Evidence map›Paper›PMID 29113461›Full record

ReviewCell transplantation2017

Regenerative Medicine: Shedding Light on the Link between Aging and Cancer.

Fabio Marongiu, Maria Paola Serra, Maura Fanti, Erika Cadoni, Monica Serra, Ezio Laconi

Open access · goldAbstract readReview
In one paragraph

Review in Cell transplantation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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 1 institution in 1 country.

Fabio Marongiu1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
Maria Paola Serra1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
Maura Fanti1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
Erika Cadoni1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
Monica Serra1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
Ezio Laconi1 Department of Biomedical Sciences, Unit of Experimental Medicine, University of Cagliari, Cagliari, Italy.
University of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence linking aging and cancer is overwhelming. Findings emerging from the field of regenerative medicine reinforce the notion that aging and cancer are profoundly interrelated in their pathogenetic pathways. We discuss evidence to indicate that age-associated alterations in the tissue microenvironment contribute to the emergence of a neoplastic-prone tissue landscape, which is able to support the selective growth of preneoplastic cell populations. Interestingly, tissue contexts that are able to select for the growth of preneoplastic cells, including the aged liver microenvironment, are also supportive for the clonal expansion of normal, homotypic, transplanted cells. This suggests that the growth of normal and preneoplastic cells is possibly driven by similar mechanisms, implying that strategies based on principles of regenerative medicine might be applicable to modulate neoplastic disease.

Indexed as

AnimalsCell Transformation, NeoplasticHepatocytesHumansNeoplasmsRegenerative Medicineagingcancerhepatocyte transplantationregenerative medicinetissue fitness

Identifiers

PMID29113461
PMCPMC5680953
OpenAlexW2602648374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.