Mueller matrix imaging is emerging for the quantitative characterization of pathological microstructures and is especially sensitive to fibrous structures.Liver fibrosis is a characteristic of many types of chronic li...Mueller matrix imaging is emerging for the quantitative characterization of pathological microstructures and is especially sensitive to fibrous structures.Liver fibrosis is a characteristic of many types of chronic liver diseases.The clinical diagnosis of liver fibrosis requires time-consuming multiple staining processes that specifically target on fibrous structures.The staining proficiency of technicians and the subjective visualization of pathologists may bring inconsistency to clinical diagnosis.Mueller matrix imaging can reduce the multiple staining processes and provide quantitative diagnostic indicators to characterize liver fibrosis tissues.In this study,a fibersensitive polarization feature parameter(PFP)was derived through the forward sequential feature selection(SFS)and linear discriminant analysis(LDA)to target on the identification of fibrous structures.Then,the Pearson correlation coeffcients and the statistical T-tests between the fiber-sensitive PFP image textures and the liver fibrosis tissues were calculated.The results show the gray level run length matrix(GLRLM)-based run entropy that measures the heterogeneity of the PFP image was most correlated to the changes of liver fibrosis tissues at four stages with a Pearson correlation of 0.6919.The results also indicate the highest Pearson correlation of 0.9996 was achieved through the linear regression predictions of the combination of the PFP image textures.This study demonstrates the potential of deriving a fiber-sensitive PFP to reduce the multiple staining process and provide textures-based quantitative diagnostic indicators for the staging of liver fibrosis.展开更多
Early detection and intervention are key strategies to reduce mortality,increase longterm survival,and improve the therapeutic effects of hepatocellular carcinoma(HCC)patients.Herein,the isobaric tag for relative and ...Early detection and intervention are key strategies to reduce mortality,increase longterm survival,and improve the therapeutic effects of hepatocellular carcinoma(HCC)patients.Herein,the isobaric tag for relative and absolute quantitation(iTRAQ)-based quantitative proteomic strategy was used to study the secretomes in conditioned media from HCC cancerous tissues,surrounding noncancerous tissues,and distal noncancerous tissues to identify diagnostic and prognostic biomarkers for HCC.In total,22 and 49 dysregulated secretory proteins were identified in the cancerous and surrounding noncancerous tissues,respectively,compared with the distal noncancerous tissues.Among these proteins,carbonic anhydrase II(CA2)was identified to be significantly upregulated in the secretome of cancerous tissues;correspondingly,the serum concentrations of CA2 were remarkably increased in HCC patients compared with that in normal populations.Interestingly,a significant increase of serum CA2 in recurrent HCC patients after radical resection was also confirmed compared with HCC patients without recurrence,and the serum level of CA2 could act as an independent prognostic factor for time to recurrence and overall survival.Regarding the mechanism,the secreted CA2 enhances the migration and invasion of HCC cells by activating the epithelial mesenchymal transition pathway.Taken together,this study identified a novel biomarker for HCC diagnosis and prognosis,and provided a valuable resource of HCC secretome for investigating serological biomarkers.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)(Nos.11974206 and 61527826).
文摘Mueller matrix imaging is emerging for the quantitative characterization of pathological microstructures and is especially sensitive to fibrous structures.Liver fibrosis is a characteristic of many types of chronic liver diseases.The clinical diagnosis of liver fibrosis requires time-consuming multiple staining processes that specifically target on fibrous structures.The staining proficiency of technicians and the subjective visualization of pathologists may bring inconsistency to clinical diagnosis.Mueller matrix imaging can reduce the multiple staining processes and provide quantitative diagnostic indicators to characterize liver fibrosis tissues.In this study,a fibersensitive polarization feature parameter(PFP)was derived through the forward sequential feature selection(SFS)and linear discriminant analysis(LDA)to target on the identification of fibrous structures.Then,the Pearson correlation coeffcients and the statistical T-tests between the fiber-sensitive PFP image textures and the liver fibrosis tissues were calculated.The results show the gray level run length matrix(GLRLM)-based run entropy that measures the heterogeneity of the PFP image was most correlated to the changes of liver fibrosis tissues at four stages with a Pearson correlation of 0.6919.The results also indicate the highest Pearson correlation of 0.9996 was achieved through the linear regression predictions of the combination of the PFP image textures.This study demonstrates the potential of deriving a fiber-sensitive PFP to reduce the multiple staining process and provide textures-based quantitative diagnostic indicators for the staging of liver fibrosis.
基金supported by the National Natural Science Foundation of China(Grant Nos.81702910 and 81672376)the Educational Commission of Fujian Province,China(Grant No.2018B013)the Natural Science Foundation of Fujian Province,China(Grant Nos.2019J01298,2017J01159,and 2016J01417)
文摘Early detection and intervention are key strategies to reduce mortality,increase longterm survival,and improve the therapeutic effects of hepatocellular carcinoma(HCC)patients.Herein,the isobaric tag for relative and absolute quantitation(iTRAQ)-based quantitative proteomic strategy was used to study the secretomes in conditioned media from HCC cancerous tissues,surrounding noncancerous tissues,and distal noncancerous tissues to identify diagnostic and prognostic biomarkers for HCC.In total,22 and 49 dysregulated secretory proteins were identified in the cancerous and surrounding noncancerous tissues,respectively,compared with the distal noncancerous tissues.Among these proteins,carbonic anhydrase II(CA2)was identified to be significantly upregulated in the secretome of cancerous tissues;correspondingly,the serum concentrations of CA2 were remarkably increased in HCC patients compared with that in normal populations.Interestingly,a significant increase of serum CA2 in recurrent HCC patients after radical resection was also confirmed compared with HCC patients without recurrence,and the serum level of CA2 could act as an independent prognostic factor for time to recurrence and overall survival.Regarding the mechanism,the secreted CA2 enhances the migration and invasion of HCC cells by activating the epithelial mesenchymal transition pathway.Taken together,this study identified a novel biomarker for HCC diagnosis and prognosis,and provided a valuable resource of HCC secretome for investigating serological biomarkers.