Dongjie Chen

State Key Laboratory Of Oncogenes And Related Genes
Shanghai, 200025, China

Last Updated: 09/26/2026

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Found 13 publications

Identification of a Novel Small Molecule STING Agonist Reshaping the Immunomicroenvironment of Pancreatic Ductal Adenocarcinoma.

Identification of a Novel Small Molecule STING Agonist Reshaping the Immunomicroenvironment of Pancreatic Ductal Adenocarcinoma.

Journal: International journal of biological sciences

Published: November 28, 2024

TFAP2A enhances tumor stemness and promotes metastasis in pancreatic ductal adenocarcinoma.

TFAP2A enhances tumor stemness and promotes metastasis in pancreatic ductal adenocarcinoma.

Journal: iScience

Published: November 08, 2024

A Distinguished Roadmap of Fibroblast Senescence in Predicting Immunotherapy Response and Prognosis Across Human Cancers.

A Distinguished Roadmap of Fibroblast Senescence in Predicting Immunotherapy Response and Prognosis Across Human Cancers.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Published: June 14, 2024

Pan-cancer analysis implicates novel insights of lactate metabolism into immunotherapy response prediction and survival prognostication.

Pan-cancer analysis implicates novel insights of lactate metabolism into immunotherapy response prediction and survival prognostication.

Journal: Journal of experimental & clinical cancer research : CR

Published: February 05, 2024

Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer.

Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer.

Journal: Aging

Published: July 17, 2023

Comprehensive machine learning-generated classifier identifies pro-metastatic characteristics and predicts individual treatment in pancreatic cancer: A multicenter cohort study based on super-enhancer profiling.

Comprehensive machine learning-generated classifier identifies pro-metastatic characteristics and predicts individual treatment in pancreatic cancer: A multicenter cohort study based on super-enhancer profiling.

Journal: Theranostics

Published: April 05, 2023

Interplay of four types of RNA modification writers revealed distinct tumor microenvironment and biological characteristics in pancreatic cancer.

Interplay of four types of RNA modification writers revealed distinct tumor microenvironment and biological characteristics in pancreatic cancer.

Journal: Frontiers in immunology

Published: August 29, 2022

Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer's disease.

Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer's disease.

Journal: Frontiers in aging neuroscience

Published: July 14, 2022

Ferroptosis-Related IncRNAs Are Prognostic Biomarker of Overall Survival in Pancreatic Cancer Patients.

Ferroptosis-Related IncRNAs Are Prognostic Biomarker of Overall Survival in Pancreatic Cancer Patients.

Journal: Frontiers in cell and developmental biology

Published: November 22, 2021

The hypoxia-related signature predicts prognosis, pyroptosis and drug sensitivity of osteosarcoma.

The hypoxia-related signature predicts prognosis, pyroptosis and drug sensitivity of osteosarcoma.

Journal: Frontiers in cell and developmental biology

Published: November 14, 2021

N6-Methyladenosine-Related LncRNAs Are Potential Remodeling Indicators in the Tumor Microenvironment and Prognostic Markers in Osteosarcoma.

N6-Methyladenosine-Related LncRNAs Are Potential Remodeling Indicators in the Tumor Microenvironment and Prognostic Markers in Osteosarcoma.

Journal: Frontiers in immunology

Published: October 31, 2021

Integrated Machine Learning and Bioinformatic Analyses Constructed a Novel Stemness-Related Classifier to Predict Prognosis and Immunotherapy Responses for Hepatocellular Carcinoma Patients.

Integrated Machine Learning and Bioinformatic Analyses Constructed a Novel Stemness-Related Classifier to Predict Prognosis and Immunotherapy Responses for Hepatocellular Carcinoma Patients.

Journal: International journal of biological sciences

Published: September 08, 2021

Showing 1-12 of 13

Last Updated: 09/26/2026