Objective:We study the prognostic value of TNM stage and L3-skeletal muscle mass index in overall survival(OS)in elderly patients with colorectal cancer after surgery.Furthermore, investigate the prognostic value of combined scoring system(TNM-SMI score)in patients with colorectal cancer.Methods:From January 1, 2018 to January 31, 2019, the clinical data of elderly patients who were diagnosed with colorectal cancer for the first time in Longyan First Hospital, Fujian Medical University were retrospectively analyzed.The baseline data were compared in patients with different TNM stage and L3SMI.The relevant factors that might affect the prognosis of the patients were analyzed to determine the independent risk factors in cox regression analyses.Survival curves were plotted by using the Kaplan-Meier method, and Log-rank test was used to compare Overall Survival.Predictive efficacy was compared by plotting (ROC)curve and calculating the area under the curve(AUC).Results:A total of 128 eligible patients aged 65-88(73.96±6.20)years were enrolled.Among them, 82 were male.Univariate and multifactorial cox regression analyses showed that TNM stage( HR=3.944, 95% CI: 1.519-10.237, P<0.05)and L3SMI( HR=3.194, 95% CI: 1.222-8.349, P<0.05)were the independent risk factors for OS in elderly colorectal cancer patients; Survival curves plotted by Kaplan-Meier method showed that the 5-year survival rate(OS rate)of patients in TNM(Ⅲ and Ⅳ)group was lower than in TNM(Ⅰ and Ⅱ)group(58.8% vs.88.9%, P<0.001), and the 5-year survival rate(OS rate)of patients in low L3SMI group was lower than in high L3SMI group(51.0% vs.88.3%, P<0.001); Elderly colorectal patients were risk stratified by TNM-SMI score, the patients with higher score had worse 5-year OS rate; The AUC of L3SMI, TNM stage, and TNM-SMI score are 0.729, 0.695, and 0.800. Conclusions:The TNM stage and L3SMI are independent risk factors of OS after colorectal cancer surgery; TNM-SMI score, which combines TNM stage and L3SMI, can predict prognosis more efficiency compare to single-factor.The higher TNM-SMI score had the worse prognosis; TNM stage in combination with L3SMI improves the efficiency prediction of OS after colorectal cancer surgery.

Objective:To investigate the prognostic impact of perineural invasion in patients with stageⅢ colon cancer and to clarify its guidance value for the duration of postoperative adjuvant chemotherapy.Methods:This study employed a retrospective cohort study method. It analyzed 426 patients with stageⅢ colon cancer who underwent radical surgery at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, between April 2008 and June 2020. Inclusion criteria: patients received at least 3 months of adjuvant CapeOX therapy post-surgery, had complete pathological data, and were followed up for at least 12 months after the last chemotherapy. Among these patients, 231 were male, the median age was 59 (50~67) years, and 263 tumors were located in the right-sided colon. Postoperative pathology indicated that 107 cases (25.12%) had neural invasion, and 131 patients (30.75%) had vascular tumor thrombus. All patients received at least 4 cycles of postoperative CapeOX adjuvant chemotherapy, with 193 patients receiving 8 cycles and 233 patients receiving 4 to 7 cycles of adjuvant chemotherapy. The study analyzed the impact of neural invasion status and the duration of adjuvant chemotherapy on disease-free survival (DFS). Furthermore, within subgroups stratified by different risk levels (referencing the criteria proposed by the IDEA study: high risk: T4, N2 or T4N2; low risk: T3N1) and different neural invasion statuses, the impact of the duration of adjuvant chemotherapy on prognosis was analyzed.Results:The median follow-up time for the entire cohort was 94.00 months (55.27-128.80 months). Multivariate Cox analysis indicated that pathological T stage T4 (HR = 2.457, 95%CI: 1.499-4.029, P<0.001) and postoperative pathological confirmation of perineural invasion (HR = 2.465, 95% CI: 1.519-4.000, P<0.001) were independent adverse prognostic factors for 5-year DFS. In the perineural invasion-positive group, the 5-year DFS for patients who received 8 cycles of postoperative adjuvant CapeOX chemotherapy was 86.90%, compared to 58.22% for those who received 4-7 cycles, with statistically significant differences (both P<0.05). In the perineural invasion-negative group, the 5-year DFS for patients who received 8 cycles was 88.66%, compared to 90.99% for those who received 4-7 cycles, with no statistically significant differences ( P=0.929). Among IDEA high-risk patients with perineural invasion, the 5-year DFS was 91.81% for those who received 8 cycles versus 50.66% for those who received 4-7 cycles, showing a statistically significant difference ( P=0.003). In IDEA high-risk patients without perineural invasion, the 5-year DFS for those who received 8 cycles was 82.28% compared to 87.32% for those who received 4-7 cycles, with no statistically significant difference ( P=0.806). In the IDEA low-risk patients, no differences were observed in the 5-year DFS between patients receiving 8 cycles and those receiving 4-7 cycles of adjuvant CapeOX chemotherapy in both perineural invasion-positive and negative subgroups (both P>0.05). Conclusion:Perineural invasion serves as a significant prognostic factor for 5-year DFS in stage Ⅲ colon cancer patients who have undergone radical surgery and postoperative adjuvant chemotherapy. It can also be considered an important reference factor in deciding the duration of postoperative adjuvant chemotherapy.

