Evidence map›Paper›PMID 28472036›Full record

ArticlePloS one2017

Accurate detection of low prevalence AKT1 E17K mutation in tissue or plasma from advanced cancer patients.

Elza C de Bruin, Jessica L Whiteley, Claire Corcoran, Pauline M Kirk, Jayne C Fox, Javier Armisen, Justin P O Lindemann, Gaia Schiavon, Helen J Ambrose, Alexander Kohlmann

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Capivasertib, an AKT Kinase Inhibitor, as Monotherapy or in Combination with Fulvestrant in Patients withClinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  6. Article
  7. Review
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

10 authors at 2 institutions in 1 country.

Elza C de BruinPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Jessica L WhiteleyPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Claire CorcoranPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Pauline M KirkPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Jayne C FoxPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Javier ArmisenHorizon Discovery Ltd, Cambridge, United Kingdom.
Justin P O LindemannEarly Clinical Development, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Gaia SchiavonTranslational Science, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Helen J AmbroseEarly Clinical Development, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
Alexander KohlmannPersonalised Healthcare and Biomarkers, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom.
AstraZeneca (United Kingdom) · GBHorizon Discovery Group (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized healthcare relies on accurate companion diagnostic assays that enable the most appropriate treatment decision for cancer patients. Extensive assay validation prior to use in a clinical setting is essential for providing a reliable test result. This poses a challenge for low prevalence mutations with limited availability of appropriate clinical samples harboring the mutation. To enable prospective screening for the low prevalence AKT1 E17K mutation, we have developed and validated a competitive allele-specific TaqMan® PCR (castPCR™) assay for mutation detection in formalin-fixed paraffin-embedded (FFPE) tumor tissue. Analysis parameters of the castPCR™ assay were established using an FFPE DNA reference standard and its analytical performance was assessed using 338 breast cancer and gynecological cancer FFPE samples. With recent technical advances for minimally invasive mutation detection in circulating tumor DNA (ctDNA), we subsequently also evaluated the OncoBEAM™ assay to enable plasma specimens as additional diagnostic opportunity for AKT1 E17K mutation testing. The analysis performance of the OncoBEAM™ test was evaluated using a novel AKT1 E17K ctDNA reference standard consisting of sheared genomic DNA spiked into human plasma. Both assays are employed at centralized testing laboratories operating according to quality standards for prospective identification of the AKT1 E17K mutation in ER+ breast cancer patients in the context of a clinical trial evaluating the AKT inhibitor AZD5363 in combination with endocrine (fulvestrant) therapy.

Indexed as

MutationHumansNeoplasmsParaffin EmbeddingPolymerase Chain ReactionProto-Oncogene Proteins c-aktReference StandardsReproducibility of ResultsAKT1 protein, humanProto-Oncogene Proteins c-akt

Identifiers

PMID28472036
PMCPMC5417426
OpenAlexW2610838714

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.