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Original Article
Lung and Thoracic cancer
Occupational Exposure to Pesticides and Lung Cancer Risk: A Propensity Score Analyses
Byungmi Kim, Eun Young Park, Jinsun Kim, Eunjung Park, Jin-Kyoung Oh, Min Kyung Lim
Cancer Res Treat. 2022;54(1):130-139.   Published online March 31, 2021
DOI: https://doi.org/10.4143/crt.2020.1106
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Occupational exposure to pesticides is thought to be associated with lung cancer, but studies have yielded conflicting results. We performed a propensity score (PS) based analyses to evaluate the relationship between occupational exposure to pesticides and lung cancer risk in the Korea National Cancer Center community-based cohort study (KNCCCS).
Materials and Methods
During the follow-up period, 123 incidental lung cancer cases were identified, of the 7,471 subjects in the final statistical analysis. Information about occupational exposure to pesticides and other factors was collected at enrollment (2003-2010). Cox proportional hazards regression analyses were conducted. Four PS-based approaches (i.e., matching, stratification, inverse probability-of-treatment weighting, and the use of the PS as a covariate) were adopted, and the results were compared. PS was obtained from the logistic regression model. Absolute standardized differences according to occupational exposure to pesticides were provided to evaluate the balance in baseline characteristics.
Results
In the Cox proportional hazards regression model, the hazard ratio (HR) for lung cancer according to occupational exposure to pesticides was 1.82 (95% confidence interval [CI], 1.11 to 2.98). With all the propensity score matching (PSM) methods, the HRs for lung cancer based on exposure to pesticides ranged from 1.65 (95% CI, 1.04 to 2.64) (continuous term with PSM) to 2.84 (95% CI, 1.81 to 4.46) (stratification by 5 strata of the PS). The results varied slightly based on the method used, but the direction and statistical significance remained the same.
Conclusion
Our results strengthen the evidence for an association between occupational exposure to pesticides and the risk of lung cancer.

Citations

Citations to this article as recorded by  
  • Lifestyle, Environmental, Occupational, and Dietary Risk Factors in Small-Cell vs. Non-Small-Cell Advanced Lung Cancer Patients: Is There a Connection?
    Jelena Jovičić-Bata, Danica Sazdanić-Velikić, Mirjana Ševo, Maja Milanović, Teodora Tubić, Milorad Bijelović, Nataša Milošević, Nataša Milić
    Cancers.2025; 17(5): 864.     CrossRef
  • Flavonoids as Insecticides in Crop Protection—A Review of Current Research and Future Prospects
    Verónica Pereira, Onofre Figueira, Paula C. Castilho
    Plants.2024; 13(6): 776.     CrossRef
  • Comprehensive assessment of pesticide use patterns and increased cancer risk
    Jacob Gerken, Gear Thomas Vincent, Demi Zapata, Ileana G. Barron, Isain Zapata
    Frontiers in Cancer Control and Society.2024;[Epub]     CrossRef
  • Dietary Exposure to Pesticide and Veterinary Drug Residues and Their Effects on Human Fertility and Embryo Development: A Global Overview
    Ambra Colopi, Eugenia Guida, Silvia Cacciotti, Serena Fuda, Matteo Lampitto, Angelo Onorato, Alice Zucchi, Carmela Rita Balistreri, Paola Grimaldi, Marco Barchi
    International Journal of Molecular Sciences.2024; 25(16): 9116.     CrossRef
  • Longitudinal study and predictive modelling of urinary pesticide metabolite concentrations in residents of Guangzhou, China
    Xiangyu Jia, Xiaotong Li, Fenfang Deng, Jia He, Qin Li, Chongshan Guo, Jun Yuan, Lei Tan
    Chemosphere.2024; 365: 143353.     CrossRef
  • Trend Analysis of Lung Cancer Incidence and Mortality in Xiamen (2011-2020)
    Jianni Cong, Jiahuang Chi, Junli Zeng, Yilan Lin
    Risk Management and Healthcare Policy.2024; Volume 17: 2375.     CrossRef
  • Geographical disparities in cancer and occupational exposure to pesticides in a French-West Indies territory (2006–2019)
    Rémi Houpert, Jacqueline Véronique-Baudin, Thierry Almont, Murielle Beaubrun-Renard, Manon Boullard, Aimée Pierre-Louis, Mylène Vestris, Stephen Ulric-Gervaise, Christelle Montabord, Jonathan Macni, Emmanuelle Sylvestre, Clarisse Joachim
    BMC Cancer.2024;[Epub]     CrossRef
  • Different types of pesticide exposure and lung cancer incidence in the Agricultural Health Study cohort: A systematic review and meta-analysis
    Yu Wang, Jingxuan Yang, Xialian Hu, Jingyi Shi, Jiaxin Deng
    Archives of Environmental & Occupational Health.2024; 79(7-8): 263.     CrossRef
  • How Does Environmental and Occupational Exposure Contribute to Carcinogenesis in Genitourinary and Lung Cancers?
