Evidence map›Paper›PMID 27713570›Full record

ArticleScientific reports2016

Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research.

Christopher S Hughes, Melissa K McConechy, Dawn R Cochrane, Tayyebeh Nazeran, Anthony N Karnezis, David G Huntsman, Gregg B Morin

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

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  17. Global Protein Profiling in Processed Immunohistochemistry Tissue Sections.International journal of molecular sciences · 2023
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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

7 authors.

Christopher S HughesCanada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
Melissa K McConechyDepartment of Human Genetics, Research Institute of the McGill University Health Network, McGill University, Montreal, Canada.
Dawn R CochraneDepartment of Molecular Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
Tayyebeh NazeranDepartment of Pathology and Laboratory Medicine, University of British Columbia, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
Anthony N KarnezisDepartment of Pathology and Laboratory Medicine, University of British Columbia, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
David G HuntsmanDepartment of Molecular Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
Gregg B MorinCanada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although re-sequencing of gene panels and mRNA expression profiling are now firmly established in clinical laboratories, in-depth proteome analysis has remained a niche technology, better suited for studying model systems rather than challenging materials such as clinical trial samples. To address this limitation, we have developed a novel and optimized platform called SP3-Clinical Tissue Proteomics (SP3-CTP) for in-depth proteome profiling of practical quantities of tumour tissues, including formalin fixed and paraffin embedded (FFPE). Using single 10 μm scrolls of clinical tumour blocks, we performed in-depth quantitative analyses of individual sections from ovarian tumours covering the high-grade serous, clear cell, and endometrioid histotypes. This examination enabled the generation of a novel high-resolution proteome map of ovarian cancer histotypes from clinical tissues. Comparison of the obtained proteome data with large-scale genome and transcriptome analyses validated the observed proteome biology for previously validated hallmarks of this disease, and also identified novel protein features. A tissue microarray analysis validated cystathionine gamma-lyase (CTH) as a novel clear cell carcinoma feature with potential clinical relevance. In addition to providing a milestone in the understanding of ovarian cancer biology, these results show that in-depth proteomic analysis of clinically annotated FFPE materials can be effectively used as a biomarker discovery tool and perhaps ultimately as a diagnostic approach.

Indexed as

Adenocarcinoma, Clear CellCarcinoma, EndometrioidCystadenocarcinoma, SerousFemaleFormaldehydeGene Expression ProfilingHumansMass SpectrometryNeoplasm ProteinsOvarian NeoplasmsPeptide MappingProteogenomicsProteomicsTissue FixationTranslational Research, BiomedicalFormaldehydeNeoplasm Proteins

Identifiers

PMID27713570
PMCPMC5054533

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.