Key result
Time-corrected gene-based classifiers from biopsies predict CLAD with 0.87 AUC, indicating severe parenchymal injury.
Why the study?
Many lung transplants develop chronic lung allograft dysfunction (CLAD), but transbronchial biopsy histology yields little insight and the molecular basis of CLAD is not defined.
Can gene expression profiling in transbronchial biopsies distinguish chronic lung allograft dysfunction from time-related changes posttransplant?
Cohort (n=498)
Can gene expression profiling in transbronchial biopsies distinguish chronic lung allograft dysfunction from time-related changes posttransplant?
Effect estimate: AUC 0.87
Molecular profiling of transbronchial biopsies reveals that chronic lung allograft dysfunction is primarily driven by severe parenchymal injury and dedifferentiation rather than inflammation.
May support molecular risk stratification via transbronchial biopsies in lung recipients; leaves open prospective validation before clinical adoption.
Transplanted lungs suffer worse outcomes than other organ transplants with many developing chronic lung allograft dysfunction (CLAD), diagnosed by physiologic changes. Histology of transbronchial biopsies (TBB) yields little insight, and the molecular basis of CLAD is not defined. We hypothesized that gene expression in TBBs would reveal the nature of CLAD and distinguish CLAD from changes due simply to time posttransplant. Whole-genome mRNA profiling was performed with microarrays in 498 prospectively collected TBBs from the INTERLUNG study, 90 diagnosed as CLAD. Time was associated with increased expression of inflammation genes, for example, CD1E and immunoglobulins. After correcting for time, CLAD manifested not as inflammation but as parenchymal response-to-wounding, with increased expression of genes such as HIF1A, SERPINE2, and IGF1 that are increased in many injury and disease states and cancers, associated with development, angiogenesis, and epithelial response-to-wounding in pathway analysis. Fibrillar collagen genes were increased in CLAD, indicating matrix changes, and normal transcripts were decreased-dedifferentiation. Gene-based classifiers predicted CLAD with AUC 0.70 (no time-correction) and 0.87 (time-corrected). CLAD related gene sets and classifiers were strongly prognostic for graft failure and correlated with CLAD stage. Thus, in TBBs, molecular changes indicate that CLAD primarily reflects severe parenchymal injury-induced changes and dedifferentiation.
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Parkes et al. (2021) conducted a cohort in Chronic lung allograft dysfunction (CLAD) (n=498). Gene expression profiling vs. Changes due to time posttransplant was evaluated on Prediction of CLAD using gene-based classifiers (AUC 0.87). Time-corrected gene-based classifiers from transbronchial biopsies predicted chronic lung allograft dysfunction with an AUC of 0.87, indicating CLAD reflects severe parenchymal injury.
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