Objective: Evidence from cell and mouse models and human tissues suggests that cyclin dependent kinase 1 (CDK1) is involved in lung cancer (LC) tumorigenesis. However, the different types of expression patterns and prognostic results of CDK1 need further analysis.Methods: In the current study, we assessed CDK1 expression and LC patient outcomes using data from the Oncomine, GEPIA, and Kaplan-Meier Plotter databases. Additionally, mutations in the CDK1 gene were analyzed by using the cBioPortal database. The expression of CDK1 was verified by real-time quantitative PCR using the Human Protein Atlas database and human tissues. Results: Expression of CDK1 was higher in lung adenocarcinoma and squamous cell lung carcinoma tissues than in normal lung samples. Moreover, CDK1 expression was linked to disease progression. Survival analysis indicated that upregulation of CDK1 was related to poor overall survival, low first progression, and post-progression survival in patients with LC. Conclusions: Our results indicate that CDK1 is a potential clinical target and prognostic biomarker for patients with LC.

Background Various inflammatory biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), have been well authenticated to predict clinical outcomes in numerous types of cancer. The optimal treatment for patients with locally advanced esophageal squamous cell carcinoma (ESCC) located in the middle or upper region is still inconclusive. The aim of the study was to examine pretreatment NLR and PLR to select from radical surgery or definitive chemoradiotherapy (dCRT) for these patients. The linkage between pretreatment NLR/PLR and prognosis was also analyzed. Methods NLR and PLR were calculated in 113 locally advanced ESCC located in the middle or upper esophagus of patients who underwent radical surgery or dCRT between January 2014 and December 2019. A receiver operating characteristic curve was plotted to select the best cut-off value of NLR and PLR for predicting survival. A survival curve was plotted using the Kaplan–Meier method. Univariate and multivariate Cox regression analyses were applied to assess predictors for survival. Results NLR and PLR were associated with the extent of lymph node metastasis (NLR: P = 0.045; PLR: P = 0.002). Additionally, high PLR and recurrence with distant organ metastasis were closely related ( P = 0.014), and NLR was related to the tumor stage ( P = 0.043). The results of the multivariate analysis revealed that NLR (>2.07) and PLR (>183.06) were independently associated with poor prognosis. It is noteworthy that surgery was associated with a superior OS compared with dCRT in the low NLR population ( P = 0.045). Conclusion Low pretreatment NLR patients are fit to undergo radical surgery with a substantial therapeutic benefit. Pretreatment NLR and PLR are independent predictors for patients with locally advanced ESCC located in the middle and upper esophagus who underwent radical surgery or dCRT.

The clear cell renal cell carcinoma (ccRCC) is the main pathological subtype of renal cell carcinoma. Immune system evasion, one hallmark of cancer, contributes to cancer cells in escaping from the attack of immune cells. In order to identify potential prognostic biomarkers in ccRCC patients and immune cells fraction, we collected and downloaded profiles from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. We obtained 2 modules significantly associated with tumor stage and immune cells; functional enrichment analysis showed that genes in the module ‘yellow’ were significantly enriched in proteins targeting to membrane and ribosome, as well as the oxidative phosphorylation pathway, while genes in the module ‘green’ mainly participate in molecular functions associated with immunity like activation of T cells. Four LncRNAs ( LINC00472, AL590094.1, AL365203.3 , and AC147651.3 ) and RPL27A and RPL22L1 in the module ‘yellow’ and two lncRNAs ( LINC00426 and AC129507.2 ) and five protein-coding genes ( CSF1, NOD2, ITGAE, CD7 , and PDCD1 ) in the module ‘green’ represented independent prognostic values in patients with ccRCC. Expression of LINC0042, NOD2, CD7 , and PDCD1 were significantly correlated with ratio of immune cells (like T cells CD8 and resting mast cells). LINC00426 , with significant correlation with immune cell fraction, shows potential prognostic value in ccRCC patients. Our findings provide a strategy in exploring biomarkers with prognostic significance and significant association with the fraction of immune cells.

Background. A phase III randomized multicenter trial (ALTER0303) reported anlotinib to be significantly beneficial to patient survival. An array of inflammatory biomarkers, such as neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR), are associated with the response to treatment in numerous types of cancer. However, we found few studies investigating the predictive value of NLR or PLR in advanced NSCLC treatment with anlotinib. Thus, our objective was to examine the relationship between NLR and PLR and treatment effect, as well as to individuate patient stratification and selection. Methods. NLR and PLR as well as their variations were calculated in 152 advanced NSCLC patients receiving anlotinib as a third or further-line treatment at Ningbo Medical Center Lihuili Hospital between July 2018 and December 2020. The best cut-off values of NLR and PLR for predicting the treatment response were selected. Survival curves were plotted using the Kaplan–Meier method, while univariable and multivariable Cox regression were used to identify and determine dependent and independent predictors of survival. Results, Low disease control rate (DCR) was related with a high pre-NLR ( P = 0.007 ), high pre-PLR ( P = 0.004 ), and elevated post-NLR ( P = 0.010 ). Multivariate analysis determined high pre-PLR (>205.63) and elevated post-NLR to be independently associated with poor PFS or OS. Patients whose risk score was 2 resulting from the prediction model based on pre-PLR and post-NLR had a 4.52 times higher risk of death compared to patients whose risk score was 0 (HR: 4.516, 95% CI: 2.502-8.152, P ≤ 0.001 ). Conclusions. Pre-PLR and post-NLR were independent prognostic indicators in patients with advanced NSCLC receiving anlotinib as a third or further-line treatment. Patients whose risk value score was 0 had a higher therapy effectiveness and better survival.