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...

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Main Authors: Clifton P. Thornton, Kathy Ruble
Format: Article
Language:English
Published: Cambridge University Press 2022-04-01
Series:Journal of Clinical and Translational Science
Online Access:https://www.cambridge.org/core/product/identifier/S205986612200173X/type/journal_article
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author Clifton P. Thornton
Kathy Ruble
author_facet Clifton P. Thornton
Kathy Ruble
author_sort Clifton P. Thornton
collection DOAJ
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
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spelling doaj.art-41141cd1e5d94d3cb2508a2d1c4182f52023-03-10T07:53:48ZengCambridge University PressJournal of Clinical and Translational Science2059-86612022-04-016555510.1017/cts.2022.173313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative interventionClifton P. Thornton0Kathy Ruble1Johns Hopkins UniversityJohns Hopkins UniversityOBJECTIVES/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 studieshttps://www.cambridge.org/core/product/identifier/S205986612200173X/type/journal_article
spellingShingle Clifton P. Thornton
Kathy Ruble
313 Biobehavioral predictors of dose-limiting toxicities of cancer therapy: Identification of areas for preventative intervention
Journal of Clinical and Translational Science
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
url https://www.cambridge.org/core/product/identifier/S205986612200173X/type/journal_article
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