When non-small cell lung cancer (NSCLC) patients were first diagnosed, metastases were common. On the other hand, little was known about the variables that contribute to its metastasis. For a study, researchers intended to create models for predicting its metastatic organs and to find additional biomarkers linked to its organ tropism metastasis.

They used targeted next-generation sequencing (NGS) to look for genes associated with lung cancer in 272 patients who had primary advanced NSCLC. To find gene mutations associated with metastasis and create prediction models.

Mutations of EGFR (P=0.0003, OR = 2.554) (particularly EGFR L858R [P=0.02, OR = 2.009]), ATM (P=0.008, OR = 11.032), and JAK2 (P=0.009, OR = 0.173) were positively correlated with lung metastasis, whereas those of CSF1R (P=0.01, OR = Inf), KIT (P=0.03, OR = 4.746), MYC (P=0.05, OR = 7.938), & ERBB2 (P=0.02, OR = 2.666) were positively correlated with pleural dissemination; those of TP53 (P=0.01, OR = 0.417) was negatively, while of SMAD4 (P=0.03, OR = 4.957) was positively correlated with brain metastasis of NSCLC. Furthermore, smoking history (P=0.004, OR = 0.004) was inversely associated with NSCLC pleural spread. Furthermore, models for lung metastasis (AUC = 0.706), pleural dissemination (AUC = 0.651), and brane metastasis (AUC = 0.629) prediction were developed.

The research developed 3 models for the prediction of metastatic organs and identified 9 mutant genes and smoking history linked to organ tropism metastases of NSCLC. They can now anticipate the organs to which non-small cell lung cancer will metastasize before it actually occurs.

Reference: onlinelibrary.wiley.com/doi/10.1002/cam4.5233