Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to su...Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to suppress the formation of new vessels in tumors. In order to study the association between VEGI gene polymorphisms and breast cancer risk, a case-control study was conducted in Chinese Han women in Northeast China. Methods： Our study involved 708 female breast cancer patients and 685 healthy volunteers. Four SNPs of VEGI gene were analyzed through the polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method. The association between VEGI gene polymorphisms and breast cancer risk was analyzed in our study. The relation between VEGI gene variants and clinical features of breast cancer including lymph node （LN） metastasis, esl^ogen receptor （ER）, progestrogen receptor （PR）, tumor protein 53 （1953）, human epidermal growth factor receptor 2 （Her-2） and triple negative （ER-/PR-/Her-2-） status was analyzed as well. Results： We found that the CT genotype and T allele of rs6478106 were more frequent in patients than in controls. There was also a statistical difference in the distribution of Crs6478106Grs4263839 haplotype between patients and controls. In addition, SNP rs6478106 and rs4979462 were related with the Her-2 status. Conclusions： Our results suggest that VEGI gene variants may be related to the breast cancer risk and the clinical features of breast cancer in Chinese Han women in Northeast China.展开更多
Plants,as sessile in nature,are constantly confronted with diverse biotic and abiotic stresses throughout their life cycle in the changing environment.As a result,plants evolved root-shoot communications to optimize p...Plants,as sessile in nature,are constantly confronted with diverse biotic and abiotic stresses throughout their life cycle in the changing environment.As a result,plants evolved root-shoot communications to optimize plant growth and development,and regulate responses to environmental stresses.Here,we examined the roles of root-sourced cytokinin(CTK)response to heat stress in grafted cucumber seedlings.Cucumber plants grafted onto cucumber roots and bitter gourd(Momordica charantia)roots were exposed to heat to examine their heat tolerance by assessing the levels of photosynthetic capacity,CTK contents,chlorophyll-a/b-binding protein(Lhcb2),ribulose-1,5-bisphosphate carboxylase/oxygenase(Rubisco)and its activating enzyme(RCA)content,and the enzyme activity of Rubisco.Bitter gourd rootstock enhanced cucumber scions heat stress tolerance.This enhancement was positively correlated with a higher content of CTK in both leaf and root parts,chlorophyll contents,and Rubisco abundance and activity.In addition,the higher level of CTK and Rubisco content in bitter gourd grafted plants shoots than in cucumber self-gafted plants shoots were attributed to an increase in CTK transport from roots in grafted plants under hightemperature conditions.These results indicated that CTK transfer from bitter gourd rootstock to scion and triggered the accumulation of Rubisco in leaf,thus improving the heat resistance of bitter gourd-grafted plants.展开更多
This study aimed to investigate the performance of^(18)F-DCFPyL positron emission tomography/computerized tomography(PET/CT)models for predicting benign-vs-malignancy,high pathological grade(Gleason score>7),and cl...This study aimed to investigate the performance of^(18)F-DCFPyL positron emission tomography/computerized tomography(PET/CT)models for predicting benign-vs-malignancy,high pathological grade(Gleason score>7),and clinical D'Amico classifcation with machine learning.The study included 138 patients with treatment-naïve prostate cancer presenting positive^(18)F-DCFPyL scans.The primary lesions were delineated on PET images,followed by the extraction of tumor-to-backgroundbased general and higher-order textural features by applying fve diferent binning approaches.Three layer-machine learning approaches were used to identify relevant in vivo features and patient characteristics and their relative weights for predicting high-risk malignant disease.The weighted features were integrated and implemented to establish individual predictive models for malignancy(Mm),high path-risk lesions(by Gleason score)(Mgs),and high clinical risk disease(by amico)(Mamico).The established models were validated in a Monte Carlo cross-validation scheme.In patients with all primary prostate cancer,the highest areas under the curve for our models were calculated.The performance of established models as revealed by the Monte Carlo cross-validation presenting as the area under the receiver operator characteristic curve(AUC):0.97 for Mm,AUC:0.73 for Mgs,AUC:0.82 for Mamico.Our study demonstrated the clinical potential of^(18)F-DCFPyL PET/CT radiomics in distinguishing malignant from benign prostate tumors,and high-risk tumors,without biopsy sampling.And in vivo^(18)F-DCFPyL PET/CT can be considered a noninvasive tool for virtual biopsy for personalized treatment management.展开更多
