Evidence map›Paper›PMID 31416266›Full record

ArticleDiagnostics (Basel, Switzerland)2019

Development of a Highly Sensitive Technique for Capturing Renal Cell Cancer Circulating Tumor Cells.

Michio Naoe, Chiho Kusaka, Mika Ohta, Yuki Hasebe, Tsutomu Unoki, Hideaki Shimoyama, Takehiko Nakasato, Kazuhiko Oshinomi, Jun Morita, Kohzo Fuji and 4 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

14 authors.

Michio NaoeDepartment of Urology, Showa University, Tokyo 142-8666, Japan. naoemichio@gmail.com.
Chiho KusakaDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Mika OhtaDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Yuki HasebeDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Tsutomu UnokiDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Hideaki ShimoyamaDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Takehiko NakasatoDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Kazuhiko OshinomiDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Jun MoritaDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Kohzo FujiDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Yoshio OgawaDepartment of Urology, Showa University, Tokyo 142-8666, Japan.
Mana TsukadaDepartment of Physiology, School of Medicine, Showa University, Tokyo 142-8666, Japan.
Masataka SunagawaDepartment of Physiology, School of Medicine, Showa University, Tokyo 142-8666, Japan.
Hikaru IshiiIshii-clinic Kyobashi Edogrand, Tokyo 104-0031, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiquid biopsy is becoming increasingly important as a guide for selecting new drugs and determining their efficacy. In urological cancer, serum markers for renal cell and urothelial cancers has made the development of liquid biopsy for these cancers strongly desirable. Liquid biopsy is less invasive than conventional tissue biopsy is, enabling frequent biopsies and, therefore, is considered effective for monitoring the treatment course. Circulating tumor cells (CTCs) are a representative liquid biopsy specimen. In the present study, we focused on developing our novel technology for capturing renal cell cancer (RCC)-CTCs using an anti-G250 antibody combined with new devices. Basic experiments of our technology showed that it was possible to detect RCC-CTC with a fairly high accuracy of about 95%. Also, RCC-CTC was identified in the peripheral blood of actual RCC patients. Additionally, during the treatment course of the RCC patient, change in the number of RCC-CTC was confirmed in one case. We believe that the technology we developed will be useful for determining the treatment efficacy and drug selection for the treatment of renal cell cancer (RCC). In order to solve issues such as thresholds setting of this technology, large-scale clinical trials are expected.

Indexed as

circulating tumor cellsG250 antigenrenal cell carcinoma

Identifiers

PMID31416266
PMCPMC6787717

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.