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Inflammatory state of lymphatic vessels and miRNA profiles associated with relapse in ovarian cancer patients

Title: Inflammatory state of lymphatic vessels and miRNA profiles associated with relapse in ovarian cancer patients
Authors: Johnson, SC
Chakraborty, S
Drosou, A
Cunnea, P
Tzovaras, D
Nixon, K
Zawieja, DC
Muthuchamy, M
Fotopoulou, C
Moore, JE
Item Type: Journal Article
Abstract: Lymphogenic spread is associated with poor prognosis in epithelial ovarian cancer (EOC), yet little is known regarding roles of non-peri-tumoural lymphatic vessels (LVs) outside the tumour microenvironment that may impact relapse. The aim of this feasibility study was to assess whether inflammatory status of the LVs and/or changes in the miRNA profile of the LVs have potential prognostic and predictive value for overall outcome and risk of relapse. Samples of macroscopically normal human lymph LVs (n = 10) were isolated from the external iliac vessels draining the pelvic region of patients undergoing debulking surgery. This was followed by quantification of the inflammatory state (low, medium and high) and presence of cancer-infiltration of each LV using immunohistochemistry. LV miRNA expression profiling was also performed, and analysed in the context of high versus low inflammation, and cancer-infiltrated versus non-cancer-infiltrated. Results were correlated with clinical outcome data including relapse with an average follow-up time of 13.3 months. The presence of a high degree of inflammation correlated significantly with patient relapse (p = 0.033). Cancer-infiltrated LVs showed a moderate but non-significant association with relapse (p = 0.07). Differential miRNA profiles were identified in cancer-infiltrated LVs and those with high versus low inflammation. In particular, several members of the let-7 family were consistently down-regulated in highly inflamed LVs (>1.8-fold, p<0.05) compared to the less inflamed ones. Down-regulation of the let-7 family appears to be associated with inflammation, but whether inflammation contributes to or is an effect of cancer-infiltration requires further investigation.
Issue Date: 27-Jul-2020
Date of Acceptance: 5-Jul-2020
URI: http://hdl.handle.net/10044/1/86473
DOI: 10.1371/journal.pone.0230092
ISSN: 1932-6203
Publisher: Public Library of Science (PLoS)
Start Page: 1
End Page: 23
Journal / Book Title: PLoS One
Volume: 15
Issue: 7
Copyright Statement: © 2020 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
CELLS
LYMPHANGIOGENESIS
GROWTH
ANGIOGENESIS
MYELOPEROXIDASE
EXPRESSION
SURVIVAL
TUMORIGENESIS
METASTASIS
MICRORNAS
Adenocarcinoma, Clear Cell
Cell Line, Tumor
Down-Regulation
Female
Humans
Logistic Models
Lymphatic Vessels
Machine Learning
MicroRNAs
Neoplasm Recurrence, Local
Neoplasm Staging
Ovarian Neoplasms
Principal Component Analysis
Prognosis
Risk
Cell Line, Tumor
Lymphatic Vessels
Humans
Adenocarcinoma, Clear Cell
Ovarian Neoplasms
Neoplasm Recurrence, Local
MicroRNAs
Neoplasm Staging
Prognosis
Logistic Models
Risk
Down-Regulation
Principal Component Analysis
Female
Machine Learning
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
CELLS
LYMPHANGIOGENESIS
GROWTH
ANGIOGENESIS
MYELOPEROXIDASE
EXPRESSION
SURVIVAL
TUMORIGENESIS
METASTASIS
MICRORNAS
General Science & Technology
Publication Status: Published
Article Number: ARTN e0230092
Online Publication Date: 2020-07-27
Appears in Collections:Bioengineering
Department of Surgery and Cancer
Faculty of Medicine



This item is licensed under a Creative Commons License Creative Commons