Treatment Patterns and Outcomes of Women with Breast Cancer and Supraclavicular Nodal Metastases.


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 21 04 2020
accepted: 25 07 2020
pubmed: 19 9 2020
medline: 15 5 2021
entrez: 18 9 2020
Statut: ppublish

Résumé

In 2002, breast cancer patients with supraclavicular nodal metastases (cN3c) were downstaged from AJCC stage IV to IIIc, prompting management with locoregional treatment. We sought to estimate the impact of multimodal therapy on overall survival (OS) in a contemporary cohort of cN3c patients. Women ≥ 18 years with cT1-T4c/cN3c invasive breast cancer who underwent systemic therapy were identified from the 2004-2016 National Cancer Database. We compared three patient cohorts: (a) cN3c + multimodal therapy (systemic therapy, surgery, and radiation); (b) cN3c + non-standard therapy; and, (c) cM1. Logistic regression identified factors associated with receipt of multimodal therapy and Kaplan-Meier was used to estimate unadjusted OS. The Cox proportional hazards model estimated effects of diagnosis and treatment on OS after adjustment. Overall, 1827 (3.7%) patients with cN3c disease and 46,919 (96.3%) cM1 patients were identified. Of cN3c patients, 74.5% (n = 1362) received multimodal therapy and 25.5% (n = 465) received non-standard therapy; receipt of multimodal therapy was associated with improved 5-year OS (multimodal: 59% vs. M1: 28% vs. non-standard: 28%, log-rank p < 0.001). Adjusting for covariates, non-standard therapy was associated with an increased risk of death compared with receipt of multimodal therapy (HR 2.20, 95% CI 1.71-2.83, p < 0.001). Private insurance was the only patient characteristic associated with a greater likelihood of receiving multimodal therapy (OR 2.81; 95% CI, 1.64-4.82; p < 0.001). Women with cN3c breast cancer who received multimodal therapy demonstrated improved overall survival when compared with patients undergoing non-standard therapy and those with metastatic (M1) disease. Although selection bias may contribute to worse overall survival among cN3c patients undergoing non-standard therapy, national guidelines should encourage locoregional treatment in carefully selected patients.

Sections du résumé

BACKGROUND BACKGROUND
In 2002, breast cancer patients with supraclavicular nodal metastases (cN3c) were downstaged from AJCC stage IV to IIIc, prompting management with locoregional treatment. We sought to estimate the impact of multimodal therapy on overall survival (OS) in a contemporary cohort of cN3c patients.
METHODS METHODS
Women ≥ 18 years with cT1-T4c/cN3c invasive breast cancer who underwent systemic therapy were identified from the 2004-2016 National Cancer Database. We compared three patient cohorts: (a) cN3c + multimodal therapy (systemic therapy, surgery, and radiation); (b) cN3c + non-standard therapy; and, (c) cM1. Logistic regression identified factors associated with receipt of multimodal therapy and Kaplan-Meier was used to estimate unadjusted OS. The Cox proportional hazards model estimated effects of diagnosis and treatment on OS after adjustment.
RESULTS RESULTS
Overall, 1827 (3.7%) patients with cN3c disease and 46,919 (96.3%) cM1 patients were identified. Of cN3c patients, 74.5% (n = 1362) received multimodal therapy and 25.5% (n = 465) received non-standard therapy; receipt of multimodal therapy was associated with improved 5-year OS (multimodal: 59% vs. M1: 28% vs. non-standard: 28%, log-rank p < 0.001). Adjusting for covariates, non-standard therapy was associated with an increased risk of death compared with receipt of multimodal therapy (HR 2.20, 95% CI 1.71-2.83, p < 0.001). Private insurance was the only patient characteristic associated with a greater likelihood of receiving multimodal therapy (OR 2.81; 95% CI, 1.64-4.82; p < 0.001).
CONCLUSION CONCLUSIONS
Women with cN3c breast cancer who received multimodal therapy demonstrated improved overall survival when compared with patients undergoing non-standard therapy and those with metastatic (M1) disease. Although selection bias may contribute to worse overall survival among cN3c patients undergoing non-standard therapy, national guidelines should encourage locoregional treatment in carefully selected patients.

Identifiants

pubmed: 32946012
doi: 10.1245/s10434-020-09024-1
pii: 10.1245/s10434-020-09024-1
pmc: PMC7940557
mid: NIHMS1648492
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2146-2154

Subventions

Organisme : NCI NIH HHS
ID : K08 CA241390
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001115
Pays : United States
Organisme : NIH Clinical Center
ID : BIRCWH K12HD043446
Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States
Organisme : NICHD NIH HHS
ID : K12 HD043446
Pays : United States
Organisme : NIH Clinical Center
ID : P30CA014236
Organisme : NIH Clinical Center
ID : 5KL2TR001115

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Auteurs

Nina P Tamirisa (NP)

Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Yi Ren (Y)

Duke Cancer Institute, Durham, NC, USA.

Brittany M Campbell (BM)

Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Samantha M Thomas (SM)

Duke Cancer Institute, Durham, NC, USA.

Oluwadamilola M Fayanju (OM)

Duke Cancer Institute, Durham, NC, USA.
Department of Surgery, Duke University School of Medicine, Durham, NC, USA.

Jennifer K Plichta (JK)

Duke Cancer Institute, Durham, NC, USA.
Department of Surgery, Duke University School of Medicine, Durham, NC, USA.

Laura H Rosenberger (LH)

Duke Cancer Institute, Durham, NC, USA.
Department of Surgery, Duke University School of Medicine, Durham, NC, USA.

Jeremy Force (J)

Duke Cancer Institute, Durham, NC, USA.
Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

Terry Hyslop (T)

Duke Cancer Institute, Durham, NC, USA.
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

E Shelley Hwang (ES)

Duke Cancer Institute, Durham, NC, USA.
Department of Surgery, Duke University School of Medicine, Durham, NC, USA.

Rachel A Greenup (RA)

Duke Cancer Institute, Durham, NC, USA. Rachel.greenup@duke.edu.
Department of Surgery, Duke University School of Medicine, Durham, NC, USA. Rachel.greenup@duke.edu.

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Classifications MeSH