@article { author = {Tomita, Masaki and Ayabe, Takanori and Maeda, Ryo and Nakamura, Kunihide}, title = {The Inflammatory Prognostic Index Predicts Cancer-Specific Outcomes of Patients with Resected Non-Small Cell Lung Cancer}, journal = {Asian Pacific Journal of Cancer Prevention}, volume = {19}, number = {10}, pages = {2867-2870}, year = {2018}, publisher = {West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.}, issn = {1513-7368}, eissn = {2476-762X}, doi = {10.22034/APJCP.2018.19.10.2867}, abstract = {Background: Previous study developed a new inflammatory prognostic index (IPI) and found the prognostic valueof IPI for all stage non-small cell lung cancer (NSCLC). To the best of our knowledge, however, no studies regardingIPI in patients with resected NSCLC are available. Methods: Three hundred forty-one NSCLC patients who underwentsurgery at our institution were included. The IPI was calculated as C-reactive protein × neutrophil-to-lymphocyte ratio(NLR)/serum albumin. The optimal cut-off value was calculated by the Cutoff Finder. Univariate and multivariateanalyses were calculated by the Cox proportional hazards regression model. Results: The optimal cut-off value was5.237 for IPI. The IPI was associated with age, gender, smoking status, histology, pT status and serum CYFRA21-1level, but not pStage, pN status and serum carcinoembryonic antigen level. The 5-year cancer-specific survival ofpatients with low IPI was significantly better than that with high IPI (84.8% vs. 57.9%, p< 0.001). Furthermore, low IPIwas significantly associated with favorable cancer-specific survival in univariate (HR =0.326, 95% CI =0.212-0.494;p<0.001) and multivariate (HR =0.438, 95% CI =0.276-0.690; p=0.001) analyses. Conclusion: This is the first studyto demonstrate that IPI might serve as an efficient prognostic indicator in resected NSCLC.}, keywords = {inflammatory prognostic index,non-small cell lung cancer,Surgery,cancer-specific survival}, url = {https://journal.waocp.org/article_69121.html}, eprint = {https://journal.waocp.org/article_69121_142bff32b1d4dc79716dd829a3d55b79.pdf} }