Individualization of Treatment Improves the Survival of Children With High-Risk Solid Tumors: Comparative Patient Series Analysis in a Real-Life Scenario

. 2019 ; 9 () : 644. [epub] 20190717

Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid31380281

Introduction: The individualization of treatment is attractive, especially in children with high-risk cancer. In such a rare and very heterogeneous group of diseases, large population-based clinical randomized trials are not feasible without international collaboration. We therefore propose comparative patient series analysis in a real-life scenario. Methods: Open cohort observational study, comparative analysis. Seventy patients with high-risk solid tumors diagnosed between 2003 and 2015 and in whom the treatment was individualized either empirically or based on biomarkers were analyzed. The heterogeneity of the cohort and repeated measurements were advantageously utilized to increase effective sample size using appropriate statistical tools. Results: We demonstrated a beneficial effect of empirically given low-dose metronomic chemotherapy (HR 0.46 for relapses, p = 0.017) as well as various repurposed or targeted agents (HR 0.15 for deaths, p = 0.004) in a real-life scenario. However, targeted agents given on the basis of limited biological information were not beneficial. Conclusions: Comparative patient series analysis provides institutional-level evidence for treatment individualization in high-risk pediatric malignancies. Our findings emphasize the need for a comprehensive, multi omics assessment of the tumor and the host as well whenever molecularly driven targeted therapies are being considered. Low-dose metronomic chemotherapy or local control of the disease may be a more rational option in situations where targeted treatment cannot be justified by robust evidence and comprehensive biological information. "Targeted drugs" may be given empirically with a realistic benefit expectation when based on robust rationale.

Zobrazit více v PubMed

Steliarova-Foucher E, Stiller C, Kaatsch P, Berrino F, Coebergh JW, Lacour B, et al. Geographical patterns and time trends of cancer incidence and survival among children and adolescents in Europe since the 1970s (the ACCIS project): an epidemiological study. Lancet. (2004) 364:2097–105. 10.1016/S0140-6736(04)17550-8 PubMed DOI

Pasquier E, Kavallaris M, Andre N. Metronomic chemotherapy: new rationale for new directions. Nat Rev Clin Oncol. (2010) 7:455–65. 10.1038/nrclinonc.2010.82 PubMed DOI

Zapletalova D, André N, Deak L, Kyr M, Bajciova V, Mudry P, et al. . Metronomic chemotherapy with the COMBAT regimen in advanced pediatric malignancies: a multicenter experience. Oncology. (2012) 82:249–60. 10.1159/000336483 PubMed DOI

Steppan DA, Pratilas CA, Loeb DM. Targeted therapy for soft tissue sarcomas in adolescents and young adults. Adolesc Health Med Ther. (2017) 8:41–55. 10.2147/AHMT.S70377 PubMed DOI PMC

Mendelsohn J. A national cancer clinical trials system for targeted therapies. Sci Transl Med. (2011) 3:75cm8. 10.1126/scitranslmed.3001716 PubMed DOI

Skovlund E, Leufkens HGM, Smyth JF. The use of real-world data in cancer drug development. Eur J Cancer. (2018) 101:69–76. 10.1016/j.ejca.2018.06.036 PubMed DOI

Korn EL, McShane LM, Freidlin B. Statistical challenges in the evaluation of treatments for small patient populations. Sci Transl Med. (2013) 5:178sr3. 10.1126/scitranslmed.3004018 PubMed DOI

Couzin-Frankel J. Medical research. Clinical trials get practical. Science. (2015) 348:382. 10.1126/science.348.6233.382 PubMed DOI

Conway PH, Clancy C. Comparative-effectiveness research-implications of the Federal Coordinating Council's report. N Engl J Med. (2009) 361:328–30. 10.1056/NEJMp0905631 PubMed DOI

Sox HC, Goodman SN. The methods of comparative effectiveness research. Annu Rev Public Health. (2012) 33:425–45. 10.1146/annurev-publhealth-031811-124610 PubMed DOI

Wei LJ, Lin DY, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J Am Stat Assoc. (1989) 84:1065–73. 10.1080/01621459.1989.10478873 DOI

Andersen PK, Gill RD. Cox's regression model for counting processes: a large sample study. Ann Stat. (1982) 10:1100–20. 10.1214/aos/1176345976 DOI

Prentice RL, Williams BJ, Peterson AV. On the regression analysis of multivariate failure time data. Biometrika. (1981) 68:373–79. 10.1093/biomet/68.2.373 DOI

Box-Steffensmeier JM, Zorn C. Duration models for repeated events. J Polit. (2002) 64:1069–96. 10.1111/1468-2508.00163 DOI

Box-Steffensmeier JM, De Boef S, Joyce K. Event dependence and heterogeneity in duration models: the conditional frailty model. Polit Anal. (2007) 15:237–56. 10.1093/pan/mpm013 DOI

