Evidence map›Paper›PMID 30259383›Full record

ReviewAmerican journal of clinical dermatology2019

Mechanisms of Resistance to Immune Checkpoint Blockade.

David Liu, Russell W Jenkins, Ryan J Sullivan

Open access · greenAbstract readReview
In one paragraph

Review in American journal of clinical dermatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
4.8field-weighted citation impact, top 3% of its field
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

83 citing papers in PubMed, 130 citations in OpenAlex.

  1. Article
  2. Review
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  9. Article
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  11. Article
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  14. Review
  15. Article
  16. Overcoming Resistance Mechanisms to Melanoma Immunotherapy.American journal of clinical dermatology · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Review

23 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

David LiuDivision of Medical Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, 55 Fruit Street, Yawkey 7E, Boston, MA, 02114, USA.
Russell W JenkinsDivision of Medical Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, 55 Fruit Street, Yawkey 7E, Boston, MA, 02114, USA.
Ryan J SullivanDivision of Medical Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, 55 Fruit Street, Yawkey 7E, Boston, MA, 02114, USA. RSULLIVAN7@mgh.harvard.edu.
Massachusetts General Hospital · USDana-Farber Cancer Institute · US

Funding

Project 2U54CA224068 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CORCORAN, RYAN BRUCE, FLAHERTY, KEITH T · 2017 to 2021
$6.3M
National Cancer Institute U54 CA224086NCI NIH HHS U54 CA224068
6 · The paper itself

Abstract

The recent development of effective immune checkpoint inhibition (ICI), first demonstrated in melanoma, has revolutionized cancer treatment. Monoclonal antibodies blocking the immune checkpoints cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) and programmed death 1 receptor (PD-1) have shown substantial clinical benefit in a subset of patients across tumor types and in both the metastatic and adjuvant settings. In this article, we review the interaction between the immune system and solid tumors, and describe modes of immune response failure and the physiologic role of immune checkpoints. We also review the known mechanisms of immune checkpoint inhibitors, focusing on US FDA-approved agents targeting CTLA-4 and PD-1. Within this framework, we classify hypothesized tumor intrinsic and extrinsic predictive markers for response and resistance to ICI, and map them to their putative underlying biological mechanism. Finally, we outline future directions in ICI, including the development of new therapeutic targets, rational combination therapies, integrated predictive models for individual patients to optimize therapy, and expansion into different disease types.

Indexed as

Antineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCTLA-4 AntigenDrug Resistance, NeoplasmHumansImmunotherapyMelanomaMutationProgrammed Cell Death 1 ReceptorSkin NeoplasmsTreatment OutcomeTumor EscapeAntineoplastic Agents, ImmunologicalBiomarkers, TumorCTLA-4 AntigenCTLA4 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID30259383
PMCPMC6358473
OpenAlexW2893073939

What OpenQuestion holds

Textmetadata
LicenceTDM
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.