Evidence map›Paper›PMID 26059437›Full record

SynthesisOncotarget2015

Meta-analysis of organ-specific differences in the structure of the immune infiltrate in major malignancies.

Gautier Stoll, Gabriela Bindea, Bernhard Mlecnik, Jérôme Galon, Laurence Zitvogel, Guido Kroemer

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  8. Review
  9. Review
  10. The immune contexture in cancer prognosis and treatment.Nature reviews. Clinical oncology · 2017
    Review
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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.

Gautier StollUniversité Paris Descartes, Sorbonne Paris Cité, Paris, France.
Gabriela BindeaUniversité Paris Descartes, Sorbonne Paris Cité, Paris, France.
Bernhard MlecnikUniversité Paris Descartes, Sorbonne Paris Cité, Paris, France.
Jérôme GalonUniversité Paris Descartes, Sorbonne Paris Cité, Paris, France.
Laurence ZitvogelMetabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, Villejuif, France.
Guido KroemerUniversité Paris Descartes, Sorbonne Paris Cité, Paris, France.
Université Paris Cité · FRInserm · FRSorbonne Paris Cité · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anticancer immunosurveillance is one of the major endogenous breaks of tumor progression. Here, we analyzed gene expression pattern indicative of the presence of distinct leukocyte subtypes within four cancer types (breast cancer, colorectal carcinoma, melanoma, and non-small cell lung cancer) and 20 different microarray datasets corresponding to a total of 3471 patients. Multiple metagenes reflecting the presence of such immune cell subtypes were highly reproducible across distinct cohorts. Nonetheless, there were sizable differences in the correlation patterns among such immune-relevant metagenes across distinct malignancies. The reproducibility of the correlations among immune-relevant metagenes was highest in breast cancer (followed by colorectal cancer, non-small cell lung cancer and melanoma), reflecting the fact that mammary carcinoma has an intrinsically better prognosis than the three other malignancies. Among breast cancer patients, we found that the expression of a lysosomal enzyme-related metagene centered around ASAH1 (which codes for N-acylsphingosine amidohydrolase-1, also called acid ceramidase) exhibited a higher correlation with multiple immune-relevant metagenes in patients that responded to neoadjuvant chemotherapy than in non-responders. Altogether, this meta-analysis revealed novel organ-specific features of the immune infiltrate in distinct cancer types, as well as a strategy for defining new prognostic biomarkers.

Indexed as

FemaleGene Expression ProfilingHumansLymphocytes, Tumor-InfiltratingNeoplasmsOligonucleotide Array Sequence Analysisbreast cancercolorectal carcinomamelanomameta-analysis of microarraysnon-small cell lung cancer

Identifiers

PMID26059437
PMCPMC4494912
OpenAlexW1907865033

What OpenQuestion holds

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LicenceCC BY
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.