scholarly journals Concordance of PD-L1 Expression Detection in Non–Small Cell Lung Cancer (NSCLC) Tissue Biopsy Specimens Between OncoTect iO Lung Assay and Immunohistochemistry (IHC)

2018 ◽  
Vol 150 (4) ◽  
pp. 346-352 ◽  
Author(s):  
Stephen Young ◽  
Christen Griego-Fullbright ◽  
Aaron Wagner ◽  
Amanda Chargin ◽  
Bruce K Patterson ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Dna Content ◽  
Small Cell ◽  
Normal Lung ◽  
Small Cell Lung ◽  
Nsclc Tissue ◽  
Fresh Tissue ◽  
Percent Agreement

Abstract Objectives We report on the validity of a fully quantitative technology to determine tumor cells’ PD-L1 expression compared with a standard immunohistochemical (IHC) assay in non–small cell lung cancer. Methods Nineteen fresh tissue specimens were processed into single-cell suspensions using the IncellPREP Kit. Cells were treated with the OncoTect iO Lung Assay, which quantitatively assessed tumor-infiltrating lymphocytes (TILs), DNA content, and PD-L1 expression on diploid and aneuploid tumor populations. Results Comparison of the OncoTect iO Lung Assay with IHC revealed a concordance of 95% overall (negative percent agreement, 97%; positive percent agreement, 89%). PD-L1 expression varied depending on the DNA content. The number of TILs and antigen-presenting cells (APCs) was significantly decreased in tumor compared with normal lung tissue. Conclusions The nonsubjective OncoTect iO Lung Assay has been shown to be at least as accurate and sensitive as IHC for the detection of PD-L1 expression while providing additional information to guide treatment.

scholarly journals Prognostic significance of CD276 in non-small cell lung cancer

Open Medicine ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 805-812
Author(s):  
Changgong Zhang ◽  
Xuezhi Hao
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Expression Level ◽  
Normal Lung ◽  
Small Cell Lung ◽  
Nsclc Tissue ◽  
Normal Tissues ◽  
Nsclc Patients

AbstractBackgroundThe expression and significance of CD276 in non-small cell lung cancer (NSCLC) was explored.MethodThe BioGPS database was used to analyze the expression level of CD276 in normal tissues. Studies on the expression of CD276 in NSCLC patients using the Oncomine database. The prognostic roles of CD276 in NSCLC was studied using the Kaplan-Meier plotter database.ResultThe BioGPS database showed CD276 expression in all the human normal tissues. Compared with normal lung tissue, CD276 gene highly expressed in NSCLC tissue at mRNA level (P<0.05). The expression level of CD276 gene was negatively correlated with overall survival (OS) of NSCLC patients. Subgroup analysis showed that CD276 expression level had a significant effect on OS of patients with lung adenocarcinoma, while in squamous cell carcinoma its expression level had no significant effect on OS.ConclusionAccording to the information mined from the tumor gene database, CD276 mRNA was found highly expressed in NSCLC tissue and the expression of CD276 has a significant impact on survival of NSCLC patients, which provides an important theoretical basis for further study of the role of CD276 in the occurrence and development of NSCLC.

scholarly journals Downregulation of SIRT6 is associated with poor prognosis in patients with non-small cell lung cancer

2018 ◽  
Vol 46 (4) ◽  
pp. 1517-1527 ◽  
Author(s):  
Bojin Zhu ◽  
Yongjin Yan ◽  
Boyun Shao ◽  
Luwen Tian ◽  
Weihua Zhou
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Prognostic Significance ◽  
Small Cell ◽  
Normal Lung ◽  
Cancer Tissue ◽  
Small Cell Lung ◽  
Nsclc Tissue ◽  
Chinese Han

