Abstract
PURPOSE
Breast cancer (BC) is the most common cancer among Egyptian females. No current national cancer database is available in Egypt to provide reliable data on the specific clinicopathologic features of BC in this population. Herein, we investigated the clinical profile of BC among Egyptian women.
METHODS
A systematic review of studies on BC published from inception until December 2021 was performed. We explored pooled estimated proportions of different stages of BC at presentation in Egypt and other clinicopathologic features including age, menopausal status, tumor (T) and lymph node (N) stages, and biological subtypes. Data analysis was performed using meta package (R).
RESULTS
Twenty-six studies were eligible for our systematic review and meta-analysis, including 31,172 BC cases. In 12 studies, including 15,067 patients with BC, the estimated mean age was 50.46 years (95% CI, 48.7 to 52.1; I2, 99%), with a pooled proportion of premenopausal/perimenopausal women of 57% (95% CI, 50 to 63; I2, 98%). Among 9,738 patients with BC, pooled proportions of stage I, II, III, and IV were 6% (95% CI, 4 to 8; I2, 90%), 37% (95% CI, 31 to 43; I2, 93%), 45% (95% CI, 42 to 49; I2, 78%), and 11% (95% CI, 9 to 15; I2, 87%), respectively. The pooled proportions of patients with T3 and T4 tumors were 21% (95% CI, 14 to 31; I2, 99%) and 8% (95% CI, 5 to 12; I2, 96%), respectively, while those with positive lymph nodes were 70% (95% CI, 59 to 79; I2, 99%).
CONCLUSION
Dominance of advanced stage and young age at diagnosis represented the two main features of BC among Egyptian women. Our data may serve to guide the policymakers in Egypt as well as other countries with lower resources to prioritize the diagnostic and therapeutic needs in this context.
INTRODUCTION
Breast cancer (BC) is the most commonly diagnosed cancer worldwide, with estimated new cases exceeding 2 million in 2020. Furthermore, it represents the leading cause of cancer death in women, with more than 680,000 deaths.1
CONTEXT
Key Objective
What are the clinicopathologic features of breast cancer (BC) at presentation in Egyptian women?
Knowledge Generated
This systematic review and meta-analysis provided pooled estimated proportions for the stage of BC at presentation in Egypt, and other clinicopathologic features including age, menopausal status, tumor (T) and lymph node (N) stages, and biological subtypes.
Relevance
Egyptian patients with BC were diagnosed at a younger age, with a far more advanced stage and aggressive biological subtypes compared with developed countries. This may explain the worse prognosis of the disease in this population and highlight the need for prioritization of tailored cancer control programs for BC.
Despite the difference in incidence rates of BC between developed and developing countries,1,2 the disease remains the most common type of female cancer in Egypt with an age-specific incidence rate of 48.8/105. Approximately 46,000 incident cases are forecasted in 2050.3 Although this incidence rate in Egypt is lower than the global figures, mortality is higher at an age-standardized rate of 20.4/100,0004 compared with the US rate of 12.3/105 and the developed countries' rate of 12.8/105.1 When comparing the mortality/incidence rate ratio for BC between Egypt and developed countries, Egypt had approximately double the ratio (41% v 23%). Moreover, it is currently the second most common cause of Egyptian cancer mortality after hepatocellular carcinoma with estimated mortality rate around 11% in 2020.5 Notably, this mortality rate is far higher than those of other developing countries counterparts like China, where age-standardized mortality rate is 6.3/105.6
These disparities in incidence and mortality between Egypt and other countries have been largely attributed to delayed presentation at diagnosis. In Egypt, most of the cases present as locally advanced or metastatic rather than early stages.7,8 In a study9 to investigate this delayed presentation among Egyptian women, the average time lag was 7 months from developing the first symptom until commencing treatment, where patients contributed to 61% of the wait time (4.4 months). This could be attributed to low awareness levels of BC symptoms, risk factors, or difficult access to health care. This was also demonstrated by other studies10,11 and by the most recent Demographic and Health Surveys report by the Egyptian Ministry of Health and Population, which revealed very low rate of mammographic breast screening among Egyptian ladies.12 These factors eventually lead to higher rates of stages III and IV at presentation, which is a major detriment on prognosis and treatment outcomes.13,14
In fact, the burden and demographics of BC were clearly depicted for the majority of the regions across the world, even in nations without well-established national-based registries, which aids in the direction of cancer control initiatives. However, with the lack of a current national cancer database in Egypt and paucity of documented data, it is important to comprehensively represent the estimated burden of BC and its specific clinicopathologic profile to direct future plans for BC prevention, early detection, and management and to guide future research. Albeit reluctantly, some studies (mostly hospital-based retrospective studies) had presented limited clinicopathologic data with wide variations that do not capture the national profile. For example, age at diagnosis of BC ranged from 47.815 to 57 years,16 while percentage of T1 tumors ranged from 5%15 to 26%.17
Therefore, we conducted a systematic review of literature and meta-analysis aimed at providing a snapshot for the contemporary status of BC in Egypt, to elucidate the estimated burden of the disease and its clinicopathologic features. The primary objective was to explore the pooled estimated proportion of different stages at presentation in Egypt according to the American Joint Committee on Cancer (AJCC). The secondary objectives were to describe other clinicopathologic features including mean age, menopausal status, T and N stages, histopathologic types, and biological subtypes. Furthermore, the patterns of BC surgery were also investigated.
