The present application relates to the field of
cancer cell identification, and particularly relates to a method and
system for identifying different types of
cancer cells of a
renal pelvis cancer patient based on
urine, the method comprising: collecting a
urine sample, obtaining a detection sample by using the
urine sample; sequencing the detection sample to obtain a
cell expression profile of the detection sample; obtaining
cell expression profile data of a mixed urothelial cell subpopulation by using the cell expression profile, the mixed urothelial cell subpopulation comprising normal urothelial cells and cancerous urothelial cells; extracting different proto-
oncogene expression data from the cell expression profile data of the mixed urothelial cell subpopulation; analyzing the different proto-
oncogene expression data to obtain a
cancer cell ratio and identify different types of cancer cells. The
present method quickly and accurately obtains different types of cancerous urothelial cells through non-invasive examination and proto-
oncogene expression profile data, and provides a reference and basis for preoperative neoadjuvant therapy of
renal pelvis cancer.