Evidence map›Paper›PMID 21249426›Full record

ReviewCancer metastasis reviews2011

Tumor immunosurveillance in human cancers.

Bernhard Mlecnik, Gabriela Bindea, Franck Pagès, Jérôme Galon

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 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

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  12. Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  13. Article
  14. Pathological and Molecular Diagnosis of Uveal Melanoma.Diagnostics (Basel, Switzerland) · 2024
    Review
  15. Article
  16. Article
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  18. Iron metabolism in colorectal cancer: a balancing act.Cellular oncology (Dordrecht, Netherlands) · 2023
    Review
  19. Article
  20. Article

39 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

4 authors.

Bernhard MlecnikINSERM U872, Integrative Cancer Immunology Team, 15 rue de l'Ecole de Médecine, Paris 75006, France.
Gabriela Bindea
Franck Pagès
Jérôme Galon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until now, the anatomic extent of tumor (TNM classification) has been by far the most important factor to predict the prognosis of colorectal cancer patients. However, in recent years, data collected from large cohorts of human cancers demonstrated that the immune contexture of the primary tumors is an essential prognostic factor for patients' disease-free and overall survival. Tumoral and immunological markers predicted by systems biology methods are involved in the shaping of an efficient immune reaction and can serve as targets for novel therapeutic approaches. Global analysis of tumor microenvironment showed that the nature, the functional orientation, the density, and the location of adaptive immune cells within distinct tumor regions influence the risk of relapse events. The density and the immune cell location within the tumor have a prognostic value that is superior to the TNM classification, and tumor invasion is statistically dependent on the host-immune reaction. Thus, the strength of the immune reaction could advance our understanding of cancer evolution and have important consequences in clinical practice.

Indexed as

Immunologic SurveillanceHumansImmune SystemImmunologic MemoryLymphocytes, Tumor-InfiltratingNeoplasmsPrognosisT-LymphocytesTumor Microenvironment

Identifiers

PMID21249426
PMCPMC3044219

What OpenQuestion holds

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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.