Verwendung von dosimetrischen Daten als Kovariaten in Studien zur Korrelation von genetischen Parametern mit Nebenwirkungen der Strahlentherapie

Ein systematischer Review

Translated title of the contribution: Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies: A systematic review

Noorazrul Azmie Yahya, Xin Jane Chua, Hanani A. Manan, Fuad Ismail

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Purpose: This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. Materials and methods: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates. Results: A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p?= 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity. Conclusion: A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.

Original languageGerman
Pages (from-to)1-7
Number of pages7
JournalStrahlentherapie und Onkologie
DOIs
Publication statusAccepted/In press - 17 May 2018

Fingerprint

Radiotherapy
Dose Fractionation
Information Dissemination
Genetic Association Studies
Genetic Markers
PubMed
Genes
Prescriptions
Radiation
Research

Keywords

  • Dose-response relationship, radiation
  • Genetic association studies
  • Genetic testing
  • Radiation effects
  • Radiotherapy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Oncology

Cite this

@article{ae8c1dedfb074fd4af8a1c289c799ddf,
title = "Verwendung von dosimetrischen Daten als Kovariaten in Studien zur Korrelation von genetischen Parametern mit Nebenwirkungen der Strahlentherapie: Ein systematischer Review",
abstract = "Purpose: This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. Materials and methods: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates. Results: A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p?= 0.07). 33{\%} of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29{\%} included dose distribution features as covariates and reported the results. 59{\%} of studies which included dose distribution features found significant associations to toxicity. Conclusion: A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.",
keywords = "Dose-response relationship, radiation, Genetic association studies, Genetic testing, Radiation effects, Radiotherapy",
author = "Yahya, {Noorazrul Azmie} and Chua, {Xin Jane} and Manan, {Hanani A.} and Fuad Ismail",
year = "2018",
month = "5",
day = "17",
doi = "10.1007/s00066-018-1303-5",
language = "German",
pages = "1--7",
journal = "Strahlentherapie und Onkologie",
issn = "0179-7158",
publisher = "Urban und Vogel",

}

TY - JOUR

T1 - Verwendung von dosimetrischen Daten als Kovariaten in Studien zur Korrelation von genetischen Parametern mit Nebenwirkungen der Strahlentherapie

T2 - Ein systematischer Review

AU - Yahya, Noorazrul Azmie

AU - Chua, Xin Jane

AU - Manan, Hanani A.

AU - Ismail, Fuad

PY - 2018/5/17

Y1 - 2018/5/17

N2 - Purpose: This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. Materials and methods: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates. Results: A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p?= 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity. Conclusion: A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.

AB - Purpose: This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. Materials and methods: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates. Results: A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p?= 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity. Conclusion: A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.

KW - Dose-response relationship, radiation

KW - Genetic association studies

KW - Genetic testing

KW - Radiation effects

KW - Radiotherapy

UR - http://www.scopus.com/inward/record.url?scp=85047131624&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047131624&partnerID=8YFLogxK

U2 - 10.1007/s00066-018-1303-5

DO - 10.1007/s00066-018-1303-5

M3 - Article

SP - 1

EP - 7

JO - Strahlentherapie und Onkologie

JF - Strahlentherapie und Onkologie

SN - 0179-7158

ER -