Evidence map›Paper›PMID 32753728›Full record

ReviewNature reviews. Cancer2020

The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy.

Daniela Bruni, Helen K Angell, Jérôme Galon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,061 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,061citing papers in PubMed, 3 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

1,061 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Review
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  9. TP53 mutation-biased CD8British journal of cancer · 2026
    Article
  10. Review
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  12. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
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1,001 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.

Daniela Bruni *INSERM, Laboratory of Integrative Cancer Immunology; Équipe Labellisée Ligue Contre le Cancer; Sorbonne Université; Sorbonne Paris Cité; Université de Paris; Centre de Recherche des Cordeliers, Paris, France.ORCID http://orcid.org/0000-0003-2015-3891
Helen K Angell *Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, UK.ORCID http://orcid.org/0000-0001-9822-4755
Jérôme GalonINSERM, Laboratory of Integrative Cancer Immunology; Équipe Labellisée Ligue Contre le Cancer; Sorbonne Université; Sorbonne Paris Cité; Université de Paris; Centre de Recherche des Cordeliers, Paris, France. jerome.galon@crc.jussieu.fr.ORCID http://orcid.org/0000-0001-9635-1339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The international American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) tumour-node-metastasis (TNM) staging system provides the current guidelines for the classification of cancer. However, among patients within the same stage, the clinical outcome can be very different. More recently, a novel definition of cancer has emerged, implicating at all stages a complex and dynamic interaction between tumour cells and the immune system. This has enabled the definition of the immune contexture, representing the pre-existing immune parameters associated with patient survival. Even so, the role of distinct immune cell types in modulating cancer progression is increasingly emerging. An immune-based assay named the 'Immunoscore' was defined to quantify the in situ T cell infiltrate and was demonstrated to be superior to the AJCC/UICC TNM classification for patients with colorectal cancer. This Review provides a broad overview of the main immune parameters positively or negatively shaping cancer development, including the Immunoscore, and their prognostic and predictive value. The importance of the immune system in cancer control is demonstrated by the requirement for a pre-existing intratumour adaptive immune response for effective immunotherapies, such as checkpoint inhibitors. Finally, we discuss how the combination of multiple immune parameters, rather than individual ones, might increase prognostic and/or predictive power.

Indexed as

Severity of Illness IndexAntineoplastic Agents, ImmunologicalBiomarkers, TumorColorectal NeoplasmsDisease ProgressionHumansImmune Checkpoint InhibitorsImmune SystemImmunoassayNeoplasmsNeoplasm StagingPredictive Value of TestsPrognosisRisk AssessmentSurvival AnalysisTreatment OutcomeAntineoplastic Agents, ImmunologicalBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

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.