Lung cancer remains the leading cause of cancer-related mortality worldwide. The main issue is the absence of a screening test available in clinical practice; the identification of noninvasive biomarkers is thus an urgent clinical necessity. Currently, low-dose computed tomography (LD-CT) demonstrates a 20% reduction in lung cancer mortality. However, it is not particularly suitable for clinical practice because of its costs, radiation, and false-positive rate. Several studies have therefore focused on research into biomarkers in body fluids. Despite the power of certain molecules to distinguish lung cancer patients from healthy subjects, no biomarker has yet been shown to significantly and reliably influence clinical decisions or to be translated from the laboratory to clinical practice. In this paper, we provide an overview of the peer-reviewed biomedical literature published in the last 10 years on the research regarding biomarkers for the early diagnosis of lung cancer via a comprehensive analysis of the reviews published this past year. Our main objective is to highlight the limitations and strengths of studies on predictive lung cancer biomarkers to stimulate further investigation for early diagnosis. Finally, we discuss future perspectives on managing clinical trials for biomarker research and their integration into clinical practice.
