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. 2022 Nov 9;58(11):1617. doi: 10.3390/medicina58111617

Breast Cancer Incidence Patterns in the Saudi Female Population: A 17-Year Retrospective Analysis

Ahmed M Basudan 1
Editors: Udo Jeschke1, Maria Rosaria De Miglio1
PMCID: PMC9697748  PMID: 36363574

Abstract

Background and Objectives: Breast cancer is considered the most commonly diagnosed type of cancer among women globally and in Saudi Arabia. This study aimed to assess breast cancer incidence patterns and trends among the Saudi female population. Materials and Methods: Breast cancer incidence parameters were obtained from the Saudi Cancer Registry (SCR). The data were retrospectively analyzed for the period from 2001 to 2017 to investigate changes in incidence rates. Temporal trends were also analyzed through joinpoint regression analysis and were dissected by age groups and administrative regions. Results: During the specified period, breast cancer jumped by 55% to constitute 30.9% of all cancer cases among Saudi females. The median age at diagnosis increased to reach 51 years at the end of that period, with an overall increase of 6.3%. The overall Age-Standardized Incidence Rate (ASR) escalated by 151.7% from 11.8/100,000 to 29.7/100,000 population for that period. The Eastern region noticeably had the highest ASR and peaked at 52.2/100,000 population. The joinpoint analysis of the ASR showed increased trends, with an annual percent change (APC) of 5.13% (p < 0.05, [95% CI 4–6.3]). An age-specific analysis was also performed and showed that the age group 70–74 years had the highest trend (APC 10.2%, [95% CI 7.2–13.4], p < 0.05). Region-specific analysis revealed that the Jouf region had the highest trend among the regions (APC 8.8%, [95% CI 3.7–14.2], p < 0.05). Conclusions: Our analysis indicates increased breast cancer incidence in Saudi Arabia with an alarming pace. With the existing trend, it is expected that Saudi Arabia will continue to display an increase in breast cancer incidence. Long-term preventive measures and more effective screening strategies are warranted to alleviate the burden of the disease.

Keywords: breast cancer, incidence, patterns, Saudi Arabia, cancer registry, cancer trends

1. Introduction

Breast cancer can be characterized as the abnormal proliferation of malignant cells in mammary epithelial and stromal and tissues. Over the years, breast cancer research has evolved tremendously, giving new insights into the disease’s diagnosis, development, progression, metastasis, and treatment. Despite remarkable advances in our understanding of the disease in the last half-century, it is still a major public health burden worldwide and poses a significant challenge. Breast cancer is considered the most commonly diagnosed invasive type of cancer among women globally [1]. Among women, it accounted for 24.5% of all cancer cases and 15.5% of cancer deaths around the world in 2020 [2]. In the United States, breast cancer is the leading cause of cancer death in women aged 20 to 59 years and the second-leading cause after lung cancer in women aged 60 years or older [3]. Unfortunately, patients with metastatic breast cancer (MBC) generally have a poor 5-year survival (5YS) rate of about 25%, which is still incomparable to the 5YS of localized disease (>95%) [4,5,6,7]. In Saudi Arabia, breast cancer was the most commonly diagnosed type of cancer and the second-leading cause of death after leukemia in 2018 [8]. Although the breast cancer incidence is much lower than it is many western countries, there is increasing evidence that incidence has been rising rapidly in Saudi Arabia [9]. Despite the fact that breast cancer constitutes a major public health burden in Saudi Arabia, the resources for epidemiological descriptions are limited compared to many western countries. This article provides a comprehensive assessment of breast cancer incidence parameters for the period from 2001 to 2017. Such information should be valuable for policy makers in implementing early detection and screening approaches to facilitate reduction in cancer mortality.

2. Materials and Methods

2.1. Data Source

Data are publicly available from the population-based Saudi Cancer Registry (SCR) under the supervision of the Saudi Health Council (SHC) and accessible through the National Health Information Center (NHIC) at https://nhic.gov.sa (accessed on 15 February 2022). The SCR oversees data collection through five regional offices which report to a main office to ensure full coverage of all health facilities around the kingdom. Records for 17 years (January 2001 to December 2017) were collected and examined retrospectively. Data for the years after 2017 were not publicly reported at the time of writing this manuscript. Relevant data including descriptive variables and other statistical parameters of Saudi female patients diagnosed with breast cancer for all age groups in all administrative regions were analyzed and reported. Cases with unknown nationalities and/or unknown International Classification of Diseases (ICD) codes, as identified by the World Health Organization (WHO), were excluded from the analyses. Cohort characteristics are illustrated in Table 1.

