Nodal Response to Neoadjuvant Chemotherapy Predicts Receipt of Radiation Therapy After Breast Cancer Diagnosis.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
01 02 2020
Historique:
received: 18 07 2019
revised: 14 10 2019
accepted: 23 10 2019
pubmed: 5 11 2019
medline: 15 2 2020
entrez: 4 11 2019
Statut: ppublish

Résumé

Pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) is associated with improved overall survival (OS) in patients with breast cancer, but it is unclear how post-NACT response influences radiation therapy administration in patients presenting with node-positive disease. We sought to determine whether nodal pCR is associated with likelihood of receiving nodal radiation and whether radiation therapy among patients experiencing nodal pCR is associated with improved OS. Clinical N1 (cN1) female breast cancer patients diagnosed during 2010 to 2015 who were ypN0 (ie, nodal pCR; n = 12,341) or ypN1 (ie, residual disease; n = 13,668) after NACT were identified in the National Cancer Database. Multivariate logistic regression was used to identify factors associated with receiving radiation therapy. Cox proportional hazards modeling was used to estimate the association between radiation therapy and adjusted OS. The study included 26,009 patients; 43.9% (n = 5423) of ypN0 and 55.3% (n = 7556) of ypN1 patients received nodal radiation. Rates of nodal radiation remained the same over time among ypN0 patients (trend test, P = .29) but increased among ypN1 patients from 49% in 2010 to 59% in 2015 (trend test, P < .001). After adjusting for covariates, nodal pCR (vs no stage change) was associated with decreased likelihood of nodal radiation after mastectomy (∼20% decrease) and lumpectomy (∼30% decrease; both P < .01). After mastectomy, nodal (vs no) radiation conferred no significant survival benefit in ypN0 patients, but it approached significance for ypN1 patients (hazard ratio [HR], 0.83; 95% confidence interval [CI], 0.69-0.99, P = .04; overall P = .11). After lumpectomy, nodal radiation was associated with improved adjusted OS for ypN0 (HR, 0.38; 95% CI, 0.22-0.66) and ypN1 patients (HR, 0.44; 95% CI, 0.30-0.66; both P < .001), but this improvement was not significantly greater than that associated with breast-only radiation. ypN0 patients were less likely to receive nodal radiation than ypN1 patients were, suggesting that selective omission already occurs and, in the context of limited survival data, could potentially be appropriate for select patients.

Sections du résumé

BACKGROUND
Pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) is associated with improved overall survival (OS) in patients with breast cancer, but it is unclear how post-NACT response influences radiation therapy administration in patients presenting with node-positive disease. We sought to determine whether nodal pCR is associated with likelihood of receiving nodal radiation and whether radiation therapy among patients experiencing nodal pCR is associated with improved OS.
METHODS AND MATERIALS
Clinical N1 (cN1) female breast cancer patients diagnosed during 2010 to 2015 who were ypN0 (ie, nodal pCR; n = 12,341) or ypN1 (ie, residual disease; n = 13,668) after NACT were identified in the National Cancer Database. Multivariate logistic regression was used to identify factors associated with receiving radiation therapy. Cox proportional hazards modeling was used to estimate the association between radiation therapy and adjusted OS.
RESULTS
The study included 26,009 patients; 43.9% (n = 5423) of ypN0 and 55.3% (n = 7556) of ypN1 patients received nodal radiation. Rates of nodal radiation remained the same over time among ypN0 patients (trend test, P = .29) but increased among ypN1 patients from 49% in 2010 to 59% in 2015 (trend test, P < .001). After adjusting for covariates, nodal pCR (vs no stage change) was associated with decreased likelihood of nodal radiation after mastectomy (∼20% decrease) and lumpectomy (∼30% decrease; both P < .01). After mastectomy, nodal (vs no) radiation conferred no significant survival benefit in ypN0 patients, but it approached significance for ypN1 patients (hazard ratio [HR], 0.83; 95% confidence interval [CI], 0.69-0.99, P = .04; overall P = .11). After lumpectomy, nodal radiation was associated with improved adjusted OS for ypN0 (HR, 0.38; 95% CI, 0.22-0.66) and ypN1 patients (HR, 0.44; 95% CI, 0.30-0.66; both P < .001), but this improvement was not significantly greater than that associated with breast-only radiation.
CONCLUSIONS
ypN0 patients were less likely to receive nodal radiation than ypN1 patients were, suggesting that selective omission already occurs and, in the context of limited survival data, could potentially be appropriate for select patients.

Identifiants

pubmed: 31678225
pii: S0360-3016(19)33962-8
doi: 10.1016/j.ijrobp.2019.10.039
pmc: PMC6957225
mid: NIHMS1547004
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

377-389

Subventions

Organisme : NCATS NIH HHS
ID : KL2 TR002554
Pays : United States
Organisme : NCI NIH HHS
ID : K08 CA241390
Pays : United States
Organisme : NCI NIH HHS
ID : K08 CA228631
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI064518
Pays : United States
Organisme : NICHD NIH HHS
ID : K12 HD043446
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Références

J Clin Oncol. 2012 May 20;30(15):1796-804
pubmed: 22508812
J Clin Oncol. 2014 Nov 10;32(32):3600-6
pubmed: 25135994
Ann Surg. 2018 Oct;268(4):591-601
pubmed: 30048319
N Engl J Med. 2015 Jul 23;373(4):317-27
pubmed: 26200978
Lancet. 2010 Jan 30;375(9712):377-84
pubmed: 20113825
J Clin Oncol. 2009 Jun 20;27(18):2946-53
pubmed: 19364968
Lancet. 2014 Jun 21;383(9935):2127-35
pubmed: 24656685
Lancet. 2014 Jul 12;384(9938):164-72
pubmed: 24529560
J Clin Oncol. 2005 Apr 20;23(12):2694-702
pubmed: 15837984
Ann Surg Oncol. 2016 Oct;23(11):3467-3474
pubmed: 27160528
Int J Radiat Oncol Biol Phys. 2019 Sep 1;105(1):174-182
pubmed: 31085287
Lancet Oncol. 2016 Jun;17(6):791-800
pubmed: 27179402
J Clin Oncol. 2000 Mar;18(6):1220-9
pubmed: 10715291
N Engl J Med. 2015 Jul 23;373(4):307-16
pubmed: 26200977

Auteurs

Oluwadamilola M Fayanju (OM)

Department of Surgery, Duke University Medical Center, Durham, North Carolina; Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Forge, Duke University, Durham, North Carolina; Department of Surgery, Durham VA Medical Center, Durham, North Carolina. Electronic address: lola.fayanju@duke.edu.

Yi Ren (Y)

Biostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina.

Gita Suneja (G)

Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina; Radiation Oncology and Imaging, Duke Cancer Institute, Durham, North Carolina; Duke Global Health Institute, Duke University, Durham, North Carolina.

Samantha M Thomas (SM)

Biostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

Rachel A Greenup (RA)

Department of Surgery, Duke University Medical Center, Durham, North Carolina; Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Jennifer K Plichta (JK)

Department of Surgery, Duke University Medical Center, Durham, North Carolina; Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina.

Laura H Rosenberger (LH)

Department of Surgery, Duke University Medical Center, Durham, North Carolina; Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina.

Jeremy Force (J)

Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.

Terry Hyslop (T)

Duke Forge, Duke University, Durham, North Carolina; Duke Global Health Institute, Duke University, Durham, North Carolina.

E Shelley Hwang (ES)

Department of Surgery, Duke University Medical Center, Durham, North Carolina; Women's Cancer Program, Duke Cancer Institute, Durham, North Carolina.

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