Literature DB >> 26359880

The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.

Filiz Çelebi1, Kezban Nur Pilancı, Çetin Ordu, Filiz Ağacayak, Gül Alço, Serkan İlgün, Dauren Sarsenov, Zeynep Erdoğan, Vahit Özmen.   

Abstract

PURPOSE: The correlation between imaging findings and pathologic characteristics of tumors may provide information for diagnosis and treatment of cancer. The aim of this study is to determine whether ultrasound features of breast cancer are associated with molecular subtype, histologic grade, and hormone receptor status, as well as assess the predictive value of these features.
METHODS: A total of 201 consecutive invasive breast cancer patients were reviewed from the database according to the Breast Imaging and Reporting Data System (BI-RADS). Tumor margins were classified as circumscribed and noncircumscribed. Noncircumscribed group was divided into indistinct, spiculated, angular, and microlobulated. The posterior acoustic features were divided into four categories: shadowing, enhancement, no change, and mixed pattern.
RESULTS: Tumors with posterior shadowing were more likely to be of nontriple negative subtype (odds ratio [OR], 7.42; 95% CI, 2.10-24.99; P = 0.002), low histologic grade (grade 1 or 2 vs. grade 3: OR, 2.42; 95% CI, 1.34-4.35; P = 0.003) and having at least one positive receptor (OR, 3.36; 95% CI, 1.55-7.26; P = 0.002). Tumors with circumscribed margins were more often triple-negative subtype (OR, 6.72; 95% CI, 2.56-17.65; P < 0.001), high grade (grade 3 vs. grade 1 or 2: OR, 5.42; 95% CI, 2.66-11.00; P < 0.001) and hormone receptor negative (OR, 4.87; 95% CI, 2.37-9.99; P < 0.001).
CONCLUSION: Sonographic features are strongly associated with molecular subtype, histologic grade, and hormone receptor status of the tumor. These findings may separate triple-negative breast cancer from other molecular subtypes.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26359880      PMCID: PMC4622390          DOI: 10.5152/dir.2015.14515

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  22 in total

1.  Correlation between ultrasound characteristics, mammographic findings and histological grade in patients with invasive ductal carcinoma of the breast.

Authors:  P M Lamb; N M Perry; S J Vinnicombe; C A Wells
Journal:  Clin Radiol       Date:  2000-01       Impact factor: 2.350

2.  Posterior acoustic shadowing in benign breast lesions: sonographic-pathologic correlation.

Authors:  Susan P Weinstein; Emily F Conant; Carolyn Mies; Geza Acs; Steven Lee; Chandra Sehgal
Journal:  J Ultrasound Med       Date:  2004-01       Impact factor: 2.153

3.  Biological subtypes of triple-negative breast cancer are associated with distinct morphological changes and clinical behaviour.

Authors:  Zeinab Elsawaf; Hans-Peter Sinn; Joachim Rom; Justo Lorenzo Bermejo; Andreas Schneeweiss; Sebastian Aulmann
Journal:  Breast       Date:  2013-06-24       Impact factor: 4.380

4.  Analysis of sonographic features in the differentiation of fibroadenoma and invasive ductal carcinoma.

Authors:  P Skaane; K Engedal
Journal:  AJR Am J Roentgenol       Date:  1998-01       Impact factor: 3.959

Review 5.  Molecular evolution of breast cancer.

Authors:  Peter T Simpson; Jorge S Reis-Filho; Theodora Gale; Sunil R Lakhani
Journal:  J Pathol       Date:  2005-01       Impact factor: 7.996

6.  Assessing the role of ultrasound in predicting the biological behavior of breast cancer.

Authors:  Abid Irshad; Rebecca Leddy; Etta Pisano; Nathaniel Baker; Madelene Lewis; Susan Ackerman; Amy Campbell
Journal:  AJR Am J Roentgenol       Date:  2013-02       Impact factor: 3.959

7.  Sonographic appearance of invasive ductal carcinoma of the breast according to histologic grade.

Authors:  Jason Blaichman; James C Marcus; Tahra Alsaadi; Mona El-Khoury; Sarkis Meterissian; Benoít Mesurolle
Journal:  AJR Am J Roentgenol       Date:  2012-09       Impact factor: 3.959

8.  The current state of breast cancer classification.

Authors:  G Viale
Journal:  Ann Oncol       Date:  2012-09       Impact factor: 32.976

9.  Luminal A and luminal B (HER2 negative) subtypes of breast cancer consist of a mixture of tumors with different genotype.

Authors:  Masumi Yanagawa; Kenzo Ikemot; Shigeto Kawauchi; Tomoko Furuya; Shigeru Yamamoto; Masaaki Oka; Atunori Oga; Yukiko Nagashima; Kohsuke Sasaki
Journal:  BMC Res Notes       Date:  2012-07-25

10.  Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years.

Authors:  H J BLOOM; W W RICHARDSON
Journal:  Br J Cancer       Date:  1957-09       Impact factor: 7.640

View more
  21 in total

Review 1.  Imaging Surveillance After Primary Breast Cancer Treatment.

Authors:  Diana L Lam; Nehmat Houssami; Janie M Lee
Journal:  AJR Am J Roentgenol       Date:  2017-01-11       Impact factor: 3.959

2.  Correlation between Ultrasound Findings of Tumor Margin and Clinicopathological Findings in Patients with Invasive Ductal Carcinoma of the Breast.

Authors:  Naoko Sannomiya; Yuiko Hattori; Naoyuki Ueda; Akira Kamida; Yuki Koyanagi; Haruki Nagira; Saeko Ikunishi; Kenta Shimabayashi; Yuki Hashimoto; Aya Murata; Kengo Sato; Yumi Hirooka; Keiko Hosoya; Kiyosuke Ishiguro; Yoko Murata; Yasuaki Hirooka
Journal:  Yonago Acta Med       Date:  2016-06-29       Impact factor: 1.641

3.  Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features.

Authors:  Wenjuan Ma; Yumei Zhao; Yu Ji; Xinpeng Guo; Xiqi Jian; Peifang Liu; Shandong Wu
Journal:  Acad Radiol       Date:  2018-03-08       Impact factor: 3.173

4.  Tumor size estimation of the breast cancer molecular subtypes using imaging techniques.

Authors:  Gulten Sezgın; Melda Apaydın; Demet Etıt; Murat Kemal Atahan
Journal:  Med Pharm Rep       Date:  2020-07-22

5.  Imaging Findings and Clinicopathological Correlation of Breast Cancer in Women under 40 Years Old.

Authors:  Gamze Durhan; Aynur Azizova; Ömer Önder; Kemal Kösemehmetoğlu; Jale Karakaya; Meltem Gülsün Akpınar; Figen Demirkazık; Ayşegül Üner
Journal:  Eur J Breast Health       Date:  2019-07-01

6.  Breast Cancer in Turkey; An Analysis of 20.000 Patients with Breast Cancer.

Authors:  Vahit Özmen; Tolga Özmen; Volkan Doğru
Journal:  Eur J Breast Health       Date:  2019-07-01

7.  Identify the triple-negative and non-triple-negative breast cancer by using texture features of medicale ultrasonic image: A STROBE-compliant study.

Authors:  Qingyu Chen; Jianguo Xia; Jun Zhang
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

8.  BI-RADS 3-5 microcalcifications can preoperatively predict breast cancer HER2 and Luminal a molecular subtype.

Authors:  DongZhi Cen; Li Xu; Ningna Li; Zhiguang Chen; Lu Wang; Shuqin Zhou; Biao Xu; Chun Ling Liu; Zaiyi Liu; Tingting Luo
Journal:  Oncotarget       Date:  2017-02-21

9.  Predicting the molecular subtype of breast cancer based on mammography and ultrasound findings.

Authors:  S Rashmi; S Kamala; S Sudha Murthy; Swapna Kotha; Y Suhas Rao; K Veeraiah Chaudhary
Journal:  Indian J Radiol Imaging       Date:  2018 Jul-Sep

10.  Triple-negative invasive breast carcinoma: the association between the sonographic appearances with clinicopathological feature.

Authors:  Jia-Wei Li; Kai Zhang; Zhao-Ting Shi; Xun Zhang; Juan Xie; Jun-Ying Liu; Cai Chang
Journal:  Sci Rep       Date:  2018-06-13       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.