Evidence map›Paper›PMID 26843513›Full record

ArticleJournal of cellular and molecular medicine2016

Hypothesis: solid tumours behave as systemic metabolic dictators.

Yang-Ming Lee, Wei-Chun Chang, Wen-Lung Ma

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Yang-Ming LeeSex Hormone Research Center, Graduate Institution of Clinical Medical Science, China Medical University, Taichung, Taiwan.
Wei-Chun ChangSex Hormone Research Center, Department of Gynecology and Obstetric, China Medical University Hospital, Taichung, Taiwan.
Wen-Lung MaSex Hormone Research Center, Graduate Institution of Clinical Medical Science, China Medical University, Taichung, Taiwan.
China Medical University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current knowledge regarding mechanisms of carcinogenesis in human beings centres around the accumulation of genetic instability, amplified cellular signalling, disturbed cellular energy metabolism and microenvironmental regulation governed by complicated cell-cell interactions. In this article, we provide an alternative view of cancer biology. We propose that cancer behaves as a systemic dictator that interacts with tissues throughout the body to control their metabolism and eventually homeostasis. The mechanism of development of this endocrine organ-like tumour (EOLT) tissue might be the driving force for cancer progression. Here, we review the literature that led to the development of this hypothesis. The EOLT phenotype can be defined as a tumour that alters systemic homeostasis. The literature indicates that the EOLT phenotype is present throughout cancer progression. The feedback mechanism that governs the interaction between tumours and various organs is unknown. We believe that investigating the mechanism of EOLT development may advance the current knowledge of regulation within the tumour macroenvironment and consequently lead to new diagnostic methods and therapy.

Indexed as

Models, BiologicalAnimalsEnergy MetabolismGlucoseHomeostasisHumansMicrobiotaMitochondriaNeoplasmsTumor MicroenvironmentGlucosecancer cachexiacancer macroenvironmentendocrine organ-like tumourparaneoplastic syndrome

Identifiers

PMID26843513
PMCPMC4882994
OpenAlexW2397714110

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.