Prediction of Lymph Node Metastasis by Analysis of Gene Expression Profiles in Primary Lung Adenocarcinomas

Abstract In stage III colorectal cancer, patients with N1 stage tumors show poorer outcome than patients with N2 stage tumors. Our objective was to identify genes that are predictive for the presence of lymph node metastasis, and to characterize the aggressiveness of lymph node metastases. Gene expression profiles of colorectal cancer were determined by microarray in training (n = 116) and test (n = 25) sets of patients. We identified 40 discriminating probes in patients with and without lymph node metastases. Using these probes, we could predict the presence of lymph node metastasis with an accuracy of 87.1% (training set) and 76.0% (test set). Among discriminating probes, FOXC2 expression was significantly correlated with the degree of lymph node metastasis. FOXC2 was expressed significantly and disparately in patients with N1 and N2 stage tumors as analyzed by real-time reverse transcriptase–polymerase chain reaction. FOXC2 appears to be involved in determining the aggressiveness of lymph node metastasis in colorectal cancer.

Download Full-text

Maintenance of Head and Neck Tumor Gene Expression Profiles upon Lymph Node Metastasis

Cancer Research ◽

10.1158/0008-5472.can-06-3161 ◽

2006 ◽

Vol 66 (23) ◽

pp. 11110-11114 ◽

Cited By ~ 48

Author(s):

Paul Roepman ◽

Alike de Jager ◽

Marian J.A. Groot Koerkamp ◽

J. Alain Kummer ◽

Piet J. Slootweg ◽

...

Keyword(s):

Gene Expression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Head And Neck ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Head And Neck Tumor ◽

Node Metastasis ◽

Tumor Gene Expression ◽

Tumor Gene

Download Full-text

Esophageal squamous cell carcinomas with distinct invasive depth show different gene expression profiles associated with lymph node metastasis

International Journal of Oncology ◽

10.3892/ijo.28.5.1043 ◽

2006 ◽

Author(s):

Tomomitu Sato ◽

Norio Iizuka ◽

Yoshihiko Hamamoto ◽

Shigefumi Yoshino ◽

Toshihiro Abe ◽

...

Keyword(s):

Gene Expression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Squamous Cell ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Squamous Cell Carcinomas ◽

Node Metastasis ◽

Esophageal Squamous Cell Carcinomas

Download Full-text

Gene expression profiles in human gastric cancer: expression of maspin correlates with lymph node metastasis

British Journal of Cancer ◽

10.1038/sj.bjc.6602429 ◽

2005 ◽

Vol 92 (6) ◽

pp. 1130-1136 ◽

Cited By ~ 33

Author(s):

M Terashima ◽

C Maesawa ◽

K Oyama ◽

S Ohtani ◽

Y Akiyama ◽

...

Keyword(s):

Gene Expression ◽

Gastric Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Human Gastric Cancer ◽

Node Metastasis

Download Full-text

Gene Expression Profiles for Recurrence of Lymph Node-positive Primary Breast Cancer in Women Over 40 Years of Age

10.21203/rs.3.rs-880067/v1 ◽

2021 ◽

Author(s):

Sean Si Qian Ma ◽

Luyi Ye ◽

Fan Zhang ◽

Tiansheng Xu ◽

Zai-Si Ji ◽

...

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Lymph Node ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Olfactory Receptors ◽

Specific Gene ◽

Node Metastasis ◽

Genes Encoding ◽

Ffpe Samples

Abstract Background: Specific gene expression profiles correlate with recurrence of breast cancer in lymph node-negative patients. In contrast, insufficient knowledge is available regarding tumor-specific gene expression in patients with lymph node metastasis before surgery. Furthermore, such patients experience cumulative incidences of relapse greater than 50%. Methods: Sections of formalin-fixed paraffin embedded (FFPE) were prepared from breast tumors of 37 patients who were followed for at least 5 years. FFPE samples of patients with recurrent ductal breast cancer (n = 25) and 12 FFPE samples of such patients without recurrence were subjected to microarray analysis to identify gene expression profiles specifically associated with positive lymph nodes confirmed during surgery that were accompanied by lymphocytic invasion. Immunohistochemistry was employed to determine the estrogen receptor (ER) status of cancer tissues. All patients were administered tamoxifen after surgery, and this treatment continued for more than 5 years, or until cancer recurred. This strategy eliminated interactions between different therapeutics as potential confounding factors that influenced patients' outcomes.Results: Sixteen genes were expressed at significantly higher levels in patients with ER-positive (+) breast cancer with recurrence compared with those without recurrence. Gene Set Enrichment Analysis of The Kyoto Encyclopedia of Genes and Genomes (KEGG) identified 73 genes encoding olfactory receptors included in the “Olfactory transduction” pathway that were enriched in the ER+ recurrence group (FDR P < 0.05). The KEGG “Histidine metabolism” and “Retinol metabolism” pathways were enriched in patients with ER-negative (–) breast cancer with recurrence (FDR P < 0.05). Conclusions: The present study is the first, to our knowledge, to identify 16 genes encoding proteins with diverse functions as well as 73 genes encoding olfactory receptors. These genes may serve as presurgical biomarkers for the recurrence of ER+ breast cancers with lymph node metastasis before surgery. These findings identify potential therapeutic targets for preventing cancer relapse, particularly after lymph nodes metastasis.

