Lung cancer is one of the most deadly cancers worldwide, with non-small cell lung cancer (NSCLC) being the most common form. While early-stage NSCLC can often be treated with surgery, up to 30-75% of patients experience recurrence after the procedure. Researchers have now developed a novel nomogram that can accurately predict the risk of early recurrence in patients with stage IB lung adenocarcinoma (LUAD), the most prevalent NSCLC subtype. The model is based on inflammation and nutrition markers that are easily measurable, making it a valuable tool for clinicians to guide post-operative treatment decisions.
Inflammation, Nutrition, and Lung Cancer Prognosis
Lung cancer prognosis is influenced not only by tumor-related factors, but also by the patient’s immune function, nutritional status, and inflammatory responses. Previous studies have shown that markers like ratio’>lymphocyte-to-monocyte ratio (LMR), and mutation’>EGFR mutations, to further refine the predictive model.
Overall, this study highlights the importance of considering both tumor-related and patient-related factors, such as inflammation and nutrition, when assessing the prognosis of early-stage lung cancer. The development of this nomogram represents a significant step towards personalized management of stage IB LUAD, potentially improving outcomes for these patients.
Author credit: This article is based on research by Xianneng He, Yishun Xiang, Chengbin Lin, Weiyu Shen.
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