Evidence map›Paper›PMID 24487788›Full record

ReviewVirchows Archiv : an international journal of pathology2014

Biomarkers for gastric cancer: prognostic, predictive or targets of therapy?

Cecília Durães, Gabriela M Almeida, Raquel Seruca, Carla Oliveira, Fátima Carneiro

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

35 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

5 authors.

Cecília DurãesInstitute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal.
Gabriela M Almeida
Raquel Seruca
Carla Oliveira
Fátima Carneiro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is an aggressive disease often diagnosed at an advanced stage. Despite improvements in surgical and adjuvant treatment approaches, gastric cancer remains a global public health problem with a 5-year overall survival of less than 25 %. This is a heterogeneous disease, both in terms of biology and genetics, and many prognostic biomarkers have been pointed out in the literature; nevertheless, their application remains debatable. In this review, we opted to give relevance to those biomarkers that have been the subject of studies with significant statistical power, which have been replicated and have been/are in targeted therapy clinical trials and, which as a consequence, have their prognostic and/or predictive value established. Some gastric cancer biomarkers that may help in defining the course of treatment are also discussed. Accepted practical guidelines, wet-lab protocols for the detection of these biomarkers, as well as ongoing and completed clinical trials have been compiled. In summary, clinical approaches based on the combination of correct staging with targeted and conventional systemic therapies may improve gastric cancer patients' outcome, but are only in their infancy. Some major challenges in identifying reliable prognostic/predictive biomarkers are individual genetic variation and tumour heterogeneity that often influence response to therapy and drug resistance. Prognostic and predictive biomarkers may nevertheless be extremely valuable to correctly stratify gastric cancer patients for treatment and, ultimately, improve survival.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorHumansPredictive Value of TestsPrognosisSignal TransductionStomach NeoplasmsBiomarkers, Tumor

Identifiers

PMID24487788

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.