Journal of Oncology

Journal of Oncology / 2021 / Article

Research Article | Open Access

Volume 2021 |Article ID 7054134 |

Charity Ameh-Mensah, Babatunde Moses Duduyemi, Kweku Bedu-Addo, Elijah Atta Manu, Francis Opoku, Nicholas Titiloye, "The Analysis of bcl-2 in Association with p53 and Ki-67 in Triple Negative Breast Cancer and Other Molecular Subtypes in Ghana", Journal of Oncology, vol. 2021, Article ID 7054134, 10 pages, 2021.

The Analysis of bcl-2 in Association with p53 and Ki-67 in Triple Negative Breast Cancer and Other Molecular Subtypes in Ghana

Academic Editor: Gagan Chhabra
Received19 Apr 2021
Revised18 May 2021
Accepted25 May 2021
Published04 Jun 2021


Background. Little is known about the role of apoptosis in the tumorigenesis and prognosis of breast cancer in Ghana. Chemotherapeutic drug efficacy partially relates to apoptosis induction, rendering it a vital target in cancer therapy with unique biomarker opportunities that have not been exploited. Aberrations in this pathway are central to tumorigenesis, tumor progression, overall tumor growth, and regression during treatment therapies. Antiapoptotic bcl-2 (gene) and p53 are known to play roles in apoptosis while Ki-67 is a proliferative marker. The aim of our study is to determine the association of bcl-2 (protein) with p53 and Ki-67 in 203 consecutive breast cancer cases over a 10-year period. Method. A retrospective cross-sectional study on archival FFPE tissue blocks over a 9-year period with abstraction of clinicopathologic data. Two hundred and three consecutive and suitable FFPE blocks were selected for tissue microarray (TMA) construction, and IHC (bcl-2 (protein), Ki-67, p53, cyclin D, pan cytokeratins A and E, ER, PR, and HER2/neu) was done. Expressions of bcl-2 (protein), p53, and Ki-67 were related to histological grade, lymphovascular invasion, and molecular subtypes. SPSS version 23 was used to analyze results. Results. Most of our cases were in the fifth decade of life (31%); invasive carcinoma of no special type (NST) was predominant (87%); histological grade III (38%) was the highest; and Luminal A (19.8%), Luminal B (9.9%), HER2 (16%), and TNBC (54.3%) constituted the molecular classes. bcl-2 expression was found in 38% of the cases. Our cases also showed mutation in p53 (36.7%) and ki-67 expression (62.5%). bcl-2 (protein) and p53 significantly correlated with Luminal B and TNBC (). Ki-67 also correlated significantly with Luminal A and B and HER2 overexpression (). Premenopausal age (40–49) and histological grade inversely correlated with bcl-2 (protein) expression. p53 statistically correlated with Ki-67 (). Conclusion. Our results show high expression of bcl-2 (protein) suggesting an important role of apoptosis in Ghanaian breast cancer cases. bcl-2 (protein), p53, and Ki-67 expressions emerged interdependently from this research and can thus be manipulated in prediction and prognosis of breast cancers in our setting.

1. Introduction

Noticeable alterations in the breast occur related to proliferation, differentiation, and apoptosis through the cell cycle. A balance of these processes is crucial for homoeostasis and development with dysregulation likely to initiate tumorigenesis. Worldwide, cancer of the breast tissue is the most common invasive cancer affecting about 12% of women [1] and, occasionally, men. It affects older women but it is being seen in relatively young African females [2], probably due to late detection and poor diagnosis. Africans present high grades of breast cancers than Caucasians [3]. Breast cancer is the most common cancer in women and also the most common in the general population in Ghana. The estimated new cases were 4482 constituting 18.7% of total cancer in 2020 in both sexes (Globocan, 2020) [4]. The female gender, early age at first menstruation, obesity, lack of physical exercise, alcoholism, ionizing radiations, hormone replacement therapies in menopause, old age, having children late or not at all, and family history of breast cancer are risk factors. Diagnosis is confirmed by laboratory examinations of biopsy to ascertain the type of cancer, invasion, and metastasis as well as treatment options. Prognosis largely depends on these with respect to the person’s age. Survival rates are better in the developed world [5].

Complex error correction and prevention measures innate to the phases of the cell cycle (Go, G1, S, G2, and M) safeguard the cell. Significant errors occur but damaged cells self-destruct by apoptosis. However, some mutations pass to progeny when the apoptotic pathway is defective leading to accumulation and tumorigenesis [6]. The mutations are related to environmental factors (90–95%) in genetically susceptible hosts [7], with 5–10% inherited from parents, including Breast Cancer Associated Genes (BRCA) 1 and 2 [8]. The apoptotic pathway of cell death is characterized by distinct morphological characteristics. Control and regulation are influenced by members of the family of bcl-2 (protein) [9]. Changes in regulation by the bcl-2 family occur partly under the influence of hormones [10]. Other intercellular and intracellular proteins actively involved in the biochemical processes of cell proliferation and apoptosis in multicellular organisms include the Ki-67, p53, cyclin D, and cytokeratins [11].

