Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective To analyze the occupational health literacy (OHL) level and its influencing factors of workers in non-metallic mineral product industry in Yunfu City. Methods A total of 947 frontline workers from 24 non-metallic mineral products enterprises in Yunfu City were selected as the research subjects using the stratified random sampling method. The OHL level of the workers were assessed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of the research subjects was 58.3% (552/947). The OHL levels across four dimensions, from highest to lowest, were basic knowledge of occupational health protection (94.7%), healthy work practices and behaviors (81.8%), legal knowledge of occupational health (65.5%), and basic skills of occupational health protection (25.9%). The results of binary logistic regression analysis showed that workers with 2.0-<10.0 years and ≥10 years of work experience had higher OHL levels than those with <2.0 years of work experience (all P<0.01). Workers with a high school education or above had higher OHL levels than those with a junior high school education or below (all P<0.01). Workers in large- and medium-sized enterprises had higher OHL levels than those in small and micro-sized enterprises (both P<0.01). Conclusion The OHL levels of workers in Yunfu City's non-metallic mineral products industry can be further improved, particularly the occupational health protection skills and related legal knowledge. Workers with short seniority, low educational level, and in small and micro enterprises should be the key groups for improving OHL levels.

Objective To explore the mechanism of GS-9620 in improving imiquimod(IMQ)-induced psoriasis-like inflammation by regulating the Th1/Th17-related immune response,and to investigate its regulatory effect on the gut microbiota in mice.Methods An IMQ-induced psoriasis-like inflammation model was established in BALB/c mice.The severity of the skin lesions was evaluated by psoriasis area and severity index(PASI)score.The proportions of CD4+interleukin(IL)-17+and CD4+interferon(IFN)-γ+cells in spleen tissue were detected by flow cytometry.Levels of the inflammatory factors tumor necrosis factor(TNF)-α,IL-1β,and IL-6 in skin tissues were determined by enzyme-linked immunosorbent assay,and pathological analysis was performed by hematoxylin/eosin staining.The effects of GS-9620 on the structure of the gut microbiota in control,IMQ model,and GS-9620-treated mice were detected by 16S rRNA sequencing.Results GS-9620 significantly reduced the PASI score in IMQ-induced mice and effectively reduced the proportions of CD4+IL-17+and CD4+IFN-γ+cells in the spleen.GS-9620 also significantly down-regulated the expression levels of TNF-α,IL-1β,and IL-6 in skin tissues.16S rRNA sequencing showed that GS-9620 significantly regulated the abundance of gut microbiota related to inflammation,including the relative abundances of bacteria such as Lachnospiraceae_NK4A136_group,Lachnospiraceae_UCG-008,Alloprevotella,Desulfovibrio,Prevotellaceae_UCG-001,and Alistipes.Conclusions GS-9620 effectively alleviates IMQ-induced psoriasis-like skin inflammation in mice by regulating the expression of Th1/Th17-related inflammatory factors.It may also improve IMQ-induced clinical symptoms by regulating the structure of the gut microbiota,thus providing a new theoretical basis for the treatment of psoriasis.The result of this study provide important experimental evidence to support further investigations into the application of GS-9620 for the treatment of psoriasis.

