70 research outputs found
Evaluation of local and circulating osteopontin in malignant and benign primary bone tumors
Purpose: The development of novel and efficient biomarkers for primary bone cancers is of grave importance. Methods: The expression pattern of osteopontin (OPN) was investigated in the 153 patients with benign (n = 72) and malignant (n = 81) primary bone cancers. Both local and circulating OPN mRNA expression levels and their protein concentration in serum and tumor site were assessed using real-time qRT-PCR, ELISA, and immunohistochemistry techniques, respectively. As a control, 29 healthy individuals were considered. The number of 153 tumor tissue specimens and the 153 paired margins were taken on surgical resection from the patients. 153 blood samples were also drained from all participants, then peripheral blood mononuclear cells (PBMC) and sera were separated. Results: The mean mRNA expression was significantly higher in all of the cancerous tissues than the paired margins and the PBMC of the patients than the controls. Consistently, the protein concentrations of OPN in serum and tumor tissues were significantly higher in the patients. Furthermore, the malignant cases had significantly elevated the mRNA levels and the protein compared to the benign cases. OPN could potentially differentiate the patients from the controls with 100 sensitivity and specificity in serum. Moreover, OPN could predict some of the malignant cases' clinicopathological features, including metastasis, recurrence, grade, and response to chemotherapy. Conclusions: In conclusion, OPN might be involved in the pathogenesis of primary bone tumors and can be considered as a potential biomarker to bone cancer diagnosis. © 202
Product–process matrix and complementarity approach
The relationship between different types of innovation is analysed from three different approaches. On the one hand, the distinctive view assumes that the determinants of each type of innovation are different and therefore there is no relationship between them. On the other hand, the integrative view considers that the different types of innovation are complementary. Finally, the product–process matrix framework suggests that the relationship between product innovation and process innovation is substitutive. Using data from Spain belonging to the Technological Innovation Panel (PITEC) for the years 2008, 2009, 2010, 2011 and 2012, we tested which of the three approaches is predominant. To perform the hypothesis test, we used the so-called complementarity approach. We find that there is no unique relation. The nature of the relationship depends on the types of innovation that interact. Our most significant finding is that the relationship between product innovation and process innovation is complementary. This finding contradicts the proposal of the product–process matrix framework. Consequently, the joint implementation of both types of innovation generates a greater impact on the performance of a company than the sum of their separate implementation
Application of NDE to Aerospace Coatings
Peer reviewed: YesNRC publication: Ye
Using Multi-Frequency Eddy Current for the Characterization of Corrosion in Multi-layer Structures
NRC publication: Ye
Analysis of Pulsed Eddy Current Signals Using Time-Frequency Method
Peer reviewed: YesNRC publication: Ye
Corrosion Detection and Quantification Using Multi-Frequency Eddy Current
Peer reviewed: YesNRC publication: Ye
Quantitative Interpretation of Multi-frequency Eddy Current Data by Using Data Fusion Approaches
Peer reviewed: YesNRC publication: Ye
QUANTIFYING AGING AIRCRAFT HIDDEN CORROSION BY USING MULTI-MODAL NDI
Peer reviewed: YesNRC publication: Ye
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