scholarly journals Expression signature, prognosis value and immune characteristics of cathepsin F in non-small cell lung cancer identified by bioinformatics assessment

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liyuan Song ◽  
Xianhui Wang ◽  
Wang Cheng ◽  
Yi Wu ◽  
Min Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Molecular Markers ◽  
Cancer Patients ◽  
Targeted Therapies ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Clinicopathological Parameters ◽  
Cancer Specific Survival ◽  
Lung Cancer Patients ◽  
Favorable Prognosis

Abstract Background In recent years, immunotherapies and targeted therapies contribute to population-level improvement in NSCLC cancer-specific survival, however, the two novel therapeutic options have mainly benefit patients containing mutated driven genes. Thus, to explore other potential genes related with immunity or targeted therapies may provide novel options to improve survival of lung cancer patients without mutated driven genes. CTSF is unique in human cysteine proteinases. Presently, CTSF has been detected in several cell lines of lung cancer, but its role in progression and prognosis of lung cancer remains unclear. Methods CTSF expression and clinical datasets of lung cancer patients were obtained from GTEx, TIMER, CCLE, THPA, and TCGA, respectively. Association of CTSF expression with clinicopathological parameters and prognosis of lung cancer patients was analyzed using UALCAN and Kaplan–Meier Plotter, respectively. LinkedOmics were used to analyze correlation between CTSF and CTSF co-expressed genes. Protein–protein interaction and gene–gene interaction were analyzed using STRING and GeneMANIA, respectively. Association of CTSF with molecular markers of immune cells and immunomodulators was analyzed with Immunedeconv and TISIDB, respectively. Results CTSF expression was currently only available for patients with NSCLC. Compared to normal tissues, CTSF was downregulated in NSCLC samples and high expressed CTSF was correlated with favorable prognosis of NSCLC. Additionally, CTSF expression was correlated with that of immune cell molecular markers and immunomodulators both in LUAD and LUSC. Noticeably, high expression of CTSF-related CTLA-4 was found to be associated with better OS of LUAD patients. Increased expression of CTSF-related LAG-3 was related with poor prognosis of LUAD patients while there was no association between CTSF-related PD-1/PD-L1 and prognosis of LUAD patients. Moreover, increased expression of CTSF-related CD27 was related with poor prognosis of LUAD patients while favorable prognosis of LUSC patients. Conclusions CTSF might play an anti-tumor effect via regulating immune response of NSCLC.

Risk Factors, Prognosis and A New Nomogram for Predicting Cancer-Specific Survival Among Lung Cancer Patients with Brain Metastasis: A Retrospective Study Based on SEER

2021 ◽  
Author(s):  
Guihong Zhang ◽  
Yue Jiao Liu ◽  
Ming De Ji
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Prognostic Factors ◽  
Brain Metastasis ◽  
Cancer Patients ◽  
Primary Site ◽  
Histological Type ◽  
Extracranial Metastasis ◽  
Cancer Specific Survival ◽  
Lung Cancer Patients

Abstract Purpose: A comprehensive population-based study on risk and prognostic factors of lung cancer with brain metastasis is lacking. Methods: 95191 patients diagnosed with lung cancer between 2010 and 2017 were collected from the Surveillance, Epidemiology and End Results (SEER) database. Patients were stratified by different variables. Multivariable logistic and Cox regression were applied to analyze the risk and prognostic factors of brain metastasis among lung cancer patients, respectively. The Fine and Gray’s competing risk regression model was performed to obtain prognostic factors associated with cancer-specific mortality.Results: Among the 95191 patients diagnosed with lung cancer, 10765 patients have brain metastasis, with a metastatic incidence of 11.31%. The primary site of tumor, residence type, age, histological type, race and extracranial metastasis were all independent risk factors of brain metastasis. Compared with other histological types, small cell lung cancer displayed a highest incidence of brain metastasis (16.62%). The median overall survival (OS) among lung cancer patients with brain metastasis was only 6.05 months. The primary site of tumor, median household income, age, histological type, race, gender and extracranial metastasis were all associated with the prognosis of brain metastasis. Patients with squamous cell carcinoma had the worst prognosis, the median OS was only 3.68 months. And our established new nomogram showed a good discriminative ability on predicting the probability of cancer-specific survival among patients with brain metastasis, the C-index was 0.61.Conclusion: Our study provided a deeper insight into the risk factors and prognosis of brain metastasis among lung cancer patients.

Diagnostic and prognostic values of circular RNAs for lung cancer: a meta-analysis

2020 ◽  
pp. postgradmedj-2019-137178
Author(s):  
Qian Yang ◽  
Lizhen Chen ◽  
Li Yang ◽  
Yuanshuai Huang
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Cochrane Library ◽  
Clinicopathological Parameters ◽  
Circular Rnas ◽  
Lung Cancer Patients ◽  
Diagnostic Values

Circular RNAs (circRNAs) may serve as potential biomarkers for patients with lung cancer. The aim of this meta-analysis was to analyse the diagnostic, prognostic and clinicopathological values of circRNAs in lung cancer patients. A systematic search of PubMed, Embase, Web of Science, Scopus and the Cochrane Library databases was performed for relevant articles from inception to 29 January 2020. Pooled parameters including sensitivity, specificity and area under the curve (AUC) were used to assess the diagnostic performance, HRs and 95% CIs were used to evaluate overall survival (OS) and ORs were used to estimate clinicopathological parameters. 52 studies from 45 articles were enrolled in this study, including 17 on diagnosis and 35 on prognosis. For diagnostic values, circRNAs could discriminate lung cancer patients from the controls, with AUC of 0.83 (95% CI: 0.79 to 0.86), a relatively high sensitivity of 0.77 (95% CI: 0.73 to 0.81) and specificity of 0.75 (95% CI: 0.71 to 0.79). For prognostic significances, overexpression of 23 upregulated circRNAs was relevant to a poor prognosis (OS: HR=2.21, 95% CI: 1.96 to 2.49, p<0.001), and overexpression of 9 downregulated circRNAs was correlated with a favourable prognosis (OS: HR=0.62, 95% CI: 0.53 to 0.73, p<0.001). As for clinicopathological parameters, high expression of 23 upregulated circRNAs was associated with unfavourable clinicopathological features while 9 downregulated circRNAs proved the contrary. In conclusion, this study confirmed that circRNAs might serve as important biomarkers for diagnostic and prognostic values of lung cancer.

scholarly journals Glyceraldehyde-3-phosphate dehydrogenase gene over expression correlates with poor prognosis in non small cell lung cancer patients

2013 ◽  
Vol 12 (1) ◽  
pp. 97 ◽  
Author(s):  
Roberto Puzone ◽  
Graziana Savarino ◽  
Sandra Salvi ◽  
Maria Dal Bello ◽  
Giulia Barletta ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Poor Prognosis ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Over Expression ◽  
Dehydrogenase Gene
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