Disease-free survival as a predictor of overall survival in localized renal cell carcinoma following initial nephrectomy: A retrospective analysis of Surveillance, Epidemiology and End Results-Medicare datac.


Journal

International journal of urology : official journal of the Japanese Urological Association
ISSN: 1442-2042
Titre abrégé: Int J Urol
Pays: Australia
ID NLM: 9440237

Informations de publication

Date de publication:
03 2023
Historique:
received: 22 03 2022
accepted: 10 11 2022
pubmed: 16 2 2023
medline: 8 3 2023
entrez: 15 2 2023
Statut: ppublish

Résumé

This study aimed to assess whether disease-free survival (DFS) may serve as a predictor for long-term survival among patients with intermediate-high risk or high risk renal cell carcinoma (RCC) post-nephrectomy when overall survival (OS) is unavailable. The Surveillance, Epidemiology and End Results-Medicare database (2007-2016) was used to identify patients with non-metastatic intermediate-high risk and high risk RCC post-nephrectomy. Landmark analysis and Kendall's τ were used to evaluate the correlation between DFS and OS. Multivariable regression models were used to quantify the incremental OS post-nephrectomy associated with increased time to recurrence among patients with recurrence, adjusting for baseline covariates. A total of 643 patients were analyzed; mean age of 75 years; >95% of patients had intermediate-high risk RCC at diagnosis; 269 patients had recurrence post-nephrectomy. For patients with versus without recurrence at the landmark points of 1, 3, and 5 years post-nephrectomy, the 5-year OS were 37.0% versus 70.1%, 42.3% versus 72.8%, and 53.2% versus 78.6%, respectively. The Kendall's τ between DFS and OS post-nephrectomy was 0.70 (95% CI: 0.65, 0.74; p < 0.001). After adjusting for baseline covariates, patients with one additional year of time to recurrence were associated with 0.73 years longer OS post-nephrectomy (95% CI: 0.40, 1.05; p < 0.001). The significant positive association of DFS and OS among patients with intermediate-high risk and high risk RCC post-nephrectomy from this study supports the use of DFS as a potential predictor of OS for these patients when OS data are immature.

Identifiants

pubmed: 36788716
doi: 10.1111/iju.15104
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

272-279

Subventions

Organisme : Merck Sharp and Dohme

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 Merck Sharp & Dohme LLC and The Authors. International Journal of Urology published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Urological Association.

