Evidence map›Paper›PMID 20147967›Full record

ArticleBritish journal of cancer2010

Activating K-Ras mutations outwith 'hotspot' codons in sporadic colorectal tumours - implications for personalised cancer medicine.

G Smith, R Bounds, H Wolf, R J C Steele, F A Carey, C R Wolf

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 4 pooled it
6.1field-weighted citation impact, top 3% of its field
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, 4 syntheses or guidelines pooled it, 178 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

G SmithBiomedical Research Institute, Ninewells Hospital and Medical School, Dundee, UK.
R Bounds
H Wolf
R J C Steele
F A Carey
C R Wolf
Ninewells Hospital · GBUniversity of Dundee · GB

Funding

Cancer Research UK C4639/A5661Medical Research Council
6 · The paper itself

Abstract

backgroundResponse to EGFR-targeted therapies in colorectal cancer patients has been convincingly associated with Kirsten-Ras (K-Ras) mutation status. Current mandatory mutation testing for patient selection is limited to the K-Ras 'hotspot' codons 12 and 13.

methodsColorectal tumours (n=106) were screened for additional K-Ras mutations, phenotypes compared in transformation and Ras GTPase activating assays and gene and pathway changes induced by individual K-Ras mutants identified by microarray analysis. Taqman-based gene copy number and FISH analyses were used to investigate K-Ras gene amplification.

resultsFour additional K-Ras mutations (Leu(19)Phe (1 out of 106 tumours), Lys(117)Asn (1 out of 106), Ala(146)Thr (7 out of 106) and Arg(164)Gln (1 out of 106)) were identified. Lys(117)Asn and Ala(146)Thr had phenotypes similar to the hotspot mutations, whereas Leu(19)Phe had an attenuated phenotype and the Arg(164)Gln mutation was phenotypically equivalent to wt K-Ras. We additionally identified a new K-Ras gene amplification event, present in approximately 2% of tumours.

conclusionsThe identification of mutations outwith previously described hotspot codons increases the K-Ras mutation burden in colorectal tumours by one-third. Future mutation screening to facilitate optimal patient selection for treatment with EGFR-targeted therapies should therefore be extended to codon 146, and in addition should consider the unique molecular signatures associated with individual K-Ras mutations.

Indexed as

Genes, rasMutationPrecision MedicineAgedAged, 80 and overAnimalsCodonColorectal NeoplasmsFemaleGene FrequencyHumansMaleMiceMiddle AgedModels, BiologicalNIH 3T3 CellsCodon

Identifiers

PMID20147967
PMCPMC2837563
OpenAlexW2058983261

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.