Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective The objective of this study was to investigate the effects of propofol on glycolysis of lung cancer,and to further explore its potential mechanism of inhibiting glycolysis in lung cancer through glucose transporter 4(GLUT4).Methods Human lung cancer A549 cells and mouse lung cancer LLC cells were cultured,and the experimental groups were set as the blank control group(Control group)and propofol(10μmol/L)group(Propofol group).The CCK-8 assay was used to detect cell viability;Immunofluorescence(IF)was used to detect the expression of Ki-67 in lung cancer cells and A549 cell xenografts.Extracellular acidi-fication rate(ECAR)and mitochondrial oxygen consumption(OCR)assays were used to detect the cellular metabolic levels;ELISA was used to detect the cell lactate and pyruvate content;Molecular docking experiments were used to detect the binding ability of GLUT4 with propofol using CB-Dock online tool;The glucose uptake kit was used to detect glucose uptake;Western blot was used to detect the expression of GLUT4,HK2,and PFK1 proteins in lung cancer cells.Results The cell viability of A549 cells(0.661±0.052)and LLC cells(0.632±0.033)in the propofol group was significantly inhibited by 10 μmol/L of propofol in lung cancer cells(P＜0.001).Compared with the control group,the average fluorescence intensity of Ki-67 in A549 and LLC positive cells(0.663±0.064 and 0.540±0.070)was significantly suppressed(P＜0.001).The ELISA results showed that compared with the control group,the levels of lactate and pyruvate in the propofol group decreased(P＜0.001),and under the action of propofol,the glucose uptake ability of cells decreased(P＜0.001).Molecular docking experiments using the CB-Dock online tool showed that GLUT4 had the strongest binding force with propofol.The results of Western blot showed a decrease in the expression of GLUT4 and its downstream HK2 and PFK1 pro-teins.After transient transfection and knockdown of GLUT4,cellular lactate(P＜0.001)and pyruvate content(P＜0.01)decreased,glu-cose uptake capacity reduced,and the inhibitory effect of propofol on glycolysis disappeared.In A549 cell xenografts,the weight of xenografts in the propofol group was significantly smaller than that of the model group(P＜0.001).Compared with the model group,the lactate content and pyruvate content decreased in the propofol group(P＜0.001).Conclusion Propofol can inhibit the proliferation of lung cancer cells and the progression of A549 cell xenografts in bearing mice by inhibiting the glycolysis of lung cancer cells,and its mechanism may be related to the targeted effect of GLUT4 on the glycolysis of lung cancer cells.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

BACKGROUND: The effect of intra-operative chemotherapy (IOC) on the long-term survival of patients with colorectal cancer (CRC) remains unclear. In this study, we evaluated the independent effect of intra-operative infusion of 5-fluorouracil in combination with calcium folinate on the survival of CRC patients following radical resection. METHODS: 1820 patients were recruited, and 1263 received IOC and 557 did not. Clinical and demographic data were collected, including overall survival (OS), clinicopathological features, and treatment strategies. Risk factors for IOC-related deaths were identified using multivariate Cox proportional hazards models. A regression model was developed to analyze the independent effects of IOC. RESULTS: Proportional hazard regression analysis showed that IOC (hazard ratio [HR]=0.53, 95% confidence intervals [CI] [0.43, 0.65], P  < 0.001) was a protective factor for the survival of patients. The mean overall survival time in IOC group was 82.50 (95% CI [80.52, 84.49]) months, and 71.21 (95% CI [67.92, 74.50]) months in non-IOC group. The OS in IOC-treated patients were significantly higher than non-IOC-treated patients ( P  < 0.001, log-rank test). Further analysis revealed that IOC decreased the risk of death in patients with CRC in a non-adjusted model (HR=0.53, 95% CI [0.43, 0.65], P  < 0.001), model 2 (adjusted for age and gender, HR=0.52, 95% CI [0.43, 0.64], P  < 0.001), and model 3 (adjusted for all factors, 95% CI 0.71 [0.55, 0.90], P  = 0.006). The subgroup analysis showed that the HR for the effect of IOC on survival was lower in patients with stage II (HR = 0.46, 95% CI [0.31, 0.67]) or III disease (HR=0.59, 95% CI [0.45, 0.76]), regardless of pre-operative radiotherapy (HR=0.55, 95% CI [0.45, 0.68]) or pre-operative chemotherapy (HR=0.54, 95% CI [0.44, 0.66]). CONCLUSIONS: IOC is an independent factor that influences the survival of CRC patients. It improved the OS of patients with stages II and III CRC after radical surgery. TRIAL REGISTRATION chictr.org.cn, ChiCTR 2100043775.
Humans ; Fluorouracil/therapeutic use* ; Leucovorin/therapeutic use* ; Colorectal Neoplasms/pathology* ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Proportional Hazards Models ; Prognosis

