Evidence map›Paper›PMID 25929744›Full record

ArticleHistochemistry and cell biology2015

Supremacy of modern morphometry in typing renal oncocytoma and malignant look-alikes.

Franziska Erlmeier, Annette Feuchtinger, Daniela Borgmann, Martina Rudelius, Michael Autenrieth, Axel Karl Walch, Gregor Weirich

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Article in Histochemistry and cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. PD-L2: A prognostic marker in chromophobe renal cell carcinoma?Medical oncology (Northwood, London, England) · 2017
    Article
  10. c-Met in chromophobe renal cell carcinoma.Medical oncology (Northwood, London, England) · 2017
    Article
  11. Review
  12. Review
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 4 institutions in 1 country.

Franziska ErlmeierInstitute of Pathology, Technische Universität München, Trogerstrasse 18, 81675, Munich, Germany.
Annette Feuchtinger
Daniela Borgmann
Martina Rudelius
Michael Autenrieth
Axel Karl Walch
Gregor Weirich
Helmholtz Zentrum München · DETechnical University of Munich · DEComprehensive Cancer Center Mainfranken · DEKlinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of tumour type-specific therapies, the correct typing of renal tumours is of prime importance. As immunotyping and genotyping approaches are laborious and fall short of standardization, we used whole-scale computer-assisted morphometry instead. Three different types of renal tumours with different prognoses and therapies, notoriously prone to mistyping, were analysed . The sample of 335 tumours included clear cell renal cell carcinoma, chromophobe renal cell carcinoma and renal oncocytoma. The sample was analysed using H&E stains of tissue microarrrays in combination with an image-scanning software. Nuclear and cytoplasmic features were registered with the aid of computer-assisted morphometry. Features included shape, texture, colour and colour intensity for different cell compartments, e.g. nuclei and cytoplasm. The software passed several training steps for final validation. Using morphometry, we were able to classify the three renal tumour types correctly, with a 100 % specificity compared to the WHO typing. Nuclear features dominated the typing of chromophobe renal cell carcinoma, whereas cytoplasmic features were the leading classificators for renal oncocytoma. The grading of clear cell renal cell carcinoma attained a specificity of 80 %. In conclusion, modern morphometry may serve as a tool for typing renal epithelial tumours and additionally draws the attention to future nuclear research in chromophobe renal cell carcinoma.

Indexed as

Cell SizeImage Processing, Computer-AssistedSoftwareTissue Array AnalysisAdenoma, OxyphilicAdultAgedAged, 80 and overFemaleHumansKidney NeoplasmsMaleMiddle Aged

Identifiers

PMID25929744
OpenAlexW2089286688

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.