Evidence map›Paper›PMID 26815306›Full record

ArticleInternational journal of cancer2016

Protein Z: A putative novel biomarker for early detection of ovarian cancer.

Matthew R Russell, Michael J Walker, Andrew J K Williamson, Aleksandra Gentry-Maharaj, Andy Ryan, Jatinderpal Kalsi, Steven Skates, Alfonsina D'Amato, Caroline Dive, Maria Pernemalm and 6 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

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  19. The plasma peptides of ovarian cancer.Clinical proteomics · 2018
    Article
  20. Elevation of TP53 Autoantibody Before CA125 in Preclinical Invasive Epithelial Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
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

16 authors.

Matthew R RussellStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Michael J WalkerStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Andrew J K WilliamsonStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Aleksandra Gentry-MaharajGynaecological Cancer Research Centre, Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Andy RyanGynaecological Cancer Research Centre, Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Jatinderpal KalsiGynaecological Cancer Research Centre, Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Steven SkatesBiostatistics Centre, MA General Hospital, Boston, MA.
Alfonsina D'AmatoStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Caroline DiveClinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom.
Maria PernemalmSciLifeLab, Department of Oncology and Pathology, Karolinska Institutet, Tomtebodavägen 23, 171 65, Solna, Sweden.
Phillip C HumphryesStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Evangelia-Ourania FourkalaGynaecological Cancer Research Centre, Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Anthony D WhettonStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Usha MenonGynaecological Cancer Research Centre, Women's Cancer, Institute for Women's Health, University College London, London, United Kingdom.
Ian JacobsStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.
Robert L J GrahamStoller Biomarker Discovery Centre and Pathology Node, Institute of Cancer Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom.

Funding

Proteomic, Genomic, and Longitudinal Pathways to Ovarian Cancer Biomarker DiscoveryU01CA152990 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL, SKATES, STEVEN J · 2010 to 2021
$8.9M
Cancer Research UK 12677Cancer Research UK 19278Cancer Research UK C1005/A12677Cancer Research UK C1467/A15578Department of HealthMedical Research Council G0801228Medical Research Council G9901012Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1NCI NIH HHS U01 CA152990
6 · The paper itself

Abstract

Ovarian cancer (OC) has the highest mortality of all gynaecological cancers. Early diagnosis offers an approach to achieving better outcomes. We conducted a blinded-evaluation of prospectively collected preclinical serum from participants in the multimodal group of the United Kingdom Collaborative Trial of Ovarian Cancer Screening. Using isobaric tags (iTRAQ) we identified 90 proteins differentially expressed between OC cases and controls. A second targeted mass spectrometry analysis of twenty of these candidates identified Protein Z as a potential early detection biomarker for OC. This was further validated by ELISA analysis in 482 serial serum samples, from 80 individuals, 49 OC cases and 31 controls, spanning up to 7 years prior to diagnosis. Protein Z was significantly down-regulated up to 2 years pre-diagnosis (p = 0.000000411) in 8 of 19 Type I patients whilst in 5 Type II individuals, it was significantly up-regulated up to 4 years before diagnosis (p = 0.01). ROC curve analysis for CA-125 and CA-125 combined with Protein Z showed a statistically significant (p = 0.00033) increase in the AUC from 77 to 81% for Type I and a statistically significant (p= 0.00003) increase in the AUC from 76 to 82% for Type II. Protein Z is a novel independent early detection biomarker for Type I and Type II ovarian cancer; which can discriminate between both types. Protein Z also adds to CA-125 and potentially the Risk of Ovarian Cancer algorithm in the detection of both subtypes.

Indexed as

AgedBiomarkers, TumorBlood ProteinsEarly Detection of CancerFemaleHumansMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsROC CurveBiomarkers, TumorBlood Proteinsplasma protein Zearly detectionovarian cancerproteomicsSWATHUKCTOCS

Identifiers

PMID26815306
PMCPMC4840324

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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.