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Mingshuang Wu,1 Yi He,1 Chenxi Pan2 1Department of Urology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People’s Republic of China; 2Department of Breast Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People’s Republic of ChinaCorrespondence: Yi He; Chenxi Pan, The Second Affiliated Hospital of Dalian Medical University, 467, Zhongshan Road, Shahekou District, Dalian, 116044, People’s Republic of China, Tel/Fax +86 411 84671291, Email heyi_gzr@163.com; PCX980205@outlook.comPurpose: Serum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in small cell lung cancer (SCLC) patients remains unclear. This study investigated the relationship between lipid profiles and clinical outcomes in extensive-stage (ES) SCLC by establishing a predictive risk classification model.Patients and Methods: We retrospectively analyzed the prognostic values of pretreatment serum lipids and their derivatives in patients with a confirmed diagnosis ES-SCLC. Independent factors of progression-free survival (PFS) were determined by univariate and multivariate cox analysis. Then, prognostic nomograms were established, of which predictive performance was evaluated by concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA).Results: A total of 158 patients was included in this study. Four optimal PFS-related factors, total cholesterol (TC) ≥ 5.30, high-density lipoprotein cholesterol (HDL-C) > 1.30, triglycerides (TG)/HDL-C > 2.18, and ki67 expression > 70%, were included to construct the predictive nomogram. The C-indexes in training and validation sets were 0.758 and 0.792, respectively. ROC curves, calibration plots, and DCA all suggested favorable discrimination and predictive ability. Besides, the nomogram also performed better predictive ability than ki67 expression. Nomogram-related risk score divided the patients into two groups with significant progression disparities.Conclusion: The promising prognostic nomogram based on lipid parameters could help clinicians to conveniently and accurately evaluate the prognosis of ES-SCLC patients and identify high-risk groups, so as to formulate individualized therapeutic regimens and follow-up strategies in time.Keywords: small cell lung cancer, serum lipid, ki67, chemotherapy, nomogram

Tumour M2‐pyruvate kinase (TUM2‐PK) is up‐regulated in many human cancers. This study was to evaluate the clinical value of serum TUM2‐PK in early‐stage non–small cell lung cancer (NSCLC) patients. A total of 162 consecutive early‐stage NSCLC patients were enrolled and followed up after tumour resection. Serum TUM2‐PK level was detected by enzyme‐linked immunosorbent assay (ELISA) in NSCLC patients, 50 benign pulmonary disease patients and 102 healthy controls. The TUM2‐PK level in NSCLC patients was higher than that of healthy controls (P <.001) and benign pulmonary disease patients (P <.001). A threshold of 30 U/mL could be used to diagnose early‐stage NSCLC with 71.6% sensitivity and 98.0% specificity. The 5‐year overall survival rate in patients with high TUM2‐PK level was lower than that of patients with low TUM2‐PK level (P =.009). Multivariable Cox regression showed that high TUM2‐PK level was an independent risk factor for overall survival (HR = 2.595, 95% CI: 1.231‐5.474, P =.012). High serum TUM2‐PK level could be a potential biomarker for diagnosis and prognosis of early‐stage NSCLC patients. [ABSTRACT FROM AUTHOR]