ArticleJournal of cancer research and clinical oncology2023
CSPG4 as a target for the specific killing of triple-negative breast cancer cells by a recombinant SNAP-tag-based antibody-auristatin F drug conjugate.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- The evolving landscape of enzymatic technologies for precision synthesis of antibody-drug conjugates.Antibody therapeutics · 2026Review
- An antibody-drug conjugate designed through clone and isotype selection restricts the growth of CSPG4-expressing triple-negative breast cancer.NPJ precision oncology · 2026Article
- Near-infrared photoimmunotherapy for effective elimination of ovarian cancer cells by inducing immunogenic cell death.Molecular therapy. Oncology · 2025Article
- Proteoglycans in Breast Cancer: Friends and Foes.Biomolecules · 2025Review
- The Therapeutic Potential of Photoimmunotherapy as a Safe, Effective and Non-Toxic Treatment Option for Superficial Triple Negative Breast Cancer.Cancer medicine · 2025Review
- SNAP-Tag-Based Recombinant Photoimmunotherapeutic Agents for the Selective Detection and Killing of Light-Accessible Melanotransferrin-Expressing Melanoma and Triple-Negative Breast Cancer.Cancer medicine · 2025Article
- Exploring New Frontiers: Alternative Breast Cancer Treatments Through Glycocalyx Research.The breast journal · 2025Review
- Targeting NG2 relieves the resistance of BRAF-mutant thyroid cancer cells to BRAF inhibitors.Cellular and molecular life sciences : CMLS · 2024Article
- Pseudogene CSPG4P12 inhibits colorectal cancer progression by attenuating epithelial-mesenchymal transition.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTriple-negative breast cancer (TNBC) is phenotypic of breast tumors lacking expression of the estrogen receptor (ER), the progesterone receptor (PgR), and the human epidermal growth factor receptor 2 (HER2). The paucity of well-defined molecular targets in TNBC, coupled with the increasing burden of breast cancer-related mortality, emphasizes the need to develop targeted diagnostics and therapeutics. While antibody-drug conjugates (ADCs) have emerged as revolutionary tools in the selective delivery of drugs to malignant cells, their widespread clinical use has been hampered by traditional strategies which often give rise to heterogeneous mixtures of ADC products.
methodsUtilizing SNAP-tag technology as a cutting-edge site-specific conjugation method, a chondroitin sulfate proteoglycan 4 (CSPG4)-targeting ADC was engineered, encompassing a single-chain antibody fragment (scFv) conjugated to auristatin F (AURIF) via a click chemistry strategy.
resultsAfter showcasing the self-labeling potential of the SNAP-tag component, surface binding and internalization of the fluorescently labeled product were demonstrated on CSPG4-positive TNBC cell lines through confocal microscopy and flow cytometry. The cell-killing ability of the novel AURIF-based recombinant ADC was illustrated by the induction of a 50% reduction in cell viability at nanomolar to micromolar concentrations on target cell lines.
conclusionThis research underscores the applicability of SNAP-tag in the unambiguous generation of homogeneous and pharmaceutically relevant immunoconjugates that could potentially be instrumental in the management of a daunting disease like TNBC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.