Evidence map›Paper›PMID 39000466›Full record

ArticleInternational journal of molecular sciences2024

Lack of VEGFA/KDR Signaling in Conventional Renal Cell Carcinoma Explains the Low Efficacy of Target Therapy and Frequent Adverse Events.

Lehel Peterfi, Maria V Yusenko, Gyula Kovacs, Tamas Beothe

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lehel PeterfiDepartment of Urology, Medical School, University of Pecs, 7602 Pecs, Hungary.
Maria V YusenkoInstitute of Human Genetics, Ruhr-University, 44801 Bochum, Germany.ORCID 0000-0002-9014-6542
Gyula KovacsDepartment of Urology, Medical School, University of Pecs, 7602 Pecs, Hungary.
Tamas BeotheDepartment of Urology, Peterfy Sandor Hospital, 1076 Budapest, Hungary.ORCID 0009-0007-1682-7626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is acknowledged that conventional renal cell carcinoma (cRCC), which makes up 85% of renal malignancies, is a highly vascular tumor. Humanized monoclonal antibodies were developed to inhibit tumor neo-angiogenesis, which is driven by VEGFA/KDR signaling. The results largely met our expectations, and in several cases, adverse events occurred. Our study aimed to analyze the expression of VEGFA and its receptor KDR by immunohistochemistry in tissue multi-array containing 811 cRCC and find a correlation between VEGFA/KDR signaling and new vessel formation. None of the 811 cRCC displayed VEGFA-positive immunostaining. However, each glomerulus in normal kidney showed VEGFA-positive endothelial cells. KDR expression in endothelial meshwork was found in only 9% of cRCC, whereas 2% of the cRCC displayed positive KDR reaction in the cytoplasm of tumor cells. Our results disclose the involvement of VEGFA/KDR signaling in the neo-vascularization of cRCC and explain the frequent resistance to drugs targeting the VEGFA/KDR signaling and the high frequency of adverse events.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsSignal TransductionVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2AdultAgedFemaleHumansMaleMiddle AgedMolecular Targeted TherapyNeovascularization, PathologicKDR protein, humanVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2VEGFA protein, humanadverse eventsimmunohistochemistryKDRrenal cell carcinomaVEGFA

Identifiers

PMID39000466
PMCPMC11242259

What Socratic 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 Socratic graph.