Histology and immunohistochemistry (IHC) have helped to group breast cancers based on biological behavior and interactions with known factors for prediction, prognosis, and appropriate clinical management [12]. These techniques have helped to detect substantive DNA damage and other cellular process defects that caused mutations bridging traditional, clinical, pathological, predictive, and prognostic biomarkers to improve healthcare [13].

This study sought to identify some apoptotic and regulatory proteins involved in breast cancers of women diagnosed in Komfo Anokye Teaching Hospital, Kumasi. For this purpose, immunohistochemistry analysis of ER, PR, HER2, p53, and Ki-67, as well as bcl-2 (protein) as an antiapoptotic protein, is considered. Proliferation enhancement and inhibition/induction of apoptosis by these proteins were implicated in tumorigenesis. Their frequencies, roles, and effects on each other in 203 persons with breast cancer were studied and recommendations given. Breast cancers of our subregion have been grouped in standard molecular classes to help prognosis.

The role of apoptosis in physiology cannot be overemphasized as it checks the activities of mitosis and cell proliferation in the regulation of cell populations. These biomarkers (Ki-67, bcl-2 (protein), and p53) have been studied in prostate, melanomas, and other cancers in the general population [1416].

2. Methodology

This retrospective cross-sectional study was conducted on breast cancer reported, examined and diagnosed at Komfo Anokye Teaching Hospital (KATH), Kumasi, from January 2009 to December 2017. Our hospital is a referral center which serves the northern sector of Ghana and its neighbouring countries. Therefore, this study fairly covered a substantial population of the country and may represent the Ghanaian populace diagnosed with breast cancer.

Approval was obtained from the Committee on Human Research, Publications and Ethics, KNUST School of Medicine and Dentistry (CHRPE/AP/417/18), and the Research and Development Unit, Komfo Anokye Teaching Hospital (Reg. No. RD/CR18/203) on “Molecular Profiling of Breast Cancer in Kumasi.”

Demographics including age, gender, site of biopsy, histological diagnosis, histological grade of tumors, and lymphovascular invasion were abstracted from request forms, reports, and surgical daybook. Formalin fixed and paraffin embedded (FFPE) tissue blocks were collected from the archives. The tissue blocks collected were physically examined for the presence of viable tissues. Hematoxylin and eosin (H&E) stained slides were made and evaluated microscopically to confirm histological diagnoses of breast cancer. Tumors were classified using the WHO classification of breast cancers and graded by the Nottingham Grading System [17, 18]. Slides with representative sections of malignancies and their accompanying blocks were recruited for the study.

Each recruited breast tissue specimen conservatively sampled was given a new code for easy identification during the TMA recipient block construction. Representative blocks and slides were matched. Recipient paraffin blocks were made with a silicone mold supplied with a manual TMA machine (Micatu MicaArray Gen. 4). Two separate forty-eight 0.6 mm cores were excised from each with a pipette. Two 0.6 mm cores were then excised from every tumor (donor) block and released into adjacent recipient cores. Two different pipette nozzles (a small but long one and a wide but short one) were used. The small but long nozzle excised recipient cores while the wide but short one excised donor cores. The two adjacent donor cores on recipient blocks ensured that adequate tumor sections were selected, and results of all samples were confirmed. Samples of two hundred and three malignant breast cancer tissues were therefore finally reconstructed into 5 recipient tissue blocks using a manual tissue microarray (TMA) with an average of 40 tumor positive cases per block. These were heated briefly by an incandescent lamp to soften the paraffin, thereby allowing the tissue cores fit in better.

Fresh 4 μm representative sections were cut from each block onto Superfrost Plus slides. Eight different slides were made from each recipient block and immunohistochemically stained according to the standard procedure. Recipient slides were conducted through citrate buffer at pH specific to type of primary antibody and microwave heated for 10 min. Sections were incubated for 5 min in 3% H2O2 and washed with water. Drops of mouse monoclonal primary antibodies were introduced and incubated at room temperature for 60 min. Immunoreactivity during incubation resulted in the expressions of the antigens under study (bcl-2, p53, Ki-67, ER, PR, HER2/neu). Drops of DPX Mountant were meticulously applied to stained slides to prevent trapped air bubbles. Microscopy was done after slides dried up (Table 1).


bcl-2bcl-2/100ER2/20RTUTonsilLeica MicrosystemsBuffalo Grove, IL
ER1D5ER1/201 : 50Breast CABiocare MedicalConcord, CA
HER2CB 11ER1/20RTUBreast CADakoCarpinteria, CA
Ki-67MIB-1ER1/201 : 80TonsilDakoCarpinteria, CA
P53DO-71 : 40S95-13083DakoCarpinteria, CA
PRPgR 636ER1/101 : 400Endo/MyomeDakoCarpinteria, CA

Tumor cells were deemed positive for bcl-2 (protein), mutant p53, ER, PR, and Ki-67 when there was unequivocal nuclear staining in at least 1% of the tumor section. Membrane staining was used for HER2/neu scores according to ASCO/CAP guidelines [17]. Ki-67 expression was categorized as low (<6%), moderate (6–10%), and high (>10%) [18]. In homogenously stained slides, 3 high power fields are selected randomly from sample edges for Ki-67 count. This was done in anticipation of possible biological heterogeneity across samples and actively invasive peripheries. Four molecular classes were derived based on slight modifications of methods described by Carey et al. [19]: triple negative (ER−, PR−, HER2−), Luminal A (ER+ and/or PR+, HER2−), Luminal B (ER+ and/or PR+, HER2+), and HER2 enriched subtype (HER2+, ER−, PR−). The IHC scoring was done by two pathologists independently according to ASCO/CAP guidelines [17].

