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Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer

PAM50/Prosigna gene expression-based assay identifies three categorical risk of relapse groups (ROR-low, ROR-intermediate and ROR-high) in post-menopausal patients with estrogen receptor estrogen receptor-positive (ER+)/ HER2-negative (HER2-) early breast cancer. Low risk patients might not need adj...

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Autores principales: Fernand ez-Martinez, Aranzazu, Pascual, Tomás, Perrone, Giuseppe, Morales, Serafin, de la Haba, Juan, González-Rivera, Milagros, Galván, Patricia, Zalfa, Francesca, Amato, Michela, Gonzalez, Lucia, Prats, Miquel, Rojo, Federico, Manso, Luis, Paré, Laia, Alonso, Immaculada, Albanell, Joan, Vivancos, Ana, González, Antonio, Matito, Judit, González, Sonia, Fernandez, Pedro, Adamo, Barbara, Muñoz, Montserrat, Viladot, Margarita, Font, Carme, Aya, Francisco, Vidal, Maria, Caballero, Rosalía, Carrasco, Eva, Altomare, Vittorio, Tonini, Giuseppe, Prat, Aleix, Martin, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400635/
https://www.ncbi.nlm.nih.gov/pubmed/28423537
http://dx.doi.org/10.18632/oncotarget.15748
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author Fernand ez-Martinez, Aranzazu
Pascual, Tomás
Perrone, Giuseppe
Morales, Serafin
de la Haba, Juan
González-Rivera, Milagros
Galván, Patricia
Zalfa, Francesca
Amato, Michela
Gonzalez, Lucia
Prats, Miquel
Rojo, Federico
Manso, Luis
Paré, Laia
Alonso, Immaculada
Albanell, Joan
Vivancos, Ana
González, Antonio
Matito, Judit
González, Sonia
Fernandez, Pedro
Adamo, Barbara
Muñoz, Montserrat
Viladot, Margarita
Font, Carme
Aya, Francisco
Vidal, Maria
Caballero, Rosalía
Carrasco, Eva
Altomare, Vittorio
Tonini, Giuseppe
Prat, Aleix
Martin, Miguel
author_facet Fernand ez-Martinez, Aranzazu
Pascual, Tomás
Perrone, Giuseppe
Morales, Serafin
de la Haba, Juan
González-Rivera, Milagros
Galván, Patricia
Zalfa, Francesca
Amato, Michela
Gonzalez, Lucia
Prats, Miquel
Rojo, Federico
Manso, Luis
Paré, Laia
Alonso, Immaculada
Albanell, Joan
Vivancos, Ana
González, Antonio
Matito, Judit
González, Sonia
Fernandez, Pedro
Adamo, Barbara
Muñoz, Montserrat
Viladot, Margarita
Font, Carme
Aya, Francisco
Vidal, Maria
Caballero, Rosalía
Carrasco, Eva
Altomare, Vittorio
Tonini, Giuseppe
Prat, Aleix
Martin, Miguel
author_sort Fernand ez-Martinez, Aranzazu
collection PubMed
description PAM50/Prosigna gene expression-based assay identifies three categorical risk of relapse groups (ROR-low, ROR-intermediate and ROR-high) in post-menopausal patients with estrogen receptor estrogen receptor-positive (ER+)/ HER2-negative (HER2-) early breast cancer. Low risk patients might not need adjuvant chemotherapy since their risk of distant relapse at 10-years is below 10% with endocrine therapy only. In this study, 517 consecutive patients with ER+/HER2- and node-negative disease were evaluated for Ki67 and Prosigna. Most of Luminal A tumors (65.6%) and ROR-low tumors (70.9%) had low Ki67 values (0-10%); however, the percentage of patients with ROR-medium or ROR-high disease within the Ki67 0-10% group was 42.7% (with tumor sizes ≤2 cm) and 33.9% (with tumor sizes > 2 cm). Finally, we found that the optimal Ki67 cutoff for identifying Luminal A or ROR-low tumors was 14%. Ki67 as a surrogate biomarker in identifying Prosigna low-risk outcome patients or Luminal A disease in the clinical setting is unreliable. In the absence of a well-validated prognostic gene expression-based assay, the optimal Ki67 cutoff for identifying low-risk outcome patients or Luminal A disease remains at 14%.
