Evidence map›Paper›PMID 35078922›Full record

ReviewJournal for immunotherapy of cancer2022

Defining unique clinical hallmarks for immune checkpoint inhibitor-based therapies.

Olivier Michielin, Aly-Khan Lalani, Caroline Robert, Padmanee Sharma, Solange Peters

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
6.2field-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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Neoadjuvant Nivolumab Plus Ipilimumab Versus Chemotherapy in Resectable Lung Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Review
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  16. Review
  17. Article
  18. Effect of immune checkpoint inhibitors at different treatment time periods on prognosis of patients with extensive-stage small-cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 4 countries.

Olivier MichielinDepartment of Oncology, Lausanne University Hospital, Lausanne, Switzerland Olivier.Michielin@chuv.ch.
Aly-Khan LalaniDepartment of Oncology, Juravinski Cancer Centre, McMaster University, Hamilton, Ontario, Canada.
Caroline RobertDepartment of Medicine, Gustave Roussy Cancer Campus, Villejuif, France.
Padmanee SharmaDepartments of Genitourinary Medical Oncology and Immunology, UT MD Anderson Cancer Center, Houston, Texas, USA.
Solange PetersDepartment of Oncology, Lausanne University Hospital, Lausanne, Switzerland.
University of Lausanne · CHInstitut Gustave Roussy · FRMcMaster University · CAThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionImmuno-oncology therapies, including immune checkpoint inhibitors (ICIs), have transformed cancer care and have brought into question whether classic oncology efficacy assessments adequately describe the distinctive responses observed with these agents. With more ICI-based therapies being approved across multiple tumor types, it is essential to define unique clinical hallmarks of these agents and their associated assessments to better reflect the therapeutic impact for both patients and physicians. Long-term survival and objective responses, such as depth and durability of responses, treatment-free survival, efficacy in brain metastases, improved health-related quality of life, and unique safety profiles, are among the hallmarks that have emerged for ICI therapies. An established clinical hallmark is a sustained long-term survival, as evidenced by a delayed separation of Kaplan-Meier survival curves, and a plateau at ~3 years. Combination ICI therapies provide the opportunity to raise this plateau, thereby affording durable survival benefits to more patients. Deepening of responses over time is a unique clinical ICI hallmark, with patients responding long term and with more durable complete responses. Depth of response has demonstrated prognostic value for long-term survival in some cancers, and several ICI studies have shown sustained responses even after discontinuing ICI therapy, offering the potential for treatment-free intervals. Although clinical evidence supporting efficacy in brain metastases is limited, favorable ICI intracranial responses have been seen that are largely concordant with extracranial responses. While patient outcomes can be significantly improved with ICIs, they are associated with unique immune-mediated adverse reactions (IMARs), including delayed ICI toxicities, and may require multidisciplinary management for optimal care. Interestingly, patients discontinuing ICIs for IMARs may maintain responses similar to patients who did not discontinue for an IMAR, whether they restarted ICI therapy or not.ConclusionHerein, we comprehensively review and refine the clinical hallmarks uniquely associated with ICI therapies, which not only will rejuvenate our assessment of ICI therapeutic outcomes but also will lead to a greater appreciation of the effectiveness of ICI therapies.

Indexed as

Brain NeoplasmsHumansImmune Checkpoint InhibitorsIpilimumabNeoplasmsQuality of LifeImmune Checkpoint InhibitorsIpilimumabcombinationCTLA-4 antigendrug therapyimmunotherapyprogrammed cell death 1 receptorreview

Identifiers

PMID35078922
PMCPMC8796265
OpenAlexW4206944818

What OpenQuestion holds

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LicenceCC BY-NC
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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.