Evidence map›Paper›PMID 25849130›Full record

ArticleNature medicine2015

Studying clonal dynamics in response to cancer therapy using high-complexity barcoding.

Hyo-eun C Bhang, David A Ruddy, Viveksagar Krishnamurthy Radhakrishna, Justina X Caushi, Rui Zhao, Matthew M Hims, Angad P Singh, Iris Kao, Daniel Rakiec, Pamela Shaw and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 288 papers.

0numbers the graph read from it
0cells of the map it votes in
288citing papers in PubMed
–field-weighted citation impact
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

288 citing papers in PubMed.

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  11. Multiplexed enrichment and tracking of lineages with CloneSweeper.bioRxiv : the preprint server for biology · 2026
    Article
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228 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

23 authors.

Hyo-eun C BhangOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.ORCID 0000000318927093
David A RuddyTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Viveksagar Krishnamurthy RadhakrishnaOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Justina X CaushiOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Rui Zhao1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
Matthew M HimsOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Angad P SinghOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Iris KaoTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Daniel RakiecTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Pamela ShawTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Marissa BalakTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Alina RazaOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Elizabeth AckleyTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.ORCID 0000000212043951
Nicholas KeenOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Michael R SchlabachOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Michael PalmerTranslational Clinical Oncology, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Rebecca J LearyOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Derek Y ChiangOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
William R SellersOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Franziska Michor1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
Vesselina G CookeOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Joshua M KornOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
Frank StegmeierOncology Disease Area, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.

Funding

The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
NCI NIH HHS U54CA143798
6 · The paper itself

Abstract

Resistance to cancer therapies presents a significant clinical challenge. Recent studies have revealed intratumoral heterogeneity as a source of therapeutic resistance. However, it is unclear whether resistance is driven predominantly by pre-existing or de novo alterations, in part because of the resolution limits of next-generation sequencing. To address this, we developed a high-complexity barcode library, ClonTracer, which enables the high-resolution tracking of more than 1 million cancer cells under drug treatment. In two clinically relevant models, ClonTracer studies showed that the majority of resistant clones were part of small, pre-existing subpopulations that selectively escaped under therapeutic challenge. Moreover, the ClonTracer approach enabled quantitative assessment of the ability of combination treatments to suppress resistant clones. These findings suggest that resistant clones are present before treatment, which would make up-front therapeutic combinations that target non-overlapping resistance a preferred approach. Thus, ClonTracer barcoding may be a valuable tool for optimizing therapeutic regimens with the goal of curative combination therapies for cancer.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungCell DifferentiationCell Line, TumorCrizotinibDNADNA Barcoding, TaxonomicDNA, ComplementaryEpithelial-Mesenchymal TransitionErlotinib HydrochlorideFusion Proteins, bcr-ablGene DosageGene LibraryHumansLung NeoplasmsModels, TheoreticalBCR-ABL1 fusion protein, humanCrizotinibDNADNA, ComplementaryErlotinib HydrochlorideFusion Proteins, bcr-ablOligonucleotidesProto-Oncogene Proteins c-ablProto-Oncogene Proteins c-metPyrazolesPyridinesQuinazolines

Identifiers

PMID25849130

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.