Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include RNA modifications and cancer, MicroRNA in disease regulation, BRCA gene mutations in cancer, and Cancer Genomics and Diagnostics.
A novel radio-immunotherapy strategy: Gut microbiota metabolite combined with radioactive hydrogel for the treatment of low rectal cancer
The DASH diet in diabetes related complications or comorbidities: an unexpected friend
Effect of miR-6767-5p on breast cancer cell phenotype and its regulatory mechanism.
The impact and mechanisms of CRIP2 on the biological behavior of triple-negative breast cancer cells.
The features of male breast cancer in China: A real-world study
Global trends and forecasts of breast cancer incidence and deaths.
Edible Insects: A New Sustainable Nutritional Resource Worth Promoting
FGFR families: biological functions and therapeutic interventions in tumors.
Macrophage mitochondrial fission improves cancer cell phagocytosis induced by therapeutic antibodies and is impaired by glutamine competition
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
FOXO3 mutation predicting gefitinib-induced hepatotoxicity in NSCLC patients through regulation of autophagy
Additional file 3 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 8 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 12 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 16 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 22 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 11 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Additional file 18 of DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data
Serum-Derived Exosomal Proteins as Potential Candidate Biomarkers for Hepatocellular Carcinoma
VPS33B modulates c-Myc/p53/miR-192-3p to target CCNB1 suppressing the growth of non-small cell lung cancer.
NAP1L1 Functions as a Tumor Promoter <i>via</i> Recruiting Hepatoma-Derived Growth Factor/c-Jun Signal in Hepatocellular Carcinoma.
NAP1L1 interacts with hepatoma-derived growth factor to recruit c-Jun inducing breast cancer growth.
Identification and characterization of a novel circular bacteriocin, bacicyclicin XIN-1, from Bacillus sp. Xin1
SPEN induces miR-4652-3p to target HIPK2 in nasopharyngeal carcinoma.
MAP2K4 interacts with Vimentin to activate the PI3K/AKT pathway and promotes breast cancer pathogenesis.
Identification of a highly specific <scp>DNA</scp> aptamer for <i>Vibrio vulnificus</i> using systematic evolution of ligands by exponential enrichment coupled with asymmetric <scp>PCR</scp>
Targeting YAP in malignant pleural mesothelioma
DPMIND: degradome-based plant miRNA–target interaction and network database
YAP promotes erlotinib resistance in human non-small cell lung cancer cells
YAP1 regulates ABCG2 and cancer cell side population in human lung cancer cells