Evidence map›Paper›PMID 29250194›Full record

ArticleOncology letters2017

Rho GDP dissociation inhibitor-β in renal cell carcinoma.

Christoph-Alexander von Klot, Natalia Dubrowinskaja, Inga Peters, Jörg Hennenlotter, Axel S Merseburger, Arnulf Stenzl, Markus A Kuczyk, Jürgen Serth

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Systematic investigation of biomarker-like role of ARHGDIB in breast cancer.Cancer biomarkers : section A of Disease markers · 2020
    Article
  3. Antibodies against ARHGDIB are associated with long-term kidney graft loss.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019
    Article
  4. Loss ofCancer management and research · 2019
    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

8 authors at 3 institutions in 1 country.

Christoph-Alexander von KlotDepartment of Urology and Urological Oncology, Hannover University Medical School, D-30625 Hannover, Germany.
Natalia DubrowinskajaDepartment of Urology and Urological Oncology, Hannover University Medical School, D-30625 Hannover, Germany.
Inga PetersDepartment of Urology and Urological Oncology, Hannover University Medical School, D-30625 Hannover, Germany.
Jörg HennenlotterDepartment of Urology, Eberhard Karls University of Tübingen, D-72076 Tübingen, Germany.
Axel S MerseburgerDepartment of Urology, Campus Lübeck University Hospital Schleswig-Holstein, D-23538 Lübeck, Germany.
Arnulf StenzlDepartment of Urology, Campus Lübeck University Hospital Schleswig-Holstein, D-23538 Lübeck, Germany.
Markus A KuczykDepartment of Urology and Urological Oncology, Hannover University Medical School, D-30625 Hannover, Germany.
Jürgen SerthDepartment of Urology and Urological Oncology, Hannover University Medical School, D-30625 Hannover, Germany.
Medizinische Hochschule Hannover · DEUniversity of Lübeck · DETH Bingen University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rho GDP dissociation inhibitor-β (ARHGDIB) is an important mediator of cell signaling. The expression of ARHGDIB is associated with tumor growth and metastasis in a variety of non-genitourinary cancers; however, the role of ARHGDIB in renal cell carcinoma (RCC) has not yet been evaluated. In the present study, tissue samples from 105 patients undergoing surgery for RCC were obtained. The expression levels of ARHGDIB mRNA in normal kidney tissues and in corresponding cancer tissues were analyzed by reverse transcription-quantitative polymerase chain reaction. Differences in relative mRNA expression levels were assessed using paired two-sample t-tests. Expression levels were analyzed with respect to various clinical parameters, and associations were tested using a bivariate logistic regression model. Relative mRNA expression levels in healthy renal tissues compared with cancerous tissues from the same kidney were assessed using paired t-tests. Expression data were compared with respect to survival data by the Kaplan-Meier method/Cox regression analysis. The results revealed that the relative mRNA expression level of ARHGDIB was significantly higher in the lysates of RCC tumor tissues (P<0.001) when compared with healthy renal tissues in a paired analysis of 74 samples; this finding was consistent with the analysis of ARHGDIB mRNA expression levels in all RCC samples, as well as in the subset of clear cell RCC (ccRCC) samples. The relative mRNA expression level of ARHGDIB was also increased in ccRCC tissues compared with papillary RCC tissues (P<0.001). On univariate Cox regression analysis, recurrence-free survival (RFS) was significantly associated with metastasis, locally advanced disease and tumor grade (P=0.018, P=0.002 and P<0.001, respectively). Furthermore, in the subgroup of patients with ccRCC, increased ARHGDIB mRNA expression was significantly associated with a longer RFS time (P=0.001). In summary, the results indicate that ARHGDIB mRNA is highly expressed in RCC tissues in general and is positively associated with RFS in ccRCC. As ARHGDIB has a known effect on angiogenesis and immune modulation, the present study suggests that the functional analysis of ARHGDIB should be performed in the future.

Indexed as

biomarkerprognosisrenal cell carcinomaRho GDP dissociation inhibitor-β

Identifiers

PMID29250194
PMCPMC5727609
OpenAlexW2766691863

What OpenQuestion holds

Textmetadata
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.