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Tsatsakis A, Oikonomopoulou T, Nikolouzakis TK, Vakonaki E, Tzatzarakis M, Flamourakis M, Renieri E, Fragkiadaki P, Iliaki E, Bachlitzanaki M, Karzi V, Katsikantami I, Kakridonis F, Hatzidaki E, Tolia M, Svistunov AA, Spandidos DA, Nikitovic D, Tsiaoussis J, Berdiaki A. Role of telomere length in human carcinogenesis (Review). Int J Oncol 2023; 63:78. [PMID: 37232367 PMCID: PMC10552730 DOI: 10.3892/ijo.2023.5526] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Cancer is considered the most important clinical, social and economic issue regarding cause‑specific disability‑adjusted life years among all human pathologies. Exogenous, endogenous and individual factors, including genetic predisposition, participate in cancer triggering. Telomeres are specific DNA structures positioned at the end of chromosomes and consist of repetitive nucleotide sequences, which, together with shelterin proteins, facilitate the maintenance of chromosome stability, while protecting them from genomic erosion. Even though the connection between telomere status and carcinogenesis has been identified, the absence of a universal or even a cancer‑specific trend renders consent even more complex. It is indicative that both short and long telomere lengths have been associated with a high risk of cancer incidence. When evaluating risk associations between cancer and telomere length, a disparity appears to emerge. Even though shorter telomeres have been adopted as a marker of poorer health status and an older biological age, longer telomeres due to increased cell growth potential are associated with the acquirement of cancer‑initiating somatic mutations. Therefore, the present review aimed to comprehensively present the multifaceted pattern of telomere length and cancer incidence association.
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Affiliation(s)
- Aristidis Tsatsakis
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | - Tatiana Oikonomopoulou
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
- Department of Anatomy, School of Medicine, University of Crete, 71003 Heraklion
| | - Taxiarchis Konstantinos Nikolouzakis
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
- Department of Anatomy, School of Medicine, University of Crete, 71003 Heraklion
| | - Elena Vakonaki
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | - Manolis Tzatzarakis
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | | | - Elisavet Renieri
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | | | - Evaggelia Iliaki
- Laboratory of Microbiology, University Hospital of Heraklion, 71500 Heraklion
| | - Maria Bachlitzanaki
- Department of Medical Oncology, Venizeleion General Hospital of Heraklion, 71409 Heraklion
| | - Vasiliki Karzi
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | - Ioanna Katsikantami
- Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion
| | - Fotios Kakridonis
- Department of Spine Surgery and Scoliosis, KAT General Hospital, 14561 Athens
| | - Eleftheria Hatzidaki
- Department of Neonatology and Neonatal Intensive Care Unit (NICU), University Hospital of Heraklion, 71500 Heraklion
| | - Maria Tolia
- Department of Radiation Oncology, University Hospital of Crete, 71110 Heraklion, Greece
| | - Andrey A. Svistunov
- Department of Pharmacology, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119146 Moscow, Russia
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Dragana Nikitovic
- Laboratory of Histology-Embryology, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - John Tsiaoussis
- Department of Anatomy, School of Medicine, University of Crete, 71003 Heraklion
| | - Aikaterini Berdiaki
- Laboratory of Histology-Embryology, School of Medicine, University of Crete, 71003 Heraklion, Greece
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Lan FY, Christophi CA, Buley J, Iliaki E, Bruno-Murtha LA, Sayah AJ, Kales SN. Effects of universal masking on Massachusetts healthcare workers' COVID-19 incidence. Occup Med (Lond) 2020; 70:606-609. [PMID: 33225363 PMCID: PMC7665621 DOI: 10.1093/occmed/kqaa179] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Background Healthcare workers (HCWs) and other essential workers are at risk of occupational infection during the COVID-19 pandemic. Several infection control strategies have been implemented. Evidence shows that universal masking can mitigate COVID-19 infection, though existing research is limited by secular trend bias. Aims To investigate the effect of hospital universal masking on COVID-19 incidence among HCWs compared to the general population. Methods We compared the 7-day average incidence rates between a Massachusetts (USA) healthcare system and Massachusetts residents statewide. The study period was from 17 March (the date of first incident case in the healthcare system) to 6 May (the date Massachusetts implemented public masking). The healthcare system implemented universal masking on 26 March, we allotted a 5-day lag for effect onset and peak COVID-19 incidence in Massachusetts was 20 April. Thus, we categorized 17–31 March as the pre-intervention phase, 1–20 April the intervention phase and 21 April to 6 May the epidemic decline phase. Temporal incidence trends (i.e. 7-day average slopes) were compared using standardized coefficients from linear regression models. Results The standardized coefficients were similar between the healthcare system and the state in both the pre-intervention and epidemic decline phases. During the intervention phase, the healthcare system’s epidemic slope became negative (standardized β: −0.68, 95% CI: −1.06 to −0.31), while Massachusetts’ slope remained positive (standardized β: 0.99, 95% CI: 0.94 to 1.05). Conclusions Universal masking was associated with a decreasing COVID-19 incidence trend among HCWs, while the infection rate continued to rise in the surrounding community.
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Affiliation(s)
- F-Y Lan
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.,Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - C A Christophi
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.,Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - J Buley
- Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - E Iliaki
- Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.,Infection Prevention, Infectious Diseases, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - L A Bruno-Murtha
- Infection Prevention, Infectious Diseases, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - A J Sayah
- Emergency Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.,Cambridge Department of Public Health, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - S N Kales
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.,Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
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