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Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()

Ovarian cancer, the most deadly gynecological malignancy in U.S. women, metastasizes uniquely, spreading through the peritoneal cavity and often generating widespread metastatic sites before diagnosis. The vast majority of ovarian cancer cases occur in women over 40 and the median age at diagnosis i...

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Autores principales: Loughran, Elizabeth A., Leonard, Annemarie K., Hilliard, Tyvette S., Phan, Ryan C., Yemc, Madeleine G., Harper, Elizabeth, Sheedy, Emma, Klymenko, Yuliya, Asem, Marwa, Liu, Yueying, Yang, Jing, Johnson, Jeff, Tarwater, Laura, Shi, Zonggao, Leevy, Matthew, Ravosa, Matthew J., Stack, M. Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994778/
https://www.ncbi.nlm.nih.gov/pubmed/29754071
http://dx.doi.org/10.1016/j.neo.2018.03.007
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author Loughran, Elizabeth A.
Leonard, Annemarie K.
Hilliard, Tyvette S.
Phan, Ryan C.
Yemc, Madeleine G.
Harper, Elizabeth
Sheedy, Emma
Klymenko, Yuliya
Asem, Marwa
Liu, Yueying
Yang, Jing
Johnson, Jeff
Tarwater, Laura
Shi, Zonggao
Leevy, Matthew
Ravosa, Matthew J.
Stack, M. Sharon
author_facet Loughran, Elizabeth A.
Leonard, Annemarie K.
Hilliard, Tyvette S.
Phan, Ryan C.
Yemc, Madeleine G.
Harper, Elizabeth
Sheedy, Emma
Klymenko, Yuliya
Asem, Marwa
Liu, Yueying
Yang, Jing
Johnson, Jeff
Tarwater, Laura
Shi, Zonggao
Leevy, Matthew
Ravosa, Matthew J.
Stack, M. Sharon
author_sort Loughran, Elizabeth A.
collection PubMed
description Ovarian cancer, the most deadly gynecological malignancy in U.S. women, metastasizes uniquely, spreading through the peritoneal cavity and often generating widespread metastatic sites before diagnosis. The vast majority of ovarian cancer cases occur in women over 40 and the median age at diagnosis is 63. Additionally, elderly women receive poorer prognoses when diagnosed with ovarian cancer. Despite age being a significant risk factor for the development of this cancer, there are little published data which address the impact of aging on ovarian cancer metastasis. Here we report that the aged host is more susceptible to metastatic success using two murine syngeneic allograft models of ovarian cancer metastasis. This age-related increase in metastatic tumor burden corresponds with an increase in tumor infiltrating lymphocytes (TILs) in tumor-bearing mice and alteration of B cell-related pathways in gonadal adipose tissue. Based on this work, further studies elucidating the status of B cell TILs in mouse models of metastasis and human tumors in the context of aging are warranted.
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spelling pubmed-59947782018-06-12 Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue() Loughran, Elizabeth A. Leonard, Annemarie K. Hilliard, Tyvette S. Phan, Ryan C. Yemc, Madeleine G. Harper, Elizabeth Sheedy, Emma Klymenko, Yuliya Asem, Marwa Liu, Yueying Yang, Jing Johnson, Jeff Tarwater, Laura Shi, Zonggao Leevy, Matthew Ravosa, Matthew J. Stack, M. Sharon Neoplasia Original article Ovarian cancer, the most deadly gynecological malignancy in U.S. women, metastasizes uniquely, spreading through the peritoneal cavity and often generating widespread metastatic sites before diagnosis. The vast majority of ovarian cancer cases occur in women over 40 and the median age at diagnosis is 63. Additionally, elderly women receive poorer prognoses when diagnosed with ovarian cancer. Despite age being a significant risk factor for the development of this cancer, there are little published data which address the impact of aging on ovarian cancer metastasis. Here we report that the aged host is more susceptible to metastatic success using two murine syngeneic allograft models of ovarian cancer metastasis. This age-related increase in metastatic tumor burden corresponds with an increase in tumor infiltrating lymphocytes (TILs) in tumor-bearing mice and alteration of B cell-related pathways in gonadal adipose tissue. Based on this work, further studies elucidating the status of B cell TILs in mouse models of metastasis and human tumors in the context of aging are warranted. Neoplasia Press 2018-05-10 /pmc/articles/PMC5994778/ /pubmed/29754071 http://dx.doi.org/10.1016/j.neo.2018.03.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Loughran, Elizabeth A.
Leonard, Annemarie K.
Hilliard, Tyvette S.
Phan, Ryan C.
Yemc, Madeleine G.
Harper, Elizabeth
Sheedy, Emma
Klymenko, Yuliya
Asem, Marwa
Liu, Yueying
Yang, Jing
Johnson, Jeff
Tarwater, Laura
Shi, Zonggao
Leevy, Matthew
Ravosa, Matthew J.
Stack, M. Sharon
Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title_full Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title_fullStr Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title_full_unstemmed Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title_short Aging Increases Susceptibility to Ovarian Cancer Metastasis in Murine Allograft Models and Alters Immune Composition of Peritoneal Adipose Tissue()
title_sort aging increases susceptibility to ovarian cancer metastasis in murine allograft models and alters immune composition of peritoneal adipose tissue()
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994778/
https://www.ncbi.nlm.nih.gov/pubmed/29754071
http://dx.doi.org/10.1016/j.neo.2018.03.007
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