Evidence map›Paper›PMID 24469726›Full record

ArticleMolecular biology reports2014

Serum differential protein identification of Xinjiang Kazakh esophageal cancer patients based on the two-dimensional liquid-phase chromatography and LTQ MS.

Cui Li, Guo Xia, Zhang Jianqing, Yang Mei, Bai Ge, Zhang Li

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Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. iTRAQ-based quantitative proteomic analysis of esophageal squamous cell carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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4 · The record

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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

6 authors at 3 institutions in 2 countries.

Cui LiInternal Medicine VIP of the First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi District, Urumqi, 830011, Xinjiang, China.
Guo Xia
Zhang Jianqing
Yang Mei
Bai Ge
Zhang Li
First Affiliated Hospital of Xinjiang Medical University · CNMRC Laboratory of Molecular Biology · GBXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the impact of chemo-radiotherapy on serum protein expression of the esophageal cancer patients and discover potential biomarkers by detecting serum proteins mass spectrometry of the healthy Kazakh people in Xinjiang as well as the patients before and after their chemo-radiotherapy. In order to separate and compare the three serum samples (the healthy group's, the patients' before and after chemo-radiotherapy) with two-dimensional protein liquid chromatography system (Proteome LabTM PF-2D), then detect the differential protein spots with linear trap quadruple mass spectrometer (LTQ MS/MS). (1) The Kazakh esophageal cancer patients got 21 expressed protein spots peaks with significant difference after chemo-radiotherapy compared with before; before the treatment there were 10 different expressed protein spots compared with the healthy group, and after it there were four peaks in the expression of protein spots compared with the healthy group. (2) After LTQ mass spectrometric detection, 22 proteins were up-regulated in serum samples of the healthy group, 22 were up-regulated of the patients before medical treatment and 5 were up-regulated after chemo-radiotherapy. (3) 8 proteins including APOA1 can be served as serum markers in Kazakh esophageal cancer diagnosis, and proteins like CLU can be served as serum markers in judging the resistance and sensitivity towards chemo-radiotherapy. (4) The abnormal expressions of APOC2, APOC3, Antithrombin-III in esophageal cancer were discovered for the first time. Specific protein spots related to Xinjiang Kazakh esophageal cancer diagnosis and chemo-radiotherapy can be identified in the serum, which will probably become a maker in Kazakh esophageal cancer diagnosis and therapeutic evaluation.

Indexed as

ProteomeProteomicsBlood ProteinsChromatography, LiquidEsophageal NeoplasmsFemaleHumansMaleTandem Mass SpectrometryBlood ProteinsProteome

Identifiers

PMID24469726
OpenAlexW1988868537

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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.