Clinical information and management status of de novo stage IV breast cancer patients: a Chinese multicenter investigation (CSBrS-002).

BACKGROUND: Although de novo stage IV breast cancer is so far incurable, it has entered an era of individualized treatment and chronic disease management. Based on systemic treatment, whether the surgical resection of primary or metastatic foci of de novo stage IV breast cancer can bring survival benefits is currently controversial. We aimed to explore the clinicopathological factors and current status of the management of de novo stage IV breast cancer in China to provide a reference for clinical decisions. METHODS: Based on the assistance of Chinese Society of Breast Surgery, a retrospective study was conducted to analyze the clinical data of patients with de novo stage IV breast cancer in 33 centers from January 2017 to December 2018. The relationship between basic characteristic (age, menstrual status, family history, reproductive history, pathological type, estrogen receptor [ER] status, progesterone receptor [PR] status, human epidermal growth factor receptor 2 [HER2] status, Ki-67 percentage, and molecular subtype), and metastasis sites (lung metastasis, liver metastasis, and bone metastasis) was examined by Pearson Chi-square tests. RESULTS: A total of 468 patients with de novo stage IV breast cancer were enrolled. The median age of the enrolled patients was 51.5 years. The most common pathological type of primary lesion was invasive carcinoma (97.1%). Luminal A, luminal B, HER2 overexpressing, and triple-negative subtypes accounted for 14.3%, 51.8%, 22.1%, and 11.8% of all cases, respectively. Age, PR status, and HER2 status were correlated with lung metastasis (χ2 = 6.576, 4.117, and 8.643 and P = 0.037, 0.043, and 0.003, respectively). Pathological type, ER status, PR status, and molecular subtype were correlated with bone metastasis (χ2 = 5.117, 37.511, 5.224, and 11.603 and P = 0.024, <0.001, 0.022, and 0.009, respectively). Age, PR status, HER2 status, Ki-67 percentage, and molecular subtype were correlated with liver metastasis (χ2 = 11.153, 13.378, 10.692, 21.206, and 17.684 and P = 0.004, <0.001, 0.001, <0.001, and 0.001, respectively). Combined treatment with paclitaxel and anthracycline was the most common first-line chemotherapy regimen for patients with de novo stage IV breast cancer (51.7%). Overall, 91.5% of patients used paclitaxel-containing regimens. Moreover, 59.3% of hormone receptor-positive patients underwent endocrine therapy. CONCLUSIONS: In 2018, 1.07% of patients from all studied centers were diagnosed with de novo stage IV breast cancer. This study indicated that 95.1% of patients received systemic therapy and 54.2% of patients underwent surgical removal of the primary lesion in China.

Comparison between linear and nonlinear machine-learning algorithms for the classification of thyroid nodules.

BACKGROUND: A key challenge in thyroid carcinoma is preoperatively diagnosing malignant thyroid nodules. The purpose of this study was to compare the classification performance of linear and nonlinear machine-learning algorithms for the evaluation of thyroid nodules using pathological reports as reference standard. METHODS: Ethical approval was obtained for this retrospective analysis, and the informed consent requirement was waived. A total of 1179 thyroid nodules (training cohort, n = 700; validation cohort, n = 479) were confirmed by pathological reports or fine-needle aspiration (FNA) biopsy. The following ultrasonography (US) featu res were measured for each nodule: size (maximum diameter), margins, shape, aspect ratio, capsule, hypoechoic halo, composition, echogenicity, calcification pattern, vascularity, and cervical lymph node status. We analyzed five nonlinear and three linear machine-learning algorithms. The diagnostic performance of each algorithm was compared by using the area under the curve (AUC) of the receiver operating characteristic curve. We repeated this process 1000 times to obtain the mean AUC and 95% confidence interval (CI). RESULTS: Overall, nonlinear machine-learning algorithms demonstrated similar AUCs compared with linear algorithms. The Random Forest and Kernel Support Vector Machines algorithms achieved slightly greater AUCs in the validation cohort (0.954, 95% CI: 0.939-0.969; 0.954 95%CI: 0.939-0.969, respectively) than other algorithms. CONCLUSIONS: Overall, nonlinear machine-learning algorithms share similar performance compared with linear algorithms for the evaluation the malignancy risk of thyroid nodules.