Table 1.

Characteristics of the samples included in the study.

Nationality Gender Subtypes Age
Saudi only Female only Invasive Ductal Carcinoma (IDC), Invasive Lobular Carcinoma (ILC), Mixed, or Other All age groups, as follows: 0–4, 5–9, 10–14, 15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, and >75

2.2. Administrative Regions of Saudi Arabia

Saudi Arabia has a land area of around 2.15 million km2 [10] and is divided into 13 administrative regions which include the Eastern Region, Riyadh, Makkah, Madinah, Najran, Tabuk, Northern Borders, Hail, Jouf, Asir, Qassim, Jazan, and Baha (Figure 1).

Figure 1.

Figure 1

Administrative regions of Saudi Arabia. All of the 13 administrative regions are labeled in their location within the map (map modified from Vemaps.com).

2.3. Statistical Parameters

All incidence parameters were stated as reported by the Saudi Cancer Registry (SCR). The Age-Specific Incidence Rate (AIR) was calculated as:

AIR=No. of cancer cases occurring during a specific period in a population of a specific age groupNo.of midyear population of that age group

The Age-Standardized Incidence Rate (ASR) is a summary measure of a rate that a population would have if it had a standard (reference) age structure (the World Standardized Incidence Rate was used in this case). The ASR formula used was:

ASR=Total no. of expected casesTotal standard poulation size

The Crude Incidence Rate (CIR) was calculated as the total number of cases registered in a given time period as a proportion of the total population. CIR was calculated as:

CIR=Total no. of cases diagnosed in a specific yearTotal midyear population

The incidence rates were expressed per 100,000 population.

The temporal trends estimations for age-standardized rates were predicted using the Joinpoint regression software ((version 4.9.1.0, https://surveillance.cancer.gov/joinpoint/ (accessed on 8 September 2022)) [11], which evaluates changing linear trends over successive segments of time. To reduce the possibility of the high variability in reporting changes in trends over time, the models were restricted to either 0 or 1 joinpoint. Trends were expressed as the annual percentage change (APC) at a significance level of alpha = 0.05 and a 95% confidence interval (CI). The method has been widely used to evaluate changes in incidence trends [12,13,14,15,16].

3. Results

3.1. Number of All Cancer Cases in the Saudi Population

The total number of all cancer cases for both genders among Saudis in 2001 was 5616 and increased by 147.4% to reach 13,893 cases in 2017. For females only, 2741 cases were reported in 2001 to reach 7975 cases in 2017 (191% increase), whereas 2875 and 5918 cases were reported for males only in both years (105.8% increase), respectively (Figure 2).

Figure 2.

Figure 2

Distribution of cancer cases among the Saudi population by year. Shown are the number of all cancer cases (y-axis) for both genders (brown), males (blue), and females (pink) from 2001 to 2017, as indicated in the x-axis.

3.2. Breast Cancer Cases and Age at Diagnosis in the Saudi Female Population

The number of breast cancer cases among Saudi females has increased by 351.9% from 545 cases in 2001 to 2463 in 2017 (Figure 3A and Table 2). During that period, breast cancer jumped by 55% from 19.9% to constitute 30.9% of all cancer cases among Saudi females (Figure 3B and Table 2). The median age at diagnosis was 48 years in 2001, dropped to 46 in 2015, and then kept increasing to reach 51 in 2017, with an overall increase of 6.3%, as indicated in Figure 3C and Table 2.

Figure 3.

Figure 3

Breast cancer cases and age at diagnosis in the Saudi female population. (A) The number (y-axis) of breast cancer cases among the Saudi female population. (B) Percentage (y-axis) of breast cancer cases of all Saudi female cancers. (C) Median age at diagnosis indicated in the y-axis (for the years 2001–2003, only the mean was reported). The x-axis represents the years for the period of 2001–2017.

Table 2.

Summary of Breast Cancer Incidence Parameters Among the Saudi Female Population.

Parameter 2001 2017 % Increase
(2001–2017)
Total number of all cancer cases 2741.0 7975.0 191.0
Total number of breast cancer cases 545.0 2463.0 351.9
% of breast cancer cases among all cancer cases 19.9 30.9 55.3
Breast cancer median age at diagnosis 48.0 51.0 6.3
CIR 6.8 24.6 261.8
ASR 11.8 29.7 151.7

Abbreviations: CIR = Breast cancer overall crude incidence rate; ASR = Breast cancer overall age-standardized incidence rate.

