Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective To observe the therapeutic effects and mechanisms of Guanyuan Mingmen Sequential Acupuncture on rats with premature ovarian insufficiency(POI)model.Methods Female SD rats were divided into the blank group,the model group,the protein kinase A(PKA)inhibitor(H89)+acupuncture group,and the acupuncture group,with 12 rats in each group.Except for the blank group,the POI model was prepared by gavage with Tripterygium Glycosides Tablets in the other three groups of rats.After the model was successfully established,the blank group and the model group were bundled once a day;in the acupuncture group,Guanyuan(RN4)point was taken during the intermotility period,and in the pre-motility period,Mingmen(DU4)point was taken;in the H89+acupuncture group,the intervention was performed in accordance with the acupuncture protocol of the acupuncture group,and H89 was injected intraperitoneally for 30 minutes prior to each acupuncture session.Continuous intervention was performed for 20 days.Samples were taken from each group of rats in the first estrus period and in proestrus period after intervention.Enzyme-linked immunosorbent assay(ELISA)was used to measure the levels of follicle stimulating hormone(FSH)and estradiol(E2)during the estrous phase,Western Blot was used to measure the protein expressions of follicle stimulating hormone receptor(FSHR)and aromatase P450(P450arom)during the estrous phase,and the activity of granulocytes during the estrous phase and the proestrus phase were measured using the cell-counting kit 8(CCK-8)method.The immunohistochemistry method was used to detect the protein expression of pre-motility proliferating cell nuclear antigen(PCNA).Results(1)Compared with the blank group,the serum FSH level of the model group and H89+acupuncture group was significantly increased(P＜0.01),and the E2 level was significantly decreased(P＜0.001);there was no difference between the FSH level of the H89+acupuncture group and that of the model group(P＞0.05),and the E2 level of the H89+acupuncture group was lower than that of the model group(P＜0.05);the FSH level of the acupuncture group was lower than that of the model group and that of the H89+acupuncture group(P＜0.05),had no difference with the blank group(P＞0.05),E2 level was significantly higher than the model group and H89+ acupuncture group(P＜0.01),still being lower than the blank group(P＜0.05).(2)The protein expressions of FSHR and P450arom in the model group and H89 + acupuncture group was lower than those in the blank group;the protein expression of FSHR in the H89 + acupuncture group was not different from that in the model group(P＞0.05),while the protein expression level of P450arom was lower than that in the model group(P＜0.05);the protein expression levels of FSHR and P450arom in the acupuncture group were higher than those in the model group and H89 + acupuncture group,but still lower than those in the blank group(P＜0.05).(3)Both GCs activity and average optical density value of PCNA in the model group and H89+acupuncture group were lower than the blank group(P＜0.05);both GCs activity and average optical density value of PCNA in the H89+acupuncture group were lower than the model group(P＜0.05);the activity of GCs and average optical density value of PCNA of the acupuncture group were significantly higher than that of the model group and H89+acupuncture group(P＜0.05 or P＜0.01).Conclusion Guanyuan Mingmen Sequential Acupuncture can regulate sex hormone levels,increase GCs activity and promote GCs cell proliferation by up-regulating protein expressions of follicle stimulating hormone receptor(FSHR)/cyclic adenosine monophosphate(cAMP)/protein kinase A(PKA)pathway FSHR,P450arom,thus improving POI.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Tyrosine kinase inhibitors(TKIs)have emerged as the first-line small molecule drugs in many cancer therapies,exerting their effects by impeding aberrant cell growth and proliferation through the mod-ulation of tyrosine kinase-mediated signaling pathways.However,there exists a substantial inter-individual variability in the concentrations of certain TKIs and their metabolites,which may render patients with compromised immune function susceptible to diverse infections despite receiving theo-retically efficacious anticancer treatments,alongside other potential side effects or adverse reactions.Therefore,an urgent need exists for an up-to-date review concerning the biological matrices relevant to bioanalysis and the sampling methods,clinical pharmacokinetics,and therapeutic drug monitoring of different TKIs.This paper provides a comprehensive overview of the advancements in pretreatment methods,such as protein precipitation(PPT),liquid-liquid extraction(LLE),solid-phase extraction(SPE),micro-SPE(p-SPE),magnetic SPE(MSPE),and vortex-assisted dispersive SPE(VA-DSPE)achieved since 2017.It also highlights the latest analysis techniques such as newly developed high performance liquid chromatography(HPLC)and high-resolution mass spectrometry(HRMS)methods,capillary electro-phoresis(CE),gas chromatography(GC),supercritical fluid chromatography(SFC)procedures,surface plasmon resonance(SPR)assays as well as novel nanoprobes-based biosensing techniques.In addition,a comparison is made between the advantages and disadvantages of different approaches while pre-senting critical challenges and prospects in pharmacokinetic studies and therapeutic drug monitoring.