METHODS
We performed this systematic review in compliance with the preferred reporting items of the systematic review and meta-analysis (PRISMA) checklist.18 All steps were conducted in concordance with the Cochrane Handbook of Systematic Review and Meta-Analysis.19
Inclusion and Exclusion Criteria
All studies that met the following criteria were included: (1) observational studies (registries or retrospective or prospective studies) that represent the data for BC in a specific center or institute in Egypt; (2) studies that report the clinicopathologic characteristics of the BC cohort at presentation (age at diagnosis or stage or tumor size or pathology type or pathology grade or receptor status or type of surgery); and (3) studies published in English language. Abstracts that report the investigated outcomes were eligible.
The excluded studies included any of the following (to avoid duplicate population or any confounders for selection bias): (1) survey studies; (2) studies that represent pathologic assessment of paraffin blocks; (3) interventional studies; and (4) studies that address specific category only (ie, male BC or phyllodes tumors, etc) or specific stage (ie, inflammatory BC or metastatic BC, etc). We also excluded letters to editor, reviews, study protocols, case reports, and case series studies, in addition to any studies that had unreliable or unpublished data for extraction or duplicates.
Search Strategy
The PROSPERO database was checked for similar registered protocols, where none was detected. Then, the literature was systematically searched from inception till December 7, 2021, in the following databases: PubMed Central, PubMed National Institutes of Health, Scopus, and Cochrane library. The search terms for each database are provided in the Appendix Table 1, Data Supplement. In brief, the following keywords were used: “Breast Neoplasms” OR “Breast Cancer” OR “Breast Tumor” OR “Breast Tumors” OR “Breast Carcinoma” AND “Egypt.”
Moreover, manual search for reference lists of relevant articles was performed to find further eligible studies. The search process was independently performed by two authors (H.E. and M.A.). First, all identified citations were imported to Endnote software. Then, an independent review and screening of records by title and abstract were done by both authors. After removing the duplicates, the relevant articles were shortlisted, where the full-length papers were assessed for the eligibility criteria. Then, the articles that fulfilled all the eligibility criteria were retrieved for the final systematic review and meta-analysis. Any disagreements were discussed till reaching a consensus among all authors.
Data Extraction
Two authors (M.A. and A.E.) had independently extracted the data, using a standard data extraction form. Then, a third author (H.E.) had reviewed it and agreed the data before proceeding to the statistical analysis. Data were extracted for females with BC; however, studies including men with BC as well in the cohort were not excluded as they typically represent <2% of total BC cases.20 For different publications representing dependent analyses for data extracted from the same cancer database, we used the article that reported the outcome of interest once in our analysis to avoid duplicate population. Missed data were excluded from the total counts in the analysis. The study settings and data related to the patient and tumor characteristics were extracted (author, year of publication, study setting, type of study/registry, sample size, mean age, and number of the patients presented with following: premenopausal/perimenopausal status, different AJCC stages, different tumor T stages, different lymph node N stages, different pathologic types, estrogen receptor [ER+], progesterone receptor [PR+], human epidermal growth factor receptor 2 [HER2+], triple-negative breast cancer [TNBC], and lastly treated with breast-conservative surgery [BCS] and modified radical mastectomy [MRM]). Any disagreements were resolved by mutual discussion with all authors.
Assessment of Publication Bias and Quality
We carried out an assessment of publication bias through a visual inspection of the funnel plot. The quality of the included studies was assessed independently by two reviewers (H.E. and A.E.), using the Newcastle-Ottawa Scale criteria scale,21 to assess the potential for selection and information bias. A quality score ranging from 0 to 10 was given to each study, accounting for very good (9-10 points), good (7-8 points), satisfactory (5-6 points), and unsatisfactory (0-4 points).
Data Analysis
The data analysis was done using the meta package in R. The effect size was reported as pooled proportion and 95% CI level. Heterogeneity was assessed by the chi-square test (χ2) and measured by the I2 test. In the case of evident heterogeneity, DerSimonian and Laird random-effects models were applied to pool the outcomes. To investigate the causes of heterogeneity, subgroup and sensitivity (leaving-one-out study) analyses were done. If heterogeneity was not explained, we recalculated the results of our meta-analysis using remove outlier function.
