Literature DB >> 20081814

Predictors of invasion in needle core biopsies of the breast with ductal carcinoma in situ.

Edna May L Go1, Siu-Ki Chan, Joaquim S L Vong, Philip C W Lui, Anthony W H Chan, Tony K F Ma, Mark A Ang, Bonita K B Law, Puay-Hoon Tan, Gary M Tse.   

Abstract

A significant proportion of ductal carcinomas in situ (DCISs) of the breast diagnosed on core biopsies had invasion upon excision. An assessment of various invasion predictors in the biopsies yielded conflicting results. A cohort of 157 cases with needle core biopsy diagnosed with DCISs (including 109 histologically proven DCISs, and 48 cases with invasion upon excision) were evaluated for the numbers of positive and total cores, the percentage of positivity, lobular cancerization, tumor nuclear grade, necrosis, calcification, predominate histological pattern, lymphocytic infiltrate and excisional tumor size. The mean positive core percentage and excisional tumor size were 76% and 2.8 cm for invasive and 66% and 1.9 cm for noninvasive groups. In the biopsy of the invasive group, cancerization of lobules was present in 52%, and nuclear grades 1, 2 and 3 were present in 31, 31 and 38%, respectively. Large comedo and small noncomedo necroses were present in 48 and 10%, whereas large and small calcifications were present in 16 and 21%. Solid, cribriform and papillary patterns were observed in 88, 38 and 21%, respectively. Moderate to marked lymphoid infiltrate was present in 31%. In the biopsy of the noninvasive group, cancerization of lobules was present in 69%, and the nuclear grades 1, 2 and 3 were present in 23, 48 and 29%, respectively. Large comedo and small noncomedo necroses were present in 35 and 11%, whereas large and small calcifications were present in 33 and 23%. Solid, cribriform and papillary patterns were observed in 85, 39 and 9%, respectively. Moderate to marked lymphoid infiltrate was present in 36%. Comparing these groups, a higher positive core percentage, papillary pattern and less cancerization of lobules in the cores and larger excisional tumor size were associated with a higher chance of invasion. Calcification, necrosis and nuclear grade were not significant invasion predictors.

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Year:  2010        PMID: 20081814     DOI: 10.1038/modpathol.2009.187

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  7 in total

1.  Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?

Authors:  Michael R Harowicz; Ashirbani Saha; Lars J Grimm; P Kelly Marcom; Jeffrey R Marks; E Shelley Hwang; Maciej A Mazurowski
Journal:  J Magn Reson Imaging       Date:  2017-02-09       Impact factor: 4.813

2.  MCT1 in Invasive Ductal Carcinoma: Monocarboxylate Metabolism and Aggressive Breast Cancer.

Authors:  Jennifer M Johnson; Paolo Cotzia; Roberto Fratamico; Lekha Mikkilineni; Jason Chen; Daniele Colombo; Mehri Mollaee; Diana Whitaker-Menezes; Marina Domingo-Vidal; Zhao Lin; Tingting Zhan; Madalina Tuluc; Juan Palazzo; Ruth C Birbe; Ubaldo E Martinez-Outschoorn
Journal:  Front Cell Dev Biol       Date:  2017-04-03

3.  Factors predictive of invasive ductal carcinoma in cases preoperatively diagnosed as ductal carcinoma in situ.

Authors:  Koji Takada; Shinichiro Kashiwagi; Yuka Asano; Wataru Goto; Tamami Morisaki; Katsuyuki Takahashi; Hisakazu Fujita; Tsutomu Takashima; Shuhei Tomita; Kosei Hirakawa; Masaichi Ohira
Journal:  BMC Cancer       Date:  2020-06-03       Impact factor: 4.430

4.  Development and evaluation of a prediction model for underestimated invasive breast cancer in women with ductal carcinoma in situ at stereotactic large core needle biopsy.

Authors:  Suzanne C E Diepstraten; Stephanie M W Y van de Ven; Ruud M Pijnappel; Petra H M Peeters; Maurice A A J van den Bosch; Helena M Verkooijen; Sjoerd G Elias
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

5.  Poorly differentiated component in gastric pinch biopsies predicts submucosal invasion.

Authors:  Sun-Mi Lee; Sun Yang; Mee Joo; Kyoung-Mee Kim; Cheol Keun Park; Soomin Ahn; Byung-Hoon Min; Jun Haeng Lee; Seonwoo Kim; Jong Chul Rhee; Jae J Kim; Gregory Y Lauwers
Journal:  Diagn Pathol       Date:  2014-02-20       Impact factor: 2.644

6.  The predictive value of calcification for the grading of ductal carcinoma in situ in Chinese patients.

Authors:  Jianchun Kong; Xiaomin Liu; Xiaodan Zhang; Yu Zou
Journal:  Medicine (Baltimore)       Date:  2020-07-10       Impact factor: 1.817

7.  Predictive factors for the presence of invasive components in patients diagnosed with ductal carcinoma in situ based on preoperative biopsy.

Authors:  Kwan Ho Lee; Jeong Woo Han; Eun Young Kim; Ji Sup Yun; Yong Lai Park; Chan Heun Park
Journal:  BMC Cancer       Date:  2019-12-10       Impact factor: 4.430

  7 in total

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