Objective:The investigation and research on the application status of Hepatic Venous Pressure Gradient (HVPG) is very important to understand the real situation and future development of this technology in China.Methods:This study comprehensively investigated the basic situation of HVPG technology in China, including hospital distribution, hospital level, annual number of cases, catheters used, average cost, indications and existing problems.Results:According to the survey, there were 70 hospitals in China carrying out HVPG technology in 2021, distributed in 28 provinces (autonomous regions and municipalities directly under the central Government). A total of 4 398 cases of HVPG were performed in all the surveyed hospitals in 2021, of which 2 291 cases (52.1%) were tested by HVPG alone. The average cost of HVPG detection was (5 617.2±2 079.4) yuan. 96.3% of the teams completed HVPG detection with balloon method, and most of the teams used thrombectomy balloon catheter (80.3%).Conclusion:Through this investigation, the status of domestic clinical application of HVPG has been clarified, and it has been confirmed that many domestic medical institutions have mastered this technology, but it still needs to continue to promote and popularize HVPG technology in the future.

COVID-19, caused by SARS-COV-2, has the characteristics of world epidemic, highly infectious and large base of death. In China, transmission route of SARS-COV-2 has been contained so effectively that COVID-19 has been well controlled due to the proactive national prevention and control strategy. However, not only does it bring a huge impact on the existing medical structure model, but also an objective impact on the treatment of patients with chronic diseases such as malignant tumors. Based on the progress reported in the domestic and international literatures and the actual management experience of our team, this paper reflects on the treatment strategies for patients with gastrointestinal stromal tumor (GIST) during the epidemic period of COVID-19. We focus on risk stratification for primary GIST and forming treatment strategies accordingly. Major considerations include the impact of delayed operation, the burden of medical resources, the waiting time for elective operation, and the principle of emergency operation. In addition, we focus on the level of evidence for non-surgical approaches with a view to developing a holistic strategy of "priority management principles" to guide clinical treatment in the context of limited resources and different GIST priorities.
COVID-19 ; China ; Gastrointestinal Stromal Tumors ; Humans ; SARS-CoV-2

Objective:To explore the effects of expression level of long noncoding RNA (lncRNA) in peripheral blood mononuclear cells (PBMCs), chronic stress in childhood on cognitive function for providing scientific basis of prevention, intervention and rehabilitation of cognitive impairment in schizophrenia patients.Methods:Quantitative real-time PCR (qPCR) was used to screen lncRNA expression in peripheral blood mononuclear cells (PBMCs) of 100 schizophrenic patients who was recruited by convenient sampling, and all the patients were assessed by Montreal cognitive assessment-Beijing version (MoCA) and childhood chronic stress questionnaire (CCSQ). Mann-Whitney test, t-test, correlation analysis and regression analysis were employed for data processing. Results:The ΔCt values of NONHSAT089447(5.07), NONHSAT041499(8.56) were higher ( Z=-2.38, -2.07, P<0.05) and scores of all three CCSQ dimensions were lower in higher MoCA goup than those in lower MOCA group (peer bullying: 42.36±11.13 vs 50.84±9.09, abuse and neglect: 55.08±14.22 vs 69.56±13.45, adverse life events: 47.64±12.21 vs 55.80±13.92, t=-2.20--3.70, P<0.05 or 0.01). The ΔCt value of NONHSAT089447, NONHSAT041499 positively correlated with scores of visuospatial-executive, language, abstraction and delayed recall ( r=0.43-0.75, P<0.01). All three CCSQ dimensions negatively correlated with scores of visuospatial-executive, attention, language, abstract thinking and delayed recall ( r=-0.40--0.62, P<0.05 or 0.01). Multiple regression analysis showed that the ΔCt valueof NONHSAT089447, abuse and neglect in childhood significantly predicted the total score of MOCA, which could explained 31.9% of variation ( t=4.31, 5.89, P=0.007, 0.001). The ΔCt value of NONHSAT089447, NONHSAT041499 negatively correlated with peer bullying, abuse and neglect in childhood ( r=-0.39--0.53, all P<0.01). Conclusion:There are correlation in NONHSAT089447, NONHSAT041499 and chronic stress in childhood in patients with schizophrenia, which can jointly predict their cognitive function.