2.1. Statistical Analysis

Data were given new codes, tabulated, and analyzed with SPSS version 23 for estimation of associations between variables. Chi-squared test (χ2-value) compared categorical variables. At 95% confidence interval, values < 0.05 were statistically significant.

3. Results

Two hundred and three (203) malignant cases with tumor representative sections on preserved blocks were used for the study. The mean age of the cases was 49.34 years, and invasive carcinoma of no special type (NST) was the most recorded histological diagnosis (83.0%). More than half of the cases presented with histological grade III (55.7%), and 50.8% of 65 recorded cases were negative for lymphovascular invasion as shown in Table 2.

Age distributionMean (years)Standard deviation (years)

Histological diagnosesTypeFrequency (percentage)
Invasive carcinoma NST166 (83.0)
Ductal carcinoma in situ (DCIS)9 (4.5)
Metaplastic carcinoma6 (3.0)
Invasive lobular carcinoma5 (2.5)
Mucinous carcinoma5 (2.5)
Invasive papillary carcinoma2 (1.0)
Medullary carcinoma2 (1.0)
Others5 (2.5)

Histological gradeGrade I14 (9.4)
Grade II52 (34.9)
Grade III83 (55.7)

Lymphovascular invasionPositive32 (49.2)
Negative33 (50.8)

3.1. Immunohistochemistry (IHC)

bcl-2 (protein), the primary protein of interest in this research, was positively stained in about 37.9% (77 out of 203) of the cases. Most cases failed to express the traditional and conventional hormone receptors for estrogen, progesterone, and human epidermal growth factor. The other markers studied had varying expressions. p53 expression was seen in 36.7% of cases and Ki-67 in 62.1% as presented in Table 3. The DCIS was excluded from IHC. The IHC photomicrograph of various antibodies is shown in Figure 1.

BiomarkerPercentage expressed (%)




HER2 overexpression


Low (mild)62.1
High (severe)21.4

Cases were stratified into the four main molecular subclasses from ER, PR, HER2, and Ki-67 expressions. The triple negative (54%) was the most common phenotype and Luminal B was the least expressed as seen in Table 4.


Luminal A3219.8
Luminal B169.9
HER2 overexpression2616.0
Triple negative8854.3

3.2. Tests for Associations

The Chi-squared test established associations between bcl-2, p53, Ki-67, the molecular phenotypes, and the clinicopathological characteristics. A -value of <0.05 was considered significant. bcl-2 statistically significantly correlated with the Luminal B and TNBC ( and , respectively). Histological grade at presentation, Luminal B, TNBC, and Ki-67 statistically significantly correlated with p53. Luminal A and B, HER2 positive, and p53 correlated significantly with Ki-67 as shown in Tables 5 and 6.

% PositiveCramer’s VPearson’s Chi2Sig. ()

Molecular subtypes
Luminal A45.20.0050.0040.950
Luminal B750.2046.6290.015
HER2 positive53.80.0821.0630.303
Triple negative360.1744.8560.038

Apoptotic biomarkers
Ki-67 mild (low)
High (severe)

Clinicopathologic characteristics
Histol. grade I

Lymphovascular invasion59.30.1481.1870.276

% PositiveCramer’s VPearson’s Chi2Sig. ()

Molecular subtypes
 Luminal A41.40.0210.0700.791
 Luminal B86.70.32015.709<0.001
 HER2 positive36.00.0290.1300.719

Clinicopathological characteristics
Histol. grade
 Lymphovascular invasion42.90.1992.0940.148


Molecular subtypes
 Luminal AM 24.5
L 28.6
 Luminal BH 3.1
M 3.6
L 34.3
 HER2 positiveH 13.3
M 32.1
L 11.4

Clinicopathological characteristics
 Histol. grade
  IL 76.9
M 15.4
H 7.7
  IIL 66.7
M 14.6
H 18.8
  IIIL 56.3
M 16.9
H 26.8
 Lymphovascular invasionL 59.3
M 22.2
H 18.5
Association between p53 and Ki-67

 Ki-67 low (mild)59.50.26811.957<0.01
 High (severe)27.7

4. Discussion

Growth or regression of tumor during treatment depends on the rates of proliferation and apoptosis within the cells of the tissue [20] with most available therapies inducing apoptosis partly [21]. Therefore, this study seeks to categorize breast cancer with respect to apoptosis using IHC so as to understand the role of apoptosis in breast cancer in our environment. Literature has highlighted the effect of bcl-2 (protein), p53, and Ki-67 biomarkers on uncontrolled proliferative and apoptotic pathways in breast cancers [20, 21].

