Min-Yi LV

Min-Yi LV

Research Student

Sun Yat-sen University



Dr. Min-Yi LV is a master student of Surgery. She is co-supervised by Prof. Xiaosheng HE at the Sixth Affiliated Hospital of Sun Yat-sen University. Her major research interest is the early screening of colorectal cancer.

Interests

  • Colorectal Cancer
  • Biostatistics

Education

  • Doctor of Medicine in Surgery, 2024 - now

    Sun Yat-sen University

  • Master of Medicine in Surgery, 2020 - 2023

    Sun Yat-sen University

  • Bachelor of Medicine in Clinical Medicine, 2014 - 2020

    Guangdong Medical University

Publications

Deciphering Tertiary Lymphoid Structure Heterogeneity Reveals Prognostic Signature and Therapeutic Potentials for Colorectal Cancer: A Multicenter Retrospective Cohort Study
The landscape of objective response rate of anti-PD-1/L1 monotherapy across 31 types of cancer: a system review and novel biomarker investigating
Immunological profiling of human colorectal cancer defines four distinct molecular subtypes
Senescence-Based Colorectal Cancer Subtyping Reveals Distinct Molecular Characteristics and Therapeutic Strategies
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer
Cancer-associated fibroblasts impact the clinical outcome and treatment response in colorectal cancer via immune system modulation: a comprehensive genome-wide analysis
Genome-Wide analysis reveals hypoxic microenvironment is associated with immunosuppression in poor survival of stage II/III colorectal cancer patients
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer