ReviewFrontiers in cell and developmental biology2023
The mechanism and clinical application of DNA damage repair inhibitors combined with immune checkpoint inhibitors in the treatment of urologic cancer.
Review in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 9 citations in OpenAlex.
- Ataxia-Telangiectasia, DNA Repair Deficits, Immune Dysfunction, and Cancer: A Review of Mechanisms, Clinical Presentations, and Emerging Therapies.Clinical reviews in allergy & immunology · 2026Review
- Dysregulation of the DNA repair‑immune axis: Targeted therapeutic strategies for autoimmune diseases (Review).International journal of molecular medicine · 2026Review
- Article
- Oncolytic virus OH2 induces PD-L1 upregulation via NF-κB signaling and synergizes with anti-PD-L1 therapy in prostate cancer through a targeted extracellular vesicle delivery system.Journal for immunotherapy of cancer · 2026Article
- Next Generation DNA Damage Response Inhibitors: Harnessing Nanocarriers and Tumor Microenvironment for Precision Cancer Therapy.Oncology research · 2026Review
- Immunotherapy rechallenge in gastric cancer: resistance mechanisms, molecular stratification, and precision decision-making.Frontiers in immunology · 2026Review
- Utilization of natural products in diverse pathogeneses of diseases associated with single or double DNA strand damage repair.Chinese medicine · 2025Review
- A review of the carcinogenic potential of human papillomavirus (HPV) in urological cancers.Virology journal · 2025Review
- Androgen receptor, PARP signaling, and tumor microenvironment: the 'perfect triad' in prostate cancer?Therapeutic advances in medical oncology · 2024Review
- Toxicity in combined therapies for tumours treatments: a lesson from BAG3 in the TME?Frontiers in immunology · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urologic cancers such as kidney, bladder, prostate, and uroepithelial cancers have recently become a considerable global health burden, and the response to immunotherapy is limited due to immune escape and immune resistance. Therefore, it is crucial to find appropriate and effective combination therapies to improve the sensitivity of patients to immunotherapy. DNA damage repair inhibitors can enhance the immunogenicity of tumor cells by increasing tumor mutational burden and neoantigen expression, activating immune-related signaling pathways, regulating PD-L1 expression, and reversing the immunosuppressive tumor microenvironment to activate the immune system and enhance the efficacy of immunotherapy. Based on promising experimental results from preclinical studies, many clinical trials combining DNA damage repair inhibitors (e.g., PARP inhibitors and ATR inhibitors) with immune checkpoint inhibitors (e.g., PD-1/PD-L1 inhibitors) are underway in patients with urologic cancers. Results from several clinical trials have shown that the combination of DNA damage repair inhibitors with immune checkpoint inhibitors can improve objective rates, progression-free survival, and overall survival (OS) in patients with urologic tumors, especially in patients with defective DNA damage repair genes or a high mutational load. In this review, we present the results of preclinical and clinical trials of different DNA damage repair inhibitors in combination with immune checkpoint inhibitors in urologic cancers and summarize the potential mechanism of action of the combination therapy. Finally, we also discuss the challenges of dose toxicity, biomarker selection, drug tolerance, drug interactions in the treatment of urologic tumors with this combination therapy and look into the future direction of this combination therapy.
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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.