemotherapy In Treating Patients With Locally Advanced And Borderline Resectable Pancreatic Cancer: Phase 1 Trial And Imaging-Based Biomarker Validation, Eugene J Koay, Mohamed Zaid, Maureen Aliru, Polycarpe Bagereka, Arie Van Wieren, Maria Jovie Rodriguez, Galia Jacobson, Robert A Wolff, Michael Overman, Gauri Varadhachary, Shubham Pant, Huamin Wang, Ching-Wei Tzeng, Naruhiko Ikoma, Michael Kim, Jeffrey E Lee, Matthew Hg Katz, Eric Tamm, Priya Bhosale, Cullen M Taniguchi, Emma B Holliday, Grace L Smith, Ethan B Ludmir, Bruce D Minsky, Christopher H Crane, Albert C Koong, Prajnan Das, Xuemei Wang, Milind Javle, Sunil Krishnan

Faculty, Staff and Student Publications

PURPOSE: Effective consolidative chemoradiation (CRT) regimens are lacking. In this phase 1 trial, we evaluated the safety and efficacy of nab-paclitaxel, capecitabine, and radiation therapy after induction chemotherapy in patients with locally advanced and borderline-resectable pancreatic cancer (LAPC and BRPC). Also, we evaluated a computed tomography (CT)-based biomarker of response.

METHODS AND MATERIALS: Eligible patients had pathologically confirmed pancreatic ductal adenocarcinoma, underwent computed tomography-imaging, received a diagnosis of LAPC or BRPC, and received induction chemotherapy. Standard 3 + 3 study design was used, with 3 escalating nab-paclitaxel dose levels (50, 75, and 100 mg/m

RESULTS: Twenty-three patients started and finished …

Image Analysis Reveals Differences In Tumor Multinucleations In Black And White Patients With Human Papillomavirus-Associated Oropharyngeal Squamous Cell Carcinoma, Can F Koyuncu, Reetoja Nag, Cheng Lu, Germán Corredor, Vidya S Viswanathan, Vlad C Sandulache, Pingfu Fu, Kailin Yang, Quintin Pan, Zelin Zhang, Jun Xu, Deborah J Chute, Wade L Thorstad, Farhoud Faraji, Justin A Bishop, Mitra Mehrad, Patricia D Castro, Andrew G Sikora, Lester D R Thompson, Rebecca D Chernock, Krystle A Lang Kuhs, Jay K Wasman, Jingqin R Luo, David J Adelstein, Shlomo A Koyfman, James S Lewis, Anant Madabhushi

Faculty, Staff and Student Publications

BACKGROUND: Understanding biological differences between different racial groups of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) patients, who have differences in terms of incidence, survival, and tumor morphology, can facilitate accurate prognostic biomarkers, which can help develop personalized treatment strategies.

METHODS: This study evaluated whether there were morphologic differences between HPV-associated tumors from Black and White patients in terms of multinucleation index (MuNI), an image analysis-derived metric that measures density of multinucleated tumor cells within epithelial regions on hematoxylin-eosin images and previously has been prognostic in HPV-associated OPSCC patients. In this study, the authors specifically evaluated whether the same …

Biomarkers Beyond Brca: Promising Combinatorial Treatment Strategies In Overcoming Resistance To Parp Inhibitors, Yu-Yi Chu, Clinton Yam, Hirohito Yamaguchi, Mien-Chie Hung

Faculty, Staff and Student Publications

Poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi) exploit the concept of synthetic lethality and offer great promise in the treatment of tumors with deficiencies in homologous recombination (HR) repair. PARPi exert antitumor activity by blocking Poly(ADP-ribosyl)ation (PARylation) and trapping PARP1 on damaged DNA. To date, the U.S. Food and Drug Administration (FDA) has approved four PARPi for the treatment of several cancer types including ovarian, breast, pancreatic and prostate cancer. Although patients with HR-deficient tumors benefit from PARPi, majority of tumors ultimately develop acquired resistance to PARPi. Furthermore, even though BRCA1/2 mutations are commonly used as markers of PARPi sensitivity in …

Estimating The Optimal Linear Combination Of Predictors Using Spherically Constrained Optimization, Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A Hutcheson, Clifton D Fuller, Bibhas Chakraborty, Christine B Peterson

Faculty, Staff and Student Publications

Background: In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optimal predictor combination can similarly be obtained by maximization of the hypervolume under the manifold (HUM). Since the empirical HUM is discontinuous, non-differentiable, and possibly multi-modal, solving this maximization problem requires a global optimization technique. Estimation of the optimal coefficient vector using existing global optimization techniques is computationally expensive, becoming prohibitive as the number of predictors and the number of outcome categories increases.

