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A comparison of breast cancer survival across different age groups: a multicentric database study in Penang, Malaysia
King Fang Tan, Farzaana Adam, Hasmah Hussin, Noor Mastura Mohd Mujar
Epidemiol Health. 2021;43:e2021038.   Published online May 25, 2021
DOI: https://doi.org/10.4178/epih.e2021038
  • 16,181 View
  • 398 Download
  • 15 Web of Science
  • 15 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
This study compared breast cancer survival and the prognostic factors across different age groups of women in Penang, Malaysia. Data on 2,166 women with breast cancer who had been diagnosed between 2010 and 2014 were extracted from the Penang Breast Cancer Registry and stratified into 3 age groups: young (< 40 years old), middle-aged (40-59 years old), and elderly (≥ 60 years). The overall and relative survival rates were calculated using the life table method, median survival time was calculated using the Kaplan-Meier method, and comparisons between groups were conducted using the log-rank test. Prognostic factors were analyzed using a Cox proportional hazards model. The 5-year overall and breast cancer-specific survival rates for women with breast cancer in Penang were 72.9% and 75.2%, with a mean survival time of 92.5 months and 95.1 months, respectively. The 5-year breast cancer-specific survival rates for young, middle-aged, and elderly women were 74.9%, 77.8%, and 71.4%, respectively, with a mean survival time of 95.7 months, 97.5 months, and 91.2 months. There was a significant difference in breast cancer survival between age groups, with elderly women showing the lowest survival rate, followed by young and middle-aged women. Disease stage was the most prominent prognostic factor for all age groups. Survival rates and prognostic factors differed according to age group. Treatment planning for breast cancer patients should be age-specific to promote better cancer care and survival.
Summary
Key Message
The relationship between breast cancer survival and age at diagnosis has been explored, but information between survival at different age groups remains unclear, in addition to conflicting study results. This multicentre study was conducted to compare breast cancer survival across different age groups in an Asian setting.

