Investigators

Summary

I am doing cancer research related to molecular biology, genetics, data mining with bioinformatics and immunology. According to immune relationship with cancers, there are hot tumors and cold tumors including immune cells exclusion and immune cell deserts to influence the progress of cancer patients, the "hot" tumors with immune infiltration has more chance for the carriers to get complete response to ICI therapy and chemotherapy. Our T cell migration test followed by flowcytometry showed the TNBC (Triple negative breast cancer) which has gene fusions of BCL2L14ETV6 has more resistant to T cells migration (especially CD8) through different cytokine/chemokine "talk" with T cells. The preliminary data also shows BCL2L14-ETV6 fusions orchestrate immunosuppressive and protumor cytokines contexture and impair immune cell infiltration. In addition, it modulates the target genes of NFkb, a central mediator of inflammation, endows epithelial mesenchymal transition, confers paclitaxel resistance. 

In addition, Low-cost multi-omics sequencing is expected to become clinical routine and transform precision oncology. Viable computational methods that can facilitate tailored intervention while tolerating sequencing biases are in high demand. Here we propose a class of transparent and interpretable computational methods called integral genomic signature (iGenSig) analyses, that address the challenges of cross-dataset modeling through leveraging information redundancies within high-dimensional genomic features, averaging feature weights to prevent overweighing, and extracting unbiased genomic information from large tumor cohorts.we develop a battery of iGenSig models for predicting cancer drug responses, and validate the models using independent cell-line and clinical datasets. The iGenSig models for five drugs demonstrate predictive values in six clinical studies, among which the Erlotinib and 5-FU models significantly predict therapeutic responses in three studies, offering clinically relevant insights into their inverse predictive signature pathways. Together, iGenSig provides a computational framework to facilitate tailored cancer therapy based on multi-omics data. (Nature Communication 2022)

In addition, I am culturing different kinds of T cells and look into potential T cell therapies for cancers in the future. I did T cell repertoire analysis on PBMC from pancreatic cancer patients, which showed the more versatile of T cell repertoire system the better potential response rate from chemotherapy and other therapies. Also, I got some certifications from Lifestyle Medicine which includes 6 pillars of nutrition science, exercise physiology, sleep science, stress management, positive psychology, removal dictation, which can demonstrate to have the potential to reverse some chronic diseases.