Evidence map›Paper›PMID 31897331›Full record

ArticleJournal of breast cancer2019

A Validation Study of a Multiple Reaction Monitoring-Based Proteomic Assay to Diagnose Breast Cancer.

Yumi Kim, Un-Beom Kang, Sungsoo Kim, Han-Byoel Lee, Hyeong-Gon Moon, Wonshik Han, Dong-Young Noh

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Proteomic Interrogation in Cancer Biomarker.Advances in experimental medicine and biology · 2021
    Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Yumi KimDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-0084-337X
Un-Beom KangDaegu Gyeongbuk Institute of Science & Technology, Daegu, Korea.ORCID 0000-0002-9246-4237
Sungsoo KimInterdisciplinary Graduate Program in Genetic Engineering, Seoul National University College of Natural Science, Seoul, Korea.ORCID 0000-0003-1870-3495
Han-Byoel LeeDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-0152-575X
Hyeong-Gon MoonDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-9981-0286
Wonshik HanDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-7310-0764
Dong-Young NohDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-9418-7256
Seoul National University · KRDaegu Gyeongbuk Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCurrently, the standard screening tool for breast cancer is screening mammography. There have been many efforts to develop a blood-based diagnostic assay for breast cancer diagnosis; however, none have been approved for clinical use at this time. The purpose of this study was to determine the accuracy of a novel blood-based proteomic test for aiding breast cancer diagnosis in a relatively large cohort of cancer patients.

methodsA blood-based test using multiple reaction monitoring (MRM) measured by mass spectrometry to quantify 3 peptides (apolipoprotein C-1, carbonic anhydrase 1, and neural cell adhesion molecule L1-like protein) present in human plasma was investigated. A total of 1,129 blood samples from 575 breast cancer patients, 454 healthy controls, and 100 patients with other malignancies were used to verify and optimize the assay.

resultsThe diagnostic sensitivity, specificity, and accuracy of the MRM-based proteomic assay were 71.6%, 85.3%, and 77%, respectively; the area under the receiver operating characteristic curve was 0.8323. The proteomic assay did not demonstrate diagnostic accuracy in patients with other types of malignancies including thyroid, pancreatic, lung, and colon cancers. The diagnostic performance of the proteomic assay was not associated with the timing of blood sampling before or after anesthesia.

conclusionThe data demonstrated that an MRM-based proteomic assay that measures plasma levels of three specific peptides can be a useful tool for breast cancer screening and its accuracy is cancer-type specific.

Indexed as

BiomarkersBlood proteinsBreast neoplasmsDiagnosisProteomics

Identifiers

PMID31897331
PMCPMC6933034
OpenAlexW2996957415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.