    Massimiliano Cani, Fabio Turco, Simona Butticè, Ursula Maria Vogl, Consuelo Buttigliero, Silvia Novello, Enrica Capelletto
    Cancers.2023; 15(10): 2836.     CrossRef
  • How to promote agricultural enterprises to reduce the use of pesticides and fertilizers? An evolutionary game approach
    Qizheng He, Yong Sun, Maoan Yi, Huimin Huang
    Frontiers in Sustainable Food Systems.2023;[Epub]     CrossRef
  • Vaping, Environmental Toxicants Exposure, and Lung Cancer Risk
    Shaimaa A. Shehata, Eman A. Toraih, Ezzat A. Ismail, Abeer M. Hagras, Ekramy Elmorsy, Manal S. Fawzy
    Cancers.2023; 15(18): 4525.     CrossRef
  • Respiratory Tract Cancer Incidences across Industry Groups: A Nationwide Cohort Study with More Than 70 Million Person-Years of Follow-Up
    Seong-Uk Baek, Woo-Ri Lee, Ki-Bong Yoo, Jun-Hyeok Choi, Kyung-Eun Lee, Wanhyung Lee, Jin-Ha Yoon
    Cancers.2022; 14(21): 5219.     CrossRef
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  • 11 Web of Science
  • 12 Crossref
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Erratum
ERRATUM: Caveolin-1 Modulates Docetaxel-Induced Cell Death in Breast Cancer Cell Subtypes through Different Mechanisms
Jinho Kang, Joo Hee Park, Hye Jin Lee, Ukhyun Jo, Jong Kuk Park, Jae Hong Seo, Yeul Hong Kim, Insun Kim, Kyong Hwa Park
Cancer Res Treat. 2019;51(3):1257-1257.   Published online June 5, 2019
DOI: https://doi.org/10.4143/crt.2015.227.2
Corrects: Cancer Res Treat 2016;48(2):715
PDFPubReaderePub
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Original Articles
Caveolin-1 Modulates Docetaxel-Induced Cell Death in Breast Cancer Cell Subtypes through Different Mechanisms
Jinho Kang, Joo Hee Park, Hye Jin Lee, Ukhyun Jo, Jong Kuk Park, Jae Hong Seo, Yeul Hong Kim, Insun Kim, Kyong Hwa Park
Cancer Res Treat. 2016;48(2):715-726.   Published online September 21, 2015
DOI: https://doi.org/10.4143/crt.2015.227
Correction in: Cancer Res Treat 2019;51(3):1257
AbstractAbstract PDFPubReaderePub
Purpose
Caveolin-1 (CAV-1) expression is more associated with basal-like cancers than estrogen receptor- or ErbB-2–expressing breast cancers. However, the biological relevance of different levels of CAV-1 expression according to subtype in the epithelial compartment of breast cancer remains unclear.
Materials and Methods
We investigated whether CAV-1 functions as a tumor suppressor and/or modulator of the cytotoxic activity of docetaxel (DTX) in subtypes of breast cancer using in vitro and xenograft models.
Results
The levels of CAV-1 expression were closely associated with DTX sensitivity in triple-negative breast cancer cells. In addition, CAV-1 significantly inhibited cell proliferation and modulated DTX-induced apoptosis through cell cycle arrest in the G2/M phase. The mechanisms underlying DTX-induced apoptosis differed in breast cancers according to the levels of CAV- 1 expression. DTX robustly enhanced Bcl-2 inactivation by CAV-1 in MDA-MB-231 cells, while p53-mediated cell cycle arrest by DTX was more pronounced in CAV-1–low but p53-functional MCF-7 cells. In parallel with the data from breast cancer cell lines, CAV-1–transfected MCF-7 cells showed higher efficacy of DTX treatment in a xenograft model.
Conclusion
We clearly demonstrated cooperative effects between CAV-1 and DTX in mediating apoptosis, suggesting that the levels of CAV-1 expression might be an important indicator for DTX use in breast cancer.

