Dual role of autophagy in hallmarks of cancer
Autor: | Frank Arfuso, Celestial T. Yap, Han-Ming Shen, Ravi Manjithaya, Tuan Zea Tan, Ruby Yun-Ju Huang, Gautam Sethi, Mei Shan Ong, Alan Prem Kumar, Boon Cher Goh, Shuo Deng, Amelia Yi-Qian Chia, Somya Vats, Shikha Satendra Singh |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Cancer Research Autophagy Neurodegeneration Cancer Biology medicine.disease_cause medicine.disease Human genetics Cell biology 03 medical and health sciences Cell Transformation Neoplastic 030104 developmental biology Cytoplasm Neoplasms Genetics medicine Animals Humans Tumor promotion Carcinogenesis Molecular Biology Intracellular |
Zdroj: | Oncogene. 37:1142-1158 |
ISSN: | 1476-5594 0950-9232 |
DOI: | 10.1038/s41388-017-0046-6 |
Popis: | Evolutionarily conserved across eukaryotic cells, macroautophagy (herein autophagy) is an intracellular catabolic degradative process targeting damaged and superfluous cellular proteins, organelles, and other cytoplasmic components. Mechanistically, it involves formation of double-membrane vesicles called autophagosomes that capture cytosolic cargo and deliver it to lysosomes, wherein the breakdown products are eventually recycled back to the cytoplasm. Dysregulation of autophagy often results in various disease manifestations, including neurodegeneration, microbial infections, and cancer. In the case of cancer, extensive attention has been devoted to understanding the paradoxical roles of autophagy in tumor suppression and tumor promotion. In this review, while we summarize how this self-eating process is implicated at various stages of tumorigenesis, most importantly, we address the link between autophagy and hallmarks of cancer. This would eventually provide a better understanding of tumor dependence on autophagy. We also discuss how therapeutics targeting autophagy can counter various transformations involved in tumorigenesis. Finally, this review will provide a novel insight into the mutational landscapes of autophagy-related genes in several human cancers, using genetic information collected from an array of cancers. |
Databáze: | OpenAIRE |
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