3.3. Incidence Rates for Breast Cancer among the Saudi Female Population

The breast cancer Crude Incidence Rate (CIR) had steadily increased from 6.8/100,000 to 24.6/100,000 for the period 2001–2017 (261.8% increase), as indicated in Figure 4A and Table 2. Similarly, the overall Age-Standardized Incidence Rate (ASR) had escalated by 151.7% from 11.8/100,000 to 29.7/100,000 for the same period (Figure 4B and Table 2). The ASR stratified by the Saudi administrative regions revealed multiple findings. Although some regions showed fluctuations for the period of 2001–2017, the Eastern region was clearly with the highest ASR and peaked in 2017 at 52.2/100,000. Conversely, regions such as Baha, Najran, and Jazan showed lower ASRs of 9.1, 10.6, and 10.9 per 100,000 for the same year, respectively (Figure 4C). The Age-Specific Incidence Rate (AIR) swung throughout the years for that period. However, the AIR has always reached its peak between the age of 50 and 74 years, except for year 2003, where the peak was in the 45–49 group (Figure 4D).

Figure 4.

Figure 4

Incidence rates for breast cancer among the Saudi female population. (A) Breast cancer Crude Incidence Rate (CIR). (B) Overall Age-Standardized Incidence Rate (ASR). (C) Age-Standardized Incidence Rate (ASR) stratified by administrative regions in Saudi Arabia. The years for the period of 2001–2017 are indicated in the x-axes. (D) Age-Specific Incidence Rate (AIR) shown for each age group (x-axis). All rates are per 100,000 population, as indicated in the y-axes.

3.4. Distribution of Breast Cancer Histological Subtypes

The breast cancer cases were histopathologically subclassified into Invasive Ductal Carcinoma (IDC), Invasive Lobular Carcinoma (ILC), Mixed, or Other. For the period of 2001–2017, IDC constantly remained the dominant subtype (72.4–80.5%). The distributions for the other subtypes are indicated in supplementary Figure S1. The mean percentage for the IDC, ILC, and mixed subtypes were 77.8%, 5.8%, and 2.6%, respectively.

3.5. Trends in Breast Cancer Incidence

For the period of 2001–2017, a joinpoint analysis of the age-standardized incidence rates (ASR) of breast cancer showed increased trends, with an annual percent change (APC) of 5.13% (p < 0.05, [CI 4–6.3], Figure 5A). In another module, the trend was more pronounced for the period of 2001–2007 compared to the period of 2007–2017 (APC 10.07% [CI 6.3–14] vs. 2.83% [CI 1.2–4.5], Figure 5A). An age-specific analysis was also performed and showed that the age group of 70–74 years had the highest trend (Table 3: APC 10.2%, [CI 7.2–13.4], p < 0.05). Region-specific analysis revealed that the Jouf region had the highest trend among the regions (Table 4: APC 8.8%, [CI 3.7–14.2], p < 0.05).

Figure 5.

Figure 5

Trends in breast cancer incidence. (A) Jointpoint regression analysis of breast cancer Overall Age-Standardized Incidence Rate (ASR) in the Saudi female population for the period of 2001–2017. The estimated Annual Percent Change (APC) for two modules (Module_1 and Module_2) is displayed at the bottom of the figure, (* indicates p < 0.05). (B) Estimated Annual Percent Change (APC) of Overall Age-Standardized Incidence Rate (ASR) for selected countries in comparison to Saudi Arabia (2007–2016). Data for other countries were acquired from the International Agency for Research on Cancer (IARC) [17].

Table 3.

Trends in Breast Cancer Incidence by Age Groups (2001–2017).

Age Group APC 95% CI
45–49 4.1 * [2.6–5.7]
50–54 6.8 * [5.7–8]
55–59 6.9 * [5.1–8.7]
60–64 5.2 * [3.6–6.9]
65–69 6.0 * [3.4–8.6]
70–74 10.2 * [7.2–13.4]
75+ 7.2 * [6–8.5]

Abbreviations: APC = Annual Percentage Change; CI = Confidence Interval. * Indicates that the Annual Percent Change (APC) is significantly different from zero at the alpha = 0.05 level.

Table 4.

