Evidence map›Paper›PMID 29123261›Full record

ArticleBritish journal of cancer2017

A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline.

Xiaohui Liu, Weimin Zheng, Wansheng Wang, Huali Shen, Linxiao Liu, Wenhui Lou, Xiaolin Wang, Pengyuan Yang

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. 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 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  13. Functional and Clinical Proteomic Exploration of Pancreatic Cancer.Molecular & cellular proteomics : MCP · 2023
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  17. Cells · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Xiaohui LiuThe Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, China.
Weimin ZhengDepartment of Chemistry, Fudan University, Shanghai 200433, China.
Wansheng WangDepartment of Interventional Radiology, First Affiliated Hospital, Soochow University, Suzhou 215006, China.
Huali ShenInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Linxiao LiuDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Wenhui LouDepartment of pancreatic surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Xiaolin WangDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Pengyuan YangThe Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, China.
Fudan University · CNZhongshan Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic carcinoma (PC) is an aggressive malignancy that lacks strategies for early detection. This study aimed to develop a coherent, high-throughput and non-discriminatory pipeline for the novel clinical biomarker discovery of PC.

methodsWe combined mass spectrometry (MS)-intensive methods such as isobaric tags for relative and absolute quantitation with two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS), 1D-targeted LC-MS/MS, prime MRM (P-MRM) and stable isotope dilution-based MRM (SID-MRM) to analyse serum samples from healthy people (normal control, NC), patients with benign diseases (BD) and PC patients to identify novel biomarkers of PC.

resultsOn the basis of the newly developed pipeline, we identified >1000 proteins, verified 142 differentially expressed proteins and finally targeted four proteins for absolute quantitation in 100 serum samples. The novel biomarker panel of apolipoprotein E (APOE), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), apolipoprotein A-I (APOA1), apolipoprotein L1 (APOL1), combining with CA19-9, statistically-significantly improved the sensitivity (95%) and specificity (94.1%), outperforming CA19-9 alone, for the diagnosis of PC.

conclusionsWe developed a highly efficient pipeline for biomarker discovery, verification and validation, with each step systematically informing the next. A panel of proteins that might be clinically relevant biomarkers for PC was found.

Indexed as

Alpha-GlobulinsApolipoprotein A-IApolipoprotein L1Apolipoproteins EArea Under CurveBiomarkers, TumorCA-19-9 AntigenCarcinomaChromatography, LiquidHumansImmunohistochemistryPancreatic NeoplasmsROC CurveTandem Mass SpectrometryAlpha-GlobulinsAPOA1 protein, humanAPOL1 protein, humanApolipoprotein A-IApolipoprotein L1Apolipoproteins EBiomarkers, TumorCA-19-9 Antigeninter-alpha-inhibitor

Identifiers

PMID29123261
PMCPMC5729477
OpenAlexW2767820283

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.