Our population is of African descent, and cases within the perimenopausal ages were more affected. The fifth decade recorded the most number of malignancies, similar to other studies in Ghana [22], Pakistan [23], and USA [24]. Most of our patients are premenopausal, and it has been postulated that this group have poor outcome due to dysregulated endocrine functions and hormone imbalances from hormone-based birth control methods [25]. Late detection and poor diagnosis are also reasons for high grades at presentation in our study. This is in agreement with the findings of other studies [2, 7].

The most common malignancies are the invasive carcinomas of NST (87.12%) and ductal carcinoma in situ (3.68%), similar to other studies from Africa [26, 27], Brazil [28], and England [29]. More than half of the cases were of grade 3 and very few were of grade 1, which agrees with a study by Stalk et al. [30] but contrasts with another by Eugenio et al. [28]. High grade tumors have poor prognosis [31, 32]. This suggests that a greater proportion of our patients may die from breast cancer and its related complications, supporting the low survival rates in developing countries [7].

In this study, about half of our cases showed lymphovascular involvement or invasion which primarily indicates poor prognosis [28, 33]. The number of affected lymph nodes, which we have no data on, may as well be of prognostic importance.

Breast cancer is a heterogeneous disease whose subtypes have specific biology and history. Identifying these subtypes is required to well manage this disease due to the challenge of predicting prognosis accurately and deciding precisely the best therapy to use. Positive lymph node counting and grade of tumor at presentation were heavily relied on. The Nottingham Prognostic Index (NPI) is validated, standard, and independent prognostic factor commonly used in breast cancer. Immunohistochemical studies on tissue microarrays have therefore become practical alternatives to improve breast cancer classification and prognosis [34]. However, IHC is not routinely done in developing countries like Ghana despite the invaluable prognostic and therapeutic information it provides because of difficulties in securing antibodies coupled with its high cost.

The expressions of the markers (bcl-2, p53, Ki-67, ER, PR, HER2, cyclin D, and pan cytokeratin) immunohistochemically studied are proportionally relevant in the cohort. Alterations in the expression patterns of bcl-2 family are expected in the malignancies since dysregulated apoptosis and reduced or inactive p53-ribosome signaling are known pathways in neoplasia. Antiapoptotic bcl-2 increase or positivity supports survival of damaged cells by blocking growth factors that ensure apoptosis (release of cytochrome c) or slowing proliferation so that cell numbers increase over long periods of time [35], resulting in tumor formation [36]. bcl-2 (gene) expression is positively influenced by estrogen (which stimulates proliferation of mammary cells whose increased rate of replication exposes both cells and DNA to mutations from genotoxic wastes accumulated [37]) but inversely related to TP53 gene mutation [38]. bcl-2 positivity has also been linked to differentiation, which largely depends on estrogen and low proliferation [35], to predict favorable outcome [39]. The bcl-2 (protein) was overexpressed in 37.9% of our cases, revealing a compromised apoptotic pathway as a relative cause of breast neoplasia in our environment. The low percentage recorded may be due to the relatively low sample size.

The TP53 gene, a commonly mutated gene in human cancers, regulates DNA repair through the cell cycle and apoptosis [40]. Overexpression of p53 has been correlated with poor outcome [38]. Any mutation of the TP53 gene (36.7% recorded in this study) has a potential to alter the apoptotic pathway and result in tumorigenesis [11]. Ki-67 marks how frequently tumor cells proliferate. They are found mostly in malignant and poorly differentiated cells [41]. The 62.5% recorded in this study shows the high rate of proliferation of breast cancer in our setting although the apoptotic pathway was not completely defective, accounting for the high number of cases with grades II and III at presentation. Most of the cases however expressed low Ki-67.

The triple negative breast cancer (TNBC) subtype (53.4%) was the most common phenotype from the study similar to most studies in our region with a range of 15.8–84% [3, 42]. TNBC has been found to be associated with the high grade, more advanced stages at diagnosis, and very few treatment options because they lack drug-targetable receptors which affect response rates and outcome [34]. They are the most sensitive molecular subclass to chemotherapy [43, 44]. There was a significant correlation between bcl-2 expression and TNBC in our study which may be a pointer to good survival outcome [45], contrary to many other studies which correlated low bcl-2 expression with poor prognosis in TNBC [46, 47], though survival outcome was not included in this study. However, TNBC had the highest proliferative index [48] due to its high Ki-67 percentage [49]. From these, we deduce that the high histologic grades at presentation and high Ki-67 percentage coupled with a positive significant antiapoptotic bcl-2 (protein) correlation account for the proportionally large aggressive phenotype observed in our cohort [50].

The Luminal B subtype could be aggressive because of the effects HER2 confers. The significant association between bcl-2 (protein) and Luminal B might lead to reduced susceptibility to anti-ER therapy by breast cancer cases in our region [37, 51].