RESULTS
Included Studies
In total, 662 studies were retrieved by our search, where 42 full-text papers were assessed for eligibility. Of them, 26 studies15-17,22-44 were eligible for the current review and meta-analysis, including 31,172 BC cases. Figure 1 depicts the PRISMA flow chart for the search strategy. Three studies30,32,37 presented data extracted from population-based cancer registries, while other three studies22,28,42 were based on hospital-based cancer registries. Furthermore, 16 studies16,17,24-26,31,33-36,38-41,43,44 had collected data retrospectively and three studies23,27,29 were cross-sectional studies. The data represent BC cases presented during approximately 2 decades, from 1997 till 2015. Eight studies16,17,22,24,33,36,41,43 represented the capital (Cairo), while 1115,23,27,30-32,35,37-39,42 and six studies25,26,28,34,40,44 represented North and South Egypt, respectively; however, one study29 presented patients with BC in the capital and North Egypt simultaneously. It is worth noting that different editions of the AJCC staging manual (4th-7th) were used by most of the studies. Table 1 illustrates the characteristics of included studies.
FIG 1.
The PRISMA search strategy flow chart. BC, breast cancer; NIH, National Institutes of Health; PRISMA, Preferred Reporting Items of the Systematic review and Meta-Analysis.
TABLE 1.
Characteristics of Included Studies
Overall, the studies were of acceptable methodological quality, where 18 studies15,17,23,24,27-29,31-36,39-41,43,44 were scored good, four studies scored very good,22,30,37,42 and four studies scored satisfactory.16,25,26,38 Funnel plots were generated for the included studies in the analysis for the AJCC stages, where the visual assessment showed relatively symmetrical plots with no evidence of publication bias (Data Supplement [Appendix Figure 1]).
The Proportion of Breast Cancer From the Total Cancer Cases in Females
Among registered female patients in two large oncology institutions (Cairo National Cancer Institution and Mansoura University Hospital),22,42 BC was the most common cancer representing 42% (95% CI, 12 to 80; I2, 98%) of all cancer cases in females (Data Supplement [Appendix Figure 2]).
The AJCC Stage at Presentation
Eight studies15,16,31,32,34,35,40,41 had presented the AJCC stage including 9,738 patients with BC, where the pooled estimated proportions of stage I, II, III, and IV were 6% (95% CI, 4 to 8; I2, 90%), 37% (95% CI, 31 to 43; I2, 93%), 45% (95% CI, 42 to 49; I2, 78%), and 11% (95% CI, 9 to 15; I2, 87%) respectively (Figure 2). No trend for downstaging was observed over time.
FIG 2.

The pooled proportion of AJCC stages at presentation: (A) stage I, (B) stage II, (C) stage III, and (D) stage IV. AJCC, American Joint Committee on Cancer.
Subgroup analysis was done according to the geographical region (Capital, North, and South of Egypt), period of the study, and age category, where none had explained the evident heterogeneity in the pooled estimates for the AJCC stage. Moreover, for stage I and II, leave-one-out sensitivity analysis was done to explain the heterogeneity, where I2 had dropped to 83% and 89% after omitting Ibrahim et al34 (proportion of stage I = 5%; 95% CI, 4 to 7) and Abdelfattah et al15 (proportion of stage II = 35%; 95% CI, 31 to 39), respectively. However, remove outlier function was done for stage III, where omitting Abdelfattah et al15 and Ibrahim et al34 had resolved the heterogeneity (I2, 17%) with resultant estimated proportion of stage III of 45% (95% CI, 44 to 46). Furthermore, remove outlier function for stage IV (omitting Abdelfattah et al15 and Gabr et al40) had improved the heterogeneity (I2, 61%) with resultant estimated proportion of stage IV of 12% (95% CI, 11 to 13).
Furthermore, three studies34,37,41 had reported the AJCC stage for young patients (≤35 or ≤40 years), including 1,078 patients, where the pooled estimated proportions of stage I, II, III, and IV were 4% (95% CI, 2 to 8; I2, 0), 39% (95% CI, 33 to 45; I2, 15%), 48% (95% CI, 37 to 59; I2, 69%), and 9% (95% CI, 3 to 21; I2, 73%), respectively. Interestingly, there was low to moderate heterogeneity between these studies. The forest plots are presented in Data Supplement, (Appendix Figure 3).
