Evidence map›Paper›PMID 30090875›Full record

ArticleLife science alliance2018

Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers.

Tiannan Guo, Li Li, Qing Zhong, Niels J Rupp, Konstantina Charmpi, Christine E Wong, Ulrich Wagner, Jan H Rueschoff, Wolfram Jochum, Christian Daniel Fankhauser and 5 more

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.3field-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

26 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Epigenetic profiling of prostate cancer reveals potential prognostic signatures.Journal of cancer research and clinical oncology · 2024
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  20. Inferring clonal composition from multiple tumor biopsies.NPJ systems biology and applications · 2020
    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

15 authors at 7 institutions in 4 countries.

Tiannan GuoDepartment of Biology, Institute of Molecular Systems Biology, ETH, Zurich, Switzerland.
Li LiCECAD, University of Cologne, Cologne, Germany.
Qing ZhongDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Niels J RuppDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Konstantina CharmpiCECAD, University of Cologne, Cologne, Germany.
Christine E WongDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Ulrich WagnerDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Jan H RueschoffDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Wolfram JochumInstitute of Pathology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Christian Daniel FankhauserDepartment of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Karim SabaDepartment of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Cedric PoyetDepartment of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Peter J WildDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH, Zurich, Switzerland.
Andreas BeyerCECAD, University of Cologne, Cologne, Germany.
University Hospital of Zurich · CHUniversity of Zurich · CHUniversity of Cologne · DEGoethe University Frankfurt · DEKantonsspital St. Gallen · CHThe University of Sydney · AUWestlake University · CN

Funding

European Research Council 233226European Research Council 670821
6 · The paper itself

Abstract

It remains unclear to what extent tumor heterogeneity impacts on protein biomarker discovery. Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of prostate tissues using pressure cycling technology and SWATH mass spectrometry. We quantified 6,873 proteins and analyzed the ITH of 3,700 proteins. The level of ITH varied depending on proteins and tissue types. Benign tissues exhibited more complex ITH patterns than malignant tissues. Spatial variability of ten prostate biomarkers was validated by immunohistochemistry in an independent cohort (n=83) using tissue microarrays. PSA was preferentially variable in benign prostatic hyperplasia, while GDF15 substantially varied in prostate adenocarcinomas. Further, we found that DNA repair pathways exhibited a high degree of variability in tumorous tissues, which may contribute to the genetic heterogeneity of tumors. This study conceptually adds a new perspective to protein biomarker discovery: it suggests that recent technological progress should be exploited to quantify and account for spatial proteome variation to complement biomarker identification and utilization.

Identifiers

PMID30090875
PMCPMC6078179
OpenAlexW2787358084

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.