Evidence map›Paper›PMID 28645267›Full record

ArticleBMC cancer2017

A rapid and quantitative method to detect human circulating tumor cells in a preclinical animal model.

Shih-Hsin Tu, Yi-Chen Hsieh, Li-Chi Huang, Chun-Yu Lin, Kai-Wen Hsu, Wen-Shyang Hsieh, Wei-Ming Chi, Chia-Hwa Lee

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Human placental-derived stem cell therapy ameliorates experimental necrotizing enterocolitis.American journal of physiology. Gastrointestinal and liver physiology · 2021
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  9. Cancers · 2020
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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

8 authors at 6 institutions in 1 country.

Shih-Hsin TuDepartment of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yi-Chen HsiehComprehensive Cancer Center of Taipei Medical University, Taipei, Taiwan.
Li-Chi HuangDepartment of Endocrinology, Cathay General Hospital, Taipei, Taiwan.
Chun-Yu LinInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Kai-Wen HsuResearch Center for Tumor Medical Science, China Medical University, Taichung, Taiwan.
Wen-Shyang HsiehDepartment of Laboratory Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan.
Wei-Ming ChiDepartment of Laboratory Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan.
Chia-Hwa LeeComprehensive Cancer Center of Taipei Medical University, Taipei, Taiwan. chlee@tmu.edu.tw.
Taipei Medical University · TWTaipei Medical University-Shuang Ho Hospital · TWCathay General Hospital · TWChina Medical University · TWNational Yang Ming Chiao Tung University · TWTaipei Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs cancer metastasis is the deadliest aspect of cancer, causing 90% of human deaths, evaluating the molecular mechanisms underlying this process is the major interest to those in the drug development field. Both therapeutic target identification and proof-of-concept experimentation in anti-cancer drug development require appropriate animal models, such as xenograft tumor transplantation in transgenic and knockout mice. In the progression of cancer metastasis, circulating tumor cells (CTCs) are the most critical factor in determining the prognosis of cancer patients. Several studies have demonstrated that measuring CTC-specific markers in a clinical setting (e.g., flow cytometry) can provide a current status of cancer development in patients. However, this useful technique has rarely been applied in the real-time monitoring of CTCs in preclinical animal models.

methodsIn this study, we designed a rapid and reliable detection method by combining a bioluminescent in vivo imaging system (IVIS) and quantitative polymerase chain reaction (QPCR)-based analysis to measure CTCs in animal blood. Using the IVIS Spectrum CT System with 3D-imaging on orthotropic-developed breast-tumor-bearing mice.

resultsIn this manuscript, we established a quick and reliable method for measuring CTCs in a preclinical animal mode. The key to this technique is the use of specific human and mouse GUS primers on DNA/RNA of mouse peripheral blood under an absolute qPCR system. First, the high sensitivity of cancer cell detection on IVIS was presented by measuring the luciferase carried MDA-MB-231 cells from 5 to 5x10

conclusionCollectively, the techniques developed for this study resulted in the integration of CTC assessments into preclinical models both in vivo and ex vivo, which will facilitate translational targeted therapy in clinical practice.

Indexed as

AnimalsBiomarkers, TumorBreast NeoplasmsDisease Models, AnimalFemaleFlow CytometryHumansMiceMolecular ImagingNeoplasm MetastasisNeoplastic Cells, CirculatingPrognosisXenograft Model Antitumor AssaysBiomarkers, TumorCancer metastasisCirculating tumor cellsIn vivo bioluminescent imaging systemQuantitative PCR

Identifiers

PMID28645267
PMCPMC5481956
OpenAlexW2666407133

What OpenQuestion holds

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LicenceCC BY
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.