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Original Articles
Predicting 5-Year Survival Status of Patients with Breast Cancer based on Supervised Wavelet Method
Maryam Farhadian, Hossein Mahjub, Jalal Poorolajal, Abbas Moghimbeigi, Muharram Mansoorizadeh
Osong Public Health Res Perspect. 2014;5(6):324-332.   Published online December 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.09.002
  • 2,552 View
  • 16 Download
  • 4 Crossref
AbstractAbstract PDF
Objectives
Classification of breast cancer patients into different risk classes is very important in clinical applications. It is estimated that the advent of high-dimensional gene expression data could improve patient classification. In this study, a new method for transforming the high-dimensional gene expression data in a low-dimensional space based on wavelet transform (WT) is presented.
Methods
The proposed method was applied to three publicly available microarray data sets. After dimensionality reduction using supervised wavelet, a predictive support vector machine (SVM) model was built upon the reduced dimensional space. In addition, the proposed method was compared with the supervised principal component analysis (PCA).
Results
The performance of supervised wavelet and supervised PCA based on selected genes were better than the signature genes identified in the other studies. Furthermore, the supervised wavelet method generally performed better than the supervised PCA for predicting the 5-year survival status of patients with breast cancer based on microarray data. In addition, the proposed method had a relatively acceptable performance compared with the other studies.
Conclusion
The results suggest the possibility of developing a new tool using wavelets for the dimension reduction of microarray data sets in the classification framework.

Citations

Citations to this article as recorded by  
  • Diagnosing thyroid disorders: Comparison of logistic regression and neural network models
    Shiva Borzouei, Hossein Mahjub, NegarAsaad Sajadi, Maryam Farhadian
    Journal of Family Medicine and Primary Care.2020; 9(3): 1470.     CrossRef
  • Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifier
    Negar Asaad Sajadi, Hossein Mahjub, Shiva Borzouei, Maryam Farhadian
    Koomesh Journal.2020; 22(1): 107.     CrossRef
  • Diagnosis of hypothyroidism using a fuzzy rule-based expert system
    Negar Asaad Sajadi, Shiva Borzouei, Hossein Mahjub, Maryam Farhadian
    Clinical Epidemiology and Global Health.2019; 7(4): 519.     CrossRef
  • WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis
    Kui Deng, Fan Zhang, Qilong Tan, Yue Huang, Wei Song, Zhiwei Rong, Zheng-Jiang Zhu, Kang Li, Zhenzi Li
    Analytica Chimica Acta.2019; 1061: 60.     CrossRef
Exposure to Dichlorodiphenyltrichloroethane and the Risk of Breast Cancer: A Systematic Review and Meta-analysis
Jae-Hong Park, Eun Shil Cha, Yousun Ko, Myung-Sil Hwang, Jin-Hwan Hong, Won Jin Lee
Osong Public Health Res Perspect. 2014;5(2):77-84.   Published online April 30, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.02.001
  • 3,096 View
  • 25 Download
  • 22 Crossref
AbstractAbstract PDF
Objectives
This study extended and updated a meta-analysis of the association between exposure to dichlorodiphenyltrichloroethane (DDT) and the risk of breast cancer.
Methods
We reviewed the published literature on exposure to DDE and breast cancer risk to update a meta-analysis from 2004. The total of 35 studies included 16 hospital-based case–control studies, 11 population-based case–control studies, and 10 nested case–control studies identified through keyword searches in the PubMed and EMBASE databases.
Results
The summary odds ratio (OR) for the identified studies was 1.03 (95% confidence interval 0.95–1.12) and the overall heterogeneity in the OR was observed (I2 = 40.9; p = 0.006). Subgroup meta-analyses indicated no significant association between exposure to DDE and breast cancer risk by the type of design, study years, biological specimen, and geographical region of the study, except from population-based case–control studies with estimated DDE levels in serum published in 1990s.
Conclusion
Existing studies do not support the view that DDE increases the risk of breast cancer in humans. However, further studies incorporating more detailed information on DDT exposure and other potential risk factors for breast cancer are needed.

