Evidence map›Paper›PMID 21233242›Full record

ReviewJournal of the National Comprehensive Cancer Network : JNCCN2011

Personalized medicine and oncology practice guidelines: a case study of contemporary biomarkers in colorectal cancer.

Robin K Kelley, Stephanie L Van Bebber, Kathryn A Phillips, Alan P Venook

Abstract readReview
In one paragraph

Review in Journal of the National Comprehensive Cancer Network : JNCCN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  11. Article
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  13. Article
  14. Personalized medicine and cancer.Journal of personalized medicine · 2012
    Review
  15. Article
  16. Article
  17. 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 K KelleyDepartment of Medicine, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, USA. Katie.Kelley@ucsf.edu
Stephanie L Van Bebber
Kathryn A Phillips
Alan P Venook

Funding

UTILIZATION OF PERSONALIZED MEDICINE USING GENOMICSP01CA130818 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2008 to 2010
$5.1M
NCI NIH HHS P01 CA130818NCI NIH HHS P01CA130818
6 · The paper itself

Abstract

Predictive and prognostic biomarkers offer a potential means to personalize cancer medicine, although many reach the market-place before they have been validated, and their adoption is often hindered by variable clinical evidence. Because of this variability in supporting evidence, clinical practice guidelines formulated by panels of subspecialty experts may be particularly important in guiding stakeholders' acceptance and use of new personalized medicine biomarker tests and other nascent technologies. This article provides a structured review of the clinical evidence supporting 4 contemporary biomarker tests in colorectal cancer: K-ras and B-raf mutation analyses, mismatch repair protein testing, and the Oncotype DX Colon Cancer Assay. All 4 tests have been evaluated for guideline inclusion by the NCCN Guidelines Panel for Colon Cancer. This case study shows significant variability in the level of clinical evidence associated with these tests. In the cases of B-raf and mismatch repair protein testing, the available evidence is also inconsistent as it pertains to the specific NCCN Guideline recommendation. Based on this uncertainty in the evidence base, the authors conclude that expert clinical judgment, experience, and consensus may be more heavily weighted than published clinical trial data in the evaluation of new personalized medicine biomarker tests. Potential implications of this conclusion and future directions for research are discussed.

Indexed as

Biomarkers, TumorColorectal NeoplasmsHumansMedical OncologyPractice Guidelines as TopicPrecision MedicinePrognosisBiomarkers, Tumor

Identifiers

PMID21233242
PMCPMC3695822

What OpenQuestion holds

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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.