Predictors of systemic chemotherapy contraindication in pancreatic cancer patients with distant metastasis

Hepatogastroenterology. 2007 Jan-Feb;54(73):254-9.

Abstract

Background/aims: To investigate predictors of systemic chemotherapy contraindication in pancreatic cancer patients with distant metastasis.

Methodology: Eighty-seven consecutive pancreatic cancer patients with distant metastasis receiving systemic chemotherapy using 5-fluorouracil, cisplatin or gemcitabine were analyzed retrospectively to investigate prognostic factors.

Results: The overall median survival time of all patients in the whole series was 3.8 months, the 3-, 6, and 12-month probability of survival being 58%, 26%, and 3%, respectively. Significant poor prognostic factors were the age of 65 years old or older, presence of ascites, a total bilirubin > 2.5 mg/dL, ChE <110 IU/L, a higher level of tumor maker (CA19-9) and performance status <80 (p < 0.005). Cox proportional hazards model revealed independent poor prognostic factors were a presence of ascites, serum ChE level <110 IU/L, and age > or =65. A prognostic index was calculated based on the regression coefficients derived from the three variables according to their relative risk of death (RRD) = exp (presence of ascites x 1.213 + serum ChE level x 1.065 + age > or = 65 x 0.651).

Conclusions: Ascites, ChE <110 IU/L, or age > or =65 should be chemotherapy contraindications for pancreatic cancer patients with distant metastasis because of their extremely short survival time and some other experimental approaches or supportive care are needed.

MeSH terms

  • Adenocarcinoma / blood
  • Adenocarcinoma / drug therapy*
  • Adenocarcinoma / epidemiology
  • Adenocarcinoma / pathology*
  • Contraindications
  • Drug Therapy
  • Female
  • Humans
  • Karnofsky Performance Status
  • Male
  • Middle Aged
  • Pancreatic Neoplasms / blood
  • Pancreatic Neoplasms / drug therapy*
  • Pancreatic Neoplasms / epidemiology
  • Pancreatic Neoplasms / pathology*
  • Prognosis
  • Retrospective Studies
  • Survival Analysis