Evidence map›Paper›PMID 28138402›Full record

ArticleThe journal of pathology. Clinical research2017

Construction and analysis of tissue microarrays in the era of digital pathology: a pilot study targeting CDX1 and CDX2 in a colon cancer cohort of 612 patients.

Sarah Nolte, Inti Zlobec, Alessandro Lugli, Werner Hohenberger, Roland Croner, Susanne Merkel, Arndt Hartmann, Carol I Geppert, Tilman T Rau

Open access · goldAbstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2017. 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
2.4field-weighted citation impact, top 10% 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, 44 citations in OpenAlex.

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  13. PCSK2 expression in neuroendocrine tumors points to a midgut, pulmonary, or pheochromocytoma-paraganglioma origin.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2020
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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

9 authors at 2 institutions in 2 countries.

Sarah NolteInstitute of Pathology Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Inti ZlobecInstitute of Pathology University Bern Bern Switzerland.
Alessandro LugliInstitute of Pathology University Bern Bern Switzerland.
Werner HohenbergerDepartment of Surgery Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Roland CronerDepartment of Surgery Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Susanne MerkelDepartment of Surgery Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Arndt HartmannInstitute of Pathology Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Carol I GeppertInstitute of Pathology Friedrich Alexander University Erlangen-Nuremberg Erlangen Germany.
Tilman T RauInstitute of PathologyFriedrich Alexander University Erlangen-NurembergErlangenGermany; Institute of PathologyUniversity BernBernSwitzerland.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CDX1 and CDX2 are possibly predictive biomarkers in colorectal cancer. We combined digitally-guided (next generation) TMA construction (ngTMA) and the utility of digital image analysis (DIA) to assess accuracy, tumour heterogeneity and the selective impact of different combined intensity-percentage levels on prognosis.CDX1 and CDX2 immunohistochemistry was performed on ngTMAs covering normal tissue, tumour centre and invasive front. The percentages of all epithelial cells per staining intensity per core were analysed digitally. Beyond classical prognosis analysis following REMARK guidelines, we investigated pre-analytical conditions, three different types of heterogeneity (mosaic-like, targeted and haphazard) and influences on cohort segregation and patient selection. The ngTMA-DIA approach produced robust biomarker data with infrequent core loss and excellent on-target punching. The detailed assessment of tumour heterogeneity could - except for a certain diffuse mosaic-like heterogeneity - exclude differences between the invasive front and tumour centre, as well as detect haphazard clonal heterogeneous elements. Moreover, lower CDX1 and CDX2 counts correlated with mucinous histology, higher TNM stage, higher tumour grade and worse survival (

Indexed as

CDX1CDX2colon cancerdigital image analysisngTMAtissue microarraytumour heterogeneity

Identifiers

PMID28138402
PMCPMC5259563
OpenAlexW2535009445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.