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spelling pubmed-54006352017-05-03 Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer Fernand ez-Martinez, Aranzazu Pascual, Tomás Perrone, Giuseppe Morales, Serafin de la Haba, Juan González-Rivera, Milagros Galván, Patricia Zalfa, Francesca Amato, Michela Gonzalez, Lucia Prats, Miquel Rojo, Federico Manso, Luis Paré, Laia Alonso, Immaculada Albanell, Joan Vivancos, Ana González, Antonio Matito, Judit González, Sonia Fernandez, Pedro Adamo, Barbara Muñoz, Montserrat Viladot, Margarita Font, Carme Aya, Francisco Vidal, Maria Caballero, Rosalía Carrasco, Eva Altomare, Vittorio Tonini, Giuseppe Prat, Aleix Martin, Miguel Oncotarget Research Paper PAM50/Prosigna gene expression-based assay identifies three categorical risk of relapse groups (ROR-low, ROR-intermediate and ROR-high) in post-menopausal patients with estrogen receptor estrogen receptor-positive (ER+)/ HER2-negative (HER2-) early breast cancer. Low risk patients might not need adjuvant chemotherapy since their risk of distant relapse at 10-years is below 10% with endocrine therapy only. In this study, 517 consecutive patients with ER+/HER2- and node-negative disease were evaluated for Ki67 and Prosigna. Most of Luminal A tumors (65.6%) and ROR-low tumors (70.9%) had low Ki67 values (0-10%); however, the percentage of patients with ROR-medium or ROR-high disease within the Ki67 0-10% group was 42.7% (with tumor sizes ≤2 cm) and 33.9% (with tumor sizes > 2 cm). Finally, we found that the optimal Ki67 cutoff for identifying Luminal A or ROR-low tumors was 14%. Ki67 as a surrogate biomarker in identifying Prosigna low-risk outcome patients or Luminal A disease in the clinical setting is unreliable. In the absence of a well-validated prognostic gene expression-based assay, the optimal Ki67 cutoff for identifying low-risk outcome patients or Luminal A disease remains at 14%. Impact Journals LLC 2017-02-27 /pmc/articles/PMC5400635/ /pubmed/28423537 http://dx.doi.org/10.18632/oncotarget.15748 Text en Copyright: © 2017 Fernand ez-Martinez et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Fernand ez-Martinez, Aranzazu
Pascual, Tomás
Perrone, Giuseppe
Morales, Serafin
de la Haba, Juan
González-Rivera, Milagros
Galván, Patricia
Zalfa, Francesca
Amato, Michela
Gonzalez, Lucia
Prats, Miquel
Rojo, Federico
Manso, Luis
Paré, Laia
Alonso, Immaculada
Albanell, Joan
Vivancos, Ana
González, Antonio
Matito, Judit
González, Sonia
Fernandez, Pedro
Adamo, Barbara
Muñoz, Montserrat
Viladot, Margarita
Font, Carme
Aya, Francisco
Vidal, Maria
Caballero, Rosalía
Carrasco, Eva
Altomare, Vittorio
Tonini, Giuseppe
Prat, Aleix
Martin, Miguel
Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title_full Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title_fullStr Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title_full_unstemmed Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title_short Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer
title_sort limitations in predicting pam50 intrinsic subtype and risk of relapse score with ki67 in estrogen receptor-positive her2-negative breast cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400635/
https://www.ncbi.nlm.nih.gov/pubmed/28423537
http://dx.doi.org/10.18632/oncotarget.15748
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