Jinhui Liu

Exploring the Dynamic Changes of Intercellular Connections in Cervical Cancer: Insights From Transcriptomic Data Combined With Single-Cell Sequencing.

Matrix stiffness enhances viability, migration, invasion and invadopodia formation of oral cancer cells via PI3K/AKT pathway in vitro

International Evidence‐Based Guidelines for Traditional Chinese Medicine Management of Allergic Rhinitis

Single-Cell and Spatial Transcriptomics Explore Purine Metabolism-Related Prognostic Risk Model and Tumor Immune Microenvironment Modulation in Ovarian Cancer.

Poly(ε‐Caprolactone)/Hydroxyapatite Nanofiber Scaffolds With <scp>FGF18</scp> for Cartilage Repair and Dual Modification of Apoptosis and Inflammation in Knee Osteoarthritis

Purine metabolism in tumorigenesis and its clinical implications.

Spraying double-stranded RNA targets UDP-N-acetylglucosamine pyrophosphorylase in the control of Nilaparvata lugens

Exploring the prognostic value of BRMS1 + microglia based on single-cell anoikis regulator patterns in the immunologic microenvironment of GBM

Exploring the prognostic value of BRMS1 + microglia based on single-cell anoikis regulator patterns in the immunologic microenvironment of GBM.

Methionine-driven YTHDF1 expression facilitates bladder cancer progression by attenuating RIG-I-modulated immune responses and enhancing the eIF5B-PD-L1 axis

Peceleganan Spray for the Treatment of Skin Wound Infections

Multi‐Scenario Applications of Fluoro‐Free Super Liquid‐Repellent Particles Prepared Through Excluded Volume Effect

Integration of machine learning for developing a prognostic signature related to programmed cell death in colorectal cancer.

Prognostic and immunotherapeutic potential of regulatory T cell-associated signature in ovarian cancer.

Prognostic and immunotherapeutic potential of regulatory T  <scp>cell‐associated</scp> signature in ovarian cancer

Crosstalk of disulfidptosis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in bladder cancer based on a machine learning survival framework.

Circadian rhythm-related genes index: A predictor for HNSCC prognosis, immunotherapy efficacy, and chemosensitivity.

Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.

Prognostic signatures of sphingolipids: Understanding the immune landscape and predictive role in immunotherapy response and outcomes of hepatocellular carcinoma.

A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients

A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients.

Mast cell marker gene signature: prognosis and immunotherapy response prediction in lung adenocarcinoma through integrated scRNA-seq and bulk RNA-seq.

Identification of peripheral blood immune infiltration signatures and construction of monocyte-associated signatures in ovarian cancer and Alzheimer's disease using single-cell sequencing.

A Hypoxia Molecular Signature-Based Prognostic Model for Endometrial Cancer Patients.

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer.

Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients.

Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis

Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis.

Identification of high-risk factors associated with mortality at 1-, 3-, and 5-year intervals in gastric cancer patients undergoing radical surgery and immunotherapy: an 8-year multicenter retrospective analysis.

The LncRNA signature associated with cuproptosis as a novel biomarker of prognosis in immunotherapy and drug screening for clear cell renal cell carcinoma