The bcl-2 (protein) expression and its prognostic role differ according to molecular subtypes and is a good prognostic marker for mainly Luminal B and TNBC, which are known to be more clinically aggressive and expected to have poorer prognoses [52]. The Luminal B and TNBC molecular subclasses correlated statistically with p53, as well as the high histological grades at presentation. These portend poor prognoses such as carcinogenesis will progress because more cells will escape control, survive, and replicate [38]. Luminal A and B and HER2 positive molecular subclasses correlated statistically with Ki-67. These groups will benefit from endocrine and HER2-targeted therapies like tamoxifen, aromatase inhibitors, and trastuzumab to slow down proliferation [53]. Ki-67 also statistically correlated with p53 mutation, suggesting dysregulation of the cell cycle to override apoptosis and ensure overproliferation [54].

Low rates of programmed cell death (apoptosis) or high levels of antiapoptotic protein bcl-2 (protein) will result in poor prognosis though some studies have implicated frequent and higher rates of apoptosis in malignancies [55]. This suggests some measure of control in the regulation of both proliferation and apoptosis in tumorigenesis. Generally, there was a moderately high rate of apoptosis (antiapoptotic bcl-2 effect was 37.9%) from our study. The rate of apoptosis, which is often reduced in cancers, could also be due to decreased proliferation rates caused by bcl-2 (gene) on Ki-67 activities and has been related to poor survival [13, 39, 56].

The bcl-2 (protein) expression in this study can be linked with hormone receptor expression, low proliferation (62.1%), and TP53 gene mutation (36.7%) expressions suggesting better intrinsic prognosis [57]. This suggests that bcl-2 played an antiproliferative role despite being antiapoptotic [58], thereby suppressing tumorigenesis in association with other biomarkers.

5. Conclusion

The bcl-2 (gene) played both antiproliferative and antiapoptotic roles in tumorigenesis. Our results show high expression of bcl-2 suggesting an important role of apoptosis in Ghanaian breast cancer cases. bcl-2, p53, and Ki-67 expressions emerged interdependently from this research and can thus be manipulated in prediction and prognosis of breast cancers in our setting. The association between TNBC and bcl-2 (protein) highlights possible therapeutic targeting of bcl-2 (gene) for TNBCs.


TNBC:Triple negative breast cancer
ER:Estrogen receptor
PR:Progesterone receptor
HER2:Human epidermal growth receptor 2
NST:No special type
NPI:The Nottingham Prognostic Index.

Data Availability

The Excel data used to support the findings of this study may be released upon application to the Committee on Human Research, Publication and Ethics of School of Medical Sciences/Komfo Anokye Teaching Hospital, at Block J, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Ethical Approval

Approval was obtained from the Committee on Human Research, Publications and Ethics, KNUST School of Medicine and Dentistry (CHRPE/AP/417/18), and the Research and Development Unit, Komfo Anokye Teaching Hospital (Reg. No. RD/CR18/203).


The findings of this research have been presented at the 8th College of Health Sciences, KNUST, and 12th Convention of Biomedical Research Ghana Joint Scientific Conferences.

Conflicts of Interest

The authors declare no conflicts of interest.

Authors’ Contributions

CAM contributed to abstraction of data, construction of TMA blocks, and writing of the first draft. BD participated in supervision of study, interpretation of data, and writing of final draft. KBA helped with supervision of study and writing of manuscript. EAM and FO were responsible for abstraction of data and construction of TMA blocks. NT was involved in reviewing of slides, interpretation of data, and writing of the manuscript. All authors read and approved the final manuscript.


We acknowledge the support from staff of the Pathology Department, KNUST and KATH, and the Physiology Department, KNUST. We would like to thank Mr. Vincent Dedu for the statistical analysis and Dr. Frank Schneider and Miss Diane Lawson of Emory Hospital, Atlanta, Georgia, USA, for the IHC.


