Regional, racial, gender, and tumor biology disparities in breast cancer survival rates in Africa: A systematic review and meta-analysis
Autoři:
Paddy Ssentongo aff001; Joseph A. Lewcun aff002; Xavier Candela aff002; Anna E. Ssentongo aff002; Eustina G. Kwon aff002; Djibril M. Ba aff003; John S. Oh aff002; Forster Amponsah-Manu aff002; Alicia C. McDonald aff003; Vernon M. Chinchilli aff003; David I. Soybel aff002; Daleela G. Dodge aff002
Působiště autorů:
Center for Neural Engineering, Department of Engineering, Science and Mechanics, The Pennsylvania State University, Pennsylvania, United States of America
aff001; Department of Surgery, Penn State Hershey College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania, United States of America
aff002; Department of Public Health Sciences, Penn State Hershey College of Medicine and Milton S. Hershey Medical Center, Hershey, Pennsylvania, United States of America
aff003; Department of Surgery, Eastern Regional Hospital, Koforidua, Ghana
aff004
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225039
Souhrn
Background
The survival rates from breast cancer in Africa are poor and yet the incidence rates are on the rise. In this study, we hypothesized that, in Africa, a continent with great disparities in socio-economic status, race, tumor biology, and cultural characteristics, the survival rates from breast cancer vary greatly based on region, tumor biology (hormone receptor), gender, and race. We aimed to conduct the first comprehensive systematic review and meta-analysis on region, gender, tumor-biology and race-specific 5-year breast cancer survival rates in Africa and compared them to 20-year survival trends in the United States.
Methods
We searched MEDLINE, EMBASE, and Cochrane Library to identify studies on breast cancer survival in African published before October 17, 2018. Pooled 5-year survival rates of breast cancer were estimated by random-effects models. We explored sources of heterogeneity through subgroup meta-analyses and meta-regression. Results were reported as absolute difference (AD) in percentages. We compared the survival rates of breast cancer in Africa and the United States.
Findings
There were 54 studies included, consisting of 18,970 breast cancer cases. There was substantial heterogeneity in the survival rates (mean 52.9%, range 7–91%, I2 = 99.1%; p for heterogeneity <0.0001). Meta-regression analyses suggested that age and gender-adjusted 5-year survival rates were lower in sub-Saharan Africa compared to north Africa (AD: –25.4%; 95% CI: –34.9 - –15.82%), and in predominantly black populations compared to predominantly non-black populations (AD: –25.9%; 95% CI: 35.40 - –16.43%). Survival rates were 10 percentage points higher in the female population compared to male, but the difference was not significant. Progesterone and estrogen receptor-positive breast cancer subtypes were positively associated with survival (r = 0.39, p = 0.08 and r = 0.24, p = 0.29 respectively), but triple-negative breast cancer was negatively associated with survival. Survival rates are increasing over time more in non-black Africans (55% in 2000 versus 65% in 2018) compared to black Africans (33% in 2000 versus 40% in 2018); but, the survival rates for Africans are still significantly lower when compared to black (76% in 2015) and white (90% in 2015) populations in the United States.
Conclusion
Regional, sub-regional, gender, and racial disparities exist, influencing the survival rates of breast cancer in Africa. Therefore, region and race-specific public health interventions coupled with prospective genetic studies are urgently needed to improve breast cancer survival in this region.
Klíčová slova:
Africa – Breast cancer – Breast tumors – Cancer detection and diagnosis – Cancer treatment – Death rates – Systematic reviews
Zdroje
1. Torre LA, Islami F, Siegel RL, Ward EM, Jemal A. Global Cancer in Women: Burden and Trends. Cancer Epidemiology Biomarkers & Prevention2017. doi: 10.1158/1055-9965.EPI-16-0858 28223433
2. Global Burden of Disease Cancer C. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: A systematic analysis for the global burden of disease study. JAMA Oncology. 2017;3(4):524–48. doi: 10.1001/jamaoncol.2016.5688 27918777
3. Adeloye D, Sowunmi OY, Jacobs W, David RA, Adeosun AA, Amuta AO, et al. Estimating the incidence of breast cancer in Africa: a systematic review and meta-analysis. Journal of global health. 2018;8(1):010419-. Epub 2018/04/16. doi: 10.7189/jogh.08.010419 29740502.