The Clinicopathologic Criteria of Breast Cancer at Presentation
Among 15,067 patients with BC in 12 studies,15-17,24,27,29,31,32,36,38,40,44 the estimated mean age was 50.46 years (95% CI, 48.7 to 52.1; I2, 99%; Figure 3). Moreover, patients who are older than 40 years at presentation comprised 80% among 11,208 patients (95% CI, 73 to 85; I2, 95%; Data Supplement [Appendix Figure 4]). The pooled estimate for the proportion of premenopausal/perimenopausal females was 57% (95% CI, 50 to 63; I2, 98%) of the total BC cases at presentation, representing 5,376 premenopausal/perimenopausal patients out of 9,833 patients in 10 studies (Data Supplement [Appendix Figure 5]).15-17,24,26,34-36,40,44
FIG 3.

The estimated pooled mean age at presentation among the breast cancer cases. MRAW, raw mean; SD, standard deviation.
However, in the 10 studies15-17,23,24,32,34,35,39,41 that reported the T stage, with a total of 10,619 BC cases, the overall pooled estimated proportions of stage T1, T2, T3, and T4 were 12% (95% CI, 8 to 16; I2, 97%), 55% (95% CI, 48 to 61; I2, 97%), 21% (95% CI, 14 to 31; I2, 99%), and 8% (95% CI, 5 to 12; I2, 96%), respectively, with marked heterogeneity between studies (Figure 4). It is worth noting that no trend for downsizing was observed over time.
FIG 4.

The pooled proportion of T stages at presentation: (A) T1, (B) T2, (C) T3, and (D) T4.
Three studies34,39,41 had enclosed the T stage in young patients (≤35 or ≤40 years) including 721 patients. The pooled estimated proportions of stage T1, T2, T3, and T4 were 11% (95% CI, 5 to 23; I2, 69%), 49% (95% CI, 26 to 73; I2, 91%), 27% (95% CI, 6 to 66; I2, 96%), and 10% (95% CI, 4 to 24; I2, 77%), respectively (Data Supplement [Appendix Figure 6]).
In 13 studies15-17,24,28,30,34-36,38,39,41,43 with a total of 14,796 BC cases, the pooled estimated proportion of patients with positive lymph node involvement was 70% (95% CI, 59 to 79; I2, 99%; Data Supplement [Appendix Figure 7]).
Among patients with positive lymph nodes, eight studies16,17,24,32,34,35,38,39 had presented the detailed N stage, with a total of 10,612 BC cases, where the overall pooled estimated proportions of stage N1, N2, and N3 were 29% (95% CI, 25 to 32; I2, 91%), 22% (95% CI, 18 to 28; I2, 93%), and 18% (95% CI, 13 to 24; I2, 93%), respectively (Data Supplement [Appendix Figure 8]).
The estimated proportion of invasive duct carcinoma was 87% (95% CI, 81 to 92; I2, 99%) among 15,171 patients with BC in 12 studies,16,17,24,32,34-36,38-41,43 while invasive lobular carcinoma represented 7% (95% CI, 5 to 10; I2, 97%; Data Supplement [Appendix Figure 9]).
Among 5787 patients with BC in 10 studies,16,17,31,32,35,36,38,39,41,43 the estimated proportion of HER2+ subtype was 21% (95% CI, 15 to 30; I2, 94%). However, among 5591 patients with BC in seven studies,16,17,31,38-41 the estimated proportion of TNBC subtype was 10% (95% CI, 5 to 21; I2, 96%). Moreover, in 11 studies with more than 11,000 patients, the proportions of ER+ and PR + patients were 70% (95% CI, 61 to 77; I2, 97%) and 61% (95% CI, 57 to 66; I2, 92%), respectively (Data Supplement [Appendix Figure 10]).
Surgery Type for Breast Cancer
Among 11,382 patients with BC in 13 studies,15,24-26,28,32-34,36,39-41,43 the estimated proportions of BCS and MRM were 15% (95% CI, 11 to 21; I2, 98%) and 85% (95% CI, 79 to 89; I2, 98%) from the total BC surgeries, respectively (Data Supplement [Appendix Figure 11]). There was a trend for increase in BCS rate since 2014.
DISCUSSION
To our knowledge, this is the first report to comprehensively describe the clinical and pathologic profile of BC in Egypt during the past 2 decades. Our study included a quite large sample size of more than 31,000 Egyptian BC cases, which could provide a reliable information on demography, stage, histology, and biology of the disease, as well as the type of BC surgery.
