Biomedical Informatics Commons^™

Glucocorticoid Mediated Inhibition Of Lkb1 Mutant Non-Small Cell Lung Cancers, Kenneth E Huffman, Long Shan Li, Ryan Carstens, Hyunsil Park, Luc Girard, Kimberley Avila, Shuguang Wei, Rahul Kollipara, Brenda Timmons, Jessica Sudderth, Nawal Bendris, Jiyeon Kim, Pamela Villalobos, Junya Fujimoto, Sandra Schmid, Ralph J Deberardinis, Ignacio Wistuba, John Heymach, Ralf Kittler, Esra A Akbay, Bruce Posner, Yuzhuo Wang, Stephen Lam, Steven A Kliewer, David J Mangelsdorf, John D Minna

Faculty, Staff and Student Publications

The glucocorticoid receptor (GR) is an important anti-cancer target in lymphoid cancers but has been understudied in solid tumors like lung cancer, although glucocorticoids are often given with chemotherapy regimens to mitigate side effects. Here, we identify a dexamethasone-GR mediated anti-cancer response in a subset of aggressive non-small cell lung cancers (NSCLCs) that harbor Serine/Threonine Kinase 11 (STK11/LKB1) mutations. High tumor expression of carbamoyl phosphate synthase 1 (CPS1) was strongly linked to the presence of LKB1 mutations, was the best predictor of NSCLC dexamethasone (DEX) sensitivity (

Predictive Power Of Deep-Learning Segmentation Based Prognostication Model In Non-Small Cell Lung Cancer, Jordan C Gainey, Yusen He, Robert Zhu, Stephen S Baek, Xiaodong Wu, John M Buatti, Bryan G Allen, Brian J Smith, Yusung Kim

Faculty, Staff and Student Publications

Purpose: The study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP).

Methods: The DESEP model was trained using imaging from 108 patients with NSCLC with various clinical stages and treatment histories. The model generated predictions based on unsupervised features learned by a deep-segmentation network from computed tomography imaging to categorize patients into high and low risk groups for overall survival (DESEP-predicted-OS), disease specific survival (DESEP-predicted-DSS), and local progression free survival (DESEP-predicted-LPFS). Serial assessments were also performed using auto-segmentation based volumetric …

Feasibility Of Quantitative Diffusion-Weighted Imaging During Intra-Procedural Mri-Guided Brachytherapy Of Locally Advanced Cervical And Vaginal Cancers, Megan C Jacobsen, Bastien Rigaud, Samantha J Simiele, Gaiane M Rauch, Matthew S Ning, Sastry Vedam, Ann H Klopp, R Jason Stafford, Kristy K Brock, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Purpose: To determine the feasibility of quantitative apparent diffusion coefficient (ADC) acquisition during magnetic resonance imaging-guided brachytherapy (MRgBT) using reduced field-of-view (rFOV) diffusion-weighted imaging (DWI).

Methods and materials: T2-weighted (T2w) MR and full-FOV single-shot echo planar (ssEPI) DWI were acquired in 7 patients with cervical or vaginal malignancy at baseline and prior to brachytherapy, while rFOV-DWI was acquired during MRgBT following brachytherapy applicator placement. The gross target volume (GTV) was contoured on the T2w images and registered to the ADC map. Voxels at the GTV's maximum Maurer distance comprised a central sub-volume (GTVcenter). Contour ADC mean and standard deviation were …

Predictive Capacity Of A Mirna Panel In Identifying Teratoma In Post-Chemotherapy Consolidation Surgeries, Joseph A Moore, Michael J Lehner, Simone Anfossi, Saumil Datar, Rebecca S Tidwell, Matthew Campbell, Amishi Y Shah, John F Ward, Jose A Karam, Christopher G Wood, Lois L Pisters, George A Calin, Shi-Ming Tu

Faculty, Staff and Student Publications

OBJECTIVES: To investigate the utility of a novel serum miRNA biomarker panel to distinguish teratoma from nonmalignant necrotic/fibrotic tissues or nonviable tumours in patients with NSGCT undergoing post-chemotherapy consolidation surgery.

