Predictors of durable immune responses six months after the last vaccination in preventive HIV vaccine trials.

Journal Article (Clinical Trial, Phase III;Journal Article)

BACKGROUND: The evaluation of durable immune responses is important in HIV vaccine research and development. The efficiency of such evaluation could be increased by incorporating predictors of the responses in the statistical analysis. In this paper, we investigated whether and how baseline demographic variables and immune responses measured two weeks after vaccination predicted durable immune responses measured six months later. METHODS: We included data from seven preventive HIV vaccine regimens evaluated in three clinical trials: a Phase 1 study of four DNA, NYVAC and/or AIDSVAX vaccine regimens (HVTN096), a Phase 2 study of two DNA and/or MVA vaccine regimens (HVTN205), and a Phase 3 study of a single ALVAC/AIDSVAX regimen (RV144). Regularized random forests and linear regression models were used to identify and evaluate predictors of the positivity and magnitude of durable immune responses. RESULTS: We analyzed 201 vaccine recipients with data from 10 to 127 immune response biomarkers, and 3-5 demographic variables. The best prediction of participants' durable response positivity based on two-week responses rendered up to close-to-perfect accuracy; the best prediction of participants' durable response magnitude rendered correlation coefficients between the observed and predicted responses ranging up to 0.91. Though prediction performances differed among biomarkers, durable immune responses were best predicted by the two-week response level of the same biomarker. Adding demographic information and two-week response levels of different biomarkers provided little or no improvement in the predictions. CONCLUSIONS: For some biomarkers and for the vaccines we studied, two-week post-vaccination responses can well predict durable responses six months later. Therefore, if immune response durability is only assessed in a sub-sample of vaccine recipients, statistical analyses of durable responses will have increased efficiency by incorporating two-week response data. Further research is needed to generalize the findings to other vaccine regimens and biomarkers. identifiers: NCT01799954, NCT00820846, NCT00223080.

Full Text

Duke Authors

Cited Authors

  • Huang, Y; Zhang, L; Janes, H; Frahm, N; Isaacs, A; Kim, JH; Montefiori, D; McElrath, MJ; Tomaras, GD; Gilbert, PB

Published Date

  • February 22, 2017

Published In

Volume / Issue

  • 35 / 8

Start / End Page

  • 1184 - 1193

PubMed ID

  • 28131393

Pubmed Central ID

  • PMC5319823

Electronic International Standard Serial Number (EISSN)

  • 1873-2518

Digital Object Identifier (DOI)

  • 10.1016/j.vaccine.2016.09.053


  • eng

Conference Location

  • Netherlands