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Personalized Llm Response Generation With Parameterized Memory Injection, Kai Zhang, Yejin Kim, Xiaozhong Liu Apr 2024

Personalized Llm Response Generation With Parameterized Memory Injection, Kai Zhang, Yejin Kim, Xiaozhong Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have exhibited remarkable proficiency in comprehending and generating natural language. On the other hand, personalized LLM response generation holds the potential to offer substantial benefits for individuals in critical areas such as medical. Existing research has explored memory-augmented methods to prompt the LLM with pre-stored user-specific knowledge for personalized response generation in terms of new queries. We contend that such paradigm is unable to perceive fine-granularity information. In this study, we propose a novel \textbf{M}emory-\textbf{i}njected approach using parameter-efficient fine-tuning (PEFT) and along with a Bayesian Optimisation searching strategy to achieve \textbf{L}LM \textbf{P}ersonalization(\textbf{MiLP}).


The Hallmarks Of Precancer, Mary M Stangis, Zhengyi Chen, Jimin Min, Sarah E Glass, Jordan O Jackson, Megan D Radyk, Xen Ping Hoi, W Nathaniel Brennen, Ming Yu, Huy Q Dinh, Robert J Coffey, Martha J Shrubsole, Keith S Chan, William M Grady, Srinivasan Yegnasubramanian, Costas A Lyssiotis, Anirban Maitra, Richard B Halberg, Neelendu Dey, Ken S Lau Apr 2024

The Hallmarks Of Precancer, Mary M Stangis, Zhengyi Chen, Jimin Min, Sarah E Glass, Jordan O Jackson, Megan D Radyk, Xen Ping Hoi, W Nathaniel Brennen, Ming Yu, Huy Q Dinh, Robert J Coffey, Martha J Shrubsole, Keith S Chan, William M Grady, Srinivasan Yegnasubramanian, Costas A Lyssiotis, Anirban Maitra, Richard B Halberg, Neelendu Dey, Ken S Lau

Faculty, Staff and Student Publications

Research on precancers, as defined as at-risk tissues and early lesions, is of high significance given the effectiveness of early intervention. We discuss the need for risk stratification to prevent overtreatment, an emphasis on the role of genetic and epigenetic aging when considering risk, and the importance of integrating macroenvironmental risk factors with molecules and cells in lesions and at-risk normal tissues for developing effective intervention and health policy strategies.


Syphilis Complicating Pregnancy And Congenital Syphilis. Reply, Irene A Stafford, Kimberly A Workowski, Laura H Bachmann Apr 2024

Syphilis Complicating Pregnancy And Congenital Syphilis. Reply, Irene A Stafford, Kimberly A Workowski, Laura H Bachmann

Faculty, Staff and Student Publications

The authors reply: The Jarisch–Herxheimer reaction is an underreported and often-over-looked sequela of antimicrobial therapy in persons with spirochetal disease and is caused by the release of treponemal constituents.1 Sandoval’s description of the clinical manifestations of this reaction is an important reminder for clinicians to recognize the reaction and avoid the pitfalls of incorrectly diagnosing it as an allergic reaction to penicillin; it also highlights a critical aspect of care for persons with syphilis, including neonates with congenital syphilis.


T-Cell Dysfunctions In Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Simona Colla Apr 2024

T-Cell Dysfunctions In Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Simona Colla

Faculty, Staff and Student Publications

Escape from immune surveillance is a hallmark of cancer. Immune deregulation caused by intrinsic and extrinsic cellular factors, such as altered T-cell functions, leads to immune exhaustion, loss of immune surveillance, and clonal proliferation of tumoral cells. The T-cell immune system contributes to the pathogenesis, maintenance, and progression of myelodysplastic syndrome (MDS). Here, we comprehensively reviewed our current biological knowledge of the T-cell compartment in MDS and recent advances in the development of immunotherapeutic strategies, such as immune checkpoint inhibitors and T-cell- and antibody-based adoptive therapies that hold promise to improve the outcome of patients with MDS.


Leveraging Explainable Artificial Intelligence To Optimize Clinical Decision Support, Siru Liu, Allison B Mccoy, Josh F Peterson, Thomas A Lasko, Dean F Sittig, Scott D Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M Cobb, David Mulherin, Colleen T Morton, Adam Wright Apr 2024

Leveraging Explainable Artificial Intelligence To Optimize Clinical Decision Support, Siru Liu, Allison B Mccoy, Josh F Peterson, Thomas A Lasko, Dean F Sittig, Scott D Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M Cobb, David Mulherin, Colleen T Morton, Adam Wright

Faculty, Staff and Student Publications

OBJECTIVE: To develop and evaluate a data-driven process to generate suggestions for improving alert criteria using explainable artificial intelligence (XAI) approaches.