Two main striking findings could be observed in our meta-analysis. First, the Egyptian BC population was significantly younger compared with the Western counterparts with a mean age of 50.4 years at diagnosis and 57% being premenopausal/perimenopausal. Of note, in the US-based SEER data45 and the Japanese Breast Cancer Society registry,46 the median age at diagnosis was 63 years and 59.7 years, respectively. This age pattern in Egypt could be explained by the population pyramid distribution, with only a minority of the female population (8%-9%) older than 60 years.47 By contrast, a similar age pattern is seen in other developing countries, such as China, where mean age at presentation is 53 years.48 It is worth noting that 20% of the Egyptian patients with BC was younger than 40 years, compared with 5% in the SEER database.49 Meanwhile, the proportion of premenopausal females has declined over time in developed countries such as Korea, accounting for 59.4% in 2002 and reached 46.5% in 2015.50
This different age pattern has various diagnostic, prognostic, and therapeutic implications. The main screening/diagnostic tool for detection of BC remains the soft tissue mammography. The American Cancer Society recommends annual mammography for moderate-risk women after the age of 45 years.51 In younger population, the sensitivity of screening mammography is much lower because of higher glandular breast density.52,53 This means that up to half of the Egyptian patients diagnosed with BC could be missed in a mammography screening program.
Regarding disease outcome, several studies have shown that younger patients with BC carry poorer prognosis. A study by Azim et al54 found that patients with BC younger than 40 years had poorer relapse-free survival even after adjustment for BC subtype, tumor size, nodal status, histologic grade, and treatment modality (hazard ratio, 1.34; 95% CI, 1.10 to 1.63; P = .004). This highlights age as an independent surrogate of biological aggressiveness that could contribute (in addition to advanced stage) to the poorer outcome observed in Egyptian patients with BC.
The second striking finding in our study is that Egyptian patients were more frequently presented with advanced stages (stage III disease: 45%, stages T2 and T3: 55% and 21%, respectively, and positive lymph nodes: 70%). Interestingly, young females with BC had presented with even more advanced stages, in whom the proportion of stage III was 48%, while stages T2 and T3 were 49% and 27%, respectively. Of note, in the California Cancer Registry55 and the Chinese population,48 the combined incidence of stages III and IV were 13% and 20%, respectively. However, younger patients were also presented with more advanced stages in a recent (2022) SEER report.49 This higher incidence of advanced stages contributes to poorer survival irrespective of the therapeutic advances. This underlines the importance of early detection as a tool to improve the disease outcome in Egypt and other developing countries.
Moreover, our study had pointed to another factor that may contribute to the poorer prognosis in the Egyptian population, which is the higher prevalence of more aggressive biological subtypes. This was evident for the HER2+ subtype, where it represented 21% of BC in Egyptian females, compared with 14% in SEER reports.56,57
Furthermore, there was a low rate of BCS utilization in our study, representing only 15% of total BC cases; however, a clear trend to increased BCS rates and decreased MRM rates were observed over time. Of note, in the Korean study, 67.4% were treated with BCS among 22,395 invasive cancer cases diagnosed in 2017.50
The limitations of this study include the retrospective nature for most of the studies and the dependence on multiple AJCC manual editions for staging. Furthermore, there was a moderate to marked statistical heterogeneity between the included studies. However, this was partially resolved by sensitivity analysis for the pooled estimates for stage III.
In conclusion, our analysis shows that Egyptian patients with BC are diagnosed at a younger age, with a far more advanced stage and aggressive biological subtypes compared with Western and other developed countries. This suggests the need for a tailored screening/early detection program aiming at downstaging of the disease at the time of presentation in a younger age population, rather than the internationally recommended standard programs. Moreover, this should affect the offered modalities for diagnosis and treatment, and the burden on the health care system, according to the current population structure, which will lead to improving the survival outcomes consequently.
Hamdy A. Azim
Employment: Innate Pharma
Honoraria: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Consulting or Advisory Role: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Speakers' Bureau: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Research Funding: Roche, Novartis
Hagar Elghazawy
Honoraria: Eva Pharma, Novartis
Travel, Accommodations, Expenses: Eva Pharma
Ahmed H. Abdelaziz
Consulting or Advisory Role: AstraZeneca, Roche, MSD, Sandoz
Speakers' Bureau: Roche, Janssen Oncology, Pfizer, Amgen, AstraZeneca, Novartis, MSD
Research Funding: AstraZeneca
Travel, Accommodations, Expenses: Amgen, AstraZeneca, Pierre Fabre, MSD
Loay Kassem
Honoraria: Roche/Genentech, Novartis, AstraZeneca, Hikma Pharmaceuticals, Sandoz, MSD Oncology
Travel, Accommodations, Expenses: Roche/Genentech, Novartis, AstraZeneca
No other potential conflicts of interest were reported.
AUTHOR CONTRIBUTIONS
Conception and design: Hamdy A. Azim, Hagar Elghazawy, Ahmed H. Abdelaziz, Loay Kassem
Provision of study materials or patients: All authors
Collection and assembly of data: All authors
Data analysis and interpretation: Hamdy A. Azim, Hagar Elghazawy, Ramy M. Ghazy, Ahmed H. Abdelaziz, Loay Kassem
Manuscript writing: All authors
Final approval of manuscript: All authors
Accountable for all aspects of the work: All authors
AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/go/authors/author-center.
Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).
Hamdy A. Azim
Employment: Innate Pharma
Honoraria: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Consulting or Advisory Role: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Speakers' Bureau: AstraZeneca, Bristol Myers Squibb, Lilly, MSD, Novartis, Pfizer, Roche
Research Funding: Roche, Novartis
Hagar Elghazawy
Honoraria: Eva Pharma, Novartis
Travel, Accommodations, Expenses: Eva Pharma
Ahmed H. Abdelaziz
Consulting or Advisory Role: AstraZeneca, Roche, MSD, Sandoz
Speakers' Bureau: Roche, Janssen Oncology, Pfizer, Amgen, AstraZeneca, Novartis, MSD
Research Funding: AstraZeneca
Travel, Accommodations, Expenses: Amgen, AstraZeneca, Pierre Fabre, MSD
Loay Kassem
Honoraria: Roche/Genentech, Novartis, AstraZeneca, Hikma Pharmaceuticals, Sandoz, MSD Oncology
Travel, Accommodations, Expenses: Roche/Genentech, Novartis, AstraZeneca
No other potential conflicts of interest were reported.
REFERENCES
- 1. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
- 2. Azim HA, Ibrahim AS. Breast cancer in Egypt, China and Chinese: Statistics and beyond. J Thorac Dis. 2014;6:864–866. doi: 10.3978/j.issn.2072-1439.2014.06.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Ibrahim AS, Khaled HM, Mikhail NN, et al. Cancer incidence in Egypt: Results of the national population-based cancer registry program. J Cancer Epidemiol. 2014;2014:437971. doi: 10.1155/2014/437971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.https://gco.iarc.fr/today/data/factsheets/populations/818-egypt-fact-sheets.pdf Egypt. Source: Globocan 2020.
- 5.International Cancer Control Partnership https://www.iccp-portal.org/news/who-cancer-country-profiles-2020 WHO cancer country profiles 2020, March 9, 2020.
- 6. Zeng H, Zheng R, Zhang S, et al. Female breast cancer statistics of 2010 in China: Estimates based on data from 145 population-based cancer registries. J Thorac Dis. 2014;6:466–470. doi: 10.3978/j.issn.2072-1439.2014.03.03. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Omar S, Khaled H, Gaafar R, et al. Breast cancer in Egypt: A review of disease presentation and detection strategies. East Mediterr Health J. 2003;9:448–463. [PubMed] [Google Scholar]
- 8. Dey S, Soliman AS, Hablas A, et al. Urban-rural differences in breast cancer incidence by hormone receptor status across 6 years in Egypt. Breast Cancer Res Treat. 2010;120:149–160. doi: 10.1007/s10549-009-0427-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Abdelaziz AH, Abdou AM, Habeeb CN. Breast cancer treatment waiting time, patient and provider contributions: An Egyptian breast cancer centre experience. Ann Oncol. 2018;29:viii566. [Google Scholar]
- 10. Hassan EE, Seedhom AE, Mahfouz EM. Awareness about breast cancer and its screening among rural Egyptian women, Minia District: A population-based study. Asian Pac J Cancer Prev. 2017;18:1623–1628. doi: 10.22034/APJCP.2017.18.6.1623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Boulos DNK, Ghali RR, Ghali RR. Awareness of breast cancer among female students at Ain Shams University, Egypt. Glob J Health Sci. 2013;6:154–161. doi: 10.5539/gjhs.v6n1p154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ministry of Health and Population [Egypt], El-Zanaty and Associates [Egypt], and ICF International https://dhsprogram.com/pubs/pdf/FR313/FR313.pdf Egypt Health Issues Survey 2015, 2015, pp 234.
- 13. Ginsburg O, Bray F, Coleman MP, et al. The global burden of women’s cancers: A grand challenge in global health. Lancet. 2017;389:847–860. doi: 10.1016/S0140-6736(16)31392-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Allemani C, Matsuda T, Di Carlo V, et al. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): Analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018;391:1023–1075. doi: 10.1016/S0140-6736(17)33326-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Abdel-Fattah M, Lotfy NS, Bassili A, et al. Current treatment modalities of breast-cancer patients in Alexandria, Egypt. Breast. 2001;10:523–529. doi: 10.1054/brst.2000.0285. [DOI] [PubMed] [Google Scholar]
- 16. Gado N, Mosalam N, Atef D, et al. Clinicoepidemiological study of breast cancer patients at Clinical Oncology Department Ain Shams University: Five years retrospective study. Eur J Cancer. 2017;72:S20. [Google Scholar]
- 17. Azim HA, Abdel-Malek R, Kassem L. Predicting brain metastasis in breast cancer patients: Stage versus biology. Clin Breast Cancer. 2018;18:e187–e195. doi: 10.1016/j.clbc.2017.08.004. [DOI] [PubMed] [Google Scholar]
- 18. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cochrane Training 2011. https://training.cochrane.org/handbook Cochrane handbook for systematic reviews of interventions | Cochrane Training, Handbook, Cochrane.