Références

American Cancer Society. Survival rates for kidney cancer [Internet]. 2021. Available from: https://www.cancer.org/cancer/kidney-cancer/detection-diagnosis-staging/survival-rates.html. Accessed 6 May 2021.
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7-30.
Delahunt B, Eble JN, Egevad L, Samaratunga H. Grading of renal cell carcinoma. Histopathology. 2019;74:4-17.
van der Mijn JC, Al Hussein Al Awamlh B, Islam Khan A, Posada-Calderon L, Oromendia C, Fainberg J, et al. Validation of risk factors for recurrence of renal cell carcinoma: results from a large single-institution series. PLoS One. 2019;14:e0226285.
Hutson TE. Renal cell carcinoma: Diagnosis and treatment, 1994-2003. Proc Bayl Univ Med Cent. 2005;18:337-40.
Fiori E, De Cesare A, Galati G, Bononi M, D'Andrea N, Barbarosos A, et al. Prognostic significance of primary-tumor extension, stage and grade of nuclear differentiation in patients with renal cell carcinoma. J Exp Clin Cancer Res. 2002;21:229-32.
Stuhler V, Maas JM, Rausch S, Stenzl A, Bedke J. Immune checkpoint inhibition for the treatment of renal cell carcinoma. Expert Opin Biol Ther. 2020;20:83-94.
Lavacchi D, Pellegrini E, Palmieri VE, Doni L, Mela MM, di Maida F, et al. Immune checkpoint inhibitors in the treatment of renal cancer: current state and future perspective. Int J Mol Sci. 2020;21:4691.
Haas NB, Manola J, Uzzo RG, Flaherty KT, Wood CG, Kane C, et al. Adjuvant sunitinib or sorafenib for high-risk, non-metastatic renal-cell carcinoma (ECOG-ACRIN E2805): a double-blind, placebo-controlled, randomised, phase 3 trial. Lancet. 2016;387:2008-16.
Ravaud A, Motzer RJ, Pandha HS, George DJ, Pantuck AJ, Patel A, et al. Adjuvant sunitinib in high-risk renal-cell carcinoma after nephrectomy. N Engl J Med. 2016;375:2246-54.
Motzer RJ, Russo P, Haas N, Doehn C, Donskov F, Gross-Goupil M, et al. Adjuvant pazopanib versus placebo after nephrectomy in patients with localized or locally advanced renal cell carcinoma: final overall survival analysis of the phase 3 PROTECT trial. Eur Urol. 2021;79:334-8.
Gross-Goupil M, Kwon TG, Eto M, Ye D, Miyake H, Seo SI, et al. Axitinib versus placebo as an adjuvant treatment of renal cell carcinoma: results from the phase III, randomized ATLAS trial. Ann Oncol. 2018;29:2371-8.
Martinez Chanza N, Tripathi A, Harshman LC. Adjuvant therapy options in renal cell carcinoma: where do we stand? Curr Treat Options Oncol. 2019;20:44.
Harshman LC, Xie W, Moreira RB, Bossé D, Ruiz Ares GJ, Sweeney CJ, et al. Evaluation of disease-free survival as an intermediate metric of overall survival in patients with localized renal cell carcinoma: a trial-level meta-analysis. Cancer. 2018;124:925-33.
U.S. Food and Drug Administration. FDA approves sunitinib malate for adjuvant treatment of renal cell carcinoma [Internet]. Available from: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-sunitinib-malate-adjuvant-treatment-renal-cell-carcinoma. Accessed 1 Jun 2021.
U.S. Food and Drug Administration. Clinical trial endpoints for the approval of cancer drugs and biologics-guidance for industry [Internet]. Available from: https://www.fda.gov/media/71195/download. Accessed 1 Jun 2021.
Downing NS, Aminawung JA, Shah ND, Krumholz HM, Ross JS. Clinical trial evidence supporting FDA approval of novel therapeutic agents, 2005-2012. JAMA. 2014;311:368-77.
Clement FM, Harris A, Li JJ, Yong K, Lee KM, Manns BJ. Using effectiveness and cost-effectiveness to make drug coverage decisions: a comparison of Britain, Australia, and Canada. JAMA. 2009;302:1437-43.
Ciani O, Buyse M, Drummond M, Rasi G, Saad ED, Taylor RS. Use of surrogate end points in healthcare policy: a proposal for adoption of a validation framework. Nat Rev Drug Discov. 2016;15:516.
Baser O, Wei W, Henk HJ, Teitelbaum A, Xie L. Patient survival and healthcare utilization costs after diagnosis of triple-negative breast cancer in a United States managed care cancer registry. Curr Med Res Opin. 2012;28:419-28.
Stokes ME, Thompson D, Montoya EL, Weinstein MC, Winer EP, Earle CC. Ten-year survival and cost following breast cancer recurrence: estimates from SEER-medicare data. Value Health. 2008;11:213-20.
Guerin A, Sasane M, Gauthier G, Keir CH, Zhdavana M, Wu EQ. The economic burden of gastrointestinal stromal tumor (GIST) recurrence in patients who have received adjuvant imatinib therapy. J Med Econ. 2015;18:241-8.
Tarhini A, Ghate SR, Ionescu-Ittu R, Manceur AM, Ndife B, Jacques P, et al. Postsurgical treatment landscape and economic burden of locoregional and distant recurrence in patients with operable nonmetastatic melanoma. Melanoma Res. 2018;28:618-28.
Andersen PK, Hansen MG, Klein JP. Regression analysis of restricted mean survival time based on pseudo-observations. Lifetime Data Anal. 2004;10:335-50.
George D, Pantuck A, Figlin R, Escudier B, Halabi S, Casey M, et al. Correlations between disease-free survival (DFS) and overall survival (OS) in patients (pts) with renal cell carcinoma (RCC) at high risk for recurrence: results from S-TRAC trial. Ann Oncol. 2018;29:viii312.
U.S. Food and Drug Administration. FDA approves sunitinib malate for adjuvant treatment of renal cell carcinoma [Internet]. 2017. Available from: https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-sunitinib-malate-adjuvant-treatment-renal-cell-carcinoma. Accessed 6 May 2021.

Auteurs

Naomi B Haas (NB)

University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Yan Song (Y)

Analysis Group, Inc., Boston, Massachusetts, USA.

Jaqueline Willemann Rogerio (J)

Merck & Co., Inc., Rahway, New Jersey, USA.

Su Zhang (S)

Analysis Group, Inc., Boston, Massachusetts, USA.

Christopher Carley (C)

Analysis Group, Inc., Boston, Massachusetts, USA.

JingJing Zhu (J)

Analysis Group, Inc., Boston, Massachusetts, USA.

Rituparna Bhattacharya (R)

Merck & Co., Inc., Rahway, New Jersey, USA.

James Signorovitch (J)

Analysis Group, Inc., Boston, Massachusetts, USA.

Murali Sundaram (M)

Merck & Co., Inc., Rahway, New Jersey, USA.

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