Photodynamic therapy(PDT)has shown great application potential in cancer treatment and the important manifestation of PDT in the inhibition of tumors is the activation of immunogenic cell death(ICD)effects.However,the...Photodynamic therapy(PDT)has shown great application potential in cancer treatment and the important manifestation of PDT in the inhibition of tumors is the activation of immunogenic cell death(ICD)effects.However,the strategy is limited in the innate hypoxic tumor microenvironment.There are two key elements for the realization of enhanced PDT:specific cellular uptake and release of the photosensitizer in the tumor,and a sufficient amount of oxygen to ensure photodynamic efficiency.Herein,self-oxygenated biomimetic nanoparticles(CS@M NPs)co-assembled by photosensitizer prodrug(Ce6-S-S-LA)and squalene(SQ)were engineered.In the treatment of triple negative breast cancer(TNBC),the oxygen carried by SQ can be converted to reactive oxygen species(ROS).Meanwhile,glutathione(GSH)consumption during transformation from Ce6-S-S-LA to chlorin e6(Ce6)avoided the depletion of ROS.The co-assembled(CS NPs)were encapsulated by homologous tumor cell membrane to improve the tumor targeting.The results showed that the ICD effect of CS@M NPs was confirmed by the significant release of calreticulin(CRT)and high mobility group protein B1(HMGB1),and it significantly activated the immune system by inhibiting the hypoxia inducible factor-1alpha(HIF-1α)-CD39-CD73-adenosine a2a receptor(A2AR)pathway,which not only promoted the maturation of dendritic cells(DC)and the presentation of tumor specific antigens,but also induced effective immune infiltration of tumors.Overall,the integrated nanoplatform implements the concept of multiple advantages of tumor targeting,reactive drug release,and synergistic photodynamic therapy-immunotherapy,which can achieve nearly 90%tumor suppression rate in orthotopic TNBC models.展开更多
Background:The relationship between microRNA(miRNA)expression patterns and tumor mutation burden(TMB)in uterine corpus endometrial carcinoma(UCEC)was investigated in this study.Methods:The UCEC dataset from The Cancer...Background:The relationship between microRNA(miRNA)expression patterns and tumor mutation burden(TMB)in uterine corpus endometrial carcinoma(UCEC)was investigated in this study.Methods:The UCEC dataset from The Cancer Genome Atlas(TCGA)database was used to identify the miRNAs that differ in expression between high TMB and low TMB sample sets.The total sample sets were divided into a training set and a test set.TMB levels were predicted using miRNA-based signature classifiers developed by Lasso Cox regression.Test sets were used to validate the classifier.This study investigated the relationship between a miRNA-based signature classifier and three immune checkpoint molecules(programmed cell death protein 1[PD-1],programmed cell death ligand 1[PD-L1],cytotoxic T lymphocyte-associated antigen 4[CTLA-4]).For the miRNA-based signature classifier,functional enrichment analysis was performed on the miRNAs.An analysis of the relationship between PD-1,PD-L1,and CTLA-4 immune checkpoint genes was carried out using the miRNA-based signature classifier.Results:We identified 27 differentially expressed miRNAs in miRNA-base signature.For predicting the TMB level,27-miRNA-based signature classifiers had accuracies of 0.8689 in the training cohort,0.8276 in the test cohort,and 0.8524 in the total cohort.The correlation between the miRNA-based signature classifier and PD-1 was negative,while the correlation between PD-L1 and CTLA4 was positive.Based on the miRNA profiling described above,we validated the expression levels of 9 miRNAs in clinical samples by quantitative reverse transcription PCR(qRT-PCR).Four of them were highly expressed and many cancer-related and immune-associated biological processes were linked to these 27 miRNAs.Thus,the developed miRNA-based signature classifier was correlated with TMB levels that could also predict TMB levels in UCEC samples.Conclusion:In this study,we investigated the relationship between a miRNAbased signature classifier and TMB levels in Uterine Corpus Endometrial Carcinoma.Further,this is the first study to confirm their relationship in clinical samples,which may provide more evidence support for immunotherapy of endometrial cancer.展开更多
基金supported by the Guangdong Nature Resource Center(No.(2020)037)Natural Science Foundation of Guangdong Province(Nos.22019A1515011498 and 2019A1515011619)+2 种基金Basic and Applied Basic Research Foundation of Guangdong Province(No.2020B1515120063)National Natural Science Foundation of China(No.81803877)supported by the China Postdoctoral Science Foundation(No.2022M721535)。
