Evidence map›Paper›PMID 26617477›Full record

ReviewCurrent colorectal cancer reports

Treatment Individualization in Colorectal Cancer.

Robin M J M van Geel, Jos H Beijnen, René Bernards, Jan H M Schellens

Abstract readReview
In one paragraph

Review in Current colorectal cancer reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Inflammatory genes are novel prognostic biomarkers for colorectal cancer.International journal of molecular medicine · 2018
    Article
  8. The oncologist · 2017
    Review
  9. Article
  10. Article
  11. Review
  12. 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

4 authors.

Robin M J M van GeelDepartment of Clinical Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jos H BeijnenDepartment of Clinical Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands ; Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands ; Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
René BernardsDivision of Molecular Carcinogenesis, Cancer Genomics Center Netherlands, Amsterdam, The Netherlands.
Jan H M SchellensDepartment of Clinical Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands ; Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer has been characterized as a genetically heterogeneous disease, with a large diversity in molecular pathogenesis resulting in differential responses to therapy. However, the currently available validated biomarkers KRAS, BRAF, and microsatellite instability do not sufficiently cover this extensive heterogeneity and are therefore not suitable to successfully guide personalized treatment. Recent studies have focused on novel targets and rationally designed combination strategies. Furthermore, a more comprehensive analysis of the underlying biology of the disease revealed distinct phenotypic differences within subgroups of patients harboring the same genetic driver mutation with both prognostic and predictive relevance. Accordingly, patient stratification based on molecular intrinsic subtypes rather than on single gene aberrations holds promise to improve the clinical outcome of patients with colorectal cancer.

Indexed as

BiomarkersBRAFColorectal cancerCombination therapyKRASMAPKMolecular subtypesTreatment individualization

Identifiers

PMID26617477
PMCPMC4653238

What OpenQuestion holds

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Registered trials

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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.