Evidence map›Paper›PMID 37608343›Full record

ArticleCancer science2023

Discovery of lipid profiles in plasma-derived extracellular vesicles as biomarkers for breast cancer diagnosis.

Lin Liu, Masahiro Kawashima, Masahiro Sugimoto, Kazuhiro Sonomura, Fengling Pu, Wei Li, Masashi Takeda, Takayuki Goto, Kosuke Kawaguchi, Taka-Aki Sato and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.9field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Lin LiuDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-2059-3707
Masahiro KawashimaDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masahiro SugimotoInstitute of Medical Science, Tokyo Medical University, Tokyo, Japan.
Kazuhiro SonomuraCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Fengling PuDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Wei LiDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0001-7850-9999
Masashi TakedaDepartment of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0001-6673-8399
Takayuki GotoDepartment of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kosuke KawaguchiDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Taka-Aki SatoLife Science Research Center, Technology Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
Masakazu ToiDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-1488-9958
Kyoto University · JPShimadzu (Japan) · JPTokyo Medical University · JP

Funding

China Scholarship Council 202008050237JST FOREST Program JPMJFR200KKyowa KirinMinistry of Education, Culture, Sports, Science and Technology KAKENHI 21365268Nippon KayakuShimadzu
6 · The paper itself

Abstract

Lipids are a major component of extracellular vesicles; however, their significance in tumorigenesis and progression has not been well elucidated. As we previously found that lipid profiles drastically changed in breast tumors upon progression, we hypothesized that lipid profiles of plasma-derived extracellular vesicles could be utilized as breast cancer biomarkers. Here, we adopted modified sucrose cushion ultracentrifugation to isolate plasma-derived extracellular vesicles from breast cancer (n = 105), benign (n = 11), and healthy individuals (n = 43) in two independent cohorts (n = 126 and n = 33) and conducted targeted lipidomic analysis. We established a breast cancer diagnostic model comprising three lipids that showed favorable performance with the area under the receiver operating characteristic curve of 0.759, 0.743, and 0.804 in the training, internal validation, and external test sets, respectively. Moreover, we identified several lipids that could effectively discriminate breast cancer progression and subtypes: phosphatidylethanolamines and phosphatidylserines were relatively higher in Stage III, whereas phosphatidylcholines and sphingomyelins were higher in Stage IV; phosphatidylcholines and ceramides were correspondingly concentrated in HER2-positive patients, while lysophosphatidylcholines and polyunsaturated triglycerides were concentrated in the triple-negative breast cancer subtype. Lipid profiling of plasma-derived extracellular vesicles is a non-invasive and promising approach for diagnosing, staging, and subtyping breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsExtracellular VesiclesLipidsAdultAgedCase-Control StudiesFemaleHumansLipidomicsMiddle AgedROC CurveBiomarkers, TumorLipidsbiomarkerbreast cancerextracellular vesicleslipidomicsliquid biopsy

Identifiers

PMID37608343
PMCPMC10551607
OpenAlexW4386084298

What OpenQuestion holds

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LicenceCC BY-NC
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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.