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The Association Between Age Groups with Clinicopathologic and Molecular Subtypes of Breast Cancer Patients
Abstract
Introduction: The increase in incidence proportion of breast cancer disease among young patients < 40 years old is exceeding that of older patients. The purpose of the research is to know the differences between clinicopathologic and molecular subtypes between patients < 40 years old and ≥ 40 years old.
Methods: The conducting research on Medical Records (MR) was an observational analytic method with a cross-sectional design. The independent variable was age. Dependent variables were histopathological type, stage of disease, grade of tumor, and molecular subtype of cancer. Univariate analyses to describe the samples. The differences between those variables according to age groups were analyzed by a bivariate statistic and the odds ratio with a confident interval (CI) of 95% of each variable would be displayed by binary logistic regression statistic.
Results: The most prevalent age of breast cancer patients was in the range of 50-59 years (47%), the mean age of 53.66 ± 0.977 years, in the range of 29 years old to 86 years old, and patients aged < 40 years was 12%. Ductal carcinoma type (89.7%), stage III tumor (40.2%), poor differentiation grade III (60.7%), and luminal A subtype (42.7%) were the most prevalent clinicopathologic and molecular subtypes. There weren’t differences between histopathologic type, stage of disease, and molecular subtype with age. The histopathologic grade was different from the age variable (p=0.015). Old age had worse histopathologic differentiation than young age (OR 2.166; 95% CI 0.973-4.823).
Conclusions: There weren’t significant differences between stage and molecular subtypes of breast cancer between age groups. There was poorer histopathologic differentiation in patients ≥ 40 years.
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1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015 Mar 1;136(5):E359–86.
2. 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 Cancer J Clin [Internet]. 2018 Nov [cited 2022 May 4];68(6):394–424. Available from: https://pubmed.ncbi.nlm.nih.gov/30207593/
3. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin [Internet]. 2021 May [cited 2022 May 4];71(3):209–49. Available from: https://pubmed.ncbi.nlm.nih.gov/33538338/
4. Sinaga ES, Ahmad RA, Shivalli S, Hutajulu SH. Age at diagnosis predicted survival outcome of female patients with breast cancer at a tertiary hospital in Yogyakarta, Indonesia. Pan Afr Med J [Internet]. 2018 Nov 7 [cited 2022 Mar 25];31:163–163. Available from: https://europepmc.org/articles/PMC6492206
5. Organization IA for R on CWHO. Indonesia. World Health Organization. 2022. p. 2.
6. Fitzgibbons PL, Page DL, Weaver D, Thor AD, Allred DC, Clark GM, et al. Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999. Arch Pathol Lab Med [Internet]. 2000 Jun 1 [cited 2022 May 4];124(7):966–78. Available from: https://pubmed.ncbi.nlm.nih.gov/10888772/
7. Kheirelseid EAH, Boggs JME, Curran C, Glynn RW, Dooley C, Sweeney KJ, et al. Younger age as a prognostic indicator in breast cancer: A cohort study. BMC Cancer [Internet]. 2011 Aug 28 [cited 2022 May 4];11(1):1–7. Available from: https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-11-383
8. Alieldin NH, Abo-Elazm OM, Bilal D, Salem SE, Gouda E, Elmongy M, et al. Age at diagnosis in women with non-metastatic breast cancer: Is it related to prognosis? J Egypt Natl Canc Inst [Internet]. 2014 Mar [cited 2022 May 4];26(1):23–30. Available from: https://pubmed.ncbi.nlm.nih.gov/24565679/
9. Abdel-Razeq H, Iweir S, Abdel-Razeq R, Rahman FA, Almasri H, Bater R, et al. Differences in clinicopathological characteristics, treatment, and survival outcomes between older and younger breast cancer patients. Sci Rep [Internet]. 2021 Dec 1 [cited 2022 May 4];11(1):14340. Available from: /pmc/articles/PMC8275803/
10. Aryandono T, Harijadi S. Breast cancer in young women: prognostic factors and clinicopathological features - PubMed [Internet]. Asian Pasific J Cancer Prev. 2006 [cited 2022 May 4]. p. 6. Available from: https://pubmed.ncbi.nlm.nih.gov/17059343/
