Evidence map›Paper›PMID 30345255›Full record

ReviewFrontiers in oncology2018

Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology.

Francesca Finotello, Federica Eduati

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.9field-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

47 citing papers in PubMed, 77 citations in OpenAlex.

  1. Review
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  12. Isolation of Live Immune Cells from the Tumor Microenvironment by FACS.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Single-Cell Analysis in Immuno-Oncology.International journal of molecular sciences · 2023
    Review
  19. Review
  20. Review
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

2 authors at 2 institutions in 2 countries.

Francesca FinotelloBiocenter, Division for Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.
Federica EduatiDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Eindhoven University of Technology · NLInnsbruck Medical University · AT

Funding

Austrian Science Fund FWF T 974
6 · The paper itself

Abstract

The tumor microenvironment (TME) is a multifaceted ecosystem characterized by profound cellular heterogeneity, dynamicity, and complex intercellular cross-talk. The striking responses obtained with immune checkpoint blockers, i.e., antibodies targeting immune-cell regulators to boost antitumor immunity, have demonstrated the enormous potential of anticancer treatments that target TME components other than tumor cells. However, as checkpoint blockade is currently beneficial only to a limited fraction of patients, there is an urgent need to understand the mechanisms orchestrating the immune response in the TME to guide the rational design of more effective anticancer therapies. In this Mini Review, we give an overview of the methodologies that allow studying the heterogeneity of the TME from multi-omics data generated from bulk samples, single cells, or images of tumor-tissue slides. These include approaches for the characterization of the different cell phenotypes and for the reconstruction of their spatial organization and inter-cellular cross-talk. We discuss how this broader vision of the cellular heterogeneity and plasticity of tumors, which is emerging thanks to these methodologies, offers the opportunity to rationally design precision immuno-oncology treatments. These developments are fundamental to overcome the current limitations of targeted agents and checkpoint blockers and to bring long-term clinical benefits to a larger fraction of cancer patients.

Indexed as

bioinformaticsimmuno-oncologymulti-omics profilingnext-generation sequencingsystems biologysystems immunologytumor-infiltrating immune cellstumor microenvironment

Identifiers

PMID30345255
PMCPMC6182075
OpenAlexW2894847707

What OpenQuestion holds

Textmetadata
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.