  1. O. Ginsburg, C. H. Yip, A. Brooks et al., “Breast cancer early detection: a phased approach to implementation,” Cancer, vol. 126, pp. 2379–2393, 2020. View at: Publisher Site | Google Scholar
  2. R. L. Bowen, S. W. Duffy, D. A. Ryan, I. R. Hart, and J. L. Jones, “Early onset of breast cancer in a group of British black women,” British Journal of Cancer, vol. 98, no. 2, pp. 277–281, 2008. View at: Publisher Site | Google Scholar
  3. A. Stark, C. G. Kleer, I. Martin et al., “African ancestry and higher prevalence of triple-negative breast cancer: findings from an international study,” Cancer, vol. 116, no. 21, pp. 4926–4932, 2010. View at: Publisher Site | Google Scholar
  4. World Health Organization, “Globocan,” 2020, View at: Google Scholar
  5. J. G. Reeder and V. G. Vogel, “Breast cancer prevention,” Cancer Treatment and Research, vol. 141, pp. 149–164, 2008. View at: Publisher Site | Google Scholar
  6. D. Hanahan and R. A. Weinberg, “The hallmarks of cancer,” Cell, vol. 100, no. 1, pp. 57–70, 2000. View at: Publisher Site | Google Scholar
  7. K. G. Manton, I. Akushevich, and J. Kravchenko, Cancer Mortality and Morbidity Patterns in the U.S. Population: An Interdisciplinary Approach, Springer Science & Business Media, Berlin, Germany, 2008.
  8. P. Anand, A. B. Kunnumakara, C. Sundaram et al., “Cancer is a preventable disease that requires major lifestyle changes,” Pharmaceutical Research, vol. 25, no. 9, pp. 2097–2116, 2008. View at: Publisher Site | Google Scholar
  9. S. Cory and J. M. Adams, “The Bcl2 family: regulators of the cellular life-or-death switch,” Nature Reviews Cancer, vol. 2, no. 9, pp. 647–656, 2002. View at: Publisher Site | Google Scholar
  10. R. Kumar, R. K. Vadlamudi, and L. Adam, “Apoptosis in mammary gland and cancer,” Endocrine-related Cancer, vol. 7, pp. 257–269, 2000. View at: Publisher Site | Google Scholar
  11. A. Takaoka, S. Hayakawa, H. Yanai et al., “Integration of interferon-α/β signalling to p53 responses in tumour suppression and antiviral defence,” Nature, vol. 424, no. 6948, pp. 516–523, 2003. View at: Publisher Site | Google Scholar
  12. O. F. Ikpatt, T. Kuopio, R. Ndoma-Egba, and Y. Collan, “Breast cancer in Nigeria and Finland: epidemiological, clinical and histological comparison,” Anticancer Research, vol. 22, pp. 3005–3012, 2005. View at: Google Scholar
  13. M. Parton, M. Dowsett, and I. Smith, “Studies of apoptosis in breast cancer,” BMJ, vol. 322, no. 7301, pp. 1528–1532, 2001. View at: Publisher Site | Google Scholar
  14. H. Mansouri, L. F. Mnango, E. P. Magorosa, E. Sauli, and E. A. Mpolya, “Ki-67, p53 and BCL-2 expressions and their association with clinical histopathology of breast cancer among women in Tanzania,” Scientific Reports, vol. 9, no. 1, p. 9918, 2019. View at: Publisher Site | Google Scholar
  15. M. Borre, B. Stausbøl-Grøn, B. Nerstrøm, and J. Overgaard, “Immunohistochemical BCL-2 and Ki-67 expression predict survival in prostate cancer patients followed expectantly,” Prostate Cancer and Prostatic Diseases, vol. 1, no. 5, pp. 268–275, 1998. View at: Publisher Site | Google Scholar
  16. S. Ilmonen, M. Hernberg, S. Pyrhonen, J. Tarkkanen, and S. Asko-Seljavaara, “Ki-67, Bcl-2 and p53 expression in primary and metastatic melanoma,” Melanoma Research, vol. 15, no. 5, pp. 375–381, 2005. View at: Publisher Site | Google Scholar
  17. A. C. Wolff, M. E. H. Hammond, K. H. Allison et al., “Human epidermal growth factor receptor 2 testing in breast cancer: American society of clinical oncology/college of American pathologists clinical practice guideline focused update,” Archives of Pathology & Laboratory Medicine, vol. 142, no. 11, pp. 1364–1382, 2018. View at: Publisher Site | Google Scholar
  18. M. Abubakar, N. Orr, F. Daley et al., “Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groups,” Breast Cancer Research, vol. 18, no. 1, p. 104, 2016. View at: Publisher Site | Google Scholar
  19. L. A. Carey, C. M. Perou, C. A. Livasy et al., “Race, breast cancer subtypes, and survival in the carolina breast cancer study,” JAMA, vol. 295, no. 21, pp. 2492–2502, 2006. View at: Publisher Site | Google Scholar
  20. I. Tamm, F. Schriever, and B. Dörken, “Apoptosis: implications of basic research for clinical oncology,” The Lancet Oncology, vol. 2, no. 1, pp. 33–42, 2001. View at: Publisher Site | Google Scholar
  21. J. A. Hickman, “Apoptosis induced by anticancer drugs,” Cancer and Metastasis Review, vol. 11, no. 2, pp. 121–139, 1992. View at: Publisher Site | Google Scholar
  22. M. E. Der, B. Simon, T. Yao, and R. K. Gyasi, “Breast cancer in Ghanaian women: what has changed?” American Journal of Clinical Pathology, vol. 140, no. 1, pp. 97–102, 2013. View at: Publisher Site | Google Scholar
