Development of Biomarker for the Evaluation of Response After Neoadjuvant Therapy in Patients With Pancreatic Cancer

BACKGROUND

• Pancreatic cancer is a rare cancer of the digestive system, but it is known to have a poor prognosis with a very poor survival rate. Five-year survival rate of all patients with pancreatic cancer is less than 6%, and only 10-20% of patients are eligible for surgery at the time of diagnosis.
• Postoperative complications of pancreatic cancer are reported in 30-50% of cases, and only 50% of patients undergoing postoperative chemotherapy at the appropriate time after surgery are reported. As a result of these concerns, the study of neoadjuvant chemotherapy (NACT) was begun. Recently, several clinical studies of chemotherapy have been performed. Cancer (BRPC), locally advanced pancreatic cancer (LAPC) patients who have had difficult surgical resection, are turning to treatment by combining surgical treatment after NACT.
• Although standard treatments for advanced chemotherapy have yet to be established through many clinical studies, the most commonly used regimens are FOLFIRINOX (fluorouracil, leucovorin, irinotecan, and oxaliplatin), gemcitabine and nab-paclitaxel. The response rate after prior chemotherapy is known as 30-50%, and the response of patients undergoing surgery after prior chemotherapy was compared with the serum markers before and after chemotherapy through CA19-9, PET-CT, and CT. The response could be estimated by the reduction, the size change in the imaging test, or the decrease in SUVmax. However, there are only a few studies on genetic and molecular studies of which patients will respond. Under these circumstances, this study on the discovery of biomarkers for the response of advanced chemotherapy in patients with pancreatic cancer may provide guidelines for the application of advanced chemotherapy and the selection of appropriate drugs, as well as clues for future research.

Primary endpoint:

-Discovery of genetic mutation in response to NACT

METHODOLOGY Recruitment and sample collection of patients undergoing NACT Identifying pancreatic cancer specific candidate genes in response to NACT