- 20. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68:7–30. doi: 10.3322/caac.21442. [DOI] [PubMed] [Google Scholar]
- 21.Wells G, Shea B, O’Connell D, et al. 2021. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp Ottawa Hospital Research Institute.
- 22. Elattar IA, Hassan NM, Lamee MM, et al. Cancer profile at the National Cancer Institute, Egypt, 2002–2003. J Clin Oncol. 2005;23 suppl 16; abstr 9653. [Google Scholar]
- 23. Elzawawy AM, Elbahaie AM, Dawood SM, et al. Delay in seeking medical advice and late presentation of female breast cancer patients in most of the world. Could we make changes? The experience of 23 years in Port Said, Egypt. Breast Care. 2008;3:37–41. doi: 10.1159/000113936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. El Mongy M, El Hossieny H, Haggag F, et al. Clinico-pathological study and treatment results of 1009 operable breast cancer cases: Experience of NCI Cairo University, Egypt. Chinese-German J Clin Oncol. 2010;9:409–415. [Google Scholar]
- 25. Salem AAS, Salem MAE, Abbass H. Breast cancer: Surgery at the South Egypt Cancer Institute. Cancers (Basel) 2010;2:1771–1778. doi: 10.3390/cancers2031771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Abbass H, Salem AAS, Salem MAE, et al. Breast cancer: Radiotherapy at the South Egypt Cancer Institute. Gastric & Breast Cancer. 2011;10:180–186. [Google Scholar]
- 27. Mousa SM, Seifeldin IA, Hablas A, et al. Patterns of seeking medical care among Egyptian breast cancer patients: Relationship to late-stage presentation. The Breast. 2011;20:555–561. doi: 10.1016/j.breast.2011.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Seedhom AE, Kamal NN. Factors affecting survival of women diagnosed with breast cancer in el-minia governorate, Egypt. Int J Prev Med. 2011;2:131–138. [PMC free article] [PubMed] [Google Scholar]
- 29. Stapleton JM, Mullan PB, Dey S, et al. Patient-mediated factors predicting early- and late-stage presentation of breast cancer in Egypt. Psycho-Oncology. 2011;20:532–537. doi: 10.1002/pon.1767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Hirko KA, Soliman AS, Hablas A, et al. Trends in breast cancer incidence rates by age and stage at diagnosis in gharbiah, Egypt, over 10 years (1999-2008) J Cancer Epidemiol. 2013;2013:1–7. doi: 10.1155/2013/916394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Hussein O, Mosbah M, Farouk O, et al. Hormone receptors and age distribution in breast cancer patients at a university hospital in northern Egypt. Breast Cancer. 2013;7:51–57. doi: 10.4137/BCBCR.S12214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zeeneldin AA, Ramadan M, Gaber AA, et al. Clinico-pathological features of breast carcinoma in elderly Egyptian patients: A comparison with the non-elderly using population-based data. J Egypt Natl Cancer Inst. 2013;25:5–11. doi: 10.1016/j.jnci.2012.10.003. [DOI] [PubMed] [Google Scholar]
- 33. Azim HA, Malek RA, Azim HA Jr. Pathological features and prognosis of lobular carcinoma in Egyptian breast cancer patients. Women's Health. 2014;10:511–518. doi: 10.2217/whe.14.48. [DOI] [PubMed] [Google Scholar]
- 34. Ibrahim A, Salem MA, Hassan R. Outcome of young age at diagnosis of breast cancer in South Egypt. Gulf J Oncolog. 2014;1:76–83. [PubMed] [Google Scholar]
- 35. Abd Aziz KK, Tawfik EA, Shaltout EA, et al. Clinical outcome and survival of breast cancer patients treated at the Clinical Oncology Department, Menoufia University. Menoufia Med J. 2015;28:333. [Google Scholar]
- 36. Azim HA, Abdal-Kader YSed, Mousa MM, et al. Taxane-based regimens as adjuvant treatment for breast cancer: A retrospective study in Egyptian cancer patients. Asian Pac J Cancer Prev. 2015;16:65–69. doi: 10.7314/apjcp.2015.16.1.65. [DOI] [PubMed] [Google Scholar]
- 37. Schlichting JA, Soliman AS, Schairer C, et al. Breast cancer by age at diagnosis in the Gharbiah, Egypt, population-based registry compared to the United States Surveillance, Epidemiology, and End Results Program. Biomed Res Int. 2015;2015:381574. doi: 10.1155/2015/381574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Elsayed M, Alhussini M, Basha A, et al. Analysis of loco-regional and distant recurrences in breast cancer after conservative surgery. World J Surg Oncol. 2016;14:144–146. doi: 10.1186/s12957-016-0881-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Farouk O, Ebrahim MA, Senbel A, et al. Breast cancer characteristics in very young Egyptian women ≤35 years. Breast Cancer. 2016;8:53–58. doi: 10.2147/BCTT.S99350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Gabr A, Razek K, Atta H, et al. Demographic characteristics and clinico-pathological presentation of breast cancer female patients in South Egypt Cancer Institute (2005-2012) SECI Oncol. 2016;2016:40–45. [Google Scholar]
