Evidence map›Paper›PMID 42162306›Full record

ReviewCellular & molecular immunology2026

Adaptive resistance in cancer immunotherapy.

Ke Yang, Chunqian Yang, Kai Xiong, Jiangtao Hao, Lilin Ye

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ke Yang *Institute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China. key@cqmu.edu.cn.
Chunqian Yang *Institute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China.
Kai Xiong *Institute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China.
Jiangtao HaoInstitute of Immunological Innovation and Translation, Chongqing Medical University, Chongqing, China.
Lilin YeInstitute of Immunology, Third Military Medical University, Chongqing, China. yelilinlcmv@tmmu.edu.cn.ORCID 0000-0003-0778-3311

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31825011National Natural Science Foundation of China (National Science Foundation of China) 32171104
6 · The paper itself

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

Drug Resistance, NeoplasmImmunotherapyNeoplasmsAnimalsHumansImmunoediting, CancerImmunologic MemoryT-Cell ExhaustionT-LymphocytesTumor EscapeTumor MicroenvironmentAdaptive resistanceAntitumor immunological memoryCancer immunotherapyT-cell exhaustion

Identifiers

PMID42162306
PMCPMC13316149

What OpenQuestion holds

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Registered trials

None linked

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.