Objective: The study aims to explore the neural mechanism of cognitive differences in college students with posttraumatic stress disorder under verbal fluency task based on functional near infrared spectroscopy (fNIRS), so as to provide neuroimaging support for the evaluation, diagnosis and treatment of posttraumatic stress disorder(PTSD). Methods: Posttaumatic Stress Disorder Checklist Combat(PCL-C) was used to screen the subjects, including 21 students in PTSD group (PCL-C≥38) and 30 students in control group from September to Novenber in 2020. A 53 channel near infrared spectroscopy device was used to collect cerebral blood oxygen signals under the verbal fluency task, and correlation analysis, Mann Whitney U test and independent sample t test were performed on the results. Results: The difference in the total average score of PCL-C Scale between PTSD group and the control group(46.38±6.96，25.57±6.09) was statistically significant ( t=11.33, P <0.05). Correlation analysis showed that Avg-HbO in left dorsolateral prefrontal lobe was negatively correlated with PCL-C Score ( r=-0.37, P <0.05). Mann Whitney U test showed that in the left dorsolateral prefrontal lobe (Ch6), the Avg-HbO change in PTSD group [0.19(-0.09, 0.86)mmol/(L〖KG*7〗·mm)] was significantly lower than the control group [0.79( 0.37 , 1.47)mmol/(L ·mm)] ( Z=2.16, P <0.05), which was statistically significant. Conclusions The degree of PTSD was negatively correlated with the index of oxygenated hemoglobin in the left dorsolateral prefrontal lobe, and the oxygenated hemoglobin content in the PTSD group was lower than that in the normal group. In the future, fNIRS may be used to collect blood oxygen signals from the left dorsolateral prefrontal lobe in cognitive tasks to provide imaging evidence for the identification of PTSD.

Objective To investigate the effect of chemokine CXC ligand 9(CXCL9)on cognitive function impairment in patients with breast cancer brain metastases undergoing whole-brain radiotherapy(WBRT)using bioinformatics methods.Methods The mRNA of breast cancer brain metastases datasets GSE43837 and GSE12276 and Alzheimer's disease(AD)dataset GSE161199 were screened and downloaded from GEO database.Limma method and Venn diagrams were used to identify common differentially expressed genes(DEGs),and protein-protein interaction and functional prediction through GeneMANIA website assays were performed.A total of 42 patients with breast cancer brain metastases who first visited the Department of Radiotherapy at the First Affiliated Hospital of Hebei North University from January 2021 to January 2023 were selected.Patients were divided into normal cognitive function group and cognitive function impairment group based on cognitive status.Enzyme-linked immunosorbent assay(ELISA)was employed to detect serum CXCL9 levels one week before and three months after radiotherapy.The mini-mental state examination(MMSE)was used to assess patients'cognitive function.Results The DEGs from datasets GSE43837 and GSE12276 included PKP1,POLDIP2,SPAG5,ALDOC,PTPRZ1,PKIA,TLCD1,CPE,PMP22 and CXCL9.The DEGs from GSE161199 included RPS16,CD79A,LYPD3,RPL28,HBG2,RPL23AP7,TRNR,CXCL9.Venn diagram showed that CXCL9 was a common DEG between breast cancer brain metastasis and AD.Functional enrichment analysis indicated that CXCL9 was involved in cellular responses to chemokines,negative regulation of immune system processes,negative regulation of vascular morphogenesis,Toll-like receptor signaling pathway,nucleotide oligomerization domain(NOD)-like receptor signaling pathway,and JAK-STAT signaling pathway.Before radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 61.9%and 38.1%,respectively,with a statistically significant difference in MMSE scores[(24.53±2.19)vs.(28.89±1.36),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had a significantly increased number of brain metastases and significantly lower Karnofsky performance status(KPS)scores and serum CXCL9 levels(P＜0.05).Three months after radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 47.6%and 52.4%,respectively,with a statistically significant difference in MMSE scores[(25.16±1.98)vs.(28.18±1.08),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had significantly lower CXCL9 levels(P=0.003).In patients with normal cognitive function,CXCL9 levels were remarkably lower after radiotherapy compared to those before radiotherapy(P=0.009).Conclusions Patients with cognitive function impairment had significantly lower CXCL9 levels than those with normal cognitive function,and whole-brain radiotherapy may be related to a certain degree of reduction in CXCL9 levels.