A nomogram for individual prediction of vascular invasion in primary breast cancer.

OBJECTIVES: To explore the feasibility of preoperative prediction of vascular invasion (VI) in breast cancer patients using nomogram based on multiparametric MRI and pathological reports. METHODS: We retrospectively collected 200 patients with confirmed breast cancer between January 2016 and January 2018. All patients underwent MRI examinations before the surgery. VI was identified by postoperative pathology. The 200 patients were randomly divided into training (n = 100) and validation datasets (n = 100) at a ratio of 1:1. Least absolute shrinkage and selection operator (LASSO) regression was used to select predictors most associated with VI of breast cancer. A nomogram was constructed to calculate the area under the curve (AUC) of receiver operating characteristics, sensitivity, specificity, accuracy, positive prediction value (PPV) and negative prediction value (NPV). We bootstrapped the data for 2000 times without setting the random seed to obtain corrected results. RESULTS: VI was observed in 79 patients (39.5%). LASSO selected 10 predictors associated with VI. In the training dataset, the AUC for nomogram was 0.94 (95% confidence interval [CI]: 0.89-0.99, the sensitivity was 78.9% (95%CI: 72.4%-89.1%), the specificity was 95.3% (95%CI: 89.1%-100.0%), the accuracy was 86.0% (95%CI: 82.0%-92.0%), the PPV was 95.7% (95%CI: 90.0%-100.0%), and the NPV was 77.4% (95%CI: 67.8%-87.0%). In the validation dataset, the AUC for nomogram was 0.89 (95%CI: 0.83-0.95), the sensitivity was 70.3% (95%CI: 60.7%-79.2%), the specificity was 88.9% (95%CI: 80.0%-97.1%), the accuracy was 77.0% (95%CI: 70.0%-83.0%), the PPV was 91.8% (95%CI: 85.3%-98.0%), and the NPV was 62.7% (95%CI: 51.7%-74.0%). The nomogram calibration curve shows good agreement between the predicted probability and the actual probability. CONCLUSION: The proposed nomogram could be used to predict VI in breast cancer patients, which was helpful for clinical decision-making.

Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.

OBJECTIVES: The aim of this study was to develop an ultrasound-based nomogram to improve the diagnostic accuracy of the identification of malignant thyroid nodules. METHODS: A total of 1675 histologically proven thyroid nodules (1169 benign, 506 malignant) were included in this study. The nodules were grouped into the training dataset (n = 700), internal validation dataset (n = 479), or external validation dataset (n = 496). The grayscale ultrasound features included the nodule size, shape, aspect ratio, echogenicity, margins, and calcification pattern. We applied least absolute shrinkage and selection operator (lasso) regression to select the strongest features for the nomogram. Nomogram discrimination (area under the receiver operating characteristic curve, AUC) and calibration were assessed. The nomogram was subjected to bootstrapping validation (1000 bootstrap resamples) to calculate a mean AUC and 95% confidence interval (CI). RESULTS: The nomogram showed good discrimination in the training dataset, with an AUC of 0.936 (95% CI: 0.918-0.953) and good calibration. Application of the nomogram to the internal validation dataset also resulted in good discrimination (AUC: 0.935; 95% CI, 0.915-0.954) and good calibration. The model tested in an external validation dataset demonstrated a lower AUC of 0.782 (95% CI: 0.776-0.789). CONCLUSIONS: This ultrasound-based nomogram can be used to quantify the probability of malignant thyroid nodules. KEY POINTS: • Ultrasound examination is helpful in the differential diagnosis of malignant and benign thyroid nodules. • However, ultrasound accuracy relies heavily on examiner experience. • A less subjective diagnostic model is desired, and the developed nomogram for thyroid nodules showed good discrimination and good calibration.