基金supported by a grant from the National Natural Science Foundation of China(31070780)the Major Project of Technology Department,Heilongjiang Province(GB05C402)
文摘Objective： The inhibition of the neovascularization in tumors is a potential therapeutic target of cancer. Vascular endothelial growth inhibitor （VEGI） is a member of the TNF superfamily which has the ability to suppress the formation of new vessels in tumors. In order to study the association between VEGI gene polymorphisms and breast cancer risk, a case-control study was conducted in Chinese Han women in Northeast China. Methods： Our study involved 708 female breast cancer patients and 685 healthy volunteers. Four SNPs of VEGI gene were analyzed through the polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method. The association between VEGI gene polymorphisms and breast cancer risk was analyzed in our study. The relation between VEGI gene variants and clinical features of breast cancer including lymph node （LN） metastasis, esl^ogen receptor （ER）, progestrogen receptor （PR）, tumor protein 53 （1953）, human epidermal growth factor receptor 2 （Her-2） and triple negative （ER-/PR-/Her-2-） status was analyzed as well. Results： We found that the CT genotype and T allele of rs6478106 were more frequent in patients than in controls. There was also a statistical difference in the distribution of Crs6478106Grs4263839 haplotype between patients and controls. In addition, SNP rs6478106 and rs4979462 were related with the Her-2 status. Conclusions： Our results suggest that VEGI gene variants may be related to the breast cancer risk and the clinical features of breast cancer in Chinese Han women in Northeast China.
基金supported by the China Agriculture Research System (CARS-23-B12).
文摘Plants,as sessile in nature,are constantly confronted with diverse biotic and abiotic stresses throughout their life cycle in the changing environment.As a result,plants evolved root-shoot communications to optimize plant growth and development,and regulate responses to environmental stresses.Here,we examined the roles of root-sourced cytokinin(CTK)response to heat stress in grafted cucumber seedlings.Cucumber plants grafted onto cucumber roots and bitter gourd(Momordica charantia)roots were exposed to heat to examine their heat tolerance by assessing the levels of photosynthetic capacity,CTK contents,chlorophyll-a/b-binding protein(Lhcb2),ribulose-1,5-bisphosphate carboxylase/oxygenase(Rubisco)and its activating enzyme(RCA)content,and the enzyme activity of Rubisco.Bitter gourd rootstock enhanced cucumber scions heat stress tolerance.This enhancement was positively correlated with a higher content of CTK in both leaf and root parts,chlorophyll contents,and Rubisco abundance and activity.In addition,the higher level of CTK and Rubisco content in bitter gourd grafted plants shoots than in cucumber self-gafted plants shoots were attributed to an increase in CTK transport from roots in grafted plants under hightemperature conditions.These results indicated that CTK transfer from bitter gourd rootstock to scion and triggered the accumulation of Rubisco in leaf,thus improving the heat resistance of bitter gourd-grafted plants.
文摘This study aimed to investigate the performance of^(18)F-DCFPyL positron emission tomography/computerized tomography(PET/CT)models for predicting benign-vs-malignancy,high pathological grade(Gleason score>7),and clinical D'Amico classifcation with machine learning.The study included 138 patients with treatment-naïve prostate cancer presenting positive^(18)F-DCFPyL scans.The primary lesions were delineated on PET images,followed by the extraction of tumor-to-backgroundbased general and higher-order textural features by applying fve diferent binning approaches.Three layer-machine learning approaches were used to identify relevant in vivo features and patient characteristics and their relative weights for predicting high-risk malignant disease.The weighted features were integrated and implemented to establish individual predictive models for malignancy(Mm),high path-risk lesions(by Gleason score)(Mgs),and high clinical risk disease(by amico)(Mamico).The established models were validated in a Monte Carlo cross-validation scheme.In patients with all primary prostate cancer,the highest areas under the curve for our models were calculated.The performance of established models as revealed by the Monte Carlo cross-validation presenting as the area under the receiver operator characteristic curve(AUC):0.97 for Mm,AUC:0.73 for Mgs,AUC:0.82 for Mamico.Our study demonstrated the clinical potential of^(18)F-DCFPyL PET/CT radiomics in distinguishing malignant from benign prostate tumors,and high-risk tumors,without biopsy sampling.And in vivo^(18)F-DCFPyL PET/CT can be considered a noninvasive tool for virtual biopsy for personalized treatment management.