Citations

Citations to this article as recorded by  
  • Validation and green profile assessment of a binary solvent liquid phase microextraction method for the determination of chlorbenside and fenobucarb in lake and wastewater samples by GC–MS
    Dotse Selali Chormey
    Environmental Science and Pollution Research.2023; 30(15): 44697.     CrossRef
  • Putative interactions between transthyretin and endosulfan II and its relevance in breast cancer
    Saurabh Sharma, Lakshay Malhotra, Paromita Mukherjee, Navneet Kaur, Thammineni Krishanlata, Chittur V. Srikanth, Vandana Mishra, Basu Dev Banerjee, Abdul Samath Ethayathulla, Radhey Shyam Sharma
    International Journal of Biological Macromolecules.2023; 235: 123670.     CrossRef
  • Exposure to Organochlorine Pesticides and Female Breast Cancer Risk According to Molecular Receptors Expression: a Systematic Review and Meta-analysis of Epidemiological Evidence
    Rodrigo Ugalde-Resano, Brenda Gamboa-Loira, Ángel Mérida-Ortega, Alma Rincón-Rubio, Gisela Flores-Collado, Maricela Piña-Pozas, Lizbeth López-Carrillo
    Current Environmental Health Reports.2023;[Epub]     CrossRef
  • Endocrine disrupting chemicals and breast cancer: a systematic review of epidemiological studies
    Murphy Lam Yim Wan, Vanessa Anna Co, Hani El-Nezami
    Critical Reviews in Food Science and Nutrition.2022; 62(24): 6549.     CrossRef
  • Epidemiology beyond its limits
    Lauren E. McCullough, Maret L. Maliniak, Avnika B. Amin, Julia M. Baker, Davit Baliashvili, Julie Barberio, Chloe M. Barrera, Carolyn A. Brown, Lindsay J. Collin, Alexa A. Freedman, David C. Gibbs, Maryam B. Haddad, Eric W. Hall, Sarah Hamid, Kristin R. V
    Science Advances.2022;[Epub]     CrossRef
  • Plasma concentrations of chlorinated persistent organic pollutants and their predictors in the general population of Algiers, Algeria
    El Hadia Mansouri, Mohamed Reggabi
    Emerging Contaminants.2021; 7: 35.     CrossRef
  • Association between type 2 diabetes and exposure to chlorinated persistent organic pollutants in Algeria: A case-control study
    El Hadia Mansouri, Mohamed Reggabi
    Chemosphere.2021; 264: 128596.     CrossRef
  • Extraction of Chlorobenzenes and PCBs from Water by ZnO Nanoparticles
    Yuntao Zhang, Ran Chen, Jim E. Riviere, Jeffrey Comer
    Processes.2021; 9(10): 1764.     CrossRef
  • Two Cases of Possible Familial Chronic Myeloid Leukemia in a Family with Extensive History of Cancer
    Marisa J.L. Aitken, Christopher B. Benton, Ghayas C. Issa, Koji Sasaki, Musa Yilmaz, Nicholas J. Short
    Acta Haematologica.2021; 144(5): 585.     CrossRef
  • In utero DDT exposure and breast density before age 50
    Nickilou Y. Krigbaum, Piera M. Cirillo, Julie D. Flom, Jasmine A. McDonald, Mary Beth Terry, Barbara A. Cohn
    Reproductive Toxicology.2020; 92: 85.     CrossRef
  • DDT exposure during pregnancy and DNA methylation alterations in female offspring in the Child Health and Development Study
    Hui-Chen Wu, Barbara A. Cohn, Piera M. Cirillo, Regina M. Santella, Mary Beth Terry
    Reproductive Toxicology.2020; 92: 138.     CrossRef
  • Prediagnostic serum concentrations of organochlorine pesticides and non-Hodgkin lymphoma: A nested case–control study in the Norwegian Janus Serum Bank Cohort
    Dazhe Chen, Tom K. Grimsrud, Hilde Langseth, Dana B. Barr, Bryan A. Bassig, Aaron Blair, Kenneth P. Cantor, Marilie D. Gammon, Qing Lan, Nathaniel Rothman, Lawrence S. Engel
    Environmental Research.2020; 187: 109515.     CrossRef
  • Global trends in pesticides: A looming threat and viable alternatives
    Akanksha Sharma, Ananya Shukla, Kriti Attri, Megha Kumar, Puneet Kumar, Ashish Suttee, Gurpal Singh, Ravi Pratap Barnwal, Neha Singla
    Ecotoxicology and Environmental Safety.2020; 201: 110812.     CrossRef
  • Exposure to Endocrine Disrupting Chemicals and Risk of Breast Cancer
    Louisane Eve, Béatrice Fervers, Muriel Le Romancer, Nelly Etienne-Selloum
    International Journal of Molecular Sciences.2020; 21(23): 9139.     CrossRef
  • Breast Cancer and Exposure to Organochlorines in the CECILE Study: Associations with Plasma Levels Measured at the Time of Diagnosis and Estimated during Adolescence
    Delphine Bachelet, Marc-André Verner, Monica Neri, Émilie Cordina Duverger, Corinne Charlier, Patrick Arveux, Sami Haddad, Pascal Guénel
    International Journal of Environmental Research an.2019; 16(2): 271.     CrossRef
  • Risk of breast cancer and adipose tissue concentrations of polychlorinated biphenyls and organochlorine pesticides: a hospital-based case-control study in Chinese women
    Wenlong Huang, Yuanfang He, Jiefeng Xiao, Yuanni Huang, Anna Li, Meirong He, Kusheng Wu
    Environmental Science and Pollution Research.2019; 26(31): 32128.     CrossRef
  • Serum levels of Organochlorine Pesticides and Breast Cancer Risk in Iranian Women
    Parisa Paydar, Gholamreza Asadikaram, Hossein Fallah, Hamid Zeynali Nejad, Hamed Akbari, Moslem Abolhassani, Vahid Moazed, Payam Khazaeli, Mahmoud Reza Heidari
    Archives of Environmental Contamination and Toxico.2019; 77(4): 480.     CrossRef
  • DDT exposure in early childhood and female breast cancer: Evidence from an ecological study in Taiwan
    Simon Chang, Sonia El-Zaemey, Jane Heyworth, Meng-chi Tang
    Environment International.2018; 121: 1106.     CrossRef
  • Chiral pharmaceuticals: Environment sources, potential human health impacts, remediation technologies and future perspective
    Yaoyu Zhou, Shikang Wu, Hao Zhou, Hongli Huang, Jia Zhao, Yaocheng Deng, Hua Wang, Yuan Yang, Jian Yang, Lin Luo
    Environment International.2018; 121: 523.     CrossRef
  • Organochlorine pesticides accumulation and breast cancer: A hospital-based case–control study
    Ting-Ting He, An-Jun Zuo, Ji-Gang Wang, Peng Zhao
    Tumor Biology.2017; 39(5): 101042831769911.     CrossRef
  • Correlation between toxic organochlorine pesticides and breast cancer
    SA Eldakroory, DA El Morsi, RH Abdel-Rahman, S Roshdy, MS Gouida, EO Khashaba
    Human & Experimental Toxicology.2017; 36(12): 1326.     CrossRef
  • Breast cancer and persistent organic pollutants (excluding DDT): a systematic literature review
    Tafzila Akter Mouly, Leisa-Maree Leontjew Toms
    Environmental Science and Pollution Research.2016; 23(22): 22385.     CrossRef
Comparison of Breast Cancer Screening Results in Korean Middle-Aged Women: A Hospital-based Prospective Cohort Study
TaeBum Lee
Osong Public Health Res Perspect. 2013;4(4):197-202.   Published online August 31, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.06.002
  • 2,629 View
  • 18 Download
  • 5 Crossref
AbstractAbstract PDF
Objectives
The aim of this hospital-based prospective study was to evaluate the diagnostic ability of breast cancer screening in Korean middle-aged women using age, ultrasonography, mammography, and magnification mammography, which are commonly used in most hospitals.
Methods
A total of 21 patents were examined using ultrasonography, mammography, and magnification mammography, and their data were prospectively analyzed from August 2011 to March 2013. All patients were divided into benign and malignant groups and the screening results were classified using the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS). The final pathology report was used as the reference standard and the sensitivity and specificity of ultrasonography, mammography, and magnification mammography were evaluated using receiver-operating characteristics (ROC) analysis.
Results
The analysis included 21 patients who underwent biopsy. Among them, three (14.3%) were positive and 18 (85.7%) negative for breast cancer. The average age was 50.5 years (range = 38–61 years). The sensitivity was the same for ultrasonography and magnification mammography and the specificity of magnification mammography was higher than that of ultrasonography. The highest area under the ROC curve (AUC) was observed in the combination of age and magnification mammography (1.000) and the decreasing order of AUC in others was magnification mammography (0.833), ultrasonography (0.787), mammography (0.667), and age (0.648).
Conclusions
In Korean women, the diagnostic accuracy of magnification mammography was better than that of ultrasonography and mammography. The combination of age and magnification mammography increased the sensitivity and diagnostic accuracy.