Results: We propose an …

Immunogenomic Profiling Of Lung Adenocarcinoma Reveals Poorly Differentiated Tumors Are Associated With An Immunogenic Tumor Microenvironment, Neal Akhave, Jiexin Zhang, Erin Bayley, Meredith Frank, Shin-Heng Chiou, Carmen Behrens, Runzhe Chen, Xin Hu, Edwin Roger Parra, Won-Chul Lee, Stephen Swisher, Luisa Solis, Annikka Weissferdt, Cesar Moran, Neda Kalhor, Jianhua Zhang, Paul Scheet, Ara A Vaporciyan, Boris Sepesi, Don L Gibbons, John V Heymach, Jack J Lee, Ignacio I Wistuba, P Andrew Futreal, Jianjun Zhang, Junya Fujimoto, Alexandre Reuben

Faculty, Staff and Student Publications

OBJECTIVES: Pathologists have routinely observed distinct histologic patterns of growth in early-stage lung adenocarcinoma (LUAD), which have been suggested to be associated with prognosis. Herein, we investigated the relationship between LUAD patterns of growth, as defined by the updated international association for the study of lung cancer (IASLC) grading criteria, and differences in the tumor immune microenvironment to identify predictors of response to immunotherapy.

METHODS: 174 resected stage I-III LUAD tumors were classified by histologic pattern of growth (i.e. solid, micropapillary, acinar, papillary, and lepidic) and then grouped as well differentiated, moderately differentiated, and poorly differentiated. Comprehensive multiplatform analysis including …

Comprehensive Multiplexed Immune Profiling Of The Ductal Carcinoma In Situ Immune Microenvironment Regarding Subsequent Ipsilateral Invasive Breast Cancer Risk, Mathilde M Almekinders, Tycho Bismeijer, Tapsi Kumar, Fei Yang, Bram Thijssen, Rianne Van Der Linden, Charlotte Van Rooijen, Shiva Vonk, Baohua Sun, Edwin R Parra Cuentas, Ignacio I Wistuba, Savitri Krishnamurthy, Lindy L Visser, Iris M Seignette, Ingrid Hofland, Joyce Sanders, Annegien Broeks, Jason K Love, Brian Menegaz, Lodewyk Wessels, Alastair M Thompson, Karin E De Visser, Erik Hooijberg, Esther Lips, Andrew Futreal, Jelle Wesseling

Faculty, Staff and Student Publications

Background: Ductal carcinoma in situ (DCIS) is treated to prevent subsequent ipsilateral invasive breast cancer (iIBC). However, many DCIS lesions will never become invasive. To prevent overtreatment, we need to distinguish harmless from potentially hazardous DCIS. We investigated whether the immune microenvironment (IME) in DCIS correlates with transition to iIBC.

Methods: Patients were derived from a Dutch population-based cohort of 10,090 women with pure DCIS with a median follow-up time of 12 years. Density, composition and proximity to the closest DCIS cell of CD20+ B-cells, CD3+CD8+ T-cells, CD3+CD8- T-cells, CD3+FOXP3+ regulatory T-cells, CD68+ cells, and CD8+Ki67+ T-cells was assessed with …

Targeting The Alk-Cdk9-Tyr19 Kinase Cascade Sensitizes Ovarian And Breast Tumors To Parp Inhibition Via Destabilization Of The P-Tefb Complex, Yu-Yi Chu, Mei-Kuang Chen, Yongkun Wei, Heng-Huan Lee, Weiya Xia, Ying-Nai Wang, Clinton Yam, Jennifer L Hsu, Hung-Ling Wang, Wei-Chao Chang, Hirohito Yamaguchi, Zhou Jiang, Chunxiao Liu, Ching-Fei Li, Lei Nie, Li-Chuan Chan, Yuan Gao, Shao-Chun Wang, Jinsong Liu, Shannon N Westin, Sanghoon Lee, Anil K Sood, Liuqing Yang, Gabriel N Hortobagyi, Dihua Yu, Mien-Chie Hung

