Evidence map›Paper›PMID 35982229›Full record

ReviewNature reviews. Cancer2022

Mastering the use of cellular barcoding to explore cancer heterogeneity.

Antonin Serrano, Jean Berthelet, Shalin H Naik, Delphine Merino

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  7. Deciphering precursor cell dynamics in esophageal preneoplasia via genetic barcoding and single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  20. CORN 2.0 - Condition Orientated Regulatory Networks 2.0.Computational and structural biotechnology journal · 2025
    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 1 country.

Antonin SerranoOlivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.ORCID 0000-0002-8178-6441
Jean BertheletOlivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.ORCID 0000-0003-2562-0575
Shalin H NaikImmunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID 0000-0003-0299-3301
Delphine MerinoOlivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia. delphine.merino@onjcri.org.au.ORCID 0000-0002-8075-6275
The University of Melbourne · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.

Indexed as

NeoplasmsClone CellsHumansTumor Microenvironment

Identifiers

PMID35982229
OpenAlexW4292202196

What Socratic 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 Socratic graph.