Trends in Breast Cancer Incidence by Administrative Regions (2001–2017).

Region APC 95% CI
Asir 6.0 * [4.6–7.5]
Baha 6.9 * [1.1–13.1]
East 4.8 * [3.7–6]
Hail 8.7 * [6.2–11.3]
Jazan 3.8 [−0.1–7.8]
Jouf 8.8 * [3.7–14.2]
Madinah 4.8 * [2.5–7.3]
Makkah 4.0 * [2.4–5.6]
Najran 4.7 [−0.5–10.2]
North 8.6 * [3–14.6]
Qassim 6.2 * [3.6–8.9]
Riyadh 4.8 * [3.8–5.9]
Tabuk 2 [−0.4–4.4]

Abbreviations: APC = Annual Percentage Change; CI = Confidence Interval. * Indicates that the Annual Percent Change (APC) is significantly different from zero at the alpha = 0.05 level.

Estimated APCs in ASR for selected countries were available for the period of 2007–2016 through the International Agency for Research on Cancer (IARC) [17]. For Saudi Arabia, our joinpoint analysis for the same period revealed an APC of 2.3% (p < 0.05, [CI 0.4–4.2]), which was the highest compared to the rest of the countries (Figure 5B).

4. Discussion

This study describes a comprehensive assessment of female breast cancer incidence by age and geographical distribution for the period of 2001–2017 in Saudi Arabia. Overall, the burden of breast cancer incidence is rapidly growing, where the number of breast cancer cases among Saudi females increased by 351.9%. During the same period, breast cancer jumped by 55% from 19.9% to constitute 30.9% of all cancer cases among Saudi females. The breast cancer Crude Incidence Rate (CIR) underwent a 261.8% increase to reach 24.6 per 100,000 in 2017. Similarly, the overall Age-Standardized Incidence Rate (ASR) has escalated by 151.7% and peaked at 29.7/100,1000 in that year. A deeper analysis of the ASR showed some variation between the different geographical regions. For example, the Eastern and Riyadh regions reported the highest incidence, in contrast to regions such as Baha and Jazan. This variation can be explained by the fact that the Riyadh and Eastern regions represent the largest two regions in Saudi Arabia, and they hold more than 40% of the population. In addition, this increase can be attributed—at least partly—to higher accessibility to better health care facilities, where a higher detection rate for cases is expected [18].

It has previously been reported that more than 55–75% of breast cancer cases among Arab women are diagnosed before the age of 50 years (in contrast to only 30% in western countries) [19,20]. Interestingly, the median age at diagnosis in our analysis showed an interesting increase of 6.3% and reached 51 years in 2017. This finding seems to be in line with the current transition to and adaptation of a more westernized lifestyle in Saudi Arabia. Although the ASR in Saudi Arabia might seem low compared to many western countries, our analysis of the annual percent change (APC) of ASR for a ten-year period (2007–2016) in Saudi Arabia showed an alarming rate in comparison to selected countries (Saudi Arabia was at the top of the list with 2.3% APC). The marked increase in breast cancer incidence in Saudi Arabia is worth exploring. It is possible that changes in factors such as reproductive capacity, socioeconomic status, life expectancy, smoking, screening, and treatment options can lead to an accelerated increase in breast cancer incidence. It has been previously estimated that women who have their first full-term pregnancy before the age of 20 have a significantly lower risk of developing breast cancer compared to those after the age of 30, and the risk is more pronounced among estrogen-receptor-positive cases [21,22]. The last couple decades have shown marked changes in the roles of Saudi women, which has affected reproductive behavior, particularly the age at first childbirth. In that period, the mean age first pregnancy increased tremendously from 18 to 28 years [23,24]. In addition, fertility has declined by more than 50% in Saudi Arabi from 1990 to 2014 [19]. There is a significant amount of evidence that multiple full-term pregnancies can reduce the risk of developing breast cancer [25,26].

Sedentary lifestyle (accompanied by obesity, diabetes, and decreased physical activity) among women in Saudi Arabia and the Gulf Cooperation Council (GCC) countries is high and can lead to increased breast cancer risk. The reduced physical activity is probably due to the limited access to suitable exercise facilities, cultural norms in some regions, and the extremely hot weather that extends to many months during the year [27,28,29]. In addition, the abundance of housemaids and drivers to take care of many of the household duties can be contributing factors. There is clear evidence that the relative risk (RR) of developing breast cancer is more than twice as high for obese women compared to normal-weight women, especially in postmenopausal females [30,31,32].