Citations

Citations to this article as recorded by  
  • Breast cancer in India: Present scenario and the challenges ahead
    Ravi Mehrotra, Kavita Yadav
    World Journal of Clinical Oncology.2022; 13(3): 209.     CrossRef
  • Integrating age, BMI, and serum N-glycans detected by MALDI mass spectrometry to classify suspicious mammogram findings as benign lesions or breast cancer
    Calvin R. K. Blaschke, Elizabeth G. Hill, Anand S. Mehta, Peggi M. Angel, Christine Laronga, Richard R. Drake
    Scientific Reports.2022;[Epub]     CrossRef
  • Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy
    Sae Byul Lee, Shambhunath Bose, Sei Hyun Ahn, Byung Ho Son, Beom Seok Ko, Hee Jeong Kim, Il Yong Chung, Jisun Kim, Woochang Lee, Myung-Su Ko, Kyungsoo Lee, Suhwan Chang, Hyoung Soon Park, Jong Won Lee, Dong-Chan Kim, Anna Halama
    PLOS ONE.2020; 15(4): e0231004.     CrossRef
  • Recommendations for screening and early detection of common cancers in India
    Preetha Rajaraman, Benjamin O Anderson, Partha Basu, Jerome L Belinson, Anil D' Cruz, Preet K Dhillon, Prakash Gupta, Tenkasi S Jawahar, Niranjan Joshi, Uma Kailash, Sharon Kapambwe, Vishwa Mohan Katoch, Suneeta Krishnan, Dharitri Panda, R Sankaranarayana
    The Lancet Oncology.2015; 16(7): e352.     CrossRef
  • Predicting 5-Year Survival Status of Patients with Breast Cancer based on Supervised Wavelet Method
    Maryam Farhadian, Hossein Mahjub, Jalal Poorolajal, Abbas Moghimbeigi, Muharram Mansoorizadeh
    Osong Public Health and Research Perspectives.2014; 5(6): 324.     CrossRef

PHRP : Osong Public Health and Research Perspectives