Citations

Citations to this article as recorded by  
  • Docetaxel radiosensitizes castration-resistant prostate cancer by downregulating CAV-1
    Kevin J. Tu, Sanjit K. Roy, Zachery Keepers, Manas R. Gartia, Hem D. Shukla, Nrusingh C. Biswal
    International Journal of Radiation Biology.2024; 100(2): 256.     CrossRef
  • Bio-Pathological Functions of Posttranslational Modifications of Histological Biomarkers in Breast Cancer
    Anca-Narcisa Neagu, Claudiu-Laurentiu Josan, Taniya M. Jayaweera, Hailey Morrissiey, Kaya R. Johnson, Costel C. Darie
    Molecules.2024; 29(17): 4156.     CrossRef
  • Molecular and Immunohistochemical Alterations in Breast Cancer Patients in Upper Egypt
    Sanaa Hagag, Ahmad Kodous, HebatAllah Shaaban
    Reports of Biochemistry and Molecular Biology.2023; 11(4): 532.     CrossRef
  • Role of Caveolae family-related proteins in the development of breast cancer
    Qinyu Han, Shi Qiu, Huiwen Hu, Wenjing Li, Xiangqi Li
    Frontiers in Molecular Biosciences.2023;[Epub]     CrossRef
  • Maca Root (Lepidium meyenii) Extract Increases the Expression of MMP-1 and Stimulates Migration of Triple-Negative Breast Cancer Cells
    Daniela Bizinelli, Fernanda Flores Navarro, Flavia Lima Costa Faldoni
    Nutrition and Cancer.2022; 74(1): 346.     CrossRef
  • New dawn for cancer cell death: Emerging role of lipid metabolism
    Chanjuan Zhang, Neng Zhu, Hongfang Li, Yongzhen Gong, Jia Gu, Yaning Shi, Duanfang Liao, Wei Wang, Aiguo Dai, Li Qin
    Molecular Metabolism.2022; 63: 101529.     CrossRef
  • Optimize the combination regimen of Trastuzumab and Nab-paclitaxel in HER2-positive tumors via modulating Caveolin-1 expression by lovastatin
    Canyu Yang, Shumin Fan, Xing Wang, Wei Liu, Long Yang, Bing He, Wenbing Dai, Hua Zhang, Xueqing Wang, Qiang Zhang
    Asian Journal of Pharmaceutical Sciences.2022; 17(5): 697.     CrossRef
  • Integrated Bioinformatic Analysis of the Expression and Prognosis of Caveolae-Related Genes in Human Breast Cancer
    Yao Tian, Xiaofeng Liu, Jing Hu, Huan Zhang, Baichuan Wang, Yingxi Li, Li Fu, Ran Su, Yue Yu
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Retrospective Cohort Study of Caveolin-1 Expression as Prognostic Factor in Unresectable Locally Advanced or Metastatic Pancreatic Cancer Patients
    Alessandro Bittoni, Riccardo Giampieri, Federica Pecci, Giada Pinterpe, Alessandra Mandolesi, Michela Del Prete, Antonio Zizzi, Sonia Crocetti, Carolina Liguori, Giulia Mentrasti, Luca Cantini, Chiara Pellei, Renato Bisonni, Marina Scarpelli, Rossana Bera
    Current Oncology.2021; 28(5): 3525.     CrossRef
  • Docetaxel-loaded solid lipid nanoparticles prevent tumor growth and lung metastasis of 4T1 murine mammary carcinoma cells
    Márcia Cristina Oliveira da Rocha, Patrícia Bento da Silva, Marina Arantes Radicchi, Bárbara Yasmin Garcia Andrade, Jaqueline Vaz de Oliveira, Tom Venus, Carolin Merker, Irina Estrela-Lopis, João Paulo Figueiró Longo, Sônia Nair Báo
    Journal of Nanobiotechnology.2020;[Epub]     CrossRef
  • ECM deposition is driven by caveolin-1–dependent regulation of exosomal biogenesis and cargo sorting
    Lucas Albacete-Albacete, Inmaculada Navarro-Lérida, Juan Antonio López, Inés Martín-Padura, Alma M. Astudillo, Alessia Ferrarini, Michael Van-Der-Heyden, Jesús Balsinde, Gertraud Orend, Jesús Vázquez, Miguel Ángel del Pozo
    Journal of Cell Biology.2020;[Epub]     CrossRef
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    Isabel Castro-Piedras, David Vartak, Monica Sharma, Somnath Pandey, Laura Casas, Deborah Molehin, Fahmida Rasha, Mohamed Fokar, Jacob Nichols, Sharilyn Almodovar, Rakhshanda Layeequr Rahman, Kevin Pruitt
    Frontiers in Oncology.2020;[Epub]     CrossRef
  • Raloxifene nano-micelles effect on triple-negative breast cancer is mediated through estrogen receptor-β and epidermal growth factor receptor
    Khaled Greish, Hayley Nehoff, Fatemah Bahman, Tara Pritchard, Sebastien Taurin
    Journal of Drug Targeting.2019; 27(8): 903.     CrossRef
  • Caveolin‐1, cancer and therapy resistance
    Julia Ketteler, Diana Klein
    International Journal of Cancer.2018; 143(9): 2092.     CrossRef
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    William J. Brownlee, F. Philipp Seib
    Scientific Reports.2018;[Epub]     CrossRef