METHODS: We extracted data on alerts generated from January 1, 2019 to December 31, 2020, at Vanderbilt University Medical Center. We developed machine learning models to predict user responses to alerts. We applied XAI techniques to generate global explanations and local explanations. We evaluated the generated suggestions by comparing with alert's historical change logs and stakeholder interviews. Suggestions that either matched (or partially matched) changes already made to the alert or were considered clinically correct were classified as helpful. …


Effect Of Aspirin Versus Low-Molecular-Weight Heparin Thromboprophylaxis On Medication Satisfaction And Out-Of-Pocket Costs: A Secondary Analysis Of A Randomized Clinical Trial, Nathan N O'Hara, Katherine P Frey, Deborah M Stein, Joseph F Levy, Gerard P Slobogean, Renan Castillo, Reza Firoozabadi, Madhav A Karunakar, Joshua L Gary, William T Obremskey, Rachel B Seymour, Joseph Cuschieri, C Daniel Mullins, Robert V O'Toole, Metrc Apr 2024

Effect Of Aspirin Versus Low-Molecular-Weight Heparin Thromboprophylaxis On Medication Satisfaction And Out-Of-Pocket Costs: A Secondary Analysis Of A Randomized Clinical Trial, Nathan N O'Hara, Katherine P Frey, Deborah M Stein, Joseph F Levy, Gerard P Slobogean, Renan Castillo, Reza Firoozabadi, Madhav A Karunakar, Joshua L Gary, William T Obremskey, Rachel B Seymour, Joseph Cuschieri, C Daniel Mullins, Robert V O'Toole, Metrc

Faculty, Staff and Student Publications

BACKGROUND: Current guidelines recommend low-molecular-weight heparin for thromboprophylaxis after orthopaedic trauma. However, recent evidence suggests that aspirin is similar in efficacy and safety. To understand patients' experiences with these medications, we compared patients' satisfaction and out-of-pocket costs after thromboprophylaxis with aspirin versus low-molecular-weight heparin.

METHODS: This study was a secondary analysis of the PREVENTion of CLots in Orthopaedic Trauma (PREVENT CLOT) trial, conducted at 21 trauma centers in the U.S. and Canada. We included adult patients with an operatively treated extremity fracture or a pelvic or acetabular fracture. Patients were randomly assigned to receive 30 mg of low-molecular-weight heparin (enoxaparin) …


Does An Early, Balanced Resuscitation Strategy Reduce The Incidence Of Hypofibrinogenemia In Hemorrhagic Shock?, David T Lubkin, Krislynn M Mueck, Gabrielle E Hatton, Jason B Brill, Mariela Sandoval, Jessica C Cardenas, Charles E Wade, Bryan A Cotton Apr 2024

Does An Early, Balanced Resuscitation Strategy Reduce The Incidence Of Hypofibrinogenemia In Hemorrhagic Shock?, David T Lubkin, Krislynn M Mueck, Gabrielle E Hatton, Jason B Brill, Mariela Sandoval, Jessica C Cardenas, Charles E Wade, Bryan A Cotton

Faculty, Staff and Student Publications

OBJECTIVES: Some centers have recommended including concentrated fibrinogen replacement in massive transfusion protocols (MTPs). Given our center's policy of aggressive early balanced resuscitation (1:1:1), beginning prehospital, we hypothesized that our rates of hypofibrinogenemia may be lower than those previously reported.

METHODS: In this retrospective cohort study, patients presenting to our trauma center November 2017 to April 2021 were reviewed. Patients were defined as hypofibrinogenemic (HYPOFIB) if admission fibrinogen

RESULTS: Of 29 782 patients, 6618 level 1 activations, and 1948 patients receiving emergency release blood,

CONCLUSIONS: Low rates of hypofibrinogenemia were found in our center which treats hemorrhage with early, balanced …


Oncogenic Oral Human Papillomavirus Clearance Patterns Over 10 Years, Gypsyamber D'Souza, Sakshi R Tewari, Tanya Troy, Jennifer Webster-Cyriaque, Dorothy J Wiley, Cecile Delille Lahiri, Frank Joseph Palella, Maura L Gillison, Howard D Strickler, Linda Struijk, Tim Waterboer, Ken Ho, Jennafer Kwait, Jason Lazar, Kathleen M Weber, Carole Fakhry Apr 2024

Oncogenic Oral Human Papillomavirus Clearance Patterns Over 10 Years, Gypsyamber D'Souza, Sakshi R Tewari, Tanya Troy, Jennifer Webster-Cyriaque, Dorothy J Wiley, Cecile Delille Lahiri, Frank Joseph Palella, Maura L Gillison, Howard D Strickler, Linda Struijk, Tim Waterboer, Ken Ho, Jennafer Kwait, Jason Lazar, Kathleen M Weber, Carole Fakhry

Faculty, Staff and Student Publications

Background: Effective screening for oropharyngeal cancer is lacking. Four oncogenic HPV clearance definitions were explored to understand long-term natural history for persistent oncogenic oral HPV (oncHPV), the precursor of oropharyngeal cancer.

