J Gastric Cancer.  2017 Jun;17(2):132-144. 10.5230/jgc.2017.17.e16.

Prognostic Factor Analysis of Overall Survival in Gastric Cancer from Two Phase III Studies of Second-line Ramucirumab (REGARD and RAINBOW) Using Pooled Patient Data

Affiliations
  • 1Dana-Farber Cancer Institute, Boston, MA, USA. charles.fuchs@yale.edu
  • 2Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.
  • 3Masaryk Memorial Cancer Institute, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
  • 4University Hospital Gasthuisberg Leuven and KU Leuven, Leuven, Belgium.
  • 5Gangnam Severance Hospital, Seoul, Korea.
  • 6Korea University Guro Hospital, Seoul, Korea.
  • 7Oncology Research Group, Brown University, Providence, RI, USA.
  • 8Szent László Hospital, Budapest, Hungary.
  • 9Royal Marsden Hospital, London and Surrey, United Kingdom.
  • 10Gastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
  • 11Institute of Clinical Research, Universitären Centrum für Tumorerkrankungen-University Cancer Center, Frankfurt, Germany.
  • 12Istituti Ospitalieri di Cremona, Cremona, Italy.
  • 13Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
  • 14Lilly Deutschland GmbH, Bad Homburg, Germany.
  • 15Eli Lilly and Company, Bridgewater, NJ, USA.
  • 16Eli Lilly and Company, Indianapolis, IN, USA.
  • 17Departments of Oncology and Hematology with Integrated Palliative Care, Kliniken Essen-Mitte, Essen, Germany.

Abstract

PURPOSE
To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer.
MATERIALS AND METHODS
We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters.
RESULTS
Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor.
CONCLUSIONS
The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.

Keyword

Prognosis; Stomach neoplasms; Gastroesophageal junction; Survival

MeSH Terms

Adenocarcinoma
Alkaline Phosphatase
Appetite
Aspartate Aminotransferases
Clinical Decision-Making
Disease Progression
Double-Blind Method
Drug Therapy
Esophagogastric Junction
Factor Analysis, Statistical*
Humans
L-Lactate Dehydrogenase
Lymphocytes
Mass Screening
Neoplasm Metastasis
Neutrophils
Prognosis
Proportional Hazards Models
Quality of Life
Sodium
Stomach Neoplasms*
Alkaline Phosphatase
Aspartate Aminotransferases
L-Lactate Dehydrogenase
Sodium

Figure

  • Fig. 1 Histogram of prognostic scores among the 953 patients. The distribution approximates a Gaussian distribution.

  • Fig. 2 The Kaplan-Meier curves showing OS for each of the 4 risk groups determined by the prognostic factors. The median survival and the patients at risk for each of these groups are also presented. OS = overall survival.


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