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jiancheng Li
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P35 - Pathology - Genomics (ID 105)
- Event: WCLC 2020
- Type: Posters
- Track: Pathology, Molecular Pathology and Diagnostic Biomarkers
- Presentations: 1
- Moderators:
- Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
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P35.06 - The Biomarkers of Radiation Pneumonia in NSCLC Were Based on Serum Proteomic Changes (ID 1171)
00:00 - 00:00 | Presenting Author(s): jiancheng Li
- Abstract
Introduction
Radiation pneumonia (RP) is a common complication of radiation oncology in NSCLC. Biomarkers are important to predict accurately radiation pneumonia, so as to develop individualized treatment plans and reduce complication. Biomarkers maybe change during radiotherapy. We detected patients' serum samples before or during radiotherapy in NSCLC and applied the quantitative analysis of proteomic to screen different expression proteins between with radiation pneumonia group and without radiation pneumonia group at different time points (0,third,sixth weeks during raiotherapy) .We further analysis to explore the related useful biomarkers of radiation pneumonia in NSCLC by new methods of proteomic.
Methods
28 patients with NSCLC by pathologically confirmed, who were primary treatment, were enrolled in this reasearch. All patients received intensity-modulated radiation therapy with a median dose of 63 Gy. Serum samples were taken before radiotherapy, 3 weeks and 6 weeks during radiotherapy. All patients were followed for at least six months after radiotherapy. 3 cases of pneumonia occurred in these 28 patients, 3 of which were more than grade 2 radioactive pneumonia. The serum of these 3 patients was the experimental group (RP group), and the other 23 patients' Serums of patients, who were the same sex, same pathological type, similar age, and clinical stage as the experimental group, were selected as the control group (group C) to form a longitudinal 3 × 3 pair. Differentially expressed proteins were identified using TMT labeling quantification and liquid chromatography-mass spectrometry, and analyzed by relevant bioinformatics analysis methods, including functional annotation of differentially expressed proteins, functional enrichment analysis, and protein interaction network analysis.
Results
A total of 812 quantifiable proteins were identified by mass spectrometry. The threshold of differential expression was 1.2 times and t-test p-value < 0.05 was the significant threshold. We found that the expressions of ZYX and FETUB were up-regulated in both the pre-radiotherapy group and the third week of radiotherapy group, and the ratios in the radiation pneumonia group and the non-pneumonia group were 1.40 and 1.687(pre-radiotherapy group) 、1.62 and 1.701(the third week of radiotherapy group), respectively.CSTA and CALML5 were down-regulated in both the pre-radiotherapy group and the radiotherapy group at week 6, with ratios of 0.67 and 0.584(pre-radiotherapy group) 0.644 and 0.528(radiotherapy group at week 6), respectively.The NNT of these three groups were all significantly lower expression, in the ratio of 0.296、0.314、0.238. In the pre-radiotherapy group,NNT、HPR and PZP were significantly lower, and their ratio were 0.296、0.377 and 0.376. Bioinformatics analysis further revealed that these proteins are mainly involved in binding、biological regulation、metabolic process、signal transduction process and participate in the KEGG pertussis signaling pathways.Through the STRING database retrieval find that FETUB interact with PZP , and PZP has a certain correlation with radiation pneumonia pathophysiological pathways reported,such as the TGF-β、 IL-1β、 IL-6、TNF and inflammatory reaction.
Conclusion
Proteomics showed that there were differentially expressed proteins in NSCLC before or during radiotherapy,some of which remained unchanged during radiotherapy and some of them had certain changes. Based on new proteomic method and protein interaction network diagram, we found that FETUB and PZP are the best candidate proteins biomarkers related to radiation pneumonitis,
