Objective:To explore the therapeutic effects of Jiugong abdominal meridian massage combined with Zhuang medicine line acupoint moxibustion in patients after radical resection of colorectal cancer.Methods:A convenience sampling method was used to select 200 patients who underwent radical resection of colorectal cancer at Huzhou First People's Hospital from January 2022 to December 2023. Patients were randomly divided into three groups using a random number table: the control group ( n=62), the Zhuang medicine line acupoint moxibustion group ( n=66), and the combined group ( n=72). The control group received conventional interventions, the Zhuang medicine line acupoint moxibustion group received Zhuang medicine line acupoint moxibustion in addition to the conventional intervention, and the combined group received Jiugong abdominal meridian massage in addition to the Zhuang medicine line acupoint moxibustion. Gastrointestinal function recovery and pain scores were compared among the three groups after the intervention. Results:After intervention, there were statistically significant differences in the recovery time of bowel sounds, time to tolerate solid food by mouth, time to first bowel movement, gastric body motility frequency, total gastrointestinal output rate, gastric emptying rate, and pain scores among the three groups ( P<0.05) . Conclusions:Jiugong abdominal meridian massage combined with Zhuang medicine line acupoint moxibustion intervention can effectively improve the gastrointestinal function indicators and reduce postoperative pain in patients after radical resection of colorectal cancer.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.

Objective:To explore the therapeutic effects of Jiugong abdominal meridian massage combined with Zhuang medicine line acupoint moxibustion in patients after radical resection of colorectal cancer.Methods:A convenience sampling method was used to select 200 patients who underwent radical resection of colorectal cancer at Huzhou First People's Hospital from January 2022 to December 2023. Patients were randomly divided into three groups using a random number table: the control group ( n=62), the Zhuang medicine line acupoint moxibustion group ( n=66), and the combined group ( n=72). The control group received conventional interventions, the Zhuang medicine line acupoint moxibustion group received Zhuang medicine line acupoint moxibustion in addition to the conventional intervention, and the combined group received Jiugong abdominal meridian massage in addition to the Zhuang medicine line acupoint moxibustion. Gastrointestinal function recovery and pain scores were compared among the three groups after the intervention. Results:After intervention, there were statistically significant differences in the recovery time of bowel sounds, time to tolerate solid food by mouth, time to first bowel movement, gastric body motility frequency, total gastrointestinal output rate, gastric emptying rate, and pain scores among the three groups ( P<0.05) . Conclusions:Jiugong abdominal meridian massage combined with Zhuang medicine line acupoint moxibustion intervention can effectively improve the gastrointestinal function indicators and reduce postoperative pain in patients after radical resection of colorectal cancer.

Background and Purpose:The early prediction of local tumor progression-free survival(LTPFS)after radiofrequency ablation(RFA)for colorectal cancer(CRC)lung metastases has significant clinical importance.The application of radiomics in the prediction of tumor prognosis has been explored.This study aimed to construct a radiomics-based nomogram for predicting LTPFS after RFA in CRC patients with lung metastases.Methods:This study retrospectively analyzed 172 CRC patients with 401 lung metastases admitted to Department of Interventional Radiology,Fudan University Shanghai Cancer Center from August 2016 to January 2019.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:2402291-24).After augmentation of pre-ablation and immediate post-ablation computed tomography(CT)images,the target metastases and ablation regions were segmented manually to extract the radiomic features.Maximum relevance and minimum redundancy algorithm(MRMRA)and least absolute shrinkage and selection operator(LASSO)regression models were applied for feature selection.The clinical model,the radiomics model,and the fusion model were constructed based on the selected radiomic features and clinical variables screened by the multivariate analysis.The Harrell concordance index(C-index)and area under receiver operating characteristic(ROC)curves(AUC)were calculated to evaluate the prediction performance.Finally,the corresponding nomogram of the best model was drawn.Results:Among all the lung metastases,102(25.4%)had final recurrence,and 299(74.6%)had complete response(CR).The median follow-up time was 21 months(95%CI:19.466-22.534),and the LTPFS rates at 1,2,and 3 years after RFA were 76.5%(95%CI:72.0-80.4),72.1%(95%CI:66.6-76.9)and 69.9%(95%CI:64.0-75.1).In both the training and test dataset,the fusion model based on the final 12 radiomic features through the LASSO regression and 4 clinical variables screened by multivariate analysis achieved the highest AUC values for LTPFS,with C-index values of 0.890(95%CI:0.854-0.927)and 0.843(95%CI:0.768-0.916),respectively.Conclusion:The fusion model based on radiomic features and clinical variables is feasible for predicting LTPFS after RFA of CRC patients with lung metastases,whose performance is superior to the single radiomic and clinical model.At the same time,the nomogram of the fusion model can intuitively predict the prognosis of CRC patients with lung metastases after RFA,thus assisting clinicians in developing individualized follow-up review plans for patients and adjusting treatment strategies flexibly.

Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Objective:To investigate the clinical efficacy of non-drug interventions in hospice and palliative care(HPC)for improving cancer-related fatigue(CRF)in elderly individuals and its impact on quality of life.Methods:This study presents findings from a single-center randomized controlled trial conducted at Zhejiang Hospital, focusing on 40 elderly patients experiencing cancer-related fatigue(CRF)between February 2022 and February 2023.The participants were randomly assigned into a control group and an intervention group, each consisting of 20 individuals, using the random number table method.Both groups received routine comprehensive treatment, with the intervention group additionally receiving hospice and palliative care(HPC)non-drug intervention.Following 6 weeks of continuous treatment, the study compared the clinical efficacy, changes in CRF, and quality of life before and after treatment between the two groups.Results:Comparing the baseline data of the two groups of patients, the difference was not statistically significant(all P>0.05).After 6 weeks of treatment, patients in the intervention group reported lower levels of current fatigue, general fatigue, worst fatigue in the past 24 hours, and impact of fatigue on various aspects of their lives compared to the control group(all P<0.01).The clinical remission rate of cancer-related fatigue(CRF)in the intervention group was 60%, significantly higher than the 5% in the control group( P<0.01).Additionally, the intervention group showed improvement in overall quality of life and emotional function with decreased symptom areas scores(fatigue, nausea and vomiting, shortness of breath, sleep disorders, and loss of appetite)( P<0.01 for quality of life and emotional function, P<0.05 for symptom areas). Conclusions:Non-pharmacological interventions within the context of hospice and palliative care have been shown to alleviate cancer-related fatigue in elderly cancer patients, ultimately improving their quality of life.These interventions have demonstrated positive effects on various aspects such as overall quality of life, functional status, fatigue, nausea and vomiting, shortness of breath, sleep disorders, and decreased appetite.Furthermore, these interventions are considered safe and effective in the treatment of elderly cancer patients experiencing fatigue.

Glioblastoma multiforme (GBM), a highly malignant and heterogeneous brain tumor, contains various types of tumor and non-tumor cells. Whether GBM cells can trans-differentiate into non-neural cell types, including mural cells or endothelial cells (ECs), to support tumor growth and invasion remains controversial. Here we generated two genetic GBM models de novo in immunocompetent mouse brains, mimicking essential pathological and molecular features of human GBMs. Lineage-tracing and transplantation studies demonstrated that, although blood vessels in GBM brains underwent drastic remodeling, evidence of trans-differentiation of GBM cells into vascular cells was barely detected. Intriguingly, GBM cells could promiscuously express markers for mural cells during gliomagenesis. Furthermore, single-cell RNA sequencing showed that patterns of copy number variations (CNVs) of mural cells and ECs were distinct from those of GBM cells, indicating discrete origins of GBM cells and vascular components. Importantly, single-cell CNV analysis of human GBM specimens also suggested that GBM cells and vascular cells are likely separate lineages. Rather than expansion owing to trans-differentiation, vascular cell expanded by proliferation during tumorigenesis. Therefore, cross-lineage trans-differentiation of GBM cells is very unlikely to occur during gliomagenesis. Our findings advance understanding of cell lineage dynamics during gliomagenesis, and have implications for targeted treatment of GBMs.
Mice ; Animals ; Humans ; Glioblastoma/pathology* ; Endothelial Cells/pathology* ; DNA Copy Number Variations ; Brain/metabolism* ; Brain Neoplasms/pathology*

Multiple sclerosis has a long course of disease, a high recurrence rate, and is disabling and fatal. Nurse practitioners play an important role in the management of patients with multiple sclerosis. This article reviews the role of nurse practitioners abroad in multiple sclerosis disease modifying treatment, medication nursing, psychological nursing, and assessment and management of palliative care, so as to provide a reference and inspiration for nurse practitioners in China to manage multiple sclerosis patients.

Objective: To assess the value of non-invasive prenatal testing (NIPT) for the identification of fetal chromosomal aneuploidies. Methods: For 9470 pregnant women with a moderate-to-high risk by conventional serological screening or advanced maternal age, peripheral venous blood samples were collected and, following extraction of free fetal DNA, subjected to large-scale parallel sequencing on a Illumina Hiseq2000 platform. Those with a high risk by NIPT were validated by invasive prenatal diagnosis. Results: Out of the 9470 samples, 194 cases (2.0%) were positive by NIPT testing. These included 50 trisomy 21, 11 trisomy 18, 17 trisomy 13, 44 other autosomal aneuploidies, 55 sex chromosomal aneuploidies, and 17 chromosomal copy number variations. As validated by amniotic fluid or umbilical blood chromosomal karyotyping analysis, NIPT has a false positive rate of 2.0%, 18.2%, 41.2%, 97.7%, 81.8%, 94.1%, respectively. The test has a sensitivity of 100% and a specificity of 98.79%. Conclusion For common chromosomal aneuploidies such as trisomy 21 and trisomy 18, NIPT has a good sensitivity and specificity, therefore has good value for clinical application.