The thesis consists of two parts. In the first, overview part, the types of lung cancer are presented, as well as the concepts of prevention. Predictive biomarkers determined in lung cancer are described. The second part of the work is research. The data collected in the OB Pula in the period from 2020. to 2023. are presented. The data refer to patients diagnosed with lung cancer, as well as the importance of referring the obtained materials to additional analyzes of predictive biomarkers with the aim of an individual approach in the treatment of patients. With this work, I wanted to point out the importance of the nurse in the MDT, as a coordinator between team members and monitoring the findings that are sent to an external institution. Also, OB Pula follows all trends in the treatment of patients, and thus patients do not have to travel to other centers for therapy, which contributes to their quality of life. In the long term, the use of predictive biomarkers has the potential to significantly improve treatment outcomes. Precise identification of patients most likely to respond positively to certain therapies can increase treatment success rates, while reducing unnecessary and expensive treatments that would not be effective. This leads to a reduction in overall health care costs as resources can be directed to more effective interventions. Also, reducing side effects and improving the quality of life of patients contributes to their faster recovery and reducing the need for additional medical interventions.