Personalized Precision Diagnosis and Treatment of Pancreatic Cancer

Pancreatic cancer (PC) is the 4th common cancer in the world and occupied the second place for digestive tumors, of which the incidence has also increased sharply in China. It harbors a particularly poor prognosis due to the late onset of symptoms and the advanced stage that the disease usually reaches before diagnosis. Therefore, searching more sensitive and accurate tumor markers has great value for application. Circulating tumor cell (CTC) is a noninvasive index that could help diagnosis and monitor the load of tumor, having excellent prospect for clinical application. Early in the formation and growth of a primary tumor (breast, colon, lung, or prostate cancer, et al.), CTC are released into blood. The published studies on CTCs have focused on their prognostic significance, utility in real-time monitoring of therapies, resistance targets and understanding the process of metastasis. Our main purpose is to use the platform to identify correlations between CTC counts and PC progression. Chemotherapy plays an important role in the postoperative treatment for PC. However, the efficiency of chemotherapeutic drugs for PC remains relatively limited. Patient-derived xenograft (PDX) preferably reproduce the clinical biological characteristics of PC, leading that we could deeply study the pathogenesis and metastasis of PC. Moreover, using PDX platform defines drug-resistant PC. From the present study, PDX and Mini-PDX platforms maintained architectural characteristics of the original PC specimen after continuous passaging, which could reflect the preclinical medicine study, better serving the clinical chemotherapy and improving the treatment efficiency. Conditional reprogramming (CR) technique adds no virus or cell oncogene to the non-genetic operation, which will not change any gene phenotype during normal growth and continuous passage of the cells in vitro. After a small sample of PC patient is obtained by CR, the project could enlarge the tumor samples from micro-bio