A5053657434- Multiple Myeloma Research and Treatments
- Bioinformatics and Genomic Networks
- Protein Degradation and Inhibitors
- Computational Drug Discovery Methods
- Cancer Genomics and Diagnostics
- Cancer-related gene regulation
- Sarcoma Diagnosis and Treatment
- Gene expression and cancer classification
- Neuroblastoma Research and Treatments
- Tumors and Oncological Cases
- Pancreatic and Hepatic Oncology Research
- Single-cell and spatial transcriptomics
- Chromosomal and Genetic Variations
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Ophthalmology and Visual Impairment Studies
- Pharmacogenetics and Drug Metabolism
- Epigenetics and DNA Methylation
- Topic Modeling
- Ubiquitin and proteasome pathways
- Inflammatory mediators and NSAID effects
- Ferroptosis and cancer prognosis
- CRISPR and Genetic Engineering
- Receptor Mechanisms and Signaling
- Prostate Cancer Treatment and Research
Indiana University – Purdue University Indianapolis
2017-2025
Indiana University School of Medicine
2018-2025
Indiana University Health
2021-2025
Indiana University
2022-2025
Indiana University Indianapolis
2020-2025
University School
2025
Zhengzhou University
2024
Sichuan University
2024
Wenzhou Medical University
2021-2023
Affiliated Eye Hospital of Wenzhou Medical College
2021-2023
While most pediatric sarcomas respond to front-line therapy, some bone do not show radiographic response like soft-tissue (rhabdomyosarccomas) but 90% necrosis. Though, new therapies are urgently needed improve survival and quality of life in patients with sarcomas. Complex chromosomal aberrations such as amplifications deletions DNA sequences frequently observed Evaluation copy number variations (CNVs) associated sarcoma at the time diagnosis or following therapy offers an opportunity...
Immunotherapy is now standard of care for multiple myeloma, where the most common targets are B cell maturation antigen, CD38, and G protein-coupled receptor class C group 5 member D but strategies to identify additional needed. We have utilized two large datasets genomic data integrated them with existing databases expressed surface in myeloma patients. Importantly, we also specific defined subgroups patients including primary translocations high-risk subgroups. Examples subgroup include...
Multiple myeloma (MM) is an incurable malignancy characterized by mutated plasma cell clonal expansion in the bone marrow, leading to severe clinical symptoms. Thus, identifying new therapeutic targets for MM crucial. We identified oligosaccharyltransferase (OST) complex as a novel vulnerability cells. Elevated expression of this associated with relapsed, high-risk MM, and poor prognosis. Disrupting OST suppressed growth, induced cell-cycle arrest, apoptosis. Combined inhibition bortezomib...
Multiple Myeloma is an incurable plasma cell malignancy with a poor survival rate that usually treated immunomodulatory drugs (iMiDs) and proteosome inhibitors (PIs). The malignant cells quickly become resistant to these agents causing relapse uncontrolled growth of clones. From whole genome sequencing (WGS) RNA (RNA-seq) studies, different high-risk translocation, copy number, mutational, transcriptional markers can be identified. One markers, PHF19, epigenetically regulates cycle other...
Glioblastoma (GBM) is the most common and aggressive primary brain malignancy. Adhesion G protein-coupled receptors (aGPCRs) have attracted interest for their potential as treatment targets. Here, we show that CD97 (ADGRE5) promising aGPCR target in GBM, by virtue of its de novo expression compared to healthy tissue. knockdown or knockout significantly reduces tumor initiation capacity patient-derived GBM cultures (PDGCs) vitro vivo. We find promotes glycolytic metabolism via...
Chemoresistance has been a major challenge in the treatment of patients with breast cancer. The diverse omics platforms and small sample sizes reported current studies chemoresistance cancer limit consensus regarding underlying molecular mechanisms applicability these study findings. Therefore, we built two transcriptome datasets for chemotherapy-resistant cancers—one comprising paired samples from 40 before after chemotherapy second including unpaired 690 45 chemotherapy. Subsequent...
Alternatively-activated pathways have been observed in biological experiments cancer studies, but the concept had not fully explored computational system biology. Therefore, an alternatively-activated pathway identification method was proposed and applied to primary breast liver metastasis research using microarray data. Interestingly, results show that cytokine-cytokine receptor interaction calcium signaling were significantly enriched under both conditions. TGF beta found be hub network...
Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic malignancy. Due to its wide heterogeneity, PDAC acts aggressively and responds poorly chemotherapies, causing an urgent need for development of new therapeutic strategies. Cell lines have been used as foundation drug disease modeling. CRISPR-Cas9 plays a key role in every step-in discovery: from target identification validation preclinical cancer cell testing. Using cell-line models technology together...
Multiple myeloma (MM) is a devastating plasma cell malignancy characterized by the expansion of aberrant monoclonal cells in bone marrow, leading to severe clinical manifestations and poor prognosis, particularly relapsed/refractory cases. Identifying novel therapeutic targets crucial improve treatment outcomes these patients. In this study, we investigated role protein arginine methyltransferase 1 (PRMT1) MM pathogenesis explored its potential as target. We observed that PRMT1, responsible...
In the prediction of synergy drug combinations, systems pharmacology models expand scope experiment screening and overcome limitations current computational posed by their lack mechanical interpretation integration gene essentiality. We therefore investigated combinations for cancer therapies utilizing records in NCI ALMANAC, we employed logistic regression to test statistical significance pathway features that interaction. trained our predictive using 43 NCI-60 cell lines, 165 KEGG...
Alternative splicing plays a pivotal role in tumorigenesis and proliferation. However, its pattern pathogenic has not been systematically analyzed multiple myeloma or subtypes. profiles for 598 newly diagnosed patients with comprehensive genomic annotation identified primary translocations, 1q amplification, DIS3 events to have more differentially spliced than those without. Splicing levels were correlated expression of factors. Moreover, the non-homologous end joining pathway was an...
Because there is no effective treatment for late-stage prostate cancer (PCa) at this moment, identifying novel targets therapy of advanced PCa urgently needed. A new network-based systems biology approach, XDeath, developed to detect crosstalk signaling pathways associated with progression. This unique integrated network merges gene causal regulation networks and protein-protein interactions identify co-targets treatment. The results show that polo-like kinase 1 (Plk1) DNA methyltransferase...
Bayesian networks is a powerful method for identifying causal relationships among variables. However, as the network size increases, time complexity of searching optimal structure grows exponentially. We proposed novel search algorithm - Fast and Furious Network (FFBN). Compared to existing greedy algorithm, FFBN uses significantly fewer model configuration rules determine direction edges when constructing network, which leads greatly improved computational speed. benchmarked performance by...
Background Precision medicine attempts to tailor the right therapy for patient. Recent progress in large‐scale collection of patents’ tumor molecular profiles The Cancer Genome Atlas (TCGA) provides a foundation systematic discovery potential drug targets specific different types cancer. However, we still lack powerful computational methods effectively integrate multiple omics data and protein‐protein interaction network technology an optimum target recommendation individual Methods In this...
In online video platforms, reading or writing comments on interesting videos has become an essential part of the watching experience. However, existing recommender systems mainly model users' interaction behaviors with videos, lacking consideration in user behavior modeling. this paper, we propose a novel recommendation approach called LSVCR by leveraging histories both and comments, so as to jointly conduct personalized comment recommendation. Specifically, our consists two key components,...
In this paper, we propose a low complexity method to eliminate random object motion in real time. This is based on the radar system composed of AD8302 and phase shifter. RNN used predict output voltage signal AD8302, difference caused by predicted compensated time according relationship voltage, so as obtain vital signs. At same time, also modify curve increase accuracy eliminating body motion. The experiment shows that can linear retain sinusoidal loudspeaker case combination motion, which...
Recently, generative recommendation has emerged as a promising new paradigm that directly generates item identifiers for recommendation. However, key challenge lies in how to effectively construct are suitable recommender systems. Existing methods typically decouple tokenization from subsequent training, likely resulting suboptimal performance. To address this limitation, we propose ETEGRec, novel End-To-End Generative Recommender by seamlessly integrating and Our framework is developed...
Abstract Introduction: Although multiple myeloma (MM) is considered incurable, immune-related therapies are emerging as promising approaches to prolong patient survival. Alternative splicing (AS) has been identified a mechanism causing therapy resistance CD19 CAR-T in B-cell malignancies, but no systematic evaluation made on the impact towards MM immunotherapy targets. Methods: Utilizing two datasets (MMRF N=852 and IU N=122), we selected high-confidence targets based high RNA expression...