Evidence map›Paper›PMID 36359888›Full record

ReviewCells2022

Influence of Long Non-Coding RNA in the Regulation of Cancer Stem Cell Signaling Pathways.

Kevina Sonawala, Satish Ramalingam, Iyappan Sellamuthu

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. HOTAIR in colorectal cancer: structure, function, and therapeutic potential.Medical oncology (Northwood, London, England) · 2023
    Review
  6. Review
  7. Review
  8. 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.

Kevina SonawalaDepartment of Genetic Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603202, India.
Satish RamalingamDepartment of Genetic Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603202, India.
Iyappan SellamuthuDepartment of Genetic Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603202, India.
SRM Institute of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, cancer stem cells (CSCs) have emerged as an immensely studied and experimental topic, however a wide range of questions concerning the topic still remain unanswered; in particular, the mechanisms underlying the regulation of tumor stem cells and their characteristics. Understanding the cancer stem-cell signaling pathways may pave the way towards a better comprehension of these mechanisms. Signaling pathways such as WNT, STAT, Hedgehog, NOTCH, PI3K/AKT/mTOR, TGF-β, and NF-κB are responsible not only for modulating various features of CSCs but also their microenvironments. Recently, the prominent roles of various non-coding RNAs such as small non-coding RNAs (sncRNAs) and long non-coding RNAs (lncRNAs) in developing and enhancing the tumor phenotypes have been unfolded. This review attempts to shed light on understanding the influence of long non- coding RNAs in the modulation of various CSC-signaling pathways and its impact on the CSCs and tumor properties; highlighting the protagonistic and antagonistic roles of lncRNAs.

Indexed as

NeoplasmsRNA, Long NoncodingHumansNeoplastic Stem CellsPhosphatidylinositol 3-KinasesSignal TransductionTumor MicroenvironmentPhosphatidylinositol 3-KinasesRNA, Long Noncodingcancer stem cellsCSC signaling pathwayslncRNAsnon-coding RNAssignaling pathways

Identifiers

PMID36359888
PMCPMC9656902
OpenAlexW4308721056

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.