scholarly journals Towards a personalized risk assessment for exposure of humans to toxic substances

2016 ◽  
Vol 24 (2) ◽  
pp. 262-273
Author(s):  
Thaís de Almeida Pedrete ◽  
Caroline de Lima Mota ◽  
Eline Simões Gonçalves ◽  
Josino Costa Moreira

Abstract Great response variability caused by genetic and/or environmental factors has been observed among organisms exposed to hazardous chemicals. This subject has been a topic of intense discussion in the USA since President Obama announced support for an “era of precision medicine”, which consists in the inclusion of genetic data of patients in the treatment design, imposing a new approach to risk assessment. Personalized evaluation must consider the phenotypic factors of an individual. Among the markers that have been developed to evaluate any alteration in the structure or function of organisms, biomarkers of susceptibility are of great importance because they indicate the natural characteristics of a given organism which make it more sensitive to a specific adverse effect or disease, or more responsive to exposure to a specific chemical/drug. The ‘-omics’ technologies provide an insight into the relationship between chemical effects and molecular mechanisms of action. These technologies are the pillars for a personalized toxicology and precision medicine. Predictive toxicology requires a more comprehensive knowledge on specific individual factors or susceptibilities predisposing to diseases, enabling personalized risk assessment and adequate medical treatment.

2020 ◽  
Vol 29 (4) ◽  
pp. 598-606
Author(s):  
Maegan E. Roberts ◽  
Lisa R. Susswein ◽  
Wanchun Janice Cheng ◽  
Natalie J. Carter ◽  
Amber C. Carter ◽  
...  

Kardiologiia ◽  
2015 ◽  
Vol 3_2015 ◽  
pp. 75-84 ◽  
Author(s):  
I.V. Druk Druk ◽  
G.I. Nechaeva Nechaeva ◽  
O.V. Oseeva Oseeva ◽  
E.G. Pomorgajlo Pomorgajlo ◽  
V.N. Maksimov Maksimov ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xifeng Wu ◽  
Chi Pang Wen ◽  
Yuanqing Ye ◽  
MinKwang Tsai ◽  
Christopher Wen ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jure Knez ◽  
Monika Sobocan ◽  
Urska Belak ◽  
Rajko Kavalar ◽  
Mateja Zupin ◽  
...  

Abstract Background The aim of this study was to evaluate changes in prognostic risk profiles of women with endometrial cancer by comparing the clinical risk assessment with the integrated molecular risk assessment profiling. Patients and methods This prospective study recruited patients with biopsy proven endometrial cancer treated at the University Medical Centre Maribor between January 2020 to February 2021. Patient clinical data was assessed and categorized according to the currently valid European Society of Gynaecological Oncology, European SocieTy for Radiotherapy and Oncology, and European Society of Pathology (ESGO/ESTRO/ESP) guidelines on endometrial cancer. Molecular tumour characterization included determination of exonuclease domain of DNA polymerase-epsilon (POLE) mutational status by Sanger sequencing and imunohistochemical specimen evaluation on the presence of mismatch repair deficiencies (MMRd) and p53 abnormalities (p53abn). Results Fourty-five women were included in the study. Twenty-two tumours were of non-specific mutational profile (NSMP) (56.4%), 13 were classified as MMRd (33.3%), 3 were classified as p53abn (7.7%) and 1 was classified as POLE mutated (2.6%). Six tumours (15.4%) had multiple molecular classifiers, these were studied separately and were not included in the risk assessment. The clinical risk-assessment classified 21 women (53.8%) as low-risk, 5 women (12.8%) as intermediate risk, 2 women as high-intermediate risk (5.1%), 10 women (25.6%) as high risk and 1 patient as advanced metastatic (2.6%). The integrated molecular classification changed risk for 4 women (10.3%). Conclusions Integrated molecular risk improves personalized risk assessment in endometrial cancer and could potentially improve therapeutic precision. Further molecular stratification with biomarkers is especially needed in the NSMP group to improve personalized risk-assessment.


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