Evidence map›Paper›PMID 21080108›Full record

ArticleMedical oncology (Northwood, London, England)2011

Discrimination analysis of mass spectrometry proteomics for cervical cancer detection.

Chibo Liu, Chunqin Pan, Jianmin Shen, Haibao Wang, Liang Yong, Richu Zhang

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Article in Medical oncology (Northwood, London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Chibo LiuTaizhou Municipal Hospital, 318000 Taizhou, Zhejiang, China.
Chunqin Pan
Jianmin Shen
Haibao Wang
Liang Yong
Richu Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study the serum protein fingerprint of patients with cervical cancer and to screen for protein molecules closely related to cervical cancer during the onset and progression of the disease using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Serum samples from 85 patients with cervical cancer and 80 healthy volunteers. Weak cation exchange (WCX) magnetic beads and PBSII-C protein chips reader (Ciphergen Biosystems Ins.) were used.The protein fingerprint expression of all the serum samples and the resulting profiles between cancer and normal were analyzed with Biomarker Wizard system. A group of proteomic peaks were detected. Three differently expressed potential biomarkers were identified with the relative molecular weights of 3974 Da, 4175 Da, 5906 Da. This diagnostic model can distinguish cervical cancer from healthy controls with a sensitivity of 93.3% and a specificity of 95%. Blind test data indicated a sensitivity of 87.5% and a specificity of 90%. MALDI technology can be used to screen significant proteins of differential expression in the serum of cervical cancer patients. These different proteins could be specific biomarkers of the patients with cervical cancer in the serum and have the potential value of further investigation.

Indexed as

Biomarkers, TumorDiscriminant AnalysisFemaleHumansProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUterine Cervical NeoplasmsBiomarkers, Tumor

Identifiers

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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.