  • Caveolin‐1: An Oxidative Stress‐Related Target for Cancer Prevention
    Shengqi Wang, Neng Wang, Yifeng Zheng, Jin Zhang, Fengxue Zhang, Zhiyu Wang, Ilaria Peluso
    Oxidative Medicine and Cellular Longevity.2017;[Epub]     CrossRef
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    Amin Emad, Junmei Cairns, Krishna R. Kalari, Liewei Wang, Saurabh Sinha
    Genome Biology.2017;[Epub]     CrossRef
  • Missing-in-metastasis B (MIM-B) combined with caveolin-1 promotes metastasis of hepatocellular carcinoma
    Xiu-Yan Huang, Zi-Li Huang, Tao Niu, Zhen-Qian Wu, Bin Xu, Yong-Hua Xu, Xin-Yu Huang, Qi Zheng, Jian Zhou, Zi Chen, Zhao-You Tang
    Oncotarget.2017; 8(56): 95450.     CrossRef
  • Increased caveolin-1 in intervertebral disc degeneration facilitates repair
    Frances C. Bach, Ying Zhang, Alberto Miranda-Bedate, Lucy C. Verdonschot, Niklas Bergknut, Laura B. Creemers, Keita Ito, Daisuke Sakai, Danny Chan, Björn P. Meij, Marianna A. Tryfonidou
    Arthritis Research & Therapy.2016;[Epub]     CrossRef
  • 16,252 View
  • 182 Download
  • 22 Web of Science
  • 19 Crossref
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TGF-beta-1 Expression and p53 Mutation in Non-small Cell Carcinomas of the Lung
Han Kyeom Kim, Seol Hee Park, Young Soon Na, Yong Gu Kang, Young Sik Kim, Jung Ho Han, Mee Ja Park, Insun Kim
J Korean Cancer Assoc. 1997;29(6):1022-1031.
AbstractAbstract PDF
PURPOSE
TGF-beta-1 is actually a major growth inhibitor for most cell types. We assumed that the loss of TGF-beta-1 would be occurred during carcinogenesis of the lung. Also, the mutation and expression of p53 have been known to be major moleclar change of non-small cell carcinoma of the lung. So, the relationship between the mutation of p53 and the expression of TGF-beta-1 in the non-small cell carcinomas were evaluated.
MATERIALS AND METHODS
In 43 non-small cell carcinoma and normal tissue of the lung, their TGF-beta-1 mRNA were measured by RT-PCR and p53 was studied by SSCP and Western blotting assay.
RESULTS
p53 mutation rate in non-small cell carcinomas of the lung (48.4%) was much more frequent than the normal control group (14.3%). The expression rate of TGF-beta-1 in lung carcinomas, especially squamous cell carcinoma (71.4%), was much higher than the normal control group (42.9%). p53 mutation and TGF-beta-1 mRNA in the lung carcinomas were not strongly correlated.
CONCLUSION
It suggests that high expression rate of TGF-beta-1 and p53 mutation are associated with carcinogenesis of non-small cell carcinoma of the lung. High expression rate of TGF-beta-1 in the lung carcinomas can be partly explained by the fact that TGF-beta-1 have capacity to control the production of many components of the extracellular matrix and enhance angiogenesis in favor of tumor growth despite of their inhibitory effects of cell growth. However, additional research is required to determine the exact role of TGF-beta-1 in carcinogenesis of the lung.
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Evaulation of Angiogenesis and Matrix Metalloproteinase as Prognostic Markers in Squamous Cell Carcinoma of the Lung
Young Sik Kim, Young Bae Kim, Dong Hwan Shin, Han Kyeom Kim, Bum Woo Yeom, Jong Sang Choi, Insun Kim, Dale Lee
J Korean Cancer Assoc. 1997;29(5):816-824.
AbstractAbstract PDF
PURPOSE
In squamous cell carcinomas of the lung, the angiogenesis and the expression rates of metalloproteinase were measured to examine whether they can be useful as prognostic markers and therapeutic potentials.
MATERIALS AND METHODS
The angiogenesis and the expression rates of metalloproteinase were analyzed by counting the number of microvessels and immunohistochemically positive cells of MMP-1 and MMP-2 in 54 squamous cell carcinoma, respectively.
RESULTS
Lymph node meatastasis group showed higher angiogenesis than non-metastasis one (p=0.008). Angiogenesis were elevated with increasing clinical stage. However, MMP-1 and MMP-2 expression rate as the presence or absence of lymph node metastasis and the clinical stages were statistically insignificant, respectively. Angiogenesis failed to demonstrate any significant correlation with the expression rates of MMPs.
CONCLUSION
Our results suggests that angiogenesis level may provide informaton relevant to prognosis as well as treatment decisions.
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