{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T18:55:38Z","timestamp":1766516138635,"version":"3.41.2"},"reference-count":26,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T00:00:00Z","timestamp":1669593600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>According to the randomized multicenter phase II trial (ALTER1202), anlotinib has been approved as a third\u2010line therapy for advanced small\u2010cell lung cancer (SCLC). Some studies showed the predictive function of inflammatory markers, including neutrophil\u2010to\u2010lymphocyte ratio (NLR), platelet\u2010to\u2010lymphocyte ratio (PLR), and lymphocyte\u2010to\u2010monocyte ratio (LMR) in the different cancers treated with anti\u2010vascular targeting drugs. However, none of the studies showed the roles of NLR, PLR, and LMR in SCLC patients receiving anlotinib. Thus, our objective was to establish a scoring system based on inflammation to individuate patient stratification and selection based on NLR, PLR, and LMR.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>NLR, PLR, and LMR and their variations were calculated in 53 advanced SCLC patients receiving anlotinib as a third\u2010 or further\u2010line treatment at Ningbo Medical Center Lihuili Hospital between January 2019 and December 2021. Kaplan\u2013Meier curves were plotted. Both univariate and multivariate Cox regressions were used to identify predictors of survival.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Disease control rate was related to pre\u2010NLR, pre\u2010PLR, pre\u2010LMR, post\u2010NLR elevation, post\u2010PLR elevation, and post\u2010LMR elevation. The multivariate analysis determined post\u2010NLR elevation, pre\u2010PLR\u2009&gt;\u2009240.56, and pre\u2010LMR \u22641.61 to be independently associated with progression\u2010free survival, not overall survival. The inflammation\u2010based prognostic scoring system demonstrated favorable predictive ability from the receiver operating characteristic curve (AUC: 0.791, 95% CI: 0.645\u20130.938).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Post\u2010NLR variation, pre\u2010PLR, and pre\u2010LMR were independent prognostic factors for PFS in advanced SCLC receiving anlotinib monotherapy. The inflammation\u2010based prognostic scoring system can accurately predict effectiveness and survival.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.24772","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T17:01:35Z","timestamp":1669654895000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Inflammation\u2010based prognostic scoring system for predicting the prognosis of advanced small cell lung cancer patients receiving anlotinib monotherapy"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8490-600X","authenticated-orcid":false,"given":"Tian","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, Ningbo Medical Center Lihuili Hospital Ningbo University  Ningbo 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