Faculty, Staff and Student Publications

Poly(ADP-ribose) polymerase (PARP) inhibitors have demonstrated promising clinical activity in multiple cancers. However, resistance to PARP inhibitors remains a substantial clinical challenge. In the present study, we report that anaplastic lymphoma kinase (ALK) directly phosphorylates CDK9 at tyrosine-19 to promote homologous recombination (HR) repair and PARP inhibitor resistance. Phospho-CDK9-Tyr19 increases its kinase activity and nuclear localization to stabilize positive transcriptional elongation factor b and activate polymerase II-dependent transcription of HR-repair genes. Conversely, ALK inhibition increases ubiquitination and degradation of CDK9 by Skp2, an E3 ligase. Notably, combination of US Food and Drug Administration-approved ALK and PARP inhibitors markedly reduce tumor …

T1 Signal Intensity Ratio Of The Pancreas As An Imaging Biomarker For The Staging Of Chronic Pancreatitis, Temel Tirkes, Anil K Dasyam, Zarine K Shah, Evan L Fogel, Santhi Swaroop Vege, Liang Li, Shuang Li, Stephanie T Chang, Carlos A Farinas, Joseph R Grajo, Kareem Mawad, Naoki Takahashi, Sudhakar K Venkatesh, Ashley Wachsman, William E Fisher, Christopher E Forsmark, Phil A Hart, Stephen J Pandol, Walter G Park, Stephen K Van Den Eeden, Yunlong Yang, Mark Topazian, Dana K Andersen, Jose Serrano, Darwin L Conwell, Dhiraj Yadav, Consortium For The Study Of Chronic Pancreatitis, Diabetes, Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Purpose: Our purpose was to validate the T1 SIR (T1 score) as an imaging biomarker for the staging of CP in a large, multi-institutional, prospective study.

Methods: The prospective study population included 820 participants enrolled in the PROCEED study from nine clinical centers between June 2017 and December 2021. A radiologist at each institution used a standardized method to measure the T1 signal intensity of the pancreas and the reference organs (spleen, paraspinal muscle, liver), which was used to derive respective T1 scores. Participants were stratified according to the seven mechanistic stages of chronic pancreatitis (MSCP 0-6) based on their …

A Retrospective Analysis Of Ebv-Dna Status With The Prognosis Of Lymphoma, Lihua Qiu, Junqi Si, Junnan Kang, Zehui Chen, Rexidan Nuermaimaiti, Zhengzi Qian, Lanfang Li, Shiyong Zhou, Mingjian James You, Huilai Zhang, Chen Tian

Faculty, Staff and Student Publications

Epstein-Barr virus (EBV) infection is proved to be associated with clinicopathology of lymphoma. However, little is known about the relationship between EBV-DNA status after treatment and prognosis. In this study, real-time polymerase chain reaction (PCR) was used for quantitative detection of EBV-DNA load in peripheral blood of all 26,527 patients with lymphoma, and the clinical characteristics and prognosis of 202 patients were retrospectively analysed, including 100 patients with positive EBV-DNA and 102 randomly selected patients with negative EBV-DNA. We found that the average rate of EBV-DNA positivity in lymphomas was 0.376%, and EBV-DNA-positive patients presented higher risk with elevated lactate …

Idh1 Prr32h Ctdna And D-2-Hydroxyglutarate As Csf Biomarkers In Patients With Idh-Mutant Gliomas, Yoko Fujita, Luis Nunez-Rubiano, Antonio Dono, Allison Bellman, Mauli Shah, Juan C Rodriguez, Vasanta Putluri, Abu Hena Mostafa Kamal, Nagireddy Putluri, Roy F Riascos, Jay-Jiguang Zhu, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

INTRODUCTION: We aimed to evaluate IDH1 p.R132H mutation and 2-hydroxyglutarate (2HG) in cerebrospinal fluid (CSF) as biomarkers for patients with IDH-mutant gliomas.

METHODS: CSF was collected from patients with infiltrating glioma, and 2HG levels were measured by liquid chromatography-mass spectrometry. IDH1 p.R132H mutant allele frequency (MAF) in CSF-ctDNA was measured by digital droplet PCR (ddPCR). Tumor volume was measured from standard-of-care magnetic resonance images.

