Baseline serum albumin is a predictive biomarker for patients with advanced pancreatic cancer treated with bevacizumab: a pooled analysis of 7 prospective trials of gemcitabine-based therapy with or without bevacizumab.

作者: Shubham Pant , Ludmila K. Martin , Susan Geyer , Lai Wei , Katherine Van Loon

DOI: 10.1002/CNCR.28648

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摘要: BACKGROUND Phase 3 studies of bevacizumab in patients with advanced pancreatic cancer (APCA) demonstrated no improvement outcome. To the authors' knowledge, validated predictive biomarkers for exist, although emerging data suggest that subsets APCA may benefit from treatment bevacizumab. The authors evaluated baseline serum albumin (b-alb) as a biomarker pooled analysis 7 prospective clinical trials gemcitabine-based therapy or without bevacizumab. METHODS Data were collected individual databases trials. Patients grouped by exposure to and b-alb level (≥ 3.4 g/L or < 3.4 g/dL). Overall survival (OS), time disease progression (TTP), overall response rate, control rate (overall plus stable lasting ≥ 16 weeks) compared between groups. Univariate multivariable analyses prognostic factors performed. RESULTS A total 264 included. median age was 59 years (range, 31 years-85 years) all had stage IV per TNM staging. Normal associated significantly improved OS (10.2 months vs 4.1 months; P = .0001), TTP (6.2 3.7 P = 0.0488), (71% 46%; P = .007) receiving bevacizumab, but not those treated Multivariable revealed significant influence normal on (P = .0008) (P = .033). CONCLUSIONS Patients derive Future investigations should consider selecting maximize potential benefit. Cancer 2014;120:1780–1786. © 2014 American Society.

参考文章(27)
Terry M. Therneau, Patricia M. Grambsch, Modeling Survival Data: Extending the Cox Model ,(2000)
PATRICIA M. GRAMBSCH, TERRY M. THERNEAU, Proportional hazards tests and diagnostics based on weighted residuals Biometrika. ,vol. 81, pp. 515- 526 ,(1994) , 10.1093/BIOMET/81.3.515
Stanley Lemeshow, David W. Hosmer, Applied Logistic Regression ,(1989)
M Javle, J Yu, C Garrett, A Pande, B Kuvshinoff, A Litwin, J Phelan, J Gibbs, R Iyer, Bevacizumab combined with gemcitabine and capecitabine for advanced pancreatic cancer: a phase II study. British Journal of Cancer. ,vol. 100, pp. 1842- 1845 ,(2009) , 10.1038/SJ.BJC.6605099
E. L. Kaplan, Paul Meier, Nonparametric Estimation from Incomplete Observations Springer Series in Statistics. ,vol. 53, pp. 319- 337 ,(1992) , 10.1007/978-1-4612-4380-9_25
Peter Büchler, Howard A Reber, Axel Ullrich, Mark Shiroiki, Mendel Roth, Markus W Büchler, Robert S Lavey, Helmut Friess, Oscar J Hines, Pancreatic cancer growth is inhibited by blockade of VEGF-RII. Surgery. ,vol. 134, pp. 772- 782 ,(2003) , 10.1016/S0039-6060(03)00296-4
Andrew H. Ko, Anne M. Espinoza, Kimberly A. Jones, Alan P. Venook, Emily K. Bergsland, Robin K. Kelley, Elizabeth Dito, Anna Ong, Cherry S. Hanover, Fergus V. Coakley, Margaret A. Tempero, Optimizing the Administration of Fixed-Dose Rate Gemcitabine Plus Capecitabine Using an Alternating-week Schedule American Journal of Clinical Oncology. ,vol. 35, pp. 411- 417 ,(2012) , 10.1097/COC.0B013E3182185888
Marisa E. Hill, Xiaobai Li, Sharon Kim, Angela Campbell, Kristy Culler, Mark Bloomston, Mark Zalupski, Gwen Hejna, Tanios Bekaii-Saab, A phase I study of the biomodulation of capecitabine by docetaxel and gemcitabine (mGTX) in previously untreated patients with metastatic adenocarcinoma of the pancreas Cancer Chemotherapy and Pharmacology. ,vol. 67, pp. 511- 517 ,(2011) , 10.1007/S00280-010-1348-3
DAVID P. HARRINGTON, THOMAS R. FLEMING, A class of rank test procedures for censored survival data Biometrika. ,vol. 69, pp. 553- 566 ,(1982) , 10.1093/BIOMET/69.3.553