- 41. Darwish AD, Helal AM, Aly El-din NH, et al. Breast cancer in women aging 35 years old and younger: The Egyptian National Cancer Institute (NCI) experience. Breast. 2017;31:1–8. doi: 10.1016/j.breast.2016.09.018. [DOI] [PubMed] [Google Scholar]
- 42.Abo-Touk NA.Cancer registry report in Mansoura University Hospital, Egypt in 2015 Forum Clin Oncol 1026–33.2019 [Google Scholar]
- 43. Yehia Ibrahim N, Talima S, Makar WS. Clinico-epidemiological study of elderly breast cancer in a developing country: Egypt. J Cancer Treat Res. 2019;7:23–27. [Google Scholar]
- 44. Shaaban AMA, Aziz AA, Sholkamy N, et al. 26P Body mass index and clinical outcomes in Egyptian women with breast cancer: A multi-institutional study. Ann Oncol. 2020;31:S1251. [Google Scholar]
- 45.National Cancer Institute 2020. https://seer.cancer.gov/statfacts/html/breast.html SEER cancer stat facts: Female breast cancer, National Institutes of Health.
- 46. Kubo M, Kumamaru H, Isozumi U, et al. Annual report of the Japanese Breast Cancer Society registry for 2016. Breast Cancer. 2020;27:511–518. doi: 10.1007/s12282-020-01081-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.United Nations https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/818 World population prospects 2022; age population by age and sex.
- 48. Zeng H, Ran X, An L, et al. Disparities in stage at diagnosis for five common cancers in China: A multicentre, hospital-based, observational study. Lancet Public Health. 2021;6:e877–e887. doi: 10.1016/S2468-2667(21)00157-2. [DOI] [PubMed] [Google Scholar]
- 49. Kim HJ, Kim S, Freedman RA, et al. The impact of young age at diagnosis (age <40 years) on prognosis varies by breast cancer subtype: A U.S. SEER database analysis. Breast. 2022;61:77–83. doi: 10.1016/j.breast.2021.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Kang SY, Kim YS, Kim Z, et al. Breast cancer statistics in Korea in 2017: Data from a breast cancer registry. J Breast Cancer. 2020;23:115–128. doi: 10.4048/jbc.2020.23.e24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Oeffinger KC, Fontham ETH, Etzioni R, et al. Breast cancer screening for women at average risk: 2015 Guideline update from the American cancer society. J Am Med Assoc. 2015;314:1599–1614. doi: 10.1001/jama.2015.12783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Yankaskas BC, Haneuse S, Kapp JM, et al. Performance of first mammography examination in women younger than 40 years. J Natl Cancer Inst. 2010;102:692–701. doi: 10.1093/jnci/djq090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Carney PA, Miglioretti DL, Yankaskas BC, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med. 2003;138:168–175. doi: 10.7326/0003-4819-138-3-200302040-00008. [DOI] [PubMed] [Google Scholar]
- 54. Azim HA Jr, Michiels S, Bedard PL, et al. Elucidating prognosis and biology of breast cancer arising in young women using gene expression profiling. Clin Cancer Res. 2012;18:1341–1351. doi: 10.1158/1078-0432.CCR-11-2599. [DOI] [PubMed] [Google Scholar]
- 55. Weiss A, Chavez-MacGregor M, Lichtensztajn DY, et al. Validation study of the American Joint Committee on Cancer eighth edition prognostic stage compared with the anatomic stage in breast cancer. JAMA Oncol. 2018;4:203–209. doi: 10.1001/jamaoncol.2017.4298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Howlader N, Cronin KA, Kurian AW, et al. Differences in breast cancer survival by molecular subtypes in the United States. Cancer Epidemiol Biomarkers Prev. 2018;27:619–626. doi: 10.1158/1055-9965.EPI-17-0627. [DOI] [PubMed] [Google Scholar]
- 57. Howlader N, Altekruse SF, Li CI, et al. US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status. J Natl Cancer Inst. 2014;106:dju055. doi: 10.1093/jnci/dju055. [DOI] [PMC free article] [PubMed] [Google Scholar]


