C5aR1 Promotes Invasion, Metastasis, and Poor Prognosis in Cutaneous Squamous Cell Carcinoma.

IF 4.7 2区 医学 Q1 PATHOLOGY
Lauri Heiskanen, Liisa Nissinen, Elina Siljamäki, Jaakko S Knuutila, Teijo Pellinen, Markku Kallajoki, Jyrki Heino, Pilvi Riihilä, Veli-Matti Kähäri
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引用次数: 0

Abstract

Cutaneous squamous cell carcinoma (cSCC) is the most common metastatic skin cancer, and the metastatic from is associated with a poor prognosis. Here, the role of the complement C5a receptor C5aR1 was examined in the progression and metastasis of cSCC. C5aR1 expression was increased in cSCC cells in a three-dimensional spheroid coculture model in the presence of fibroblasts, and treatment with recombinant C5a enhanced the invasion of cSCC cells. Staining for C5aR1 was detected on the surface of tumor cells at the invasive edge of human cSCC xenografts in vivo. Staining of metastatic and non-metastatic primary human cSCCs, premalignant and benign epidermal lesions, and normal skin for C5aR1 with multiplex immunofluorescence and chromogenic immunohistochemistry revealed increased expression of C5aR1 on the surface of tumor cells and fibroblasts in invasive cSCCs and recessive dystrophic epidermolysis bullosa-associated cSCCs compared with cSCC in situ, actinic keratoses, seborrheic keratoses, and normal skin. Increased expression of C5aR1 on the tumor cell surface and in fibroblasts was associated with metastatic risk and poor disease-specific survival of patients with primary cSCC. These findings suggest a role of C5a in cSCC cell invasion, and they identify C5aR1 as a novel biomarker for metastasis risk and poor prognosis in patients with cSCC. The results also suggest that C5aR1 could be a novel therapeutic target for the treatment of locally advanced and metastatic cSCC.

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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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