Evidence map›Paper›PMID 36204272›Full record

ArticleiScience2022

Multiomic characterization and drug testing establish circulating tumor cells as an

Jia-Yang Chen, Hsu-Huan Chou, Syer Choon Lim, Yen-Jang Huang, Kuan-Chen Lai, Chin-Lin Guo, Chien-Yi Tung, Chung-Tsai Su, Jocelyn Wang, Edward Liu and 8 more

Abstract read
In one paragraph

Article in iScience, 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
–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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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

18 authors.

Jia-Yang ChenGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Hsu-Huan ChouDepartment of General Surgery, Chang-Gung Memorial Hospital, Linkou, Taoyuan 333, Taiwan.
Syer Choon LimGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Yen-Jang HuangGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Kuan-Chen LaiInstitute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
Chin-Lin GuoInstitute of Physics, Academia Sinica, Taipei 115, Taiwan.
Chien-Yi TungCancer Progression Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
Chung-Tsai SuAtgenomix Inc., Taipei 105, Taiwan.
Jocelyn WangThe College, The University of Chicago, Chicago, IL 60637, USA.
Edward LiuGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Hsiao-Fen HanInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei 106, Taiwan.
Po-Ying YehGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Chun-Mei HuGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Alexander R DunnDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Curtis W FrankDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Yi-Chun WuInstitute of Molecular and Cellular Biology, National Taiwan University, Taipei 106, Taiwan.
Muh-Hwa YangGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.
Ying-Chih ChangGenomics Research Center, Academia Sinica, Taipei 115, Taiwan.

Funding

Molecular mechanisms underlying force transduction at cellular adhesion complexesR35GM130332 · NIGMS · STANFORD UNIVERSITY · PI Alexander R Dunn · 2019 to 2026
$4.9M
NIGMS NIH HHS R35 GM130332
6 · The paper itself

Abstract

Matching the treatment to an individual patient's tumor state can increase therapeutic efficacy and reduce tumor recurrence. Circulating tumor cells (CTCs) derived from solid tumors are promising subjects for theragnostic analysis. To analyze how CTCs represent tumor states, we established cell lines from CTCs, primary and metastatic tumors from a mouse model and provided phenotypic and multiomic analyses of these cells. CTCs and metastatic cells, but not primary tumor cells, shared stochastic mutations and similar hypomethylation levels at transcription start sites. CTCs and metastatic tumor cells shared a hybrid epithelial/mesenchymal transcriptome state with reduced adhesive and enhanced mobilization characteristics. We tested anti-cancer drugs on tumor cells from a metastatic breast cancer patient. CTC responses mirrored the impact of drugs on metastatic rather than primary tumors. Our multiomic and clinical anti-cancer drug response results reveal that CTCs resemble metastatic tumors and establish CTCs as an

Indexed as

CancerOmicsPrecision medicineTranscriptomics

Identifiers

PMID36204272
PMCPMC9529671

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.