Company Filing History:
Years Active: 2025
Title: Hyeongi Kim: Innovator in Cancer Prognosis Research
Introduction
Hyeongi Kim is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of cancer research, particularly in understanding the effects of microplastics on cancer prognosis. His innovative work has the potential to impact the way cancer malignancy is predicted and treated.
Latest Patents
Hyeongi Kim holds a patent for a biomarker composition aimed at predicting cancer malignant prognosis induced by microplastic exposure. The invention focuses on a biomarker composition that utilizes specific gene expression levels, including CD44, E-cadherin, N-cadherin, PD-L1, NPAS2, NR1D1, DNMT1, SLC7A2, PCDH7, and CLDN7. These genes were found to be altered in cancer cell lines and animal models treated with polystyrene microspheres over a four-week period. The changes in gene expression led to increased proliferation, migration, and invasion of cancer cells, resulting in decreased overall survival rates in gastric cancer patients. This research highlights the potential of these genes as biomarkers for predicting cancer malignancies due to microplastic exposure.
Career Highlights
Hyeongi Kim is affiliated with the Korea Institute of Radiological and Medical Sciences, where he conducts his research. His work is at the forefront of addressing the health implications of environmental factors, particularly microplastics, on cancer prognosis. His innovative approach has garnered attention in the scientific community.
Collaborations
Hyeongi Kim collaborates with notable colleagues, including Jin Su Kim and Javeria Zaheer. These partnerships enhance the research efforts and contribute to the advancement of knowledge in the field of cancer research.
Conclusion
Hyeongi Kim's contributions to cancer prognosis research through his innovative patent on biomarker composition demonstrate the importance of understanding environmental impacts on health. His work is paving the way for new predictive methods in cancer treatment and prognosis.