Evidence map›Paper›PMID 25801618›Full record

ReviewNature reviews. Cancer2015

Caveolae and signalling in cancer.

Ubaldo E Martinez-Outschoorn, Federica Sotgia, Michael P Lisanti

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed
13.1field-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

132 citing papers in PubMed, 203 citations in OpenAlex.

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  9. Clinicopathological Significance and Prognostic Value of the Caveolae Constitutive Proteins Dynamin-2 and Caveolin-1 in Oral Squamous Cell Carcinoma.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2025
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72 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

3 authors at 3 institutions in 2 countries.

Ubaldo E Martinez-OutschoornDepartment of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, USA.
Federica Sotgia1] Breakthrough Breast Cancer Research Unit, Institute of Cancer Sciences, University of Manchester, Manchester M20 4BX, UK. [2] Manchester Centre for Cellular Metabolism (MCCM), University of Manchester, Manchester M20 4BX, UK.
Michael P Lisanti1] Breakthrough Breast Cancer Research Unit, Institute of Cancer Sciences, University of Manchester, Manchester M20 4BX, UK. [2] Manchester Centre for Cellular Metabolism (MCCM), University of Manchester, Manchester M20 4BX, UK.
Cancer Research UK Manchester Institute · GBThomas Jefferson University · USUniversity of Manchester · GB

Funding

NCI NIH HHS K08 CA175193‑01A1
6 · The paper itself

Abstract

It has been over 20 years since the discovery that caveolar lipid rafts function as signalling organelles. Lipid rafts create plasma membrane heterogeneity, and caveolae are the most extensively studied subset of lipid rafts. A newly emerging paradigm is that changes in caveolae also generate tumour metabolic heterogeneity. Altered caveolae create a catabolic tumour microenvironment, which supports oxidative mitochondrial metabolism in cancer cells and which contributes to dismal survival rates for cancer patients. In this Review, we discuss the role of caveolae in tumour progression, with a special emphasis on their metabolic and cell signalling effects, and their capacity to transform the tumour microenvironment.

Indexed as

Signal TransductionAnimalsCaveolaeHumansMembrane MicrodomainsNeoplasms

Identifiers

PMID25801618
OpenAlexW2016559074

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.