Evidence map›Paper›PMID 32130711›Full record

ReviewAdvances in experimental medicine and biology2020

Modulating the Metabolic Phenotype of Cancer Microenvironment.

Inês Matias, Sérgio Dias, Tânia Carvalho

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Inês MatiasInstituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal.
Sérgio DiasInstituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal.
Tânia CarvalhoInstituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal. taniacarvalho@medicina.ulisboa.pt.
University of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter provides a brief overview of the methods to study and modulate the metabolic phenotype of the tumor microenvironment, including own research work to demonstrate the impact that metabolic shifts in the host have on cancer. Firstly, we briefly discuss the relevance of using animal models to address this topic, and also the importance of acknowledging that animals have diverse metabolic phenotypes according to species, and even with strain, age or sex. We also present original data to highlight the impact that changes in metabolic phenotype of the microenvironment have on tumor progression. Using an acute leukemia mouse xenograft model and high-fat diet we show that a shift in the host metabolic phenotype, induced by high-fat feeding, significantly impacts on tumor progression. The mechanism through which this occurs involves a direct effect of the increased levels of circulating lipoproteins in both tumor and non-neoplastic cells.

Indexed as

Tumor MicroenvironmentAnimalsDiet, High-FatDisease Models, AnimalLeukemia, Myeloid, AcuteMicePhenotypeCancer microenvironmentCholesterol impact in cancer progressionMetabolic remodelingMurine models

Identifiers

PMID32130711
OpenAlexW3009585706

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.