Objective To explore the mechanism of GS-9620 in improving imiquimod(IMQ)-induced psoriasis-like inflammation by regulating the Th1/Th17-related immune response,and to investigate its regulatory effect on the gut microbiota in mice.Methods An IMQ-induced psoriasis-like inflammation model was established in BALB/c mice.The severity of the skin lesions was evaluated by psoriasis area and severity index(PASI)score.The proportions of CD4+interleukin(IL)-17+and CD4+interferon(IFN)-γ+cells in spleen tissue were detected by flow cytometry.Levels of the inflammatory factors tumor necrosis factor(TNF)-α,IL-1β,and IL-6 in skin tissues were determined by enzyme-linked immunosorbent assay,and pathological analysis was performed by hematoxylin/eosin staining.The effects of GS-9620 on the structure of the gut microbiota in control,IMQ model,and GS-9620-treated mice were detected by 16S rRNA sequencing.Results GS-9620 significantly reduced the PASI score in IMQ-induced mice and effectively reduced the proportions of CD4+IL-17+and CD4+IFN-γ+cells in the spleen.GS-9620 also significantly down-regulated the expression levels of TNF-α,IL-1β,and IL-6 in skin tissues.16S rRNA sequencing showed that GS-9620 significantly regulated the abundance of gut microbiota related to inflammation,including the relative abundances of bacteria such as Lachnospiraceae_NK4A136_group,Lachnospiraceae_UCG-008,Alloprevotella,Desulfovibrio,Prevotellaceae_UCG-001,and Alistipes.Conclusions GS-9620 effectively alleviates IMQ-induced psoriasis-like skin inflammation in mice by regulating the expression of Th1/Th17-related inflammatory factors.It may also improve IMQ-induced clinical symptoms by regulating the structure of the gut microbiota,thus providing a new theoretical basis for the treatment of psoriasis.The result of this study provide important experimental evidence to support further investigations into the application of GS-9620 for the treatment of psoriasis.

Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective To analyze the effects of miR-181a-5p overexpression on metabolites in the small intestines of mice with subcutaneous oral cancer by detecting changes in metabolites and metabolic pathways.Methods Three groups were included in study:Control group,negative control and miR-181a-5p overexpression group.To establish a subcutaneous oral cancer model in mice,variously treated cell suspensions were subcutaneously injected into the upper right of the groin in female M-NSG severely immunodeficient mice.Changes in pathology and small intestinal tissues were assessed by HE staining.Changes in mouse body weight were also assessed.Tandem orbitrap mass spectrometry and ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry,were used to examine metabolites in the small intestines.By pre-analyzing the original data and quality rating sample data,XCMS was able to assess which metabolites were different among the groups.To identify unique metabolic pathways,KEGG enrichment analysis was used.Results A total of 170 distinct metabolites were found in the small intestinal tissues of Control and NC groups.Choline metabolism,alanine,aspartate,and glutamate metabolism,GABA synaptic metabolism,glycerophospholipid metabolism,cAMP signaling route,cancer center carbon metabolism,and niacin and niacin amine metabolic pathways were important signaling pathways for metabolite enrichment.In the NC group,16 distinct metabolites with VIP values larger than 2 were found in the small intestines compared with the OE group overexpressing miR-181a-5p.Glycerin phosphorylcholine,palmitic acid,3-hydroxybutyl carnitine,and β-hydroxybutyric acid were among the metabolites that significantly varied.The primary enhanced metabolic pathway was the choline pathway.Conclusions Mouse small intestines underwent slight changes from subcutaneous oral cancer with the greatest effect on metabolites critical for energy metabolism.The choline metabolic pathway was the pathway that selected absolutely metabolites in mouse small intestines with subcutaneous grafts of oral cancer.

Objective: To investigate the potential association among preoperative breast MRI features, axillary nodal burden (ANB), and disease-free survival (DFS) in patients with early-stage breast cancer. Materials and Methods: We retrospectively reviewed 297 patients with early-stage breast cancer (cT1-2N0M0) who underwent preoperative MRI between December 2016 and December 2018. Based on the number of positive axillary lymph nodes (LNs) determined by postoperative pathology, the patients were divided into high nodal burden (HNB; ≥3 positive LNs) and non-HNB (<3 positive LNs) groups. Univariable and multivariable logistic regression analyses were performed to identify independent risk factors associated with ANB. Predictive efficacy was evaluated using the receiver operating characteristic (ROC) curve and area under the curve (AUC). Univariable and multivariable Cox proportional hazards regression analyses were performed to determine preoperative features associated with DFS. Results: We included 47 and 250 patients in the HNB and non-HNB groups, respectively. Multivariable logistic regression analysis revealed that multifocality/multicentricity (adjusted odds ratio [OR] = 3.905, 95% confidence interval [CI]: 1.685– 9.051, P= 0.001) and peritumoral edema (adjusted OR = 3.734, 95% CI: 1.644–8.479, P = 0.002) were independent risk factors for HNB. Combined peritumoral edema and multifocality/multicentricity achieved an AUC of 0.760 (95% CI: 0.707– 0.807) for predicting HNB, with a sensitivity and specificity of 83.0% and 63.2%, respectively. During the median follow-up period of 45 months (range, 5–61 months), 26 cases (8.75%) of breast cancer recurrence were observed. Multivariable Cox proportional hazards regression analysis indicated that younger age (adjusted hazard ratio [HR] = 3.166, 95% CI: 1.200–8.352, P= 0.021), larger tumor size (adjusted HR = 4.370, 95% CI: 1.671–11.428, P= 0.002), and multifocality/multicentricity (adjusted HR = 5.059, 95% CI: 2.166–11.818, P< 0.001) were independently associated with DFS. Conclusion Preoperative breast MRI features may be associated with ANB and DFS in patients with early-stage breast cancer.