4. Jedy-Agba E, McCormack V, Adebamowo C, dos-Santos-Silva I. Stage at diagnosis of breast cancer in sub-Saharan Africa: a systematic review and meta-analysis. The Lancet Global Health. 2016;4(12):e923–e35. https://doi.org/10.1016/S2214-109X(16)30259-5 27855871
5. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians. 2018;68(6):394–424. doi: 10.3322/caac.21492 30207593
6. Anderson BO, Ilbawi AM, El Saghir NS. Breast Cancer in Low and Middle Income Countries (LMICs): A Shifting Tide in Global Health. The Breast Journal. 2015;21(1):111–8. doi: 10.1111/tbj.12357 25444441
7. DeSantis CE, Bray F, Ferlay J, Lortet-Tieulent J, Anderson BO, Jemal A. International Variation in Female Breast Cancer Incidence and Mortality Rates. Cancer Epidemiology Biomarkers & Prevention. 2015. doi: 10.1158/1055-9965.EPI-15-0535 26359465
8. Gakwaya A, Kigula-Mugambe JB, Kavuma A, Luwaga A, Fualal J, Jombwe J, et al. Cancer of the breast: 5-year survival in a tertiary hospital in Uganda. British Journal Of Cancer. 2008;99:63. doi: 10.1038/sj.bjc.6604435 18577991
9. Galukande M, Wabinga H, Mirembe F. Breast cancer survival experiences at a tertiary hospital in sub-Saharan Africa: a cohort study. World Journal of Surgical Oncology. 2015;13(1):220. doi: 10.1186/s12957-015-0632-4 26187151
10. Cubasch H, Dickens C, Joffe M, Duarte R, Murugan N, Tsai Chih M, et al. Breast cancer survival in Soweto, Johannesburg, South Africa: A receptor-defined cohort of women diagnosed from 2009 to 11. Cancer Epidemiology. 2018;52:120–7. https://doi.org/10.1016/j.canep.2017.12.007. 29306221
11. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8(1):16.
12. Schwarzer G, Schwarzer MG. Package ‘meta’. J The R Foundation for Statistical Computing. 2012;9.
13. DerSimonian R, Laird N. Meta-analysis in clinical trials. Controlled Clinical Trials. 1986;7(3):177–88. https://doi.org/10.1016/0197-2456(86)90046-2 3802833
14. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta‐analysis. Statistics in medicine. 2002;21(11):1539–58. doi: 10.1002/sim.1186 12111919
15. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Bmj. 2003;327(7414):557–60. doi: 10.1136/bmj.327.7414.557 12958120
16. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315(7109):629–34. doi: 10.1136/bmj.315.7109.629 9310563
17. Surveillance E, and End Results (SEER) Program. Research Data (1973–2015), National Cancer Institute, DCCPS, Surveillance Research Program, released April 2018 1973–2015 [cited 2018 October 17]. Available from: www.seer.cancer.gov.
18. Ihekwaba FN. The management of male breast cancer in Nigerians. Postgraduate Medical Journal. 1993;69(813):562. doi: 10.1136/pgmj.69.813.562 8415345
19. El Mongy M, El Hossieny H, Haggag F, Fathy R. Clinico-pathological study and treatment results of 1009 operable breast cancer cases: Experience of NCI Cairo University, Egypt. The Chinese-German Journal of Clinical Oncology. 2010;9(7):409–15. doi: 10.1007/s10330-010-0614-5
