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Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival

Cervical cancer is typically well infiltrated by immune cells. Because of the intricate relationship between cancer cells and immune cells, we aimed to identify both cancer cell and immune cell expressed biomarkers. Using a novel approach, we isolated RNA from flow-sorted viable EpCAM(+) tumor epith...

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Autores principales: Punt, Simone, Corver, Willem E., van der Zeeuw, Sander A.J., Kielbasa, Szymon M., Osse, Elisabeth M., Buermans, Henk P.J., de Kroon, Cornelis D., Jordanova, Ekaterina S., Gorter, Arko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770729/
https://www.ncbi.nlm.nih.gov/pubmed/26299617
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author Punt, Simone
Corver, Willem E.
van der Zeeuw, Sander A.J.
Kielbasa, Szymon M.
Osse, Elisabeth M.
Buermans, Henk P.J.
de Kroon, Cornelis D.
Jordanova, Ekaterina S.
Gorter, Arko
author_facet Punt, Simone
Corver, Willem E.
van der Zeeuw, Sander A.J.
Kielbasa, Szymon M.
Osse, Elisabeth M.
Buermans, Henk P.J.
de Kroon, Cornelis D.
Jordanova, Ekaterina S.
Gorter, Arko
author_sort Punt, Simone
collection PubMed
description Cervical cancer is typically well infiltrated by immune cells. Because of the intricate relationship between cancer cells and immune cells, we aimed to identify both cancer cell and immune cell expressed biomarkers. Using a novel approach, we isolated RNA from flow-sorted viable EpCAM(+) tumor epithelial cells and CD45(+) tumor-infiltrating immune cells obtained from squamous cell cervical cancer samples (n = 24). Total RNA was sequenced and differential gene expression analysis of the CD45(+) immune cell fractions identified TCL1A as a novel marker for predicting improved survival (p = 0.007). This finding was validated using qRT-PCR (p = 0.005) and partially validated using immunohistochemistry (p = 0.083). Importantly, TCL1A was found to be expressed in a subpopulation of B cells (CD3(−)/CD19(+)/CD10(+)/CD34(−)) using multicolor immunofluorescence. A high TCL1A/CD20 (B cell) ratio, determined in total tumor samples from a separate patient cohort using qRT-PCR (n = 52), was also correlated with improved survival (p = 0.027). This is the first study demonstrating the prognostic value of separating tumor epithelial cells from tumor-infiltrating immune cells and determining their RNA expression profile for identifying putative cancer biomarkers. Our results suggest that intratumoral TCL1A(+) B cells are important for controlling cervical cancer development.
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spelling pubmed-47707292016-03-21 Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival Punt, Simone Corver, Willem E. van der Zeeuw, Sander A.J. Kielbasa, Szymon M. Osse, Elisabeth M. Buermans, Henk P.J. de Kroon, Cornelis D. Jordanova, Ekaterina S. Gorter, Arko Oncotarget Research Paper Cervical cancer is typically well infiltrated by immune cells. Because of the intricate relationship between cancer cells and immune cells, we aimed to identify both cancer cell and immune cell expressed biomarkers. Using a novel approach, we isolated RNA from flow-sorted viable EpCAM(+) tumor epithelial cells and CD45(+) tumor-infiltrating immune cells obtained from squamous cell cervical cancer samples (n = 24). Total RNA was sequenced and differential gene expression analysis of the CD45(+) immune cell fractions identified TCL1A as a novel marker for predicting improved survival (p = 0.007). This finding was validated using qRT-PCR (p = 0.005) and partially validated using immunohistochemistry (p = 0.083). Importantly, TCL1A was found to be expressed in a subpopulation of B cells (CD3(−)/CD19(+)/CD10(+)/CD34(−)) using multicolor immunofluorescence. A high TCL1A/CD20 (B cell) ratio, determined in total tumor samples from a separate patient cohort using qRT-PCR (n = 52), was also correlated with improved survival (p = 0.027). This is the first study demonstrating the prognostic value of separating tumor epithelial cells from tumor-infiltrating immune cells and determining their RNA expression profile for identifying putative cancer biomarkers. Our results suggest that intratumoral TCL1A(+) B cells are important for controlling cervical cancer development. Impact Journals LLC 2015-06-19 /pmc/articles/PMC4770729/ /pubmed/26299617 Text en Copyright: © 2015 Punt et al. http://creativecommons.org/licenses/by/2.5/ 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.
spellingShingle Research Paper
Punt, Simone
Corver, Willem E.
van der Zeeuw, Sander A.J.
Kielbasa, Szymon M.
Osse, Elisabeth M.
Buermans, Henk P.J.
de Kroon, Cornelis D.
Jordanova, Ekaterina S.
Gorter, Arko
Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title_full Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title_fullStr Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title_full_unstemmed Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title_short Whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that B cell expressed TCL1A is correlated with improved survival
title_sort whole-transcriptome analysis of flow-sorted cervical cancer samples reveals that b cell expressed tcl1a is correlated with improved survival
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770729/
https://www.ncbi.nlm.nih.gov/pubmed/26299617
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