Translational Medical Research Commons^™

Sik2 Inhibitor Grn-300 Enhances Sensitivity To Paclitaxel Treatment In Triple-Negative Breast Cancer, Marc A. Pina

Dissertations and Theses (Open Access)

Breast cancer is one of the most frequently diagnosed cancers worldwide, with approximately 15% classified as Triple-Negative Breast Cancer (TNBC). TNBC lacks expression of estrogen (ER) and progesterone (PR), and does not overexpress HER-2, leaving patients without effective targeted therapies. As a result, treatment primarily relies on chemotherapy, most commonly paclitaxel, a taxane that stabilize microtubules, disrupts chromosome separation and induces apoptosis. However, TNBCs are an aggressive cancer subtype, and patients often will develop resistance after a few rounds of chemotherapy. This study addresses a critical unmet need for more effective TNBC therapies by targeting Salt-Inducible Kinase 2 (SIK2), which …

Orthogonal Comparison Of Nuclear And Mitochondrial Clonal Architectures In Hematologic Malignancies, Nehali Shah

Dissertations and Theses (Open Access)

Acute myeloid leukemia (AML) is a hematologic malignancy characterized by accumulation of mutations that disrupt hematopoietic differentiation and promote clonal expansion. Understanding how these mutations arise and evolve is essential for improving diagnosis, prognosis, and treatment stratification. Current methods are limited by either restricted genomic coverage (targeted panels) or low throughput and high cost (in single-cell whole genome sequencing, scWGS). An emerging alternative is the use of mitochondrial DNA (mtDNA) mutations as clonal markers.

This study aims to determine whether mitochondrial-derived clonal architectures correlate with nuclear-derived clonal architectures in AML, thereby evaluating mtDNA as a scalable orthogonal tool for lineage …

Muscle Rev-Erb Controls Time-Dependent Adaptations To Chronic Exercise In Mice, Jidong Liu, Fang Xiao, Abhinav Choubey, Udhaya Kumar S, Yanxiang Wang, Sungguan Hong, Tingting Yang, Husniye Gul Otlu, Ege Sanem Oturmaz, Emanuele Loro, Yuxiang Sun, Pradip Saha, Tejvir S Khurana, Li Chen, Xinguo Hou, Zheng Sun

Center on Aging Staff Publications

The best time of the day for chronic exercise training and the mechanism underlying the timing effects is unclear. Here, we show that low-intensity, low-volume treadmill training in mice before sleep yields greater benefits than after waking for muscle contractile performance and systemic glucose tolerance. Baseline muscle performance also exhibits diurnal variations, with higher strength but lower endurance before sleep than after waking. Muscle-specific knockout of circadian clock genes Rev-erbα/β (Rev-MKO) in male mice eradicates the diurnal variations in both training and baseline conditions without affecting muscle mass, mitochondrial content, food intake, or spontaneous activities. Multi-omics and metabolic measurements reveal …

Computerized Diagnostic Decision Support Systems-Isabel Pro Versus Chatgpt-4 Part Ii, Joe M Bridges, Xiaoqian Jiang, Michael Ige, Oluwatoniloba Toyobo

Faculty, Staff and Student Publications

Objective: Does a Tree-of-Thought prompt and reconsideration of Isabel Pro's differential improve ChatGPT-4's accuracy; does increasing expert panel size improve ChatGPT-4's accuracy; does ChatGPT-4 produce consistent outputs in sequential requests; what is the frequency of fabricated references?

Materials and methods: Isabel Pro, a computerized diagnostic decision support system, and ChatGPT-4, a large language model. Using 201 cases from the New England Journal of Medicine, each system produced a differential diagnosis ranked by likelihood. Statistics were Mean Reciprocal Rank, Recall at Rank, Average Rank, Number of Correct Diagnoses, and Rank Improvement. For reproducibility, the study compared the initial expert panel run …

Developing Novel Therapies Targeting The Tumor Microenvironment Of Aggressive Breast Cancer, Lan T H Phi

Dissertations and Theses (Open Access)

Triple-negative breast cancer (TNBC) and inflammatory breast cancer (IBC) are the most aggressive breast cancer subtypes. The tumor microenvironment (TME) is critical in driving these aggressive breast cancers' clinical phenotype and aggressiveness. Therefore, we explored novel actionable targets and complementary therapies targeting the TME to improve the outcomes of patients with these cancers.

