Evidence map›Paper›PMID 27515171›Full record

ArticleBMC cancer2016

AKT1 (E17K) mutation profiling in breast cancer: prevalence, concurrent oncogenic alterations, and blood-based detection.

Marion Rudolph, Tobias Anzeneder, Anke Schulz, Georg Beckmann, Annette T Byrne, Michael Jeffers, Carol Pena, Oliver Politz, Karl Köchert, Richardus Vonk and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Clinicogenomic Landscape and Function ofJCO precision oncology · 2026
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  5. Review
  6. Article
  7. Ipatasertib in Patients with Tumors with AKT Mutations: Results from the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol Z1K.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Precision diagnosis and treatment of PI3K/AKT/PTEN signaling pathway in HR-positive advanced breast cancer: perspectives from Chinese experts.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  15. Review
  16. Therapeutic advances of targeting receptor tyrosine kinases in cancer.Signal transduction and targeted therapy · 2024
    Review
  17. Public neoantigens in breast cancer immunotherapy (Review).International journal of molecular medicine · 2024
    Review
  18. Article
  19. Review
  20. 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

11 authors at 2 institutions in 4 countries.

Marion RudolphBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany. marion.rudolph@bayer.com.
Tobias AnzenederPatients' Tumor Bank of Hope (PATH), Augsburg, Germany.
Anke SchulzBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Georg BeckmannBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Annette T ByrneDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland.
Michael JeffersBayer HealthCare Pharmaceuticals, Whippany, NJ, USA.
Carol PenaBayer HealthCare Pharmaceuticals, Whippany, NJ, USA.
Oliver PolitzBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Karl KöchertBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Richardus VonkBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Joachim ReischlBayer Pharma AG, Muellerstrasse 178, 13353, Berlin, Germany.
Bayer (Germany) · DEBayer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe single hotspot mutation AKT1 [G49A:E17K] has been described in several cancers, with the highest incidence observed in breast cancer. However, its precise role in disease etiology remains unknown.

methodsWe analyzed more than 600 breast cancer tumor samples and circulating tumor DNA for AKT1 (E17K) and alterations in other cancer-associated genes using Beads, Emulsions, Amplification, and Magnetics digital polymerase chain reaction technology and targeted exome sequencing.

resultsOverall AKT1 (E17K) mutation prevalence was 6.3 % and not correlated with age or menopausal stage. AKT1 (E17K) mutation frequency tended to be lower in patients with grade 3 disease (1.9 %) compared with those with grade 1 (11.1 %) or grade 2 (6 %) disease. In two cohorts of patients with advanced metastatic disease, 98.0 % (n = 50) and 97.1 % (n = 35) concordance was obtained between tissue and blood samples for the AKT1 (E17K) mutation, and mutation capture rates of 66.7 % (2/3) and 85.7 % (6/7) in blood versus tissue samples were observed. Although AKT1-mutant tumor specimens were often found to harbor concurrent alterations in other driver genes, a subset of specimens harboring AKT1 (E17K) as the only known driver alteration was also identified. Initial follow-up survival data suggest that AKT1 (E17K) could be associated with increased mortality. These findings warrant additional long-term follow-up.

conclusionsThe data suggest that AKT1 (E17K) is the most likely disease driver in certain breast cancer patients. Blood-based mutation detection is achievable in advanced-stage disease. These findings underpin the need for a further enhanced-precision medicine paradigm in the treatment of breast cancer.

Indexed as

Mutation, MissenseBreast NeoplasmsCarcinogenesisCarcinoma, Ductal, BreastClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansKaplan-Meier EstimatePrevalenceProportional Hazards ModelsProto-Oncogene Proteins c-aktAKT1 protein, humanClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene Proteins c-aktAKT1 E17K mutationBlood-based mutation detectionBreast cancer

Identifiers

PMID27515171
PMCPMC4982009
OpenAlexW2507398653

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.