Evidence map›Paper›PMID 30691160›Full record

ReviewCancers2019

Calcium Signaling in Brain Cancers: Roles and Therapeutic Targeting.

Ahmed Maklad, Anjana Sharma, Iman Azimi

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Solid CaCOCurrent cancer drug targets · 2025
    Article
  7. Roles of TRPM channels in glioma.Cancer biology & therapy · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Active constituents of saffron (Experimental and therapeutic medicine · 2023
    Review
  14. Review
  15. Biomimetic three-dimensional glioma model printedInternational journal of bioprinting · 2023
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Ahmed MakladDivision of Pharmacy, College of Health and Medicine, University of Tasmania, Hobart, Tasmania 7001, Australia. aaettm@utas.edu.au.
Anjana SharmaDivision of Pharmacy, College of Health and Medicine, University of Tasmania, Hobart, Tasmania 7001, Australia. asharma2@utas.edu.au.
Iman AzimiDivision of Pharmacy, College of Health and Medicine, University of Tasmania, Hobart, Tasmania 7001, Australia. iman.azimi@utas.edu.au.
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calcium signaling, in addition to its numerous physiological roles, is also implicated in several pathological conditions including cancer. An increasing body of evidence suggest critical roles of calcium signaling in the promotion of different aspects of cancer, including cell proliferation, therapy resistance and metastatic-related processes. In many cases, this is associated with altered expression and/or activity of some calcium channels and pumps. Brain cancers have also been the subject of many of these studies. In addition to diverse roles of calcium signals in normal brain function, a number of proteins involved in calcium transport are implicated to have specific roles in some brain cancers including gliomas, medulloblastoma, neuroblastoma and meningioma. This review discusses research that has been conducted so far to understand diverse roles of Ca

Indexed as

brain cancerscalcium signalingtherapeutic targeting

Identifiers

PMID30691160
PMCPMC6406375
OpenAlexW2914843174

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.