scholarly journals A Cohort Study of p53 Mutations and Protein Accumulation in Benign Breast Tissue and Subsequent Breast Cancer Risk

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Geoffrey C. Kabat ◽  
Rita A. Kandel ◽  
Andrew G. Glass ◽  
Joan G. Jones ◽  
Neal Olson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Confidence Intervals ◽  
Breast Tissue ◽  
Benign Breast Disease ◽  
P53 Protein ◽  
Breast Disease ◽  
Genetic Alterations ◽  
Protein Accumulation ◽  
Missense Mutations ◽  
Increased Risk

Mutations in the p53 tumor suppressor gene and accumulation of its protein in breast tissue are thought to play a role in breast carcinogenesis. However, few studies have prospectively investigated the association of p53 immunopositivity and/or p53 alterations in women with benign breast disease in relation to the subsequent risk of invasive breast cancer. We carried out a case-control study nested within a large cohort of women biopsied for benign breast disease in order to address this question. After exclusions, 491 breast cancer cases and 471 controls were available for analysis. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI). Neither p53 immunopositivity nor genetic alterations in p53 (either missense mutations or polymorphisms) was associated with altered risk of subsequent breast cancer. However, the combination of both p53 immunopositivity and any p53 nucleotide change was associated with an approximate 5-fold nonsignificant increase in risk (adjusted OR 4.79, 95% CI 0.28–82.31) but the confidence intervals were extremely wide. Our findings raise the possibility that the combination of p53 protein accumulation and the presence of genetic alterations may identify a group at increased risk of breast cancer.

Evaluation of the expression levels of nm23-h1 mRNA in primary breast cancer, benign breast disease, axillary lymph nodes and normal breast tissue

Pathology ◽  
1994 ◽  
Vol 26 (4) ◽  
pp. 423-428 ◽  
Author(s):  
Rebecca J. Goodall ◽  
Hugh J.S. Dawkins ◽  
Peter D. Robbins ◽  
Erika Hähnel ◽  
Mohinder Sarna ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Primary Breast Cancer ◽  
Breast Tissue ◽  
Benign Breast Disease ◽  
Normal Breast Tissue ◽  
Breast Disease ◽  
Normal Breast ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph

Prognostic Value of p53 for Local Failure in Mastectomy-Treated Breast Cancer Patients

2000 ◽  
Vol 18 (9) ◽  
pp. 1906-1913 ◽  
Author(s):  
R.C. Zellars ◽  
S.G. Hilsenbeck ◽  
G.M. Clark ◽  
D.C. Allred ◽  
T.S. Herman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
P53 Protein ◽  
Local Relapse ◽  
Nodal Status ◽  
Local Failure ◽  
Nuclear Accumulation ◽  
Protein Accumulation ◽  
Breast Cancer Patients ◽  
Increased Risk

PURPOSE: The loss of p53 function is a recognized adverse prognostic factor in invasive breast cancer. Several studies have shown a relationship between the nuclear accumulation of p53 protein (a surrogate marker of p53 inactivation) and poor disease-free and overall survival. In general, however, these studies did not report the prognostic value of p53 for local failure, which we have therefore assessed retrospectively here. MATERIALS AND METHODS: Accumulation of p53 protein was evaluated by immunohistochemistry in 1,530 mastectomy-treated breast cancer patients (259 radiation therapy [RT]– and 1,271 mastectomy only [No RT]–treated patients). Statistical comparisons were made between p53 protein accumulation, estrogen/progesterone receptors, nodal status, tumor size, and local failure rate (LFR). Local failure was defined as tumor recurrence involving the chest wall and/or the ipsilateral supraclavicular/axillary lymph nodes. The median follow-up period was 62 months. RESULTS: In the No RT group, the LFR was 9.1% and 16.5% in p53-negative and p53-positive patients, respectively (P < .001). Multivariate analysis revealed that p53 protein accumulation was significantly associated with an increased risk of local relapse (relative risk [RR], 1.7; 95% confidence interval [CI], 1.2 to 2.4). Nodal status and tumor size were also significant factors. In the RT group, the LFR was 9.3% and 21.5% in p53-negative and p53-positive patients, respectively (P = .009). Multivariate analysis revealed that p53 protein accumulation was significantly associated with an increased risk of local relapse (RR, 2.5; 95% CI, 1.1 to 5.7), as was nodal status. CONCLUSION: Nuclear accumulation of p53 protein is independently associated with a significantly increased local failure rate in breast cancer patients treated with mastectomy, with or without radiation.

Association of breast cancer and diabetes mellitus in Korean postmenopausal women

2020 ◽  
Author(s):  
Boram Kim ◽  
Jee Hye Han ◽  
Hee Yong Kwak ◽  
Kil Young Kwon ◽  
Junghwan Kim
Keyword(s):  
Breast Cancer ◽  
Diabetes Mellitus ◽  
Postmenopausal Women ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
University Hospital ◽  
Control Group ◽  
Breast Clinic ◽  
Cancer Group ◽  
Increased Risk

