Evidence map›Paper›PMID 30287915›Full record

ArticleBritish journal of cancer2018

Hierarchical clustering of activated proteins in the PI3K and MAPK pathways in ER-positive, HER2-negative breast cancer with potential therapeutic consequences.

Dinja T Kruger, Karin J Beelen, Mark Opdam, Joyce Sanders, Vincent van der Noort, Epie Boven, Sabine C Linn

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Hierarchical clustering of PI3K and MAPK pathway proteins in breast cancer intrinsic subtypes.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2020
    Article
  13. Reprogramming of fatty acid metabolism in cancer.British journal of cancer · 2020
    Review
  14. 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

7 authors at 2 institutions in 1 country.

Dinja T KrugerDepartment of Medical Oncology, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Karin J BeelenDivision of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Mark OpdamDivision of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Joyce SandersDepartment of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Vincent van der NoortDivision of Biometrics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Epie BovenDepartment of Medical Oncology, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Sabine C LinnDivision of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. s.linn@nki.nl.
The Netherlands Cancer Institute · NLAmsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe phosphatidylinositol-3-kinase (PI3K) and/or mitogen-activated protein kinase (MAPK) pathways are frequently activated in breast cancer which can result in antioestrogen resistance. Single protein markers failed to be introduced into clinical practice. We, therefore, aimed to find a better read-out of activation of the PI3K and MAPK pathways in ER+/HER2- breast cancer. Assessment of seven PI3K/MAPK proteins might better reflect pathway activation and distinguish patients without adjuvant tamoxifen benefit.

methodsTumour blocks were recollected from 293 primary postmenopausal ER+/HER2- breast cancer patients randomised between tamoxifen and no adjuvant therapy. PTEN, p-AKT(Thr308), p-AKT(Ser473), p-p70S6K, p-4EBP1, p-ERK1/2 and p-S6RP expression was assessed by immunohistochemistry followed by unsupervised hierarchical clustering. The primary endpoint was recurrence-free interval. Multivariate Cox models were used to assess tamoxifen benefit. A classification tool was developed based on protein expression profile.

resultsSubgroups were identified with preferentially activated (A) and preferentially not activated (N) proteins. Patients in group N derived significant benefit from tamoxifen (multivariate hazard ratio (HR) = 0.23, p = 0.000101), while patients from group A did not (multivariate HR = 1.37, p = 0.64), p for interaction 0.020. Our generated classification tool confirmed these results (p for interaction 0.024).

conclusionsHierarchical clustering of seven PI3K/MAPK proteins reflects pathway activation and can guide treatment decisions in primary ER+/HER2- postmenopausal breast cancer patients.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorBreast NeoplasmsCluster AnalysisErb-b2 Receptor Tyrosine KinasesFemaleHumansMAP Kinase Signaling SystemPhosphatidylinositol 3-KinasesPostmenopausePrecision MedicinePrognosisReceptors, EstrogenSurvival AnalysisBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPhosphatidylinositol 3-KinasesReceptors, Estrogen

Identifiers

PMID30287915
PMCPMC6189147
OpenAlexW2894658770

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.