ArticleBMC cancer2022
A nomogram combining clinical factors and biomarkers for predicting the recurrence of high-risk cutaneous squamous cell carcinoma.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- TRKB-based signature identifies high-risk squamous cell carcinoma cases and TRKB blockade reprograms tumor and stromal cells toward suppressive phenotypes.Journal of biomedical science · 2026Article
- High-frequency ultrasound combined with superb microvascular imaging for differential diagnosis of basal cell carcinoma and seborrheic keratosis: a retrospective analysis with nomogram implementation.Frontiers in medicine · 2026Article
- Article
- Immunohistochemical Expression Levels of Epidermal Growth Factor Receptor, Cyclooxygenase-2, and Ki-67 in Canine Cutaneous Squamous Cell Carcinomas.Current issues in molecular biology · 2024Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundAlthough determining the recurrence of cutaneous squamous cell carcinoma (cSCC) is important, currently suggested systems and single biomarkers have limited power for predicting recurrence.
objectiveIn this study, combinations of clinical factors and biomarkers were adapted into a nomogram to construct a powerful risk prediction model.
methodsThe study included 145 cSCC patients treated with Mohs micrographic surgery. Clinical factors were reviewed, and immunohistochemistry was performed using tumor tissue samples. A nomogram was constructed by combining meaningful clinical factors and protein markers.
resultsAmong the various factors, four clinical factors (tumor size, organ transplantation history, poor differentiation, and invasion into subcutaneous fat) and two biomarkers (Axin2 and p53) were selected and combined into a nomogram. The concordance index (C-index) of the nomogram for predicting recurrence was 0.809, which was higher than that for the American Joint Committee on Cancer (AJCC) 7th, AJCC 8th, Brigham and Women's Hospital, and Breuninger staging systems in the patient data set.
conclusionA nomogram model that included both clinical factors and biomarkers was much more powerful than previous systems for predicting cSCC recurrence.
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