Deciphering the Code between Air Pollution and Disease: The Effect of Particulate Matter on Cancer Hallmarks-Reference-Cited by-同舟云学术

Deciphering the Code between Air Pollution and Disease: The Effect of Particulate Matter on Cancer Hallmarks

Published:2019-12-24 Issue:1 Volume:21 Page:136
ISSN:1422-0067
Container-title:International Journal of Molecular Sciences
language:en
Short-container-title:IJMS

Author:

Santibáñez-Andrade Miguel^ORCID,Chirino Yolanda I.,González-Ramírez Imelda,Sánchez-Pérez Yesennia,García-Cuellar Claudia M.^ORCID

Abstract

Air pollution has been recognized as a global health problem, causing around 7 million deaths worldwide and representing one of the highest environmental crises that we are now facing. Close to 30% of new lung cancer cases are associated with air pollution, and the impact is more evident in major cities. In this review, we summarize and discuss the evidence regarding the effect of particulate matter (PM) and its impact in carcinogenesis, considering the “hallmarks of cancer” described by Hanahan and Weinberg in 2000 and 2011 as a guide to describing the findings that support the impact of particulate matter during the cancer continuum.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Link

https://www.mdpi.com/1422-0067/21/1/136/pdf

Reference84 articles.

1. The Hallmarks of Cancer

2. Hallmarks of Cancer: The Next Generation

3. Aeroparticles, Composition, and Lung Diseases

4. Particulate matter in the atmosphere: which particle properties are important for its effects on health?

5. Association of Improved Air Quality with Lung Development in Children

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