Citations

Citations to this article as recorded by  
  • Illuminating the breast cancer survival rates among Southeast Asian women: A systematic review and meta-analysis spanning four decades
    Duc Tran Quang, Thanh Luong Thi, Khanh Nguyen Di, Chi Vu Thi Quynh, Huyen Nguyen Thi Hoa, Quang Phan Ngoc
    Current Problems in Cancer.2024; 48: 101062.     CrossRef
  • Clinical characteristics and prognostic factors of male breast cancer in China
    Han Lei, Baojie Hua, Yingying Mao, Wei Cui, Caiping Mao, Shaoxue Yang, Jiayu Li
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Five-year survival prognosis of young, middle-aged, and elderly adult female invasive breast cancer patients by clinical and lifestyle characteristics
    Yu-Tung Teng, Yong Alison Wang, Yaa-Hui Dong, Jason J. Liu
    Breast Cancer Research and Treatment.2024; 205(3): 619.     CrossRef
  • Demographic and Clinical Characteristics of Females with Breast Cancer in Iraq with Respect to Age: A Single-Center Study
    Tahseen Alrubai, Rasha Zaki, Arwa Mohsun, Ali Mohammed, Loubna Sinno, Nabih Lawand, Samaa AL Tabbah
    Forum of Clinical Oncology.2024;[Epub]     CrossRef
  • Extracellular Vesicles in Breast Cancer: From Intercellular Communication to Therapeutic Opportunities
    Barathan Muttiah, Sook Luan Ng, Yogeswaran Lokanathan, Min Hwei Ng, Jia Xian Law
    Pharmaceutics.2024; 16(5): 654.     CrossRef
  • Epidemiology of Cancer in Older Adults: A Systematic Review
    Sophie Pilleron, Esther Bastiaannet
    Current Oncology Reports.2024; 26(9): 1021.     CrossRef
  • “Sexual sacrifice”: a qualitative exploration of husbands’ experience of living with survivors of breast cancer—sexual dysfunction in Malaysia
    Mohd Najman Abd Wahid, Rosediani Muhamad, Noraini Mohamad, Nani Draman
    Supportive Care in Cancer.2024;[Epub]     CrossRef
  • Histopathological Grading based on Tumor Margin according to BI-RADS Mammography in Breast Cancer
    Shabrinna Ayasha, Lies Mardiyana, Budi Utomo, Iskandar Ali
    JUXTA: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga.2024; 15(2): 119.     CrossRef
  • Cancer–related symptoms among young and middle–aged women undergoing chemotherapy for breast cancer: Application of latent class analysis and network analysis
    Tingting Cai, Tingting Zhou, Qingmei Huang, Fulei Wu, Feixia Ni, Changrong Yuan
    European Journal of Oncology Nursing.2023; 63: 102287.     CrossRef
  • myBeST—A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study
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    International Journal of Environmental Research and Public Health.2023; 20(4): 2985.     CrossRef
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    Bryan Valcarcel, J. Smith Torres-Roman, Daniel Enriquez-Vera, Gabriel De-la-Cruz-Ku
    Journal of Adolescent and Young Adult Oncology.2023; 12(5): 625.     CrossRef
  • Metastasis pattern and prognosis of large cell neuroendocrine carcinoma: a population-based study
    Tongchao Jiang, Haishuang Sun, Na Li, Tongcui Jiang
    Journal of Cancer Research and Clinical Oncology.2023; 149(15): 13511.     CrossRef
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    Lijun Ma, Ailan Liu, Jinnan Gao, Haoliang Zhao
    Open Life Sciences.2023;[Epub]     CrossRef
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    Jun Lu, Pinbo Liu, Ran Zhang
    Frontiers in Molecular Biosciences.2022;[Epub]     CrossRef
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    Mohd Nasrullah Nik Ab Kadir, Najib Majdi Yaacob, Siti Norbayah Yusof, Imi Sairi Ab Hadi, Kamarul Imran Musa, Seoparjoo Azmel Mohd Isa, Balqis Bahtiar, Farzaana Adam, Maya Mazuwin Yahya, Suhaily Mohd Hairon
    International Journal of Environmental Research and Public Health.2022; 19(22): 15335.     CrossRef
Original Articles
A comparison of breast cancer survival among young, middle-aged, and elderly patients in southern Iran using Cox and empirical Bayesian additive hazard models
Samane Nematolahi, Seyyed Mohammad Taghi Ayatollahi
Epidemiol Health. 2017;39:e2017043.   Published online October 16, 2017
DOI: https://doi.org/10.4178/epih.e2017043
  • 13,019 View
  • 211 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
A survival analysis of breast cancer patients in southern Iran according to age has yet to be conducted. This study aimed to quantify the factors contributing to a poor prognosis, using Cox and empirical Bayesian additive hazard (EBAH) models, among young (20-39 years), middle-aged (40-64 years), and elderly (≥ 65 years) women.
METHODS
Data from 1,574 breast cancer patients diagnosed from 2002 to 2012 in the cancer registry of Fars Province (southern Iran) were stratified into 3 age groups. The Kaplan-Meier method was used to estimate the overall survival rates. Cox and EBAH models were applied to each age category, and the Akaike information criterion was used to assess the goodness-of-fit of the 2 hazard models.
RESULTS
As of December 2012, 212 women (13.5%) in our study population had died, of whom 43 were young (15.3%), 134 middle-aged (11.8%), and 35 elderly (22.3%). The 5-year survival probability by age category was 0.83 (standard error [SE], 0.03), 0.88 (SE, 0.01), and 0.75 (SE, 0.04), respectively.
CONCLUSIONS
The Nottingham Prognostic Index was the most effective prognostic factor. The model based on Bayesian methodology performed better with various sample sizes than the Cox model, which is the most widely used method of survival analysis.
Summary

