Evidence map›Paper›PMID 29164593›Full record

ReviewImmunology2018

Immune correlates of clinical outcome in melanoma.

Graham Pawelec

Open access · bronzeAbstract readReview
In one paragraph

Review in Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

1 author at 1 institution in 3 countries.

Graham PawelecSecond Department of Internal Medicine, University of Tuebingen Center for Medical Research (ZMF), Tuebingen, Germany.ORCID 0000-0002-3600-0163
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma has long been recognized as a potentially immunogenic tumour, but only recently has it become clear that the reason for this resides in its many ultraviolet (UV)-induced mutations and expression of multiple autoantigens which can be targeted by the immune system. The first successful applications of immune-based treatments included passive immunotherapy using high-dose interleukin (IL)-2 and/or adoptive transfer of natural killer (NK)-cells, as well as active immunotherapy using whole cell-derived or peptide vaccines. In the intervening decades, it has become clear that these approaches can lead to durable responses in stage III/IV melanoma, and even to functional cures - but only in a vanishingly small fraction of patients. With the advent of immune checkpoint blockade first with anti-cytotoxic T-lymphocyte 4 (CTLA-4), then with anti-programmed cell death 1 (PD-1) antibodies, and combinations thereof, the small percentage of responding patients may be increased to half, a major accomplishment in this refractory disease. Improved techniques for identifying mutation-derived neoantigens and thus more sophisticated active immunotherapies, probably combined with checkpoint blockade, currently hold great promise for further increasing the fraction of responding patients. As additional immunomodulatory antibodies and therapies become available, it will be increasingly important to develop diagnostic tools to determine which particular therapy is likely to elicit the best response for the individual patient. Practically speaking, therapy selection and efficacy monitoring on the basis of the results of a blood test would be most desirable. The purpose of this review is to consider the feasibility of identifying 'immune signatures' for predicting responses and determining mechanisms responsible for success or failure of these immunotherapies.

Indexed as

ImmunotherapyHumansInterleukin-2Killer Cells, NaturalMelanomaProgrammed Cell Death 1 ReceptorInterleukin-2Programmed Cell Death 1 Receptorcancercheckpoint blockadeimmunotherapymelanomatumour immunology

Identifiers

PMID29164593
PMCPMC5838413
OpenAlexW2768137129

What OpenQuestion holds

Textmetadata
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.