ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2014
Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity.
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 3 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Mass spectrometry-based serum and plasma peptidome profiling for prediction of treatment outcome in patients with solid malignancies.The oncologist · 2014Pooled it
- A Review: Proteomics in Nasopharyngeal Carcinoma.International journal of molecular sciences · 2015Review
- Omics-based identification of biomarkers for nasopharyngeal carcinoma.Disease markers · 2015Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe research is endeavored to establish a serum protein fingerprint model for predicting radiosensitivity of nasopharyngeal carcinoma through the analysis of the serum expressed proteins of the pre- and post-treatment nasopharyngeal carcinoma patients treated with radiotherapy.
methodsSurface-enhanced laser desorption ionization-time of flight-mass spectrometry and CM-10 protein chip were used to detect the serum proteomic patterns of 50 nasopharyngeal carcinoma patients with different radiosensitivity. Thirty-eight of the 50 patients after the treatment were also studied. Biomarker Wizard 3.01 and Biomarker Pattern 5.01 were used in combination to analyze the data and to develop predicting models.
resultsAt the molecular weight range of 2,000-20,000, the software identified an average of 83 mass peaks between radiation sensitive group and radiation resistant group. 11 protein peaks were significantly different. Of the 83 mass peaks, 4 mass peaks (mass/charge ratio [m/z] 2,575, 3,942, 6,117 and 6,778) were chosen automatically to construct a classification tree. The diagnostic accuracy was 78.0 %. M/z 6,117 and 6,778 of the radiation sensitive group after the treatment trended to those of the radiation resistant group.
conclusionsThe technology of surface-enhanced laser desorption ionization-time of flight-mass spectrometry can be used to screen and identify differentially expressed proteins associated with different radiosensitivity in nasopharyngeal cancer. It should be a very useful tool for predicting radiosensitivity of nasopharyngeal carcinoma.
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