Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Aim To design the pyrimidoindole deriva-tive N-butyl-9H-pyrimido[4,5-b]indole-2-carboxamide(BFPI)and synthesize it to investigate whether it in-hibits macrophage pyroptosis and foaming effects through the NLRP3/Caspase-1 pathway.Methods BFPI was synthesized using 2,4,6-triethoxycarbonyl-l,3,5-triazine and 2-aminoindole as starting materials and structurally characterized by 1H NMR,13C NMR,and ESI-MS.The in vitro cultured mouse monocyte macro-phage cell line RAW264.7 was divided into blank,model(PA)and therapeutic(BFPI)groups,and the cells in each group were treated with the corresponding culture medium for 24 h.The proliferative viability was detected by MTT assay,and the formation of intracel-lular lipid droplets was detected by oil red O staining,and NLRP3 was detected by Western-blot and RT-qPCR,caspase-1 and MCP-1 mRNA and protein ex-pression levels by Western blot and RT-qPCR.Results Compared with the blank group,the proliferation vi-ability of cells in the model group significantly de-creased and the formation of lipid droplets significantly increased;compared with the model group,the prolif-eration viability of cells in the treatment group signifi-cantly increased and the formation of lipid droplets sig-nificantly decreased,and the differences were statisti-cally significant(P＜0.01);compared with the blank group,the cellular NLRP3,caspase-1 and MCP-1 mR-NA and protein expression levels of cells in the model group significantly increased;compared with the model group,the expression levels of the above indexes of the cells in the treatment group significantly decreased,and the difference was statistically significant(P＜0.01).Conclusions BFPI contributes to delaying macrophage-derived foam cell formation during athero-genesis by inhibiting macrophage NLRP3,caspase-1,and MCP-1 expression and thereby promoting their pro-liferation and inhibiting lipid phagocytosis.

Objective:To explore expression and prognostic value of oncostatin M(OSM)in endometrial cancer and to analyze relationship between OSM expression and immune cell infiltration in endometrial cancer tissues.Methods:OSM expression in pan-can-cer was analyzed by TIMER database,OSM expression in endometrial cancer and normal tissues was compared,and survival analysis for patients with different OSM expression was performed;relationship between OSM expression and immune cell infiltration was analyzed by TIMER and TISIDB,and ssGSEA algorithm was used to calculate difference in abundance of immune cell infiltration in samples with different OSM expression;GSEA software was applied to perform enrichment analysis;clinical tissue samples were collected for validation.Results:OSM expression was higher in endometrial cancer tissues than that in normal endometrial tissues(P=4.1e-28),and endometrial cancer patients with high OSM expression had prolonged recurrence-free survival(RFS)(P=0.004 8).OSM expression was positively correlated with abundance of immune cell infiltration and genetic markers of immune cells(P<0.05).OSM was mainly enriched in immune-related signaling pathways.OSM expression was higher in endometrial cancer tissues than normal and atypical hyperplastic tissues(P=0.016 9).Proportions of immune cell markers CD4,CD8,and CD68 were increased in tumor tissues with high OSM expression(all P<0.05),which were positively correlated with OSM expression.Conclusion:OSM is highly expressed in endometrial cancer tissues and correlated with prognosis;OSM expression is positively correlated with immune cell infiltration level and can be used as a biomarker for immunotherapy and prognosis.

Objective:To analyze the prognostic value of del(1p32)in patients with newly diagnosed multiple myeloma(MM).Methods:The clinical data of 341 newly diagnosed MM attended in Jiangsu Province Hospital were retrospective analyzed.Clinical characteristic combined with genetic features,especially del(1p32),were analyzed for survival and prognostic of patients.Results:Among the 341 patients with newly diagnosed MM,24(7.0％)patients were del(1p32)positive.The progression-free survival(PFS)and overall survival(OS)were significantly shorter in MM patients with del(1p3 2)than those without de1(1p32)(PFS:P＜0.001;OS:P＜0.001).The COX proportional-hazards model showed that del(1 p32)was an independent risk factor for PFS and OS of patients with MM.The patients with both 1q21 gain/amplification and del(1p32),as"double-hit chromosome 1",have worse prognosis than those with only 1q21 gain/amplification or only del(1 p32)(PFS:P＜0.001;OS:P＜0.001).Conclusion:Del(1p32)is an independent risk factor for PFS and OS of patients with MM.Del(1p32)detection should be widely used in the prognostic analysis for newly diagnosed MM patients.