  23. Z. Ahmed, N. S. Azad, F. Rauf et al., “Frequency of primary solid malignant neoplasms in different age groups as seen in our practice,” Journal of Ayub Medical College, Abbottabad: JAMC, vol. 19, no. 3, pp. 56–63, 2007. View at: Google Scholar
  24. J. Brandt, J. Garne, I. Tengrup, and J. Manjer, “Age at diagnosis in relation to survival following breast cancer: a cohort study,” World Journal of Surgical Oncology, vol. 13, no. 1, p. 33, 2015. View at: Publisher Site | Google Scholar
  25. J. Hayers, A. Ricahrdson, and C. Frampton, “Population attributable risks for modifiable lifestyle factors and breast cancer in New Zealand women,” IMJ, vol. 43, no. 11, pp. 1198–1204, 2013. View at: Publisher Site | Google Scholar
  26. W. A. Oluogun, K. A. Adedokun, M. A. Oyenike, and O. A. Adeyeba, “Histological classification, grading, staging, and prognostic indexing of female breast cancer in an African population: a 10-year retrospective study,” International Journal of Health Sciences, vol. 13, no. 4, pp. 3–9, 2019. View at: Google Scholar
  27. J. N. A. Clegg-Lamptey and W. M. Hodasi, “A study of breast cancer in KBTH: assessing the impact of health education,” Ghana Medical Journal, vol. 41, pp. 72–77, 2007. View at: Publisher Site | Google Scholar
  28. D. S. Eugênio, J. A. Souza, R. Chojniak, A. G. Bitencourt, L. Graziano, and E. F. Souza, “Breast cancer features in women under the age of 40 years,” Clinics (Sao Paulo), vol. 73, p. e656s, 2018. View at: Google Scholar
  29. H. J. G. Bloom, “Further studies on prognosis of breast carcinoma,” British Journal of Cancer, vol. 4, no. 4, pp. 347–367, 1950. View at: Publisher Site | Google Scholar
  30. A. Stalk, C. G. Klier, and B. Awuah, “African ancestry and high prevalence of TNBC: findings from an international study,” Cancer, vol. 116, pp. 4926–4932, 2010. View at: Publisher Site | Google Scholar
  31. M. S. Lakshmi and G. V. Sherbet, “An overview of triple-negative breast cancer,” Anticancer Research, vol. 3, no. 3, pp. 181–184, 1983. View at: Google Scholar
  32. A. J. Nixon, S. J. Schnitt, R. Gelman et al., “Relationship of tumor grade to other pathologic features and to treatment outcome of patients with early stage breast carcinoma treated with breast-conserving therapy,” Cancer, vol. 78, no. 7, pp. 1426–1431, 1996. View at: Publisher Site | Google Scholar
  33. G. M. Callagy, P. D. Pharoah, S. E. Pinder et al., “Bcl-2 is a prognostic marker in breast cancer independently of the Nottingham prognostic index,” Clinical Cancer Research, vol. 12, no. 8, pp. 2468–2475, 2006. View at: Publisher Site | Google Scholar
  34. L. Gibson, S. P. Holmgreen, D. C. Huang et al., “Bcl-w, a novel member of the bcl-2 family, promotes cell survival,” Oncogene, vol. 13, no. 4, pp. 665–675, 1996. View at: Google Scholar
  35. J. C. Reed, H. Zha, C. Aime-Sempe, S. Takayama, and H.-G. Wang, “Structure-function analysis of Bcl-2 family proteins. Regulators of programmed cell death,” Advances in Experimental Medicine and Biology, vol. 406, pp. 99–112, 1996. View at: Publisher Site | Google Scholar
  36. J. Yarney, V. Vanderpuye, and J. N. Clegg Lamptey, “Hormone receptor and Her-2 expression in breast cancers among sub-Saharan African women,” The Breast Journal, vol. 14, no. 5, pp. 510-511, 2008. View at: Publisher Site | Google Scholar
  37. C. Teixeira, J. C. Reed, and M. A. Pratt, “Estrogen promotes chemotherapeutic drug resistance by a mechanism involving Bcl-2 proto-oncogene expression in human breast cancer cells,” Cancer Research, vol. 55, pp. 3902–3907, 1995. View at: Google Scholar
  38. C. Charpin, S. Garcia, P. Bonnier et al., “bcl-2 automated and quantitative immunocytochemical assays in breast carcinomas: correlation with 10-year follow-up,” Journal of Clinical Oncology, vol. 16, no. 6, pp. 2025–2031, 1998. View at: Publisher Site | Google Scholar
  39. M. D. Berardo, R. M. Elledge, C. D. Moor, G. M. Clark, C. K. Osborne, and D. C. Allred, “Bcl-2 and apoptosis in lymph node positive breast carcinoma,” Cancer, vol. 82, no. 7, pp. 1296–1302, 1998. View at: Publisher Site | Google Scholar
  40. G. Fountzilas, E. Giannoulatou, Z. Alexopoulou et al., “TP53 mutations and protein immunopositivity may predict for poor outcome but also for trastuzumab benefit in patients with early breast cancer treated in the adjuvant setting,” Oncotarget, vol. 7, no. 22, pp. 32731–32753, 2016. View at: Publisher Site | Google Scholar
  41. J. S. De Jong, P. J. Van Diest, R. J. Michalides, P. Van Der Valk, C. J. Meijer, and J. P. Baak, “Correlation of cyclin D1 and Rb gene expression with apoptosis in invasive breast cancer,” Molecular Pathology, vol. 51, no. 1, pp. 30–34, 1998. View at: Publisher Site | Google Scholar