In this thesis, we identified AXL as a potential therapeutic target in IBC due to its role in generating an immunosuppressive TME. Indeed, inhibiting the AXL pathway suppresses IBC tumor growth and reduces M2 macrophage populations in various mouse models. Mechanistically, AXL facilitates the polarization of M2 …

Impact Of Tumor Cell Expressed Cd38 On Metastasis And Immune Evasion In Breast Cancer, Tanvi Visal

Dissertations and Theses (Open Access)

Triple-negative breast cancer (TNBC) is a highly metastatic breast cancer subtype. The epithelial-to-mesenchymal transition (EMT) of cancer cells is a key feature of the metastatic cascade and is not a binary process but often generates malignant cells with both epithelial (E) and mesenchymal (M) traits known as hybrid EM cells. Recent studies highlight the enhanced metastatic potential of the hybrid EM cells. However, molecular insights and targetable vulnerabilities within hybrid EM remain elusive. We discovered that hybrid EM murine tumors are enriched in CD38, an immunesuppressive molecule associated with worse clinical outcomes in liquid malignancies but relatively understudied in solid …

Overcoming Resistance To Cdk4/6-Targeted Therapy Using Jak2/Stat3 Inhibitor In Triple-Negative Breast Cancer, Chuling Zhuang

Dissertations and Theses (Open Access)

Breast cancer is the most common type of cancer diagnosed in women, with nearly 30% of cases becoming metastatic accounting for over 90% of breast cancer-related deaths. Among different breast cancer subtypes, triple-negative breast cancer (TNBC) has the worst prognosis and the highest propensity to metastasize. However, TNBC patients have limited treatment options due to their lack of actionable drug targets while therapeutic resistances result in high rates of recurrence and metastasis. Cyclin-dependent kinase 4 and 6 (CDK4/6) are major cell cycle regulators that control G1 to S phase transition and aberrant hyperactivation of the CDK4/6 pathway results in uncontrolled …

Elucidating The Multi-Omics Of Early-Onset Colorectal Cancer, Jumanah Alshenaifi

Dissertations and Theses (Open Access)

The incidence and mortality rates of sporadic early-onset colorectal cancer have increased in recent decades, but there is no clear etiological basis for this trend. EOCRC is commonly defined as colon and rectal cancers diagnosed before the age of 50 years. The rising incidence of EOCRC has made it the second most common cancer and the third leading cause of cancer death in this age group. The rising incidence of EOCRC is also documented internationally in more than 20 countries across different continents. Clinically, EOCRC has a distinct, more aggressive clinical profile than LOCRC. While approximately 15% of EOCRC cases …

An Investigation Into The Potential Of Cell Therapies For Acute Myeloid Leukemia (Aml) Treatment, Amanda Eckstrom

Dissertations and Theses (Open Access)

Despite recent advances in acute myeloid leukemia (AML) treatment, curative rates remain poor with high rates of relapse and many patients are unable to tolerate the intensive chemotherapy standard of care regimen. Cell therapies have shown great success against hematologic malignancies but face several challenges including treatment-related toxicities and human-leukocyte antigen (HLA) matching. Natural killer (NK) cells and gamma delta (γδ) T cells offer alternative effector cell options for cell therapies that do not require HLA-matching and have shown low toxicity in previous studies. In this project, we sought to evaluate FT538 induced pluripotent stem cell-derived NK (iPSC-NK) and donor-derived …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Karthik Reddy Kami Reddy, Abu Hena Mostafa Kamal, Nagireddy Putluri, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

Leveraging Large Language Models For Knowledge-Free Weak Supervision In Clinical Natural Language Processing, Enshuo Hsu, Kirk Roberts

Faculty, Staff and Student Publications

The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partial solutions to this issue, particularly using large language models (LLMs), but their performance still trails traditional supervised methods with moderate amounts of gold-standard data. In particular, inferencing with LLMs is computationally heavy. We propose an approach leveraging fine-tuning LLMs and weak supervision with virtually no domain knowledge that still achieves consistently dominant performance. Using a prompt-based approach, the LLM is used to generate weakly-labeled …

