Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To investigate the biological functions of the ERG3 gene in Candida albicans and its potential value in antifungal therapy. Methods The ERG3 null mutant was constructed by the CRISPR/Cas9 technology. Gas chromatography-mass spectrometry, microbroth dilution method, hyphal induction and mouse systemic infection models were carried out to evaluate sterol metabolism, drug susceptibility, hyphal formation ability and pathogenicity in C. albicans. Results The disruption of the ERG3 gene led to disordered sterol metabolism in C. albicans with a significant increased level of episterol, 14α-methylfecosterol and ergosta-7,22-dienol. The ERG3 null mutant exhibited significantly reduced susceptibility to antifungal azole and polyene drugs, which suggested that ERG3 involve in regulating drug resistance. Although the disruption of ERG3 inhibited hyphal growth and biofilm formation, it did not significantly alter the pathogenicity of the strain in a mouse model of systemic fungal infection. Conclusion The ERG3 gene was a key regulator in the ergosterol synthesis pathway in C. albicans. Its deletion induced multi-drug resistance by reshaping sterol metabolism, while pathogenicity maintenance depended on compensatory mechanisms. This study provided critical insights for developing antifungal drugs targeting sterol metabolism and overcoming drug resistance.

Platycodonis Radix is the dry root of Platycodon grandiflorum of Campanulaceae, which has a variety of pharmacological effects and is a commonly used bulk Chinese medicine. In this study, the chloroplast genome sequences of six P. grandiflorum from different producing areas has been sequenced with Illumina HiSeq X Ten platform. The specific DNA barcodes were screened, and the germplasm resources and genetic diversity were analyzed according to the specific barcodes. The total length of the chloroplast genome of 6 P. grandiflorum samples was 172 260-172 275 bp, and all chloroplast genomes showed a typical circular tetrad structure and encoded 141 genes. The comparative genomics analysis and results of amplification efficiency demonstrated that trnG-UCC and ndhG_ndhF were the potential specific DNA barcodes for identification the germplasm resources of P. grandiflorum. A total of 305 P. grandiflorum samples were collected from 15 production areas in 9 provinces, for which the fragments of trnG-UCC and ndhG_ndhF were amplificated and the sequences were analyzed. The results showed that trnG-UCC and ndhG_ndhF have 5 and 11 mutation sites, respectively, and 5 and 7 haplotypes were identified, respectively. The combined analysis of the two sequences formed 13 haplotypes (named Hap1-Hap13), and Hap4 is the main genotype, followed by Hap1. The unique haplotypes possessed by the three producing areas can be used as DNA molecular tags in this area to distinguish from the germplasm resources of P. grandiflorum from other areas. The haplotype diversity, nucleotide diversity and genetic distance were 0.94, 4.79×10^-3 and 0.000 0-0.020 3, respectively, suggesting that the genetic diversity was abundant and intraspecific kinship was relatively close. This study laid a foundation for the identification of P. grandiflorum, the protection and utilization of germplasm resources, and molecular breeding.

Objective To clarify whether the use of dynamic coronary artery roadmap(DCR)technology in a low-dose mode with 7.5 frames per second during coronary intervention can further reduce the total radiation dose,fluoroscopy time,and contrast agent usage.Methods A total of 94 patients,who received coronary angiography at the Shanghai Tongji Hospital of China between July 2022 and December 2022,were enrolled in this study.The patients were randomly divided into DCR group(n=53)and control group(n=41).DCR technology was used in the DCR group to guide the performance of percutaneous coronary intervention(PCI),while low-dose mode coronary angiography was adopted in the control group.The total air kerma(AK),dose-area product(DAP),intraoperative fluoroscopy time,and contrast agent usage were compared between the two groups.Results In the DCR group AK was(597.9±222.8)mGy,which was significantly lower than(717.0±326.8)mGy in the control group(P=0.039);DAP was(33.2±13.3)Gycm2/s,which was also remarkably lower than(41.3±21.5)Gycm2/s in the control group(P=0.027).In the DCR group and the control group,the intraoperative fluoroscopy time was(9.8± 3.3)min and(12.1±4.3)min respectively(P＜0.01),and the contrast agent usage was(122.3±19.0)mL and(130.5± 28.5)mL respectively(P=0.116).Conclusion In a low-dose mode during coronary intervention,the use of DCR technology can further reduce radiation dose,fluoroscopy time,and contrast agent usage.(J Intervent Radiol,2024,33:236-239)