文摘Photodynamic therapy(PDT)has shown great application potential in cancer treatment and the important manifestation of PDT in the inhibition of tumors is the activation of immunogenic cell death(ICD)effects.However,the strategy is limited in the innate hypoxic tumor microenvironment.There are two key elements for the realization of enhanced PDT:specific cellular uptake and release of the photosensitizer in the tumor,and a sufficient amount of oxygen to ensure photodynamic efficiency.Herein,self-oxygenated biomimetic nanoparticles(CS@M NPs)co-assembled by photosensitizer prodrug(Ce6-S-S-LA)and squalene(SQ)were engineered.In the treatment of triple negative breast cancer(TNBC),the oxygen carried by SQ can be converted to reactive oxygen species(ROS).Meanwhile,glutathione(GSH)consumption during transformation from Ce6-S-S-LA to chlorin e6(Ce6)avoided the depletion of ROS.The co-assembled(CS NPs)were encapsulated by homologous tumor cell membrane to improve the tumor targeting.The results showed that the ICD effect of CS@M NPs was confirmed by the significant release of calreticulin(CRT)and high mobility group protein B1(HMGB1),and it significantly activated the immune system by inhibiting the hypoxia inducible factor-1alpha(HIF-1α)-CD39-CD73-adenosine a2a receptor(A2AR)pathway,which not only promoted the maturation of dendritic cells(DC)and the presentation of tumor specific antigens,but also induced effective immune infiltration of tumors.Overall,the integrated nanoplatform implements the concept of multiple advantages of tumor targeting,reactive drug release,and synergistic photodynamic therapy-immunotherapy,which can achieve nearly 90%tumor suppression rate in orthotopic TNBC models.
基金the National Natural Science Foundation(81803877,82104705)the Natural Science Foundation of Guangdong Province of China(2017A030310178)+5 种基金the Guangdong Sci-Tech Commissioner(20211800500322)the China Postdoctoral Science Foundation(2020M682817)Guangdong Basic and Applied Basic Research Foundation(2020A1515110651,2020B1515120063)Guangdong Medical Science and Technology Research Foundation(A2021476)Traditional Chinese Medicine Research Project of Guangdong Province Traditional Chinese Medicine Bureau(20221256)the Dongguan Social Technology Development Fund(202050715001207).
文摘Background:The relationship between microRNA(miRNA)expression patterns and tumor mutation burden(TMB)in uterine corpus endometrial carcinoma(UCEC)was investigated in this study.Methods:The UCEC dataset from The Cancer Genome Atlas(TCGA)database was used to identify the miRNAs that differ in expression between high TMB and low TMB sample sets.The total sample sets were divided into a training set and a test set.TMB levels were predicted using miRNA-based signature classifiers developed by Lasso Cox regression.Test sets were used to validate the classifier.This study investigated the relationship between a miRNA-based signature classifier and three immune checkpoint molecules(programmed cell death protein 1[PD-1],programmed cell death ligand 1[PD-L1],cytotoxic T lymphocyte-associated antigen 4[CTLA-4]).For the miRNA-based signature classifier,functional enrichment analysis was performed on the miRNAs.An analysis of the relationship between PD-1,PD-L1,and CTLA-4 immune checkpoint genes was carried out using the miRNA-based signature classifier.Results:We identified 27 differentially expressed miRNAs in miRNA-base signature.For predicting the TMB level,27-miRNA-based signature classifiers had accuracies of 0.8689 in the training cohort,0.8276 in the test cohort,and 0.8524 in the total cohort.The correlation between the miRNA-based signature classifier and PD-1 was negative,while the correlation between PD-L1 and CTLA4 was positive.Based on the miRNA profiling described above,we validated the expression levels of 9 miRNAs in clinical samples by quantitative reverse transcription PCR(qRT-PCR).Four of them were highly expressed and many cancer-related and immune-associated biological processes were linked to these 27 miRNAs.Thus,the developed miRNA-based signature classifier was correlated with TMB levels that could also predict TMB levels in UCEC samples.Conclusion:In this study,we investigated the relationship between a miRNAbased signature classifier and TMB levels in Uterine Corpus Endometrial Carcinoma.Further,this is the first study to confirm their relationship in clinical samples,which may provide more evidence support for immunotherapy of endometrial cancer.