RESULTS: The study included 48 patients, 6 with IDH-mutant and 42 with IDH-wildtype gliomas, and 57 samples, 9 from the patients with IDH-mutant and 48 from the patients with IDH-wildtype gliomas. ctDNA was detected in 7 …

Integrated Imaging And Molecular Analysis To Decipher Tumor Microenvironment In The Era Of Immunotherapy, Jia Wu, Aaron T Mayer, Ruijiang Li

Faculty, Staff and Student Publications

Radiological imaging is an integral component of cancer care, including diagnosis, staging, and treatment response monitoring. It contains rich information about tumor phenotypes that are governed not only by cancer cellintrinsic biological processes but also by the tumor microenvironment, such as the composition and function of tumor-infiltrating immune cells. By analyzing the radiological scans using a quantitative radiomics approach, robust relations between specific imaging and molecular phenotypes can be established. Indeed, a number of studies have demonstrated the feasibility of radiogenomics for predicting intrinsic molecular subtypes and gene expression signatures in breast cancer based on MRI. In parallel, promising results …

Idh1 Pr132h Ctdna And D-2-Hydroxyglutarate As Csf Biomarkers In Patients With Idh-Mutant Gliomas, Yoko Fujita, Luis Nunez-Rubiano, Antonio Dono, Allison Bellman, Mauli Shah, Juan C Rodriguez, Vasanta Putluri, Abu Hena Mostafa Kamal, Nagireddy Putluri, Roy F Riascos, Jay-Jiguang Zhu, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

INTRODUCTION: We aimed to evaluate IDH1 p.R132H mutation and 2-hydroxyglutarate (2HG) in cerebrospinal fluid (CSF) as biomarkers for patients with IDH-mutant gliomas.

METHODS: CSF was collected from patients with infiltrating glioma, and 2HG levels were measured by liquid chromatography-mass spectrometry. IDH1 p.R132H mutant allele frequency (MAF) in CSF-ctDNA was measured by digital droplet PCR (ddPCR). Tumor volume was measured from standard-of-care magnetic resonance images.

RESULTS: The study included 48 patients, 6 with IDH-mutant and 42 with IDH-wildtype gliomas, and 57 samples, 9 from the patients with IDH-mutant and 48 from the patients with IDH-wildtype gliomas. ctDNA was detected in 7 …

Changes In Apparent Diffusion Coefficient (Adc) In Serial Weekly Mri During Radiotherapy In Patients With Head And Neck Cancer: Results From The Predict-Hn Study, Sweet Ping Ng, Carlos E Cardenas, Houda Bahig, Baher Elgohari, Jihong Wang, Jason M Johnson, Amy C Moreno, Shalin J Shah, Adam S Garden, Jack Phan, G Brandon Gunn, Steven J Frank, Yao Ding, Lumine Na, Ying Yuan, Diana Urbauer, Abdallah S R Mohamed, David I Rosenthal, William H Morrison, Michael P Macmanus, Clifton D Fuller

Faculty, Staff and Student Publications

Background: The PREDICT-HN study aimed to systematically assess the kinetics of imaging MR biomarkers during head and neck radiotherapy.

Methods: Patients with intact squamous cell carcinoma of the head and neck were enrolled. Pre-, during, and post-treatment MRI were obtained. Serial GTV and ADC measurements were recorded. The correlation between each feature and the GTV was calculated using Spearman’s correlation coefficient. The linear mixed model was used to evaluate the change in GTV over time.

Results: A total of 41 patients completed the study. The majority (76%) had oropharyngeal cancer. A total of 36 patients had intact primary tumours that …

Charting The Proteome Landscape In Major Psychiatric Disorders: From Biomarkers To Biological Pathways Towards Drug Discovery, Brisa S Fernandes, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are major mental disorders that affect a significant proportion of the global population. Advancing our knowledge of the pathophysiology of these disorders and identifying biomarkers are urgent needs for developing objective diagnostic tests and new therapeutics. In this study, we performed a systematic review and then extracted, curated, and analyzed proteomics data from published studies, aiming to assess the proteome in peripheral blood of individuals with SZ, BD, or MDD. Then, we performed pathway and network analyses to illuminate the biological themes concatenated by the differentially expressed proteins by systematically …

Dynamic Expression Of Schlafen 11 (Slfn11) In Circulating Tumour Cells As A Liquid Biomarker In Small Cell Lung Cancer, Bingnan Zhang, C Allison Stewart, Qi Wang, Robert J Cardnell, Pedro Rocha, Junya Fujimoto, Luisa M Solis Soto, Runsheng Wang, Veronica Novegil, Peter Ansell, Lei He, Luisa Fernandez, Adam Jendrisak, Cole Gilbertson, Joseph D Schonhoft, Jiyun Byun, Joshua Jones, Amanda K L Anderson, Ana Aparicio, Hai Tran, Marcelo V Negrao, Jianjun Zhang, Wei-Lien Wang, Ignacio I Wistuba, Jing Wang, Rick Wenstrup, Lauren A Byers, Carl M Gay

Faculty, Staff and Student Publications

Introduction: Small cell lung cancer (SCLC) is an aggressive malignancy with no established biomarkers. Schlafen 11(SLFN11), a DNA/RNA helicase that sensitises cancer cells to DNA-damaging agents, has emerged as a promising predictive biomarker for several drug classes including platinum and PARP inhibitors. Detection of SLFN11 in circulating tumour cells (CTCs) may provide a valuable alternative to tissue sampling.

