Evidence map›Paper›PMID 37510063›Full record

ArticleDiagnostics (Basel, Switzerland)2023

The Utility of Mitochondrial Detection Methods Applied as an Additional Tool for the Differentiation of Renal Cell Tumors.

Gorana Nikolic, Maja Zivotic, Sanja Cirovic, Sanja Despotovic, Dusko Dundjerovic, Sanja Radojevic Skodric

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Gorana NikolicInstitute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0003-4664-3389
Maja ZivoticInstitute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Sanja CirovicInstitute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Sanja DespotovicInstitute for Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Dusko DundjerovicInstitute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Sanja Radojevic SkodricInstitute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
University of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise differentiation of renal cell tumors (RCTs) is sometimes hard to achieve using standard imaging and histopathological methods, especially for those with eosinophilic features. It has been suggested that the vast overabundance of mitochondria, as a well-known hallmark of eosinophilic cytoplasm, and could be a characteristic of distinct tumor types with opposing clinical outcomes. Thus, we intended to explore the associations between mitochondrial distribution patterns in different RCTs, including 43 cell renal cell carcinomas (ccRCCs), 15 papillary renal cell carcinomas (pRCCs), 20 chromophobe renal cell carcinomas (chRCCs), and 18 renal oncocytomas (ROs). Tumor samples were stained with two anti-mitochondrial antibodies (mitochondrial antibody Ab-2, clone MTC02; prohibitin, II-14-10, MA5-12858), applying immunohistochemistry and immunofluorescence to define mitochondrial distribution patterns (coarse scanty, moderate granular, and diffuse granular). Our results revealed significantly different expression patterns among the investigated RCTs (

Indexed as

electron microscopyimmunofluorescenceimmunohistochemistrymitochondriarenal cell carcinomasrenal cell tumors

Identifiers

PMID37510063
PMCPMC10377759
OpenAlexW4383818021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.