Evidence mapPaperPMID 41926670Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Immune Checkpoint Inhibitors and Immunomodulators for Cancer Immunotherapy: Insights Into Resistance and Therapeutic Strategies.

Fangquan Chen, Yang Yu, Xiutao Cai, Junhao Lin, Ruirui Liang, Rui Kang, Daolin Tang, Jiao Liu

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Clinical Outcomes of Immunosuppressant Drugs in Patients Treated with Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
    Pooled it
  2. Article
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

8 authors.

Fangquan ChenDAMP Laboratory, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yang YuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong, China.
Xiutao CaiDAMP Laboratory, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Junhao LinDAMP Laboratory, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Ruirui LiangDAMP Laboratory, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Rui KangDepartment of Surgery, UT Southwestern Medical Center, Dallas, Texas, USA.
Daolin TangDepartment of Surgery, UT Southwestern Medical Center, Dallas, Texas, USA.
Jiao LiuDAMP Laboratory, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-1708-0409

Funding

China Postdoctoral Science Foundation 2025M782596Guangzhou Health Science and Technology Young Talents Cultivation Program 20261A031076Guangzhou Municipal Science and Technology Bureau 2024A03J0895National Natural Science Foundation of China 32500653Postdoctoral Fellowship Program of China Postdoctoral Science Foundation GZC20251317
6 · The paper itself

Abstract

Cancer immunotherapy has redefined cancer treatment. However, the molecular and cellular basis of immune evasion and therapeutic resistance remains incompletely understood. Early immune checkpoint inhibitors have delivered significant clinical benefit, but their efficacy and durability remain limited in many patients. These limitations have driven the exploration of next-generation immune checkpoints and additional regulatory pathways that shape tumor-immune interactions. Recent advances have broadened the immune checkpoint landscape and revealed new targets. These targets operate within interconnected networks shaped by tumor-intrinsic alterations, microenvironmental cues, the microbiome, and neuroimmune crosstalk. The application of emerging technologies has enabled high-resolution dissection of immune-tumor dynamics, providing a technological foundation for improving clinical outcomes through precise patient stratification and intervention. Furthermore, distinct regulated cell deaths, including apoptosis, ferroptosis, pyroptosis, necroptosis, and alkaliptosis, are increasingly recognized as critical modulators of antitumor immunity. Harnessing these mechanisms offers a rational path toward designing targeted and controllable therapeutic strategies that enhance the efficacy and durability of cancer immunotherapy.

Indexed as

Immune Checkpoint InhibitorsImmunologic FactorsImmunotherapyNeoplasmsAnimalsHumansTumor MicroenvironmentImmune Checkpoint InhibitorsImmunologic Factorscancer immunotherapycell deathimmune checkpointimmune escape

Identifiers

PMID41926670
PMCPMC13137853

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.