Evidence map›Paper›PMID 27145374›Full record

ArticleOncotarget2016

Identification of nasopharyngeal carcinoma metastasis-related biomarkers by iTRAQ combined with 2D-LC-MS/MS.

Zhen Chen, Lu Long, Kun Wang, Facai Cui, Lepan Zhu, Ya Tao, Qiong Wu, Manlin Xiang, Yunlai Liang, Shiyang Qiu and 2 more

Open access · diamondAbstract readValidation Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Label-free quantitative mass spectrometry from formalin-fixed paraffin-embedded samples of nasopharyngeal carcinoma: Preliminary results from a non-endemic European cohort of patients.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
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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

12 authors at 2 institutions in 1 country.

Zhen ChenDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Lu LongDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Kun WangDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Facai CuiDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Lepan ZhuDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Ya TaoDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Qiong WuDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Manlin XiangDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Yunlai LiangDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Shiyang QiuDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Zhiqiang XiaoThe Higher Educational Key Laboratory for Cancer Proteomics and Translational Medicine of Hunan Province, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Bin YiDepartment of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify metastasis-related proteins in nasopharyngeal carcinoma (NPC), iTRAQ-tagging combined with 2D LC-MS/MS analysis was performed to identify the differentially expressed proteins (DEPs) in high metastatic NPC 5-8F cells and non-metastatic NPC 6-10B cells, and qRT-PCR and Western blotting were used to confirm DEPs. As a result, 101 DEPs were identified by proteomics, and 12 DEPs were selectively validated. We further detected expression of three DEPs (RAN, SQSTM1 and TRIM29) in a cohort of NPC tissue specimens to assess their value as NPC metastatic biomarkers, and found that combination of RAN, SQSTM1 and TRIM29 could discriminate metastatic NPC from non-metastatic NPC with a sensitivity of 88% and a specificity of 91%. TRIM29 and RAN expression level were closely correlated with lymph node and distant metastasis and clinical stage (P <0.05) in NPC patients. Finally, a combination of loss-of-function and gain-of-function approaches was performed to determine the effects of TRIM29 on NPC cell proliferation, migration, invasion and metastasis. The results showed that TRIM29 knockdown significantly attenuated while TRIM29 overexpression promoted NPC cell in vitro proliferation, migration and invasion and in vivo metastasis. The present data first time show that SQSTM1, RAN and TRIM29 are novel potential biomarkers for predicting NPC metastasis, demonstrate that TRIM29 is a metastasis-promoted protein of NPC.

Indexed as

Chromatography, High Pressure LiquidTandem Mass SpectrometryBiomarkers, TumorCarcinomaCell Line, TumorCell MovementCell ProliferationDNA-Binding ProteinsFemaleHigh-Throughput Screening AssaysHumansLymphatic MetastasisMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsBiomarkers, TumorDNA-Binding Proteinsran GTP-Binding ProteinRAN protein, humanSequestosome-1 ProteinSQSTM1 protein, humanTranscription FactorsTRIM29 protein, humaniTRAQmetastasisnasopharyngeal carcinomaRANSQSTM1TRIM29

Identifiers

PMID27145374
PMCPMC5085135
OpenAlexW2344078806

What OpenQuestion holds

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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.