Early prediction of systemic treatment response in advanced non-small cell lung cancer by electronic nose analysis of exhaled breath: a multi-center prospective external validation study

Buma, A.
Muntinghe-Wagenaar, B.
van der Noort, V.
de Vries, R.
Schuurbiers, M.
Bruinink-Brouwer, S.
Sterk, P.
van der Wekken, A.
Citgez, E.
Geraedts, E.
Piet, B.
ter Heine, R.
van den Heuvel, M.
Hiltermann, J.

The data was collected in the context of a multi-center prospective external validation study that primarily aimed to assess the predictive performance of four previously published electronic nose (eNose) models for predicting treatment response at three months after initiation of immunotherapy monotherapy. The secondary aim of the study was to explore the utility of the four previously published eNose models for predicting treatment response at three months after treatment initiation in patients receiving chemo-immunotherapy or targeted therapy. Patients were recruited at thoracic oncology outpatient clinics of four different treatment centers across the Netherlands between August 2018 and January 2025. Baseline characteristics of the patients are included in the files: "Baseline characteristics immunotherapy monotherapy", "Baseline characteristics chemo-immunotherapy", and "Baseline characteristics targeted therapy". ENose data and survival data of all patients are included in the file "eNose data and survival data of all patients".