Methods: Prospective multicenter cohort of participants living with/at-risk for HIV, with oral rinse and gargle samples collected every 6 to 12 months for up to 10 years and tested for oncHPV. HPV clearance definitions included 1 (clear1), 2 (clear2), 3 (clear3) consecutive negatives, or being negative at last two visits (clearlast).

Results: Median time to clearance of oncHPV exceeded 2 years for conservative definitions (clear3: 2.38, clearlast: 2.43), but …


Compare Deep Learning Model And Conventional Logistic Regression Model For The Identification Of Unstable Saccular Intracranial Aneurysms In Computed Tomography Angiography, Lu Zeng, Xiao-Yan Zhao, Li Wen, Yang Jing, Jing-Xu Xu, Chen-Cui Huang, Dong Zhang, Guang-Xian Wang Apr 2024

Compare Deep Learning Model And Conventional Logistic Regression Model For The Identification Of Unstable Saccular Intracranial Aneurysms In Computed Tomography Angiography, Lu Zeng, Xiao-Yan Zhao, Li Wen, Yang Jing, Jing-Xu Xu, Chen-Cui Huang, Dong Zhang, Guang-Xian Wang

Faculty, Staff and Student Publications

BACKGROUND: It is crucial to distinguish unstable from stable intracranial aneurysms (IAs) as early as possible to derive optimal clinical decision-making for further treatment or follow-up. The aim of this study was to investigate the value of a deep learning model (DLM) in identifying unstable IAs from computed tomography angiography (CTA) images and to compare its discriminatory ability with that of a conventional logistic regression model (LRM).

METHODS: From August 2011 to May 2021, a total of 1,049 patients with 681 unstable IAs and 556 stable IAs were retrospectively analyzed. IAs were randomly divided into training (64%), internal validation (16%), …


Evaluation Of Four Computed Tomography Reconstruction Algorithms Using A Coronary Artery Phantom, Shungo Sawamura, Shingo Kato, Yoshinori Funama, Seitaro Oda, Harumi Mochizuki, Sayuri Inagaki, Yuka Takeuchi, Tsubasa Morioka, Toshiharu Izumi, Yoichiro Ota, Hironori Kawagoe, Shihyao Cheng, Naoki Nakayama, Kazuki Fukui, Takashi Tsutsumi, Tae Iwasawa, Daisuke Utsunomiya Apr 2024

Evaluation Of Four Computed Tomography Reconstruction Algorithms Using A Coronary Artery Phantom, Shungo Sawamura, Shingo Kato, Yoshinori Funama, Seitaro Oda, Harumi Mochizuki, Sayuri Inagaki, Yuka Takeuchi, Tsubasa Morioka, Toshiharu Izumi, Yoichiro Ota, Hironori Kawagoe, Shihyao Cheng, Naoki Nakayama, Kazuki Fukui, Takashi Tsutsumi, Tae Iwasawa, Daisuke Utsunomiya

Faculty, Staff and Student Publications

BACKGROUND: Despite advancements in coronary computed tomography angiography (CTA), challenges in positive predictive value and specificity remain due to limited spatial resolution. The purpose of this experimental study was to investigate the effect of 2nd generation deep learning-based reconstruction (DLR) on the quantitative and qualitative image quality in coronary CTA.

METHODS: A vessel model with stepwise non-calcified plaque was scanned using 320-detector CT. Image reconstruction was performed using four techniques: hybrid iterative reconstruction (HIR), model-based iterative reconstruction (MBIR), DLR, and 2nd generation DLR. The luminal peak CT number, contrast-to-noise ratio (CNR), and edge rise slope (ERS) were quantitatively evaluated via …


Nodal Variants Are Associated With A Continuum Of Laterality Defects From Simple D-Transposition Of The Great Arteries To Heterotaxy, Zain Dardas, Jawid M Fatih, Angad Jolly, Moez Dawood, Haowei Du, Christopher M Grochowski, Edward G Jones, Shalini N Jhangiani, Xander H T Wehrens, Pengfei Liu, Weimin Bi, Eric Boerwinkle, Jennifer E Posey, Donna M Muzny, Richard A Gibbs, James R Lupski, Zeynep Coban-Akdemir, Shaine A Morris Apr 2024

