Evidence map›Paper›PMID 32630477›Full record

ReviewCells2020

A Review on Notch Signaling and Colorectal Cancer.

Ashish Tyagi, Arun K Sharma, Chendil Damodaran

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 185 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. From mono- to multi-cellularFrontiers in cell and developmental biology · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Ashish TyagiDepartment of Urology, University of Louisville, Louisville, KY 40202, USA.
Arun K SharmaDepartment of Pharmacology, Penn State Cancer Institute, Penn State College of Medicine, Hershey, PA 17033, USA.
Chendil DamodaranDepartment of Urology, University of Louisville, Louisville, KY 40202, USA.
University of Louisville · USPennsylvania State University · US

Funding

Chemoprevention of metastatic colorectal cancerR01CA185972 · NCI · UNIVERSITY OF LOUISVILLE · PI DAMODARAN, CHENDIL · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA185972
6 · The paper itself

Abstract

Colorectal cancer (CRC) has one of the highest mortality rates despite the advancement of treatment options. Aggressive CRC remains difficult to treat owing to the activation of oncogenic signaling pathways such as the Notch signaling pathway. The role of Notch receptors varies according to the difference in their structures; in particular, aberrant activation of Notch1 has been attributed to the severity of CRC. Notch1 activation in CRC is inhibited by small molecule inhibitors that target γ-secretase, an enzyme responsible for the third and last cleavage step of Notch receptors. γ-Secretase also produces the intracellular domain that finally carries out cellular functions by activating downstream effectors. However, most inhibitors block γ-secretase non-selectively and cause severe toxicity. Plant-source-derived small molecules, monoclonal antibodies, biological molecules (such as SiRNAs), and compounds targeting the Notch1 receptor itself or the downstream molecules such as

Indexed as

Colorectal NeoplasmsHumansMutationReceptors, NotchSignal TransductionReceptors, Notchcolorectal cancernegative regulatory regionnotch signaling

Identifiers

PMID32630477
PMCPMC7349609
OpenAlexW3037705365

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.