Evidence map›Paper›PMID 28978093›Full record

ArticleOncotarget2017

Molecular characterization of circulating colorectal tumor cells defines genetic signatures for individualized cancer care.

Say Li Kong, Xingliang Liu, Nur-Afidah Mohamed Suhaimi, Kenneth Jia Hao Koh, Min Hu, Daniel Yoke San Lee, Igor Cima, Wai Min Phyo, Esther Xing Wei Lee, Joyce A Tai and 8 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Say Li KongGenome Institute of Singapore, Singapore 138672, Singapore.
Xingliang LiuGenome Institute of Singapore, Singapore 138672, Singapore.
Nur-Afidah Mohamed SuhaimiInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Kenneth Jia Hao KohGenome Institute of Singapore, Singapore 138672, Singapore.
Min HuInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Daniel Yoke San LeeInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Igor CimaInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Wai Min PhyoInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Esther Xing Wei LeeInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Joyce A TaiGenome Institute of Singapore, Singapore 138672, Singapore.
Yu Miin FoongInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Jess Honganh VoInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Poh Koon KohInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Tong ZhangGenome Institute of Singapore, Singapore 138672, Singapore.
Jackie Y YingInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Bing LimGenome Institute of Singapore, Singapore 138672, Singapore.
Min-Han TanInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Axel M HillmerGenome Institute of Singapore, Singapore 138672, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on circulating tumor cells (CTCs) have largely focused on platform development and CTC enumeration rather than on the genomic characterization of CTCs. To address this, we performed targeted sequencing of CTCs of colorectal cancer patients and compared the mutations with the matched primary tumors. We collected preoperative blood and matched primary tumor samples from 48 colorectal cancer patients. CTCs were isolated using a label-free microfiltration device on a silicon microsieve. Upon whole genome amplification, we performed amplicon-based targeted sequencing on a panel of 39 druggable and frequently mutated genes on both CTCs and fresh-frozen tumor samples. We developed an analysis pipeline to minimize false-positive detection of somatic mutations in amplified DNA. In 60% of the CTC-enriched blood samples, we detected primary tumor matching mutations. We found a significant positive correlation between the allele frequencies of somatic mutations detected in CTCs and abnormal CEA serum level. Strikingly, we found driver mutations and amplifications in cancer and druggable genes such as

Indexed as

circulating tumor cellscolorectal cancerdruggable mutationmutation signaturestargeted sequencing

Identifiers

PMID28978093
PMCPMC5620233

What OpenQuestion holds

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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.