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
Male ; Humans ; Prostate/pathology* ; Prostate-Specific Antigen/analysis* ; Prostatic Neoplasms/diagnostic imaging* ; Biopsy ; Nomograms ; Retrospective Studies

OBJECTIVE: To explore whether casticin (CAS) suppresses stemness in cancer stem-like cells (CSLCs) obtained from human cervical cancer (CCSLCs) and the underlying mechanism. METHODS: Spheres from HeLa and CaSki cells were used as CCSLCs. DNA methyltransferase 1 (DNMT1) activity and mRNA levels, self-renewal capability (Nanog and Sox2), and cancer stem cell markers (CD133 and CD44), were detected by a colorimetric DNMT activity/inhibition assay kit, quantitative real-time reverse transcription-polymerase chain reaction, sphere and colony formation assays, and immunoblot, respectively. Knockdown and overexpression of DNMT1 by transfection with shRNA and cDNA, respectively, were performed to explore the mechanism for action of CAS (0, 10, 30, and 100 nmol/L). RESULTS: DNMT1 activity was increased in CCSLCs compared with HeLa and CaSki cells (P<0.05). In addition, HeLa-derived CCSLCs transfected with DNMT1 shRNA showed reduced sphere and colony formation abilities, and lower CD133, CD44, Nanog and Sox2 protein expressions (P<0.05). Conversely, overexpression of DNMT1 in HeLa cells exhibited the oppositive effects. Furthermore, CAS significantly reduced DNMT1 activity and transcription levels as well as stemness in HeLa-derived CCSLCs (P<0.05). Interestingly, DNMT1 knockdown enhanced the inhibitory effect of CAS on stemness. As expected, DNMT1 overexpression reversed the inhibitory effect of CAS on stemness in HeLa cells. CONCLUSION CAS effectively inhibits stemness in CCSLCs through suppression of DNMT1 activation, suggesting that CAS acts as a promising preventive and therapeutic candidate in cervical cancer.
Female ; Humans ; Cell Line, Tumor ; HeLa Cells ; Neoplastic Stem Cells/metabolism* ; RNA, Small Interfering/metabolism* ; Uterine Cervical Neoplasms/metabolism*

Humans ; Multiple Myeloma/drug therapy* ; Feasibility Studies ; Antibodies, Monoclonal/adverse effects* ; Dexamethasone/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols

Objective:To analyze the fail mode of neoadjuvant therapy combined with surgery for locally advanced esophageal squamous cell carcinoma (ESCC) after long-term follow-up.Methods:Clinical data of consecutive 238 patients with locally advanced resectable ESCC who underwent neoadjuvant therapy combined with surgery in Zhejiang Cancer Hospital from September 2012 to October 2019 were retrospectively analyzed. The failure mode in the whole cohort was analyzed after long-term follow-up. The overall survival (OS) and disease free survival (DFS) rates were analyzed by Kaplan-Meier method. Survival differences were determined by log-rank test.Results:The pathological complete response (pCR) rate was 42.0% in 238 patients. After a median follow-up of 46.1 months, tumor progression occurred in 96 patients (40.3%), including 25 patients (10.5%) with local recurrence, 61 patients (25.6%) with distant metastases, and 10 patients (4.2%) with simultaneous local recurrence and distant metastases. The median OS and DFS were 64.7 months and 49.9 months. And the 3-, 5-, and 7-year OS and DFS rates were 70.0%, 52.8%, 36.4% and 63.5%, 42.5%, and 30.0%, respectively. The 3-, 5-, and 7-year locoregional recurrence-free survival rates and distant metastasis-free survival rates were 86.0%, 71.4%, 61.2% and 70.6%, 55.9%, 43.0%. Compared with non-pCR patients, the overall progression rate and distant metastasis rate of pCR patients were lower (26.0% vs. 50.7%, 16.0% vs. 32.6%, both P<0.05). And the 3-, 5-, and 7-year OS (83.0% vs. 60.2%, 69.7% vs. 41.7%, 50.4% vs. 27.7%, all P<0.001) and DFS rates (80.4% vs. 51.4%, 63.9% vs. 31.2%, 45.9% vs. 20.3%, all P<0.001) were significantly better in pCR patients. Conclusions:Distant metastasis is the main failure mode of patients with locally advanced ESCC after neoadjuvant therapy. Patients with postoperative pCR can achieve better long-term survival.

Objective: Functional near infrared spectroscopy (fNIRS) was used to assess brain oxygenated hemoglobin (Oxy Hb) activation in college students with different sleep quality under the verbal fluency task (VFT), so as to better provide a theoretical basis for the neural mechanism for sleep quality improvement of college students. Methods: A simple random sampling method was used to investigate 96 college students from one university during 2020 and 2021. According to the results of the Pittsburgh Sleep Quality Index(PSQI), participants were divided into 3 groups: good sleep quality group( n =45), moderate group( n =33), and poor group( n =18). The 53 channel near infrared spectroscopy to collect cerebral blood oxygen signals under the VFT task. Association between oxygenated hemoglobin with sleep quality was analyzed. Results: About 18.75% of college students reported sleep quality problems, including long sleep latency (0.97±0.97) and poor subjective sleep quality (0.96±0.72). There was a significant negative correlation between PSQI score and average oxygenated hemoglobin (Avg HbO) index of dorsolateral prefrontal lobe ( r =-0.23, P =0.03). The Avg HbO index differed significantly between good and poor sleep quality groups on dorsolateral prefrontal lobe( P =0.05). Conclusion This study verified that there is a positive correlation between sleep quality and cognitive ability among college students. The fNIRS technique could accurately collect blood oxygen signals from dorsolateral prefrontal lobe during cognitive tasks, which proves to be an effective tool for identifying sleep quality of college students.