A Nomogram to Predict Factors Associated with Lymph Node Metastasis in Ductal Carcinoma In Situ with Microinvasion.


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:
Dec 2019
Historique:
received: 05 03 2019
pubmed: 19 9 2019
medline: 18 4 2020
entrez: 19 9 2019
Statut: ppublish

Résumé

Ductal carcinoma in situ (DCIS) with foci of invasion measuring ≤ 1 mm (DCISM), represents < 1% of all invasive breast cancers. Sentinel lymph node biopsy (SLNB) has been a standard component of surgery for patients with invasive carcinoma or extensive DCIS. We hypothesize that selective performance of SLNB may be appropriate given the low incidence of sentinel node (SN) metastasis for DCISM. We investigated the clinicopathologic predictors for SN positivity in DCISM, to identify which patients might benefit from SLNB. A retrospective review of the National Cancer Database was performed for cases from 2012 to 2015. Clinical and tumor characteristics, including SN results, were evaluated, and Pearson's Chi square tests and logistic regression were performed. Of 7803 patients with DCISM, 306 (4%) had at least one positive SN. Patients with positive SNs were younger, more often of Black race, had higher-grade histology and larger tumor size, and were more likely to have lymphovascular invasion (LVI; all p < 0.001). In an adjusted model, the presence of LVI was associated with the highest odds ratio (OR) for node positivity (OR 8.80, 95% confidence interval 4.56-16.96). Among women with DCISM, only 4% had a positive SN. Node positivity was associated with more extensive and higher-grade DCIS, and the presence of LVI was strongly correlated with node positivity. Our data suggest that LVI is the most important factor in determining which patients with DCISM will benefit from SN biopsy.

Identifiants

pubmed: 31529311
doi: 10.1245/s10434-019-07750-9
pii: 10.1245/s10434-019-07750-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4302-4309

Auteurs

Jessica C Gooch (JC)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.
Division of Surgical Oncology, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA.

Freya Schnabel (F)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.

Jennifer Chun (J)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.

Elizabeth Pirraglia (E)

Department of Population Health, Division of Biostatistics, New York University Langone Health, New York, NY, USA.

Andrea B Troxel (AB)

Department of Population Health, Division of Biostatistics, New York University Langone Health, New York, NY, USA.

Amber Guth (A)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.

Richard Shapiro (R)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.

Deborah Axelrod (D)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA.

Daniel Roses (D)

Division of Breast Surgery, Department of Surgery, Perlmutter Comprehensive Cancer Center, New York University Langone Health, 160 East 34th St, New York, NY, 10016, USA. Daniel.roses@nyumc.org.

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Classifications MeSH