Prognostic factors and prognostic index for chemonaïve and gemcitabine-refractory patients with advanced pancreatic cancer

Oncology. 2007;73(1-2):41-51. doi: 10.1159/000120627. Epub 2008 Mar 11.

Abstract

Background: Gemcitabine monotherapy is the cornerstone of the treatment of patients suffering from advanced pancreatic cancer (PC). For a few years, new chemotherapeutic agents and combinations have been under validation. The use of such treatment makes it necessary to determine factors that could predict survival time.

Patients and methods: To identify factors that predict survival time in chemonaïve patients with advanced PC and after gemcitabine failure, a retrospective analysis was performed on patients with advanced PC coming from phase II and III studies and treated with gemcitabine-based first-line chemotherapy.

Results: Ninety-nine patients (median age 66 years, range 27-87) suffering from pathologically proven unresectable or metastatic adenocarcinoma of the pancreas were reviewed. Median overall survival time for the whole population was 251 days and progression-free survival in first- and second-line treatment was 108 and 67 days, respectively. The Cox regression analysis identified aspartate transaminase >53 IU/l, weight loss > or =10% and Karnofsky performance status <90 as significant independent negative prognostic factors in first-line and CA 19-9 >400 IU/ml and albumin < or =3.5 mg/dl in second-line chemotherapy. A prognostic index was calculated from the regression coefficients for each independent prognostic factor and used to classify the patients in 3 different groups with good, intermediate and poor prognosis. The prognosis index in chemonaïve and gemcitabine-refractory patients was (Karnofsky performance status x 0.52) + (weight loss x 1.10) + (aspartate transaminase x 0.82) and (albumin x 1.40) + (CA 19-9 x 0.74), respectively.

Conclusions: Predictive factors could be identified in first- and second-line treatments, although they require prospective validation before they could be used in the design and analysis of future clinical trials.

MeSH terms

  • Actuarial Analysis
  • Adenocarcinoma / drug therapy*
  • Adenocarcinoma / secondary
  • Adult
  • Aged
  • Aged, 80 and over
  • Albumins / metabolism
  • Antimetabolites, Antineoplastic / therapeutic use*
  • Aspartate Aminotransferases / blood
  • Biomarkers, Tumor / blood*
  • CA-19-9 Antigen / blood
  • Deoxycytidine / analogs & derivatives*
  • Deoxycytidine / therapeutic use
  • Disease-Free Survival
  • Drug Resistance, Neoplasm
  • Female
  • Gemcitabine
  • Humans
  • Karnofsky Performance Status*
  • Male
  • Middle Aged
  • Pancreatic Neoplasms / drug therapy*
  • Pancreatic Neoplasms / pathology
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies
  • Survival Analysis
  • Weight Loss*

Substances

  • Albumins
  • Antimetabolites, Antineoplastic
  • Biomarkers, Tumor
  • CA-19-9 Antigen
  • Deoxycytidine
  • Aspartate Aminotransferases
  • Gemcitabine