Evidence map›Paper›PMID 24740010›Full record

ArticlePloS one2014

Proteomics approaches for identification of tumor relevant protein targets in pulmonary squamous cell carcinoma by 2D-DIGE-MS.

Hao Lihong, Gong Linlin, Guo Yiping, Song Yang, Qi Xiaoyu, Guan Zhuzhu, Yang Xiaohan, Zhou Xin, Xue Liyan, Shao Shujuan

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
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  7. Review
  8. Article
  9. Potential predictive plasma biomarkers for cervical cancer by 2D-DIGE proteomics and Ingenuity Pathway Analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Hao LihongKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Gong LinlinKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Guo YipingKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Song YangKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Qi XiaoyuKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Guan ZhuzhuKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Yang XiaohanKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Zhou XinKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Xue LiyanDepartment of Pathology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, P.R. China.
Shao ShujuanKey Laboratory of Proteomics, Dalian Medical University, Dalian, Liaoning Province, P.R. China.
Dalian Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potential markers for progression of pulmonary squamous cell carcinoma (SCC) were identified by examining samples of lung SCC and adjacent normal tissues using a combination of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE), matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), and electrospray ionization quadrupole-time of flight mass spectrometry (ESI-Q-TOF). The PANTHER System was used for gel image based quantification and statistical analysis. An analysis of proteomic data revealed that 323 protein spots showed significantly different levels of expression (P ≤ 0.05) in lung SCC tissue compared to expression in normal lung tissue. A further analysis of these protein spots by MALDI-TOF-MS identified 81 different proteins. A systems biology approach was used to map these proteins to major pathways involved in numerous cellular processes, including localization, transport, cellular component organization, apoptosis, and reproduction. Additionally, the expression of several proteins in lung SCC and normal tissues was examined using immunohistochemistry and western blot. The functions of individual proteins are being further investigated and validated, and the results might provide new insights into the mechanism of lung SCC progression, potentially leading to the design of novel diagnostic and therapeutic strategies.

Indexed as

Gene Expression Regulation, NeoplasticProteomicsAdultAgedAmino Acid SequenceCarcinoma, Squamous CellElectrophoresis, Gel, Two-DimensionalFemaleGene Expression ProfilingHumansLung NeoplasmsMaleMetabolic Networks and PathwaysMiddle AgedMolecular Sequence AnnotationMolecular Sequence DataNeoplasm Proteins

Identifiers

PMID24740010
PMCPMC3989308
OpenAlexW2007154778

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.