Cargando…

Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease

Cervical cancer is the second most common cancer among women worldwide, with developing countries accounting for >80% of the disease burden. Although in the West, active screening has been instrumental in reducing the incidence of cervical cancer, disease management is hampered due to lack of bio...

Descripción completa

Detalles Bibliográficos
Autores principales: Thomas, Asha, Mahantshetty, Umesh, Kannan, Sadhana, Deodhar, Kedar, Shrivastava, Shyam K, Kumar-Sinha, Chandan, Mulherkar, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892388/
https://www.ncbi.nlm.nih.gov/pubmed/24403257
http://dx.doi.org/10.1002/cam4.152
_version_ 1782299518423793664
author Thomas, Asha
Mahantshetty, Umesh
Kannan, Sadhana
Deodhar, Kedar
Shrivastava, Shyam K
Kumar-Sinha, Chandan
Mulherkar, Rita
author_facet Thomas, Asha
Mahantshetty, Umesh
Kannan, Sadhana
Deodhar, Kedar
Shrivastava, Shyam K
Kumar-Sinha, Chandan
Mulherkar, Rita
author_sort Thomas, Asha
collection PubMed
description Cervical cancer is the second most common cancer among women worldwide, with developing countries accounting for >80% of the disease burden. Although in the West, active screening has been instrumental in reducing the incidence of cervical cancer, disease management is hampered due to lack of biomarkers for disease progression and defined therapeutic targets. Here we carried out gene expression profiling of 29 cervical cancer tissues from Indian women, spanning International Federation of Gynaecology and Obstetrics (FIGO) stages of the disease from early lesion (IA and IIA) to progressive stages (IIB and IIIA–B), and identified distinct gene expression signatures. Overall, metabolic pathways, pathways in cancer and signaling pathways were found to be significantly upregulated, while focal adhesion, cytokine–cytokine receptor interaction and WNT signaling were downregulated. Additionally, we identified candidate biomarkers of disease progression such as SPP1, proliferating cell nuclear antigen (PCNA), STK17A, and DUSP1 among others that were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in the samples used for microarray studies as well in an independent set of 34 additional samples. Integrative analysis of our results with other cervical cancer profiling studies could facilitate the development of multiplex diagnostic markers of cervical cancer progression.
format Online
Article
Text
id pubmed-3892388
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Blackwell Publishing Ltd
record_format MEDLINE/PubMed
spelling pubmed-38923882014-01-22 Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease Thomas, Asha Mahantshetty, Umesh Kannan, Sadhana Deodhar, Kedar Shrivastava, Shyam K Kumar-Sinha, Chandan Mulherkar, Rita Cancer Med Cancer Biology Cervical cancer is the second most common cancer among women worldwide, with developing countries accounting for >80% of the disease burden. Although in the West, active screening has been instrumental in reducing the incidence of cervical cancer, disease management is hampered due to lack of biomarkers for disease progression and defined therapeutic targets. Here we carried out gene expression profiling of 29 cervical cancer tissues from Indian women, spanning International Federation of Gynaecology and Obstetrics (FIGO) stages of the disease from early lesion (IA and IIA) to progressive stages (IIB and IIIA–B), and identified distinct gene expression signatures. Overall, metabolic pathways, pathways in cancer and signaling pathways were found to be significantly upregulated, while focal adhesion, cytokine–cytokine receptor interaction and WNT signaling were downregulated. Additionally, we identified candidate biomarkers of disease progression such as SPP1, proliferating cell nuclear antigen (PCNA), STK17A, and DUSP1 among others that were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in the samples used for microarray studies as well in an independent set of 34 additional samples. Integrative analysis of our results with other cervical cancer profiling studies could facilitate the development of multiplex diagnostic markers of cervical cancer progression. Blackwell Publishing Ltd 2013-12 2013-10-31 /pmc/articles/PMC3892388/ /pubmed/24403257 http://dx.doi.org/10.1002/cam4.152 Text en © 2013 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Cancer Biology
Thomas, Asha
Mahantshetty, Umesh
Kannan, Sadhana
Deodhar, Kedar
Shrivastava, Shyam K
Kumar-Sinha, Chandan
Mulherkar, Rita
Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title_full Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title_fullStr Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title_full_unstemmed Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title_short Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease
title_sort expression profiling of cervical cancers in indian women at different stages to identify gene signatures during progression of the disease
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892388/
https://www.ncbi.nlm.nih.gov/pubmed/24403257
http://dx.doi.org/10.1002/cam4.152
work_keys_str_mv AT thomasasha expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT mahantshettyumesh expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT kannansadhana expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT deodharkedar expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT shrivastavashyamk expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT kumarsinhachandan expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease
AT mulherkarrita expressionprofilingofcervicalcancersinindianwomenatdifferentstagestoidentifygenesignaturesduringprogressionofthedisease