Methods: SLFN11 expression was evaluated in tumour samples and characterised in circulating tumour cells (CTC) longitudinally to determine its potential role as a biomarker of response.

Results: Among 196 SCLC tumours, 51% expressed SLFN11 by IHC. In addition, 20/29 extra-thoracic high-grade neuroendocrine …

Association Of Cardiovascular Health Through Young Adulthood With Genome-Wide Dna Methylation Patterns In Midlife: The Cardia Study, Yinan Zheng, Brian T Joyce, Shih-Jen Hwang, Jiantao Ma, Lei Liu, Norrina B Allen, Amy E Krefman, Jun Wang, Tao Gao, Drew R Nannini, Haixiang Zhang, David R Jacobs, Myron D Gross, Myriam Fornage, Cora E Lewis, Pamela J Schreiner, Stephen Sidney, Dongquan Chen, Philip Greenland, Daniel Levy, Lifang Hou, Donald M Lloyd-Jones

Faculty, Staff and Student Publications

Background: Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD.

Methods: In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45). Blood DNA methylation at >840 000 methylation markers was …

Novel Markers For Liquid Biopsies In Cancer Management: Circulating Platelets And Extracellular Vesicles, Sara Corvigno, Anna Maria Johnson, Kwong-Kwok Wong, Min Soon Cho, Vahid Afshar-Kharghan, David G Menter, Anil K Sood

Faculty, Staff and Student Publications

Although radiologic imaging and histologic assessment of tumor tissues are classic approaches for diagnosis and monitoring of treatment response, they have many limitations. These include challenges in distinguishing benign from malignant masses, difficult access to the tumor, high cost of the procedures, and tumor heterogeneity. In this setting, liquid biopsy has emerged as a potential alternative for both diagnostic and monitoring purposes. The approaches to liquid biopsy include cell-free DNA/circulating tumor DNA, long and micro noncoding RNAs, proteins/peptides, carbohydrates/lectins, lipids, and metabolites. Other approaches include detection and analysis of circulating tumor cells, extracellular vesicles, and tumor-activated platelets. Ultimately, reliable use …

Modeling The Prognostic Impact Of Circulating Tumor Cells Enumeration In Metastatic Breast Cancer For Clinical Trial Design Simulation, Lorenzo Gerratana, Jean-Yves Pierga, James M Reuben, Andrew A Davis, Firas H Wehbe, Luc Dirix, Tanja Fehm, Franco Nolé, Rafael Gisbert-Criado, Dimitrios Mavroudis, Salvatore Grisanti, Jose A Garcia-Saenz, Justin Stebbing, Carlos Caldas, Paola Gazzaniga, Luis Manso, Rita Zamarchi, Marta Bonotto, Angela Fernandez De Lascoiti, Leticia De Mattos-Arruda, Michail Ignatiadis, Maria-Teresa Sandri, Daniele Generali, Carmine De Angelis, Sarah-Jane Dawson, Wolfgang Janni, Vicente Carañana, Sabine Riethdorf, Erich-Franz Solomayer, Fabio Puglisi, Mario Giuliano, Klaus Pantel, François-Clément Bidard, Massimo Cristofanilli

Faculty, Staff and Student Publications

Despite the strong prognostic stratification of circulating tumor cells (CTCs) enumeration in metastatic breast cancer (MBC), current clinical trials usually do not include a baseline CTCs in their design. This study aimed to generate a classifier for CTCs prognostic simulation in existing datasets for hypothesis generation in patients with MBC. A K-nearest neighbor machine learning algorithm was trained on a pooled dataset comprising 2436 individual MBC patients from the European Pooled Analysis Consortium and the MD Anderson Cancer Center to identify patients likely to have CTCs ≥ 5/7 mL blood (StageIVaggressive vs StageIVindolent). The model had a 65.1% accuracy and …

Pathological Response And Immune Biomarker Assessment In Non-Small-Cell Lung Carcinoma Receiving Neoadjuvant Immune Checkpoint Inhibitors, Frank Rojas, Edwin Roger Parra, Ignacio Ivan Wistuba, Cara Haymaker, Luisa Maren Solis Soto