With the adoption of a westernized lifestyle, smoking status and exposure to stress are expected to increase among Saud females. In fact, the estimated incidence for smoking in both genders has increased by 12.5% (the highest among GCC countries) from 1990 to 2012 and is expected to increase further [9]. In addition, smoking shisha—which is more preferable to females than cigarettes—is far worse because of the much higher amounts of nicotine [33]. It has been evidenced that women who have been smoking for more than ten years have about a 10% increased risk of developing breast cancer compared to non-smoking women [34,35,36].

As a result of the better control of communicable and infectious diseases, Saudi Arabia has shown a longer life expectancy. The total life expectancy consistently increased by 7.4% from 1990 to 2014 [19]. Most cancers (including breast cancer) are considered age-related disease, and the incidence increases with age and longevity [37,38].

To our knowledge, this study represents the longest evaluation of breast cancer incidence patterns in the Saudi female population. Nevertheless, there is an urgent need for information about mortality trends and survival rates, which are not reported here. Given that mortality has declined in many westernized countries [39], it will be interesting to explore if the same behavior is recognized in Saudi Arabia. Similarly, information about the stage at the diagnosis is important, as it reflects the effect on prognosis. It has been shown that Arab women with breast cancer fail to seek medical attention at early phases, even if the disease is symptomatic. This, in turn, was reflected in the high number of aggressive cases seen in healthcare centers. However, it is expected that, with more awareness and education programs, there will be an increase in the early detection of cases, which will increase the case incidence but lead to less aggressive behavior. It is well-known from multiple studies that breast cancer presentation in young women is more likely to be at an advanced stage and aggressive [40,41,42,43]. With the change seen in the mean age at diagnosis (now >50 years), it is pivotal to perceive how that correlates with the aggressiveness and stage of the disease. Finally, it has been shown that BRCA mutant breast cancer is more likely to be triple negative (TNBC) and more aggressive than sporadic breast cancer [44,45]. Thus, it is essential in monitoring how BRCA mutations frequency changed over the years given that there might have been changes in the consanguinity rates. This change can affect the molecular subtypes distribution and, eventually, the treatment options and mortality.

5. Conclusions

Our analysis indicates increased breast cancer incidence in Saudi Arabia, concomitant with changes in routine habits and the adoption of a westernized lifestyle. With current data trends, it is expected that Saudi Arabia might display an increase in breast cancer incidence until it reaches a stable ASR—similar to or even more than that seen in many western countries. Therefore, long-term preventive measures and strategies should be applied to reduce breast cancer incidence and mortality. These include (but are not limited to) combating tobacco use, increasing awareness of body weight and physical activity, and implementing effective screening programs.

Acknowledgments

The authors extend their appreciation to the Saudi Cancer Registry (SCR) under the supervision of the Saudi Health Council (SHC) for making the data accessible through the National Health Information Center (NHIC). The authors are grateful to the Deanship of Scientific Research, King Saud University for funding this research project through the Vice Deanship of Scientific Research Chairs (DSRVCH) and the Research Chair of Medical and Molecular Genetics.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/medicina58111617/s1, Figure S1: Distribution of breast cancer histological subtypes. Percentage of each subtype is shown in the y-axis and color-coded (dark red = IDC, orange = ILC, yellow = Mixed, and grey = Other). The x-axis represents the years for the period of 2001–2017. IDC: Invasive Ductal Carcinoma; ILC: Invasive Lobular Carcinoma.

Institutional Review Board Statement

The data are deidentified and publicly available; thus, they do not require review by an institutional review board.

Informed Consent Statement

No data with identifiable information that would require consent for publication were used for this study.

Data Availability Statement

Publicly available datasets were analyzed in this study. These data can be found here: https://nhic.gov.sa (accessed on 15 February 2022).

Conflicts of Interest

The author declares no conflict of interest.