With the continuous development of imaging techniques such as magnetic resonance imaging,the detection rate of brain metastases is increasing.Although the incidence rate of cystic brain metastasis is far lower than that of solid brain metastasis,patients with cystic brain metastasis are in urgent condition and have obvious space occupying effect,which is an urgent clinical problem.Previous literature has reported that cystic brain metastasis is more common in breast cancer and lung adenocarcinoma,especially in lung cancer patients with positive driver gene.This article reports a case of small cell lung cancer with cystic brain metastasis,which started with neurological symptoms,and was clinically cured under a multidisciplinary diagnosis and treatment model.Through dynamic imaging evaluation and molecular residual lesion detection,the patient can avoid overtreatment and achieved a relatively higher quality of life on the basis of prolonging survival.

Objective:To investigate the prognostic impact of perineural invasion in patients with stageⅢ colon cancer and to clarify its guidance value for the duration of postoperative adjuvant chemotherapy.Methods:This study employed a retrospective cohort study method. It analyzed 426 patients with stageⅢ colon cancer who underwent radical surgery at Sun Yat-sen University Cancer Center and Longyan First Affiliated Hospital of Fujian Medical University, between April 2008 and June 2020. Inclusion criteria: patients received at least 3 months of adjuvant CapeOX therapy post-surgery, had complete pathological data, and were followed up for at least 12 months after the last chemotherapy. Among these patients, 231 were male, the median age was 59 (50~67) years, and 263 tumors were located in the right-sided colon. Postoperative pathology indicated that 107 cases (25.12%) had neural invasion, and 131 patients (30.75%) had vascular tumor thrombus. All patients received at least 4 cycles of postoperative CapeOX adjuvant chemotherapy, with 193 patients receiving 8 cycles and 233 patients receiving 4 to 7 cycles of adjuvant chemotherapy. The study analyzed the impact of neural invasion status and the duration of adjuvant chemotherapy on disease-free survival (DFS). Furthermore, within subgroups stratified by different risk levels (referencing the criteria proposed by the IDEA study: high risk: T4, N2 or T4N2; low risk: T3N1) and different neural invasion statuses, the impact of the duration of adjuvant chemotherapy on prognosis was analyzed.Results:The median follow-up time for the entire cohort was 94.00 months (55.27-128.80 months). Multivariate Cox analysis indicated that pathological T stage T4 (HR = 2.457, 95%CI: 1.499-4.029, P<0.001) and postoperative pathological confirmation of perineural invasion (HR = 2.465, 95% CI: 1.519-4.000, P<0.001) were independent adverse prognostic factors for 5-year DFS. In the perineural invasion-positive group, the 5-year DFS for patients who received 8 cycles of postoperative adjuvant CapeOX chemotherapy was 86.90%, compared to 58.22% for those who received 4-7 cycles, with statistically significant differences (both P<0.05). In the perineural invasion-negative group, the 5-year DFS for patients who received 8 cycles was 88.66%, compared to 90.99% for those who received 4-7 cycles, with no statistically significant differences ( P=0.929). Among IDEA high-risk patients with perineural invasion, the 5-year DFS was 91.81% for those who received 8 cycles versus 50.66% for those who received 4-7 cycles, showing a statistically significant difference ( P=0.003). In IDEA high-risk patients without perineural invasion, the 5-year DFS for those who received 8 cycles was 82.28% compared to 87.32% for those who received 4-7 cycles, with no statistically significant difference ( P=0.806). In the IDEA low-risk patients, no differences were observed in the 5-year DFS between patients receiving 8 cycles and those receiving 4-7 cycles of adjuvant CapeOX chemotherapy in both perineural invasion-positive and negative subgroups (both P>0.05). Conclusion:Perineural invasion serves as a significant prognostic factor for 5-year DFS in stage Ⅲ colon cancer patients who have undergone radical surgery and postoperative adjuvant chemotherapy. It can also be considered an important reference factor in deciding the duration of postoperative adjuvant chemotherapy.