Faculty, Staff and Student Publications

Lung cancer is the leading cause of cancer incidence and mortality worldwide. Adjuvant and neoadjuvant chemotherapy have been used in the perioperative setting of non-small-cell carcinoma (NSCLC); however, the five-year survival rate only improves by about 5%. Neoadjuvant treatment with immune checkpoint inhibitors (ICIs) has become significant due to improved survival in advanced NSCLC patients treated with immunotherapy agents. The assessment of pathology response has been proposed as a surrogate indicator of the benefits of neaodjuvant therapy. An outline of recommendations has been published by the International Association for the Study of Lung Cancer (IASLC) for the evaluation of pathologic …

Distinct Immune Gene Programs Associated With Host Tumor Immunity, Neoadjuvant Chemotherapy, And Chemoimmunotherapy In Resectable Nsclc, Pedro Rocha, Jiexin Zhang, Raquel Laza-Briviesca, Alberto Cruz-Bermúdez, Neus Bota-Rabassedas, Beatriz Sanchez-Espiridon, Katsuhiro Yoshimura, Carmen Behrens, Wei Lu, Ximing Tang, Apar Pataer, Edwin R Parra, Cara Haymaker, Junya Fujimoto, Stephen G Swisher, John V Heymach, Don L Gibbons, J Jack Lee, Boris Sepesi, Tina Cascone, Luisa M Solis, Mariano Provencio, Ignacio I Wistuba, Humam Kadara

Faculty, Staff and Student Publications

Purpose: Our understanding of the immunopathology of resectable non-small cell lung cancer (NSCLC) is still limited. Here, we explore immune programs that inform of tumor immunity and response to neoadjuvant chemotherapy and chemoimmunotherapy in localized NSCLC.

Experimental design: Targeted immune gene sequencing using the HTG Precision Immuno-Oncology panel was performed in localized NSCLCs from three cohorts based on treatment: naïve (n = 190), neoadjuvant chemotherapy (n = 38), and neoadjuvant chemoimmunotherapy (n = 21). Tumor immune microenvironment (TIME) phenotypes were based on the location of CD8+ T cells (inflamed, cold, excluded), tumoral PD-L1 expression (<1% and ≥1%), and tumor-infiltrating lymphocytes (TIL). Immune programs and signatures were statistically analyzed on the basis of tumoral PD-L1 expression, immune phenotypes, and pathologic response and were cross-compared across the three cohorts.

Results: PD-L1-positive tumors exhibited increased …

Tumor Immunology And Immunotherapy Of Non-Small-Cell Lung Cancer, Tina Cascone, Jared Fradette, Monika Pradhan, Don L Gibbons

Faculty, Staff and Student Publications

Historically, non-small-cell lung cancer (NSCLC) has been regarded as a nonimmunogenic tumor; however, recent studies have shown that NSCLCs are among the most responsive cancers to monoclonal antibody immune checkpoint inhibitors (ICIs). ICIs have dramatically improved clinical outcomes for a subset of patients (∼20%) with locally advanced and metastatic NSCLC, and they have also demonstrated promise as neoadjuvant therapy for early-stage resectable disease. Nevertheless, the majority of patients with NSCLC are refractory to ICIs for reasons that are poorly understood. Thus, major questions are: how do we initially identify the patients most likely to derive significant clinical benefit from these …

Landscape Of Notch1 Mutations And Co-Occurring Biomarker Alterations In Chronic Lymphocytic Leukemia, Fatima Zahra Jelloul, Richard Yang, Sofia Garces, Rashmi Kanagal-Shamanna, Chi Y Ok, Sanam Loghavi, Mark J Routbort, Zhuang Zuo, C Cameron Yin, Kristen Floyd, Roland L Bassett, William Wierda, Nitin Jain, Philip Thompson, Rajyalakshmi Luthra, L Jeffrey Medeiros, Keyur P Patel

Faculty, Staff and Student Publications

NOTCH1 is one of the most frequently mutated genes in chronic lymphocytic leukemia and has emerged as a marker of poor prognosis. In addition to coding NOTCH1 mutations involving exon 34, non-coding NOTCH1 mutations involving the 3' UTR have been described in a limited number of chronic lymphocytic leukemia (CLL) patients and were associated with adverse outcomes. In this study, 1574 CLL patients were assessed using targeted sequencing with a 29 gene panel and the results were correlated with prognostic characteristics. NOTCH1 mutations were detected in 252 (16%) patients, including both coding (220/252, 14%), non-coding (24/252, 1.5%) and a mixture …

