Evidence map›Paper›PMID 35624227›Full record

ReviewCancer metastasis reviews2022

Notch signaling in malignant gliomas: supporting tumor growth and the vascular environment.

Franciele C Kipper, Mark W Kieran, Ajith Thomas, Dipak Panigrahy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer metastasis reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. [ORY-1001 inhibits glioblastoma cell growth by downregulating the Notch/HES1 pathwayNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

4 authors.

Franciele C KipperDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA. fkipper@bidmc.harvard.edu.
Mark W KieranDay One Biopharmaceutical, VP Clinical Development, South San Francisco, CA, USA.
Ajith ThomasCooper Medical School of Rowan University and Cooper University Hospital, Camden, NJ, USA.
Dipak PanigrahyDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is the most malignant form of glioma, which is the most commonly occurring tumor of the central nervous system. Notch signaling in glioblastoma is considered to be a marker of an undifferentiated tumor cell state, associated with tumor stem cells. Notch is also known for facilitating tumor dormancy escape, recurrence and progression after treatment. Studies in vitro suggest that reducing, removing or blocking the expression of this gene triggers tumor cell differentiation, which shifts the phenotype away from stemness status and consequently facilitates treatment. In contrast, in the vasculature, Notch appears to also function as an important receptor that defines mature non-leaking vessels, and increasing its expression promotes tumor normalization in models of cancer in vivo. Failures in clinical trials with Notch inhibitors are potentially related to their opposing effects on the tumor versus the tumor vasculature, which points to the need for a greater understanding of this signaling pathway.

Indexed as

Brain NeoplasmsGlioblastomaGliomaCell Line, TumorCell ProliferationHumansNeoplastic Stem CellsSignal TransductionAngiogenesisCancer stem cellGlioblastomaNotch pathway

Identifiers

What OpenQuestion holds

Textmetadata
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.