Evidence map›Paper›PMID 42627602›Full record

ReviewImmunologic research2026

Overcoming resistance to immune checkpoint inhibitors in cancer: translational mechanisms, dynamic biomarkers, clinically actionable combination strategies, and comparative checkpoint biology.

Rumeysa Berra Karataş, Yaren Alras, Sarenur Teki̇ner, Kaan Zıkşahna, Selim Merdan, Murat Ihlamur

Abstract readReview
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In one paragraph

Review in Immunologic research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Rumeysa Berra KarataşDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, Istanbul, Türkiye.ORCID http://orcid.org/0009-0000-3218-5212
Yaren AlrasDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, Istanbul, Türkiye.ORCID http://orcid.org/0009-0005-9920-5931
Sarenur Teki̇nerDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, Istanbul, Türkiye.ORCID http://orcid.org/0009-0005-7200-9658
Kaan ZıkşahnaDepartment of Basic Medical Sciences, Faculty of Medicine, Biruni University, Istanbul, Turkey.ORCID http://orcid.org/0009-0001-3478-9754
Selim MerdanÜmraniye Training and Research Hospital Flow Cytometry Laboratory, Istanbul, Türkiye.ORCID http://orcid.org/0009-0008-7036-1115
Murat IhlamurBiruni University Advanced Technology and Research Center (B@MER), Biruni University, Istanbul, Türkiye. mihlamur@biruni.edu.tr.ORCID http://orcid.org/0000-0002-0458-5638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have reshaped cancer therapy by restoring antitumor immune activity, yet primary and acquired resistance continue to limit durable clinical benefit. This review integrates the major tumor-intrinsic and tumor-extrinsic mechanisms that drive ICI resistance, including defective antigen presentation, impaired interferon signaling, oncogenic and epigenetic immune escape programs, metabolic rewiring, suppressive myeloid and stromal circuits, abnormal vasculature, and progressive T-cell dysfunction. We discuss these mechanisms in the context of the cancer-immunity cycle and tumor immunotypes, emphasizing how immune-desert, immune-excluded, inflamed-but-suppressed, and adaptive-resistance phenotypes may require different therapeutic strategies. Building on this framework, we evaluate clinically actionable combination approaches, including dual-checkpoint blockade, myeloid and stromal remodeling, radiotherapy or targeted agents to increase tumor antigenicity, DNA damage response-directed combinations, anti-angiogenic strategies, and interventions aimed at preserving or restoring T-cell fitness. Practical considerations for sequencing and patient selection are highlighted according to resistance phenotype, prior ICI exposure, disease tempo, biomarker status, and toxicity risk. We further outline a dynamic biomarker approach that moves beyond single baseline assays by integrating longitudinal tissue and blood-based readouts, including circulating tumor DNA, immune-cell states, soluble immune mediators, T-cell receptor dynamics, and reassessment at progression to guide adaptive therapy. Finally, selected non-oncologic and special clinical contexts, including chronic infections, solid organ transplantation, pre-existing autoimmune disease, and neuroinflammatory or neurodegenerative conditions, are discussed as comparative checkpoint-biology models rather than as separate therapeutic indications. These settings illustrate how chronic antigen exposure, immune exhaustion, tolerance disruption, and immune-related toxicity can inform the understanding of adaptive immune resistance in malignancy. Overall, this review provides a translational framework for matching ICI resistance biology with rational combination strategies and evolving biomarker-guided treatment decisions.

Indexed as

Drug Resistance, NeoplasmImmune Checkpoint InhibitorsNeoplasmsAnimalsBiomarkers, TumorHumansImmunotherapyT-Cell ExhaustionT-LymphocytesTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint Inhibitorscombination therapyImmune checkpoint inhibitorsimmunotherapy resistancepredictive biomarkersT-cell exhaustiontumor microenvironment

Identifiers

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Registered trials

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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.