Invasive Papillary Carcinoma of the Breast: Clinicopathological Features and Hormone Receptor Profile.

breast cancer estrogen receptor human epidermal growth factor receptor 2 invasive ductal carcinoma invasive papillary carcinoma ki67 papillary lesions progesterone receptor

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
22 Feb 2021
Historique:
entrez: 29 3 2021
pubmed: 30 3 2021
medline: 30 3 2021
Statut: epublish

Résumé

Introduction Papillary neoplasms are a heterogeneous group of breast lesions, ranging from benign to in situ and invasive malignant tumors. The term invasive papillary carcinoma (IPC) is reserved for rare invasive breast tumors showing greater than 90% papillary morphology. The clinical, epidemiological and pathological characteristics of IPC are not widely described in the existing literature; therefore, in this study, we evaluated the clinicopathological features and biomarker profile of IPC and compared it with invasive ductal carcinoma (IDC) diagnosed in the same study duration. Methods A retrospective study was conducted in the Department of Histopathology, Liaquat National Hospital and Medical College, from January 2013 to December 2020. During the study period, 44 cases of IPC and 1,268 cases of IDC were diagnosed. Slides and blocks of all cases were retrieved and histopathological diagnosis was reviewed. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2/neu), and Ki67 immunohistochemical (IHC) stains were applied on representative tissue blocks. Results The mean age of the patients with IPC was 58.77±8.38 years, and the mean Ki67 index was 19.95±21.12%. The mean tumor size was 32.41±17.39 mm, and most tumors (59.1%) were tumor (T)-stage T2. Axillary metastasis was present in 13.6% cases, and 86.4% cases had nodal (N)-stage N0. ER and PR expression was noted in 72.7% cases, and HER2/neu positivity was seen in 13.6% cases. IPC cases had a higher mean age than IDC. Conversely, IPC had a lower mean Ki67 index than IDC. Similarly, IPC cases were found to have a lower frequency of axillary metastasis than IDC. IPC was noted to have a lower frequency of T3-stage and lymphovascular invasion than IDC. A higher expression of PR and lower frequency of HER2/neu expression was noted in IPC than IDC. Conclusion IPC is a rare malignant papillary breast tumor with a wide differential diagnosis and therefore poses a significant diagnostic challenge. We found that IPC had a favorable pathological profile than IDC, in terms of T-stage, Ki67 index, axillary metastasis, PR and HER2/neu expression.

Identifiants

pubmed: 33777568
doi: 10.7759/cureus.13480
pmc: PMC7989971
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e13480

Informations de copyright

Copyright © 2021, Hashmi et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Cureus. 2020 Oct 31;12(10):e11282
pubmed: 33274157
Cureus. 2020 Oct 26;12(10):e11172
pubmed: 33262909
Clin Imaging. 2007 Nov-Dec;31(6):419-21
pubmed: 17996606
Arch Pathol Lab Med. 2016 Jul;140(7):628-43
pubmed: 27362568
Cureus. 2020 Oct 18;12(10):e11026
pubmed: 33214954
Am Surg. 2012 Mar;78(3):E144-5
pubmed: 22524741
Breast Cancer Res Treat. 2010 Aug;122(3):637-45
pubmed: 20524058
Int J Cancer. 2007 Jul 1;121(1):127-35
pubmed: 17330844
BMC Res Notes. 2018 Jul 31;11(1):531
pubmed: 30064485

Auteurs

Atif A Hashmi (AA)

Pathology, Liaquat National Hospital and Medical College, Karachi, PAK.

Shahzeb Munawar (S)

Internal Medicine, Liaquat College of Medicine and Dentistry, Karachi, PAK.

Naumana Rehman (N)

Pathology, Khyber Medical University, Peshawar, PAK.

Omer Ahmed (O)

Internal Medicine, Liaquat National Hospital and Medical College, Karachi, PAK.

Sabeeh Islam (S)

Internal Medicine, St. Vincent Health Center, Buffalo, USA.
Internal Medicine, Faisalabad Medical University, Faisalabad, PAK.

Ishaq Azeem Asghar (IA)

Pathology, Ascension St. John Hospital, Detroit, USA.

Anoshia Afzal (A)

Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, USA.

Muhammad Irfan (M)

Statistics, Liaquat National Hospital and Medical College, Karachi, PAK.

Farozaan Shamail (F)

Pathology, Ziauddin University, Karachi, PAK.

Syed J Ali (SJ)

Pathology, Dow University of Health Sciences, Karachi, PAK.

Classifications MeSH