Identification of differentially expressed genes between primary lung cancer and lymph node metastasis via bioinformatic analysis

AbstractIntroductionAxillary nodal metastasis is related to poor prognosis in breast cancer (BC). The metastatic progression in BC is related to molecular signatures. The currently popular methods to evaluate nodal status may give false negatives or give rise to secondary complications. In this study, key candidate genes in BC lymph node metastasis have been identified from publicly available microarray datasets and their roles in BC have been explored through survival analysis and target prediction.MethodsGene Expression Omnibus datasets have been analyzed for differentially expressed genes (DEGs) in lymph node-positive BC patients compared to nodal-negative and healthy tissues. The functional enrichment analysis was done in database for annotation, visualization and integrated discovery (DAVID). Protein-protein interaction (PPI) network was constructed in Search Tool for the Retrieval of Interacting Genes and proteins (STRING) and visualized on Cytoscape. The candidate hub genes were identified and their expression analyzed for overall survival (OS) in Gene Expression Profiling Interactive Analysis (GEPIA). The target miRNA and transcription factors were analyzed through miRNet.ResultsA total of 102 overlapping DEGs were found. Gene Ontology revealed eleven, seventeen, and three significant terms for cellular component, biological process, and molecular function respectively. Six candidate genes, DSC3, KRT5, KRT6B, KRT17, KRT81, and SERPINB5 were significantly associated with nodal metastasis and OS in BC patients. A total of 83 targeting miRNA were identified through miRNet and hsa-miR-155-5p was found to be the most significant miRNA which was targeting five out of six hub genes.ConclusionIn-silico survival and expression analyses revealed six candidate genes and 83 miRNAs, which may be potential diagnostic markers and therapeutic targets in BC patients and miR-155-5p shows promise as it targeted five important hub genes related to lymph-node metastasis.

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The Consensus To Evaluate Mediastinal Lymph Node Metastasis In Primary Lung Cancer With Integrated FDG PET/CT

10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a3069 ◽

2011 ◽

Author(s):

Eiji Nakajima ◽

Yoshinori Sakata ◽

Hisashi Saji ◽

Yasufumi Kato ◽

Yasuhiro Suga ◽

...

Keyword(s):

Lung Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Fdg Pet ◽

Mediastinal Lymph Node ◽

Primary Lung Cancer ◽

Mediastinal Lymph Node Metastasis ◽

Node Metastasis ◽

Pet Ct ◽

Fdg Pet Ct

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The Pilot Study of Spectral CT for the Diagnosis of Mediastinal Lymph Node Metastasis in Primary Lung Cancer

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2019.2701 ◽

2019 ◽

Vol 9 (6) ◽

pp. 1076-1079

Author(s):

Xiao-Tong Chi ◽

Nian-Qiang Bai ◽

Ming-Ying Li ◽

Kai Deng ◽

Guang-Li Wang

Keyword(s):

Lung Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Spectral Curve ◽

Mediastinal Lymph Node ◽

Primary Lung Cancer ◽

Mediastinal Lymph Node Metastasis ◽

Spectral Ct ◽

Node Metastasis ◽

Significant Difference

Objective: To investigate the application value of spectral CT for the diagnosis of mediastinal lymph node metastasis in primary lung cancer. Materials and Methods: 32 patients who had primary lung cancer with 90 enlarged mediastinal lymph nodes underwent spectral CT by using gemstone spectral imaging (GSI) mode. The spectral curves of regions of interest (ROI) in primary lung cancer and mediastinal lymph nodes were measured with GSI post-processing software. The spectral curve slope between 40 and 140 keV was calculated and compared between them for the diagnosis of mediastinal lymph node metastasis. The data were divided into metastatic group (group A) and non-metastatic group (group B) according to the pathologic findings. SPSS17.0 software with paired sample t test was used for statistical analysis and P < 0.05 was considered statistically significant difference. Results: The spectral curve slopes in primary lung cancer and mediastinal lymph node in group B were 0.96 ± 0.13 and 1.32 ± 0.17. There was significant difference between them (t = –2.68, P < 0.05). While there was no significant difference between them in group A (t = –1.62, P > 0.05) with the values of 1.06 ± 0.09 and 1.09 ± 0.12. The accuracy, sensitivity and specificity of diagnosing mediastinal lymph node metastasis were 84.21%, 86.67% and 82.77%, respectively in line with spectral curve. Conclusions: Spectral CT, as a new and non-invasive method, has valuable effect for the diagnosis of mediastinal lymph node metastasis in pre-operative staging of lung cancer.

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