Lyuqin Chen

ORCID: 0000-0002-0173-268X
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About
Contact & Profiles
Research Areas
  • Estrogen and related hormone effects
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Breast Cancer Treatment Studies
  • Epigenetics and DNA Methylation
  • Click Chemistry and Applications
  • S100 Proteins and Annexins
  • Genomics and Chromatin Dynamics
  • Single-cell and spatial transcriptomics
  • Protein Degradation and Inhibitors
  • Advanced Biosensing Techniques and Applications
  • Fibroblast Growth Factor Research
  • Kruppel-like factors research
  • RNA Research and Splicing

Magee-Womens Research Institute
2020-2025

UPMC Hillman Cancer Center
2020-2025

Cancer Research Center
2020-2025

University of Pittsburgh
2020-2024

University of Pittsburgh Medical Center
2020

Abstract As one of the most successful cancer therapeutic targets, estrogen receptor-α (ER/ESR1) has been extensively studied over past few decades. Sequencing technological advances have enabled genome-wide analysis ER action. However, comparison individual studies is limited by different experimental designs, and meta-analyses are available. Here, we established EstroGene database through unified processing data from 246 experiments including 136 transcriptomic, cistromic, epigenetic...

10.1158/0008-5472.can-23-0539 article EN Cancer Research 2023-06-05

Abstract Background Resistance to endocrine therapy is a major challenge of managing estrogen receptor positive (ER+) breast cancer. We previously reported frequent overexpression FGFR4 in resistant cell lines and cancers that recurred metastasized following therapy, suggesting as potential driver resistance. In this study, we investigated the role mediating resistance explored therapeutic targeting advanced Methods A gene expression signature activity was examined ER+ cancer pre-...

10.1101/2024.03.18.585626 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-03-20

<div>Abstract<p>As one of the most successful cancer therapeutic targets, estrogen receptor-α (ER/ESR1) has been extensively studied over past few decades. Sequencing technological advances have enabled genome-wide analysis ER action. However, comparison individual studies is limited by different experimental designs, and meta-analyses are available. Here, we established EstroGene database through unified processing data from 246 experiments including 136 transcriptomic,...

10.1158/0008-5472.c.6780365.v3 preprint EN 2024-09-16
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