Cargando…

Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer

Obesity, an established risk factor for endometrial cancer (EC), is also associated to increased risks of intraoperative and postoperative complications. A reliable tool to identify patients at low risk for lymph node (LN) metastasis may allow minimizing the surgical staging and omit lymphadenectomy...

Descripción completa

Detalles Bibliográficos
Autores principales: López-Ozuna, Vanessa M., Kogan, Liron, Hachim, Mahmood Y., Matanes, Emad, Hachim, Ibrahim Y., Mitric, Cristina, Kiow, Lauren Liu Chen, Lau, Susie, Salvador, Shannon, Yasmeen, Amber, Gotlieb, Walter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292832/
https://www.ncbi.nlm.nih.gov/pubmed/34307159
http://dx.doi.org/10.3389/fonc.2021.695404
_version_ 1783724903075151872
author López-Ozuna, Vanessa M.
Kogan, Liron
Hachim, Mahmood Y.
Matanes, Emad
Hachim, Ibrahim Y.
Mitric, Cristina
Kiow, Lauren Liu Chen
Lau, Susie
Salvador, Shannon
Yasmeen, Amber
Gotlieb, Walter H.
author_facet López-Ozuna, Vanessa M.
Kogan, Liron
Hachim, Mahmood Y.
Matanes, Emad
Hachim, Ibrahim Y.
Mitric, Cristina
Kiow, Lauren Liu Chen
Lau, Susie
Salvador, Shannon
Yasmeen, Amber
Gotlieb, Walter H.
author_sort López-Ozuna, Vanessa M.
collection PubMed
description Obesity, an established risk factor for endometrial cancer (EC), is also associated to increased risks of intraoperative and postoperative complications. A reliable tool to identify patients at low risk for lymph node (LN) metastasis may allow minimizing the surgical staging and omit lymphadenectomy in obese patients. To identify molecular biomarkers that could predict LN involvement in obese patients with EC we performed gene expression analysis in 549 EC patients using publicly available transcriptomic datasets. Patients were filtrated according to cancer subtype, weight (>30 kg/m(2)) and LN status. While in the LN+ group, NEB, ANK1, AMIGO2, LZTS1, FKBP5, CHGA, USP32P1, CLIC6, CEMIP, HMCN1 and TNFRSF10C genes were highly expressed; in the LN- group CXCL14, FCN1, EPHX3, DDX11L2, TMEM254, RNF207, LTK, RPL36A, HGAL, B4GALNT4, KLRG1 genes were up-regulated. As a second step, we investigated these genes in our patient cohort of 35 patients (15 LN+ and 20 LN-) and found the same correlation with the in-silico analysis. In addition, immunohistochemical expression was confirmed in the tumor tissue. Altogether, our findings propose a novel panel of genes able to predict LN involvement in obese patients with endometrial cancer.
format Online
Article
Text
id pubmed-8292832
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82928322021-07-22 Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer López-Ozuna, Vanessa M. Kogan, Liron Hachim, Mahmood Y. Matanes, Emad Hachim, Ibrahim Y. Mitric, Cristina Kiow, Lauren Liu Chen Lau, Susie Salvador, Shannon Yasmeen, Amber Gotlieb, Walter H. Front Oncol Oncology Obesity, an established risk factor for endometrial cancer (EC), is also associated to increased risks of intraoperative and postoperative complications. A reliable tool to identify patients at low risk for lymph node (LN) metastasis may allow minimizing the surgical staging and omit lymphadenectomy in obese patients. To identify molecular biomarkers that could predict LN involvement in obese patients with EC we performed gene expression analysis in 549 EC patients using publicly available transcriptomic datasets. Patients were filtrated according to cancer subtype, weight (>30 kg/m(2)) and LN status. While in the LN+ group, NEB, ANK1, AMIGO2, LZTS1, FKBP5, CHGA, USP32P1, CLIC6, CEMIP, HMCN1 and TNFRSF10C genes were highly expressed; in the LN- group CXCL14, FCN1, EPHX3, DDX11L2, TMEM254, RNF207, LTK, RPL36A, HGAL, B4GALNT4, KLRG1 genes were up-regulated. As a second step, we investigated these genes in our patient cohort of 35 patients (15 LN+ and 20 LN-) and found the same correlation with the in-silico analysis. In addition, immunohistochemical expression was confirmed in the tumor tissue. Altogether, our findings propose a novel panel of genes able to predict LN involvement in obese patients with endometrial cancer. Frontiers Media S.A. 2021-07-07 /pmc/articles/PMC8292832/ /pubmed/34307159 http://dx.doi.org/10.3389/fonc.2021.695404 Text en Copyright © 2021 López-Ozuna, Kogan, Hachim, Matanes, Hachim, Mitric, Kiow, Lau, Salvador, Yasmeen and Gotlieb https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
López-Ozuna, Vanessa M.
Kogan, Liron
Hachim, Mahmood Y.
Matanes, Emad
Hachim, Ibrahim Y.
Mitric, Cristina
Kiow, Lauren Liu Chen
Lau, Susie
Salvador, Shannon
Yasmeen, Amber
Gotlieb, Walter H.
Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title_full Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title_fullStr Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title_full_unstemmed Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title_short Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer
title_sort identification of predictive biomarkers for lymph node involvement in obese women with endometrial cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292832/
https://www.ncbi.nlm.nih.gov/pubmed/34307159
http://dx.doi.org/10.3389/fonc.2021.695404
work_keys_str_mv AT lopezozunavanessam identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT koganliron identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT hachimmahmoody identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT matanesemad identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT hachimibrahimy identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT mitriccristina identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT kiowlaurenliuchen identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT laususie identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT salvadorshannon identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT yasmeenamber identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer
AT gotliebwalterh identificationofpredictivebiomarkersforlymphnodeinvolvementinobesewomenwithendometrialcancer