Detection Of Alteration In Carotid Artery Volumetry Using Standard-Of-Care Computed Tomography Surveillance Scans Following Unilateral Radiation Therapy For Early-Stage Tonsillar Squamous Cell Carcinoma Survivors: A Cross-Sectional Internally-Matched Carotid Isodose Analysis, Efstratios Koutroumpakis, Mohamed A Naser, Abdallah Sherif Radwan Mohamed, Salman A Eraj, Andrea Jarre, Jay C Shiao, Mona Kamal, Subha Perni, Jack P Phan, William H Morrison, Steven J Frank, G Brandon Gunn, Adam S Garden, Anita Deswal, Jun-Ichi Abe, David I Rosenthal, Elie Mouhayar, Clifton D Fuller

Faculty, Staff and Student Publications

Aim: This study leveraged standard-of-care CT scans of patients receiving unilateral radiotherapy (RT) for early tonsillar cancer to detect volumetric changes in the carotid arteries, and determine whether there is a dose-response relationship.

Methods: Disease-free cancer survivors (>3 months since therapy and age > 18 years) treated with intensity modulated RT for early (T1-2, N0-2b) tonsillar cancer with pre- and post-therapy contrast-enhanced CT scans available were included. Patients treated with definitive surgery, bilateral RT, or additional RT before the post-RT CT scan were excluded. Isodose lines from treatment plans were projected onto both scans, facilitating the delineation of carotid artery …

Contributions Of Pathobiological And Translational Science To Understanding And Managing Ischemic Heart Disease: Progress, Impediments, And Future Directions, L Maximilian Buja

The Texas Heart Institute Journal

Key pathobiological components of ischemic heart disease have been identified as follows: (1) In 1970 to 1973, myocardial infarct size was found to be the primary determinant of prognosis after acute myocardial infarction (AMI); (2) in 1973 to 1989, vulnerable coronary artery plaques were found to predispose individuals to coronary plaque disruption and thrombosis, causing major AMI; (3) in 1972, timely coronary reperfusion was demonstrated to limit the size of evolving AMI but with risk of reperfusion injury; and (4) in 1986, myocardial conditioning was found to be a clinically significant modulator capable of delaying AMI progression. Promising cardioprotective strategies …

Proteomic Profile Of The Icam1 Pk56m Hfpef Risk Variant, Pedro Giro, Mallory Filipp, Michael J Zhang, Ethan D Moser, Edward B Thorp, Prarthana J Dalal, Ravi V Shah, Patrick T Ellinor, Jonathan W Cunningham, Sean J Jurgens, Arjun Sinha, Laura Rasmussen-Torvik, Jorge Kizer, Kent D Taylor, Philip Greenland, Bruce M Psaty, Russell P Tracy, Lin Yee Chen, Amil M Shah, Bing Yu, Sanjiv J Shah, Ravi B Patel

Faculty, Staff and Student Publications

A common missense variant in ICAM1 among African American individuals (rs5491; pK56M) has been associated with risk of heart failure with preserved ejection fraction (HFpEF), but the pathways that lead to HFpEF among those with this variant are not clear. In this analysis of 92 circulating proteins and their associated networks, we identified 7 circulating inflammatory proteins associated with rs5491 among >600 African American individuals. Using weighted coexpression network analysis, 3 protein networks were identified, one of which was associated with rs5491. This protein network was most highly represented by members of the tumor necrosis receptor superfamily. The rs5491 variant …

Utilizing Thalamic Deep Brain Stimulation For An Electronic Seizure Diary In A Definite Sudden Unexpected Death In Epilepsy Case, Surya Suresh, Yash Vakilna, Vladimir Vashin, Samden Lhatoo, Sandipan Pati

Faculty, Staff and Student Publications

Objective: Sudden unexpected death in epilepsy (SUDEP) is a serious threat to individuals with intractable epilepsies, contributing to premature mortality. Understanding the elusive pathophysiological mechanisms of SUDEP, especially in cases without observable terminal events, remains a crucial area for investigation. This study aimed to shed light on the burden of epileptiform activity preceding SUDEP by utilizing an automated electronic seizure diary derived from a sensing-enabled thalamic deep brain stimulator (DBS).

