The tyrosine kinase activity of epidermal growth factor receptor (EGFR) plays a key role in tumor cell proliferation, invasion, migration, and drug resistance. Studies have shown that non-small cell lung cancer patients with somatic driver gene EGFR mutations are sensitive to and can benefit from EGFR-tyrosine kinase inhibitors (EGFR-TKIs). Nevertheless, EGFR-TKIs-related adverse events should not be ignored. Common adverse events such as diarrhea, acne-like rash and paronychia are usually manageable; although the incidence of interstitial lung disease is low, once it occurs, it is a serious threat to patients' life, and its pathogenesis is still unclear. There is very limited animal experimental and clinical research evidence on the potential mechanism of EGFR-TKIs-related interstitial lung disease in the available literature. Based on this, this article reviews the association between EGFR-TKIs and interstitial lung disease, at the same time, also discusses the research progress of EGFR-TKIs-related interstitial lung disease in combination with cytotoxic drugs or immunotherapeutic drugs and EGFR-TKIs, in order to provide a reference for the prevention and treatment of EGFR-TKIs-related interstitial lung disease in clinical practice in the future.
ObjectiveTo construct a prognostic model of esophageal squamous cell carcinoma (ESCC) based on immune checkpoint-related genes and explore the potential relationship between these genes and the tumor microenvironment (TME). Methods The transcriptome sequencing data and clinical information of immune checkpoint genes of samples from GSE53625 in GEO database were collected. The difference of gene expression between ESCC and normal paracancerous tissues was evaluated, and the drug sensitivity of differentially expressed genes in ESCC was analyzed. We then constructed a risk model based on survival-related genes and explored the prognostic characteristics, enriched pathway, immune checkpoints, immune score, immune cell infiltration, and potentially sensitive drugs of different risk groups. ResultsA total of 358 samples from 179 patients were enrolled, including 179 ESCC samples and 179 corresponding paracancerous tissues. There were 33 males and 146 females, including 80 patients≤60 years and 99 patients>60 years. 39 immune checkpoint genes were differentially expressed in ESCC, including 14 low expression genes and 25 high expression genes. Drug sensitivity analysis of 8 highly expressed genes (TNFRSF8, CTLA4, TNFRSF4, CD276, TNFSF4, IDO1, CD80, TNFRSF18) showed that many compounds were sensitive to these immunotherapy targets. A risk model based on three prognostic genes (NRP1, ICOSLG, HHLA2) was constructed by the least absolute shrinkage and selection operator analysis. It was found that the overall survival time of the high-risk group was significantly lower than that of the low-risk group (P<0.001). Similar results were obtained in different ESCC subtypes. The risk score based on the immune checkpoint gene was identified as an independent prognostic factor for ESCC. Different risk groups had unique enriched pathways, immune cell infiltration, TME, and sensitive drugs. Conclusion A prognostic model based on immune checkpoint gene is established, which can accurately stratify ESCC and provide potential sensitive drugs for ESCC with different risks, thus providing a possibility for personalized treatment of ESCC.