【Objective】 To study the correlation between platelet transfusion efficacy and KIR receptor-HLA ligand. 【Methods】 Thirty-three leukemia patients with positive HLA antibody were tested for cross-matching with donor platelets. Platelets from suitable donors were selected for transfusion, and the 24-hour platelet corrected count increment (CCI) was used to determine the transfusion effect. KIR and ligand genotyping were performed on blood samples from patients and donors by PCR-SSP method, and the relationship between platelet transfusion effects and KIR receptor-HLA ligand was analyzed. 【Results】 In 74 occasions of platelet transfusion, 42 were ineffective and 32 were effective. When the donor had C2 gene and HLA-B Bw4-80T gene, the frequency of ineffective platelet transfusion in the recipient was 69.0% (29/42) and 52.4% (22/35), respectively, which was significantly higher than that in the effective group [25.0% (8/32) and 25.0% (8/32)]. When the donor had C1 gene, and the frequency of effective platelet transfusion in the recipient was 100.0%(32/32), which was higher than that in the ineffective group [83.3%(35/42)]. When the recipient-donor matching mode was KIR2DL1-C2 and KIR3DL1-(HLA-B Bw4-80T), the frequency of ineffective platelet transfusion was 69.0%(29/42) and 40.5%(22/42),higher than that of the effective group [25% (8/32) and 18.8% (6/32)]. When the recipient-donor matching model was KIR2DL3-C1, the rate of effective platelet transfusion in 32 patients (100.0%), which was higher than that (35 patients 83. 3%) in the ineffective group. When the mismatch mode of recipient iKIR+donor HLA ligand receptor was KIR2DL1-C2, the frequency of effective platelet transfusion in the recipient was 78.1% (25/32), which was much higher than that in the ineffective group [31.0% (13/42)]. When the mismatch mode was KIR3DL1-(HLA-B Bw4-80T), the rate of effective platelet transfusion in the recipient was 68.8% (22/32), which was higher than that in the ineffective group (42.9%, 18/42). The difference between the above groups was statistically significant(P<0.05). 【Conclusion】 HLA-C1 and HLA-C2 genes are the key factors affecting the efficacy of platelet transfusion.For platelet refractorines, HLA-C1 is the protective gene, while HLA-C2 and HLA-B Bw4-80T are the susceptible genes. The recipient iKIR+donor HLA ligand receptor model may play an important role in platelet refractoriness.