In December 2019, a new outbreak of coronavirus pneumonia began to occur. Its pathogen is 2019-nCoV, which has the characteristics of strong infectivity and general susceptibility. The current situation of prevention and control of new coronavirus pneumonia is severe. In this context, as front-line medical workers bearing important responsibilities and pressure, while through strict management strategy, we can minimize the risk of infection exposure. By summarizing the research progress and guidelines in recent years in the fields of colorectal cancer disease screening, treatment strategies(including early colorectal cancer, locally advanced colorectal cancer, obstructive colorectal cancer, metastatic colorectal cancer and the treatment of patients after neoadjuvant therapy), the choice of medication and time limit for adjuvant therapy, the protective measures for patients undergoing emergency surgery, the re-examination of postoperative patients and the protection of medical staff, etc., authors improve treatment strategies in order to provide more choices for patients to obtain the best treatment under the severe epidemic situation of new coronavirus pneumonia. Meanwhile we hope that it can also provide more timely treatment modeling schemes for colleagues.

Although the tumor suppressor P53 is known to regulate a broad network of signaling pathways, it is still unclear how certain drugs influence these P53 signaling networks. Here, we used a comprehensive single-cell multiomics view of the effects of ginsenosides on cancer cells. Transcriptome and proteome profiling revealed that the antitumor activity of ginsenosides is closely associated with P53 protein. A miRNA-proteome interaction network revealed that P53 controlled the transcription of at least 38 proteins, and proteome-metabolome profiling analysis revealed that P53 regulated proteins involved in nucleotide metabolism, amino acid metabolism and "Warburg effect". The results of integrative multiomics analysis revealed P53 protein as a potential key target that influences the anti-tumor activity of ginsenosides. Furthermore, by applying affinity mass spectrometry (MS) screening and surface plasmon resonance fragment library screening, we confirmed that 20()-protopanaxatriol directly targeted adjacent regions of the P53 DNA-binding pocket and promoted the stability of P53-DNA interactions, which further induced a series of omics changes.

Objective:Human adenovirus(HAdV) can cause a variety of diseases, and sometimes leads to outbreaks of respiratory diseases, this study determines to understand the detection status of human adenovirus in the pathogenic spectrum of different diseases.Methods:This study conducted Meta analysis on the detection rate of human adenovirus in 284 studies that met the inclusion criteria and included heterogeneity test, pooling rate by random effect model, Meta regression, sensitivity analysis and publication bias analysis.Results:The detection rate varied greatly and heterogeneity of 284 studies was relatively large. Different method were used to reduce or analyze the heterogeneity: the total detection rate by random effect model was 4.21% (95% CI: 3.80%~4.66%); the detection rates of each subgroup were gastrointestinal diseases 5.06% (95% CI: 4.22%~6.06%), respiratory diseases 3.97% (95% CI: 3.53%~4.46%), children 4.50% (95% CI: 4.06%~4.99%), adults 2.09% (95% CI: 1.22%~3.56%), antigen test 1.94% (95% CI: 1.64%~2.30%), nucleic acid test 5.82% (95% CI: 5.21%~6.49%), serum test 5.60% (95% CI: 4.17%~7.48%), eastern 3.67% (95% CI: 3.18%~4.24%), central 6.07% (95% CI: 5.20%~7.08%), western 5.00% (95% CI: 4.03%~6.18%), ≤1 000 sample size 6.10% (95% CI: 5.39%~6.91%), > 1 000 sample size 2.66% (95% CI: 2.32%~3.05%); the significant factors of Meta regression analysis were disease type, age, detection method, research area, sample size and adjusted R2=37.15%. Conclusions:This study suggests that the Meta analysis needs to be improved to conduct pooling detection rate like HAdV with great heterogeneity. Different disease types, age, detection method, research area, sample size account for part of the resources for heterogeneity.