Download Full-text

Identification of the miRNA signature and key genes in colorectal cancer lymph node metastasis

Cancer Cell International ◽

10.1186/s12935-021-02058-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xi Wang ◽

Guangyu Gao ◽

Zhengrong Chen ◽

Zhihao Chen ◽

Mingxiao Han ◽

...

Keyword(s):

Gene Expression ◽

Colorectal Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Expression Profiles ◽

Bioinformatic Analysis ◽

The Cancer Genome Atlas ◽

Node Metastasis ◽

Novel Mirna ◽

Potential Biomarker

Abstract Background Because its metastasis to the lymph nodes are closely related to poor prognosis, miRNAs and mRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of colorectal cancer (CRC). This study aimed to identify novel gene signatures in the lymph node metastasis of CRC. Methods GSE56350, GSE70574, and GSE95109 datasets were downloaded from the Gene Expression Omnibus (GEO) database, while data from 569 colorectal cancer cases were also downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed miRNAs (DE-miRNAs) were calculated using R programming language (Version 3.6.3), while gene ontology and enrichment analysis of target mRNAs were performed using FunRich (http://www.funrich.org). Furthermore, the mRNA–miRNA network was constructed using Cytoscape software (Version 3.8.0). Gene expression levels were verified using the GEO datasets. Similarly, quantitative real-time PCR (qPCR) was used to examine expression profiles from 20 paired non-metastatic and metastatic lymph node tissue samples obtained from patients with CRC. Results In total, five DE-miRNAs were selected, and 34 mRNAs were identified after filtering the results. Moreover, two key miRNAs (hsa-miR-99a, hsa-miR-100) and one gene (heparan sulfate-glucosamine 3-sulfotransferase 2 [HS3ST2]) were identified. The GEO datasets analysis and qPCR results showed that the expression of key miRNA and genes were consistent with that obtained from the bioinformatic analysis. A novel miRNA–mRNA network capable of predicting the prognosis and confirmed experimentally, hsa-miR-99a-HS3ST2-hsa-miR-100, was found after expression analysis in metastasized lymph node tissue from CRC samples. Conclusion In summary, miRNAs and genes with potential as biomarkers were found and a novel miRNA–mRNA network was established for CRC lymph node metastasis by systematic bioinformatic analysis and experimental validation. This network may be used as a potential biomarker in the development of lymph node metastatic CRC.

Download Full-text

O53. Multicenter validation of a lymph node metastasis gene expression signature for head and neck squamous cell carcinomas

Oral Oncology ◽

10.1016/j.oraloncology.2011.06.164 ◽

2011 ◽

Vol 47 ◽

pp. S46

Author(s):

F.K.J. Leusink ◽

P.J. Slootweg ◽

M.W.M. van den Brekel ◽

R.J. Baatenburg de Jong ◽

F.C.P. Holstege ◽

...

Keyword(s):

Gene Expression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Head And Neck ◽

Squamous Cell ◽

Gene Expression Signature ◽

Squamous Cell Carcinomas ◽

Expression Signature ◽

Node Metastasis ◽

Multicenter Validation

Download Full-text

Increased Expression of VANGL1 is Predictive of Lymph Node Metastasis in Colorectal Cancer: Results from a 20-Gene Expression Signature

Journal of Personalized Medicine ◽

10.3390/jpm11020126 ◽

2021 ◽

Vol 11 (2) ◽

pp. 126

Author(s):

Noshad Peyravian ◽

Stefania Nobili ◽

Zahra Pezeshkian ◽

Meysam Olfatifar ◽

Afshin Moradi ◽

...

Keyword(s):

Gene Expression ◽

Colorectal Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Candidate Genes ◽

Case Series ◽

Gene Expression Signature ◽

Gene Panel ◽

Expression Levels ◽

Node Metastasis

This study aimed at building a prognostic signature based on a candidate gene panel whose expression may be associated with lymph node metastasis (LNM), thus potentially able to predict colorectal cancer (CRC) progression and patient survival. The mRNA expression levels of 20 candidate genes were evaluated by RT-qPCR in cancer and normal mucosa formalin-fixed paraffin-embedded (FFPE) tissues of CRC patients. Receiver operating characteristic curves were used to evaluate the prognosis performance of our model by calculating the area under the curve (AUC) values corresponding to stage and metastasis. A total of 100 FFPE primary tumor tissues from stage I–IV CRC patients were collected and analyzed. Among the 20 candidate genes we studied, only the expression levels of VANGL1 significantly varied between patients with and without LNMs (p = 0.02). Additionally, the AUC value of the 20-gene panel was found to have the highest predictive performance (i.e., AUC = 79.84%) for LNMs compared with that of two subpanels including 5 and 10 genes. According to our results, VANGL1 gene expression levels are able to estimate LNMs in different stages of CRC. After a proper validation in a wider case series, the evaluation of VANGL1 gene expression and that of the 20-gene panel signature could help in the future in the prediction of CRC progression.

Download Full-text