PATIENTS AND METHODS: We prospectively collected pre-surgical serum samples from 22 consecutive testicular NSGCT patients with residual NSGCT after chemotherapy undergoing post-chemotherapy consolidation surgery. We measured serum miRNA expression of four microRNAs (miRNA-375, miRNA-200a-3p, miRNA-200a-5p and miRNA-200b-3p) and compared with pathologic findings at time of surgery. Receiver operating characteristic (ROC) curves were performed to assess the ability of these miRNA to differentiate between teratoma and necrosis or viable malignancy.

RESULTS: …

The Role Of Non-Coding Rnas In Chromosomal Instability In Cancer, Swati Mohapatra, Melanie Winkle, Anh N Ton, Dien Nguyen, George A Calin

Faculty, Staff and Student Publications

Chromosomal instability (CIN) is characterized by an increased frequency of changes in chromosome structure or number and is regarded as a hallmark of cancer. CIN plays a prevalent role in tumorigenesis and cancer progression by assisting the cancer cells' phenotypic adaptation to stress, which have been tightly linked to therapy resistance and metastasis. Both CIN-inducing and CIN-repressing agents are being clinically tested for the treatment of cancer to increase CIN levels to unsustainable levels leading to cell death or to decrease CIN levels to limit the development of drug resistance, respectively. Non-coding RNAs (ncRNAs) including microRNAs and long ncRNAs (lncRNAs) …

Leveraging A Genetically-Informative Study Design To Explore Depression As A Risk Factor For Type 2 Diabetes: Rationale And Participant Characteristics Of The Mood And Immune Regulation In Twins Study, Briana Mezuk, Kristen Kelly, Erica Bennion, Jeannie B Concha

Faculty, Staff and Student Publications

Background: Comorbidity between depression and type 2 diabetes is thought to arise from the joint effects of psychological, behavioral, and biological processes. Studies of monozygotic twins may provide a unique opportunity for clarifying how these processes inter-relate. This paper describes the rationale, characteristics, and initial findings of a longitudinal co-twin study aimed at examining the biopsychosocial mechanisms linking depression and risk of diabetes in mid-life.

Methods: Participants in the Mood and Immune Regulation in Twins (MIRT) Study were recruited from the Mid-Atlantic Twin Registry. MIRT consisted of 94 individuals who do not have diabetes at baseline, representing 43 twin pairs …

Editorial: Big Data Analytics To Advance Stroke And Cerebrovascular Disease: A Tool To Bridge Translational And Clinical Research, Alexis Nétis Simpkins, Hari Kishan Reddy Indupuru, Sean Isaac Savitz

Faculty, Staff and Student Publications

No abstract provided.

Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain: Erratum, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Case Reports In Cardio-Oncology: 2022, Michael S Ewer, Syed Wamique Yusuf, Reto Asmis, Jun-Ichi Abe

Faculty, Staff and Student Publications

No abstract provided.

Osteoblast-Specific Overexpression Of Nucleolar Protein No66/Riox1 In Mouse Embryos Leads To Osteoporosis In Adult Mice, Qin Chen, Krishna M Sinha, Benoit De Crombrugghe, Ralf Krahe

Faculty, Staff and Student Publications

In previous study, we showed that nucleolar protein 66 (NO66) is a chromatin modifier and negatively regulates Osterix activity as well as mesenchymal progenitor differentiation. Genetic ablation of the NO66 (RIOX1) gene in cells of the Prx1-expressing mesenchymal lineage leads to acceleration of osteochondrogenic differentiation and a larger skeleton in adult mice, whereas mesenchyme-specific overexpression of NO66 inhibits osteochondrogenesis resulting in dwarfism and osteopenia. However, the impact of NO66 overexpression in cells of the osteoblast lineage in vivo remains largely undefined. Here, we generated osteoblast-specific transgenic mice overexpressing a FLAG-tagged NO66 transgene driven by the …

Role Of Sentinel Lymph Node Biopsy For Oral Squamous Cell Carcinoma: Current Evidence And Future Challenges, Sophie S Jang, Morgan E Davis, David R Vera, Stephen Y Lai, Theresa W Guo

Faculty, Staff and Student Publications

Sentinel lymph node biopsy (SLNB) has been used across oncological specialties for prognostication, staging, and identification of occult nodal metastasis. Recent studies demonstrated the potential clinical utility of SLNB in oral cavity squamous cell carcinoma (OCSCC). Elective neck dissection is the current standard of care in early management of OCSCC with depth of invasion greater than 2-4 mm; however, majority of patients ultimately do not have nodal disease on final pathology. SLNB is an alternative procedure widely adopted in early cancer management in many oncological subspecialities. Several considerations such as depth of invasion, nodal mapping, histopathology methods, operator variability, postoperative …

