Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Sultan Qaboos Univ Med J ; 23(4): 526-533, 2023 Nov.
Article in English | MEDLINE | ID: mdl-38090235

ABSTRACT

Objectives: Recent molecular studies show that breast cancer (BC) is a heterogeneous disease, and several molecular changes may accumulate over time to influence treatment response. As a result, employing reliable molecular biomarkers to monitor these modifications may help deliver personalised treatment. However, this may be unrealistic in the resource-limited parts of the world. Thus, this study aimed to investigate the expression pattern of hormone receptors and p53 tumour suppressor using immunohistochemistry (IHC) in BC compared to the traditional tumour grade. Methods: In total, 205 cases were investigated, and the Modified Bloom-Richardson score system was adopted in grading the tumours. The tissue sections of the cases were stained with specific primary antibodies at dilutions of 1:60 for oestrogen receptors (ER) and progesterone receptors (PR), 1:350 for the human epidermal growth factor (HER-2/neu) and 1:50 for p53. Results: Invasive ductal carcinoma of no-specific type (n = 190, 92.7%) was predominant and grade II tumour (n = 146, 71.2%) was the most frequent. Hormone receptors ER (n = 127) and PR (n = 145) had 62.0% and 70.7% positive cases, respectively; 34.1% (n = 70) were positive for HER-2/neu, while 76.1% (n = 156) were positive for p53. Significant associations between Nottingham grade and expression patterns of ER (P <0.01), PR (P <0.001), HER-2/neu (P <0.001) and p53 (P = 0.001) were observed. Conclusion: Nottingham grade had a high degree of concordance with the patterns of expression of hormone receptors, HER-2/neu and p53, suggesting that it may play an important role in connection with the predictive and prognostic biomarkers for BC.


Subject(s)
Breast Neoplasms , Humans , Female , Breast Neoplasms/genetics , Breast Neoplasms/pathology , Receptors, Progesterone/metabolism , Tumor Suppressor Protein p53 , Receptor, ErbB-2/genetics , Receptor, ErbB-2/metabolism , Hormones
2.
Int J Health Sci (Qassim) ; 13(4): 3-9, 2019.
Article in English | MEDLINE | ID: mdl-31341449

ABSTRACT

BACKGROUND: Breast cancer (BC) is a heterogeneous disease characterized with diverse genetic and ethnic/racial variations that may influence tumor characteristics and prognosis. We studied different histological types of BC and their prognostic indicators in part of Southwestern Nigeria. MATERIALS AND METHODS: A 10-year retrospective study of archival tissue-paraffin blocks and records of surgical cases (documented as BCs) between January 2005 and December 2014 was done. Tumor classification was made after the World Health Organization guidelines. Modified Bloom-Richardson score and TNM staging system were used in grading and staging the tumors. Nottingham prognostic index was employed in scoring the prognosis. RESULTS: The mean age was 49.7 years (20-89 years). The age group from 50 to 59 years was most affected. Out of 343 total cases, the most common histological type was invasive ductal carcinoma of no special type (88.9%). The majority (51.9%) had tumor sizes ranging 2-5 cm (pT2) and some (39.1%) with >5 cm (pT3) were all at palpable stages. The tumors were mostly Grades II and III types. Observation for lymph node metastasis confirmed that 261 (76.1%) were pN0 (negative), 77 (22.4%) were pN1, and 5 (1.5%) were pN2. Prediction of a chance of survival showed moderate prognosis in the majority (48.7%) of the cases. CONCLUSION: Although early detection of BC in this region was considerably poor, there was a better outcome compared with some other black populations. Clinical presentation, histological type, and prognostic indices varied from existing reports in many ethnic/racial groups. Indexing of BC pattern on a regional standpoint may serve a new direction toward better management considering the associated geographic disparity.

SELECTION OF CITATIONS
SEARCH DETAIL
...