ReviewFrontiers in immunology2023
Preclinical studies performed in appropriate models could help identify optimal timing of combined chemotherapy and immunotherapy.
Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Multiomics immune profiling of a patient-relevant orthotopic lung cancer model using SEPARATE-Seq.Nature communications · 2026Article
- Glycomic Insights in Gynecological Disease: From Molecular Mechanisms to Precision Diagnostics and Therapeutics.International journal of molecular sciences · 2026Review
- Immunoregulatory cyclophilin a improves low-dose chemotherapy with a modulation of the immune tumor microenvironment in experimental models of melanoma B16 and lymphoma EL4 in vivo.Cancer chemotherapy and pharmacology · 2024Article
- The neuroblastoma tumor microenvironment: From an in-depth characterization towards novel therapies.EJC paediatric oncology · 2024Article
- Article
- Temporal dynamics of mesenchymal stem cell administration influence immune modulation in a 4T1 breast cancer model.Cell transplantationArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint inhibitors (ICI) have been revolutionary in the field of cancer therapy. However, their success is limited to specific indications and cancer types. Recently, the combination treatment of ICI and chemotherapy has gained more attention to overcome this limitation. Unfortunately, many clinical trials testing these combinations have provided limited success. This can partly be attributed to an inadequate choice of preclinical models and the lack of scientific rationale to select the most effective immune-oncological combination. In this review, we have analyzed the existing preclinical evidence on this topic, which is only limitedly available. Furthermore, this preclinical data indicates that besides the selection of a specific drug and dose, also the sequence or order of the combination treatment influences the study outcome. Therefore, we conclude that the success of clinical combination trials could be enhanced by improving the preclinical set up, in order to identify the optimal treatment combination and schedule to enhance the anti-tumor immunity.
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