Super-Resolution And Segmentation Deep Learning For Breast Cancer Histopathology Image Analysis, Aniwat Juhong, Bo Li, Cheng-You Yao, Chia-Wei Yang, Dalen W Agnew, Yu Leo Lei, Xuefei Huang, Wibool Piyawattanametha, Zhen Qiu

Faculty, Staff and Student Publications

Traditionally, a high-performance microscope with a large numerical aperture is required to acquire high-resolution images. However, the images' size is typically tremendous. Therefore, they are not conveniently managed and transferred across a computer network or stored in a limited computer storage system. As a result, image compression is commonly used to reduce image size resulting in poor image resolution. Here, we demonstrate custom convolution neural networks (CNNs) for both super-resolution image enhancement from low-resolution images and characterization of both cells and nuclei from hematoxylin and eosin (H&E) stained breast cancer histopathological images by using a combination of generator and discriminator …

Easycelltype: Marker-Based Cell-Type Annotation By Automatically Querying Multiple Databases, Ruoxing Li, Jianjun Zhang, Ziyi Li

Faculty, Staff and Student Publications

MOTIVATION: Cell label annotation is a challenging step in the analysis of single-cell RNA sequencing (scRNA-seq) data, especially for tissue types that are less commonly studied. The accumulation of scRNA-seq studies and biological knowledge leads to several well-maintained cell marker databases. Manually examining the cell marker lists against these databases can be difficult due to the large amount of available information. Additionally, simply overlapping the two lists without considering gene ranking might lead to unreliable results. Thus, an automated method with careful statistical testing is needed to facilitate the usage of these databases.

RESULTS: We develop a user-friendly computational tool, …

Estimating Causal Effects With Hidden Confounding Using Instrumental Variables And Environments, James P Long, Hongxu Zhu, Kim-Anh Do, Min Jin Ha

Faculty, Staff and Student Publications

Recent works have proposed regression models which are invariant across data collection environments [24, 20, 11, 16, 8]. These estimators often have a causal interpretation under conditions on the environments and type of invariance imposed. One recent example, the Causal Dantzig (CD), is consistent under hidden confounding and represents an alternative to classical instrumental variable estimators such as Two Stage Least Squares (TSLS). In this work we derive the CD as a generalized method of moments (GMM) estimator. The GMM representation leads to several practical results, including 1) creation of the Generalized Causal Dantzig (GCD) estimator which can be applied …

Pain Experience And Sensory Changes In Astronauts During And After Short-Lasting Commercial Spaceflight: A Proof-Of-Concept Study, Andrea K Sauer, Marie Vigouroux, Patrick M Dougherty, Juan Pablo Cata, Pablo M Ingelmo

Faculty, Staff and Student Publications

Space travel has been associated with musculoskeletal pain, yet little is known about the nociceptive changes and pain experience during spaceflight. This preliminary study aims to investigate the pain experience and sensory alterations in astronauts following a 17-day mission to the International Space Station (ISS) on Axiom Space's AX-1 commercial space flight. Two participants were enrolled, and data were collected pre-flight, in-flight, post-flight, and three-month post-flight. Validated pain questionnaires assessed anxiety, catastrophizing, impact on physical and mental health, disability, and overall pain experience. Qualitative interviews were conducted post-landing and conditioned pain modulation (CPM) and quantitative sensory testing (QST) were performed. …

Multi-Organ Spatial Stratification Of 3-D Dose Distributions Improves Risk Prediction Of Long-Term Self-Reported Severe Symptoms In Oropharyngeal Cancer Patients Receiving Radiotherapy: Development Of A Pre-Treatment Decision Support Tool, Andrew Wentzel, Abdallah S R Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate, G Elisabeta Marai

Faculty, Staff and Student Publications

Purpose: Identify Oropharyngeal cancer (OPC) patients at high-risk of developing long-term severe radiation-associated symptoms using dose volume histograms for organs-at-risk, via unsupervised clustering.

