ReviewCellular & molecular immunology2026
Adaptive resistance in cancer immunotherapy.
Review in Cellular & molecular immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Venom-Derived Enzyme Inhibitors as Anticancer Agents: Structure-Activity Relationships, Molecular Targets and Mechanistic Insights.Molecules (Basel, Switzerland) · 2026Review
- Disulfidptosis in hepatocellular carcinoma: molecular mechanisms, therapeutic potential, and exploratory insights into chronic liver diseases.Apoptosis : an international journal on programmed cell death · 2026Review
- Peripheral blood biomarkers in PD-1/PD-L1 immunotherapy: distinguishing predictive from prognostic biomarkers.Frontiers in immunology · 2026Review
- Phytochemical basis and antitumor mechanisms ofFrontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Despite revolutionizing oncology, cancer immunotherapy benefits only a minority of patients partly because of adaptive resistance. This resistance tends to manifest in two distinct clinical scenarios. The first is characterized by disease progression during treatment following an initial response, driven primarily by insufficient tumor-killing capacity. The second is characterized by relapse after initial remission, resulting from a failure to establish durable antitumor immune memory (AIM). Underlying both patterns is the progressive functional exhaustion of tumor-specific T cells, which reflects a dynamic equilibrium between immune attack and tumor evasion, a balance that is continuously challenged within an immunosuppressive tumor microenvironment (TME) sculpted by immunoediting. This review provides a comprehensive synthesis of current knowledge on adaptive resistance to cancer immunotherapy, with a particular emphasis on the mechanistic contributions of dysfunctional T-cell responses. We begin by outlining the frameworks of cancer immunoediting and AIM, detailing how exhausted T cells undermine sustained immunotherapeutic efficacy, and summarizing the achievements and limitations of current regimens. We then delineate how T-cell dysfunction, particularly within the TME and tumor-draining lymph nodes, culminates in adaptive resistance to immunotherapy, manifesting as either insufficient tumor-killing capacity leading to on-treatment progression or failure to establish durable AIM resulting in postremission relapse. A systematic analysis of the cellular and molecular drivers of this exhausted state follows, integrating established paradigms and highlighting key knowledge gaps. Finally, we critically evaluate emerging rejuvenation strategies, translational approaches for next-generation therapies, persistent challenges and promising directions for future research.
Indexed as
Identifiers
What 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.