Proteomics analysis of human serum of patients with non‐small‐cell lung cancer reveals proteins as diagnostic biomarker candidates

2019 ◽  
Vol 234 (12) ◽  
pp. 23798-23806 ◽  
Author(s):  
Mariarosaria Boccellino ◽  
Federica Pinto ◽  
Vincenzo Ieluzzi ◽  
Alfonso Giovane ◽  
Lucio Quagliuolo ◽  
...  
Author(s):  
Jun Lu ◽  
Wei Zhang ◽  
Lele Zhang ◽  
Yuqing Lou ◽  
Ping Gu ◽  
...  

Abstract Background Anlotinib has been demonstrated to be effective in advanced non-small cell lung cancer (NSCLC) patients. The underlying value of proteomics for anlotinib study remains unclear. Methods In this study, plasma samples from 28 anlotinib-treated NSCLC patients (including 14 responders and 14 non-responders) were performed proteomics analysis. LC-MS/MS analysis was performed on those samples with different time points including baseline, best response and progression disease. Bioinformatics analysis was performed to understand the underlying value of those differential proteins. Results Proteomics analysis suggested the differential proteins from responders after anlotinib administration potential play a role in the molecular mechanism characterization and biomarker screening. The differential proteins between responders and non-responders at baseline mainly contribute to biomarker screening. Integrative analysis indicated 43 proteins could be used as underlying biomarkers for clinical practice. Lastly, we selected ARHGDIB and demonstrated that it has potential predictive value for anlotinib. Conclusions This study not only offered the first insight that the proteomic technology potentially be used for anlotinib molecular mechanism characterization, but also provided a basis for anlotinb biomarker screening via proteomics in the future.


PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e60134 ◽  
Author(s):  
Julien Mazières ◽  
Caroline Catherinne ◽  
Olivier Delfour ◽  
Sandrine Gouin ◽  
Isabelle Rouquette ◽  
...  

Medicine ◽  
2019 ◽  
Vol 98 (50) ◽  
pp. e17814 ◽  
Author(s):  
Yuanwu Zou ◽  
Chengbao Jing ◽  
Li Liu ◽  
Ting Wang

2020 ◽  
Vol 29 (4) ◽  
pp. 441-451 ◽  
Author(s):  
Qian Yang ◽  
Shan Kong ◽  
Ming Zheng ◽  
Yuelan Hong ◽  
Jing Sun ◽  
...  

BACKGROUND: Long intergenic non-coding RNA (lincRNA) belongs to a special type of RNA that is unable to encode proteins but has been proved to play a role in gene regulation and differentially expressed in various malignant tumors. OBJECTIVE: In this study, we aimed to identify whether lincRNA LINC00173 was differentially expressed in non-small-cell lung cancer (NSCLC) and whether it could serve as a potential diagnostic biomarker. METHODS: The quantification real-time quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of LINC00173 in serum and cultured cells. For large sample analysis, the lncRNA expression matrix in TCGA database were generated via R software. To evaluate the diagnostic performance of serum LINC00173, the receiver operating characteristic (ROC) curve was used. RESULTS: The qRT-PCR analysis showed that the serum LINC00173 expression level in 108 NSCLC patients was higher than that in 91 healthy donors and 55 patients with benign pulmonary disease (BPD). And the area under the curve (AUC) of serum LINC00173 was 0.809 for the diagnosis of NSCLC (95% CI: 0.750–0.868, p< 0.001), 0.670 for BPD (95% CI: 0.584–0.756, P< 0.001), and 0.730 for small-cell lung cancer (SCLC, 95% CI: 0.636–0.825, P< 0.001). Besides, we established a diagnostic model of combined detection of LINC00173, CEA and Cyfra21-1, and found that combined detection of these indicators significantly improved the diagnostic efficiency. Analysis of the Clinicopathological parameters showed that high LINC00173 expression was correlated with histological typing of tumor, tumor metastasis and serum Cyfra21-1 levels. In addition, serum LINC00173 expression decreased in patients who received chemotherapy and rebound in recurrent NSCLC patients. CONCLUSION: Serum LINC00173 may prove to be a potential non-invasive auxiliary diagnostic biomarker for NSCLC patients.


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