Evidence map›Paper›PMID 38059172›Full record

ArticleInternational journal of clinical and experimental pathology2023

EHD2, a novel HIF target gene, is a promising biomarker in clear cell renal cell carcinoma.

Yufeng Chen, Song Xue, Jian Shi, Chunfeng He, Qingchuan Zhang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yufeng ChenDepartment of Urology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine Shanghai, China.
Song XueDepartment of Urology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine Shanghai, China.
Jian ShiDepartment of Urology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine Shanghai, China.
Chunfeng HeDepartment of Urology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine Shanghai, China.
Qingchuan ZhangDepartment of Urology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine Shanghai, China.
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of the present study was to determine the clinical value of a novel hypoxia-inducible factor (HIF) target EH domain-containing protein 2 (EHD2) for predicting the outcome of patients with clear cell renal cell carcinoma (ccRCC). MATERIALS AND

methodsGEPIA public database was searched to determine a possible association between HIF2Α and EHD protein family members, and kidney renal clear cell carcinoma data were used to find the expression profile of EHD proteins in ccRCC samples. A tissue microarray from 70 ccRCC samples was used for immunohistochemical analysis to determine the specific expression pattern of EHD2 in ccRCC samples. In addition, univariate and multivariate analyses were performed to assess the utility of EHD2 as an independent prognostic factor for ccRCC.

resultsEHD protein family members were all found to be significantly correlated with HIF2Α expression in ccRCC. However, EHD2 was the only protein that was observed to be overexpressed in ccRCC cancer tissues compared with normal tissues. EHD2 and HIF2Α mRNA expression levels were found to be higher in cancer tissues compared with those in adjacent normal tissue according to reverse transcription-quantitative PCR analysis. Among the 70 patients with ccRCC, EHD2 was overexpressed in 52.8% (37/70). Subsequently, EHD2 was found to be significantly associated with both overall survival (P=0.016) and disease-free survival (P=0.029). Furthermore, by multivariate analysis, EHD2 was an independent prognostic factor for patients with ccRCC.

conclusionEHD2 is a novel HIF target, based on a relatively large sample of EHD2 research in patients with ccRCC. Furthermore, our study provided evidence that EHD2 can serve as a promising biomarker for predicting ccRCC outcome.

Indexed as

ccRCCEHD2prognostic value

Identifiers

PMID38059172
PMCPMC10695750
OpenAlexW4389452773

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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.