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S-TRAC trial: Sensitivity analyses of disease-free survival (DFS).

Publication ,  Conference
George, DJ; Pantuck, AJ; Motzer, RJ; Ravaud, A; Escudier, B; Staehler, MD; Serfass, L; Krishnaswami, S; Casey, M; Lechuga, M; Koch, G; Figlin, RA
Published in: Journal of Clinical Oncology
February 20, 2018

633 Background: DFS has been frequently used as endpoint in the adjuvant setting and was the primary basis of approval for adjuvant cancer therapies. In S-TRAC, adjuvant sunitinib demonstrated a significant improvement of DFS vs. placebo in patients with locoregional renal cell carcinoma (RCC) based on blinded independent central review. DFS was defined as time from randomization until recurrence or death from any cause or second cancer. In the absence of a standard definition of DFS in RCC, multiple sensitivity analyses were performed to confirm the robustness of the DFS results from S-TRAC. Methods: Two analyses considered the time to recurrence including and excluding RCC specific deaths and contralateral kidney recurrence. Additional analyses used the same event and censoring rules as the primary analysis but considered earliest dates of relapse for equivocal new lesions later determined to be unequivocal -to align with RECIST 1.1 criteria for new lesions- and some alternative dates for secondary malignancies. Other sensitivity analyses evaluating alternative event and censoring rules as well as the imbalance in censoring in the first year in the primary analysis will also be presented. Results: The HR from select sensitivity analyses are presented in the Table. Conclusions: Results of sensitivity analyses with alternative definitions of DFS in S-TRAC demonstrated the robustness of the primary DFS analysis, with consistent HRs (0.76-0.81) favoring sunitinib. Clinical trial information: NCT00375674. [Table: see text]

Duke Scholars

Published In

Journal of Clinical Oncology

DOI

EISSN

1527-7755

ISSN

0732-183X

Publication Date

February 20, 2018

Volume

36

Issue

6_suppl

Start / End Page

633 / 633

Publisher

American Society of Clinical Oncology (ASCO)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
George, D. J., Pantuck, A. J., Motzer, R. J., Ravaud, A., Escudier, B., Staehler, M. D., … Figlin, R. A. (2018). S-TRAC trial: Sensitivity analyses of disease-free survival (DFS). In Journal of Clinical Oncology (Vol. 36, pp. 633–633). American Society of Clinical Oncology (ASCO). https://doi.org/10.1200/jco.2018.36.6_suppl.633
George, Daniel J., Allan J. Pantuck, Robert J. Motzer, Alain Ravaud, Bernard Escudier, Michael D. Staehler, Lucile Serfass, et al. “S-TRAC trial: Sensitivity analyses of disease-free survival (DFS).” In Journal of Clinical Oncology, 36:633–633. American Society of Clinical Oncology (ASCO), 2018. https://doi.org/10.1200/jco.2018.36.6_suppl.633.
George DJ, Pantuck AJ, Motzer RJ, Ravaud A, Escudier B, Staehler MD, et al. S-TRAC trial: Sensitivity analyses of disease-free survival (DFS). In: Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO); 2018. p. 633–633.
George, Daniel J., et al. “S-TRAC trial: Sensitivity analyses of disease-free survival (DFS).Journal of Clinical Oncology, vol. 36, no. 6_suppl, American Society of Clinical Oncology (ASCO), 2018, pp. 633–633. Crossref, doi:10.1200/jco.2018.36.6_suppl.633.
George DJ, Pantuck AJ, Motzer RJ, Ravaud A, Escudier B, Staehler MD, Serfass L, Krishnaswami S, Casey M, Lechuga M, Koch G, Figlin RA. S-TRAC trial: Sensitivity analyses of disease-free survival (DFS). Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO); 2018. p. 633–633.

Published In

Journal of Clinical Oncology

DOI

EISSN

1527-7755

ISSN

0732-183X

Publication Date

February 20, 2018

Volume

36

Issue

6_suppl

Start / End Page

633 / 633

Publisher

American Society of Clinical Oncology (ASCO)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences