Evidence map›Paper›PMID 33505467›Full record

ArticleJournal of oncology2021

Dynamic Changes of Urine Proteome in Rat Models Inoculated with Two Different Hepatoma Cell Lines.

Yameng Zhang, Yufei Gao, Jing Wei, Youhe Gao

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 1 country.

Yameng ZhangGene Engineering Drug and Biotechnology Beijing Key Laboratory, Department of Biochemistry and Molecular Biology, College of Life Sciences, Beijing Normal University, Beijing 100875, China.ORCID https://orcid.org/0000-0002-3643-093X
Yufei GaoCollege of Information Science and Technology, Beijing Normal University, Beijing 100875, China.ORCID https://orcid.org/0000-0002-2356-0700
Jing WeiGene Engineering Drug and Biotechnology Beijing Key Laboratory, Department of Biochemistry and Molecular Biology, College of Life Sciences, Beijing Normal University, Beijing 100875, China.ORCID https://orcid.org/0000-0001-7457-0688
Youhe GaoGene Engineering Drug and Biotechnology Beijing Key Laboratory, Department of Biochemistry and Molecular Biology, College of Life Sciences, Beijing Normal University, Beijing 100875, China.ORCID https://orcid.org/0000-0001-7159-2558
Beijing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urine can accumulate systemic changes with no mechanism to be stable, which may reflect early changes associated with physiological or pathophysiological processes. To explore the potential value of the urine proteome, two rat models were established by intrahepatic injection of two different hepatoma cell lines, CBRH-7919 and RH-35. Urine samples were collected and analyzed. Compared with controls, the two models exhibited different numbers and types of differentially expressed urinary proteins despite having similar histological results. The results were compared with the urine proteome of a Walker 256 (W-256) liver tumor model. The differentially expressed urinary protein patterns in the three models were different. These findings demonstrate that changes in the urine proteomes of the two models can be detected at early stages and that the patterns of differentially expressed urinary proteins can differ even when the histological results are similar. Urinary proteins have potential utility for distinguishing among different tumor cells grown in the same organ.

Identifiers

PMID33505467
PMCPMC7810548
OpenAlexW3120941638

What OpenQuestion holds

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LicenceCC BY
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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.