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A prognostic model to predict clinical outcomes with first-line gemcitabine-based chemotherapy in advanced pancreatic cancer.

AbstractOBJECTIVE:
Our aim was to devise a prognostic model for advanced pancreatic cancer based on clinical parameters.
METHODS:
We retrospectively analyzed the medical records of 298 patients who received gemcitabine-based chemotherapy from January 1999 to November 2008.
RESULTS:
The median survival of all patients was 7 months [95% confidence interval (CI) 6.2-7.8]. Multivariate analysis revealed poor prognostic factors for overall survival such as the presence of liver metastasis [p < 0.001, hazard ratio (HR) 2.628, 95% CI 1.620-4.264], the presence of ascites or peritoneal carcinomatosis (p = 0.005, HR 1.783, 95% CI 1.194-2.661), serum C-reactive protein levels >1.2 mg/dl (p = 0.021, HR 1.568, 95% CI 1.070-2.300), and serum albumin levels <3.5 g/dl (p = 0.021, HR 1.701, 95% CI 1.085-2.667). Of 298 patients, 168 patients (56.4%) were categorized as low-risk with 0 or 1 risk factor, 80 patients (26.8%) were categorized as intermediate-risk with 2 risk factors, and 50 patients (16.8%) were categorized as high-risk with 3 or 4 risk factors. The median survival duration for the low-, intermediate-, and high-risk groups was 10.0 months (95% CI 8.7-11.3), 6.7 months (95% CI 5.7-7.7), and 4.4 months (95% CI 3.2-5.6), respectively.
CONCLUSIONS:
This prognostic model could help to select treatment for patients in clinical practice, and these risk-adapted treatment strategies should be further investigated in prospective studies in such patient populations.
AuthorsJun Ho Yi, Jeeyun Lee, Se Hoon Park, Kyu Taek Lee, Jong Kyun Lee, Kwang Hyuck Lee, Dong Wook Choi, Seong-Ho Choi, Jin-Seok Heo, Do Hoon Lim, Young Suk Park, Ho Yeong Lim, Won Ki Kang, Keunchil Park, Joon Oh Park
JournalOncology (Oncology) Vol. 80 Issue 3-4 Pg. 175-80 ( 2011) ISSN: 1423-0232 [Electronic] Switzerland
PMID21701231 (Publication Type: Journal Article)
CopyrightCopyright © 2011 S. Karger AG, Basel.
Chemical References
  • Antimetabolites, Antineoplastic
  • Biomarkers, Tumor
  • Serum Albumin
  • Deoxycytidine
  • C-Reactive Protein
  • Gemcitabine
Topics
  • Adult
  • Aged
  • Aged, 80 and over
  • Antimetabolites, Antineoplastic (therapeutic use)
  • Ascites
  • Biomarkers, Tumor (blood)
  • C-Reactive Protein (metabolism)
  • Deoxycytidine (analogs & derivatives, therapeutic use)
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Liver Neoplasms (secondary)
  • Male
  • Middle Aged
  • Pancreatic Neoplasms (blood, drug therapy, mortality, pathology)
  • Prognosis
  • Proportional Hazards Models
  • ROC Curve
  • Retrospective Studies
  • Risk Factors
  • Serum Albumin (metabolism)
  • Survival Rate
  • Treatment Outcome
  • Gemcitabine

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