AIM To study the chemical constituents from the methanol fraction of Premna fulva Craib leaves and their anti-inflammatory activities.METHODS The methanol fraction from P.fluva were isolated and purified by TLC,column chromatography,and HSCCC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activities in vitro were evaluated by RAW264.7 model.RESULTS Twelve compounds were isolated and identified as vitexin(1),balanophonin(2),inotodisaccharide(3),4-allyl-2,6-dimethoxyphenol-β-D-glucopyranoside(4),dehydrovomifoliol(5),loliolide(6),(E)-4-((1S,3R,4R)-1-hydroxy-4,5,5-trimethyl-7-oxabicyclo[4.1.0]heptan-1-yl)but-1-en-3-o-ne(7),(E)-4-hydroxyphenylprop-7-ene 4-O-β-D-glucopyranoside(8),4-O-β-D-glucopyranosylbenzoic acid(9),vicenin(10),oleanicacid(11),sesamin(12),respectively.Compounds 1,2,5,7,10,and 12 showed good inhibitory activities against NO,and the IC50 values were(26.42±2.5)、(21.24±2.2)、(25.88±1.9)、(29.72±2.1)、(8.90±1.1)、(9.73±0.7)μmol/L,respectively.CONCLUSION Compounds 2,4-8 are isolated from Premna genus plants for the first time.Compounds 1,2,5,7,10,12 have anti-inflammatory activities.

Background: Intrahepatic cholangiocarcinoma (ICC) is a highly desmoplastic tumor with poor prognosis even after curative resection. We investigated the associations between the composition of the ICC stroma and immune cell infiltration and aimed to develop a stromal-immune signature to predict prognosis in surgically treated ICC. Patients and methods: We recruited 359 ICC patients and performed immunohistochemistry to detect α-smooth muscle actin (α-SMA), CD3, CD4, CD8, Foxp3, CD68, and CD66b. Aniline was used to stain collagen deposition. Survival analyses were performed to detect prognostic values of these markers. Recursive partitioning for a discrete-time survival tree was applied to define a stromal-immune signature with distinct prognostic value. We delineated an integrated stromal-immune signature based on immune cell subpopulations and stromal composition to distinguish subgroups with different recurrence-free survival (RFS) and overall survival (OS) time. Results: We defined four major patterns of ICC stroma composition according to the distributions of α-SMA and collagen: dormant (α-SMAlow/collagenhigh), fibrogenic (α-SMAhigh/collagenhigh), inert (α-SMAlow/collagenlow), and fibrolytic (α-SMAhigh/collagenlow). The stroma types were characterized by distinct patterns of infiltration by immune cells. We divided patients into six classes. Class I, characterized by high CD8 expression and dormant stroma, displayed the longest RFS and OS, whereas Class VI, characterized by low CD8 expression and high CD66b expression, displayed the shortest RFS and OS. The integrated stromal-immune signature was consolidated in a validation cohort. Conclusion We developed and validated a stromal-immune signature to predict prognosis in surgically treated ICC. These findings provide new insights into the stromal-immune response to ICC.

OBJECTIVE: To observe the immediate analgesic effect of electroacupuncture (EA) combined with diclofenac sodium on acute gouty arthritis (AGA). METHODS: A total of 90 patients with AGA were randomly divided into a low-dose medication (LM) group (30 cases, 1 case was eliminated, 1 case dropped off), a conventional medication (CM) group (30 cases, 1 case dropped off) and a combination of acupuncture and medication (AM) group (30 cases ). The LM group was given oral administration of 50 mg diclofenac sodium sustained-release capsule; the CM group was given oral administration of 100 mg diclofenac sodium sustained-release capsule; on the basis of the treatment of LM group, the AM group was treated with electroacupuncture at ashi points, Dadu (SP 2), Taichong (LR 3), Taibai (SP 3), Neiting (ST 44), Sanyinjiao (SP 6), Zusanli (ST 36) and Yinlingquan (SP 9) on the affected side, and Taichong (LR 3) and Zusanli (ST 36), Sanyinjiao (SP 6) and Yinlingquan (SP 9) were connected to electroacupuncture respectively, continuous wave, 2 Hz in frequency. The visual analogue scale (VAS) scores of pain before treatment and after 10 min, 2 h, 4 h and 6 h of treatment completion, joint tenderness and swelling scores before treatment and after 10 min and 6 h of treatment completion were compared, and the rate of diclofenac sodium addition within 24 h after treatment completion was recorded among the three groups. RESULTS: After 10 min of treatment completion, the scores of VAS, joint tenderness and joint swelling in the AM group were lower than those before treatment (P<0.05), and the VAS score in the AM group was lower than that in the other two groups (P<0.05). After 2, 4 and 6 h of treatment completion, the VAS scores of the three groups were lower than those before treatment (P<0.05), and the scores in the AM group were lower than those in the LM group (P<0.05). After 6 h of treatment completion, the joint tenderness scores of the three groups and the joint swelling scores of the AM group and the CM group were lower than those before treatment (P<0.05), and the joint tenderness and swelling scores of the AM group were lower than those of the LM group (P<0.05). The rate of diclofenac sodium addition was 3.3 % (1/30) and 3.4 % (1/29) in the AM group and the CM group, respectively, which were lower than 17.9% (5/28) in the LM group (P<0.05). CONCLUSION Electroacupuncture combined with diclofenac sodium have a good immediate analgesic effect in the treatment of AGA, and have the advantages of small dosage of analgesic drugs and less adverse reactions.
Humans ; Diclofenac ; Electroacupuncture ; Arthritis, Gouty/drug therapy* ; Delayed-Action Preparations ; Acupuncture Therapy ; Arthralgia