Abstract Background: Diabetes mellitus has been associated with an increased risk of breast cancer. This association is, however, controversial, and not elucidated in Asia. This study aimed to determine the association between diabetes mellitus and breast cancer risk in Korean women.Methods: This retrospective study included subjects who underwent an ultrasound-localized needle-extracted biopsy to investigate questionable breast findings at the Eulji University Hospital breast clinic in Seoul, Korea, between 2000 and 2019. The medical records of the participants were reviewed to determine their age, diabetic status, and breast pathology findings. The participants were categorized into two groups, namely, the control group, that included those with benign breast disease; and, the breast cancer group. Logistic regression analyses were performed to assess the association between diabetes and breast cancer amongst pre- and post-menopausal participants.Results: A total of 1268 participants were included in this analysis. We found that diabetes was significantly associated with an increased odds of breast cancer (odds ratio [OR] 2.24; 95% confidence interval [CI], 1.76 to 2.84). Additionally, postmenopausal participants (aged ≥ 50 years) showed increased odds for breast cancer (OR 4.32; 95% CI, 3.37 to 5.53). The association between diabetes and breast cancer was significant, after adjusting for age, in the postmenopausal group (adjusted OR [aOR] 1.60; 95% CI, 1.09 to 2.35), but was not significant in the premenopausal group (aOR 1.10; 95% CI, 0.76 to 1.60).Conclusion: Diabetes was associated with increased odds of breast cancer compared to benign breast disease in postmenopausal women in Korea.

Prostate specific antigen in breast cancer, benign breast disease and normal breast tissue

1996 ◽  
Vol 40 (2) ◽  
pp. 171-178 ◽  
Author(s):  
He Yu ◽  
Eleftherios P. Diamandis ◽  
Michael Levesque ◽  
Maurizia Giai ◽  
Riccardo Roagna ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prostate Specific Antigen ◽  
Breast Tissue ◽  
Benign Breast Disease ◽  
Normal Breast Tissue ◽  
Specific Antigen ◽  
Breast Disease ◽  
Normal Breast

scholarly journals Macrophagic “Crown-like Structures” Are Associated with an Increased Risk of Breast Cancer in Benign Breast Disease

2017 ◽  
Vol 11 (2) ◽  
pp. 113-119 ◽  
Author(s):  
Jodi M. Carter ◽  
Tanya L. Hoskin ◽  
M. Alvaro Pena ◽  
Rushin Brahmbhatt ◽  
Stacey J. Winham ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Increased Risk

scholarly journals Somatic Genetic Aberrations in Benign Breast Disease and the Risk of Subsequent Breast Cancer

2019 ◽  
Author(s):  
Zexian Zeng ◽  
Andy Vo ◽  
Xiaoyu Li ◽  
Ali Shidfar ◽  
Paulette Saldana ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Risk ◽  
Invasive Breast Cancer ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Genetic Alterations ◽  
Benign Lesions ◽  
Genetic Aberrations ◽  
Established Risk Factor ◽  
Number Variation

AbstractIt is largely unknown how the risk of development of breast cancer is transduced by somatic genetic alterations. To address this lacuna of knowledge and acknowledging that benign breast disease (BBD) is an established risk factor for breast cancer, we established a case-control study: The Benign Breast & Cancer Risk (BBCAR) Study. Cases are women with BBD who developed subsequent invasive breast cancer (IBC) at least 3 years after the biopsy and controls are women with BBD who did not develop IBC (median follow-up 16.6 years). We selected 135 cases and individually matched controls (1:2) to cases based on age and type of benign disease: non-proliferative or proliferation without atypia. Whole exome sequencing was performed on DNA from the benign lesions and from subsets with available germline DNA or tumor DNA. Although the number of cases and controls with copy number variation data is limited, several amplifications and deletions are exclusive to the cases. In addition to two known mutational signatures, a novel signature was identified that is significantly (p=0.007) associated with triple negative breast cancer. The somatic mutation rate in benign lesions is similar to that of invasive breast cancer and does not differ between cases and controls. Two mutated genes are significantly associated with time to the diagnosis of breast cancer, and mutations shared between the benign biopsy tissue and the breast malignancy for the ten cases for which we had matched pairs were identified. BBD tissue is a rich source of clues to breast oncogenesis.One Sentence SummaryGenetic aberrations in benign breast lesions distinguish breast cancer cases from controls and predict cancer risk.

scholarly journals Assessment of breast carcinoma by correlating BI-RADS scoring with mammographic density

2020 ◽  
Vol 7 (11) ◽  
pp. 3674
Author(s):  
Simranjit K. Dhadiala ◽  
Shilpa Patankar
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Mammographic Density ◽  
Breast Density ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Breast Cancer Risk Factor ◽  
Breast Disease ◽  
Cancer Risk Factor ◽  
Increased Risk

Background: Breast density assessed by mammogram expressed in percentage of density of breast tissue reflects variations in breast tissue composition and is strongly associated with increased risk of breast cancer. The BI-RADS density method was created to indicate whether a mammogram represents a negative, benign or suspected malignant finding. To assess breast carcinoma by correlating breast imaging-reporting and data system (BI-RADS) scoring with mammographic density.Methods: A total of 100 consecutive female patients with breast lump were assessed. The findings of the radiological examination and the histopathology results were subsequently analyzed to study the details of the breast disease in the group surveyed. BI-RADS classifications of breast density was extracted from mammography reports.Results: Majority of patients were having BI-RADS score 4 (33%) followed by BI-RADS score 5 (30%). Majority of the patients were having percentage breast density 4 (35%) followed by Percentage breast density 3 (28%). BI-RADS score and percentage breast density had statistically significant correlation (p<0.05).Conclusions: The BI-RADS score and percentage breast density by mammography had statistically significant correlation. Mammographic density is a strong breast cancer risk factor.

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