Objective To investigate the effect of microRNA-454-3p(miR-454-3p)on the proliferation,invasion,and migration ability of endometrial cancer(EC)cells and its mechanism.Methods Analyze the expression levels of miR-454-3p in various tissues using the miTED database.Analyze the survival rates of high expression miR-454-3p and low expression miR-454-3p groups in EC patients using the starBase database.Use Targetscan to predict downstream target genes of miR-454-3p.Use the Kaplan Meier Plotter database to analyze the survival rates of the high expression detection of phosphatase and tensin homolog(PTEN)group(average expression level in the high cohort:2 412.45)and the low expression of PTEN(average expression level in the low cohort:733.15)in EC patients.Ishikawa cells were divided into NC-mimics group(transfected with NC-mimics),mimics group(transfected with miR-454-3p mimics),NC-inhibitor group(transfected with NC-inhibitor),and inhibitor group(transfected with miR-454-3p inhibitor).Detect the proliferation ability of cells using cell counting kit-8(CCK-8)assay;evaluate cell invasion and migration abilities using Transwell and scratch experiments,respectively;detection of PTEN RNA expression levels using real-time quantitative polymerase chain reaction(qRT-PCR).Results Compared with normal tissue,the expression level of miR-454-3p in tumor tissue of EC patients increased(1.57 vs 3.26,P＜0.05),and the survival rate of EC patients with low expression of miR-454-3p increased(0.74 vs 0.42,P＜0.05).The cell proliferation ability of the NC mimics group,mimics group,NC inhibitor group and inhibitor group were 3.73±0.02,5.40±0.02,2.06±0.05 and 1.95±0.05;the number of invading cells were 116±17,154±19,855±165 and 447±44;the number of migrating cells were 116±8,154±27,1 518±50 and 1 132±175;the scratch healing rates were(20.00±8.00)％、(39.00±2.00)％、(84.00±1.00)％and(52.00±1.00)％;the expression levels of PTEN mRNA were 1.16±0.03,0.94±0.02,0.85±0.14 and 1.22±0.07,respectively.The differences in the above indicators between the mimics group and the NC mimics group,as well as between the inhibitor group and the NC inhibitor group,were statistically significant(all P＜0.05).The expression level of PTEN in tumor tissue of EC patients decreased(33.45 vs 17.17,P＜0.05),and the survival rate of EC patients with low expression of PTEN increased(41％vs 93％,P＜0.05).Conclusion miR-454-3p may promote the proliferation,invasion,and migration of EC cells by negatively regulating the expression of PTEN.

Ovarian cancer has become the most lethal gynecological tumor due to the difficulty in early diagnosis,the late stage when diagnosed and the high recurrence rate.Resistance to platinum-based anti-tumor chemotherapy drugs is an important reason for the poor prognosis of ovarian cancer.circular RNA(circRNA)is more stable than mRNA in cells due to its special structure,and it is involved in the regulation of the occurrence,development and chemotherapy resistance of a variety of tumors.circRNA can be used as a competing endogenous RNA(ceRNA)of miRNA to bind to proteins,and regulates the phenotypic polarization of macrophages,it can also be used as an exosomal circRNA to regulate the sensitivity of platinum resistance in ovarian cancer.circRNA is expected to be a new marker of platinum resistance and a new target for the treatment of platinum resistance.In order to further explore the relationship between circRNA and platinum resistance in ovarian cancer,this article summarizes the recent literature related to circRNA and platinum resistance in ovarian cancer.