Evidence map›Paper›PMID 26500709›Full record

ReviewThe EPMA journal2015

Molecular and immunologic markers of kidney cancer-potential applications in predictive, preventive and personalized medicine.

Amanda Mickley, Olga Kovaleva, Julia Kzhyshkowska, Alexei Gratchev

Open access · hybridAbstract readReview
In one paragraph

Review in The EPMA journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Amanda MickleyInstitute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Ruprecht-Karls University of Heidelberg, Mannheim, Germany.
Olga KovalevaBlokhin Cancer Research Center, Moscow, Russia.
Julia KzhyshkowskaInstitute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Ruprecht-Karls University of Heidelberg, Mannheim, Germany ; Red Cross Blood Service Baden-Württemberg-Hessen, Mannheim, Germany ; Laboratory for Translational Cellular and Molecular Biomedicine, Tomsk State University, Tomsk, Russia.
Alexei GratchevBlokhin Cancer Research Center, Moscow, Russia ; Laboratory for Translational Cellular and Molecular Biomedicine, Tomsk State University, Tomsk, Russia ; Laboratory of the Tumour Stromal Cells Biology, Institute of Carcinogenesis, Blokhin Cancer Research Center, Kashirskoye Shosse 24, Moscow, Russia.
Russian Cancer Research Center NN Blokhin · RUUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney cancer is one of the deadliest malignancies due to frequent late diagnosis (33 % or renal cell carcinoma are metastatic at diagnosis) and poor treatment options. There are two major subtypes of kidney cancer: renal cell carcinoma (RCC) and renal pelvis carcinoma. The risk factors for RCC, accounting for more than 90 % of all kidney cancers, are smoking, obesity, hypertension, misuse of pain medication, and some genetic diseases. The most common molecular markers of kidney cancer include mutations and epigenetic inactivation of von Hippel-Lindau (VHL) gene, genes of vascular endothelial growth factor (VEGF) pathway, and carbonic anhydrase IX (CIAX). The role of epigenetic pathways, including DNA methylation and chromatin structure remodeling, was also demonstrated. Immunologic properties of RCC enable this type of tumor to escape immune response effectively. An important role in this process is played by tumor-associated macrophages that demonstrate mixed M1/M2 phenotype. In this review, we discuss molecular and cellular aspects for RCC development and current state of knowledge allowing personalized approaches for diagnostics and prognostic prediction of this disease. A set of macrophage markers is suggested for the analysis of the association of macrophage phenotype and disease prognosis.

Indexed as

Biomarker panelDisease prognosisEpigeneticsImmune responseKidneyMetastatic diseaseMolecular targetMutationPredictive, preventive and personalized medicineRenal cell carcinomaTumor-associated macrophage

Identifiers

PMID26500709
PMCPMC4617448
OpenAlexW2129519175

What Socratic 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 Socratic graph.