Cargando…

Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians

BACKGROUND: In women with early breast cancer, a pathological complete response (pCR) after neoadjuvant chemotherapy is reported to be associated with an improvement of the survival. The aim of this survey among physicians was to investigate whether the probability of achieving pCR in patients with...

Descripción completa

Detalles Bibliográficos
Autores principales: Gass, Paul, Untch, Michael, Müller, Volkmar, Möbus, Volker, Thomssen, Christoph, Häberle, Lothar, Erber, Ramona, Hein, Alexander, Jud, Sebastian Michael, Lux, Michael P., Hack, Carolin C., Hartmann, Arndt, Kolberg, Hans-Christian, Ettl, Johannes, Lüftner, Diana, Jackisch, Christian, Beckmann, Matthias W., Janni, Wolfgang, Schneeweiss, Andreas, Fasching, Peter A., Nabieva, Naiba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059863/
https://www.ncbi.nlm.nih.gov/pubmed/30057427
http://dx.doi.org/10.1055/a-0642-9462
_version_ 1783341935365193728
author Gass, Paul
Untch, Michael
Müller, Volkmar
Möbus, Volker
Thomssen, Christoph
Häberle, Lothar
Erber, Ramona
Hein, Alexander
Jud, Sebastian Michael
Lux, Michael P.
Hack, Carolin C.
Hartmann, Arndt
Kolberg, Hans-Christian
Ettl, Johannes
Lüftner, Diana
Jackisch, Christian
Beckmann, Matthias W.
Janni, Wolfgang
Schneeweiss, Andreas
Fasching, Peter A.
Nabieva, Naiba
author_facet Gass, Paul
Untch, Michael
Müller, Volkmar
Möbus, Volker
Thomssen, Christoph
Häberle, Lothar
Erber, Ramona
Hein, Alexander
Jud, Sebastian Michael
Lux, Michael P.
Hack, Carolin C.
Hartmann, Arndt
Kolberg, Hans-Christian
Ettl, Johannes
Lüftner, Diana
Jackisch, Christian
Beckmann, Matthias W.
Janni, Wolfgang
Schneeweiss, Andreas
Fasching, Peter A.
Nabieva, Naiba
author_sort Gass, Paul
collection PubMed
description BACKGROUND: In women with early breast cancer, a pathological complete response (pCR) after neoadjuvant chemotherapy is reported to be associated with an improvement of the survival. The aim of this survey among physicians was to investigate whether the probability of achieving pCR in patients with a hormone receptor-positive, HER2-negative disease encourages physicians to recommend neoadjuvant chemotherapy. METHODS: The study was conducted via an online survey that was sent to 493 physicians, who were either known as members of national guideline committees, heads of breast cancer centers, being high recruiters in clinical trials or leading a private practice. Participants were asked about a specific case that should resemble patients for whom it is unclear, whether they should be treated with chemotherapy. RESULTS: 113 (24.5%) physicians participated at the survey, out of which 96.5% had a work experience of more than 10 years and 94.7% were board certified in their specialty. A total of 84.1% would consider pCR for a decision concerning neoadjuvant chemotherapy. With regard to the pCR probability, 2.7 and 10.6% of the participants demanded at least a pCR rate of 5 and 10%, respectively, while 25.7% were satisfied with 20% probability, and another 25.7% with a pCR rate of 30%. CONCLUSIONS: The vast majority of the long-term experienced physicians would embrace the implementation of a further method such as the prediction of pCR probability in clinical routine to support decision making regarding the necessity of neoadjuvant chemotherapy. The cut-off of around 30% pCR probability seems to be a realizable rate to distinguish patient groups.
format Online
Article
Text
id pubmed-6059863
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Georg Thieme Verlag KG
record_format MEDLINE/PubMed
spelling pubmed-60598632018-07-26 Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians Gass, Paul Untch, Michael Müller, Volkmar Möbus, Volker Thomssen, Christoph Häberle, Lothar Erber, Ramona Hein, Alexander Jud, Sebastian Michael Lux, Michael P. Hack, Carolin C. Hartmann, Arndt Kolberg, Hans-Christian Ettl, Johannes Lüftner, Diana Jackisch, Christian Beckmann, Matthias W. Janni, Wolfgang Schneeweiss, Andreas Fasching, Peter A. Nabieva, Naiba Geburtshilfe Frauenheilkd BACKGROUND: In women with early breast cancer, a pathological complete response (pCR) after neoadjuvant chemotherapy is reported to be associated with an improvement of the survival. The aim of this survey among physicians was to investigate whether the probability of