Funding Statement

The authors are grateful to the Deanship of Scientific Research, King Saud University for funding this research project through the Vice Deanship of Scientific Research Chairs (DSRVCH) and the Research Chair of Medical and Molecular Genetics.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Houghton S.C., Hankinson S.E. Cancer progress and priorities: Breast cancer, cancer epidemiol. Biomark. Prev. 2021;30:822–844. doi: 10.1158/1055-9965.EPI-20-1193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. 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]
  • 3.Siegel R.L., Miller K.D., Fuchs H.E., Jemal A. Cancer statistics, 2022. CA: A Cancer J. Clin. 2022;72:7–33. doi: 10.3322/caac.21708. [DOI] [PubMed] [Google Scholar]
  • 4.Rabbani S.A., Mazar A.P. Evaluating distant metastases in breast cancer: From biology to outcomes. Cancer Metastasis Rev. 2007;26:663–674. doi: 10.1007/s10555-007-9085-8. [DOI] [PubMed] [Google Scholar]
  • 5.Valastyan S., Weinberg R.A. Tumor metastasis: Molecular insights and evolving paradigms. Cell. 2011;147:275–292. doi: 10.1016/j.cell.2011.09.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Steeg P.S. Targeting metastasis. Nat. Rev. Cancer. 2016;16:201–218. doi: 10.1038/nrc.2016.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Mariotto A.B., Etzioni R., Hurlbert M., Penberthy L., Mayer M. Estimation of the number of women living with metastatic breast cancer in the United States. Cancer Epidemiol. Prev. Biomark. 2017;26:809–815. doi: 10.1158/1055-9965.EPI-16-0889. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Alqahtani W.S., Almufareh N.A., Domiaty D.M., Albasher G., Alduwish M.A., Alkhalaf H., Almuzzaini B., Al-Marshidy S.S., Alfraihi R., Elasbali A.M., et al. Epidemiology of cancer in Saudi Arabia thru 2010–2019: A systematic review with constrained meta-analysis Running title: Epidemiology of cancer in Saudi Arabia thru 2010–2019. AIMS Public Health. 2020;7:679–696. doi: 10.3934/publichealth.2020053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Al-Othman S., Haoudi A., Alhomoud S., Alkhenizan A., Khoja T., Al-Zahrani A. Tackling cancer control in the Gulf Cooperation Council Countries. Lancet Oncol. 2015;16:e246–e257. doi: 10.1016/S1470-2045(15)70034-3. [DOI] [PubMed] [Google Scholar]
  • 10.Demographic and Health Indicators for Countries of the Eastern Mediterranean. 1999. [(accessed on 8 September 2022)]. Available online: https://apps.who.int/iris/handle/10665/116297.
  • 11.Kim H.-J., Fay M.P., Feuer E.J., Midthune D.N. Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. Stat. Med. 2000;19:351. doi: 10.1002/(SICI)1097-0258(20000215)19:3&#x0003c;335::AID-SIM336&#x0003e;3.0.CO;2-Z. [DOI] [PubMed] [Google Scholar]
  • 12.Lei S., Zheng R., Zhang S., Wang S., Chen R., Sun K., Zeng H., Zhou J., Wei W. Global patterns of breast cancer incidence and mortality: A population-based cancer registry data analysis from 2000 to 2020. Cancer Commun. 2021;41:1183–1194. doi: 10.1002/cac2.12207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Baade P.D., Youlden D.R., Cramb S.M., Dunn J., Gardiner R.A. Epidemiology of prostate cancer in the Asia-Pacific region. Prostate Int. 2013;1:47–58. doi: 10.12954/PI.12014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Politis M., Higuera G., Chang L.R., Gomez B., Bares J., Motta J. Trend analysis of cancer mortality and incidence in Panama, using Joinpoint Regression Analysis. Medicine. 2015;94:e970. doi: 10.1097/MD.0000000000000970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Albeshan S.M., Alashban Y.I. Incidence trends of breast cancer in Saudi Arabia: A Joinpoint Regression Analysis (2004–2016) J. King Saud Univ. Sci. 2021;33:101578. doi: 10.1016/j.jksus.2021.101578. [DOI] [Google Scholar]
  • 16.Fares M.Y., Salhab H.A., Khachfe H.H., Khachfe H.M. Breast cancer epidemiology among Lebanese women: An 11-year analysis. Medicina. 2019;55:463. doi: 10.3390/medicina55080463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.WHO International Agency for Research on Cancer. The Global Cancer Observatory (GCO). 2022. [(accessed on 14 September 2022)]. Available online: https://gco.iarc.fr/overtime/en.
