Evidence map›Paper›PMID 25333033›Full record

ReviewAnnals of translational medicine2014

microRNAs and cancer metabolism reprogramming: the paradigm of metformin.

Claudio Pulito, Sara Donzelli, Paola Muti, Luisa Puzzo, Sabrina Strano, Giovanni Blandino

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Monitoring Vitamin BNutrients · 2019
    Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. Metformin - a new approach.Pediatric endocrinology, diabetes, and metabolism · 2021
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Metformin and Breast Cancer: Molecular Targets.Journal of mammary gland biology and neoplasia · 2019
    Review
  14. Article
  15. Potential application of cell reprogramming techniques for cancer research.Cellular and molecular life sciences : CMLS · 2019
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Claudio Pulito1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.
Sara Donzelli1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.
Paola Muti1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.
Luisa Puzzo1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.
Sabrina Strano1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.
Giovanni Blandino1 Molecular Chemoprevention Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 2 Translational Oncogenomics Unit, Italian National Cancer Institute 'Regina Elena', Rome, Italy ; 3 Department of Oncology, Juravinski Cancer Center-McMaster University, Hamilton, Ontario, Canada ; 4 Department of Surgical Oncology, Ospedale SanVincenzo, Taormina (Me), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence witnesses that cancer metabolism alterations represent a critical hallmark for many types of human tumors. There is a strong need to understand and dissect the molecular mechanisms underlying cancer metabolism to envisage specific biomarkers and underpin critical molecular components that might represent novel therapeutic targets. One challenge, that is the focus of this review, is the reprogramming of the altered metabolism of a cancer cell toward that of un-transformed cell. The anti-hyperglicemic agent, metformin has proven to be effective in reprogramming the metabolism of cancer cells even from those subpopulations endowed with cancer stem like features and very high chemoresistenace to conventional anticancer treatments. A functional interplay involving selective modulation of microRNAs (miRNAs) takes place along the anticancer metabolic effects exerted by metformin. The implications of this interplay will be also discussed in this review.

Indexed as

cancerchemopreventionDiabetesmetabolismmicroRNA (miRNA)therapy

Identifiers

PMID25333033
PMCPMC4200659

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.