Evidence map›Paper›PMID 30814616›Full record

ArticleScientific reports2019

Alteration of specific cytokine expression patterns in patients with breast cancer.

Kosuke Kawaguchi, Masashi Sakurai, Yasuko Yamamoto, Eiji Suzuki, Moe Tsuda, Tatsuki R Kataoka, Masahiro Hirata, Mariko Nishie, Takashi Nojiri, Motofumi Kumazoe and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

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  8. Mathematical Modeling ofBioengineering (Basel, Switzerland) · 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

12 authors at 5 institutions in 1 country.

Kosuke KawaguchiDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan. kkosuke@kuhp.kyoto-u.ac.jp.
Masashi SakuraiHuman Health Sciences, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Kyoto, Japan.
Yasuko YamamotoDepartment of Disease Control and Prevention, Fujita Health University Graduate School of Health Sciences, Toyoake, Aichi, Japan.
Eiji SuzukiDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Moe TsudaDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Tatsuki R KataokaDepartment of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.
Masahiro HirataDepartment of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.
Mariko NishieDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takashi NojiriDepartment of General Thoracic Surgery, Higashiosaka City Medical Center, Osaka, Japan.
Motofumi KumazoeDepartment of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University, Fukuoka, Japan.
Kuniaki SaitoHuman Health Sciences, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Kyoto, Japan.
Masakazu ToiDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kyoto University · JPFujita Health University · JPKyoto University Hospital · JPKyushu University · JPOsaka City General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation has been associated with aggressive tumor growth, invasion, and metastasis. Here we performed a comprehensive analysis of 26 kinds of inflammatory cytokine expression patterns among 185 patients with breast cancer and 54 healthy volunteers followed by chemometric analysis. We identified the specific cytokine expression patterns of breast cancer patients compared to healthy volunteers with (1) VEGF, IL-9, GM-CSF, IL-13, IL-4, and IFNγ, (2) IL-8, IL-10, IL-12, IL-5, IL-7, IL-1α, GCSF, IL-1β, and TNFα and (3) IL-2, Eotaxin, MIP1β, MIP1α, IL-17, and bFGF. Among the patients with breast cancer, we identified the specific cytokine signature of metastatic patients compared to non-metastatic patients. We also established a mathematical model for distinguishing patients with breast cancer from healthy volunteers and metastatic patients from non-metastatic patients. This cytokine network analysis could provide new insights into early intervention and effective therapeutic strategy for patients with breast cancer.

Indexed as

Breast NeoplasmsCytokinesFemaleGene Expression Regulation, NeoplasticHumansModels, TheoreticalNeoplasm MetastasisCytokines

Identifiers

PMID30814616
PMCPMC6393524
OpenAlexW2918178824

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.