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A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy.

Publication ,  Journal Article
Previs, RA; Bevis, KS; Huh, W; Tillmanns, T; Perry, L; Moore, K; Chapman, J; McClung, C; Kiet, T; Java, J; Chan, J; Secord, AA
Published in: Gynecol Oncol
March 2014

OBJECTIVE: To develop a nomogram to predict overall survival (OS) in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. METHODS: A multicenter retrospective study was conducted. Potential prognostic variables included age; stage; grade; histology; performance status; residual disease; presence of ascites and/or pleural effusions; number of chemotherapy regimens, treatment-free interval (TFI) prior to bevacizumab administration, and platinum sensitivity. Multivariate analysis was performed using Cox proportional hazards regression. The predictive model was developed into a nomogram to predict five-year OS. RESULTS: 312 women with recurrent ovarian cancer treated with bevacizumab and chemotherapy were identified; median age was 59 (range: 19-85); 86% women had advanced stage (III-IV) disease. The majority had serous histology (74%), high grade cancers (93.5%), and optimal cytoreductions (69.5%). Fifty-one percent of women received greater than two prior chemotherapeutic regimens. TFI (AHR=0.98, 95% CI 0.97-1.00, p=0.022) was the only statistically significant predictor in a multivariate progression-free survival (PFS) analysis. In a multivariate OS analysis, prior number of chemotherapy regimens, TFI, platinum sensitivity, and presence of ascites were significant. A nomogram to predict five-year OS was constructed and internally validated (bootstrap-corrected concordance index=0.737). CONCLUSION: Our multivariate model identified prior number of chemotherapy regimens, TFI, platinum sensitivity, and the presence of ascites as prognostic variables for OS in women with recurrent ovarian cancer treated with bevacizumab combined with chemotherapy. Our nomogram to predict five-year OS may be used to identify women who may benefit from bevacizumab and chemotherapy, but further validation is needed.

Duke Scholars

Published In

Gynecol Oncol

DOI

EISSN

1095-6859

Publication Date

March 2014

Volume

132

Issue

3

Start / End Page

531 / 536

Location

United States

Related Subject Headings

  • Young Adult
  • Survival Analysis
  • Retrospective Studies
  • Proportional Hazards Models
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Nomograms
  • Neoplasms, Glandular and Epithelial
  • Neoplasm Recurrence, Local
  • Middle Aged
 

Citation

APA
Chicago
ICMJE
MLA
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Previs, R. A., Bevis, K. S., Huh, W., Tillmanns, T., Perry, L., Moore, K., … Secord, A. A. (2014). A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. Gynecol Oncol, 132(3), 531–536. https://doi.org/10.1016/j.ygyno.2014.01.036
Previs, R. A., K. S. Bevis, W. Huh, T. Tillmanns, L. Perry, K. Moore, J. Chapman, et al. “A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy.Gynecol Oncol 132, no. 3 (March 2014): 531–36. https://doi.org/10.1016/j.ygyno.2014.01.036.
Previs RA, Bevis KS, Huh W, Tillmanns T, Perry L, Moore K, et al. A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. Gynecol Oncol. 2014 Mar;132(3):531–6.
Previs, R. A., et al. “A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy.Gynecol Oncol, vol. 132, no. 3, Mar. 2014, pp. 531–36. Pubmed, doi:10.1016/j.ygyno.2014.01.036.
Previs RA, Bevis KS, Huh W, Tillmanns T, Perry L, Moore K, Chapman J, McClung C, Kiet T, Java J, Chan J, Secord AA. A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. Gynecol Oncol. 2014 Mar;132(3):531–536.
Journal cover image

Published In

Gynecol Oncol

DOI

EISSN

1095-6859

Publication Date

March 2014

Volume

132

Issue

3

Start / End Page

531 / 536

Location

United States

Related Subject Headings

  • Young Adult
  • Survival Analysis
  • Retrospective Studies
  • Proportional Hazards Models
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Nomograms
  • Neoplasms, Glandular and Epithelial
  • Neoplasm Recurrence, Local
  • Middle Aged