2018
DOI: 10.1016/j.jdermsci.2018.04.006
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Differential proteomic analysis of actinic keratosis, Bowen’s disease and cutaneous squamous cell carcinoma by label-free LC–MS/MS

Abstract: Our study supports the concept that AK and BD are precursors of cSCC. The identification of proteome changes indicates disruption of repair, pro-apoptotic, and tumor promoting pathways. Our findings will help select targets for classification and treatment.

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Cited by 28 publications
(44 citation statements)
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“…We identified promising biomarker candidates that discriminate between AK, BD, and cSCC samples. While analogous changes in several proteins (including SFN, TYMP, TPM3, PARK7, KRT16, NDRG1, and S100A2) were detected in our earlier proteomics study of these lesions (Azimi et al, 2018), the majority of the proteins identified here have not been reported in KSL research. Increased levels of VPS45, TIMM8B, DHPS, and NKTR, and decreased GCSH, distinguished AK from the BD and cSCC lesions.…”
Section: Proteome Profile Of Ksls Supports Their Histopathological CLsupporting
confidence: 50%
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“…We identified promising biomarker candidates that discriminate between AK, BD, and cSCC samples. While analogous changes in several proteins (including SFN, TYMP, TPM3, PARK7, KRT16, NDRG1, and S100A2) were detected in our earlier proteomics study of these lesions (Azimi et al, 2018), the majority of the proteins identified here have not been reported in KSL research. Increased levels of VPS45, TIMM8B, DHPS, and NKTR, and decreased GCSH, distinguished AK from the BD and cSCC lesions.…”
Section: Proteome Profile Of Ksls Supports Their Histopathological CLsupporting
confidence: 50%
“…In the present study, we employed a SWATH-MS data acquisition method to identify and quantify 3,574 proteins across 93 FFPE samples of KSL subtypes. Using this approach, we identified 72.4% more proteins in KSL samples compared with our previous IDA analyses of the same lesion types (Azimi et al, 2018) (Supplementary Figure S6). This is in line with an earlier study reporting a 77.8% improvement in proteome coverage using SWATH-MS data acquisition mode compared with IDA (Bertrand et al, 2017).…”
Section: Swath-ms Produces High-quality Proteomics Data From Ffpe Sammentioning
confidence: 76%
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