Methods: Herein, we present the case of a 57-year-old man afflicted with intractable multifocal epilepsy secondary to cortical dysplasia and encephalomalacia resulting from severe traumatic brain injury. Despite an initial …

Investigating The Role Of The Gut Microbiota On Immune Checkpoint Inhibitor-Mediated Colitis, Taylor Halsey, Robert Jenq

Dissertations and Theses (Open Access)

Immune checkpoint inhibitors (ICIs) have been revolutionary in the fight against cancer by recruiting the host immune system as an agent for attack on malignant cells. Unfortunately, immune-related adverse events (irAEs), including ICI-mediated colitis (IMC), are common side effects that result from immune cell mediated damage on healthy tissues. Recent studies have highlighted a role for the gut microbiota in modulating ICI-mediated anti-tumor responses, but less is known regarding how the gut microbiota may impact on irAEs. Considering that the gastrointestinal tract harbors thousands of unique microbial species, many of which are known to modulate the immune system, microbes and …

Cord Blood-Derived Invariant Natural Killer T Cells As A Platform For Allogeneic Chimeric Antigen Receptor Cell Therapy, Maison Grefe

Dissertations and Theses (Open Access)

Chimeric antigen receptor (CAR) T cells have revolutionized the treatment of hematopoietic malignancies achieving >50% complete response rates in numerous refractory/relapsed B cell malignancies. However, there are challenges that hinder CAR-T efficacy and bar the broader use of this therapy in patients. One approach to address these challenges is to create a safe allogeneic CAR cell product by using cells that do not cause graft versus host disease (GvHD). Invariant natural killer T (iNKT) cells are an ideal candidate as they are restricted to the monomorphic CD1d protein in contrast to HLA restricted αβ-T cells and therefore are safe in …

Interrogating Therapeutic Resistance To Oncogenic Krasg12c-Based Therapies In Colorectal Cancer, Oluwadara Coker

Dissertations and Theses (Open Access)

Colorectal cancer is the second leading cause of cancer-related deaths and the third most common cancer in the United States. Although KRAS is mutated in 50% of patients with metastatic CRC (mCRC), it has historically been a challenging therapeutic target. The recent approval of novel covalent inhibitors selective for KRASG12C mutation have entered the clinic, which has not only marked a major milestone in cancer drug discovery but has also intensified efforts to directly target other KRAS mutations that have also successfully entered the clinic. However, treatment-associated resistance mechanisms have long threatened to attenuate clinical benefit through either adaptive or …

Intraprocedural Versus Initial Follow-Up Minimal Ablative Margin Assessment After Colorectal Liver Metastasis Thermal Ablation: Which One Better Predicts Local Outcomes?, Yuan-Mao Lin, Iwan Paolucci, Jessica Albuquerque Marques Silva, Caleb S O'Connor, Bryan M Fellman, Aaron K Jones, Joshua D Kuban, Steven Y Huang, Zeyad A Metwalli, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Objectives: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation.

Materials and methods: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation …

A Phase I Study Of Docetaxel Plus Synthetic Lycopene In Metastatic Prostate Cancer Patients, Michael B Lilly, Chunli Wu, Yu Ke, Wen-Pin Chen, Adam C Soloff, Kent Armeson, Noriko N Yokoyama, Xiaotian Li, Liankun Song, Ying Yuan, Christine E Mclaren, Xiaolin Zi

Faculty, Staff and Student Publications

Purpose: Our preclinical studies showed that lycopene enhanced the anti-prostate cancer efficacy of docetaxel in animal models. A phase I trial (NCT0149519) was conducted to identify an optimum dose of synthetic lycopene in combination with docetaxel (and androgen blockade [androgen deprivation therapy, ADT]), and to evaluate its effect on the safety and pharmacokinetics of docetaxel in men with metastatic prostate cancer.

Methods: Subjects were treated with 21-day cycles of 75 mg/m2 docetaxel (and ADT), plus lycopene at 30, 90 or 150 mg/day. A Bayesian model averaging continual reassessment method was used to guide dose escalation. Pharmacokinetics of docetaxel …

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

The Enact Network Is Acting On Housing Instability And The Unhoused Using The Open Health Natural Language Processing Toolkit, Daniel R Harris, Sunyang Fu, Andrew Wen, Alexandria Corbeau, Darren Henderson, Jordan Hilsman, David Oniani, Yanshan Wang

Faculty, Staff and Student Publications

Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC). Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), …

Effects Of Huoxue Qufeng Decoction Combined With Tongguan Liquefying Acupoint Penetration Therapy On Swallowing Function And Quality Of Life In Patients With Ischemic Stroke, Xuzhong Liang, Li Ma, Lixia Zhang, Dongnian Yang, Lanrui Zeng

Faculty, Staff and Student Publications

Objective: To analyze the effects of Huoxue Qufeng Decoction combined with Tongguan Liquefying Acupoint Penetration therapy on swallowing function and quality of life in patients with ischemic stroke.

Methods: A total of 145 patients with post-stroke dysphagia admitted to Dingxi People's Hospital from January 2019 to May 2022 were selected with 65 patients in the control group and 80 patients in the observation group. The control group received Huoxue Qufeng Decoction alone, while the observation group received additional Tongguan Liquefying Acupoint Penetration therapy. Clinical efficacy, NIH Stroke Scale (NIHSS) score, Water Swallow Test, Swallowing Function Assessment (SSA) score, MD Anderson …

Characterizing Treatment Non-Responders And Responders In Completed Alzheimer's Disease Clinical Trials, Dulin Wang, Yaobin Ling, Kristofer Harris, Paul E Schulz, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Characterizing differential responses to Alzheimer's disease (AD) drugs will provide better insights into personalized treatment strategies. Our study aims to identify heterogeneous treatment effects and pre-treatment features that moderate the treatment effect of Galantamine, Bapineuzumab, and Semagacestat from completed trial data. The causal forest method can capture heterogeneity in treatment responses. We applied causal forest modeling to estimate the treatment effect and identify efficacy moderators in each trial. We found several patient's pretreatment conditions that determined treatment efficacy. For example, in Galantamine trials, whole brain volume (1092.54 vs. 1060.67 ml, P < .001) and right hippocampal volume (2.43e-3 vs. 2.79e-3, P < .001) are significantly different between responsive and non-responsive subgroups. Overall, our implementation of causal forests in AD clinical trials reveals the heterogeneous treatment effects and different moderators for AD drug responses, highlighting promising personalized treatment based on patient-specific characteristics in AD research and drug development.

Diet-Stimulated Marrow Adiposity Fails To Worsen Early, Age-Related Bone Loss, Cody Mcgrath, Sarah E Little-Letsinger, Gabriel M Pagnotti, Buer Sen, Zhihui Xie, Gunes Uzer, Guniz B Uzer, Xiaopeng Zong, Martin A Styner, Janet Rubin, Maya Styner

Faculty, Staff and Student Publications

Introduction: Longitudinal effect of diet-induced obesity on bone is uncertain. Prior work showed both no effect and a decrement in bone density or quality when obesity begins prior to skeletal maturity. We aimed to quantify long-term effects of obesity on bone and bone marrow adipose tissue (BMAT) in adulthood.

Methods: Skeletally mature, female C57BL/6 mice (n = 70) aged 12 weeks were randomly allocated to low-fat diet (LFD; 10% kcal fat; n = 30) or high-fat diet (HFD; 60% kcal fat; n = 30), with analyses at 12, 15, 18, and 24 weeks (n = 10/group). Tibial microarchitecture was analyzed …

Translational Research Targeting Biliary Tract Cancer, Yan Zhu

Dissertations and Theses (Open Access)

Biliary tract cancer (BTC) is malignant tumor that originates from the biliary tract, including cholangiocarcinoma (CCA) and gallbladder cancer (GBC). In this translational research program targeting BTC, we focus on three aspects: the development of a combination treatment against CCA, the exploration of the immune background of GBC, and the establishment of a CCA mouse model mimicking mutation profiles of CCA patients.

