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Perineural Invasion as a Risk Factor for Locoregional Recurrence of Invasive Breast Cancer

Authors :
Beryl McCormick
Zhigang Zhang
Oren Cahlon
Lior Z. Braunstein
A.J. Xu
Hannah Wen
John J. Cuaron
Priyanka Narayan
Boris Mueller
Simon N. Powell
Erin F. Gillespie
Atif J. Khan
Jessica Flynn
Source :
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021), Scientific Reports
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

PURPOSE/OBJECTIVE(S) Perineural invasion (PNI) is a pathologic finding observed across a spectrum of solid tumors, typically with adverse prognostic implications. Little is known about how the presence of PNI influences locoregional recurrence (LRR) among breast cancers. We evaluated the association between PNI and LRR among an unselected, broadly representative cohort of breast cancer patients, and among a propensity-score matched cohort. MATERIALS/METHODS We ascertained breast cancer patients seen at our institution from 2008 to 2019 for whom PNI status and salient clinicopathologic features were available. Fine-Gray regression models were constructed to evaluate the association between PNI and LRR, accounting for age, tumor size, nodal involvement, estrogen receptor (ER), progesterone receptor (PR), HER2 status, histologic tumor grade, presence of lymphovascular invasion (LVI), and receipt of chemotherapy and/or radiation. Analyses were then refined by comparing PNI-positive patients to a PNI-negative cohort defined by propensity score matching. RESULTS Among 8,864 invasive breast cancers, 1384 (15.6%) were noted to harbor PNI. At a median follow-up of 6.3 years, 428 locoregional recurrence events were observed yielding a 7-year LRR of 7.1% (95% CI 5.5-9.1) for those with PNI and 4.7% (95% CI 4.2-5.3; P = 0.01) for those without. On univariate analysis throughout the entire cohort, presence of PNI was significantly associated with an increased risk of LRR (HR 1.39, 95% CI 1.08 - 1.78, P < 0.01). Accounting for differences in salient clinicopathologic and treatment parameters by multivariable Fine-Gray regression modeling, the association between PNI and LRR was potentiated (HR = 1.57, 95% CI 1.2 - 2.07, P = 0.001). We further conducted propensity score matching to balance clinicopathologic parameters and treatments between the two groups (PNI vs not), again showing a similar significant association between PNI and LRR (HR = 1.46, 95% CI 1.03 - 2.08, P = 0.034). CONCLUSION PNI is significantly associated with LRR following the definitive treatment of invasive breast cancer. The excess risk conferred by PNI is similar in magnitude to that observed with LVI, or by ER/PR negativity. Breast cancer prognostication and therapeutic decision-making should consider the presence of PNI among other salient risk factors. Larger studies among more uniform breast cancer presentations may elucidate the extent to which these findings apply across breast cancer subtypes and stages.

Details

ISSN :
03603016
Volume :
111
Database :
OpenAIRE
Journal :
International Journal of Radiation Oncology*Biology*Physics
Accession number :
edsair.doi.dedup.....4422c3d9e2cbcf0a49d88e2de9d80a3a
Full Text :
https://doi.org/10.1016/j.ijrobp.2021.07.710