Establishment of non-small-cell lung cancer risk prediction model based on prognosis-associated ADME genes

Abstract

Purpose: ADME genes are those involved in the absorption, distribution, metabolism, and excretion (ADME) of drugs. In this study, a non–small-cell lung cancer (NSCLC) risk prediction model was established using prognosis-associated ADME genes, and the predictive performance of this model was evaluated and verified. In addition, multifaceted difference analysis was performed on groups with high and low risk scores. Methods: An NSCLC sample transcriptome and clinical data were obtained from public databases. The prognosis-associated ADME genes were obtained by univariate Cox and lasso regression analyses to build a risk model. Tumor samples were divided into high-risk and low-risk score groups according to the risk score. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses of the differentially expressed genes and the differences in the immune infiltration, mutation, and medication reactions in the two groups were studied in detail. Results: A risk prediction model was established with seven prognosis-associated ADME genes. Its good predictive ability was confirmed by studies of the model’s effectiveness. Univariate and multivariate Cox regression analyses showed that the model’s risk score was an independent prognostic factor for patients with NSCLC. The study also showed that the risk score closely correlated with immune infiltration, mutations, and medication reactions. Conclusion: The risk prediction model established with seven ADME genes in this study can predict the prognosis of patients with NSCLC. In addition, significant differences in immune infiltration, mutations, and therapeutic efficacy exist between the high- and low-risk score groups.

Female reproductive and hormonal factors and lung cancer mortality among never‐smokers: A prospective cohort study of 287 408 Chinese women

“…A more comprehensive view may thus be offered by followup studies including genetic information, for example, genes involved in the absorption, distribution, metabolism, and excretion of drugs (socalled ADME genes) that have previously been shown to play a role in metabolising steroid hormones and be associated with patient survival. 44 Risk estimates reported in this study relate to a population with particularly high rates of lung cancer among never smoking women.…”

“…In addition, genetic information related to lung cancer development and progression was not available for analyses. A more comprehensive view may thus be offered by follow‐up studies including genetic information, for example, genes involved in the absorption, distribution, metabolism, and excretion of drugs (so‐called ADME genes) that have previously been shown to play a role in metabolising steroid hormones and be associated with patient survival 44 …”