Evidence map›Paper›PMID 23454900›Full record

ReviewCancer discovery2013

Molecular dissection of microsatellite instable colorectal cancer.

Eduardo Vilar, Josep Tabernero

Abstract readReview
In one paragraph

Review in Cancer discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–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

65 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Systematic pan-cancer analysis identifiesAnnals of translational medicine · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Article

5 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

2 authors.

Eduardo VilarDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. EVilar@mdanderson.org
Josep Tabernero

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

unlabelledColorectal cancer was one of the first solid tumors to be classified on the basis of molecular profiling. Microsatellite instability has allowed researchers to distinguish a specific subtype of colorectal cancer that has a clearly identified molecular origin (mismatch repair deficiency), arises on a hereditary and sporadic basis, is linked to a clear clinicopathologic profile, and has prognostic implications. Inconclusive predictive data along with a paucity of targeted drug development have prevented this molecular classification system from being implemented in the clinical setting. New high-throughput genomic data have validated it, thus stressing the fact that it is ready to be applied clinically. SIGNIFICANCE: Application of a molecular classification of colorectal cancer in the clinical arena is an unmet promise. Recent results of large-scale genomic analyses have provided confirmation and further insights into the molecular biology of already known colorectal cancer subgroups. The quintessential example is the microsatellite instability subgroup, which has been well characterized during the past 2 decades. Future drug development and clinical research initiatives in colorectal oncology should consider these and other known cancer subgroups and start targeting these selected patient populations.

Indexed as

Microsatellite InstabilityAntineoplastic AgentsChromosomal InstabilityColorectal NeoplasmsHumansPrognosisAntineoplastic Agents

Identifiers

PMID23454900
PMCPMC3651752

What OpenQuestion holds

Textmetadata
LicenceTDM
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.