Evidence map›Paper›PMID 23907289›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2014

Proteomic analysis of pleural effusion from lung adenocarcinoma patients by shotgun strategy.

Shu-Hong Sheng, Hui-Li Zhu

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
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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

2 authors at 1 institution in 1 country.

Shu-Hong ShengDepartment of Respiratory Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China.
Hui-Li Zhu
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo construct a protein catalogue of malignant pleural effusion from lung adenocarcinoma patients and to screen the potential candidates of biomarkers for diagnostic value in human lung adenocarcinoma.

methodFive malignant pleural effusion samples of lung adenocarcinoma patients were collected from January 2009 to September. A composite sample was analyzed using shotgun strategy. Pleural effusion samples were separated by means of SDS-PAGE. Proteomic analysis was performed by 1D-LC-MS/MS, and then the proteins were identified using SEQUEST software and protein database search.

resultsAmong 230 unique proteins, 123 proteins were identified with higher confidence levels (at least two unique peptide sequences matched). Most of these proteins have been reported in plasma. However, there are 7 proteins, including JUP protein, suprabasin, annexin A2, transforming growth factor-beta-induced protein ig-h3 (βig-h3), V-set and immunoglobulin domain-containing protein 4 precursor, ifapsoriasin 2 and actin, cytoplasmic 1 have not been reported in serum.

conclusionsSeven proteins may represent potential candidates of biomarkers. Annexin A2 is of special interest since it may play a role in the regulation of intercellular adhesion and cell proliferation.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAgedBiomarkers, TumorElectrophoresis, Polyacrylamide GelFemaleHumansLung NeoplasmsMaleMiddle AgedPleural Effusion, MalignantProteomeProteomicsBiomarkers, TumorProteome

Identifiers

PMID23907289
OpenAlexW1990425274

What OpenQuestion holds

Textmetadata
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.