Material and methods: All patients were treated using radiation therapy for OPC. Dose-volume histograms of organs-at-risk were extracted from patients' treatment plans. Symptom ratings were collected via the MD Anderson Symptom Inventory (MDASI) given weekly during, and 6 months post-treatment. Drymouth, trouble swallowing, mucus, and vocal dysfunction were selected for analysis in this study. Patient stratifications were obtained by applying Bayesian Mixture Models with three components to patient's dose histograms for relevant organs. The clusters with the …

Overview Of The Hecktor Challenge At Miccai 2022: Automatic Head And Neck Tumor Segmentation And Outcome Prediction In Pet/Ct, Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D Fuller, Mario Jreige, Yornna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Faculty, Staff and Student Publications

This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. The challenge comprises two tasks related to the automatic analysis of FDG-PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. Task 1 is the fully automatic segmentation of H&N primary Gross Tumor Volume (GTVp) and metastatic lymph nodes (GTVn) from FDG-PET/CT images. Task 2 is the fully automatic prediction of Recurrence-Free Survival (RFS) …

The Contemporary Management Of Cancers Of The Sinonasal Tract In Adults, Rajat Thawani, Myung Sun Kim, Asad Arastu, Zizhen Feng, Malinda T West, Nicholas F Taflin, Kyaw Zin Thein, Ryan Li, Mathew Geltzeiler, Nancy Lee, Clifton David Fuller, Jennifer R Grandis, Charalampos S Floudas, Michael C Heinrich, Ehab Hanna, Ravi A Chandra

Faculty, Staff and Student Publications

Sinonasal malignancies make up <5% of all head and neck neoplasms, with an incidence of 0.5-1.0 per 100,000. The outcome of these rare malignancies has been poor, whereas significant progress has been made in the management of other cancers. The objective of the current review was to describe the incidence, causes, presentation, diagnosis, treatment, and recent developments of malignancies of the sinonasal tract. The diagnoses covered in this review included sinonasal undifferentiated carcinoma, sinonasal adenocarcinoma, sinonasal squamous cell carcinoma, and esthesioneuroblastoma, which are exclusive to the sinonasal tract. In addition, the authors covered malignances that are likely to be encountered in the sinonasal tract-primary mucosal melanoma, NUT (nuclear protein of the testis) carcinoma, and extranodal natural killer cell/T-cell lymphoma. For the purpose of keeping this review as concise and focused as possible, sarcomas and malignancies that can be classified as salivary gland neoplasms were excluded.

Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Kareem Wahid, Nanna M Sijtsema, Brandon Gunn, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Background: Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC.

Methods: The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall …

The History Of Oral Decitabine/Cedazuridine And Its Potential Role In Acute Myeloid Leukemia, Robert Briski, Guillermo Garcia-Manero, Hagop Kantarjian, Farhad Ravandi

Faculty, Staff and Student Publications

Decitabine, a member of the 5-azanucleosides, has a dose-dependent mechanism of action in vitro: termination of DNA replication at high doses, and inhibition of DNA methyltransferase at low doses. The alteration of DNA methylation patterns by low-dose decitabine is hypothesized to upregulate genes, which promote myeloblast differentiation. In a phase III clinical trial, low-dose decitabine achieved a superior overall response rate (ORR) when compared with 'treatment choice' [consisting of low-dose cytarabine (80%) and supportive care (20%)] as a frontline treatment for elderly patients with acute myeloid leukemia (AML). Despite an improved ORR, the median overall survival (OS) for elderly …

Benchmarking Outcomes For Molecularly Characterized Synchronous Oligometastatic Non-Small-Cell Lung Cancer Reveal, Brian De, Ahsan S Farooqi, Kyle G Mitchell, Ethan B Ludmir, Jeff Lewis, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, J Jack Lee, Stephen G Swisher, Don L Gibbons, Jianjun Zhang, Xiuning Le, Yasir Y Elamin, Daniel R Gomez, Matthew S Ning, Steven H Lin, Zhongxing Liao, Joe Y Chang, Ara A Vaporciyan, John V Heymach, Mara B Antonoff, Saumil J Gandhi

Faculty, Staff and Student Publications

Purpose: Local consolidative therapy (LCT) for patients with synchronous oligometastatic non-small-cell lung cancer is an evolving treatment strategy, but outcomes following LCT stratified by genetic mutations have not been reported. We sought to identify genomic associations with overall survival (OS) and progression-free survival (PFS) for these patients.

