scholarly journals Differential expression profile of lung squamous cell carcinoma (LSCC) and druggable targets to be combined with necitumumab (N)

2016 ◽  
Vol 27 ◽  
pp. vi528
Author(s):  
A. Verlicchi ◽  
C. Lazzari ◽  
C. Codony Servat ◽  
M.A. Molina Vila ◽  
J. Codony Servat ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Expression Profile ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Differential Expression Profile ◽  
Druggable Targets

Prognostic significance of eight immune-related genes on survival in patients with lung squamous cell carcinoma

2021 ◽  
Vol 15 (4) ◽  
pp. 295-306
Author(s):  
Hansheng Wu ◽  
Shujie Huang ◽  
Weitao Zhuang ◽  
Guibin Qiao
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Risk Groups ◽  
Related Gene ◽  
Immune Related Gene ◽  
Immune Related Genes

Aim: To build a valid prognostic model based on immune-related genes for lung squamous cell carcinoma (LUSC). Materials & methods: Differential expression of immune-related genes between LUSC and normal specimens from TCGA dataset and underlying molecular mechanisms were systematically analyzed. Constructing and validating the high-risk and low-risk groups for LUSC survival. Results: The immune-related gene-based prognostic index (IRGPI) could predict the overall survival in patients with different clinicopathological characteristics. Functional enrichment analysis of differential expression of immune-related gene signature indicated distinctive molecular pathways between high-risk and low-risk groups. Conclusion: Analysis of IRGs in LUSC enable us to stratify patients into distinct risk groups, which may help to screen LUSC patients at risk and decision making on follow-up therapeutic intervention.

scholarly journals Identifying Prognostic Lncrnas Based on A ceRNA Regulatory Network in Laryngeal Squamous Cell Carcinoma

2021 ◽  
Author(s):  
Yong Shi ◽  
Dongli Yang ◽  
Yixiao Qin
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Squamous Cell ◽  
Regulatory Network ◽  
Laryngeal Squamous Cell Carcinoma ◽  
R Package ◽  
Cerna Network ◽  
Prognosis Model ◽  
Differential Expression Profile

Abstract Purpose Growing evidence demonstrates that long non-coding RNAs (lncRNAs) play a crucial role as competing endogenous RNAs (ceRNAs) in tumor occurrence. The lncRNAs' function and clinical significance in laryngeal squamous cell carcinoma (LSCC) remain unclear. The study aims to reveal the lncRNA-associated ceRNA regulatory network in LSCC and clarify its clinical relevance.Methods Here, we obtained LSCC transcriptome sequencing data from The Cancer Genome Atlas (TCGA) database and identified the differential expression profile of lncRNAs, miRNAs, and mRNAs by the EdgeR R package. The function enrichment analysis of mRNAs was performed using clusterProfiler R package and GSEA3.0. Then, we constructed a ceRNA network and a prognosis model based on lncRNAs through bioinformatic methods. Moreover, we explored the functions of prognosis-related lncRNA in LSCC by CCK-8 and transwell assay. Results 1961 lncRNAs, 69 miRNAs, and 2224 mRNAs were identified as differentially expressed genes in LSCC tissues. According to the transcriptome differential expression profile, a ceRNA network containing 61 lncRNAs, 21 miRNAs, and 77 mRNAs was established. Then, four lncRNAs (AC011933.2, FAM30A, LINC02086, LINC02575) were extracted from the ceRNA network to build a prognosis model for LSCC patients. Furthermore, we found that LINC02086 and LINC02575 promoted the proliferation, migration, and invasion of LSCC cells while AC011933.2 and FAM30A inhibited these biological functions in vitro. Conclusion Four lncRNAs from the ceRNA network were abnormally expressed and related to patient prognosis in LSCC. They played a significant role in the progress of LSCC via affecting the proliferation and metastasis of tumor cells.

scholarly journals Circular RNA expression profile of lung squamous cell carcinoma: identification of potential biomarkers and therapeutic targets

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
Yawei Wang ◽  
Haiyan Zhang ◽  
Jian Wang ◽  
Bei Li ◽  
Xiuwen Wang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Expression Profile ◽  
Squamous Cell ◽  
High Throughput Sequencing ◽  
Expression Profiles ◽  
Lung Squamous Cell Carcinoma ◽  
Circular Rnas ◽  
Diagnostic Biomarkers ◽  
Diagnostic Potential

Abstract Emerging evidences indicated that exosomal circular RNAs (circRNAs) could serve as diagnostic biomarkers for cancers. However, the expression profiles and clinical significance of circRNAs in lung squamous cell carcinoma (LUSC) remain largely unknown. Herein, we analyzed circRNAs expression profile in six pairs of plasma exosome samples of LUSC patients using high-throughput sequencing. A total of 252 differentially expressed exosomal circRNAs were identified, including 133 up-regulated circRNAs and 119 down-regulated circRNAs. Subsequently, the circRNAs–miRNAs–mRNAs interaction network was built to investigate potential function of circRNAs. Three up-regulated circRNAs (hsa_circ_0014235, hsa_circ_0025580 and hsa_circ_0026403) were implied to participate in cancer-related pathways. QRT-PCR experiment confirmed the up-regulation of hsa_circ_0014235 and hsa_circ_0025580. Finally, clinical studies indicated that hsa_circ_0014235 and hsa_circ_0025580 could serve as novel diagnostic biomarkers for LUSC. Taken together, our study revealed exosomal circRNAs expression profile in LUSC for the first time and showed the important diagnostic potential for circRNAs in LUSC.

scholarly journals Hsa-mir-210 as a novel signature predicts survival in lung squamous cell carcinoma using bioinformatics analysis

2019 ◽  
Author(s):  
Yu Liu ◽  
Yu Chen ◽  
Ling-Ling Li ◽  
Shen-Nan Wang ◽  
Shu Xia
Keyword(s):  
Squamous Cell Carcinoma ◽  
Survival Analysis ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Signaling Pathway ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Functional Enrichment ◽  
Geo Database

AbstractIn recent years, more and more studies have shown that the expression of miRNAs is closely related to the occurrence of tumors and plays an irreplaceable role in the development and metastasis of tumors. The research was focused on lung squamous cell carcinoma. The data information is downloaded from the TCGA database and analyzed for variance, which is then verified in the GEO database. Then differential expression of miRNAs was found and survival analysis was performed, through the cut – off standard(P<0.05,|logFC|≥2), we screen the 38 up-regulated miRNAs and 14 down-regulated miRNAs from the TCGA. Finally, after the verification on the GEO database, four up-regulated miRNAs (hsa-mir-205, hsa-mir-210, hsa-mir-182, hsa-mir-224) and one down-regulated miRNA (hsa-mir-451) were obtained, which provide a new direction for the diagnosis of lung squamous cell carcinoma. In the survival analysis, it was found that the expression state of hsamir-210 was significantly correlated with patient survival. The results in the univariate and multivariate Cox analysis indicated that hsa-mir-210 was an independent prognostic factor on lung squamous cell carcinoma. The functional enrichment analysis showed that hsa-mir-210 was closely related to positive and negative regulation of cell proliferation, DNA transcription, VEGF signaling pathway, MAPK signaling pathway, hif-1 signaling pathway and choline metabolic pathway. In summary, this study suggested that hsa-mir-210 could be a potential prognostic factor for lung squamous cell carcinoma.Author SummaryMicroRNAs are single-stranded small molecular RNA that participate in the regulation of various biological functions through indirect regulation of gene expression, and have been reported to play an important role in the occurrence, development, invasion and metastasis of tumors. In recent years, the research on miRNAs has become increasingly hot, and the role of miRNAs in tumor has been proved more and more. The subjects of this study were squamous cell carcinoma in lung cancer with relatively few studies on miRNAs. Through high-throughput data analysis, miRNAs with differential expression between lung squamous cell carcinoma tissues and normal tissues were found. These differentially expressed miRNAs provide a new direction for the early diagnosis of patients. Then, survival analysis was conducted to find the miRNAs significantly correlated with the total survival time of patients, and multi-factor analysis was conducted to exclude the influence of other clinical factors, and independent risk factors (miRNAs) affecting the survival of patients were determined, so as to provide new targets for the treatment and survival prediction of patients.

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