Evidence map›Paper›PMID 20490864›Full record

ArticleJournal of cancer research and clinical oncology2011

New serum biomarkers for detection of esophageal carcinoma using Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Renyong Guo, Chunqin Pan, Jianmin Shen, Chibo Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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, 17 citations in OpenAlex.

  1. Review
  2. [Latest Research Findings on Health Management Based on Saliva Testing].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
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  10. The application of SELDI-TOF-MS in clinical diagnosis of cancers.Journal of biomedicine & biotechnology · 2011
    Review
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

4 authors at 1 institution in 1 country.

Renyong GuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China.
Chunqin Pan
Jianmin Shen
Chibo Liu
Taizhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo screen for the potential protein biomarkers in serum for the diagnosis of esophageal carcinoma (EC) using proteomic fingerprint technology.

methodsProteomic fingerprint technology combining magnetic beads with MALDI-TOF-MS was used to profile and compare the serum proteins from 78 patients with EC and 95 healthy blood donors. Proteomic patterns associated with EC were identified by Biomarker Patterns Software. Model of biomarkers was constructed and evaluated using the Biomarker Patterns Software.

resultsA total of 60 discriminating m/z peaks were identified that were related to EC (P < 0.01). The model of biomarkers constructed by the Biomarker Patterns Software based on the four biomarkers (2049.6, 3936.5, 5339.9, and 13748.8 Da) generated excellent separation between the EC and control groups. The sensitivity was 92.5% and the specificity was 88%. Blind test data indicated a sensitivity of 89.5% and a specificity of 84.4%.

conclusionsBiomarkers for EC can be discovered in serum by MALDI-TOF-MS combining the use of magnetic beads. The pattern of combined markers provides a powerful and reliable diagnostic method for EC with a high sensitivity and specificity.

Indexed as

Biomarkers, TumorBlood ProteinsEarly Detection of CancerEsophageal NeoplasmsFemaleHumansMagneticsMaleNeoplasm ProteinsNeoplasm StagingPeptide MappingReproducibility of ResultsSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorBlood ProteinsNeoplasm Proteins

Identifiers

PMID20490864
PMCPMC11828083
OpenAlexW1997377627

What OpenQuestion holds

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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.