20. Van den Berghe PL. Class, race and ethnicity in Africa. Ethnic and racial studies. 1983;6(2):221–36.
21. Micah AE, Chen CS, Zlavog BS, Hashimi G, Chapin A, Dieleman JL. Trends and drivers of government health spending in sub-Saharan Africa, 1995–2015. BMJ Global Health. 2019;4(1):e001159. doi: 10.1136/bmjgh-2018-001159 30775007
22. Akinyemiju TF. Socio-Economic and Health Access Determinants of Breast and Cervical Cancer Screening in Low-Income Countries: Analysis of the World Health Survey. PLOS ONE. 2012;7(11):e48834. doi: 10.1371/journal.pone.0048834 23155413
23. Woods LM, Rachet B, Coleman MP. Origins of socio-economic inequalities in cancer survival: a review. Annals of Oncology. 2006;17(1):5–19. doi: 10.1093/annonc/mdj007 16143594
24. McCormack VA, Joffe M, van den Berg E, Broeze N, dos Santos Silva I, Romieu I, et al. Breast cancer receptor status and stage at diagnosis in over 1,200 consecutive public hospital patients in Soweto, South Africa: a case series. Breast Cancer Research. 2013;15(5):R84. doi: 10.1186/bcr3478 24041225
25. Black E, Richmond R. Improving early detection of breast cancer in sub-Saharan Africa: why mammography may not be the way forward. Globalization and Health. 2019;15(1):3. doi: 10.1186/s12992-018-0446-6 30621753
26. Corbex M, Burton R, Sancho-Garnier H. Breast cancer early detection methods for low and middle income countries, a review of the evidence. The Breast. 2012;21(4):428–34. https://doi.org/10.1016/j.breast.2012.01.002. 22289154
27. Ssentongo P, Oh JS, Amponsah-Manu F, Egan M, Sani AB, Aja I, et al. Breast Cancer in Rural Sub-Saharan Africa: Why Very Few Survive. Journal of the American College of Surgeons. 2018;227(4):e148. doi: 10.1016/j.jamcollsurg.2018.08.404
28. Tetteh DA, Faulkner SL. Sociocultural Factors and Breast Cancer in Sub-Saharan Africa: Implications for Diagnosis and Management. Women's Health. 2016;12(1):147–56. doi: 10.2217/whe.15.76 26757491
29. Moodley J, Cairncross L, Naiker T, Momberg M. Understanding pathways to breast cancer diagnosis among women in the Western Cape Province, South Africa: a qualitative study. BMJ Open. 2016;6(1).
30. Pruitt L, Mumuni T, Raikhel E, Ademola A, Ogundiran T, Adenipekun A, et al. Social barriers to diagnosis and treatment of breast cancer in patients presenting at a teaching hospital in Ibadan, Nigeria. Global Public Health. 2015;10(3):331–44. doi: 10.1080/17441692.2014.974649 25443995
31. Farooqi B, Smith B, Chowdhary M, Pavoni S, Modi A, Schnell F. Racial disparities in breast cancer diagnosis in Central Georgia in the United States. J Community Support Oncol. 2015;13(12):436–41. doi: 10.12788/jcso.0179 26863874.
32. Huo D, Ikpatt F, Khramtsov A, Dangou J-M, Nanda R, Dignam J, et al. Population differences in breast cancer: survey in indigenous African women reveals over-representation of triple-negative breast cancer. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2009;27(27):4515–21. Epub 2009/08/24. doi: 10.1200/JCO.2008.19.6873 19704069.
33. Eng A, McCormack V, dos-Santos-Silva I. Receptor-defined subtypes of breast cancer in indigenous populations in Africa: a systematic review and meta-analysis. PLoS medicine. 2014;11(9):e1001720. doi: 10.1371/journal.pmed.1001720 25202974
34. Ganz PA, Yip CH, Gralow JR, Distelhorst SR, Albain KS, Andersen BL, et al. Supportive care after curative treatment for breast cancer (survivorship care): Resource allocations in low- and middle-income countries. A Breast Health Global Initiative 2013 consensus statement. The Breast. 2013;22(5):606–15. https://doi.org/10.1016/j.breast.2013.07.049. 24007941
35. Kantelhardt EJ, Zerche P, Mathewos A, Trocchi P, Addissie A, Aynalem A, et al. Breast cancer survival in Ethiopia: A cohort study of 1,070 women. International Journal of Cancer. 2014;135(3):702–9. doi: 10.1002/ijc.28691 24375396
Článek vyšel v časopise
PLOS One
2019 Číslo 11
- Tisícileté topoly, mokří psi, stárnoucí kočky a ospalé octomilky – „jednohubky“ z výzkumu 2024/41
- Jaké jsou aktuální trendy v léčbě karcinomu slinivky?
- Může hubnutí souviset s vyšším rizikem nádorových onemocnění?
- Menstruační krev má značný diagnostický potenciál, mimo jiné u diabetu
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
Nejčtenější v tomto čísle
- A daily diary study on maladaptive daydreaming, mind wandering, and sleep disturbances: Examining within-person and between-persons relations
- A 3’ UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction
- A substitution mutation in a conserved domain of mammalian acetate-dependent acetyl CoA synthetase 2 results in destabilized protein and impaired HIF-2 signaling
- Molecular validation of clinical Pantoea isolates identified by MALDI-TOF
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy