SOME EPIDEMIOLOGICAL AND CLINICAL CHARACTERISTICS OF BREAST CANCER PATIENTS TREATED AT NGHE AN ONCOLOGY HOSPITAL
Main Article Content
Abstract
Objective: To describe several epidemiological and clinical characteristics of breast cancer patients treated at Nghe An Oncology Hospital.
Methods: A descriptive case-series study was conducted on 1,078 women with breast lesions who underwent examination and treatment at Nghe An Oncology Hospital from January 2024 to December 2025.
Results: Of 1,078 women with breast lesions, 373 cases were identified as breast cancer, representing 34.6%. The mean age of breast cancer patients was 54.19 ± 12.06 years; the malignancy detection rate increased with age and was highest among women aged ≥70 years (90.56%). Women who gave birth for the first time at ≥ 30 years of age had the highest proportion of breast cancer (57.14%). The group breastfeeding for less than 18 months had a higher proportion of breast cancer than the group breastfeeding for ≥ 18 months (50.92% vs. 28.28%). The proportion of breast cancer was higher among women with early menarche before the age of 15 years (41.83%), postmenopausal status (62.88%), a history of preterm birth (89.66%), and a family history of breast cancer (69.57%). Breastfeeding for less than 18 months was associated with a 2.63-fold higher risk of breast cancer, while early menarche was associated with approximately a 1.5-fold higher risk of breast cancer. Women with a history of preterm birth had a 14.497-fold higher risk of breast cancer than those without a history of preterm birth (OR = 14.497, 95% CI: 5.629–37.335). Similarly, women with a family history of breast cancer had a 4.469-fold higher risk of breast cancer (OR= 4.469, 95% CI: 1.822–10.962).
Conclusion: Breast cancer predominantly occurred in older women. Several hormonal, reproductive, and familial factors were associated with breast cancer in this study. These findings may help identify women at higher risk and provide useful information for breast cancer screening and early detection.
Methods: A descriptive case-series study was conducted on 1,078 women with breast lesions who underwent examination and treatment at Nghe An Oncology Hospital from January 2024 to December 2025.
Results: Of 1,078 women with breast lesions, 373 cases were identified as breast cancer, representing 34.6%. The mean age of breast cancer patients was 54.19 ± 12.06 years; the malignancy detection rate increased with age and was highest among women aged ≥70 years (90.56%). Women who gave birth for the first time at ≥ 30 years of age had the highest proportion of breast cancer (57.14%). The group breastfeeding for less than 18 months had a higher proportion of breast cancer than the group breastfeeding for ≥ 18 months (50.92% vs. 28.28%). The proportion of breast cancer was higher among women with early menarche before the age of 15 years (41.83%), postmenopausal status (62.88%), a history of preterm birth (89.66%), and a family history of breast cancer (69.57%). Breastfeeding for less than 18 months was associated with a 2.63-fold higher risk of breast cancer, while early menarche was associated with approximately a 1.5-fold higher risk of breast cancer. Women with a history of preterm birth had a 14.497-fold higher risk of breast cancer than those without a history of preterm birth (OR = 14.497, 95% CI: 5.629–37.335). Similarly, women with a family history of breast cancer had a 4.469-fold higher risk of breast cancer (OR= 4.469, 95% CI: 1.822–10.962).
Conclusion: Breast cancer predominantly occurred in older women. Several hormonal, reproductive, and familial factors were associated with breast cancer in this study. These findings may help identify women at higher risk and provide useful information for breast cancer screening and early detection.
Article Details
Keywords
Breast cancer, epidemiology, clinical characteristics.
References
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[11] R. Jose, P. Augustine, L. Paul, J. C. Haran, and S. Subramanian, “Development and validation of the Snehita BRISK model: A breast cancer risk assessment tool for risk stratification in women of the Indian subcontinent,” Clinical Epidemiology and Global Health, vol. 31, p. 101884, Jan. 2025, doi: 10.1016/j.cegh.2024.101884.
[2] A. Nafees et al., “Frequency of breast cancer in palpable breast lump,” Pakistan Journal of Medical & Health Sciences, vol. 17, no. 02, pp. 173–173, Mar. 2023, doi: 10.53350/pjmhs2023172173.
[3] Trần Minh Nguyệt, Võ Thanh Nhân, and Trần Thị Ngọc Phượng, “Nghiên cứu tỷ lệ ác tính và các yếu tố nguy cơ u vú có BIRADS 4 -5 trên nhũ ảnh được phẫu thuật tại Bệnh viện Từ Dũ, Tạp chí Y Dược học Phạm Ngọc Thạch, Tập.5(1), Trang 1-4.,” 2026.
[4] X. Mao et al., “Association of reproductive risk factors and breast cancer molecular subtypes: a systematic review and meta-analysis,” BMC Cancer, vol. 23, p. 644, Jul. 2023, doi: 10.1186/s12885-023-11049-0.
[5] J. A. McDonald et al., “Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk,” JAMA Netw Open, vol. 7, no. 8, pp. e2427441–e2427441, Aug. 2024, doi: 10.1001/jamanetworkopen.2024.27441.
[6] Á. Fernández-Aparicio, J. Schmidt-RioValle, P. A. García, and E. González-Jiménez, “Short Breastfeeding Duration is Associated With Premature Onset of Female Breast Cancer,” Clin Nurs Res, vol. 31, no. 5, pp. 901–908, Jun. 2022, doi: 10.1177/10547738211069725.
[7] L. Liu, X. Hao, Z. Song, X. Zhi, S. Zhang, and J. Zhang, “Correlation between family history and characteristics of breast cancer,” Sci Rep, vol. 11, no. 1, p. 6360, Mar. 2021, doi: 10.1038/s41598-021-85899-8.
[8] M. Razavi et al., “Preterm Birth and Breast Cancer Risk: A Systematic Review and Meta-Analysis,” Asian Pac J Cancer Prev, vol. 24, no. 1, pp. 25–35, Jan. 2023, doi: 10.31557/APJCP.2023.24.1.25.
[9] J. Russo, G. A. Balogh, and I. H. Russo, “Full-term pregnancy induces a specific genomic signature in the human breast,” Cancer Epidemiol Biomarkers Prev, vol. 17, no. 1, pp. 51–66, Jan. 2008, doi: 10.1158/1055-9965.EPI-07-0678.
[10] H. R. Brewer, M. E. Jones, M. J. Schoemaker, A. Ashworth, and A. J. Swerdlow, “Family history and risk of breast cancer: an analysis accounting for family structure,” Breast Cancer Res Treat, vol. 165, no. 1, pp. 193–200, Aug. 2017, doi: 10.1007/s10549-017-4325-2.
[11] R. Jose, P. Augustine, L. Paul, J. C. Haran, and S. Subramanian, “Development and validation of the Snehita BRISK model: A breast cancer risk assessment tool for risk stratification in women of the Indian subcontinent,” Clinical Epidemiology and Global Health, vol. 31, p. 101884, Jan. 2025, doi: 10.1016/j.cegh.2024.101884.