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. Author manuscript; available in PMC: 2022 Feb 1.
Published in final edited form as: JAMA Oncol. 2022 Jan 1;8(1):167–168. doi: 10.1001/jamaoncol.2021.5605

Analysis of Outcomes With Addition of Immunotherapy to Chemoradiation Therapy for Non-Small Cell Lung Cancer

Lu Tian 1, Bo Huang 2, Lee-Jen Wei 3
PMCID: PMC8776591  NIHMSID: NIHMS1761249  PMID: 34734980

To the Editor

Jabbour and colleagues1 conducted an important, exploratory nonrandomized clinical trial to evaluate treatment outcomes and safety of pembrolizumab plus concurrent chemoradiation therapy for patients with non-small cell lung cancer in 2 cohorts: A (squamous/nonsquamous) and B (nonsquamous). One of the primary end points was the objective response. Their rates were 70.5% (95% CI, 61.2%-78.8%) in cohort A and 70.6% (95% CI, 60.7%-79.2%) in cohort B. The authors also conducted an analysis for the duration of response (DOR). The DOR is a clinically meaningful measure for efficacy beyond objective response rate and progression-free survival. However, the authors only considered DOR for responders. From the Kaplan-Meier curves for DOR reported in Figure 2,1 for cohort A, about 88.2% of responders had a duration of response lasting at least 6 months and 79.7% at least 12 months. The corresponding values for cohort B were 91.3% and 75.6%, respectively. With other colleagues in a recent publication in this journal,2 we discussed the issues of the conventional way to analyze DOR data, which was the procedure used for the present study. Specifically, it was pointed out that analysis of DOR data from the responders only violates the intention-to-treat principle and does not reflect the causal treatment effect. For example, in the present study,1 about 30% of patients did not respond during the study in either cohort. Therefore, the DORs were 0 for those nonresponders. It would be more informative to use the intention-to-treat analysis including those nonresponders for DOR assessment. Second, the Kaplan-Meier curves presented in Figure 21 for DOR are not valid as pointed out in the recent literature.2,3 This is because the DOR and its censoring time are not independent. A remedy to summarize the DOR data is to construct a current response rate curve over time, that is, at each time point, the proportion of the patients who responded and were still responding at this time point. The area under this curve is the mean DOR up to the study follow-up period.2,3 This mean value is quite informative about DOR. However, at this point, there are no statistical methods available to construct a valid estimate for the distribution of the DOR similar to the Kaplan-Meier curve in Figure 2.1 Thus, it is not clear if estimates of the proportion of patients reported in the article, whose DOR would be beyond 6 or 12 months, were valid. More research is needed along this line to draw attention to this important matter.

Footnotes

Conflict of Interest Disclosures: None reported.

Contributor Information

Lu Tian, Department of Biomedical Data Science, Stanford University, Stanford, California.

Bo Huang, Pfizer Inc, Groton, Connecticut.

Lee-Jen Wei, Department of Biostatistics, Harvard University, Boston, Massachusetts..

References

  • 1.Jabbour SK, Lee KH, Frost N, et al. Pembrolizumab plus concurrent chemoradiation therapy in patients with unresectable, locally advanced, stage III non-small cell lung cancer: the phase 2 KEYNOTE-799 nonrandomized trial. JAMA Oncol. Published online June 4, 2021. doi: 10.1001/jamaoncol.2021.2301 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Huang B, Tian L, Talukder E, Rothenberg M, Kim DH, Wei LJ. Evaluating treatment effect based on duration of response for a comparative oncology study. JAMA Oncol. 2018;4(6):874–876. doi: 10.1001/jamaoncol.2018.0275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Huang B, Tian L, McCaw ZR, et al. Analysis of response data for assessing treatment effects in comparative clinical studies. Ann Intern Med. 2020;173(5): 368–374. doi: 10.7326/M20-0104 [DOI] [PMC free article] [PubMed] [Google Scholar]

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