Methods: We identified all patients presenting between 2000 and 2017 with stage IV non-small-cell lung cancer and ≤ 3 synchronous metastatic sites. Patients were grouped according to mutational statuses. Primary outcomes included OS and PFS following initial diagnosis.

Results: Of 194 included patients, 121 received comprehensive LCT to all sites of disease with …

Construction Of The Interaction Network Of Hub Genes In The Progression Of Barrett's Esophagus To Esophageal Adenocarcinoma, Kai Li, Peipei Duan, Haifa He, Ruijuan Du, Qian Wang, Pengju Gong, Hua Bian

Faculty, Staff and Student Publications

Introduction: Esophageal adenocarcinoma (EAC) is one of the histologic types of esophageal cancer with a poor prognosis. The majority of EAC originate from Barrett's esophagus (BE). There are few studies focusing on the dynamic progression of BE to EAC.

Methods: R software was used to analyze differentially expressed genes (DEGs) based on RNA-seq data of 94 normal esophageal squamous epithelial (NE) tissues, 113 BE tissues and 147 EAC tissues. The overlapping genes of DEGs between BE and EAC were analyzed by Venn diagram tool. The hub genes were selected by Cytoscape software based on the protein-protein interaction network of the …

Performance Benchmark Metrics And Clinicopathologic Outcomes Of Mri-Guided Breast Biopsies: A Systematic Review And Meta-Analysis, Berat Bersu Özcan, Justin Yan, Yin Xi, Serine Baydoun, Marion E Scoggins, Başak E Doğan

Faculty, Staff and Student Publications

OBJECTIVE: To determine key performance metrics of magnetic resonance imaging (MRI)-guided breast biopsies (MRGB) to help identify reference benchmarks.

MATERIALS AND METHODS: We identified studies reporting MRGB results up to 04.01.2021 in the Embase database, Ovid Medline (R) Process, Other Non-Indexed Citations, Ovid Medline (R) and completed a PRISMA checklist and sources of bias (QUADAS-2). The inclusion criteria were English language, available histopathological outcomes, or at least one imaging follow-up after biopsy. A random intercept logistic regression model was used to pool rates. Between-study heterogeneity was quantified by the I2 statistic.

RESULTS: A total of 11,215 lesions in 50 articles …

Contemporaneous Symptom Networks Of Multidimensional Symptom Experiences In Cancer Survivors: A Network Analysis, Zheng Zhu, Yanling Sun, Yi Kuang, Xiaoyi Yuan, Haiyan Gu, Jing Zhu, Weijie Xing

Faculty, Staff and Student Publications

Background: Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks METHODS: Data from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer-related symptoms. We constructed contemporaneous networks with all 13 symptoms …

A Bayesian Piecewise Exponential Phase Ii Design For Monitoring A Time-To-Event Endpoint, Yun Qing, Peter F Thall, Ying Yuan

Faculty, Staff and Student Publications

A robust Bayesian design is presented for a single-arm phase II trial with an early stopping rule to monitor a time to event endpoint. The assumed model is a piecewise exponential distribution with non-informative gamma priors on the hazard parameters in subintervals of a fixed follow up interval. As an additional comparator, we also define and evaluate a version of the design based on an assumed Weibull distribution. Except for the assumed models, the piecewise exponential and Weibull model based designs are identical to an established design that assumes an exponential event time distribution with an inverse gamma prior on …

A Bibliometric And Visual Analysis Of Cancer-Associated Fibroblasts, Wei-Chen Yuan, Jie-Xiang Zhang, Hai-Bin Chen, Ying Yuan, Yu-Pei Zhuang, Hong-Li Zhou, Mu-Han Li, Wen-Li Qiu, Hong-Guang Zhou

Faculty, Staff and Student Publications

Background: Cancer-associated fibroblasts (CAFs) represent the predominant stromal component within the tumour microenvironment (TME), exhibiting considerable heterogeneity and plasticity that significantly impact immune response and metabolic reprogramming within the TME, thereby influencing tumour progression. Consequently, investigating CAFs is of utmost importance. The objective of this study is to employ bibliometric analysis in order to evaluate the current state of research on CAFs and predict future areas of research and emerging trends.

Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, encompassing the time period from January 1, 2001, to December 31, 2022. Apply …

Survival Outcomes In Patients With Relapsed/Refractory Or Mrd-Positive B-Cell Acute Lymphoblastic Leukemia Treated With Blinatumomab, Hagop M Kantarjian, Aaron C Logan, Faraz Zaman, Nicola Gökbuget, Ralf C Bargou, Yi Zeng, Gerhard Zugmaier, Franco Locatelli

Faculty, Staff and Student Publications

Blinatumomab has demonstrated significant efficacy in adult and pediatric patients with relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-cell ALL) and patients with measurable residual disease (MRD). This review aimed to compare median relapse-free survival (RFS) and median overall survival (OS) in adult and pediatric patients with R/R or MRD-positive B-cell ALL from pivotal studies [MT-103-211 and TOWER for adults with Philadelphia chromosome (Ph)-negative R/R B-cell ALL, ALCANTARA for adults with Ph-positive R/R B-cell ALL, MT-103-203 for adults with MRD-positive B-cell ALL, and MT-103-205 for pediatric patients with R/R B-cell ALL], with the median RFS and OS from retrospective analyses, country …

Targeted Therapy For Intractable Cancer On The Basis Of Molecular Profiles: An Open-Label, Phase Ii Basket Trial (Long March Pathway), Xiao-Dong Jiao, Bao-Dong Qin, Zhan Wang, Ke Liu, Ying Wu, Yan Ling, Wen-Xing Qin, Miao-Miao Wang, Ling-Yan Yuan, Savio George Barreto, Anthony W Kim, Kimberley Mak, Hao Li, Yuan-Yuan Xu, Xiao-Ming Qiu, Min Wu, Min Jin, Li-Chao Xu, Yi Zhong, Hui Yang, Xue-Qin Chen, Yu Zeng, Jun Shi, Wen-Yu Zhu, Qing-Qing Ding, Wei Jia, Su-Fen Liu, Jun-Jing Zhou, Hong Shen, Shi-Hua Yao, Zhao-Ji Guo, Ting Li, Pei-Juan Zhou, Xue-Wei Dong, Wen-Feng Lu, Robert L Coleman, Mehmet Akce, Chérif Akladios, Francesco Puccetti, Yuan-Sheng Zang

Faculty, Staff and Student Publications

Purpose: We evaluated he effects of molecular guided-targeted therapy for intractable cancer. Also, the epidemiology of druggable gene alterations in Chinese population was investigated.

Materials and methods: The Long March Pathway (ClinicalTrials.gov identifier: NCT03239015) is a non-randomized, open-label, phase II trial consisting of several basket studies examining the molecular profiles of intractable cancers in the Chinese population. The trial aimed to 1) evaluate the efficacy of targeted therapy for intractable cancer and 2) identify the molecular epidemiology of the tier II gene alterations among Chinese pan-cancer patients.

Results: In the first stage, molecular profiles of 520 intractable pan-cancer patients …

Intracranial Mesenchymal Tumor, Fet::Creb Fusion-Positive In The Lateral Ventricle, Hanim I Ozkizilkaya, Jason M Johnson, Barbara J O'Brien, Ian E Mccutcheon, Sujit S Prabhu, Amol J Ghia, Gregory N Fuller, Jason T Huse, Leomar Y Ballester

Faculty, Staff and Student Publications

No abstract provided.

The Mediating Effect Of Resilience On The Relationship Between Symptom Burden And Anxiety/Depression Among Chinese Patients With Primary Liver Cancer After Liver Resection, Xue Zhang, Haoran Zhang, Zonghao Zhang, Hua Fan, Shuwen Li

Faculty, Staff and Student Publications

Purpose: Primary liver cancer (PLC) is a common cancer of the digestive system. Patients with PLC often experience a heavy symptom burden and along with a significant levels of anxiety and depression after liver resection. High levels of symptom burden can lead to increased anxiety and depression, whereas high levels of resilience can alleviate these conditions. Therefore, we aimed to explore the relationships among symptom burden, resilience, and anxiety/depression in Chinese patients with PLC after liver resection and to determine whether resilience mediates the relationship between symptom burden and anxiety/depression.

Patients and methods: A total of 223 postoperative PLC patients …