Objective To explore the prognostic significance of nicotinamide adenine dinucleotide (NAD)-dependent protein deacetylase sirtuin-6 (SIRT6), encoded by the sirtuin 6 ( SIRT6) gene, in a population of Chinese Han patients with non-small cell lung cancer (NSCLC). Methods Cancer tissues and normal lung tissues (>5 cm adjacent to cancer tissue) were collected from Chinese Han patients with NSCLC. Expression levels of SIRT6 and histone H3-acetyl K56 ( H3K56), in cancer and normal lung tissues from patients with NSCLC, were detected by reverse-transcription polymerase chain reaction, Western blot and immunohistochemistry. Correlations between SIRT6 expression and various clinicopathologic features were investigated. Results Out of 86 patients included in the study, mRNA and protein SIRT6 levels were down-regulated in NSCLC tissue versus normal lung tissue, and SIRT6 levels were inversely correlated with H3K56 levels. Positive rates of SIRT6 were significantly correlated with degree of cell differentiation, TNM stage, lymph node metastasis, overall survival and metastasis-free survival. Conclusion Downregulation of SIRT6 expression may promote NSCLC malignancy in the Chinese Han population. SIRT6 may be a potential therapeutic target in Chinese Han patients with NSCLC.

The Key microRNAs Regulated the Development of Non-small Cell Lung Cancer by Targeting TGF-β-induced epithelial–mesenchymal Transition

2019 ◽  
Vol 22 (4) ◽  
pp. 238-244 ◽  
Author(s):  
Gang Chen ◽  
Bo Ye
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lines ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Nsclc Cell ◽  
Normal Lung ◽  
Migration And Invasion ◽  
Small Cell Lung ◽  
Mesenchymal Transition

Purpose: Epithelial-to-Mesenchymal Transition (EMT) was reported to play a key role in the development of Non-Small Cell Lung Cancer (NSCLC). The process of EMT is regulated by the changes of miRNAs expression. However, it is still unknown which miRNA changed the most in the process of canceration and whether these changes played a role in tumor development. Methods: A total of 36 SCLC patients treated in our hospital between 11th, 2015 and 10th, 2017 were enrolled. The samples of cancer tissues and paracancer tissues of patients were collected and analyzed. Then, the miRNAs in normal lung cells and NSCLC cells were also analyzed. In the presence of TGF-β, we transfected the miRNA mimics or inhibitor into NSCLC cells to investigate the role of the significantly altered miRNAs in cell migration and invasion and in the process of EMT. Results: MiR-330-3p was significantly up-regulated in NSCLC cell lines and tissues and miRNA- 205 was significantly down-regulated in NSCLC cell lines and NSCLC tissues. Transfected miRNA-205 mimics or miRMA-330-3p inhibitor inhibited the migration and invasion of NCIH1975 cell and restrained TGF-β-induced EMT in NSCLC cells. Conclusion: miRNA-330-3p and miRNA-205 changed the most in the process of canceration in NSCLC. Furthermore, miR-330-3p promoted cell invasion and metastasis in NSCLC probably by promoting EMT and miR-205 could restrain NSCLC likely by suppressing EMT.

scholarly journals Kinesin superfamily protein 21B acts as an oncogene in non-small cell lung cancer

2020 ◽  
Author(s):  
Zhi-Gang Sun ◽  
Feng Pan ◽  
Jing-Bo Shao ◽  
Qian-Qian Yan ◽  
Lu Lu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Nude Mice ◽  
Cell Lung Cancer ◽  
A549 Cells ◽  
Small Cell ◽  
Normal Lung ◽  
Migration And Invasion ◽  
Small Cell Lung ◽  
Kinesin Superfamily

Abstract Background: Kinesin superfamily proteins (KIFs) serve as microtubule-dependent molecular motors, and are involved in the progression of many malignant tumors. In this study, we aimed to investigate the expression pattern and precise role of kinesin family member 21B (KIF21B) in non-small cell lung cancer (NSCLC). Methods: KIF21B expression in 72 cases of NSCLC tissues was measured by immunohistochemical staining (IHC). We used shRNA-KIF21B interference to silence KIF21B in NSCLC H1299 and A549 cells and normal lung epithelial bronchus BEAS-2B cells. The biological roles of KIF21B in the growth and metastasis abilities of NSCLC cells were measured by Cell Counting Kit-8 (CCK8), colony formation and Hoechst 33342/PI, wound-healing, and Transwell assays, respectively. Expression of apoptosis-related proteins was determined using western blot. The effect of KIF21B on tumor growth in vivo was examined using nude mice model. Results: KIF21B was up-regulated in NSCLC tissues, and correlated with pathological lymph node and pTNM stage, its high expression was predicted a poor prognosis of patients with NSCLC. Silencing of KIF21B mediated by lentivirus-delivered shRNA significantly inhibited the proliferation ability of H1299 and A549 cells. KIF21B knockdown increased apoptosis in H1299 and A549 cells, down-regulated the expression of Bcl-2 and up-regulated the expression of Bax and active Caspase 3. Moreover, KIF21B knockdown decreased the level of phosphorylated form of Akt (p-Akt) and Cyclin D1 expression in H1299 and A549 cells. In addition, silencing of KIF21B impeded the migration and invasion of H1299 and A549 cells. Further, silencing of KIF 21B dramatically inhibited xenograft growth in BALB/c nude mice. However, silencing of KIF21B did not affect the proliferation, migration and invasion of BEAS-2B cells.Conclusions: These results reveal that KIF21B is up-regulated in NSCLC and acts as an oncogene in the growth and metastasis of NSCLC, which may function as a potential therapeutic target and a prognostic biomarker for NSCLC.

