Safety and Feasibility of Neoadjuvant-Modified FOLFIRINOX in Elderly Patients with Pancreatic Cancer.
Yoshitaro ShindoTatsuya IokaYukio TokumitsuHiroto MatsuiMasao NakajimaYuta KimuraYusaku WatanabeShinobu TomochikaYuki NakagamiRyouichi TsunedomiMichihisa IidaHidenori TakahashiHiroaki NaganoPublished in: Cancers (2024)
The optimal treatment strategy for neoadjuvant chemotherapy in elderly patients with pancreatic cancer (PC) remains unclear. Hence, this study was aimed at evaluating the safety and feasibility of neoadjuvant-modified FOLFIRINOX (mFOLFIRINOX) in elderly patients with PC. We retrospectively collected data from 62 patients who received neoadjuvant mFOLFIRINOX between May 2015 and October 2023 and comparatively analyzed the clinicopathological data and outcomes between the non-elderly group (age: <75 years) and elderly group (age: >75 years). The non-elderly and elderly groups comprised 39 and 23 patients, respectively. Although elevated levels of aspartate aminotransferase ( p = 0.0173) and alanine aminotransferase ( p = 0.0378) and nausea ( p = 0.0177) were more frequent in the elderly group, the incidence of severe adverse events was similar between the groups. Intergroup differences in resection rate ( p = 0.3381), postoperative severe complication rates ( p = 0.2450), and postoperative hospital stay ( p = 0.3496) were not significant. Furthermore, no significant intergroup differences were found in survival in either the whole or the resection cohorts. The perioperative and postoperative outcomes of elderly patients treated with neoadjuvant mFOLFIRINOX were comparable with those of non-elderly patients. Neoadjuvant mFOLFIRINOX should be considered a feasible option for elderly patients with PC.
Keyphrases
- middle aged
- locally advanced
- community dwelling
- rectal cancer
- neoadjuvant chemotherapy
- lymph node
- patients undergoing
- radiation therapy
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- electronic health record
- type diabetes
- cardiac surgery
- big data
- early stage
- artificial intelligence
- weight loss
- insulin resistance
- patient reported
- glycemic control