In Reply We thank Liu and Niu for their comments on our systematic review and meta-analysis1 on biomarker modalities for predicting response to PD-1/PD-L1 (programmed cell death/programmed cell death 1 ligand 1) checkpoint blockade. Liu and Niu propose that additional subgroup analysis besides tumor type and tumor mutational burden should be explored, such as age, sex, and type of PD-L1 antibodies, and suggest performing a meta-regression analysis. In principle, such an analysis could be informative; however, the heterogeneity of the currently available studies precludes multivariable subgroup analyses. Once covariates—for example, tumor type, tumor stage, and PD-L1 immunohistochemistry assay with a specific cutoff value—are combined, meaningful subgroup comparisons are not possible because of the small number of studies in each category. In addition, only a subset of studies included individual-level patient data for age and sex. Therefore, clinical covariates, such as age, sex, and tumor stage, were examined between assay modalities using summarized characteristics from each study (eFigure 1 in the Supplement1). No meaningful differences were observed.
Identify all potential conflicts of interest that might be relevant to your comment.
Conflicts of interest comprise financial interests, activities, and relationships within the past 3 years including but not limited to employment, affiliation, grants or funding, consultancies, honoraria or payment, speaker's bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued.
Err on the side of full disclosure.
If you have no conflicts of interest, check "No potential conflicts of interest" in the box below. The information will be posted with your response.
Not all submitted comments are published. Please see our commenting policy for details.
Lu S, Wang H, Taube JM. Different Biomarker Modalities and Response to Anti–PD-1/PD-L1 Therapies—Reply. JAMA Oncol. Published online November 27, 2019. doi:https://doi.org/10.1001/jamaoncol.2019.5154
Browse and subscribe to JAMA Network podcasts!
Customize your JAMA Network experience by selecting one or more topics from the list below.
Create a personal account or sign in to: