Literature DB >> 24940507

Association between mammographic features and clinicopathological characteristics in invasive ductal carcinoma of breast cancer.

Shan-Shan Sun1, Bin Zhang1, Hong-Meng Zhao1, Xu-Chen Cao1.   

Abstract

The aim of the present study was to evaluate the association between mammographic features and clinicopathological characteristics in invasive ductal carcinoma. A total of 231 patients were retrospectively reviewed from January, 2011 to December, 2012. Statistical analysis was performed using Fisher's exact test, χ2 test, Spearman's correlation and logistic regression, as appropriate. Of the 231 patients who underwent mammography, malignant calcifications were significantly more frequent in carcinomas that were human epidermal growth factor receptor 2 (HER2)-positive (P=0.001) or had a >2 cm size tumor (P=0.006). The pleomorphic-type was correlated with a p53-positive status (P=0.039) or lymph node metastasis (P=0.048), whereas the indistinct amorphous-type was associated with a HER2-positive status (P=0.026). An evident mass was frequently observed in higher Ki-67 expression-level tumors (P=0.002). In conclusion, the aforementioned correlations are noteworthy as they potentially reflect tumor attributes and may serve as a guide for treatment.

Entities:  

Keywords:  breast neoplasm; clinic; invasive ductal carcinoma; mammography; pathology

Year:  2014        PMID: 24940507      PMCID: PMC4051570          DOI: 10.3892/mco.2014.297

Source DB:  PubMed          Journal:  Mol Clin Oncol        ISSN: 2049-9450


  25 in total

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Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2006-11-22       Impact factor: 2.435

2.  Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer.

Authors:  H J Shin; H H Kim; M O Huh; M J Kim; A Yi; H Kim; B H Son; S H Ahn
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3.  Prognostic value of p53 protein expression and clinicopathological factors in infiltrating ductal carcinoma of the breast. A study of 192 patients.

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Journal:  J Natl Cancer Inst       Date:  2000-05-03       Impact factor: 13.506

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Journal:  Eur J Radiol       Date:  2006-09-20       Impact factor: 3.528

6.  Mammographic tumor features can predict long-term outcomes reliably in women with 1-14-mm invasive breast carcinoma.

Authors:  Laszlo Tabar; Hsiu-Hsi Tony Chen; M F Amy Yen; Tibor Tot; Tao-Hsin Tung; Li-Sheng Chen; Yueh-Hsia Chiu; Stephen W Duffy; Robert A Smith
Journal:  Cancer       Date:  2004-10-15       Impact factor: 6.860

7.  Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene.

Authors:  D J Slamon; G M Clark; S G Wong; W J Levin; A Ullrich; W L McGuire
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8.  Imaging differences in metaplastic and invasive ductal carcinomas of the breast.

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Journal:  AJR Am J Roentgenol       Date:  2007-12       Impact factor: 3.959

9.  Correlations between the mammographic features of ductal carcinoma in situ (DCIS) and C-erbB-2 oncogene expression. Nottingham Breast Team.

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Journal:  Clin Radiol       Date:  1994-08       Impact factor: 2.350

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Journal:  J Surg Oncol       Date:  2009-08-01       Impact factor: 3.454

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1.  The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.

Authors:  Kylie L Gorringe; Ian G Campbell; Dane Cheasley; Lisa Devereux; Siobhan Hughes; Carolyn Nickson; Pietro Procopio; Grant Lee; Na Li; Vicki Pridmore; Kenneth Elder; G Bruce Mann; Tanjina Kader; Simone M Rowley; Stephen B Fox; David Byrne; Hugo Saunders; Kenji M Fujihara; Belle Lim
Journal:  NPJ Breast Cancer       Date:  2020-08-07

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3.  Immunohistochemical Subtypes of The Breast Cancer in The Ultrasound and Clinical Aspect - Literature Review.

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4.  Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status.

Authors:  Chaitra Sonthineni; Namita Mohindra; Vinita Agrawal; Zafar Neyaz; Neeraj Jain; Sabaretnam Mayilvagnan; Gaurav Agarwal
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5.  Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype.

Authors:  Li Sturesdotter; Malte Sandsveden; Kristin Johnson; Anna-Maria Larsson; Sophia Zackrisson; Hanna Sartor
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

6.  Secretion of BMP-2 by tumor-associated macrophages (TAM) promotes microcalcifications in breast cancer.

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7.  Imaging Predictors for Nonsentinel Lymph Node Metastases in Breast Cancer Patients.

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8.  Gene expression profiling of calcifications in breast cancer.

Authors:  Sung Ui Shin; Jeonghoon Lee; Ju Han Kim; Won Hwa Kim; Sung Eun Song; Ajung Chu; Hoe Suk Kim; Wonshik Han; Han Suk Ryu; Woo Kyung Moon
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

9.  The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.

Authors:  Kylie L Gorringe; Ian G Campbell; Dane Cheasley; Lisa Devereux; Siobhan Hughes; Carolyn Nickson; Pietro Procopio; Grant Lee; Na Li; Vicki Pridmore; Kenneth Elder; G Bruce Mann; Tanjina Kader; Simone M Rowley; Stephen B Fox; David Byrne; Hugo Saunders; Kenji M Fujihara; Belle Lim
Journal:  NPJ Breast Cancer       Date:  2020-08-07
  9 in total

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