Evidence map›Paper›PMID 28336725›Full record

ArticleMolecular & cellular proteomics : MCP2017

Quantitative Shotgun Proteomics Unveils Candidate Novel Esophageal Adenocarcinoma (EAC)-specific Proteins.

J Robert O'Neill, Hui-Song Pak, Erola Pairo-Castineira, Vicki Save, Simon Paterson-Brown, Rudolf Nenutil, Bořivoj Vojtěšek, Ian Overton, Alex Scherl, Ted R Hupp

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-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

16 citing papers in PubMed, 26 citations in OpenAlex.

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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

10 authors at 6 institutions in 4 countries.

J Robert O'NeillFrom the ‡Edinburgh Cancer Research Centre at the Institute of Genetics and Molecular Medicine, Edinburgh University; Robert.o'neill@ed.ac.uk.ORCID 0000-0003-2230-7137
Hui-Song Pak¶Department of Human Protein Sciences, Faculty of Medicine, University of Geneva.
Erola Pairo-Castineira‖Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh.
Vicki Save‡‡Department of Pathology, Royal Infirmary of Edinburgh.
Simon Paterson-Brown§Department of Surgery, Royal Infirmary of Edinburgh.
Rudolf Nenutil§§Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno.
Bořivoj Vojtěšek§§Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno.
Ian Overton‖Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh.
Alex Scherl¶Department of Human Protein Sciences, Faculty of Medicine, University of Geneva.
Ted R HuppFrom the ‡Edinburgh Cancer Research Centre at the Institute of Genetics and Molecular Medicine, Edinburgh University.
Edinburgh Royal Infirmary · GBMolecular Oncology (United States) · USUniversity of Geneva · CHMasaryk Memorial Cancer Institute · CZMRC Institute of Genetics and Molecular Medicine · GBUniversity of Edinburgh · GB

Funding

Medical Research Council MC_UU_12018/25Wellcome TrustWellcome Trust 094417/Z/10/Z
6 · The paper itself

Abstract

Esophageal cancer is the eighth most common cancer worldwide and the majority of patients have systemic disease at presentation. Esophageal adenocarcinoma (OAC), the predominant subtype in western countries, is largely resistant to current chemotherapy regimens. Selective markers are needed to enhance clinical staging and to allow targeted therapies yet there are minimal proteomic data on this cancer type. After histological review, lysates from OAC and matched normal esophageal and gastric samples from seven patients were subjected to LC MS/MS after tandem mass tag labeling and OFFGEL fractionation. Patient matched samples of OAC, normal esophagus, normal stomach, lymph node metastases and uninvolved lymph nodes were used from an additional 115 patients for verification of expression by immunohistochemistry (IHC).Over six thousand proteins were identified and quantified across samples. Quantitative reproducibility was excellent between technical replicates and a moderate correlation was seen across samples with the same histology. The quantitative accuracy was verified across the dynamic range for seven proteins by immunohistochemistry (IHC) on the originating tissues. Multiple novel tumor-specific candidates are proposed and EPCAM was verified by IHC.This shotgun proteomic study of OAC used a comparative quantitative approach to reveal proteins highly expressed in specific tissue types. Novel tumor-specific proteins are proposed and EPCAM was demonstrated to be specifically overexpressed in primary tumors and lymph node metastases compared with surrounding normal tissues. This candidate and others proposed in this study could be developed as tumor-specific targets for novel clinical staging and therapeutic approaches.

Indexed as

AdenocarcinomaAdultAgedBiomarkers, TumorEsophageal NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm ProteinsProteomicsBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID28336725
PMCPMC5461543
OpenAlexW2599328847

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.