ReviewNaunyn-Schmiedeberg's archives of pharmacology2025
Chemoimmunotherapy synergism: mechanisms and clinical applications.
Review in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- Ferroptosis-induced immune modulation: a new frontier in glioblastoma therapy.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- A Minimal Model Framework for Robust CAR-T Cell and Oncolytic Virus Combination Therapy.Research square · 2026Article
- The advantages of NK cell vaccines in solid carcinoma clinical trials: conducted by various biology strategy and technology.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemoimmunotherapy, combining chemotherapy and immunotherapy, has emerged as a promising strategy for treating various cancers. This approach leverages the complementary mechanisms of both modalities to enhance tumor eradication. Recent advances have shed new light on the synergistic interactions between chemotherapy and immunotherapy, revealing complex mechanisms that contribute to improved clinical outcomes. Chemotherapy induces immunogenic cell death, releasing tumor antigens and damage-associated molecular patterns (DAMPs) that stimulate immune responses. It also modulates the tumor microenvironment, enhancing immune cell infiltration and reducing immunosuppressive elements. Concurrently, immunotherapy, particularly immune checkpoint inhibitors, activates the immune system to more effectively target and destroy cancer cells. Clinical evidence demonstrates significant benefits of chemoimmunotherapy in various cancers, including non-small-cell lung cancer, triple-negative breast cancer, and melanoma. Recent trials, such as KEYNOTE- 189 and IMpassion130, have shown improved overall survival and progression-free survival compared to chemotherapy alone. Emerging biomarkers, including tumor mutational burden, Programmed Death Ligand- 1 (PD-L1) expression, and immune cell infiltration patterns, are refining patient selection and response prediction. Novel strategies, such as nanoparticle-based drug delivery systems and personalized medicine approaches, are being explored to optimize chemoimmunotherapy combinations. However, challenges remain, including managing treatment-related toxicities, determining optimal dosing and sequencing, and addressing potential resistance mechanisms. Ongoing research focuses on elucidating the complex interplay between chemotherapy-induced immunomodulation and immune checkpoint inhibition to further improve treatment efficacy and patient outcomes. This review provides a comprehensive update on the mechanisms, clinical applications, and future directions of chemoimmunotherapy, highlighting its potential to revolutionize cancer treatment strategies. Clinical trial number: not applicable.
Indexed as
Identifiers
40220027What OpenQuestion holds
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.