achieving pCR in patients with a hormone receptor-positive, HER2-negative disease encourages physicians to recommend neoadjuvant chemotherapy. METHODS: The study was conducted via an online survey that was sent to 493 physicians, who were either known as members of national guideline committees, heads of breast cancer centers, being high recruiters in clinical trials or leading a private practice. Participants were asked about a specific case that should resemble patients for whom it is unclear, whether they should be treated with chemotherapy. RESULTS: 113 (24.5%) physicians participated at the survey, out of which 96.5% had a work experience of more than 10 years and 94.7% were board certified in their specialty. A total of 84.1% would consider pCR for a decision concerning neoadjuvant chemotherapy. With regard to the pCR probability, 2.7 and 10.6% of the participants demanded at least a pCR rate of 5 and 10%, respectively, while 25.7% were satisfied with 20% probability, and another 25.7% with a pCR rate of 30%. CONCLUSIONS: The vast majority of the long-term experienced physicians would embrace the implementation of a further method such as the prediction of pCR probability in clinical routine to support decision making regarding the necessity of neoadjuvant chemotherapy. The cut-off of around 30% pCR probability seems to be a realizable rate to distinguish patient groups. Georg Thieme Verlag KG 2018-07 2018-07-25 /pmc/articles/PMC6059863/ /pubmed/30057427 http://dx.doi.org/10.1055/a-0642-9462 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Gass, Paul
Untch, Michael
Müller, Volkmar
Möbus, Volker
Thomssen, Christoph
Häberle, Lothar
Erber, Ramona
Hein, Alexander
Jud, Sebastian Michael
Lux, Michael P.
Hack, Carolin C.
Hartmann, Arndt
Kolberg, Hans-Christian
Ettl, Johannes
Lüftner, Diana
Jackisch, Christian
Beckmann, Matthias W.
Janni, Wolfgang
Schneeweiss, Andreas
Fasching, Peter A.
Nabieva, Naiba
Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title_full Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title_fullStr Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title_full_unstemmed Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title_short Using Probability for Pathological Complete Response (pCR) as a Decision Support Marker for Neoadjuvant Chemotherapy in HER2 Negative Breast Cancer Patients – a Survey Among Physicians
title_sort using probability for pathological complete response (pcr) as a decision support marker for neoadjuvant chemotherapy in her2 negative breast cancer patients – a survey among physicians
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059863/
https://www.ncbi.nlm.nih.gov/pubmed/30057427
http://dx.doi.org/10.1055/a-0642-9462
work_keys_str_mv AT gasspaul usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT untchmichael usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT mullervolkmar usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT mobusvolker usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT thomssenchristoph usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT haberlelothar usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT erberramona usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT heinalexander usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT judsebastianmichael usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT luxmichaelp usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT hackcarolinc usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT hartmannarndt usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT kolberghanschristian usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT ettljohannes usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT luftnerdiana usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT jackischchristian usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT beckmannmatthiasw usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT janniwolfgang usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT schneeweissandreas usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT faschingpetera usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians
AT nabievanaiba usingprobabilityforpathologicalcompleteresponsepcrasadecisionsupportmarkerforneoadjuvantchemotherapyinher2negativebreastcancerpatientsasurveyamongphysicians