Nodal Variants Are Associated With A Continuum Of Laterality Defects From Simple D-Transposition Of The Great Arteries To Heterotaxy, Zain Dardas, Jawid M Fatih, Angad Jolly, Moez Dawood, Haowei Du, Christopher M Grochowski, Edward G Jones, Shalini N Jhangiani, Xander H T Wehrens, Pengfei Liu, Weimin Bi, Eric Boerwinkle, Jennifer E Posey, Donna M Muzny, Richard A Gibbs, James R Lupski, Zeynep Coban-Akdemir, Shaine A Morris

Faculty, Staff and Student Publications

BACKGROUND: NODAL signaling plays a critical role in embryonic patterning and heart development in vertebrates. Genetic variants resulting in perturbations of the TGF-β/NODAL signaling pathway have reproducibly been shown to cause laterality defects in humans. To further explore this association and improve genetic diagnosis, the study aims to identify and characterize a broader range of NODAL variants in a large number of individuals with laterality defects.

METHODS: We re-analyzed a cohort of 321 proband-only exomes of individuals with clinically diagnosed laterality congenital heart disease (CHD) using family-based, rare variant genomic analyses. To this cohort we added 12 affected subjects with …


Identification Of Colorectal Cancer Cell Stemness From Single-Cell Rna Sequencing, Kangyu Lin, Saikat Chowdhury, Mohammad A Zeineddine, Fadl A Zeineddine, Nicholas J Hornstein, Oscar E Villarreal, Dipen M Maru, Cara L Haymaker, Jean-Nicolas Vauthey, George J Chang, Elena Bogatenkova, David Menter, Scott Kopetz, John Paul Shen Apr 2024

Identification Of Colorectal Cancer Cell Stemness From Single-Cell Rna Sequencing, Kangyu Lin, Saikat Chowdhury, Mohammad A Zeineddine, Fadl A Zeineddine, Nicholas J Hornstein, Oscar E Villarreal, Dipen M Maru, Cara L Haymaker, Jean-Nicolas Vauthey, George J Chang, Elena Bogatenkova, David Menter, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

UNLABELLED: Cancer stem cells (CSC) play a critical role in metastasis, relapse, and therapy resistance in colorectal cancer. While characterization of the normal lineage of cell development in the intestine has led to the identification of many genes involved in the induction and maintenance of pluripotency, recent studies suggest significant heterogeneity in CSC populations. Moreover, while many canonical colorectal cancer CSC marker genes have been identified, the ability to use these classical markers to annotate stemness at the single-cell level is limited. In this study, we performed single-cell RNA sequencing on a cohort of 6 primary colon, 9 liver metastatic …


Peritoneal Microenvironment Promotes Appendiceal Adenocarcinoma Growth: A Multi-Omics Approach Using Patient-Derived Xenografts, Vinay K Pattalachinti, Ichiaki Ito, Saikat Chowdhury, Abdelrahman Yousef, Yue Gu, Betul Beyza Gunes, Emma R Salle, Melissa W Taggart, Keith Fournier, Natalie W Fowlkes, John Paul Shen Apr 2024

Peritoneal Microenvironment Promotes Appendiceal Adenocarcinoma Growth: A Multi-Omics Approach Using Patient-Derived Xenografts, Vinay K Pattalachinti, Ichiaki Ito, Saikat Chowdhury, Abdelrahman Yousef, Yue Gu, Betul Beyza Gunes, Emma R Salle, Melissa W Taggart, Keith Fournier, Natalie W Fowlkes, John Paul Shen

Faculty, Staff and Student Publications

Appendiceal adenocarcinoma (AA) is unique from other gastrointestinal malignancies in that it almost exclusively metastasizes to the peritoneal cavity. However, few studies have investigated the molecular interaction of the peritoneal microenvironment and AA. Here, we use a multi-omics approach with orthotopic and flank-implanted patient-derived xenografts (PDX) to study the effect of the peritoneal microenvironment on AA. AA tumors implanted in the peritoneal microenvironment tended to grow faster and displayed greater nuclear expression of Ki-67 relative to the same tumors implanted in the flank. Comparing the tumor-specific transcriptome (excluding stromal transcription), the peritoneal microenvironment relatively upregulated genes related to proliferation, including …


Neutrophil Elastase Remodels Mammary Tumors To Facilitate Lung Metastasis, Amriti R Lulla, Said Akli, Cansu Karakas, Joseph A Caruso, Lucas D Warma, Natalie W Fowlkes, Xiayu Rao, Jing Wang, Kelly K Hunt, Stephanie S Watowich, Khandan Keyomarsi Apr 2024

