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Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease

Hormone receptor positive (HR+) breast cancers are a heterogeneous class with differential prognosis. Although more than half of Indian women present with advanced disease, many such patients do well. We have attempted identification of biologically indolent tumors within HR+HER2- tumors based on ge...

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Autores principales: Prabhu, Jyothi S, Korlimarla, Aruna, Anupama, C E, Alexander, Annie, Raghavan, Rohini, Kaul, Roma, Desai, Krisha, Rajarajan, Savitha, Manjunath, Suraj, Correa, Marjorrie, Raman, R, Kalamdani, Anjali, Prasad, MSN, Patil, Shekar, Gopinath, K S, Srinath, B S, Sridhar, T.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506875/
https://www.ncbi.nlm.nih.gov/pubmed/28704710
http://dx.doi.org/10.1016/j.tranon.2017.04.011
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author Prabhu, Jyothi S
Korlimarla, Aruna
Anupama, C E
Alexander, Annie
Raghavan, Rohini
Kaul, Roma
Desai, Krisha
Rajarajan, Savitha
Manjunath, Suraj
Correa, Marjorrie
Raman, R
Kalamdani, Anjali
Prasad, MSN
Patil, Shekar
Gopinath, K S
Srinath, B S
Sridhar, T.S.
author_facet Prabhu, Jyothi S
Korlimarla, Aruna
Anupama, C E
Alexander, Annie
Raghavan, Rohini
Kaul, Roma
Desai, Krisha
Rajarajan, Savitha
Manjunath, Suraj
Correa, Marjorrie
Raman, R
Kalamdani, Anjali
Prasad, MSN
Patil, Shekar
Gopinath, K S
Srinath, B S
Sridhar, T.S.
author_sort Prabhu, Jyothi S
collection PubMed
description Hormone receptor positive (HR+) breast cancers are a heterogeneous class with differential prognosis. Although more than half of Indian women present with advanced disease, many such patients do well. We have attempted identification of biologically indolent tumors within HR+HER2- tumors based on gene expression using histological grade as a guide to tumor aggression. 144 HR+HER2- tumors were divided into subclasses based on scores derived by using transcript levels of multiple genes representing survival, proliferation, and apoptotic pathways and compared to classification by Ki-67 labeling index (LI). Clinical characters and disease free survival were compared between the subclasses. The findings were independently validated in the METABRIC data set. Using the previously established estrogen receptor (ER) down stream activity equation, 20% of the tumors with greater than 10% HR positivity by immunohistochemistry (IHC) were still found to have inadequate ER function. A tumor aggression probability score was used to segregate the remainder of tumors into indolent (22%) and aggressive (58%) classes. Significant difference in disease specific survival was seen between the groups (P = .02). Aggression probability based subclassification had a higher hazard ratio and also independent prognostic value (P < .05). Independent validation of the gene panel in the METABRIC data set showed all 3 classes; indolent (24%), aggressive (68%), and insufficient ER signaling (7%) with differential survival (P = .01). In agreement with other recent reports, biologically indolent tumors can be identified with small sets of gene panels and these tumors exist in a population with predominantly late stage disease.
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spelling pubmed-55068752017-07-19 Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease Prabhu, Jyothi S Korlimarla, Aruna Anupama, C E Alexander, Annie Raghavan, Rohini Kaul, Roma Desai, Krisha Rajarajan, Savitha Manjunath, Suraj Correa, Marjorrie Raman, R Kalamdani, Anjali Prasad, MSN Patil, Shekar Gopinath, K S Srinath, B S Sridhar, T.S. Transl Oncol Original article Hormone receptor positive (HR+) breast cancers are a heterogeneous class with differential prognosis. Although more than half of Indian women present with advanced disease, many such patients do well. We have attempted identification of biologically indolent tumors within HR+HER2- tumors based on gene expression using histological grade as a guide to tumor aggression. 144 HR+HER2- tumors were divided into subclasses based on scores derived by using transcript levels of multiple genes representing survival, proliferation, and apoptotic pathways and compared to classification by Ki-67 labeling index (LI). Clinical characters and disease free survival were compared between the subclasses. The findings were independently validated in the METABRIC data set. Using the previously established estrogen receptor (ER) down stream activity equation, 20% of the tumors with greater than 10% HR positivity by immunohistochemistry (IHC) were still found to have inadequate ER function. A tumor aggression probability score was used to segregate the remainder of tumors into indolent (22%) and aggressive (58%) classes. Significant difference in disease specific survival was seen between the groups (P = .02). Aggression probability based subclassification had a higher hazard ratio and also independent prognostic value (P < .05). Independent validation of the gene panel in the METABRIC data set showed all 3 classes; indolent (24%), aggressive (68%), and insufficient ER signaling (7%) with differential survival (P = .01). In agreement with other recent reports, biologically indolent tumors can be identified with small sets of gene panels and these tumors exist in a population with predominantly late stage disease. Neoplasia Press 2017-07-11 /pmc/articles/PMC5506875/ /pubmed/28704710 http://dx.doi.org/10.1016/j.tranon.2017.04.011 Text en © 2017 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
Prabhu, Jyothi S
Korlimarla, Aruna
Anupama, C E
Alexander, Annie
Raghavan, Rohini
Kaul, Roma
Desai, Krisha
Rajarajan, Savitha
Manjunath, Suraj
Correa, Marjorrie
Raman, R
Kalamdani, Anjali
Prasad, MSN
Patil, Shekar
Gopinath, K S
Srinath, B S
Sridhar, T.S.
Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title_full Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title_fullStr Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title_full_unstemmed Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title_short Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease
title_sort dissecting the biological heterogeneity within hormone receptor positive her2 negative breast cancer by gene expression markers identifies indolent tumors within late stage disease
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506875/
https://www.ncbi.nlm.nih.gov/pubmed/28704710
http://dx.doi.org/10.1016/j.tranon.2017.04.011
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