Evidence map›Paper›PMID 19381163›Full record

ReviewThe pharmacogenomics journal2009

Pharmacogenetics and biomarkers in colorectal cancer.

A S Strimpakos, K N Syrigos, M W Saif

Abstract readReview
PubMed Publisher
In one paragraph

Review in The pharmacogenomics journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Colon Cancer Pharmacogenetics: A Narrative Review.Pharmacy (Basel, Switzerland) · 2022
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

3 authors.

A S StrimpakosDepartment of Medicine, Royal Marsden Hospital, Sutton, UK. alexstrimp@yahoo.co.uk
K N Syrigos
M W Saif

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of patients with colorectal cancer (CRC) is affected by various factors at the time of diagnosis, including location of the tumor, gender, age and overall performance status of the patient. Predicting response and limiting drug-induced toxicity for patients with CRC are also critical. Interpatient differences in tumor response and drug toxicity are common during chemotherapy. Genomic variability of key metabolic enzyme complexes, drug targets and drug transport molecules are important contributing factors. At present, there is inconsistent and rather low use of pharmacogenetic testing in the clinical setting because of a lack of robust evidence or of resources. Patients' selection and tailored treatments by the introduction of genetic testing will hopefully allow better response prediction and limit drug-induced toxicity leading to improved patient outcomes in the most cost-effective way. Here, we review the main genetic alterations observed in familial and sporadic CRC and their associations with the metabolism, efficacy and toxicities of drugs used in this disease.

Indexed as

PharmacogeneticsBiomarkersColorectal NeoplasmsHumansBiomarkers

Identifiers

PMID19381163

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.