Neutrophil Elastase Remodels Mammary Tumors To Facilitate Lung Metastasis, Amriti R Lulla, Said Akli, Cansu Karakas, Joseph A Caruso, Lucas D Warma, Natalie W Fowlkes, Xiayu Rao, Jing Wang, Kelly K Hunt, Stephanie S Watowich, Khandan Keyomarsi

Faculty, Staff and Student Publications

Metastatic disease remains the leading cause of death due to cancer, yet the mechanism(s) of metastasis and its timely detection remain to be elucidated. Neutrophil elastase (NE), a serine protease secreted by neutrophils, is a crucial mediator of chronic inflammation and tumor progression. In this study, we used the PyMT model (NE+/+ and NE-/-) of breast cancer to interrogate the tumor-intrinsic and -extrinsic mechanisms by which NE can promote metastasis. Our results showed that genetic ablation of NE significantly reduced lung metastasis and improved metastasis-free survival. RNA-sequencing analysis of primary tumors indicated differential regulation of tumor-intrinsic actin cytoskeleton signaling pathways …


Author Correction: Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer Apr 2024

Author Correction: Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer

Faculty, Staff and Student Publications

No abstract provided.


Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission By Promoting B/Cd 4 T Cell Crosstalk, Chengyi Li, Ryan Clauson, Luke F Bugada, Fang Ke, Bing He, Zhixin Yu, Hongwei Chen, Binyamin Jacobovitz, Hongxiang Hu, Polina Chuikov, Brett Dallas Hill, Syed M Rizvi, Yudong Song, Kai Sun, Pasieka Axenov, Daniel Huynh, Xinyi Wang, Lana Garmire, Yu Leo Lei, Irina Grigorova, Fei Wen, Marilia Cascalho, Wei Gao, Duxin Sun Apr 2024

Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission By Promoting B/Cd 4 T Cell Crosstalk, Chengyi Li, Ryan Clauson, Luke F Bugada, Fang Ke, Bing He, Zhixin Yu, Hongwei Chen, Binyamin Jacobovitz, Hongxiang Hu, Polina Chuikov, Brett Dallas Hill, Syed M Rizvi, Yudong Song, Kai Sun, Pasieka Axenov, Daniel Huynh, Xinyi Wang, Lana Garmire, Yu Leo Lei, Irina Grigorova, Fei Wen, Marilia Cascalho, Wei Gao, Duxin Sun

Faculty, Staff and Student Publications

Current cancer vaccines using T cell epitopes activate antitumor T cell immunity through dendritic cell/macrophage-mediated antigen presentation, but they lack the ability to promote B/CD4 T cell crosstalk, limiting their anticancer efficacy. We developed antigen-clustered nanovaccine (ACNVax) to achieve long-term tumor remission by promoting B/CD4 T cell crosstalk. The topographic features of ACNVax were achieved using an iron nanoparticle core attached with an optimal number of gold nanoparticles, where the clusters of HER2 B/CD4 T cell epitopes were conjugated on the gold surface with an optimal intercluster distance of 5-10 nm. ACNVax effectively trafficked to lymph nodes and cross-linked with …


Neonatal Outcomes In The Surgical Management Of Placenta Accreta Spectrum Disorders: A Retrospective Single-Center Observational Study From 468 Vietnamese Pregnancies Beyond 28 Weeks Of Gestation, Phuc Nhon Nguyen, Anh Dinh Bao Vuong, Xuan Trang Thi Pham Apr 2024

Neonatal Outcomes In The Surgical Management Of Placenta Accreta Spectrum Disorders: A Retrospective Single-Center Observational Study From 468 Vietnamese Pregnancies Beyond 28 Weeks Of Gestation, Phuc Nhon Nguyen, Anh Dinh Bao Vuong, Xuan Trang Thi Pham

Faculty, Staff and Student Publications

BACKGROUND: Placenta accreta spectrum disorders (PASDs) increase the mortality rate for mothers and newborns over a decade. Thus, the purpose of the study is to evaluate the neonatal outcomes in emergency cesarean section (CS) and planned surgery as well as in Cesarean hysterectomy and the modified one-step conservative uterine surgery (MOSCUS). The secondary aim is to reveal the factors relating to poor neonatal outcomes.

