Lymphocytes and sinus histiocytosis in tumor and matched lymph nodes as predictors of survival in non-small-cell lung cancer

To analyze immune cell populations in non-small-cell lung cancer (NSCLC) tumors and matched tumor-bearing and non-tumor-bearing lymph nodes (ntbLNs) to predict prognosis. 71 patients with long-term disease-free survival and 80 patients with relapse within 3 years were included in this study. We used Cox regression to identify factors associated with overall survival (OS) and progression-free survival (PFS). Sinus histiocytosis and tumor-infiltrating lymphocyte density in the tumor were positively associated with PFS and OS. expression in node 1 (hazard ratio = 0.72; p = 0.02) and node 2 (hazard ratio = 0.91; p = 0.04) ntbLNs were positively correlated with OS and PFS, respectively. Immunological markers in ntbLNs could be used to predict survival in NSCLC. We analyzed populations of immune cells in non-small-cell lung cancer (NSCLC). In addition, we also investigated lymph nodes from the same patient that contained or did not contain cancer cells. We included 71 patients whose cancer did not return within 3 years and 80 patients whose cancer did return within 3 years after they underwent surgery to remove their tumors. We used various statistical methods to identify factors that can predict survival. Sinus histiocytosis (a widening of ducts in the lymph nodes due to an increased number of certain cells) and the density of tumor-infiltrating lymphocytes (immune cells that enter the tumor to destroy it) can predict how long patients can survive after surgery or if their tumor will come back quickly. Looking at immune cells can help physicians decide which patients need increased follow-up care due to an increased risk for their tumors to return.