Evidence map›Paper›PMID 30898996›Full record

ArticleNature communications2019

A serum microRNA classifier for the diagnosis of sarcomas of various histological subtypes.

Naofumi Asano, Juntaro Matsuzaki, Makiko Ichikawa, Junpei Kawauchi, Satoko Takizawa, Yoshiaki Aoki, Hiromi Sakamoto, Akihiko Yoshida, Eisuke Kobayashi, Yoshikazu Tanzawa and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
–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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Circulating Biomarkers in Sarcoma.Current oncology reports · 2025
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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

19 authors.

Naofumi AsanoDivision of Rare Cancer Research, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Juntaro MatsuzakiDivision of Molecular and Cellular Medicine, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.ORCID http://orcid.org/0000-0002-3204-5049
Makiko IchikawaToray Industries, 6-10-1 Tebiro, Kamakura City, Kanagawa, 248-0036, Japan.
Junpei KawauchiToray Industries, 6-10-1 Tebiro, Kamakura City, Kanagawa, 248-0036, Japan.
Satoko TakizawaToray Industries, 6-10-1 Tebiro, Kamakura City, Kanagawa, 248-0036, Japan.
Yoshiaki AokiDynacom Co., Ltd., WBG E25 2-6-1 Nakase, Mihama-ku, Chiba, 261-7125, Japan.
Hiromi SakamotoDivision of Biobank and Tissue Resources, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Akihiko YoshidaDepartment of Pathology and Clinical Laboratory, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Eisuke KobayashiDepartment of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yoshikazu TanzawaDepartment of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Robert NakayamaDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Hideo MoriokaDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Morio MatsumotoDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Masaya NakamuraDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Tadashi KondoDivision of Rare Cancer Research, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Ken KatoDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.ORCID http://orcid.org/0000-0002-1733-5072
Naoto TsuchiyaLaboratory of Molecular Carcinogenesis, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Akira KawaiDepartment of Musculoskeletal Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Takahiro OchiyaDivision of Molecular and Cellular Medicine, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. tochiya@ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their rarity and diversity, sarcomas are difficult to diagnose. Consequently, there is an urgent demand for a novel diagnostic test for these cancers. In this study, we investigated serum miRNA profiles from 1002 patients with bone and soft tissue tumors representing more than 43 histological subtypes, including sarcomas, intermediate tumors, and benign tumors, to determine whether serum miRNA profiles could be used to specifically detect sarcomas. Circulating serum miRNA profiles in sarcoma patients were clearly distinct from those in patients with other types of tumors. Using the serum levels of seven miRNAs, we developed a molecular detector, Index VI, that could distinguish sarcoma patients from benign and healthy controls with remarkably high sensitivity (90%) and specificity (95%), regardless of histological subtype. Index VI provides an approach to the early and precise detection of sarcomas, potentially leading to curative treatment and longer survival.

Indexed as

AdultAgedBiomarkers, TumorBone NeoplasmsCase-Control StudiesCell-Free Nucleic AcidsDiagnosis, DifferentialFemaleHumansMaleMicroRNAsMiddle AgedNeoplasmsPrincipal Component AnalysisReal-Time Polymerase Chain ReactionSarcomaBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAs

Identifiers

PMID30898996
PMCPMC6428849

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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.