B3GNT3 overexpression is associated with unfavourable survival in non-small cell lung cancer

2018 ◽  
Vol 71 (7) ◽  
pp. 642-647 ◽  
Author(s):  
Liuwei Gao ◽  
Hua Zhang ◽  
Bin Zhang ◽  
Jinfang Zhu ◽  
Chen Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Disease Free Survival ◽  
Small Cell ◽  
Clinicopathological Parameters ◽  
Small Cell Lung ◽  
Nsclc Tissue ◽  
Clinical Prognosis ◽  
Nsclc Patients

ObjectiveThe aim of this study was to evaluate the expression of beta-1,3-N-acetylglucosaminyltransferase-3 (B3GNT3) in non-small cell lung cancer (NSCLC) patients and to investigate the relevance of B3GNT3 expression in tumour prognosis.MethodsIn this study, B3GNT3 expression was examined in five pairs of resectable NSCLC tissue by Western blot and in 42 pairs of resectable NSCLC tissue by quantitative real-time PCR (qRT-PCR). Immunohistochemistry and statistical analysis were performed to assess the relationship between B3GNT3 expression scores and clinicopathological parameters, as well as clinical prognosis in a retrospective cohort of 176 NSCLC patients.ResultsBoth B3GNT3 mRNA and protein expression levels were significantly higher in NSCLC tissue than in adjacent normal tissue. In the 176 NSCLC cases, a high B3GNT3 expression level was positively correlated with lymph node metastasis (P<0.001) and advanced TNM stage (P=0.043). Kaplan-Meier analysis indicated that patients with high B3GNT3 expression had significantly lower disease-free survival (DFS) (P<0.001) and overall survival (OS) (P<0.001) than those with low B3GNT3 expression. Moreover, in the multivariate analyses, B3GNT3 expression was an independent prognostic factor for DFS (HR 0.329, 95% CI 0.213 to 0.508, P<0.001) and OS (HR 0.383, 95% CI 0.249 to 0.588, P<0.001).ConclusionsOur study demonstrated that high expression of B3GNT3 was associated with unfavourable DFS and OS in NSCLC patients, suggesting that B3GNT3 might be a potential prognostic biomarker for NSCLC.

scholarly journals Identification of Gene Biomarkers for Distinguishing Small-Cell Lung Cancer from Non-Small-Cell Lung Cancer Using a Network-Based Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fei Long ◽  
Jia-Hang Su ◽  
Bin Liang ◽  
Li-Li Su ◽  
Shu-Juan Jiang
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Patterns ◽  
Small Cell ◽  
Normal Lung ◽  
Specific Gene ◽  
Small Cell Lung ◽  
Cancer Subtypes ◽  
Gene Modules

Lung cancer consists of two main subtypes: small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) that are classified according to their physiological phenotypes. In this study, we have developed a network-based approach to identify molecular biomarkers that can distinguish SCLC from NSCLC. By identifying positive and negative coexpression gene pairs in normal lung tissues, SCLC, or NSCLC samples and using functional association information from the STRING network, we first construct a lung cancer-specific gene association network. From the network, we obtain gene modules in which genes are highly functionally associated with each other and are either positively or negatively coexpressed in the three conditions. Then, we identify gene modules that not only are differentially expressed between cancer and normal samples, but also show distinctive expression patterns between SCLC and NSCLC. Finally, we select genes inside those modules with discriminating coexpression patterns between the two lung cancer subtypes and predict them as candidate biomarkers that are of diagnostic use.

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