Evidence map›Paper›PMID 36210746›Full record

ReviewJournal of biosciences2022

Kritika Saxena, Ayalur Raghu Subbalakshmi, Prakash Kulkarni, Mohit Kumar Jolly

Abstract readReview
PubMed
In one paragraph

Review in Journal of biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Kritika SaxenaCentre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru 560 012, India.
Ayalur Raghu Subbalakshmi
Prakash Kulkarni
Mohit Kumar Jolly
Indian Institute of Science Bangalore · INCity Of Hope National Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite identical genetic constitution, a cancer cell population can exhibit phenotypic variations termed as nongenetic/ non-mutational heterogeneity. Such heterogeneity - a ubiquitous nature of biological systems - has been implicated in metastasis, therapy resistance and tumour relapse. Here, we review the evidence for existence, sources and implications of non-genetic heterogeneity in multiple cancer types. Stochasticity/noise in transcription, protein conformation and/or external microenvironment can underlie such heterogeneity. Moreover, the existence of multiple possible cell states (phenotypes) as a consequence of the emergent dynamics of gene regulatory networks may enable reversible cell-state transitions (phenotypic plasticity) that can facilitate adaptive drug resistance and higher metastatic fitness. Finally, we highlight how computational and mathematical models can drive a better understanding of non-genetic heterogeneity and how a systemslevel approach integrating mathematical modeling and in (

Indexed as

Models, BiologicalNeoplasmsClone CellsGene Regulatory NetworksHumansPhenotypeTumor Microenvironment

Identifiers

PMID36210746
OpenAlexW4226224711

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.