11. Fabiano V, Mandó P, Rizzo M, Ponce C, Coló F, Loza M, et al. Breast Cancer in Young Women Presents With More Aggressive Pathologic Characteristics: Retrospective Analysis From an Argentine National Database. JCO Glob Oncol [Internet]. 2020 Nov [cited 2022 May 4];6(6):639–46. Available from: https://pubmed.ncbi.nlm.nih.gov/32315233/
12. Zhang X, Yang J, Cai H, Ye Y. Young age is an independent adverse prognostic factor in early stage breast cancer: a population-based study. Cancer Manag Res [Internet]. 2018 [cited 2022 May 4];10:4005–18. Available from: https://pubmed.ncbi.nlm.nih.gov/30310322/
13. Bouchardy C, Fioretta G, Verkooijen HM, Vlastos G, Schaefer P, Delaloye JF, et al. Recent increase of breast cancer incidence among women under the age of forty. Br J Cancer [Internet]. 2007 Jun 4 [cited 2022 May 4];96(11):1743. Available from: /pmc/articles/PMC2359920/
14. Dobi Á, Kelemen G, Kaizer L, Weiczner R, Thurzó L, Kahán Z. Breast cancer under 40 years of age: increasing number and worse prognosis. Pathol Oncol Res [Internet]. 2011 Jun [cited 2022 May 4];17(2):425–8. Available from: https://pubmed.ncbi.nlm.nih.gov/20848250/
15. Zaheer S, Shah N, Maqbool SA, Soomro NM. Estimates of past and future time trends in age-specific breast cancer incidence among women in Karachi, Pakistan: 2004-2025. BMC Public Health [Internet]. 2019 Jul 25 [cited 2022 May 4];19(1):1–9. Available from: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-019-7330-z
16. Phung MT, Tin Tin S, Elwood JM. Prognostic models for breast cancer: a systematic review. BMC Cancer [Internet]. 2019 Mar 14 [cited 2022 May 4];19(1). Available from: https://pubmed.ncbi.nlm.nih.gov/30871490/
17. Widodo I, Dwianingsih EK, Triningsih E, Utoro T, Soeripto. Clinicopathological features of indonesian breast cancers with different molecular subtypes. Asian Pac J Cancer Prev [Internet]. 2014 [cited 2022 May 4];15(15):6109–13. Available from: https://pubmed.ncbi.nlm.nih.gov/25124582/
18. Wong FY, Tham WY, Nei WL, Lim C, Miao H. Age exerts a continuous effect in the outcomes of Asian breast cancer patients treated with breast-conserving therapy. Cancer Commun (London, England) [Internet]. 2018 Jun 26 [cited 2022 May 4];38(1). Available from: https://pubmed.ncbi.nlm.nih.gov/29941044/
19. Elkum N, Dermime S, Ajarim D, Al-Zahrani A, Alsayed A, Tulbah A, et al. Being 40 or younger is an independent risk factor for relapse in operable breast cancer patients: The Saudi Arabia experience. BMC Cancer [Internet]. 2007 Dec 5 [cited 2022 May 4];7(1):1–8. Available from: https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-7-222
20. Lima SM, Kehm RD, Swett K, Gonsalves L, Terry MB. Trends in Parity and Breast Cancer Incidence in US Women Younger Than 40 Years From 1935 to 2015. JAMA Netw Open [Internet]. 2020 Mar 2 [cited 2022 May 4];3(3):e200929–e200929. Available from: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2762705
21. Hiatt RA, Brody JG. Environmental Determinants of Breast Cancer. Annu Rev Public Health [Internet]. 2018 Apr 1 [cited 2022 May 4];39:113–33. Available from: https://pubmed.ncbi.nlm.nih.gov/29328875/
22. Rodgers KM, Udesky JO, Rudel RA, Brody JG. Environmental chemicals and breast cancer: An updated review of epidemiological literature informed by biological mechanisms. Environ Res [Internet]. 2018 [cited 2022 May 4];160:152–82. Available from: https://pubmed.ncbi.nlm.nih.gov/28987728/
23. Eve L, Fervers B, Romancer M Le, Etienne-Selloum N. Exposure to Endocrine Disrupting Chemicals and Risk of Breast Cancer. Int J Mol Sci [Internet]. 2020 Dec 1 [cited 2022 May 4];21(23):1–43. Available from: /pmc/articles/PMC7731339/
24. Syed BM, Green AR, Rakha EA, Morgan DAL, Ellis IO, Cheung KL. Age-Related Biology of Early-Stage Operable Breast Cancer and Its Impact on Clinical Outcome. Cancers (Basel) [Internet]. 2021 Mar 2 [cited 2022 May 4];13(6):1–17. Available from: /pmc/articles/PMC8003777/
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