Patients with cholangiocarcinoma have poor clinical outcomes due to late diagnoses, poor prognoses, and limited treatment strategies. To identify novel drug combinations for this disease, we have conducted a genome wide CRISPR screen anchored on the bromodomain and …

A Novel Ngs Assay To Detect Any Kmt2a Fusion Transcript At Low Levels, Ghayas Issa

Dissertations and Theses (Open Access)

Measurable residual disease (MRD) detection is associated with cancer relapse. Leukemias with rearrangement of the lysine methyltransferase 2 A gene (KMT2Ar) have an adverse prognosis with more than 80 possible fusion partner genes (FPG) identified. With the advent of effective targeted therapies for KMT2Ar leukemia such as menin inhibitors, there is an unmet need for sensitive assays to detect these various fusions. Standard next-generation sequencing (NGS) methods cannot accurately detect genetic alterations at low frequencies because of inherent technical errors and the need for high sequencing depth. Blocker Displacement Amplification (BDA) technology enables selective detection of such rare …

Single Cell Proteogenomics Analysis Of Aml Samples Treated With Decitabine And Venetoclax Reveals Divergent Treatment Escape Mechanisms, Yi June Kim

Dissertations and Theses (Open Access)

Venetoclax is a small molecule inhibitor targeting BCL-2. Since its approval, the combination therapy of hypomethylating agents and Venetoclax (HMA+Ven) has become a standard of care for acute myeloid leukemia (AML) patients unfit for intensive chemotherapy. Nonetheless, clinical challenges persist as patients either do not respond or eventually relapse, and the underlying mechanisms of these outcomes are not yet fully understood. Prior studies have identified genetic factors (TP53 and RTK/RAS pathway mutations) and phenotypic factors (monocytic differentiation) to be associated with resistance. In this light, we hypothesized that integrative assessment of genetic and phenotypic factors could further elucidate the unknown …

“Be Sustainable”: Eosc-Life Recommendations For Implementation Of Fair Principles In Life Science Data Handling, Romain David, Arina Rybina, Jean-Marie Burel, Jean-Karim Heriche, Pauline Audergon, Jan-Willem Boiten, Frederik Coppens, Sara Crockett, Katrina Exter, Sven Fahrner, Maddalena Fratelli, Carole Goble, Philipp Gormanns, Tobias Grantner, Björn Grüning, Kim Tamara Gurwitz, John M Hancock, Henriette Harmse, Petr Holub, Nick Juty, Geoffrey Karnbach, Emma Karoune, Antje Keppler, Jessica Klemeier, Carla Lancelotti, Jean-Luc Legras, Allyson L Lister, Dario Livio Longo, Rebecca Ludwig, Bénédicte Madon, Marzia Massimi, Vera Matser, Rafaele Matteoni, Michaela Th Mayrhofer, Christian Ohmann, Maria Panagiotopoulou, Helen Parkinson, Isabelle Perseil, Claudia Pfander, Roland Pieruschka, Michael Raess, Andreas Rauber, Audrey S Richard, Paolo Romano, Antonio Rosato, Alex Sánchez-Pla, Susanna-Assunta Sansone, Ugis Sarkans, Beatriz Serrano-Solano, Jing Tang, Ziaurrehman Tanoli, Jonathan Tedds, Harald Wagener, Martin Weise, Hans V Westerhoff, Rudolf Wittner, Jonathan Ewbank, Niklas Blomberg, Philip Gribbon

Faculty, Staff and Student Publications

The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large-scale data-driven research and computational analyses. Here, we present key findings, procedures, effective measures and recommendations for generating and establishing sustainable life science resources based on the collaborative, cross-disciplinary work done within the EOSC-Life (European Open Science Cloud for Life Sciences) consortium. Bringing together 13 European life science research infrastructures, it has laid the foundation for an open, digital space to support biological and medical research. Using lessons learned from …

Reap-2: An Interactive Quantitative Tool For Robust And Efficient Dose-Response Curve Estimation, Xinying Fang, Xinyi Liu, Vernon M Chinchilli, Michael Wang, Hong-Gang Wang, Nikolay V Dokholyan, Chan Shen, J Jack Lee, Shouhao Zhou

Faculty, Staff and Student Publications

REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.