METHODS: This was a single-center retrospective study conducted between 2019 and 2020 at Tu Du Hospital, in the southern region of Vietnam. A total of 497 pregnant women involved in PASDs beyond 28 weeks of gestation …


Targeting Branched N-Glycans And Fucosylation Sensitizes Ovarian Tumors To Immune Checkpoint Blockade, Hao Nie, Pratima Saini, Taito Miyamoto, Liping Liao, Rafal J Zielinski, Heng Liu, Wei Zhou, Chen Wang, Brennah Murphy, Martina Towers, Tyler Yang, Yuan Qi, Toshitha Kannan, Andrew Kossenkov, Hiroaki Tateno, Daniel T Claiborne, Nan Zhang, Mohamed Abdel-Mohsen, Rugang Zhang Apr 2024

Targeting Branched N-Glycans And Fucosylation Sensitizes Ovarian Tumors To Immune Checkpoint Blockade, Hao Nie, Pratima Saini, Taito Miyamoto, Liping Liao, Rafal J Zielinski, Heng Liu, Wei Zhou, Chen Wang, Brennah Murphy, Martina Towers, Tyler Yang, Yuan Qi, Toshitha Kannan, Andrew Kossenkov, Hiroaki Tateno, Daniel T Claiborne, Nan Zhang, Mohamed Abdel-Mohsen, Rugang Zhang

Faculty, Staff and Student Publications

Aberrant glycosylation is a crucial strategy employed by cancer cells to evade cellular immunity. However, it's unclear whether homologous recombination (HR) status-dependent glycosylation can be therapeutically explored. Here, we show that the inhibition of branched N-glycans sensitizes HR-proficient, but not HR-deficient, epithelial ovarian cancers (EOCs) to immune checkpoint blockade (ICB). In contrast to fucosylation whose inhibition sensitizes EOCs to anti-PD-L1 immunotherapy regardless of HR-status, we observe an enrichment of branched N-glycans on HR-proficient compared to HR-deficient EOCs. Mechanistically, BRCA1/2 transcriptionally promotes the expression of MGAT5, the enzyme responsible for catalyzing branched N-glycans. The branched N-glycans on HR-proficient tumors augment their …


Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, The Atomwise Aims Program Apr 2024

Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, The Atomwise Aims Program

Faculty, Staff and Student Publications

High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …


Retrorectal Hernia: A Rare Cause Of Constipation Diagnosed On Magnetic Resonance (Mr) Defecography, Olanrewaju Ogunleye, Abeer H Abdelhafez, Eduardo Matta, Larry Kramer Apr 2024

Retrorectal Hernia: A Rare Cause Of Constipation Diagnosed On Magnetic Resonance (Mr) Defecography, Olanrewaju Ogunleye, Abeer H Abdelhafez, Eduardo Matta, Larry Kramer

Faculty, Staff and Student Publications

Retrorectal herniation of the sigmoid colon is a rare condition characterized by the protrusion of a segment of the colon into the pre-sacral space and posterior to the rectum. This herniation occurs through a defect in the peritoneum, which may have developed secondary to congenital mechanisms, surgery, trauma, or inflammatory processes. Here, a case of retrorectal herniation of the sigmoid colon in an elderly female patient presenting with constipation is reported, with a review of the literature.


Analyzing Pelvic Asymmetry By Sex And Ancestry: Insights From An Osteological Collection, Bryan O Ren, Robert W Goldberg, Karen D Standefer, Jason R Teplensky, Joseph P Drain, Conor F Mccarthy, John G Birch, Raymond W Liu Apr 2024

Analyzing Pelvic Asymmetry By Sex And Ancestry: Insights From An Osteological Collection, Bryan O Ren, Robert W Goldberg, Karen D Standefer, Jason R Teplensky, Joseph P Drain, Conor F Mccarthy, John G Birch, Raymond W Liu

Faculty, Staff and Student Publications

Introduction: Pelvic asymmetry has been noted in pelvic imaging, and might influence the development of various spinal pathologies, most notably scoliosis. There is a limited understanding of the relationship between pelvic asymmetry and sex and ancestry, and limited use of 3D modeling. The purpose of this study was to identify pelvic asymmetry and morphology differences between sex and ancestry utilizing 3D modeling on young adults in an osteological collection.

Methods: Thirty-three osteological pelvic specimens aged 18-25 years (average age 21.4 ± 2.0 years) were scanned to create virtual 3D models for analysis. Pelvic asymmetry and morphology were measured and compared …


Do You Want To Be A Urologist? Gender Differences For Medical Student Perception Of Urology, David Chung, Suvig Dua, Michael Morra, Karim Sidhom, Kunal Jain, Gregory Hosier Apr 2024

Do You Want To Be A Urologist? Gender Differences For Medical Student Perception Of Urology, David Chung, Suvig Dua, Michael Morra, Karim Sidhom, Kunal Jain, Gregory Hosier

Faculty, Staff and Student Publications

INTRODUCTION: Gender inequality has been prevalent in the history of medicine, specifically within surgical specialties. Though there have been advances, urology has remained overwhelmingly male-dominant, with slow growth in female recruitment. This survey study evaluated whether gender-related differences in the perception of urology are present among future applicants that could account for gender disparity seen in recruitment.

