Evidence map›Paper›PMID 20346108›Full record

ArticleBMC cancer2010

Differential profiling of breast cancer plasma proteome by isotope-coded affinity tagging method reveals biotinidase as a breast cancer biomarker.

Un-Beom Kang, Younghee Ahn, Jong Won Lee, Yong-Hak Kim, Joon Kim, Myeong-Hee Yu, Dong-Young Noh, Cheolju Lee

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 76 citations in OpenAlex.

  1. Biotin Homeostasis and Human Disorders: Recent Findings and Perspectives.International journal of molecular sciences · 2024
    Review
  2. Article
  3. Article
  4. Plasma proteome of growing tumors.Scientific reports · 2023
    Article
  5. Observational
  6. Review
  7. Article
  8. Proteomic Interrogation in Cancer Biomarker.Advances in experimental medicine and biology · 2021
    Article
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  11. Article
  12. Review
  13. Article
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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

8 authors at 3 institutions in 1 country.

Un-Beom KangLife Sciences Division, Korea Institute of Science and Technology, Seoul 136-791, Korea.
Younghee Ahn
Jong Won Lee
Yong-Hak Kim
Joon Kim
Myeong-Hee Yu
Dong-Young Noh
Cheolju Lee
Korea Institute of Science and Technology · KRSeoul National University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the leading causes of women's death worldwide. It is important to discover a reliable biomarker for the detection of breast cancer. Plasma is the most ideal source for cancer biomarker discovery since many cells cross-communicate through the secretion of soluble proteins into blood.

methodsPlasma proteomes obtained from 6 breast cancer patients and 6 normal healthy women were analyzed by using the isotope-coded affinity tag (ICAT) labeling approach and tandem mass spectrometry. All the plasma samples used were depleted of highly abundant 6 plasma proteins by immune-affinity column chromatography before ICAT labeling. Several proteins showing differential abundance level were selected based on literature searches and their specificity to the commercially available antibodies, and then verified by immunoblot assays.

resultsA total of 155 proteins were identified and quantified by ICAT method. Among them, 33 proteins showed abundance changes by more than 1.5-fold between the plasmas of breast cancer patients and healthy women. We chose 5 proteins for the follow-up confirmation in the individual plasma samples using immunoblot assay. Four proteins, alpha1-acid glycoprotein 2, monocyte differentiation antigen CD14, biotinidase (BTD), and glutathione peroxidase 3, showed similar abundance ratio to ICAT result. Using a blind set of plasmas obtained from 21 breast cancer patients and 21 normal healthy controls, we confirmed that BTD was significantly down-regulated in breast cancer plasma (Wilcoxon rank-sum test, p = 0.002). BTD levels were lowered in all cancer grades (I-IV) except cancer grade zero. The area under the receiver operating characteristic curve of BTD was 0.78. Estrogen receptor status (p = 0.940) and progesterone receptor status (p = 0.440) were not associated with the plasma BTD levels.

conclusionsOur study suggests that BTD is a potential serological biomarker for the detection of breast cancer.

Indexed as

AdultBiomarkers, TumorBiotinidaseBlotting, WesternBreast NeoplasmsChromatography, LiquidFemaleHumansIsotope LabelingMiddle AgedProteomeTandem Mass SpectrometryBiomarkers, TumorBiotinidaseProteome

Identifiers

PMID20346108
PMCPMC2861033
OpenAlexW2096579722

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.