With the continuous development of imaging techniques such as magnetic resonance imaging,the detection rate of brain metastases is increasing.Although the incidence rate of cystic brain metastasis is far lower than that of solid brain metastasis,patients with cystic brain metastasis are in urgent condition and have obvious space occupying effect,which is an urgent clinical problem.Previous literature has reported that cystic brain metastasis is more common in breast cancer and lung adenocarcinoma,especially in lung cancer patients with positive driver gene.This article reports a case of small cell lung cancer with cystic brain metastasis,which started with neurological symptoms,and was clinically cured under a multidisciplinary diagnosis and treatment model.Through dynamic imaging evaluation and molecular residual lesion detection,the patient can avoid overtreatment and achieved a relatively higher quality of life on the basis of prolonging survival.

Objective:We study the prognostic value of TNM stage and L3-skeletal muscle mass index in overall survival(OS)in elderly patients with colorectal cancer after surgery.Furthermore, investigate the prognostic value of combined scoring system(TNM-SMI score)in patients with colorectal cancer.Methods:From January 1, 2018 to January 31, 2019, the clinical data of elderly patients who were diagnosed with colorectal cancer for the first time in Longyan First Hospital, Fujian Medical University were retrospectively analyzed.The baseline data were compared in patients with different TNM stage and L3SMI.The relevant factors that might affect the prognosis of the patients were analyzed to determine the independent risk factors in cox regression analyses.Survival curves were plotted by using the Kaplan-Meier method, and Log-rank test was used to compare Overall Survival.Predictive efficacy was compared by plotting (ROC)curve and calculating the area under the curve(AUC).Results:A total of 128 eligible patients aged 65-88(73.96±6.20)years were enrolled.Among them, 82 were male.Univariate and multifactorial cox regression analyses showed that TNM stage( HR=3.944, 95% CI: 1.519-10.237, P<0.05)and L3SMI( HR=3.194, 95% CI: 1.222-8.349, P<0.05)were the independent risk factors for OS in elderly colorectal cancer patients; Survival curves plotted by Kaplan-Meier method showed that the 5-year survival rate(OS rate)of patients in TNM(Ⅲ and Ⅳ)group was lower than in TNM(Ⅰ and Ⅱ)group(58.8% vs.88.9%, P<0.001), and the 5-year survival rate(OS rate)of patients in low L3SMI group was lower than in high L3SMI group(51.0% vs.88.3%, P<0.001); Elderly colorectal patients were risk stratified by TNM-SMI score, the patients with higher score had worse 5-year OS rate; The AUC of L3SMI, TNM stage, and TNM-SMI score are 0.729, 0.695, and 0.800. Conclusions:The TNM stage and L3SMI are independent risk factors of OS after colorectal cancer surgery; TNM-SMI score, which combines TNM stage and L3SMI, can predict prognosis more efficiency compare to single-factor.The higher TNM-SMI score had the worse prognosis; TNM stage in combination with L3SMI improves the efficiency prediction of OS after colorectal cancer surgery.