Box-Steffensmeier JM, De Boef S. Repeated events survival models: the conditional frailty model. Stat Med. (2006) 25:3518–33. 10.1002/sim.2434 PubMed DOI

Liu L, Wolfe RA, Huang X. Shared frailty models for recurrent events and a terminal event. Biometrics. (2004) 60:747–56. 10.1111/j.0006-341X.2004.00225.x PubMed DOI

Król A, Mauguen A, Mazroui Y, Laurent A, Michiels S, Rondeau V. Tutorial in joint modeling and prediction: a statistical software for correlated longitudinal outcomes, recurrent events and a terminal event. J Stat Softw. (2017) 81:1–52. 10.18637/jss.v081.i03 DOI

R Core Team . R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; (2017). Available online at: https://www.R-project.org/ (accessed July 9, 2019).

Therneau TM, Lumley T. Survival: Survival Analysis. R package version 2.41.3 (2017). Available online at: http://cran.r-project.org/web/packages/survival/ (accessed July 9, 2019).

Rondeau V, Mazroui Y, Gonzalez JR. frailtypack: an R package for the analysis of correlated survival data with frailty models using penalized likelihood estimation or parametrical estimation. J Stat Softw. (2012) 47:1–28. 10.18637/jss.v047.i04 PubMed DOI

Rondeau V, Gonzalez JR. frailtypack: a computer program for the analysis of correlated failure time data using penalized likelihood estimation. Comput Methods Programs Biomed. (2005) 80:154–64. 10.1016/j.cmpb.2005.06.010 PubMed DOI

Rondeau V, Gonzalez JR, Mazroui Y, Mauguen A, Krol A, Diakite A, et al. Frailtypack: General Frailty Models Shared, Joint and Nested Frailty Models With Prediction. R package version 2.11.1 (2017). Available online at: https://cran.r-project.org/web/packages/frailtypack/index.html (accessed July 9, 2019).

Peduzzi P, Concato J, Feinstein AR, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol. (1995) 48:1503–10. 10.1016/0895-4356(95)00048-8 PubMed DOI

Bisogno G, De Salvo GL, Bergeron C, Jenney M, Merks JHM, Minard-Colin V, et al. Maintenance chemotherapy extends life for children with a rare cancer – first treatment advance for this cancer in 30 years. Presented on 3rd June 2018, ASCO Annual Meeting. Chicago, IL: (2018).

Lindsey JK, Lambert P. On the appropriateness of marginal models for repeated measurements in clinical trials. Stat Med. (1998) 17:447–69. PubMed

Navarro A, Casanovas G, Alvarado S, Moriña D. Analyzing recurrent events when the history of previous episodes is unknown or not taken into account: proceed with caution. Gac Sanit. (2017) 31:227–34. 10.1016/j.gaceta.2016.09.004 PubMed DOI

Stempak D, Gammon J, Halton J, Moghrabi A, Koren G, Baruchel S. A pilot pharmacokinetic and antiangiogenic biomarker study of celecoxib and low-dose metronomic vinblastine or cyclophosphamide in pediatric recurrent solid tumors. J Pediatr Hematol Oncol. (2006) 28:720–8. 10.1097/01.mph.0000243657.64056.c3 PubMed DOI

Young SD, Whissell M, Noble JC, Cano PO, Lopez PG, Germond CJ. Phase II clinical trial results involving treatment with low-dose daily oral cyclophosphamide, weekly vinblastine, and rofecoxib in patients with advanced solid tumors. Clin Cancer Res. (2006) 12:3092–8. 10.1158/1078-0432.CCR-05-2255 PubMed DOI

Ali AM, El-Sayed MI. Metronomic chemotherapy and radiotherapy as salvage treatment in refractory or relapsed pediatric solid tumours. Curr Oncol. (2016) 23:e253–9. 10.3747/co.23.2873 PubMed DOI PMC

Mudry P, Slaby O, Neradil J, Soukalova J, Melicharkova K, Rohleder O. Case report: rapid and durable response to PDGFR targeted therapy in a child with refractory multiple infantile myofibromatosis and a heterozygous germline mutation of the PDGFRB gene. BMC Cancer. (2017) 17:119. 10.1186/s12885-017-3115-x PubMed DOI PMC

Kurnit KC, Dumbrava EEI, Litzenburger BC, Khotskaya YB, Johnson A, Yap TA, et al. . Precision oncology decision support: current approaches and strategies for the future. Clin Cancer Res. (2018) 24:2719–31. 10.1158/1078-0432.CCR-17-2494 PubMed DOI PMC

Nejnovějších 20 citací...

Zobrazit více v
Medvik | PubMed

N-of-1 Trials in Pediatric Oncology: From a Population-Based Approach to Personalized Medicine-A Review

. 2021 Oct 29 ; 13 (21) : . [epub] 20211029

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...