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Identification of genes and pathways related to lymphovascular invasion in breast cancer patients: A bioinformatics analysis of gene expression profiles.

Abstract Surgery is the most effective treatment for breast cancer patients. However, some patients developed recurrence and distant metastasis after surgery. Adjuvant therapy is considered for high-risk patients depending on several prognostic markers, and lymphovascular invasion has become one of such prognostic markers that help physicians to identify the risk for distant metastasis and recurrence. However, the mechanism of lymphovascular invasion in breast cancer remains unknown. This study aims to unveil the genes and pathways that may involve in lymphovascular invasion in breast cancer. In total, 108 breast cancer samples were collected during surgery and microarray analysis was performed. Significance analysis of the microarrays and limma package for R were used to examine differentially expressed genes between lymphovascular invasion-positive and lymphovascular invasion-negative cases. Network and pathway analyses were mapped using the Ingenuity Pathway Analysis and the Database for Annotation, Visualization and Integrated Discovery. In total, 86 differentially expressed genes, including 37 downregulated genes and 49 upregulated genes were identified in lymphovascular invasion-positive patients. Among these genes, TNFSF11, IL6ST, and EPAS1 play important roles in cytokine-receptor interaction, which is the most enriched pathway related to lymphovascular invasion. Moreover, the results also suggested that an imbalance between extracellular matrix components and tumor micro-environment could induce lymphovascular invasion. Our study evaluated the underlying mechanisms of lymphovascular invasion, which may further help to assess the risk of breast cancer progression and identify potential targets of adjuvant treatment.
PMID
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Authors

Mayor MeshTerms
Keywords

Breast cancer

bioinformatics analysis

cytokine interaction pathway

lymphovascular invasion

microarray analysis

Journal Title tumour biology : the journal of the international society for oncodevelopmental biology and medicine
Publication Year Start




PMID- 28651487
OWN - NLM
STAT- In-Process
DA  - 20170627
LR  - 20170627
IS  - 1423-0380 (Electronic)
IS  - 1010-4283 (Linking)
VI  - 39
IP  - 6
DP  - 2017 Jun
TI  - Identification of genes and pathways related to lymphovascular invasion in breast
      cancer patients: A bioinformatics analysis of gene expression profiles.
PG  - 1010428317705573
LID - 10.1177/1010428317705573 [doi]
AB  - Surgery is the most effective treatment for breast cancer patients. However, some
      patients developed recurrence and distant metastasis after surgery. Adjuvant
      therapy is considered for high-risk patients depending on several prognostic
      markers, and lymphovascular invasion has become one of such prognostic markers
      that help physicians to identify the risk for distant metastasis and recurrence. 
      However, the mechanism of lymphovascular invasion in breast cancer remains
      unknown. This study aims to unveil the genes and pathways that may involve in
      lymphovascular invasion in breast cancer. In total, 108 breast cancer samples
      were collected during surgery and microarray analysis was performed. Significance
      analysis of the microarrays and limma package for R were used to examine
      differentially expressed genes between lymphovascular invasion-positive and
      lymphovascular invasion-negative cases. Network and pathway analyses were mapped 
      using the Ingenuity Pathway Analysis and the Database for Annotation,
      Visualization and Integrated Discovery. In total, 86 differentially expressed
      genes, including 37 downregulated genes and 49 upregulated genes were identified 
      in lymphovascular invasion-positive patients. Among these genes, TNFSF11, IL6ST, 
      and EPAS1 play important roles in cytokine-receptor interaction, which is the
      most enriched pathway related to lymphovascular invasion. Moreover, the results
      also suggested that an imbalance between extracellular matrix components and
      tumor micro-environment could induce lymphovascular invasion. Our study evaluated
      the underlying mechanisms of lymphovascular invasion, which may further help to
      assess the risk of breast cancer progression and identify potential targets of
      adjuvant treatment.
FAU - Klahan, Sukhontip
AU  - Klahan S
AD  - 1 Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University.
FAU - Wong, Henry Sung-Ching
AU  - Wong HS
AD  - 1 Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University.
AD  - 2 Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of 
      Pharmacy, Taipei Medical University, Taipei, Taiwan.
FAU - Tu, Shih-Hsin
AU  - Tu SH
AD  - 3 Department of Surgery, School of Medicine, College of Medicine, Taipei Medical 
      University, Taipei, Taiwan.
AD  - 4 Taipei Cancer Center, Taipei Medical University, Taipei, Taiwan.
FAU - Chou, Wan-Hsuan
AU  - Chou WH
AD  - 2 Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of 
      Pharmacy, Taipei Medical University, Taipei, Taiwan.
FAU - Zhang, Yan-Feng
AU  - Zhang YF
AD  - 5 HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
FAU - Ho, Thien-Fiew
AU  - Ho TF
AD  - 6 Department of Surgery, Cathay General Hospital Sijhih, New Taipei City, Taiwan.
FAU - Liu, Chih-Yi
AU  - Liu CY
AD  - 7 Department of Pathology, Cathay General Hospital Sijhih, New Taipei City,
      Taiwan.
FAU - Yih, Shih-Ying
AU  - Yih SY
AD  - 8 Department of Hematology and Oncology, Cathay General Hospital Sijhih, New
      Taipei City, Taiwan.
FAU - Lu, Hsing Fang
AU  - Lu HF
AD  - 1 Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University.
FAU - Chen, Sean Chun-Chang
AU  - Chen SC
AD  - 9 Graduate Institute of Biomedical Informatics, College of Medical Science and
      Technology, Taipei Medical University.
FAU - Huang, Chi-Cheng
AU  - Huang CC
AD  - 3 Department of Surgery, School of Medicine, College of Medicine, Taipei Medical 
      University, Taipei, Taiwan.
AD  - 10 Breast Center, Cathay General Hospital, Taipei, Taiwan.
AD  - 11 School of Medicine, College of Medicine, Fu-Jen Catholic University, New
      Taipei, Taiwan.
FAU - Chang, Wei-Chiao
AU  - Chang WC
AD  - 1 Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University.
AD  - 2 Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of 
      Pharmacy, Taipei Medical University, Taipei, Taiwan.
AD  - 12 Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
AD  - 13 Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, 
      Taiwan.
AD  - 14 Center for Biomarkers and Biotech Drugs, Kaohsiung Medical University,
      Kaohsiung, Taiwan.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Tumour Biol
JT  - Tumour biology : the journal of the International Society for Oncodevelopmental
      Biology and Medicine
JID - 8409922
OTO - NOTNLM
OT  - Breast cancer
OT  - bioinformatics analysis
OT  - cytokine interaction pathway
OT  - lymphovascular invasion
OT  - microarray analysis
EDAT- 2017/06/28 06:00
MHDA- 2017/06/28 06:00
CRDT- 2017/06/28 06:00
AID - 10.1177/1010428317705573 [doi]
PST - ppublish
SO  - Tumour Biol. 2017 Jun;39(6):1010428317705573. doi: 10.1177/1010428317705573.