Time Dependent Analysis Of Rat Microglial Surface Markers In Traumatic Brain Injury Reveals Dynamics Of Distinct Cell Subpopulations, Assaf Gottlieb, Naama Toledano-Furman, Karthik S Prabhakara, Akshita Kumar, Henry W Caplan, Supinder Bedi, Charles S Cox, Scott D Olson

Faculty, Staff and Student Publications

Traumatic brain injury (TBI) results in a cascade of cellular responses, which produce neuroinflammation, partly due to the activation of microglia. Accurate identification of microglial populations is key to understanding therapeutic approaches that modify microglial responses to TBI and improve long-term outcome measures. Notably, previous studies often utilized an outdated convention to describe microglial phenotypes. We conducted a temporal analysis of the response to controlled cortical impact (CCI) in rat microglia between ipsilateral and contralateral hemispheres across seven time points, identified microglia through expression of activation markers including CD45, CD11b/c, and p2y12 receptor and evaluated their activation state using additional …

Ndrg1 In Aggressive Breast Cancer Progression And Brain Metastasis, Emilly S Villodre, Xiaoding Hu, Bedrich L Eckhardt, Richard Larson, Lei Huo, Ester C Yoon, Yun Gong, Juhee Song, Shuying Liu, Naoto T Ueno, Savitri Krishnamurthy, Stefan Pusch, Debu Tripathy, Wendy A Woodward, Bisrat G Debeb

Faculty, Staff and Student Publications

BACKGROUND: N-Myc downstream regulated gene 1 (NDRG1) suppresses metastasis in many human malignancies, including breast cancer, yet has been associated with worse survival in patients with inflammatory breast cancer. The role of NDRG1 in the pathobiology of aggressive breast cancers remains elusive.

METHODS: To study the role of NDRG1 in tumor growth and brain metastasis in vivo, we transplanted cells into cleared mammary fat pads or injected them in tail veins of SCID/Beige mice (n = 7-10 per group). NDRG1 protein expression in patient breast tumors (n = 216) was assessed by immunohistochemical staining. Kaplan-Meier method with 2-sided log-rank test …

Fungal Mycobiome Drives Il-33 Secretion And Type 2 Immunity In Pancreatic Cancer, Aftab Alam, Eric Levanduski, Parker Denz, Helena Solleiro Villavicencio, Maulasri Bhatta, Lamees Alhorebi, Yali Zhang, Eduardo Cortes Gomez, Brian Morreale, Sharon Senchanthisai, Jun Li, Steven G Turowski, Sandra Sexton, Sheila Jani Sait, Prashant K Singh, Jianmin Wang, Anirban Maitra, Pawel Kalinski, Ronald A Depinho, Huamin Wang, Wenting Liao, Scott I Abrams, Brahm H Segal, Prasenjit Dey

Faculty, Staff and Student Publications

TH2 cells and innate lymphoid cells 2 (ILC2) can stimulate tumor growth by secreting pro-tumorigenic cytokines such as interleukin-4 (IL-4), IL-5, and IL-13. However, the mechanisms by which type 2 immune cells traffic to the tumor microenvironment are unknown. Here, we show that oncogenic KrasG12D increases IL-33 expression in pancreatic ductal adenocarcinoma (PDAC) cells, which recruits and activates TH2 and ILC2 cells. Correspondingly, cancer-cell-specific deletion of IL-33 reduces TH2 and ILC2 recruitment and promotes tumor regression. Unexpectedly, IL-33 secretion is dependent on the intratumoral fungal mycobiome. Genetic deletion of IL-33 or anti-fungal treatment decreases TH2 and ILC2 infiltration and increases …

Clinical And Molecular Characterization Of Pole Mutations As Predictive Biomarkers Of Response To Immune Checkpoint Inhibitors In Advanced Cancers, Benjamin Garmezy, Jinesh Gheeya, Heather Y Lin, Yuefan Huang, Taebeom Kim, Xianli Jiang, Kyaw Z Thein, Patrick G Pilié, Fadl Zeineddine, Wanlin Wang, Kenna R Shaw, Jordi Rodon, John Paul Shen, Ying Yuan, Funda Meric-Bernstam, Ken Chen, Timothy A Yap

Faculty, Staff and Student Publications

Purpose: DNA polymerase epsilon is critical to DNA proofreading and replication. Mutations in POLE have been associated with hypermutated tumors and antitumor response to immune checkpoint inhibitor (ICI) therapy. We present a clinicopathologic analysis of patients with advanced cancers harboring POLE mutations, the pattern of co-occurring mutations, and their response to ICI therapy within the context of mutation pathogenicity.