Citations

Citations to this article as recorded by  
  • Survivability Prediction of Breast Cancer Patients Using Three Data Mining Methods: A Comparative Study
    Maryam Jalali, Navid Reza Ghasemi, Samane Nematolahi, Najaf Zare
    Epidemiology and Health System Journal.2024; 11(1): 7.     CrossRef
  • Cancer Unveiling: A Profile of Incidence and Trends in Bam City, Southeast Iran
    Maryam Jalali, Navid Reza GHasemi, Sajad KHosravi, Mahnaz Hasani, Samane Nematolahi, Najaf Zare
    South Asian Journal of Cancer.2024;[Epub]     CrossRef
  • The health literacy level and its related factors in Iranian women with breast cancer undergoing chemotherapy
    Reyhaneh Sadeghian, Mahsa Asadollahi Hamedani, Sajad Salehipour, Anahita Sarabandi, Fatemeh Kiani, Hassan Babamohamadi
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • sHLA-G as a biomarker for colorectal cancer pathogenesis
    Sabrine Dhouioui, Nadia Boujelbene, Hanen Chelbi, Ines Zemni, Ines Ben Safta, Hadda-Imene Ouzari, Amel Mezlini, Abdel Halim Harrath, Vera Rebmann, Inès Zidi
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    Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi, Arezou Ashaari, Marzieh Nojomi
    Geospatial Health.2021;[Epub]     CrossRef
  • BREAST CANCER IN WESTERN KAZAKHSTAN: INCIDENCE, MORTALITY AND FACTORS ASSOCIATED WITH SURVIVAL
    Marzhan A. Aitmagambetova, Yerbol Zh. Bekmukhambetov, Gaziza A. Smagulova, Anar B. Tulyayeva, Arip K. Koyshybaev, Andrey M. Grjibovski
    Ekologiya cheloveka (Human Ecology).2021; 28(7): 51.     CrossRef
  • Validation of the 8th edition of the American Joint Committee on Cancer Pathological Prognostic Staging for young breast cancer patients
    Juan Zhou, Jian Lei, Jun Wang, Chen-Lu Lian, Li Hua, Li-Chao Yang, San-Gang Wu
    Aging.2020; 12(8): 7549.     CrossRef
Intestinal obstruction: predictor of poor prognosis in colorectal carcinoma?
Mohd Azri Mohd Suan, Wei Leong Tan, Shahrul Aiman Soelar, Ibtisam Ismail, Muhammad Radzi Abu Hassan
Epidemiol Health. 2015;37:e2015017.   Published online March 30, 2015
DOI: https://doi.org/10.4178/epih/e2015017
  • 61,991 View
  • 188 Download
  • 11 Web of Science
  • 14 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
The goal of this study was to assess the relationship between intestinal obstruction and the prognosis of colorectal carcinoma.
METHODS
Data pertaining to 4,501 colorectal carcinoma patients were extracted from the national colorectal registry and analysed. Survival analysis was performed using the Kaplan-Meier method. The log-rank test was used to compare the survival rate between patients with intestinal obstruction and those without intestinal obstruction. The p-values<0.05 were considered to indicate statistical significance. Simple Cox proportional hazards regression analysis was used to estimate the crude hazard ratio of mortality from colorectal cancer.
RESULTS
Intestinal obstruction was reported in more than 13% of patients. The 3-year survival rate after treatment was 48.3% (95% confidence interval [CI], 43.9 to 52.8) for patients with intestinal obstruction (n=593) and 54.9% (95% CI, 53.1 to 56.6) for patients without intestinal obstruction (n=3,908). The 5-year survival rate for patients with intestinal obstruction was 37.3% (95% CI, 31.9 to 42.8), which was lower than that of patients without intestinal obstruction (45.6%; 95% CI, 43.5 to 47.7). After adjusting the hazard ratio for other prognostic variables, intestinal obstruction had a statistically significant negative correlation with the survival rate of colorectal cancer patients, with an adjusted hazard ratio of 1.22 (p=0.008).
CONCLUSIONS
The presence of intestinal obstruction is associated with a lower survival rate among colorectal cancer patients.
Summary

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    Statistical Applications in Genetics and Molecular Biology.2024;[Epub]     CrossRef
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    Georgiana Bianca Constantin, Dorel Firescu, Raul Mihailov, Iulian Constantin, Ioana Anca Ștefanopol, Daniel Andrei Iordan, Bogdan Ioan Ștefănescu, Rodica Bîrlă, Eugenia Panaitescu
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