ArticleBiomarker insights2019
Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy.
Article in Biomarker insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05213936 (Scalp Cooling for Chemotherapy-Induced Alopecia in Patients of Color), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Scalp Cooling for Chemotherapy-Induced Alopecia in Patients of Color: A Clinical and Mechanistic Study
Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Scalp Cooling as a Biopsychosocial Intervention in Patients Receiving Highly Alopecia-Inducing Chemotherapy: Prospective Single-Arm Study.JMIR cancer · 2026Article
- Human hair as a diagnostic tool in medicine.Biochemistry and biophysics reports · 2025Review
- Alopecia in Children with Cancer: A Review from Pathophysiology to Management.American journal of clinical dermatology · 2025Review
- The inner nuclear membrane protein, Banf1, has an essential role in triple negative breast cancer cell proliferation and survival.Scientific reports · 2025Article
- Cancer-related alopecia and wig acquisition: how age, sex, and treatment affect patient choices.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Kopexil vs minoxidil:BioImpacts : BI · 2025Article
- Severe Unilateral Alopecia in a Long-Term Surviving Male Adolescent Glioblastoma Multiforme Patient.Clinical, cosmetic and investigational dermatology · 2025Article
- Prevention of chemotherapy drug-mediated human hair follicle damage: combined use of cooling with antioxidant suppresses oxidative stress and prevents matrix keratinocyte cytotoxicity.Frontiers in pharmacology · 2025Article
- Side effect prediction based on drug-induced gene expression profiles and random forest with iterative feature selection.The pharmacogenomics journal · 2021Article
- Norcycloartocarpin targets Akt and suppresses Akt-dependent survival and epithelial-mesenchymal transition in lung cancer cells.PloS one · 2021Article
- Survey of use of herbal and home remedies for hair and scalp among women in North West Saudi Arabia.Dermatology reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.