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1.
Clin Exp Dermatol ; 47(5): 882-888, 2022 May.
Article in English | MEDLINE | ID: mdl-34855996

ABSTRACT

BACKGROUND: Ulceration is a recognized risk factor for surgical site infection (SSI); however, the proportion of patients developing SSI after excision of an ulcerated skin cancer is unknown. AIM: To determine the proportion of participants with SSI after surgical excision of an ulcerated skin cancer. A secondary aim was to assess feasibility outcomes to inform the design of a randomized controlled trial to investigate the benefits and harms of perioperative antibiotics following excision of ulcerated tumours. METHODS: This was a multicentre, prospective, observational study of patients undergoing excision of an ulcerated skin cancer between March 2019 and March 2020. Prior to surgical excision, surface swabs of the ulcerated tumours of participants recruited from one centre were undertaken to determine organism growth. At 4 weeks after surgery, all participants were e-mailed or posted the Wound Healing Questionnaire (WHQ) to determine whether they had developed SSI. RESULTS: In total, 148 participants were recruited 105 (70.9%) males; mean ± SD age 77.1 ± 12.3 years. Primary outcome data were available for 116 (78.4%) participants, of whom 35 (30.2%) were identified as having an SSI using the WHQ with a cutoff score of 8, and 47 (40.5%) were identified with a cutoff score of 6. Using the modified WHQ in participants with wounds left to heal by secondary intention, 33 (28.4%) and 43 (37.1%) were identified to have SSI respectively. CONCLUSION: This prospective evaluation of SSI identified with the WHQ following excision of ulcerated skin cancers demonstrated a high proportion with SSI. The WHQ was acceptable to patients; however, further evaluation is required to ensure validity in assessing skin wounds.


Subject(s)
Skin Neoplasms , Surgical Wound Infection , Aged , Aged, 80 and over , Anti-Bacterial Agents , Female , Humans , Male , Middle Aged , Skin Neoplasms/surgery , Surgical Wound Infection/epidemiology , Surgical Wound Infection/etiology , Wound Healing
3.
Clin Exp Dermatol ; 45(3): 309-317, 2020 Apr.
Article in English | MEDLINE | ID: mdl-31556145

ABSTRACT

BACKGROUND: Consistent with cancer stem cell driven pattern of growth, human basal cell carcinomas (BCCs) demonstrate differentiation along hair follicle (HF) lineages. AIM: To define the pattern of differentiation and therapeutic targets that promote BCC differentiation and therefore BCC cancer stem cell exhaustion. METHODS: An alkaline phosphatase substrate kit was used to determine dermal papilla cells within the BCC stroma. Autonomous HF cycle-dependent gene expression was identified by analysis of the human homologues of a murine gene set (total 2289 genes) that is differentially expressed in hair cycle phases. The findings were validated by quantitative real-time PCR and immunofluorescence, as well as in vitro transforming growth factor (TGF)-ß2 stimulation of BCC cancer stem cell colonies. RESULTS: As in the HF, keratin expression in the inner root sheath and matrix in BCC correlated with proliferative index and was tightly regulated, despite the absence of dermal papilla cells. Cross-species microarray analysis comparing human BCC and murine synchronous HF growth cycle datasets revealed 74% concordance with telogen differentiation compared with anagen (23%, P < 0.01) and catagen (49%; P < 0.01). Incomplete anagen differentiation within BCC was characterized by reduced expression of the anagen master regulator DLX3 (-5.5-fold), and increased expression of telogen-associated genes: AEBP1 (2.2-fold), DEFB8 (35.3-fold), MMP3 (106.0-fold) and MMP12 (12.9-fold). Restoration of dermal papilla signals by in vitro addition of TGF-ß2 enhanced anagen differentiation. CONCLUSION: Our findings show that BCC cells differentiate along HF lineages and may be susceptible to exogenous HF cycle modulators.


Subject(s)
Carcinoma, Basal Cell/pathology , Cell Differentiation/physiology , Hair Follicle/cytology , Skin Neoplasms/pathology , Animals , Carcinoma, Basal Cell/physiopathology , Cell Transformation, Neoplastic , Fluorescent Antibody Technique , Gene Expression , Hair Follicle/growth & development , Hair Follicle/metabolism , Humans , Keratins/metabolism , Mice , Oligonucleotide Array Sequence Analysis , Real-Time Polymerase Chain Reaction , Skin Neoplasms/physiopathology
4.
Clin Exp Dermatol ; 45(4): 417-425, 2020 Jun.
Article in English | MEDLINE | ID: mdl-31580512

ABSTRACT

BACKGROUND: Identification of human basal cell carcinoma (BCC) cancer stem cells and cellular hierarchy inherently implies the presence of differentiation. By conventional histological analysis, BCC demonstrates tumour nodules that appear relatively homogeneous. AIM: As BCCs arise from hair follicle (HF) keratinocytes, we sought to define the pattern of HF differentiation. METHODS: BCC, squamous cell carcinoma (SCC) and normal skin tissues were analysed using a microarray chip. The expression of individual keratins, regulatory pathways and proliferative states were analysed using reverse transcription-PCR and immunofluorescence microscopy. RESULTS: Microarray analysis of BCC, SCC and normal hair-bearing skin revealed that BCCs express a wide range of HF genes, including HF- specific keratins. BCC demonstrated outer (KRT5, KRT514, KRT516, KRT517 and KRT519) and inner (KRT25, KRT27, KRT28, KRT32, KRT35, KRT71, KRT75 and KRT85) root sheath differentiation, but not hair shaft differentiation. As in the HF, differentiation-specific keratins in BCC keratinocytes correlated with a reduced proliferative index and regulatory pathway activation despite the oncogenic drive towards tumour growth. Our findings show the close correlation between HF and BCC keratinocyte differentiation. CONCLUSION: This work has defined the differentiation pattern within BCCs, enabling development of targeted therapies that promote differentiation and result in BCC cancer stem cell exhaustion.


Subject(s)
Carcinoma, Basal Cell/metabolism , Hair Follicle/metabolism , Keratins, Hair-Specific/metabolism , Skin Neoplasms/metabolism , Carcinoma, Basal Cell/pathology , Cell Differentiation , Hair Follicle/cytology , Humans , Microarray Analysis , Reverse Transcriptase Polymerase Chain Reaction , Skin Neoplasms/pathology
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