Purpose: The objective of this study was to evaluate the diagnostic value of transvaginal contrastenhanced ultrasound (CEUS) in differentiating benign from malignant endometrial lesions and assessing the extent of myometrial invasion. Methods: A total of 70 patients who underwent surgery for endometrial lesions at the authors’ hospital were selected. Transvaginal ultrasound examination and CEUS were performed for quantitative and qualitative analysis. Based on the CEUS results, an International Federation of Gynecology and Obstetrics (FIGO) disease grade was assigned and compared with pathological findings. Results: Postmenopausal vaginal bleeding is a key clinical manifestation of endometrial carcinoma. Among the patients with endometrial carcinoma, compared with normal myometrium, the lesion areas exhibited a greater rate of rise (defined as enhanced intensity divided by enhancement time) and a shorter half-clearance time (P<0.05). These findings suggest that in endometrial carcinoma, the contrast agent displays a "fast-in/fast-out/hyperenhancement" perfusion pattern. In contrast, the characteristic perfusion pattern for benign endometrial lesions is low enhancement (P<0.05). The diagnostic accuracy of CEUS in detecting myometrial invasion was 88% (22 of 25 cases). Conclusion Transvaginal CEUS is a practical and effective diagnostic imaging method for distinguishing between benign and malignant endometrial lesions. It can also be used to evaluate the depth of myometrial invasion in patients with early-stage endometrial carcinoma.

Purpose: The objective of this study was to evaluate the diagnostic value of transvaginal contrastenhanced ultrasound (CEUS) in differentiating benign from malignant endometrial lesions and assessing the extent of myometrial invasion. Methods: A total of 70 patients who underwent surgery for endometrial lesions at the authors’ hospital were selected. Transvaginal ultrasound examination and CEUS were performed for quantitative and qualitative analysis. Based on the CEUS results, an International Federation of Gynecology and Obstetrics (FIGO) disease grade was assigned and compared with pathological findings. Results: Postmenopausal vaginal bleeding is a key clinical manifestation of endometrial carcinoma. Among the patients with endometrial carcinoma, compared with normal myometrium, the lesion areas exhibited a greater rate of rise (defined as enhanced intensity divided by enhancement time) and a shorter half-clearance time (P<0.05). These findings suggest that in endometrial carcinoma, the contrast agent displays a "fast-in/fast-out/hyperenhancement" perfusion pattern. In contrast, the characteristic perfusion pattern for benign endometrial lesions is low enhancement (P<0.05). The diagnostic accuracy of CEUS in detecting myometrial invasion was 88% (22 of 25 cases). Conclusion Transvaginal CEUS is a practical and effective diagnostic imaging method for distinguishing between benign and malignant endometrial lesions. It can also be used to evaluate the depth of myometrial invasion in patients with early-stage endometrial carcinoma.

Purpose: The objective of this study was to evaluate the diagnostic value of transvaginal contrastenhanced ultrasound (CEUS) in differentiating benign from malignant endometrial lesions and assessing the extent of myometrial invasion. Methods: A total of 70 patients who underwent surgery for endometrial lesions at the authors’ hospital were selected. Transvaginal ultrasound examination and CEUS were performed for quantitative and qualitative analysis. Based on the CEUS results, an International Federation of Gynecology and Obstetrics (FIGO) disease grade was assigned and compared with pathological findings. Results: Postmenopausal vaginal bleeding is a key clinical manifestation of endometrial carcinoma. Among the patients with endometrial carcinoma, compared with normal myometrium, the lesion areas exhibited a greater rate of rise (defined as enhanced intensity divided by enhancement time) and a shorter half-clearance time (P<0.05). These findings suggest that in endometrial carcinoma, the contrast agent displays a "fast-in/fast-out/hyperenhancement" perfusion pattern. In contrast, the characteristic perfusion pattern for benign endometrial lesions is low enhancement (P<0.05). The diagnostic accuracy of CEUS in detecting myometrial invasion was 88% (22 of 25 cases). Conclusion Transvaginal CEUS is a practical and effective diagnostic imaging method for distinguishing between benign and malignant endometrial lesions. It can also be used to evaluate the depth of myometrial invasion in patients with early-stage endometrial carcinoma.