Evidence map›Paper›PMID 40866292›Full record

ReviewJournal for immunotherapy of cancer2025

Why has immune "checkpoint" therapy failed in most clinical trials?

Xuan Yang, Lieping Chen

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The Immune Checkpoint Inhibitors Journey: From Early Promise to Lasting Impact.Journal of immunotherapy and precision oncology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Tumor cell intrinsic mechanisms of immune escape.Cell communication and signaling : CCS · 2026
    Review
  8. Review
  9. 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

2 authors.

Xuan YangDepartment of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID http://orcid.org/0000-0002-7799-7705
Lieping ChenDepartment of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA lieping.chen@yale.edu.

Funding

Discovery of Novel Therapeutic Strategies for Cancer ImmunotherapyK00CA294168 · NCI · YALE UNIVERSITY · PI Xuan Yang · 2025 to 2026
$197k
Discovery of Novel Therapeutic Strategies for Cancer ImmunotherapyF99CA294168 · NCI · YALE UNIVERSITY · PI YANG, XUAN · 2024 to 2024
$50k
NCI NIH HHS F99 CA294168NCI NIH HHS K00 CA294168
6 · The paper itself

Abstract

Cancer immunotherapy targeting the PD-1/PD-L1 pathway has demonstrated efficacy across a range of common solid tumors and some hematopoietic malignancies. Despite these groundbreaking successes, the clinical development of other 'checkpoint inhibitors' targeting molecules like TIM-3, TIGIT, ICOS and others, has largely fallen short, often showing minimal clinical benefit even in combination with anti-PD therapy. This article explores three key hypotheses that help explain the disparity in therapeutic success: (1) the absence of tumor- specific immunosuppressive logic in many checkpoint targets, (2) the dominance-but not redundancy-of immune evasion mechanisms within the tumor microenvironment (TME), and (3) the emergence of therapy-induced resistance. This is not intended as a comprehensive review of the literature. Instead, it highlights select evidence to explain past failures and to illuminate a more strategic, biologically informed path forward.

Indexed as

Immune Checkpoint InhibitorsImmunotherapyNeoplasmsClinical Trials as TopicHumansTreatment FailureTumor MicroenvironmentImmune Checkpoint InhibitorsImmune modulatoryImmunosuppressionImmunotherapyTumor microenvironment - TME

Identifiers

PMID40866292
PMCPMC12410618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.