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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |