Publications by authors named "Yenan Wu"

Article Synopsis
  • The study focuses on improving the prognosis of oesophageal squamous cell carcinoma (ESCC) by developing a classification system based on genetic data, aiming to enhance treatment precision.
  • Researchers used multi-omics data to create an Enhancer Demethylation-Regulated Gene Score (EDRGS) model, which categorizes ESCC into high and low subtypes, with high indicating poorer outcomes and a potential response to immunotherapy.
  • The EDRGS model outperforms traditional markers in predicting treatment responses, showing EDRGS-high is linked to better immunotherapeutic outcomes while EDRGS-low is associated with responses to specific cancer drugs like palbociclib.
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Cancer stem cells (CSCs) are crucial for tumorigenesis, metastasis, and therapy resistance in esophageal squamous cell carcinoma (ESCC). To further elucidate the mechanism underlying characteristics of CSCs and develop CSCs-targeted therapy, an efficient culture system that could expand and maintain CSCs is needed. CSCs reside in a complex tumor microenvironment, and three-dimensional (3D) culture systems of biomimetic scaffolds are expected to better support the growth of CSCs by recapitulating the biophysical properties of the extracellular matrix (ECM).

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Objective: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy. Differentiation from chronic pancreatitis (CP) is currently inaccurate in about one-third of cases. Misdiagnoses in both directions, however, have severe consequences for patients.

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Recognition and quantitative analytics of histopathological cells are the golden standard for diagnosing multiple cancers. Despite recent advances in deep learning techniques that have been widely investigated for the automated segmentation of various types of histopathological cells, the heavy dependency on specific histopathological image types with sufficient supervised annotations, as well as the limited access to clinical data in hospitals, still pose significant challenges in the application of computer-aided diagnosis in pathology. In this paper, we focus on the model generalization of cell segmentation towards cross-tissue histopathological images.

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Integrated molecular analysis of human cancer has yielded molecular classification for precise management of cancer patients. Here, we analyzed the whole genomic, epigenomic, transcriptomic, and proteomic data of 155 esophageal squamous cell carcinomas (ESCCs). Multi-omics analysis led to the classification of ESCCs into four subtypes: cell cycle pathway activation, NRF2 oncogenic activation, immune suppression (IS), and immune modulation (IM).

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Short instrumental streamflow records in the South and East Tibetan Plateau (SETP) limit understanding of the full range and long-term variability in streamflow, which could greatly impact freshwater resources for about one billion people downstream. Here we reconstruct eight centuries (1200-2012 C.E.

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Article Synopsis
  • - Studies show that in pancreatic ductal adenocarcinoma (PDAC), certain genes can be highly methylated in their promoter regions yet are still actively transcribed, indicating a complex relationship between methylation and gene expression.
  • - Researchers identified that around 2% of regulated genes in PDAC displayed higher transcription levels when coupled with promoter hypermethylation and discovered several transcription factors that selectively bind to these methylated promoters, notably members of the NFAT family.
  • - NFATc1, a specific transcription factor, was found to be significantly more active in PDAC compared to normal tissues and was linked to the activation of genes responsible for metastasis and poor patient outcomes, highlighting the crucial role of DNA methylation in
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Given the challenge to estimate representative long-term natural variability of streamflow from limited observed data, a hierarchical, multilevel Bayesian regression (HBR) was developed to reconstruct the 1489-2006 annual streamflow data at six Athabasca River Basin (ARB) gauging stations based on 14 tree ring chronologies. Seven nested models were developed to maximize the applications of available tree ring predictors. Based on results of goodness-of-fit tests, the HBR developed was skillful and reliable in reconstructing the streamflow of ARB.

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Aberrant DNA methylation is often involved in carcinogenesis. Our initial goal was to identify DNA methylation biomarkers associated with pancreatic cancer. A genomewide methylation study was performed on DNA from pancreatic ductal adenocarcinoma (PDAC) and endocrine pancreas tumors.

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Binding of transcription factors to mutated DNA sequences is a likely regulator of cancer progression. Noncoding regulatory mutations such as those on the core promoter of the gene encoding human telomerase reverse transcriptase have been shown to affect gene expression in cancer. Using a protein microarray of 667 transcription factor DNA-binding domains and subsequent functional assays, we looked for transcription factors that preferentially bind the mutant hTERT promoter and characterized their downstream effects.

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Chicken embryonic stem cells (cESCs) obtained from stage X embryos provide a novel model for the study of avian embryonic development. A new way to maintain cESCs for a long period still remains unexplored. We found that the cESCs showed stem cell-like properties for a long term with the support of DF-1 feeder and basic culture medium supplemented with human basic fibroblast growth factor (hbFGF), mouse stem cell factor (mSCF), and human leukemia inhibitory factor (hLIF).

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