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These studies suggest that lung cancer prognosis is influenced by tumor size, nodal size, platelet to lymphocyte ratio, circulating tumor cells, smoking cessation, method of detection, performance status, and gender, with variations between non-small cell and small cell lung cancer.
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In stage III NSCLC, tumor size and nodal volume are significant prognostic factors for overall survival (OS). A systematic review and meta-analysis identified gross tumor volume (HR=1.22, 95% CI: 1.05-1.42), tumor diameter, and nodal volume as critical indicators of prognosis in patients treated with chemoradiation. These factors are more reliable than clinical T-stage and tumor location (right/left), which were not found to be prognostic within this group.
The prognostic value of several radiomic features, including tumor volume, atelectasis, and interstitial lung abnormalities, remains inconclusive. Future studies should aim to validate these factors against established clinical guidelines to improve their reliability.
For patients with SMPLC, the long-term prognosis after surgical treatment is generally favorable, especially for those with early-stage disease. The pooled 5-year OS was 45% for true SMPLC patients and 62% for those with pathologic stage I disease. However, lymph node metastasis (HR=2.36) and pneumonectomy (HR=2.96) were identified as poor prognostic factors, whereas histology, laterality, sublobar resection, and adjuvant therapy did not significantly influence outcomes.
Elevated PLR is associated with poor overall survival in lung cancer patients. A meta-analysis revealed that a high PLR negatively impacts OS (HR=1.33) but is not significantly related to progression-free survival (HR=1.21). The prognostic value of PLR is particularly significant in non-small cell lung cancer (HR=1.43) and in patients treated with chemotherapy or radiotherapy (HR=1.66).
Smoking cessation after a lung cancer diagnosis significantly improves prognosis. Continued smoking is associated with increased risks of all-cause mortality and recurrence in both early-stage non-small cell lung cancer and limited-stage small cell lung cancer. Life table modeling estimated a 33% five-year survival rate for continuing smokers compared to 70% for those who quit smoking in early-stage NSCLC.
The presence of circulating tumor cells (CTCs) universally indicates a poor prognosis in lung cancer patients. This effect is more pronounced in small cell lung cancer (SCLC) (HR=3.11) compared to non-small cell lung cancer. Epithelial CTCs, in particular, predict worse outcomes than mesenchymal CTCs or epithelial-mesenchymal hybrids.
Screen-detected lung tumors exhibit better prognosis compared to those detected through symptoms. This improved prognosis remains significant even after adjusting for stage at diagnosis and other variables such as age, histology, and sex. Method of detection should be considered a crucial factor in developing prognostic models for lung cancer.
The prognosis of lung cancer is influenced by a variety of factors, including tumor size, nodal volume, PLR, smoking cessation, presence of CTCs, and method of detection. Understanding these factors can help in tailoring treatment strategies and improving patient outcomes. Future research should focus on validating new prognostic indicators and integrating them into clinical practice to enhance the accuracy of lung cancer prognosis.
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