Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy

Damage to hair follicles following exposure to toxic chemotherapeutics can cause substantial hair loss, commonly known as chemotherapy-induced alopecia (CIA). Preventive therapies remain limited; however, recent advances in the use of scalp cooling technologies have proved successful in preventing o...

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Main Authors: Iain S Haslam, Eleanor Smart
Format: Article
Language:English
Published: SAGE Publishing 2019-04-01
Series:Biomarker Insights
Online Access:https://doi.org/10.1177/1177271919842180
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spelling doaj-56b6855e945a47a29406d74e1e9070062020-11-25T03:12:30ZengSAGE PublishingBiomarker Insights1177-27192019-04-011410.1177/1177271919842180Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment EfficacyIain S Haslam0Eleanor Smart1School of Applied Sciences, University of Huddersfield, Huddersfield, UKCentre for Dermatology Research, University of Manchester, Manchester, UKDamage to hair follicles following exposure to toxic chemotherapeutics can cause substantial hair loss, commonly known as chemotherapy-induced alopecia (CIA). Preventive therapies remain limited; however, recent advances in the use of scalp cooling technologies have proved successful in preventing or reducing hair loss in some patients. Further improvements in scalp cooling efficacy and/or development of novel treatments to prevent chemotherapy-induced hair loss are required. To achieve this, post-chemotherapy assessment of hair follicle damage markers, with and without scalp cooling, would provide invaluable mechanistic and prognostic information. At present, the availability of such data is extremely limited. This article describes the potential utility of a combination of biomarkers in assessing drug-induced alopecia and the protective potential of existing or new treatments. A greater understanding of the precise mechanisms of anti-CIA therapies through biomarker analysis would enhance the rationale, use, and development of such treatments.https://doi.org/10.1177/1177271919842180
collection DOAJ
language English
format Article
sources DOAJ
author Iain S Haslam
Eleanor Smart
spellingShingle Iain S Haslam
Eleanor Smart
Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
Biomarker Insights
author_facet Iain S Haslam
Eleanor Smart
author_sort Iain S Haslam
title Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
title_short Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
title_full Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
title_fullStr Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
title_full_unstemmed Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
title_sort chemotherapy-induced hair loss: the use of biomarkers for predicting alopecic severity and treatment efficacy
publisher SAGE Publishing
series Biomarker Insights
issn 1177-2719
publishDate 2019-04-01
description Damage to hair follicles following exposure to toxic chemotherapeutics can cause substantial hair loss, commonly known as chemotherapy-induced alopecia (CIA). Preventive therapies remain limited; however, recent advances in the use of scalp cooling technologies have proved successful in preventing or reducing hair loss in some patients. Further improvements in scalp cooling efficacy and/or development of novel treatments to prevent chemotherapy-induced hair loss are required. To achieve this, post-chemotherapy assessment of hair follicle damage markers, with and without scalp cooling, would provide invaluable mechanistic and prognostic information. At present, the availability of such data is extremely limited. This article describes the potential utility of a combination of biomarkers in assessing drug-induced alopecia and the protective potential of existing or new treatments. A greater understanding of the precise mechanisms of anti-CIA therapies through biomarker analysis would enhance the rationale, use, and development of such treatments.
url https://doi.org/10.1177/1177271919842180
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AT eleanorsmart chemotherapyinducedhairlosstheuseofbiomarkersforpredictingalopecicseverityandtreatmentefficacy
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