Evidence map›Paper›PMID 31069013›Full record

ArticleOncotarget2019

Comparative proteomic analysis of human serum before and after liver transplantation using quantitative proteomics.

Ruohan Zhang, Minglin Ou, Yue Zhang, Qiang Yan, Huaizhou Chen, Liusheng Lai, Ying Li, Feilong Xu, Donge Tang, Xuyong Sun and 3 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

13 authors at 2 institutions in 1 country.

Ruohan ZhangGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Minglin OuGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Yue ZhangGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Qiang YanGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Huaizhou ChenGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Liusheng LaiGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Ying LiGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Feilong XuGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
Donge TangClinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Xuyong SunGuangxi Key Laboratory for Transplantation Medicine Guangxi, Institute of Transplant Medicine, Department of Organ Transplantation in Guangzhou Military Region, 923st Hospital, Nannning 530021, P.R. China.
Jianhui DongGuangxi Key Laboratory for Transplantation Medicine Guangxi, Institute of Transplant Medicine, Department of Organ Transplantation in Guangzhou Military Region, 923st Hospital, Nannning 530021, P.R. China.
Yong DaiClinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Weiguo SuiGuangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China.
181st Hospital of Chinese People's Liberation Army · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is the second leading cause of cancer mortality worldwide. Safer and more effective diagnostic methods for liver cancer are desirable, and biomarkers represent a potentially alternative method for diagnosis. The present study was designed to identify liver cancer biomarkers. We quantified the changes in serum protein levels between liver transplantation and healthy (control) females using isobaric tags for relative and absolute quantitation (iTRAQ) as well as proteomic analysis. A total of 1399 proteins were identified; of these, three proteins showed significantly different concentrations between the before transplantation group and the control group. These proteins may thus be relevant to liver cancer and constitute potential liver cancer biomarkers.

Indexed as

iTRAQliver transplantationpathwayprotein markersproteomics

Identifiers

PMID31069013
PMCPMC6493459
OpenAlexW2927804551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.