scholarly journals Lymph node metastasis in lung squamous cell carcinoma and identification of metastasis‐related genes based on the Cancer Genome Atlas

2019 ◽  
Vol 8 (14) ◽  
pp. 6280-6294 ◽  
Author(s):  
Ming Dong ◽  
Hao Gong ◽  
Tong Li ◽  
Xin Li ◽  
Jinghao Liu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
The Cancer Genome Atlas ◽  
Node Metastasis ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Risk factors of lymph node metastasis in lung squamous cell carcinoma of 3 cm or less in diameter

Medicine ◽  
2017 ◽  
Vol 96 (29) ◽  
pp. e7563 ◽  
Author(s):  
Lijian Huang ◽  
Wenshan Li ◽  
Lufeng Zhao ◽  
Baizhou Li ◽  
Ying Chai
Keyword(s):  
Risk Factors ◽  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Node Metastasis

Clinical significance of FAP-α on microvessel and lymphatic vessel density in lung squamous cell carcinoma

2018 ◽  
Vol 71 (8) ◽  
pp. 721-728 ◽  
Author(s):  
Ling Chen ◽  
Meihui Chen ◽  
Zenglei Han ◽  
Fengxing Jiang ◽  
Chunyuan Xu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lymphatic Vessel ◽  
Lung Squamous Cell Carcinoma ◽  
Vessel Density ◽  
Lymphatic Vessel Density ◽  
Node Metastasis

AimsWe aimed to determine whether cancer-associated fibroblasts (CAFs) are associated with microvessel density (MVD) and lymphatic vessel density (LVD) in lung squamous cell carcinoma, as well as their clinical significance in predicting survival.Methods122 patients were enrolled in the study. Samples were obtained on resection at the Department of Thoracic Surgery of the Qingdao Municipal Hospital between January 2011 and December 2014. Immunohistochemistry was used to determine vessel and lymphatic vessel density, and CAF abundance (fibroblast activation protein α (FAP-α) positivity). Statistical analyses were performed on 85 patients to test for correlation of CAF density and other clinicopathological variables with 3-year overall survival (OS) and disease-free survival (DFS).ResultsHigh stromal CAF abundance significantly correlated with increased MVD and LVD in lung squamous cell carcinoma (p<0.05). χ2 test revealed a significant association of CAF density with lymph node metastasis. Cox proportional hazards model showed that both higher CAF density and lymph node metastasis negatively correlate with survival. CAF density or lymph node status can be used as an independent prognostic factor to predict 3-year OS and DFS.ConclusionsCAF density, identified by FAP-α staining pattern, should be considered as a novel biomarker for disease prognosis in patients with lung squamous cell carcinoma.

A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma

2020 ◽  
Vol 14 (1) ◽  
pp. 53-63
Author(s):  
Shuai Li ◽  
Yue Teng ◽  
Min-Jie Yuan ◽  
Ting-Ting Ma ◽  
Jian Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Noncoding Rna ◽  
Lung Squamous Cell Carcinoma ◽  
Mapk Signaling ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Aim: This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data. Materials & methods: The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed. Results: There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways. Conclusion: This seven-lncRNA signature is useful to predict LSCC OS.

scholarly journals Development and Validation of a Gene-panel-based Nomogram for Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma

2020 ◽  
Author(s):  
Xuejie Wu ◽  
Donglai Chen ◽  
Wenjia Wang ◽  
Fei Ye ◽  
Yonghua Sang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Clinical Characteristics ◽  
Gene Panel ◽  
The Cancer Genome Atlas ◽  
Node Metastasis

Abstract Background: Esophageal squamous cell carcinoma (ESCC) is one of the main histological subtypes of esophageal cancer. This study aimed to develop a gene-panel-based nomogram for identification of lymph node metastasis (LNM) in ESCC patients.Methods: RNA sequencing profiles of ESCC patients were obtained from the Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA) database. A bioinformatic approach was employed to investigate differentially expressed genes (DEGs) between ESCC patients with LNM and those without. A 4-DEGs panel was eventually identified and integrated with clinical characteristics to construct a nomogram for predicting LNM. Predictive performance of the nomogram was further evaluated by calibration curves and concordance index (C-index). Results: A total of 179 ESCC patients with 32059 genes from the GEO dataset were included. Among these genes, 3524 DEGs were correlated with lymph node involvement. Meanwhile, TCGA dataset containing 93 ESCC patients was obtained, in which 82 DEGs were selected out of 18416 genes. Among the 11 communal DEGs, four genes were identified to be (ALG3, CPOX, LMLN, PSMD2) associated with LNM. A nomogram was established by integrating the four-gene panel and three clinical characteristics including T stage, G stage and tumor location. The nomogram exhibited good performance with C-indices of 0.710 and 0.693 in the GEO and TCGA datasets, respectively. Conclusion: Our novel 4-gene-based nomogram displayed its value in prediction of LNM in ESCC patients, which may be helpful in determining treatment approach for early-stage ESCC patients.

scholarly journals Diagnosis value of aberrantly expressed microRNA profiles in lung squamous cell carcinoma: a study based on the Cancer Genome Atlas

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e4101 ◽  
Author(s):  
Sheng Yang ◽  
Jing Sui ◽  
Geyu Liang
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Bioinformatics Analysis ◽  
Lung Squamous Cell Carcinoma ◽  
Clinical Information ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Background Lung cancer is considered as one of the most frequent and deadly cancers with high mortality all around the world. It is critical to find new biomarkers for early diagnosis of lung cancer, especially lung squamous cell carcinoma (LUSC). The Cancer Genome Atlas (TCGA) is a database which provides both cancer and clinical information. This study is a comprehensive analysis of a novel diagnostic biomarker for LUSC, based on TCGA. Methods and Results The present study investigated LUSC-specific key microRNAs (miRNAs) from large-scale samples in TCGA. According to exclusion criteria and inclusion criteria, the expression profiles of miRNAs with related clinical information of 332 LUSC patients were obtained. Most aberrantly expressed miRNAs were identified between tumor and normal samples. Forty-two LUSC-specific intersection miRNAs (fold change >2, p < 0.05) were obtained by an integrative computational method, among them six miRNAs were found to be aberrantly expressed concerning characteristics of patients (gender, lymphatic metastasis, patient outcome assessment) through Student t-test. Five miRNAs correlated with overall survival (log-rank p < 0.05) were obtained through the univariate Cox proportional hazards regression model and Mantel–Haenszel test. Then, five miRNAs were randomly selected to validate the expression in 47 LUSC patient tissues using quantitative real-time polymerase chain reaction. The results showed that the test findings were consistent with the TCGA findings. Also, the diagnostic value of the specific key miRNAs was determined by areas under receiver operating characteristic curves. Finally, 577 interaction mRNAs as the targets of 42 LUSC-specific intersection miRNAs were selected for further bioinformatics analysis. Conclusion This study indicates that this novel microRNA expression signature may be a useful biomarker of the diagnosis for LUSC patients, based on bioinformatics analysis.

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