Rare types of breast carcinoma

• Autorzy: Daiva Gudaviciene , Laura Steponaviciene , Raimundas Meskauskas , Giedre Smailyte , Eduardas Aleknavicius
• Języki publikacji: EN

Abstrakty

EN

Breast cancer (BC) is a heterogeneous disease that encompasses several distinct entities with remarkably different characteristics. Histological type is one of important BC characteristics. Histological type is associated with differences in epidemiology, diagnostic issues, clinical course, prognosis. When we talk about BC, ductal and lobular carcinoma is usually what we have in mind. However, the other types that comprise less than 10% of BC are also very important. The rarity of many of these neoplasms does not allow large or randomized studies to define the optimal treatment. Many of the descriptions are from case reports and small series. The aim of this retrospective study was to analyze the data on rare breast cancers, to describe their main characteristics, and to calculate survival rates. We believe that the experience of our institution will contribute to the available data about these rare breast cancers and help in better understanding of this subgroup.

Słowa kluczowe

EN

Breast cancer; Histological type; Epithelialbreast tumors; Rare histological types

• Czasopismo: Open Medicine
• Rocznik: 2014
• Tom: 10
• Numer: 1

Daty

otrzymano

2013-10-31

zaakceptowano

2014-09-26

online

2014-11-24

Twórcy

autor

Daiva Gudaviciene

• Nacional Cancer Institute, Vilnius, Lithuania

autor

Laura Steponaviciene

• Nacional Cancer Institute, Lithuania

autor

Raimundas Meskauskas

• National Center of Pathology, Lithuania

autor

Giedre Smailyte

• Scientific Research Center, Nacional Cancer Institute,
  Lithuania

autor

Eduardas Aleknavicius

• Radiotherapy and drug therapy center,
  Nacional Cancer Institute, Lithuania

Bibliografia

• ---
• [1] Reis-Filho JS, Simpson PT, Gale T, Lakhani SR. The moleculargenetics of breast cancer: the contribution of comparativegenomic hybridization. Pathol Res Pract. 2005;201;713–725
• [2] Lacroix M, Toillon RA, Leclercq G. Stable ‘portrait’ of breasttumors during progression: data from biology, pathology andgenetics. EndocrRelat Cancer. 2004;11;497–522
• [3] Simpson PT, Reis-Filho JS, Gale T, Lakhani SR. Molecularevolution of breast cancer. J Pathol. 2005;205;248–254
• [4] Tumors of the breast. Available from:http://www.iarc.fr/en/publications/pdfs-online/pat-gen/bb4/bb4-chap1.pdf
• [5] Yerushalmi R, Hayes MM, Gelmon KA. Breast carcinoma-raretypes: review of the literature Ann Oncol 2009;20:1763–1770[Crossref][WoS]
• [6] Elston CW. Classification and grading of invasive breastcarcinoma. VerhDtschGesPathol 2005;89:35-44
• [7] Pereira H, Pinder SE, Sibbering DM, Galea MH, Elston CW,Blamey RW, Robertson JF, Ellis IO. Pathological prognosticfactors in breast cancer. IV: Should you be a typer or a grader?A comparative study of two histological prognostic features inoperable breast carcinoma.Histopathol 1995 Sep;27(3):219-226
• [8] Types of breast cancer. Available from:http://www.cancerresearchuk.org/cancer-help/type/breast-cancer/about/types/rare-types-of-breast-cancer
• [9] Shepard GD, Whitman JG, Huynh TP, Sahin AA, Fornage DB,Stelling CB. Tubular Carcinoma of the Breast: Mammographicand Sonographic Features. AJR 2000;174 (1):253-257
• [10] Kuroda H, Sakamoto G, Ohnisi K, Itoyama S. Clinical andpathological features of invasive micropapillary carcinoma.Breast Cancer 2004;11: 169-174[Crossref]
• [11] Lu X, Lu X, Wang ZC, Iglehart JD, Zhang X, Richardson AL.Predicting features of breast cancer with gene expressionpatterns. Breast Cancer Res Treat 2008;108:191–201[WoS]
• [12] Dunkler D, Michiels S, Schemper M. Gene expression profiling:does it add predictive accuracy to clinical characteristics incancer prognosis? Eur J Cancer 2007;43:745–751[Crossref][WoS]
• [13] Pathology Reporting of Breast Disease: A Joint DocumentIncorporating the Third Edition of the NHS Breast ScreeningProgramme’s Guidelines for Pathology Reporting in BreastCancer Screening and the Second Edition of The Royal Collegeof Pathologists’ Minimum Dataset for Breast Cancer Histopathology.Sheffield; NHS Cancer Screening Programmes and theRoyal College of Pathologists; 2005

Identyfikatory

DOI

10.1515/med-2015-0016