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Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression

Background: "Triple-negative breast cancers" (TNBC) comprise a heterogeneous group of about 15% of invasive BCs lacking the expression of estrogen and progesterone receptors (ER, PR) and the expression of HER2 (ERBB2) and are therefore no established candidates for targeted treatment optio...

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Autores principales: Hessel, Harald, Poignée-Heger, Manuela, Lohmann, Sabine, Hirscher, Bianca, Herold, Andrea, Assmann, Gerald, Budczies, Jan, Sotlar, Karl, Kirchner, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072816/
https://www.ncbi.nlm.nih.gov/pubmed/30087699
http://dx.doi.org/10.7150/jca.23023
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author Hessel, Harald
Poignée-Heger, Manuela
Lohmann, Sabine
Hirscher, Bianca
Herold, Andrea
Assmann, Gerald
Budczies, Jan
Sotlar, Karl
Kirchner, Thomas
author_facet Hessel, Harald
Poignée-Heger, Manuela
Lohmann, Sabine
Hirscher, Bianca
Herold, Andrea
Assmann, Gerald
Budczies, Jan
Sotlar, Karl
Kirchner, Thomas
author_sort Hessel, Harald
collection PubMed
description Background: "Triple-negative breast cancers" (TNBC) comprise a heterogeneous group of about 15% of invasive BCs lacking the expression of estrogen and progesterone receptors (ER, PR) and the expression of HER2 (ERBB2) and are therefore no established candidates for targeted treatment options in BC, i.e., endocrine and anti-HER2 therapy. The aim of the present study was to use gene expression profiling and immunohistochemical (IHC) characterization to identify receptor tyrosine kinase (RTK) profiles that would allow patient stratification for the purposes of target-oriented personalized tumor therapy in TNBC. Methods: Twenty-nine cases of TNBC selected according to routine diagnostic IHC/cytogenetic criteria were examined by reverse transcription polymerase chain reaction (RT-PCR). RTK mRNA expression profiles were generated for a total of 31 tumor-relevant biomarkers, mainly belonging to the IGF- and EGF-receptor families but also including biomarkers related to downstream signaling. Protein expression of selected biomarkers was investigated by IHC. Results: Hierarchical cluster analysis revealed a dichotomous differentiation pattern amongst TNBCs. A significant difference in gene expression was observed for 16 of the 31 RTK-associated tumor relevant biomarkers between the two newly identified TNBC subgroups. The findings were verified at the posttranslational level by the IHC data. The RTKs HER4, IGF-1R and IGF-2R and the hormone receptors ER and PR below the IHC detection limit play a central role in the differentiation of the two TNBC subgroups. Observed survival was reported as Kaplan-Meier estimates and point towards an improved survival of patients with RTK-high with superior three-year survival rate of 100% compared to RTK-low gene signatures with superior three-year survival rate of 60% (log-rank test, p-value = 0.022). Conclusion: Gene-expression and IHC analysis of the EGF and IGF receptor families and biomarkers associated with downstream signaling point to the existence of two distinct TNBC subtypes. The RTKs HER4, IGF-1R, IGF-2R and the hormone receptors ER and PR appear to be of particular importance here. Based on survival analysis the differentiation of TNBC with RTK-high and RTK-low gene signatures seems to be of prognostic relevance. Additionally, correlation analysis of the relationship between RTKs and ER suggests co-regulatory mechanisms that may have potential significance in new therapeutic approaches.
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spelling pubmed-60728162018-08-07 Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression Hessel, Harald Poignée-Heger, Manuela Lohmann, Sabine Hirscher, Bianca Herold, Andrea Assmann, Gerald Budczies, Jan Sotlar, Karl Kirchner, Thomas J Cancer Research Paper Background: "Triple-negative breast cancers" (TNBC) comprise a heterogeneous group of about 15% of invasive BCs lacking the expression of estrogen and progesterone receptors (ER, PR) and the expression of HER2 (ERBB2) and are therefore no established candidates for targeted treatment options in BC, i.e., endocrine and anti-HER2 therapy. The aim of the present study was to use gene expression profiling and immunohistochemical (IHC) characterization to identify receptor tyrosine kinase (RTK) profiles that would allow patient stratification for the purposes of target-oriented personalized tumor therapy in TNBC. Methods: Twenty-nine cases of TNBC selected according to routine diagnostic IHC/cytogenetic criteria were examined by reverse transcription polymerase chain reaction (RT-PCR). RTK mRNA expression profiles were generated for a total of 31 tumor-relevant biomarkers, mainly belonging to the IGF- and EGF-receptor families but also including biomarkers related to downstream signaling. Protein expression of selected biomarkers was investigated by IHC. Results: Hierarchical cluster analysis revealed a dichotomous differentiation pattern amongst TNBCs. A significant difference in gene expression was observed for 16 of the 31 RTK-associated tumor relevant biomarkers between the two newly identified TNBC subgroups. The findings were verified at the posttranslational level by the IHC data. The RTKs HER4, IGF-1R and IGF-2R and the hormone receptors ER and PR below the IHC detection limit play a central role in the differentiation of the two TNBC subgroups. Observed survival was reported as Kaplan-Meier estimates and point towards an improved survival of patients with RTK-high with superior three-year survival rate of 100% compared to RTK-low gene signatures with superior three-year survival rate of 60% (log-rank test, p-value = 0.022). Conclusion: Gene-expression and IHC analysis of the EGF and IGF receptor families and biomarkers associated with downstream signaling point to the existence of two distinct TNBC subtypes. The RTKs HER4, IGF-1R, IGF-2R and the hormone receptors ER and PR appear to be of particular importance here. Based on survival analysis the differentiation of TNBC with RTK-high and RTK-low gene signatures seems to be of prognostic relevance. Additionally, correlation analysis of the relationship between RTKs and ER suggests co-regulatory mechanisms that may have potential significance in new therapeutic approaches. Ivyspring International Publisher 2018-06-23 /pmc/articles/PMC6072816/ /pubmed/30087699 http://dx.doi.org/10.7150/jca.23023 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Hessel, Harald
Poignée-Heger, Manuela
Lohmann, Sabine
Hirscher, Bianca
Herold, Andrea
Assmann, Gerald
Budczies, Jan
Sotlar, Karl
Kirchner, Thomas
Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title_full Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title_fullStr Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title_full_unstemmed Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title_short Subtyping Of Triple Negative Breast Carcinoma On The Basis Of RTK Expression
title_sort subtyping of triple negative breast carcinoma on the basis of rtk expression
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072816/
https://www.ncbi.nlm.nih.gov/pubmed/30087699
http://dx.doi.org/10.7150/jca.23023
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