METHODS: An anonymized, online survey was distributed to medical students enrolled at the Max Rady College of Medicine during the 2022-2023 semester. Attracting and deterring survey statements were created using current literature to guide topics of interest. Participants rated each statement using a …


Robust Capital Cost Optimization Of Generation And Multitimescale Storage Requirements For A 100% Renewable Australian Electricity Grid, Raheel A Shaikh, David J Vowles, Alex Dinovitser, Andrew Allison, Derek Abbott Apr 2024

Robust Capital Cost Optimization Of Generation And Multitimescale Storage Requirements For A 100% Renewable Australian Electricity Grid, Raheel A Shaikh, David J Vowles, Alex Dinovitser, Andrew Allison, Derek Abbott

Faculty, Staff and Student Publications

Transitioning from a fossil-fuel-dependent economy to one based on renewable energy requires significant investment and technological advancement. While wind and solar technologies provide lower cost electricity, enhanced energy storage and transmission infrastructure come at a cost for managing renewable intermittency. Energy storage systems vary in characteristics and costs, and future grids will incorporate multiple technologies, yet the optimal combination of storage technologies and the role of interconnectors in alleviating storage needs are not widely explored. This study focuses on optimal generation-storage capacity requirements to elucidate associated investments. We propose a multitimescale storage solution consisting of three storage categories and an …


Transcriptional Signature Of Durable Effector T Cells Elicited By A Replication Defective Hcmv Vaccine, Xiaohua Ye, David J H Shih, Zhiqiang Ku, Junping Hong, Diane F Barrett, Richard E Rupp, Ningyan Zhang, Tong-Ming Fu, W Jim Zheng, Zhiqiang An Apr 2024

Transcriptional Signature Of Durable Effector T Cells Elicited By A Replication Defective Hcmv Vaccine, Xiaohua Ye, David J H Shih, Zhiqiang Ku, Junping Hong, Diane F Barrett, Richard E Rupp, Ningyan Zhang, Tong-Ming Fu, W Jim Zheng, Zhiqiang An

Faculty, Staff and Student Publications

Human cytomegalovirus (HCMV) is a leading infectious cause of birth defects and the most common opportunistic infection that causes life-threatening diseases post-transplantation; however, an effective vaccine remains elusive. V160 is a live-attenuated replication defective HCMV vaccine that showed a 42.4% efficacy against primary HCMV infection among seronegative women in a phase 2b clinical trial. Here, we integrated the multicolor flow cytometry, longitudinal T cell receptor (TCR) sequencing, and single-cell RNA/TCR sequencing approaches to characterize the magnitude, phenotype, and functional quality of human T cell responses to V160. We demonstrated that V160 de novo induces IE-1 and pp65 specific durable polyfunctional …


Population Coding Of Strategic Variables During Foraging In Freely Moving Macaques, Neda Shahidi, Melissa Franch, Arun Parajuli, Paul Schrater, Anthony Wright, Xaq Pitkow, Valentin Dragoi Apr 2024

Population Coding Of Strategic Variables During Foraging In Freely Moving Macaques, Neda Shahidi, Melissa Franch, Arun Parajuli, Paul Schrater, Anthony Wright, Xaq Pitkow, Valentin Dragoi

Faculty, Staff and Student Publications

Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dorsolateral prefrontal cortex. The animals decided when and where to forage based on whether their prediction of reward was fulfilled or violated. This prediction was not solely based on a history of reward delivery, but also on the understanding that waiting longer improves the chance of reward. The task variables were continuously …


A Multi-Institutional Comparison Of Retrospective Deformable Dose Accumulation For Online Adaptive Magnetic Resonance-Guided Radiotherapy, Martina Murr, Uffe Bernchou, Edyta Bubula-Rehm, Mark Ruschin, Parisa Sadeghi, Peter Voet, Jeff D Winter, Jinzhong Yang, Eyesha Younus, Cornel Zachiu, Yao Zhao, Hualiang Zhong, Daniela Thorwarth Apr 2024

A Multi-Institutional Comparison Of Retrospective Deformable Dose Accumulation For Online Adaptive Magnetic Resonance-Guided Radiotherapy, Martina Murr, Uffe Bernchou, Edyta Bubula-Rehm, Mark Ruschin, Parisa Sadeghi, Peter Voet, Jeff D Winter, Jinzhong Yang, Eyesha Younus, Cornel Zachiu, Yao Zhao, Hualiang Zhong, Daniela Thorwarth

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Application of different deformable dose accumulation (DDA) solutions makes institutional comparisons after online-adaptive magnetic resonance-guided radiotherapy (OA-MRgRT) challenging. The aim of this multi-institutional study was to analyze accuracy and agreement of DDA-implementations in OA-MRgRT.

MATERIAL AND METHODS: One gold standard (GS) case deformed with a biomechanical-model and five clinical cases consisting of prostate (2x), cervix, liver, and lymph node cancer, treated with OA-MRgRT, were analyzed. Six centers conducted DDA using institutional implementations. Deformable image registration (DIR) and DDA results were compared using the contour metrics Dice Similarity Coefficient (DSC), surface-DSC, Hausdorff-distance (HD95%), and accumulated dose-volume histograms (DVHs) …


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 Apr 2024

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 …


Comprehensive Analysis Of Transcription Factor-Based Molecular Subtypes And Their Correlation To Clinical Outcomes In Small-Cell Lung Cancer, Sehhoon Park, Tae Hee Hong, Soohyun Hwang, Simon Heeke, Carl M Gay, Jiyeon Kim, Hyun-Ae Jung, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Jong Ho Cho, Yong Soo Choi, Jhingook Kim, Young Mog Shim, Hong Kwan Kim, Lauren Averett Byers, John V Heymach, Yoon-La Choi, Se-Hoon Lee, Keunchil Park Apr 2024

Comprehensive Analysis Of Transcription Factor-Based Molecular Subtypes And Their Correlation To Clinical Outcomes In Small-Cell Lung Cancer, Sehhoon Park, Tae Hee Hong, Soohyun Hwang, Simon Heeke, Carl M Gay, Jiyeon Kim, Hyun-Ae Jung, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Jong Ho Cho, Yong Soo Choi, Jhingook Kim, Young Mog Shim, Hong Kwan Kim, Lauren Averett Byers, John V Heymach, Yoon-La Choi, Se-Hoon Lee, Keunchil Park

Faculty, Staff and Student Publications

BACKGROUND: Recent studies have reported the predictive and prognostic value of novel transcriptional factor-based molecular subtypes in small-cell lung cancer (SCLC). We conducted an in-depth analysis pairing multi-omics data with immunohistochemistry (IHC) to elucidate the underlying characteristics associated with differences in clinical outcomes between subtypes.

METHODS: IHC (n = 252), target exome sequencing (n = 422), and whole transcriptome sequencing (WTS, n = 189) data generated from 427 patients (86.4% males, 13.6% females) with SCLC were comprehensively analysed. The differences in the mutation profile, gene expression profile, and inflammed signatures were analysed according to the IHC-based molecular subtype.

FINDINGS: IHC-based …


Fedfsa: Hybrid And Federated Framework For Functional Status Ascertainment Across Institutions, Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina K Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn Apr 2024

Fedfsa: Hybrid And Federated Framework For Functional Status Ascertainment Across Institutions, Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina K Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

Faculty, Staff and Student Publications

Introduction: Patients' functional status assesses their independence in performing activities of daily living, including basic ADLs (bADL), and more complex instrumental activities (iADL). Existing studies have discovered that patients' functional status is a strong predictor of health outcomes, particularly in older adults. Depite their usefulness, much of the functional status information is stored in electronic health records (EHRs) in either semi-structured or free text formats. This indicates the pressing need to leverage computational approaches such as natural language processing (NLP) to accelerate the curation of functional status information. In this study, we introduced FedFSA, a hybrid and federated NLP framework …


C2h2 Zinc Finger Transcription Factors Associated With Hemoglobinopathies, Xing Zhang, Fangfang Xia, Xiaotian Zhang, Robert M Blumenthal, Xiaodong Cheng Apr 2024

C2h2 Zinc Finger Transcription Factors Associated With Hemoglobinopathies, Xing Zhang, Fangfang Xia, Xiaotian Zhang, Robert M Blumenthal, Xiaodong Cheng

Faculty, Staff and Student Publications

In humans, specific aberrations in β-globin results in sickle cell disease and β-thalassemia, symptoms of which can be ameliorated by increased expression of fetal globin (HbF). Two recent CRISPR-Cas9 screens, centered on ∼1500 annotated sequence-specific DNA binding proteins and performed in a human erythroid cell line that expresses adult hemoglobin, uncovered four groups of candidate regulators of HbF gene expression. They are (1) members of the nucleosome remodeling and deacetylase (NuRD) complex proteins that are already known for HbF control; (2) seven C2H2 zinc finger (ZF) proteins, including some (ZBTB7A and BCL11A) already known for directly silencing the fetal γ-globin …