Candidate biomarkers for specific intraoperative near?infrared imaging of soft tissue sarcomas: A systematic review

Z Rijs, AN Shifai, SE Bosma, PJ Kuppen, AL Vahrmeijer, Stijn Keereweer, JVMG Bovée, M A J van der Sande, CF Sier, Kishan Tsang

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Abstract

Surgery is the mainstay of treatment for localized soft tissue sarcomas (STS). The curative treatment highly depends on complete tumor resection, as positive margins are associated with local recurrence (LR) and prognosis. However, determining the tumor margin during surgery is challenging. Real‐time tumor‐specific imaging can facilitate complete resection by visualizing tumor tissue during surgery. Unfortunately, STS specific tracers are presently not clinically available. In this review, STS‐associated cell surface‐expressed biomarkers, which are currently already clinically targeted with monoclonal antibodies for therapeutic purposes, are evaluated for their use in near‐infrared fluorescence (NIRF) imaging of STS. Clinically targeted biomarkers in STS were extracted from clinical trial registers and a PubMed search was performed. Data on biomarker characteristics, sample size, percentage of biomarker‐positive STS samples, pattern of biomarker expression, biomarker internalization features, and previous applications of the biomarker in imaging were extracted. The biomarkers were ranked utilizing a previously described scoring system. Eleven cell surface‐expressed biomarkers were identified from which 7 were selected as potential biomarkers for NIRF imaging: TEM1, VEGFR‐1, EGFR, VEGFR‐2, IGF‐1R, PDGFRα, and CD40. Promising biomarkers in common and aggressive STS subtypes are TEM1 for myxofibrosarcoma, TEM1, and PDGFRα for undifferentiated soft tissue sarcoma and EGFR for synovial sarcoma.

Original languageEnglish
Article number557
Pages (from-to)1-29
Number of pages29
JournalCancers
Volume13
Issue number3
DOIs
Publication statusPublished - Feb 2021

Bibliographical note

Funding Information:
Funding: Please add: This research received no external funding. CS was in part funded by the European Commission under two Marie Skłodowska‐Curie Action awards: H2020‐MSCA‐RISE‐ 2019 (Project number: 872860‐PRISAR2) and H2020‐MSCA‐ITN‐2019 (Project number: 857894‐ CAST).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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  • EMC OR-01

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