Evidence map›Paper›PMID 31319803›Full record

ArticleBMC cancer2019

Spatial UBE2N protein expression indicates genomic instability in colorectal cancers.

Timo Gemoll, Elena Miroll, Oliver Klein, Annette Lischka, Murat Eravci, Christoph Thorns, Jens K Habermann

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Ubiquitin-conjugating Enzymes in Cancer.International journal of biological sciences · 2026
    Review
  3. Article
  4. An interactive analysis of the mouse oviductal miRNA profiles.Frontiers in cell and developmental biology · 2022
    Article
  5. Article
  6. Article
  7. 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

7 authors at 3 institutions in 1 country.

Timo GemollSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany. timo.gemoll@uni-luebeck.de.ORCID http://orcid.org/0000-0001-7400-5240
Elena MirollSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Oliver KleinBerlin-Brandenburg Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Annette LischkaSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Murat EravciInstitute of Chemistry and Biochemistry, Biochemistry, Freie Universität Berlin, Berlin, Germany.
Christoph ThornsInstitute of Pathology, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Jens K HabermannSection for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
University of Lübeck · DECharité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DE

Funding

Deutsche Krebshilfe 108446
6 · The paper itself

Abstract

backgroundOne major hallmark of colorectal cancers (CRC) is genomic instability with its contribution to tumor heterogeneity and therapy resistance. To facilitate the investigation of intra-sample phenotypes and the de novo identification of tumor sub-populations, imaging mass spectrometry (IMS) provides a powerful technique to elucidate the spatial distribution patterns of peptides and proteins in tissue sections.

methodsIn the present study, we analyzed an in-house compiled tissue microarray (n = 60) comprising CRCs and control tissues by IMS. After obtaining protein profiles through direct analysis of tissue sections, two validation sets were used for immunohistochemical evaluation.

resultsA total of 28 m/z values in the mass range 800-3500 Da distinguished euploid from aneuploid CRCs (p < 0.001, ROC AUC values < 0.385 or > 0.635). After liquid chromatograph-mass spectrometry identification, UBE2N could be successfully validated by immunohistochemistry in the initial sample cohort (p = 0.0274, ROC AUC = 0.7937) and in an independent sample set of 90 clinical specimens (p = 0.0070, ROC AUC = 0.6957).

conclusionsThe results showed that FFPE protein expression profiling of surgically resected CRC tissue extracts by MALDI-TOF MS has potential value for improved molecular classification. Particularly, the protein expression of UBE2N was validated in an independent clinical cohort to distinguish euploid from aneuploid CRCs.

Indexed as

Genomic InstabilityAgedAneuploidyArea Under CurveBiomarkers, TumorChromatography, LiquidCohort StudiesColorectal NeoplasmsFemaleHumansImmunohistochemistryMaleMiddle AgedProteomicsROC CurveSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorUBE2N protein, humanUbiquitin-Conjugating EnzymesAneuploidyGenomic instabilityImaging mass spectrometryUBE2N

Identifiers

PMID31319803
PMCPMC6639966
OpenAlexW2960616430

What OpenQuestion holds

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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.