Evidence map›Paper›PMID 27121213›Full record

ReviewInternational immunology2016

Rational bases for the use of the Immunoscore in routine clinical settings as a prognostic and predictive biomarker in cancer patients.

Amos Kirilovsky, Florence Marliot, Carine El Sissy, Nacilla Haicheur, Jérôme Galon, Franck Pagès

Open access · bronzeAbstract readReview
In one paragraph

Review in International immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 2 pooled it
11.0field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.

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44 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

6 authors at 4 institutions in 1 country.

Amos KirilovskyLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Florence MarliotLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Carine El SissyLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Nacilla HaicheurLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Jérôme GalonLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France.
Franck PagèsLaboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France franck.pages@aphp.fr.
Centre de Recherche des Cordeliers · FRInserm · FRSorbonne Université · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) tumor, nodes, metastasis (TNM) classification system based on tumor features is used for prognosis estimation and treatment recommendations in most cancers. However, the clinical outcome can vary significantly among patients within the same tumor stage and TNM classification does not predict response to therapy. Therefore, many efforts have been focused on the identification of new markers. Multiple tumor cell-based approaches have been proposed but very few have been translated into the clinic. The recent demonstration of the essential role of the immune system in tumor progression has allowed great advances in the understanding of this complex disease and in the design of novel therapies. The analysis of the immune infiltrate by imaging techniques in large patient cohorts highlighted the prognostic impact of the in situ immune cell infiltrate in tumors. Moreover, the characterization of the immune infiltrates (e.g. type, density, distribution within the tumor, phenotype, activation status) in patients treated with checkpoint-blockade strategies could provide information to predict the disease outcome. In colorectal cancer, we have developed a prognostic score ('Immunoscore') that takes into account the distribution of the density of both CD3(+) lymphocytes and CD8(+) cytotoxic T cells in the tumor core and the invasive margin that could outperform TNM staging. Currently, an international retrospective study is under way to validate the Immunoscore prognostic performance in patients with colon cancer. The use of Immunoscore in clinical practice could improve the patients' prognostic assessment and therapeutic management.

Indexed as

CD3 ComplexCD8 AntigensHumansLymphocyte ActivationLymphocytes, Tumor-InfiltratingMonitoring, ImmunologicNeoplasmsNeoplasm StagingPractice Guidelines as TopicPredictive Value of TestsPrognosisT-Lymphocytes, CytotoxicCD3 ComplexCD8 Antigenscolorectal cancerimmune responselymphocyteT cellstumor microenvironment

Identifiers

PMID27121213
PMCPMC4986234
OpenAlexW2342685632

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.