Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

ObjectiveTo explore the spatial distribution patterns of flavonoid glycosides in Epimedium sagittatum and the influences of environmental factors on the accumulation of these components. MethodsThe spatial statistical analysis and GeoDetector model were used to analyze the distribution patterns of epimedin A，epimedin B，epimedin C，icariin，and total flavonoid glycosides in E. sagittatum samples from 92 different production areas in 36 cities of 13 provinces/municipalities/autonomous regions of China，as well as the effects of 28 environmental factors on the accumulation of each component. ResultsThe average content of flavonoid glycosides 64 （69.56%） producing areas and 30 （83.33%） cities met the quality standard of no less than 1.50% of total flavonoid glycosides in the 2020 edition of Chinese Pharmacopoeia.Epimedin A，epimedin B，epimedin C，icariin，and their sum showed significantly high accumulation.The hot spots regions of epimedin A and epimedin B were similar with each other，mainly located in western Hunan，eastern Hubei，eastern Guizhou，and northern Guangxi.The common hot spot areas of epimedin C and total flavonoid glycosides were in western and southwestern Hunan，southern Henan，northern Anhui，eastern Guizhou，and southern Chongqing.The hot spots areas of icariin were in southern Chongqing，western Hunan，and eastern and northeastern Guizhou.The interactions between environmental factors had stronger explanatory power for the accumulation of components than single factors.The strongest single factor and interactive factor affecting the accumulation of epimedin C were precipitation of wettest quarter （q=0.16） and its interaction with temperature seasonality （q=0.35），respectively.The strongest single factor influencing both the accumulation of icariin and total flavonoid glycosides was the precipitation of coldest quarter （q equals 0.15 and 0.22，respectively）.The strongest interactions were observed between precipitation of coldest quarter and gravel content （q=0.34），as well as between precipitation of coldest quarter and aspect （q=0.35）. ConclusionThirteen cities，including Zhumadian and Nanyang in Henan，Huaihua，Shaoyang，and Zhangjiajie in Hunan，and Zunyi，Qiandongnan，and Tongren in Guizhou，were hot spots of total flavonoid glycosides in E.sagittatum.Precipitation，gravel content，temperature seasonality，and aspect significantly influence the accumulation of flavonoid glycosides in E.sagittatum.This study provides reference for the utilization and production zoning of E.sagittatum.

Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.

Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

Objective To analyze the potential distribution and quality zoning of Gentiana farreri Balf.f.;To provide a theoretical basis for the conservation,sustainable utilization,and domestication of this Tibetan medicine resource.Methods The MaxEnt model and geographic information system software ArcGIS 10.2 were used to conduct ecological suitability zoning of Gentiana farreri Balf.f.in China through searching online specimen libraries and field investigations.SPSS25.0 software was used to construct a relationship model between indicator components and ecological factors,combined with ArcGIS software spatial analysis technology,to form a quality zoning of Gentiana farreri Balf.f.medicinal material.Results The primary environmental factors influencing the ecological suitability of Gentiana farreri Balf.f.were altitude,precipitation in May,April and December,and the mean monthly diurnal temperature range.The most suitable growth areas for Gentiana farreri Balf.f.were predominantly found at the junction of Gansu,Sichuan and Qinghai provinces,certain parts of Tibet,and selected regions of Sichuan.The southern part of Tibet and the southwestern part of Sichuan were identified as having higher comprehensive quality of Gentiana farreri Balf.f.medicinal materials.Conclusion The findings of this study can serve as a reference for the production planning and quality assessment of Gentiana farreri Balf.f.

Lamiophlomis Herba， one of the medicinal herbs commonly used by the Tibetan ethnic minority， has the effect of activating blood， stopping bleeding， dispelling wind， and relieving pain and is frequently used to treat trauma， traumatic bleeding， rheumatic arthralgia， and dampness and dampness-heat. By a review of ancient Tibetan medicine classics， materia medica classics， and modern literature， this paper systematically analyzed the name， nature， taste， original plant， medicinal part， harvest， processing， efficacy， and indications of Lamiophlomis Herba. The textual research showed that Lamiophlomis Herba was first recorded in the Somaratsa （《月王药诊》） in the middle of the eighth century. This medicinal herb was mainly recorded with a plain and warm nature and a sweet， bitter， and astringent taste. The herb was recorded as non-toxic in other books except the Tibetan Medicinal Plants in Gannan of Qinghai-Tibet Plateau （《青藏高原甘南藏药植物志》）. In the books of the past dynasties， the aboveground part of Lomiophlomis rotatd was used as medicine. In addition， there were also records of using the whole herbs of Ajuga ovalifolia， A. ovalifolia var. calantha， and Oreosolen wattii as the medicine. In ancient times， the herb was mainly harvested before Frost's Descent in the 8^th-9^th months of the lunar calendar， while it was mainly harvested during the flowering-fruiting stage in autumn in modern times. Due to the decreased reserve of Lamiophlomis Herba， the medicinal part evolved from whole herb or fresh leaves to the aboveground part. According to the ancient and modern records， this herb mainly has the functions of nourishing bone and marrow， eliminating dampness and dampness-heat， stopping bleeding， and relieving pain. In ancient times， it was used for treating parasitic diseases， menostaxis， spermatorrhea， diarrhea， and nourishing the body. This paper aims to provide a basis for further development and study of Lamiophlomis Herba through the textual research.

Objective:To explore the effect of clinical target volume (CTV) optimization on long-term survival and late xerostomia of patients with nasopharyngeal carcinoma (NPC).Methods:Clinical data of 763 patients with NPC treated with intensity-modulated radiotherapy (IMRT) in the Jiangsu Cancer Hospital from January 2015 to November 2018 were retrospectively analyzed. All patients were divided into the modified and conventional CTV groups. Propensity score matching (PSM) was applied to balance the distribution of baseline features. The degree of xerostomia was evaluated by Radiation Therapy Oncology Group (RTOG) / European Organisation for Research and Treatment of Cancer (EORTC) standard and Jiangsu Cancer Hospital Multi-dimensional Radiotherapy-Induced Xerostomia scale. Survival analysis was performed by Kaplan-Meier method. The difference of xerostomia between two groups was compared by rank-sum test. The dose parameters of salivary glands were compared by independent sample t-test. Prognostic factors of survival and xerostomia were assessed by univariate / multivariate regression analyses. Results:There were no significant differences in overall survival, local recurrence-free survival, distant metastasis-free survival and progression-free survival between conventional and modified CTV groups before and after PSM. There were no significant differences in the incidence of late xerostomia above grade 2 of RTOG/EORTC standard between two groups. Using multi-dimensional scale criteria, NPC patients in the modified CTV group developed less late xerostomia than those in the conventional CTV group ( P<0.05). D mean and V 26 Gy of bilateral parotid glands, D mean and V 39 Gy of bilateral submandibular glands, and D mean of sublingual glands and mouths were reduced after optimization of CTV (all P<0.001). Univariate analysis showed that clinical staging, T staging and N staging were the independent prognostic factors of overall survival. Multivariate analysis demonstrated that clinical staging was the independent prognostic factor of overall survival. The risk factor for xerostomia during night sleep was the D mean of sublingual glands. Conclusion:The optimization of CTV in IIb region in NPC treated with IMRT can better protect salivary glands and reduce the incidence of late radiation-induced xerostomia on the premise of ensuring long-term survival.