Cargando…

313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention

OBJECTIVES/GOALS: This presentation outlines a novel approach to evaluating multiple risk factors for the development of dose-limiting toxicities in adolescents and young adults with cancer. This is the first to evaluate biobehavioral predictors originally identified in animal models in clinical hum...

Descripción completa

Detalles Bibliográficos
Autores principales: Thornton, Clifton P., Ruble, Kathy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209162/
http://dx.doi.org/10.1017/cts.2022.173
_version_ 1784729883779268608
author Thornton, Clifton P.
Ruble, Kathy
author_facet Thornton, Clifton P.
Ruble, Kathy
author_sort Thornton, Clifton P.
collection PubMed
description OBJECTIVES/GOALS: This presentation outlines a novel approach to evaluating multiple risk factors for the development of dose-limiting toxicities in adolescents and young adults with cancer. This is the first to evaluate biobehavioral predictors originally identified in animal models in clinical human studies. METHODS/STUDY POPULATION: Adolescents and young adults (AYAs) have seen the slowest improvements in cancer survival and have some of the highest rates of dose-limiting mucositis (mouth sores). AYAs receiving chemotherapy with a significant chance of dose-limiting mucositis were recruited for a prospective study. Baseline perceived psychologic stress levels and inflammatory markers were collected at the time of chemotherapy administration and participants completed a daily assessment of mucositis for 14 days following chemotherapy. Logistic regression will be used to evaluate stress and inflammation as predictors of mucositis and Sobels testing will evaluate the role of inflammation as mediators in this relationship. RESULTS/ANTICIPATED RESULTS: We anticipate that, as seen in animal models, stress and inflammation will predict mucositis development. First, we hypothesize that stress levels and inflammatory markers will have a direct correlation and that the level of inflammation at the time of chemotherapy administration will predict mucositis incidence and severity. Through mediation testing, we hypothesize that inflammatory markers will explain a significant amount of the variance in mucositis also explained by stress, identifying inflammation as a mediator in this relationship. In all, we expect that stress and inflammation both predict mucositis development and will be identified as important modifiable factors that can be altered to reduce the risk of toxicity development during cancer therapy. DISCUSSION/SIGNIFICANCE: This work intends to evaluate predictors of chemotherapy-related toxicity development in AYAs with cancer and identify areas of intervention that will reduce toxicity profiles and close the gap in cancer survival for AYAs. Findings are applicable to biomedical, nursing, and psychosocial professionals and will inform future, large clinical studies
format Online
Article
Text
id pubmed-9209162
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-92091622022-07-01 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention Thornton, Clifton P. Ruble, Kathy J Clin Transl Sci Valued Approaches OBJECTIVES/GOALS: This presentation outlines a novel approach to evaluating multiple risk factors for the development of dose-limiting toxicities in adolescents and young adults with cancer. This is the first to evaluate biobehavioral predictors originally identified in animal models in clinical human studies. METHODS/STUDY POPULATION: Adolescents and young adults (AYAs) have seen the slowest improvements in cancer survival and have some of the highest rates of dose-limiting mucositis (mouth sores). AYAs receiving chemotherapy with a significant chance of dose-limiting mucositis were recruited for a prospective study. Baseline perceived psychologic stress levels and inflammatory markers were collected at the time of chemotherapy administration and participants completed a daily assessment of mucositis for 14 days following chemotherapy. Logistic regression will be used to evaluate stress and inflammation as predictors of mucositis and Sobels testing will evaluate the role of inflammation as mediators in this relationship. RESULTS/ANTICIPATED RESULTS: We anticipate that, as seen in animal models, stress and inflammation will predict mucositis development. First, we hypothesize that stress levels and inflammatory markers will have a direct correlation and that the level of inflammation at the time of chemotherapy administration will predict mucositis incidence and severity. Through mediation testing, we hypothesize that inflammatory markers will explain a significant amount of the variance in mucositis also explained by stress, identifying inflammation as a mediator in this relationship. In all, we expect that stress and inflammation both predict mucositis development and will be identified as important modifiable factors that can be altered to reduce the risk of toxicity development during cancer therapy. DISCUSSION/SIGNIFICANCE: This work intends to evaluate predictors of chemotherapy-related toxicity development in AYAs with cancer and identify areas of intervention that will reduce toxicity profiles and close the gap in cancer survival for AYAs. Findings are applicable to biomedical, nursing, and psychosocial professionals and will inform future, large clinical studies Cambridge University Press 2022-04-19 /pmc/articles/PMC9209162/ http://dx.doi.org/10.1017/cts.2022.173 Text en © The Association for Clinical and Translational Science 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
spellingShingle Valued Approaches
Thornton, Clifton P.
Ruble, Kathy
313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title_full 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title_fullStr 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title_full_unstemmed 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title_short 313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
title_sort 313 biobehavioral predictors of dose-limiting toxicities of cancer therapy: identification of areas for preventative intervention
topic Valued Approaches
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209162/
http://dx.doi.org/10.1017/cts.2022.173
work_keys_str_mv AT thorntoncliftonp 313biobehavioralpredictorsofdoselimitingtoxicitiesofcancertherapyidentificationofareasforpreventativeintervention
AT rublekathy 313biobehavioralpredictorsofdoselimitingtoxicitiesofcancertherapyidentificationofareasforpreventativeintervention