  42. M. Galukande, H. Wabinga, F. Mirember, and C. Karamagi, “Difference in risk factors for breast cancer by ER status in an indigenous African population,” ISRN Oncology, vol. 2013, Article ID 463594, p. 5, 2013. View at: Publisher Site | Google Scholar
  43. L. Z. Braunstein and A. G. Taghian, “Molecular phenotype, multigene assays, and the locoregional management of breast cancer,” Seminars in Radiation Oncology, vol. 26, no. 1, pp. 9–16, 2016. View at: Publisher Site | Google Scholar
  44. S.-J. Dawson, N. Makretsov, F. M. Blows et al., “BCL2 in breast cancer: a favourable prognostic marker across molecular subtypes and independent of adjuvant therapy received,” British Journal of Cancer, vol. 103, no. 5, pp. 668–675, 2010. View at: Publisher Site | Google Scholar
  45. T. M. Abdel-Fatah, P. D. Dickinson, P. Moseley, J. S. Reis-Filho, A. R. Green, and I. O. Ellis, “Bcl2 as a surrogate prognostic and predictive marker in triple-negative breast cancer,” Journal of Clinical Oncology, vol. 29, p. 1024, 2011. View at: Publisher Site | Google Scholar
  46. H. E. Yong, S. K. Hyung, L. Ahwon, J. S. Byung, and J. C. Byung, “BCL2 as a subtype-specific prognostic marker for breast cancer,” Journal of Breast Cancer, vol. 19, no. 3, pp. 252–260, 2016. View at: Publisher Site | Google Scholar
  47. K. Bouchalova, G. Kharaishvili, J. Bouchal, J. Vrbkova, M. Megova, and A. Hlobilkova, “Triple negative breast cancer - BCL2 in prognosis and prediction. Review,” Current Drug Targets, vol. 15, no. 12, pp. 1166–1175, 2014. View at: Publisher Site | Google Scholar
  48. M. A. Healey, K. A. Hirko, A. H. Beck et al., “Assessment of Ki67 expression for breast cancer subtype classification and prognosis in the Nurses’ Health Study,” Breast Cancer Research and Treatment, vol. 166, no. 2, pp. 613–622, 2017. View at: Publisher Site | Google Scholar
  49. B. Shin, Y. Lee, J. Lee et al., “Breast carcinomas expressing basal markers have poor clinical outcome regardless of estrogen receptor status,” Oncology Reports, vol. 19, pp. 617–625, 2008. View at: Publisher Site | Google Scholar
  50. J. Nyagol, A. Nyong’o, B. Byakika et al., “Routine assessment of hormonal receptor and HER-2/neu status underscores the need for more therapeutic targets in Kenyan women with breast cancer,” Analytical and Quantitative Cytology and Histology, vol. 28, pp. 97–103, 2006. View at: Google Scholar
  51. C. U. Ihemelandu, L. D. Leffall, R. L. Dewitty et al., “Molecular breast cancer subtypes in premenopausal and postmenopausal African-American women: age-specific prevalence and survival,” Journal of Surgical Research, vol. 143, no. 1, pp. 109–118, 2007. View at: Publisher Site | Google Scholar
  52. C. Fan, D. S. Oh, L. Wessels et al., “Concordance among gene-expression-based predictors for breast cancer,” New England Journal of Medicine, vol. 355, no. 6, pp. 560–569, 2006. View at: Publisher Site | Google Scholar
  53. M. L. Telli, E. T. Chang, A. W. Kurian et al., “Asian ethnicity and breast cancer subtypes: a study from the California Cancer Registry,” Breast Cancer Research and Treatment, vol. 127, no. 2, pp. 471–478, 2011. View at: Publisher Site | Google Scholar
  54. Z. Darzynkiewicz, H. Zhao, S. Zhang, M. Y. W. T. Lee, E. Y. C. Lee, and Z. Zhang, “Initiation and termination of DNA replication during S phase in relation to cyclins D1, E and A, p21WAF1, Cdt1 and the p12 subunit of DNA polymerase δ revealed in individual cells by cytometry,” Oncotarget, vol. 6, no. 14, pp. 11735–11750, 2015. View at: Publisher Site | Google Scholar
  55. P. Lipponen, S. Aaltomaa, V.-M. Kosma, and K. Syrjänen, “Apoptosis in breast cancer as related to histopathological characteristics and prognosis,” European Journal of Cancer, vol. 30, no. 14, pp. 2068–2073, 1994. View at: Publisher Site | Google Scholar
  56. G. J. Zhang, I. Kimijima, R. Abe et al., “Apoptotic index correlates to bcl-2 and p53 protein expression, histological grade and prognosis in invasive breast cancers,” Anticancer Research, vol. 18, pp. 1989–1998, 1998. View at: Google Scholar
  57. R. González-Cámpora, M. R. G. Ruiz, F. V. Ramírez et al., “Apoptosis in breast carcinoma,” Pathology-Research and Practice, vol. 196, no. 3, pp. 167–174, 2000. View at: Publisher Site | Google Scholar
  58. K. Knowlton, M. Mancini, S. Creason, C. Morales, D. Hockenbery, and B. O. Anderson, “Bcl-2 slowsin VitroBreast cancer growth despite its antiapoptotic effect,” Journal of Surgical Research, vol. 76, no. 1, pp. 22–26, 1998. View at: Publisher Site | Google Scholar

Copyright © 2021 Charity Ameh-Mensah et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.