Objective:To investigate the diagnostic value of diffusion kurtosis imaging (DKI) quantitative parameters in lymph node metastasis of rectal cancer.Methods:The clinicopathological data of 79 patients with rectal cancers in Shanxi Province Cancer Hospital from November 2016 to March 2017 were retrospectively analyzed. All patients underwent routine magnetic resonance image (MRI) sequence and DKI sequence examinations before the operation. The tumor region of interest (ROI) was delineated by two radiologists. Matlab software was applied to calculate DKI quantitative parameters including apparent diffusion coefficient (ADC), mean diffusivity (MD) and mean kurtosis (MK) in two groups, respectively; and the consistency analysis was performed by using the interclass correlation coefficients (ICC). According to the results of postoperative pathology, all patients were divided into lymph node metastasis group and lymph node non-metastasis group; ADC, MD, MK of both groups were compared. The pathological diagnosis results were taken as the gold standard, receiver operating characteristic (ROC) curves of DKI quantitative parameters in the diagnosis of lymph node metastasis of rectal cancer were plotted, the area under the curve (AUC) was calculated, the optimal diagnostic threshold was determined based on the Yoden index, and the sensitivity and specificity were calculated.Results:The ICC of ADC, MD and MK calculated by two physicians were 0.934 (0.833-0.975), 0.963 (0.905-0.981) and 0.971 (0.949-0.991), respectively, showing a good inter-observer consistency. Among the 79 patients with rectal adenocarcinoma, 36 cases were in lymph node metastasis group and 43 cases were in lymph node non-metastasis group. MK value in lymph node metastasis group was higher than that in lymph node non-metastasis group, and the difference was statistically significant (0.97±0.08 vs. 0.89±0.09; t = -4.07, P < 0.001), while the ADC and MD values in lymph node metastasis group were lower than those in lymph node non-metastasis group, and the differences were not statistically significant (all P > 0.05). The AUC of MK value in the diagnosis of lymph node metastasis of rectal cancer was 0.735, and the corresponding sensitivity and specificity were 55.56% and 88.37%, respectively. Conclusions:DKI quantitative parameter MK has a certain diagnostic value in predicting lymph node metastasis of rectal cancer.

Objective:To investigate the value of preoperative breast MRI combined with axillary ultrasound in predicting lymphovascular invasion (LVI) of breast invasive ductal carcinoma.Methods:The clinical, pathological and imaging features of 160 female patients [age 25-74(49±10)years] with breast invasive ductal carcinoma from March 2014 to December 2017 in Shanxi Cancer Hospital were retrospectively analyzed. According to the LVI status determined by postoperative pathology, 160 patients were divided into LVI positive group (56 cases) and LVI negative group (104 cases). The clinical characteristics, pathological characteristics and imaging features of LVI positive group and LVI negative group were compared by the independent t test, Mann-Whitney U test or χ 2 test. Multivariate logistic regression analysis was performed to identify independent predictors for predicting LVI and construct a predictive model. The receiver operating characteristic (ROC) curve and area under the curve (AUC) was used to evaluate the discrimination of the prediction model, and the Hosmer-Lemeshow test was used to evaluate its calibration. Results:There was no significant difference in age, menopausal status, estrogen receptor, progesterone receptor, human epidermal growth factor 2, Ki67 index and molecular subtype between LVI positive group and negative group ( P>0.05). Tumor size, peritumoral edema, adjacent vessel sign, multifocality or multicentricity, peritumoral maximum-apparent diffusion coefficient (ADC), peritumour-tumour ADC ratio, MRI axillary lymph node status and ultrasound axillary lymph node status between LVI positive group and LVI negative group showed significantly statistical difference ( P<0.05). Variables with significant difference in the univariate analysis were entered into multivariate logistic regression analysis to explore predictors for LVI. Peritumoral edema (OR=3.367, 95%CI 1.382-8.201, P=0.008), multifocality or multicentricity (OR=4.026, 95%CI 1.268-12.776, P=0.018), high peritumoral-tumor ADC ratio (OR=7.321, 95%CI 2.226-24.079, P=0.001) and positive ultrasound axillary lymph node (OR=6.779, 95%CI 2.819-16.303, P<0.001) were independent predictors for predicting LVI. A logistic regression model was constructed using the above four indicators, and ROC showed AUC of this model for predicting LVI was 0.882, superior to any of the single indicator ( P<0.05); its sensitivity was 80.36% and specificity was 84.62%. Hosmer-lemeshow test showed that the prediction model had good calibration ( P=0.503). Conclusion:The combined prediction model constructed by preoperative breast MRI and axillary ultrasound could help to predict the LVI status of breast invasive ductal carcinoma.