  • 18.Bawazir A., Al-Zamel N., Amen A., Akiel M., Alhawiti N.M., AlShehri A. The burden of leukemia in the Kingdom of Saudi Arabia: 15 years period (1999–2013) BMC Cancer. 2019;19:703. doi: 10.1186/s12885-019-5897-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Albeshan S.M., Mackey M.G., Hossain S.Z., Alfuraih A.A., Brennan P.C. Breast cancer epidemiology in Gulf Cooperation Council countries: A regional and international comparison. Clin. Breast Cancer. 2018;18:e381–e392. doi: 10.1016/j.clbc.2017.07.006. [DOI] [PubMed] [Google Scholar]
  • 20.Chahine G., El Rassy E., Khazzaka A., Saleh K., Rassy N., Khalife N., Atallah D. Characteristics of incident female breast cancer in Lebanon, 1990–2013: Descriptive study of 612 cases from a hospital tumor registry. Cancer Epidemiol. 2015;39:303–306. doi: 10.1016/j.canep.2015.03.008. [DOI] [PubMed] [Google Scholar]
  • 21.Ramon J.M., Escriba J.M., Casas I., Benet J., Gavalda L., Torras G., Oromi J. Age at first full-term pregnancy, lactation a n d parity and risk of breast cancer: A case-control study in Spain. Eur. J. Epidemiol. 1996;12:449–453. doi: 10.1007/BF00143995. [DOI] [PubMed] [Google Scholar]
  • 22.Bernstein L. Epidemiology of endocrine-related risk factors for breast cancer. J. Mammary Gland Biol. Neoplasia. 2002;7:3–15. doi: 10.1023/A:1015714305420. [DOI] [PubMed] [Google Scholar]
  • 23.Babay Z.A., Addar M.H., Shahid K., Meriki N. Age at menarche and the reproductive performance of Saudi women. Ann. Saudi Med. 2004;24:354–356. doi: 10.5144/0256-4947.2004.354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Shawky S., Abalkhail B.A. Maternal factors associated with the duration of breast feeding in Jeddah, Saudi Arabia. Paediatr. Perinat. Epidemiology. 2003;17:91–96. doi: 10.1046/j.1365-3016.2003.00468.x. [DOI] [PubMed] [Google Scholar]
  • 25.Kelsey J.L., Gammon M.D., John E.M. Reproductive factors and breast cancer. Epidemiologic Rev. 1993;15:36–47. doi: 10.1093/oxfordjournals.epirev.a036115. [DOI] [PubMed] [Google Scholar]
  • 26.Lambe M., Hsieh C.-C., Chan H.-W., Ekbom A., Trichopoulos D., Adami H.-O. Parity, age at first and last birth, and risk of breast cancer: A population-based study in Sweden. Breast Cancer Res. Treat. 1996;38:305–311. doi: 10.1007/BF01806150. [DOI] [PubMed] [Google Scholar]
  • 27.Ng S.W., Zaghloul S., Ali H.I., Harrison G., Popkin B.M. The prevalence and trends of overweight, obesity and nutrition-related non-communicable diseases in the Arabian Gulf States. Obes. Rev. 2010;12:1–13. doi: 10.1111/j.1467-789X.2010.00750.x. [DOI] [PubMed] [Google Scholar]
  • 28.Mabry R.M., Reeves M.M., Eakin E., Owen N. Evidence of physical activity participation among men and women in the countries of the Gulf Cooperation Council: A review. Obes. Rev. 2009;11:457–464. doi: 10.1111/j.1467-789X.2009.00655.x. [DOI] [PubMed] [Google Scholar]
  • 29.Musaiger A.O., Takruri H.R., Hassan A.S., Abu-Tarboush H. Food-based dietary guidelines for the Arab Gulf countries. J. Nutr. Metab. 2012;2012:303. doi: 10.1155/2012/905303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.La Vecchia C., Giordano S.H., Hortobagyi G.N., Chabner B. Overweight, obesity, diabetes, and risk of breast cancer: Interlocking pieces of the puzzle. Oncol. 2011;16:726–729. doi: 10.1634/theoncologist.2011-0050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Glade M.J. Nutrition. Vol. 24. 2008. Food, nutrition, physical activity and the prevention of cancer: A global perspective. World Cancer Research Fund/American Institute for Cancer Research, American Institute for Cancer Research, Washington, D.C (2007) pp. 393–398. [DOI] [Google Scholar]
