ReviewFrontiers in immunology2025
Recent progress in cadonilimab research for oncology applications.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy and safety of cadonilimab for malignant solid tumor treatment: a systematic review and meta-analysis.Frontiers in immunology · 2026Pooled it
- Cadonilimab plus chemotherapy in PD-L1-low gastroesophageal cancer: a bispecific opportunity?Journal of gastrointestinal oncology · 2026Article
- Immune Checkpoint Inhibitor Pneumonitis Complicated by Invasive Pulmonary Aspergillosis in COPD: Diagnostic and Therapeutic Challenges.Clinical case reports · 2026Article
- Bispecific Antibodies and Antibody-Drug Conjugates in Advanced Gastric Adenocarcinoma.Cancers · 2026Review
- A Case Report of Immune Checkpoint Inhibitor-Associated Pneumonia Complicated by Invasive Pulmonary Aspergillosis in a Patient With Chronic Obstructive Pulmonary Disease.Clinical case reports · 2026Article
- Cadonilimab in the treatment of advanced metastatic soft tissue clear cell sarcoma achieved complete remission: a case report.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cadonilimab is the first bispecific antibody independently developed in China that simultaneously targets Programmed Cell Death Protein-1 (PD-1) and Cytotoxic T Lymphocyte-Associated Antigen-4 (CTLA-4), marking a significant milestone in both clinical applications and drug development. Through its dual mechanism of action, cadonilimab blocks PD-1 and CTLA-4 signaling pathways concurrently, thereby activating T cells and enhancing antitumor immune responses. Within the tumor microenvironment, cadonilimab promotes effector T-cell infiltration while reducing nonspecific attacks on normal tissues, thus lowering the incidence of immune-related adverse events. In comparison to conventional monospecific antibodies, cadonilimab exhibits superior selectivity and safety. Multiple studies have shown that, either as monotherapy or in combination regimens, cadonilimab exhibits promising antitumor activity and tolerability in refractory solid tumors such as advanced cervical cancer, hepatocellular carcinoma, non-small cell lung cancer, and gastric cancer, with notable efficacy even in patients with low or negative PD-L1 expression. The successful development of cadonilimab not only underscores China's innovative capabilities in the field of cancer immunotherapy but also provides valuable insights for global drug development and clinical practice. However, most signals derive from phase I/II single-arm or small-sample studies with limited follow-up, and no randomized head-to-head trials have yet confirmed superiority over standard PD-1+CTLA-4 approaches. This review summarizes the mechanism of action, structural characteristics, clinical research progress, and future applications of cadonilimab, with the aim of offering a useful reference for research and clinical treatment while promoting its broader application in oncology.
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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.