To investigate tick species and prevalence of Anaplasmataceae and spotted fever group Rickettsia(SFGR)in ticks collected from sheep and goats in Leibo county,Sichuan Province.Ticks were preliminary identified by morphological characters and the genomic DNAs of ticks were ex-tracted.Molecular detection was performed by PCR targeting gene fragment of tick ITS-2,gltA and ompA genes of Rickettsia spp.,16S rRNA and rpoB genes of Anaplasma spp.and Ehrlichia spp.Positive PCR products were sequenced and phylogenetic trees were built based on these genes.The results showed that a total of 353 adult ticks collected from sheep and goats were identified as H.longicornis.The total prevalence of SFGR in H.longicornis was 22.66％(80/353)with only R.raoultii detected,which was closely related to R.raoultii(JQ792163)isolated from Dermacentor niveus in Tibet.The total prevalence of Anaplasmataceae was 87.82％(310/353)with six Ana-plasma species(A.bovis,A.capra,A.marginale,Anaplasma cf.marginale,Anaplasma sp.,Can-didatus A.mediterraneum)and two Ehrlichia species(E.chaffeensis and Ehrlichia sp.)detec-ted.Go-infection was found in some H.longicornis as high as 7.37％(26/353).The results indica-ted that H.longicornis may be the dominant tick species in Leibo county with high infections rates of Anaplasmataceae and SFGR.The close monitoring of the tick-borne pathogens should be strengthened in the future research work.

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Objective To explore the relationship between alterations of neural network plasticity and spatial learning and memory functions in mouse models with depression-like behaviors.Methods C57Thy1-YFP/GAD67-GFP mice were randomized into control group(with no treatment)and chronic unpredictable mild stress(CUMS)group(n=15)subjected to CUMS for 8 weeks.Depression-like behaviors of the mice were assessed using sucrose preference test,open field test,and forced swimming test,and their spatial learning and memory abilities were evaluated using Morris water maze test.The changes in the firing patterns of different neuronal subtypes were detected in the central nucleus of the amygdala(CeA)and the prelimbic cortex(PrL)using whole-cell patch-clamp technique.Results Compared with the control mice,CUMS mice showed significantly decreased sucrose preference,total distance moved,number of grid-crossings,entries into the central area,and time spent in the central area in the open field test(P<0.01).In the forced swimming test,CUMS mice exhibited obviously shortened time of struggling,swimming,and climbing with increased immobility time.In Morris water maze test,CUMS mice showed significantly increased escape latency and path length,decreased percentage of distance and swimming time within the target quadrant,and increased first entry latency into the target zone and swimming time within the opposite quadrant.Exposure to CUMS resulted in significantly enhanced energy barrier and increased absolute refractory period and inter-spike interval of glutamatergic neurons in the CeA and GABAergic neurons in the PrL,while the opposite changes were observed in GABAergic neurons in the CeA and glutamatergic neurons in the PrL.Conclusion CUMS-induced depression may lead to plastic changes in the excitatory and inhibitory neuronal networks within the CeA and PrL to cause impairment of spatial learning and memory abilities in mice.

Objective To explore the relationship between alterations of neural network plasticity and spatial learning and memory functions in mouse models with depression-like behaviors.Methods C57Thy1-YFP/GAD67-GFP mice were randomized into control group(with no treatment)and chronic unpredictable mild stress(CUMS)group(n=15)subjected to CUMS for 8 weeks.Depression-like behaviors of the mice were assessed using sucrose preference test,open field test,and forced swimming test,and their spatial learning and memory abilities were evaluated using Morris water maze test.The changes in the firing patterns of different neuronal subtypes were detected in the central nucleus of the amygdala(CeA)and the prelimbic cortex(PrL)using whole-cell patch-clamp technique.Results Compared with the control mice,CUMS mice showed significantly decreased sucrose preference,total distance moved,number of grid-crossings,entries into the central area,and time spent in the central area in the open field test(P<0.01).In the forced swimming test,CUMS mice exhibited obviously shortened time of struggling,swimming,and climbing with increased immobility time.In Morris water maze test,CUMS mice showed significantly increased escape latency and path length,decreased percentage of distance and swimming time within the target quadrant,and increased first entry latency into the target zone and swimming time within the opposite quadrant.Exposure to CUMS resulted in significantly enhanced energy barrier and increased absolute refractory period and inter-spike interval of glutamatergic neurons in the CeA and GABAergic neurons in the PrL,while the opposite changes were observed in GABAergic neurons in the CeA and glutamatergic neurons in the PrL.Conclusion CUMS-induced depression may lead to plastic changes in the excitatory and inhibitory neuronal networks within the CeA and PrL to cause impairment of spatial learning and memory abilities in mice.