Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer
Abstract 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...
Guardado en:
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/3a024074584e41308e933a3612c387b2 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:3a024074584e41308e933a3612c387b2 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:3a024074584e41308e933a3612c387b22021-12-02T17:41:32ZPerineural invasion as a risk factor for locoregional recurrence of invasive breast cancer10.1038/s41598-021-92343-42045-2322https://doaj.org/article/3a024074584e41308e933a3612c387b22021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92343-4https://doaj.org/toc/2045-2322Abstract 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. 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. Among 8864 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). 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.Priyanka NarayanJessica FlynnZhigang ZhangErin F. GillespieBoris MuellerAmy J. XuJohn CuaronBeryl McCormickAtif J. KhanOren CahlonSimon N. PowellHannah WenLior Z. BraunsteinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Priyanka Narayan Jessica Flynn Zhigang Zhang Erin F. Gillespie Boris Mueller Amy J. Xu John Cuaron Beryl McCormick Atif J. Khan Oren Cahlon Simon N. Powell Hannah Wen Lior Z. Braunstein Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| description |
Abstract 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. 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. Among 8864 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). 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. |
| format |
article |
| author |
Priyanka Narayan Jessica Flynn Zhigang Zhang Erin F. Gillespie Boris Mueller Amy J. Xu John Cuaron Beryl McCormick Atif J. Khan Oren Cahlon Simon N. Powell Hannah Wen Lior Z. Braunstein |
| author_facet |
Priyanka Narayan Jessica Flynn Zhigang Zhang Erin F. Gillespie Boris Mueller Amy J. Xu John Cuaron Beryl McCormick Atif J. Khan Oren Cahlon Simon N. Powell Hannah Wen Lior Z. Braunstein |
| author_sort |
Priyanka Narayan |
| title |
Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| title_short |
Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| title_full |
Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| title_fullStr |
Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| title_full_unstemmed |
Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| title_sort |
perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/3a024074584e41308e933a3612c387b2 |
| work_keys_str_mv |
AT priyankanarayan perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT jessicaflynn perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT zhigangzhang perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT erinfgillespie perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT borismueller perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT amyjxu perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT johncuaron perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT berylmccormick perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT atifjkhan perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT orencahlon perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT simonnpowell perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT hannahwen perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer AT liorzbraunstein perineuralinvasionasariskfactorforlocoregionalrecurrenceofinvasivebreastcancer |
| _version_ |
1718379638187622400 |