Evidence map›Paper›PMID 25001263›Full record

ArticleMolecular oncology2014

Genes associated with metabolic syndrome predict disease-free survival in stage II colorectal cancer patients. A novel link between metabolic dysregulation and colorectal cancer.

Teodoro Vargas, Juan Moreno-Rubio, Jesús Herranz, Paloma Cejas, Susana Molina, Margarita González-Vallinas, Ricardo Ramos, Emilio Burgos, Cristina Aguayo, Ana B Custodio and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Precision medicine and metabolic syndrome.ARYA atherosclerosis · 2022
    Review
  8. Article
  9. Metabolic syndrome is a predictor of all site and liver-specific recurrence following primary resection of colorectal cancer: Prospective cohort study of 1006 patients.European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Energy sensing pathways: Bridging type 2 diabetes and colorectal cancer?Journal of diabetes and its complications · 2017
    Review
  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

13 authors at 2 institutions in 1 country.

Teodoro VargasIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
Juan Moreno-RubioTranslational Oncology Laboratory, La Paz University Hospital (IdiPAZ), Madrid, Spain; Medical Oncology, Infanta Sofía University Hospital, Madrid, Spain.
Jesús HerranzIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
Paloma CejasTranslational Oncology Laboratory, La Paz University Hospital (IdiPAZ), Madrid, Spain.
Susana MolinaIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
Margarita González-VallinasIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
Ricardo RamosGenomic Service, Scientific Park of Madrid, Madrid, Spain.
Emilio BurgosPathology Department, La Paz University Hospital (IdiPAZ), Madrid, Spain.
Cristina AguayoMedical Oncology, La Paz University Hospital (IdiPAZ), Madrid, Spain.
Ana B CustodioMedical Oncology, La Paz University Hospital (IdiPAZ), Madrid, Spain.
Guillermo RegleroIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain; Food Research Institute (CIAL) CEI UAM+CSIC, Madrid, Spain.
Jaime FeliuMedical Oncology, La Paz University Hospital (IdiPAZ), Madrid, Spain.
Ana Ramírez de MolinaIMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain. Electronic address: aramirez@iib.uam.es.
Madrid Institute for Advanced Studies · ESHospital Universitario La Paz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have recently suggested that metabolic syndrome and its components increase the risk of colorectal cancer. Both diseases are increasing in most countries, and the genetic association between them has not been fully elucidated. The objective of this study was to assess the association between genetic risk factors of metabolic syndrome or related conditions (obesity, hyperlipidaemia, diabetes mellitus type 2) and clinical outcome in stage II colorectal cancer patients. Expression levels of several genes related to metabolic syndrome and associated alterations were analysed by real-time qPCR in two equivalent but independent sets of stage II colorectal cancer patients. Using logistic regression models and cross-validation analysis with all tumour samples, we developed a metabolic syndrome-related gene expression profile to predict clinical outcome in stage II colorectal cancer patients. The results showed that a gene expression profile constituted by genes previously related to metabolic syndrome was significantly associated with clinical outcome of stage II colorectal cancer patients. This metabolic profile was able to identify patients with a low risk and high risk of relapse. Its predictive value was validated using an independent set of stage II colorectal cancer patients. The identification of a set of genes related to metabolic syndrome that predict survival in intermediate-stage colorectal cancer patients allows delineation of a high-risk group that may benefit from adjuvant therapy and avoid the toxic and unnecessary chemotherapy in patients classified as low risk. Our results also confirm the linkage between metabolic disorder and colorectal cancer and suggest the potential for cancer prevention and/or treatment by targeting these genes.

Indexed as

AdultAgedAged, 80 and overApolipoproteinsColorectal NeoplasmsDisease-Free SurvivalFemaleHumansMaleMetabolic SyndromeMiddle AgedPrognosisApolipoproteinsApolipoproteinsColorectal cancerMetabolic syndromePrognostic biomarker

Identifiers

PMID25001263
PMCPMC5528602
OpenAlexW2151460236

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.