Evidence map›Paper›PMID 27022288›Full record

ArticleOncoTargets and therapy2016

Metabolism-related enzyme alterations identified by proteomic analysis in human renal cell carcinoma.

Zejun Lu, Yuqin Yao, Qi Song, Jinliang Yang, Xiangfei Zhao, Ping Yang, Jingbo Kang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 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

7 authors at 3 institutions in 2 countries.

Zejun LuDepartment of Radiation Oncology, Naval General Hospital of People's Liberation Army, Beijing, Chengdu, People's Republic of China.
Yuqin YaoResearch Center for Public Health and Preventive Medicine, West China School of Public Health/No 4 West China Teaching Hospital, Sichuan University, Chengdu, Chengdu, People's Republic of China.
Qi SongDepartment of Gynaecology and Obstetrics, The General Hospital of Chinese People's Armed Police Force, Beijing, Chengdu, People's Republic of China.
Jinliang YangState Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xiangfei ZhaoDepartment of Radiation Oncology, Naval General Hospital of People's Liberation Army, Beijing, Chengdu, People's Republic of China.
Ping YangDepartment of Radiation Oncology, Naval General Hospital of People's Liberation Army, Beijing, Chengdu, People's Republic of China.
Jingbo KangDepartment of Radiation Oncology, Naval General Hospital of People's Liberation Army, Beijing, Chengdu, People's Republic of China.
Chinese General Hospital College of Nursing and Liberal Arts · PHChinese People's Armed Police General Hospital · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The renal cell carcinoma (RCC) is one of the most common types of kidney neoplasia in Western countries; it is relatively resistant to conventional chemotherapy and radiotherapy. Metabolic disorders have a profound effect on the degree of malignancy and treatment resistance of the tumor. However, the molecular characteristics related to impaired metabolism leading to the initiation of RCC are still not very clear. In this study, two-dimensional electrophoresis (2-DE) and mass spectra (MS) technologies were utilized to identify the proteins involved in energy metabolism of RCC. A total of 73 proteins that were differentially expressed in conventional RCC, in comparison with the corresponding normal kidney tissues, were identified. Bioinformatics analysis has shown that these proteins are involved in glycolysis, urea cycle, and the metabolic pathways of pyruvate, propanoate, and arginine/proline. In addition, some were also involved in the signaling network of p53 and FAS. These results provide some clues for new therapeutic targets and treatment strategies of RCC.

Indexed as

metabolismproteomerenal cell cancertwo-dimensional electrophoresis

Identifiers

PMID27022288
PMCPMC4790526
OpenAlexW2294453246

What OpenQuestion holds

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LicenceCC BY-NC
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.