Evidence map›Paper›PMID 31169336›Full record

ArticleCancer science2019

Monitoring of cancer patients via next-generation sequencing of patient-derived circulating tumor cells and tumor DNA.

Kaoru Onidani, Hirokazu Shoji, Takahiko Kakizaki, Seiichi Yoshimoto, Shinobu Okaya, Nami Miura, Shoichi Sekikawa, Koh Furuta, Chwee Teck Lim, Takahiko Shibahara and 3 more

Abstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  12. Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023
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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

13 authors.

Kaoru OnidaniDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.
Hirokazu ShojiDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8922-5227
Takahiko KakizakiDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.
Seiichi YoshimotoDepartment of Head and Neck Surgery, National Cancer Center Central Hospital, Tokyo, Japan.
Shinobu OkayaDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.
Nami MiuraDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.
Shoichi SekikawaDepartment of Oral and Maxillofacial Surgery, Tokyo Dental College, Tokyo, Japan.
Koh FurutaDivision of Clinical Laboratory, Kanagawa Cancer Center, Kanagawa, Japan.
Chwee Teck LimDepartment of Biomedical Engineering, National University of Singapore, Singapore.
Takahiko ShibaharaDepartment of Oral and Maxillofacial Surgery, Tokyo Dental College, Tokyo, Japan.
Narikazu BokuGastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
Ken KatoGastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
Kazufumi HondaDepartment of Biomarkers for Early Detection of Cancer, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1321-5345

Funding

Grant-in-Aid for Scientific Research (B) METX Challenging Exploratory Research GrantJapan Agency for Medical Research and Development 18cm0106403h0003JSPS KAKENHI 16K19381
6 · The paper itself

Abstract

Liquid biopsy of circulating tumor cells (CTC) and circulating tumor DNA (ctDNA) is gaining attention as a method for real-time monitoring in cancer patients. Conventional methods based upon epithelial cell adhesion molecule (EpCAM) expression have a risk of missing the most aggressive CTC subpopulations due to epithelial-mesenchymal transition and may, thus, underestimate the total number of actual CTC present in the bloodstream. Techniques utilizing a label-free inertial microfluidics approach (LFIMA) enable efficient capture of CTC without the need for EpCAM expression. In this study, we optimized a method for analyzing genetic alterations using next-generation sequencing (NGS) of extracted ctDNA and CTC enriched using an LFIMA as a first-phase examination of 30 patients with head and neck cancer, esophageal cancer, gastric cancer and colorectal cancer (CRC). Seven patients with advanced CRC were enrolled in the second-phase examination to monitor the emergence of alterations occurring during treatment with epidermal growth factor receptor (EGFR)-specific antibodies. Using LFIMA, we effectively captured CTC (median number of CTC, 14.5 cells/mL) from several types of cancer and detected missense mutations via NGS of CTC and ctDNA. We also detected time-dependent genetic alterations that appeared during anti-EGFR therapy in CTC and ctDNA from CRC patients. The results of NGS analyses indicated that alterations in the genomic profile revealed by the liquid biopsy could be expanded by using a combination of assays with CTC and ctDNA. The study was registered with the University Hospital Medical Information Network Clinical Trials Registry (ID: UMIN000014095).

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCirculating Tumor DNADNA, NeoplasmEpithelial Cell Adhesion MoleculeEpithelial-Mesenchymal TransitionErbB ReceptorsFemaleHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMaleMiddle AgedMutationBiomarkers, TumorCirculating Tumor DNADNA, NeoplasmEpithelial Cell Adhesion MoleculeErbB Receptorscirculating tumor cellcirculating tumor DNAgastrointestinal cancerhead and neck cancerliquid biopsy

Identifiers

PMID31169336
PMCPMC6676129

What OpenQuestion holds

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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.