Evidence map›Paper›PMID 31853454›Full record

ReviewStem cell investigation2019

Cancer stem cells and nanotechnological approaches for eradication.

Gholam Basati, Mojtaba Khaksarian, Saber Abbaszadeh, Hamed Esmaeil Lashgarian, Abdolrazagh Marzban

Open access · diamondAbstract readReview
In one paragraph

Review in Stem cell investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. 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

5 authors at 2 institutions in 1 country.

Gholam BasatiClinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Mojtaba KhaksarianRazi Herbal Medicine Research Center & Department of Physiology, Lorestan University of Medical Sciences, Khorramabad, Iran.
Saber AbbaszadehStudent Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran.
Hamed Esmaeil LashgarianDepartment of Biotechnology, School of Medicine, Hepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Abdolrazagh MarzbanRazi Herbal Medicines Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Lorestan University of Medical Sciences · IRMedical University of Ilam · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are currently known as the main cause of tumor recurrence. After chemotherapy is completed, CSCs proliferate and then differentiate to generate new tumor tissues. Similar to normal stem cells, this non-uniformly distributed cell population in the tumor tissue has self-renewal capacity and is responsible for survival of the tumor and difference in its genetic and metabolic characteristics. Followed by gene instability in CSCs, new phenotypic markers are aberrantly expressed in CSCs subpopulation. Hence, some of the surface markers and metabolic pathways that are upregulated in CSCs may be applied as specific targets for development of diagnostic and therapeutic approaches. In this review article, the distinctive properties of CSCs including signal pathways implicated in self-renewal and surface markers were discussed. Moreover, targeting CSCs based on their specific properties using nanodrugs was reviewed.

Indexed as

Cancer stem cells (CSCs)nano-formulationsself-renewalsurface markers

Identifiers

PMID31853454
PMCPMC6917554
OpenAlexW2990812208

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.