Prediction of local recurrence risk after neoadjuvant chemotherapy in patients with primary breast cancer: Clinical utility of the MD Anderson Prognostic Index.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 18 07 2018
accepted: 12 01 2019
entrez: 1 2 2019
pubmed: 1 2 2019
medline: 28 10 2019
Statut: epublish

Résumé

Locoregional recurrence after neoadjuvant chemotherapy for primary breast cancer is associated with poor prognosis. It is essential to identify patients at high risk of locoregional recurrence who may benefit from extended local therapy. Here, we examined the prediction accuracy and clinical applicability of the MD Anderson Prognostic Index (MDAPI). Prospective clinical data from 456 patients treated between 2003 and 2011 was analyzed. The Kaplan-Meier method was used to examine the probabilities of locoregional recurrence, local recurrence and distant metastases according to individual prognosis score, stratified by type of surgery (breast conserving therapy or mastectomy). The possible confounding of the relationship between recurrence risk and MDAPI by established risk factors was accounted for in multiple survival regression models. To define the clinical utility of the MDAPI we analyzed its performance to predict locoregional recurrence censoring patients with prior or simultaneous distant metastases. Mastectomized patients (42% of the patients) presented with more advanced tumor stage, lower tumor grade, hormone-receptor positive disease and consequently lower pathological complete response rates. Only a few patients presented with high-risk scores (2,7% MDAPI≥3). All patients with high-risk MDAPI score (MDAPI ≥3) who developed locoregional recurrence were simultaneously affected by distant metastases. Our data do not support a clinical utility of the MDAPI to guide local therapy.

Sections du résumé

BACKGROUND
Locoregional recurrence after neoadjuvant chemotherapy for primary breast cancer is associated with poor prognosis. It is essential to identify patients at high risk of locoregional recurrence who may benefit from extended local therapy. Here, we examined the prediction accuracy and clinical applicability of the MD Anderson Prognostic Index (MDAPI).
METHODS
Prospective clinical data from 456 patients treated between 2003 and 2011 was analyzed. The Kaplan-Meier method was used to examine the probabilities of locoregional recurrence, local recurrence and distant metastases according to individual prognosis score, stratified by type of surgery (breast conserving therapy or mastectomy). The possible confounding of the relationship between recurrence risk and MDAPI by established risk factors was accounted for in multiple survival regression models. To define the clinical utility of the MDAPI we analyzed its performance to predict locoregional recurrence censoring patients with prior or simultaneous distant metastases.
RESULTS
Mastectomized patients (42% of the patients) presented with more advanced tumor stage, lower tumor grade, hormone-receptor positive disease and consequently lower pathological complete response rates. Only a few patients presented with high-risk scores (2,7% MDAPI≥3). All patients with high-risk MDAPI score (MDAPI ≥3) who developed locoregional recurrence were simultaneously affected by distant metastases.
CONCLUSION
Our data do not support a clinical utility of the MDAPI to guide local therapy.

Identifiants

pubmed: 30703111
doi: 10.1371/journal.pone.0211337
pii: PONE-D-18-21287
pmc: PMC6355200
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0211337

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Laura L Michel (LL)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Laura Sommer (L)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Rosa González Silos (R)

Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Justo Lorenzo Bermejo (J)

Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.

Alexandra von Au (A)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Julia Seitz (J)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

André Hennigs (A)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Katharina Smetanay (K)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Michael Golatta (M)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Jörg Heil (J)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Florian Schütz (F)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Christof Sohn (C)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Andreas Schneeweiss (A)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

Frederik Marmé (F)

National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany.

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Classifications MeSH