  • 32.Cleary M.P., Grossmann M.E. Obesity and breast cancer: The estrogen connection. Endocrinology. 2009;150:2537–2542. doi: 10.1210/en.2009-0070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hassounah S., Rawaf D., Khoja T., Rawaf S., Hussein M., Qidwai W., Majeed A. Tobacco control efforts in the Gulf Cooperation Council countries: Achievements and challenges. East. Mediterr. Health J. 2014;20:508–513. doi: 10.26719/2014.20.8.508. [DOI] [PubMed] [Google Scholar]
  • 34.Bjerkaas E., Parajuli R., Weiderpass E., Engeland A., Maskarinec G., Selmer R., Gram I.T. Smoking duration before first childbirth: An emerging risk factor for breast cancer? Results from 302,865 Norwegian women. Cancer Causes Control. 2013;24:1347–1356. doi: 10.1007/s10552-013-0213-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Catsburg C., Miller A.B., Rohan T.E. Active cigarette smoking and risk of breast cancer. Int. J. Cancer. 2014;136:2204–2209. doi: 10.1002/ijc.29266. [DOI] [PubMed] [Google Scholar]
  • 36.Macacu A., Autier P., Boniol M., Boyle P. Active and passive smoking and risk of breast cancer: A meta-analysis. Breast Cancer Res. Treat. 2015;154:213–224. doi: 10.1007/s10549-015-3628-4. [DOI] [PubMed] [Google Scholar]
  • 37.White M.C., Holman D.M., Boehm J.E., Peipins L.A., Grossman M., Henley S.J. Age and cancer risk: A potentially modifiable relationship. Am. J. Prev. Med. 2014;46:S7–S15. doi: 10.1016/j.amepre.2013.10.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hajjar R., Atli T., Al-Mandhari Z., Oudrhiri M., Balducci L., Silbermann M. Prevalence of aging population in the Middle East and its implications on cancer incidence and care. Ann. Oncol. 2013;24((Suppl. 7)):vii11–vii24. doi: 10.1093/annonc/mdt268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Smith R.A., Ba K.S.A., Brooks D., Fedewa S.A., Manassaram-Baptiste D., Saslow D., Wender R.C. Cancer screening in the United States, 2019: A review of current American Cancer Society guidelines and current issues in cancer screening. CA A Cancer J. Clin. 2019;69:184–210. doi: 10.3322/caac.21557. [DOI] [PubMed] [Google Scholar]
  • 40.VFabiano V., Mandó P., Rizzo M., Ponce C., Coló F., Loza M., Loza J., Amat M., Mysler D., Costanzo M.V., et al. Breast Cancer in Young Women Presents With More Aggressive Pathologic Characteristics: Retrospective Analysis From an Argentine National Database. JCO Glob. Oncol. 2020;6:639–646. doi: 10.1200/JGO.19.00228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Bharat A., Aft R.L., Gao F., Margenthaler J.A. Patient and tumor characteristics associated with increased mortality in young women (≤40 years) with breast cancer. J. Surg. Oncol. 2009;100:248–251. doi: 10.1002/jso.21268. [DOI] [PubMed] [Google Scholar]
  • 42.Nixon A.J., Neuberg D., Hayes D.F., Gelman R., Connolly J.L., Schnitt S., Abner A., Recht A., Vicini F., Harris J.R. Relationship of patient age to pathologic features of the tumor and prognosis for patients with stage I or II breast cancer. J. Clin. Oncol. 1994;12:888–894. doi: 10.1200/JCO.1994.12.5.888. [DOI] [PubMed] [Google Scholar]
  • 43.Collins L.C., Marotti J.D., Gelber S., Cole K., Ruddy K., Kereakoglow S., Brachtel E.F., Schapira L., Come S.E., Winer E.P., et al. Pathologic features and molecular phenotype by patient age in a large cohort of young women with breast cancer. Breast Cancer Res. Treat. 2011;131:1061–1066. doi: 10.1007/s10549-011-1872-9. [DOI] [PubMed] [Google Scholar]
  • 44.Chen H., Wu J., Zhang Z., Tang Y., Li X., Liu S., Cao S., Li X. Association between BRCA status and triple-negative breast cancer: A meta-analysis. Front. Pharmacol. 2018;9:909. doi: 10.3389/fphar.2018.00909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.ZBaretta Z., Mocellin S., Goldin E., Olopade O.I., Huo D. Effect of BRCA germline mutations on breast cancer prognosis. Medicine. 2016;95:e4975. doi: 10.1097/MD.0000000000004975. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Publicly available datasets were analyzed in this study. These data can be found here: https://nhic.gov.sa (accessed on 15 February 2022).


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