Radiogenomics for the prognosis in advanced non-small cell lung cancer patients receiving bevacizumab.

Abstract

e21669 Background: In the new era of immunotherapy, the regimen based on bevacizumab is still one of the standard options for treatment of advanced non-small cell lung cancer (NSCLC) patients without driver mutations. However, the prognostic factors for bevacizumab are still missing. We aimed to determine the integrative value of computed tomography (CT), epigenetic modifications, clinicopathological and systemic inflammatory factors for predicting the survival of advanced NSCLC patients with bevacizumab. Methods: Clinicopathological parameters, dynamic systemic inflammatory factors, radiomics features, and DNA methylation profiling in advanced non-squamous NSCLC patients receiving first- or second- line bevacizumab plus chemotherapy were included in this study. The prognostic radiomics signature were constructed by least absolute shrinkage and selection operator (LASSO) Cox analysis. A multi-omics prediction nomogram for progression-free survival (PFS) based on radiomics, clinicopathological and systemic inflammatory features was established and independently validated. Furthermore, radiomics signature-related DNA methylation were submitted to functional enrichment analysis. Results: Total of 272 patients were included in analysis, 224 in training cohort and 48 in validation cohort. Five radiomics features, including Information Measure Corr1, Inverse Variance, Local Std Max, Gauss Area, Spherical Disproportion, were finally selected to construct radiomics signature with the AUC of 0.71. Smoking history, anatomical feature, liver metastasis, LDH4, NLR2 and radiomics signature were found to be independent prognostic factors for PFS. A multi-omics nomogram was developed based on these features in training cohort with the C-index of 0.76, and external validated with the C-index of 0.75. The tissue slices of 20 patients receiving bevacizumab were used for DNA methylation profiling. Functional enrichment analysis indicated widespread and statistically significant associations between radiomics features and DNA methylation changes which involved in several pathways related to angiogenesis and immune system, such as Notch signaling pathway, small GTPase Rho signal transduction, TGFβ signal transduction. Conclusions: This multi-omics nomogram integrating radiomics, clinicopathological, systemics inflammatory features improved the prediction of PFS in advanced NSCLC patients receiving bevacizumab. And the radiomics signature were found to be related to angiogenesis and immune status.