1.Clinical value of examination of p16 protein in lung lesions through fibrobronchoscopic brushing and biopsy
Xiaochuan YIN ; Zhengqing XIAO ; Gengyun LIU ; Al ET
China Oncology 2001;0(02):-
Purpose:To study the clinical value of preoperative examination of P16 protein , immunohistochemical method was used to examinate the expression of the protein in tissues obtained through the fibrobronchoscopic brushing and biopsy.Methods:All of the patients who found lesions of lung by radiology were gotten the fibrobronchoscopy to get the spicements. All of the specimens were examinted for expression of P16 protein. The expressions of P16 protein in lung carcinoma group , benign lung disease group and blind biopsy group were compared.Results:The positive expression rates of p16 protein of lung carcinoma group , lung benign disease group and blind biopsy groups are : 55.0%, 95.0% and 62.5%. Conclusions:Difference was found between malignant and benign lung diseases.Examination of p16 protein expression for blind biopsy groups has some values in diagnosis of lung carcinoma.
2.Expression and clinical significance of pro-gastrin-releasing peptide and carbohydrate antigen 72-4 in patients with gastric cancer
Li LI ; Hai MENG ; Guangchun ZHAO ; Zhengqing YU ; Xiaodong YIN
Journal of International Oncology 2018;45(5):273-276
Objective To explore the expressions and clinical values of pro-gastrin-releasing peptide(ProGRP) and carbohydrate antigen 72-4 (CA72-4) in patients with gastric cancer.Methods Ninety patients with gastric cancer and fifty healthy subjects were selected from January 2014 to December 2016 in our hospital.Serum levels of ProGRP and CA72-4 were detected by electrochemiluminescence.The relationships between ProGRP and clinicopathological characteristics,postoperative recurrence and CA72-4 were analyzed.The diagnostic values of ProGRP and CA72-4 in gastric cancer were analyzed by receiver operating characteristic (ROC) curve.Results The expressions of ProGRP and CA72-4 in patients with gastric cancer were (249.3 + 28.9) pg/ml and (148.8 + 33.5) U/ml respectively,which were significantly higher than those of healthy subjects [(14.4 ± 7.6) pg/ml and (3.8 ± 1.4) U/ml],and the differences were statistically sigificant (t =56.320,P < 0.001;t =30.504,P < 0.001).The expression of ProGRP in TNM stage Ⅲ-Ⅳ [(269.1 ±30.9)pg/ml] was obviously higher than that in stage Ⅰ-Ⅱ [(198.5 +23.9)pg/ml],with a significant difference (t =11.200,P < 0.001).The expression of ProGRP in patients with lymph node metastasis [(259.9 ±31.4)pg/ml] was significantly higher than that in patients without lymph node metastasis [(190.3 ±26.8)pg/ml],with a significant difference (t =9.500,P < 0.001).The expression of ProGRP in patients with postoperative recurrence after one year [(181.3 ± 21.7)pg/ml] was higer than that in patients without postoperative recurrence [(26.1 ± 12.8)pg/ml],with a significant difference (t =31.830,P < 0.001).There was a positive correlation between serum ProGRP and CA72-4 (r =0.792,P =0.012).According to the ROC curve,the cut-off point of ProGRP was 23.6 pg/ml,and the diagnostic sensitivity was 80.0%,the specificity was 70.0%.The cut-off point of CA72-4 was 11.2 U/ml,and the diagnostic sensitivity was 60.0%,the specificity was 89.0%.The sensitivity and specificity diagnostic value of combined detection were 89.7% and 94.8%,better than those of individual detection (x2 =6.028,P =0.009;x2 =4.675,P =0.031).Conclusion ProGRP and CA72-4 are highly expressed in the serum of gastric cancer patients,with a positive correlation.The combined detection of ProGRP and CA72-4 can improve the diagnostic sensitivity and specificity.ProGRP is significantly correlated with tumor stage,lymph node metastasis and prognosis,which may be a mew target for prevention and treatment of gastric cancer.
4.Status quo of global bioindustry and its policy implications.
Jingyu BAI ; Xiaofeng LIN ; Zhengqing YIN
Chinese Journal of Biotechnology 2020;36(8):1528-1535
The advent of the bioeconomy era is triggers a new wave of technology and industrial revolution. Bioeconomy has become the commanding heights that major developed countries and emerging economies try to seize. This paper analyzes the spatiotemporal characteristics of global bioindustry development from four perspectives: biomedical industry, genetically modified crop planting industry, bioenergy industry, and bio-based chemical industry. Then it summarizes the main characteristics of the development of the global bioindustry, and further put forward policy recommendations for the bottleneck problems in the development of China's bioindustry, which can guide the future development of China's bioeconomy.
5.Assessment and empirical analysis of the competitiveness of bioindustry in various regions of China.
Zhengqing YIN ; Jingyu BAI ; Xiaofeng LIN
Chinese Journal of Biotechnology 2020;36(10):2216-2225
The era of bioeconomy has ushered in a new wave of technological and industrial revolution for mankind. The strategic deployment for the bioindustry in China has achieved remarkable results. However, there are still problems such as unbalanced regional development in the process of bioindustry development. In order to comprehensively assess the current situation of the competitiveness of the bioindustry in various regions of China, the assessment indicator system of the overall competitiveness of the bioindustry is constructed from the perspective of the four sub-industries of biomedicine, bioenergy, bioagriculture and bio-based industry. The weight of each assessment indicator is determined by the analytic hierarchy process. According to geographical administrative division and regional economic relations, an empirical analysis of the comprehensive competitiveness score of the bioindustry in seven regions of China is carried out. The assessment results show that the competition of bioindustry in various regions of China presents a gradient distribution in space. In view of this, relevant policy recommendations are put forward from four aspects: (1) implementing the strategy of rural revitalization, (2) implementing the strategy of regional coordinated development, (3) deepening the supply-side structural reform for the bioindustry, and (4) establishing regional unified information collaboration network system.
Biotechnology/statistics & numerical data*
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China
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Industry