Methods: We conducted a retrospective analysis of next-generation sequencing data at MD Anderson Cancer Center to identify patient tumors with POLE mutations and their co-occurring mutations. The pathogenicity of each mutation was annotated using InterVar and ClinVar. Differences in therapeutic response …

Evaluation Of Programmed Death Ligand 1 Expression In Cytology To Determine Eligibility For Immune Checkpoint Inhibitor Therapy In Patients With Head And Neck Squamous Cell Carcinoma, Zhonghua Liu, Michelle Williams, John Stewart, Bonnie S Glisson, Clifton Fuller, Sinchita Roy-Chowdhuri

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors targeting the programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) pathway have recently emerged as a frontline treatment for head and neck squamous cell carcinoma (HNSCC). The evaluation of PD-L1 expression by immunohistochemistry in histologic samples is used to determine the eligibility of patients with HNSCC for immunotherapy. Patients with newly diagnosed HNSCC are frequently diagnosed by fine-needle aspiration (FNA) of lymph nodes with metastatic disease. However, the evaluation of PD-L1 expression with the proposed combined positive score (CPS) has not been well established in cytology specimens.

Methods: This study retrospectively identified 21 …

Epigenetic Silencing Of Tumor Suppressor Lncrna Nkila: Implication On Nf-Κb Signaling In Non-Hodgkin’S Lymphoma, Min-Yue Zhang, George Calin, Ming-Dan Deng, Rex K H Au-Yeung, Lu-Qian Wang, Chor-Sang Chim

Faculty, Staff and Student Publications

The long non-coding RNA (lncRNA) NKILA, localized to 20q13.31, is a negative regulator of NF-κB signaling implicated in carcinogenesis. As a CpG island is embedded in the promoter region of NKILA, it is hypothesized as a tumor suppressor lncRNA silenced by promoter DNA methylation in non-Hodgkin’s lymphoma (NHL). By pyrosequencing-verified methylation-specific PCR, NKILA methylation was detected in 1/10 (10%) NHL cell lines, but not in normal peripheral blood buffy coats or tonsils. NKILA methylation correlated with the repression of NKILA in cell lines. Hypomethylation treatment with 5-Aza-2′-deoxycytidine resulted in promoter demethylation and the re-expression of NKILA. In 102 …

Application Of Artificial Intelligence To Plasma Metabolomics Profiles To Predict Response To Neoadjuvant Chemotherapy In Triple-Negative Breast Cancer, Ehsan Irajizad, Ranran Wu, Jody Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M Rauch, Beatriz Adrada, Rosalind Candelaria, Jason B White, Abenaa Brewster, Banu Arun, James P Long, Kim Anh Do, Sam Hanash, Johannes F Fahrmann

Faculty, Staff and Student Publications

There is a need to identify biomarkers predictive of response to neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). We previously obtained evidence that a polyamine signature in the blood is associated with TNBC development and progression. In this study, we evaluated whether plasma polyamines and other metabolites may identify TNBC patients who are less likely to respond to NACT. Pre-treatment plasma levels of acetylated polyamines were elevated in TNBC patients that had moderate to extensive tumor burden (RCB-II/III) following NACT compared to those that achieved a complete pathological response (pCR/RCB-0) or had minimal residual disease (RCB-I). We further applied …

A Deep Learning-Based Framework For Supporting Clinical Diagnosis Of Glioblastoma Subtypes, Sana Munquad, Tapas Si, Saurav Mallik, Asim Bikas Das, Zhongming Zhao

Faculty, Staff and Student Publications

Understanding molecular features that facilitate aggressive phenotypes in glioblastoma multiforme (GBM) remains a major clinical challenge. Accurate diagnosis of GBM subtypes, namely classical, proneural, and mesenchymal, and identification of specific molecular features are crucial for clinicians for systematic treatment. We develop a biologically interpretable and highly efficient deep learning framework based on a convolutional neural network for subtype identification. The classifiers were generated from high-throughput data of different molecular levels, i.e., transcriptome and methylome. Furthermore, an integrated subsystem of transcriptome and methylome data was also used to build the biologically relevant model. Our results show that deep learning model outperforms …