Evidence map›Paper›PMID 25973038›Full record

ArticleInternational journal of clinical and experimental pathology2015

Identification of potential plasma biomarkers for esophageal squamous cell carcinoma by a proteomic method.

Jia Zhao, Yu-Xia Fan, Yang Yang, Dong-Lei Liu, Kai Wu, Feng-Biao Wen, Chun-Yang Zhang, Deng-Yan Zhu, Song Zhao

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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  9. LRG1: an emerging player in disease pathogenesis.Journal of biomedical science · 2022
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  10. Article
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  13. Impact of Fetuin-A (AHSG) on Tumor Progression and Type 2 Diabetes.International journal of molecular sciences · 2018
    Review
  14. Article
  15. Detection and Identification of Serum Peptides Biomarker in Papillary Thyroid Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  16. Article
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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

9 authors at 1 institution in 1 country.

Jia ZhaoDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Yu-Xia FanDepartment of Thyroid Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Yang YangDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Dong-Lei LiuDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Kai WuDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Feng-Biao WenDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Chun-Yang ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Deng-Yan ZhuDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
Song ZhaoDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou 450052, Henan, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among malignant tumors, the mortality rate of esophageal squamous cell carcinoma (ESCC) ranks sixth in the world. Late-stage diagnosis of ESCC increases the mortality. Therefore, more effective biomarkers for early diagnosis of ESCC are necessary. Unfortunately, appropriate biomarkers for clinical diagnosis and prognosis have not been identified yet. However, recent progresses in quantitative proteomics have offered opportunities to identify plasma proteins as biomarkers for ESCC. In the present study, plasma samples were analyzed by differential in-gel electrophoresis (DIGE) and differentially expressed proteins were identified by matrix assisted laser desorption ionization-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF MS). A total of 31 proteins representing 12 unique gene products were identified, in which 16 proteins were up-regulated and 15 down-regulated in tumors. The up-regulated proteins were alpha-2-HS-glycoprotein (AHSG), leucine-rich alpha-2-glycoprotein (LRG), zinc-alpha-2-glycoprotein, alpha-1-antichymotrypsin, complement factor I and complement C4-B, whereas the down-regulated proteins were serum albumin, Ig alpha-2 chain C region, alpha-1-antitrypsin, fibrinogen gamma chain, haptoglobin and hemoglobin subunit alpha. Among all the differentially expressed proteins, AHSG and LRG were validated by ELISA. The results were consistent with the data from the proteomics results, further suggesting that AHSG and LRG may be employed as potential biomarkers for the early diagnosis of ESCC. In summary, this study was the first time to use DIGE combined MALDI-TOF/TOF platform to identify the potential plasma biomarkers for ESCC. The plasma AHSG and LRG showed great potential for ESCC screening.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellElectrophoresis, Gel, Two-DimensionalEnzyme-Linked Immunosorbent AssayEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaHumansProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUp-RegulationBiomarkers, Tumorbiomarkersdifferential in-gel electrophoresisEsophageal squamous cell carcinomaMALDI-TOF/TOFplasmaproteomics

Identifiers

PMID25973038
PMCPMC4396278
OpenAlexW375449254

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.