Evidence map›Paper›PMID 33120947›Full record

ArticleCancers2020

A Molecular Test for Quantifying Functional Notch Signaling Pathway Activity in Human Cancer.

Kirsten Canté-Barrett, Laurent Holtzer, Henk van Ooijen, Rico Hagelaar, Valentina Cordo', Wim Verhaegh, Anja van de Stolpe, Jules P P Meijerink

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  7. IncreasedInternational journal of molecular sciences · 2024
    Article
  8. Machine learning developed a CD8Scientific reports · 2024
    Article
  9. Article
  10. Study Deciphering the Crucial Involvement of Notch Signaling Pathway in Human Cancers.Endocrine, metabolic & immune disorders drug targets · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Insights into the Role of Oxidative Stress in Ovarian Cancer.Oxidative medicine and cellular longevity · 2021
    Review
  18. Article
  19. 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

8 authors at 2 institutions in 1 country.

Kirsten Canté-BarrettPrincess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.ORCID 0000-0003-0418-8445
Laurent HoltzerPhilips Molecular Pathway Dx, Royal Philips, 5656 AE Eindhoven, The Netherlands.
Henk van OoijenPhilips Research, Royal Philips, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0001-9607-7317
Rico HagelaarPrincess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.
Valentina Cordo'Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.ORCID 0000-0003-1373-513X
Wim VerhaeghPhilips Research, Royal Philips, 5656 AE Eindhoven, The Netherlands.ORCID 0000-0002-8088-9924
Anja van de StolpePhilips Molecular Pathway Dx, Royal Philips, 5656 AE Eindhoven, The Netherlands.
Jules P P MeijerinkPrincess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.ORCID 0000-0002-6860-798X
Philips (Netherlands) · NLPrincess Máxima Center · NL

Funding

KWF Kankerbestrijding KWF-10355Stichting Kinderen Kankervrij KiKa-219Stichting Kinderen Kankervrij Kika-295
6 · The paper itself

Abstract

backgroundThe Notch signal transduction pathway is pivotal for various physiological processes, including immune responses, and has been implicated in the pathogenesis of many diseases. The effectiveness of various targeted Notch pathway inhibitors may vary due to variabilities in Notch pathway activity among individual patients. The quantitative measurement of Notch pathway activity is therefore essential to identify patients who could benefit from targeted treatment.

methodsWe here describe a new assay that infers a quantitative Notch pathway activity score from the mRNA levels of generally conserved direct NOTCH target genes. Following the calibration and biological validation of our Notch pathway activity model over a wide spectrum of human cancer types, we assessed Notch pathway activity in a cohort of T-ALL patient samples and related it to biological and clinical parameters, including outcome.

resultsWe developed an assay using 18 select direct target genes and high-grade serous ovarian cancer for calibration. For validation, seven independent human datasets (mostly cancer series) were used to quantify Notch activity in agreement with expectations. For T-ALL, the median Notch pathway activity was highest for samples with strong NOTCH1-activating mutations, and T-ALL patients of the TLX subtype generally had the highest levels of Notch pathway activity. We observed a significant relationship between ICN1 levels and the absence/presence of NOTCH1-activating mutations with Notch pathway activity scores. Patients with the lowest Notch activity scores had the shortest event-free survival compared to other patients.

conclusionsHigh Notch pathway activity was not limited to T-ALL samples harboring strong NOTCH1 mutations, including juxtamembrane domain mutations or hetero-dimerization combined with PEST-domain or FBXW7 mutations, indicating that additional mechanisms may activate Notch signaling. The measured Notch pathway activity was related to intracellular NOTCH levels, indicating that the pathway activity score more accurately reflects Notch pathway activity than when it is predicted on the basis of NOTCH1 mutations. Importantly, patients with low Notch pathway activity had a significantly shorter event-free survival compared to patients showing higher activity.

Indexed as

NOTCH1 mutationNotch pathway activityT cell acute lymphoblastic leukemia

Identifiers

PMID33120947
PMCPMC7692325
OpenAlexW3097714250

What OpenQuestion holds

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LicenceCC BY
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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.