Haslam Iain S, Smart Eleanor
School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Centre for Dermatology Research, University of Manchester, Manchester, UK.
Biomark Insights. 2019 Apr 17;14:1177271919842180. doi: 10.1177/1177271919842180. eCollection 2019.
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.
接触有毒化疗药物后毛囊受损会导致大量脱发,通常称为化疗引起的脱发(CIA)。预防性治疗仍然有限;然而,头皮冷却技术应用方面的最新进展已证明在预防或减少某些患者脱发方面取得了成功。需要进一步提高头皮冷却效果和/或开发预防化疗引起脱发的新疗法。为实现这一目标,化疗后对有或没有头皮冷却情况下毛囊损伤标志物的评估将提供宝贵的机制和预后信息。目前,此类数据极其有限。本文描述了生物标志物组合在评估药物性脱发及现有或新疗法的保护潜力方面的潜在用途。通过生物标志物分析更深入地了解抗CIA疗法的确切机制将加强此类疗法的理论依据、应用和开发。