Experimental study on the clinical effects of Xiaoru Sanjie Jiaonang on mammary glands hyperplasia and ki-67.

OBJECTIVE: This study aims to observe the effect and mechanism of Xiaoru Sanjie Jiaonang (XRSJ) on the treatment of mammary gland hyperplasia, and provide a theoretical basis and clinical evidence for clinical expansion. METHODS: Japanese white rabbits were randomly divided into three groups: high-, middle- and low-dose groups; Xiaoyao Pill group; model control group; normal control group. The observation points were as follows: before XRSJ administration, three months after XRSJ administration, and three months after XRSJ discontinuance. Changes in breast height, morphological changes of the mammary gland under a light and electron microscope, and the expression of ki-67 were observed. At the same time, patients diagnosed with mammary gland hyperplasia at an Outpatient Clinic were selected and divided into treatment groups. These patients received XRSJ and Xiaoyao Pills, respectively, for one month, while patients in the control group did not receive any drug treatment. Clinical efficacy was observed while rechecking at the Outpatient Clinic after three months. Treatment with a therapeutic dose of XRSJ could significantly reduce breast height, decrease the number of lobules and acini in hyperplastic mammary glands and the layer number of ductal glandular epithelial cells, substantially lower the content of serum estradiol (E2), significantly downregulate the expression of ki-67 protein in mammary tissues, and inhibit mammary gland hyperplasia. CONCLUSION: XRSJ treatment can relieve mammary tissue hyperplastic lesions, reduce E2 levels and downregulate the expression of ki-67. It has a significant therapeutic effect on mammary gland hyperplasia.

Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinoma.

There is no consensus on specific prognostic biomarkers potentially improving survival of nasopharyngeal carcinoma (NPC), especially in advanced-stage disease. The prognostic value of MRI-based radiomics signature is unclear. A total of 970 quantitative features were extracted from the tumor of 100 untreated NPC patients (stage III-IVb) (discovery set: n = 70, validation set: n = 30). We then applied least absolute shrinkage and selection operator (lasso) regression to select features that were most associated with progression-free survival (PFS). Candidate prognostic biomarkers included age, gender, overall stage, hemoglobin, platelet counts and radiomics signature. We developed model 1 (without radiomics signature) and model 2 (with radiomics signature) in the discovery set and then tested in the validation set. Multivariable Cox regression analysis was used to yield hazard ratio (HR) of each potential biomarker. We found the radiomics signature stratified patients in the discovery set into a low or high risk group for PFS (HR = 5.14, p < 0.001) and was successfully validated for patients in the validation set (HR = 7.28, p = 0.015). However, the other risk factors showed no significantly prognostic value (all p-values for HR, > 0.05). Accordingly, pretreatment MRI-based radiomics signature is a non-invasive and cost-effective prognostic biomarker in advanced NPC patients, which would improve decision-support in cancer care.

Development of a preprocedure nomogram for predicting contrast-induced acute kidney injury after coronary angiography or percutaneous coronary intervention.

Most of the risk models for predicting contrast-induced acute kidney injury (CI-AKI) are available for postcontrast exposure prediction, thus have limited values in practice. We aimed to develop a novel nomogram based on preprocedural features for early prediction of CI-AKI in patients after coronary angiography (CAG) or percutaneous coronary intervention (PCI). A total of 245 patients were retrospectively reviewed from January 2015 to January 2017. Least absolute shrinkage and selection operator (Lasso) regression model was applied to select most strong predictors for CI-AKI. The CI-AKI risk score was calculated for each patient as a linear combination of selected predictors that were weighted by their respective coefficients. The discrimination of nomogram was assessed by C-statistic. The occurrence of CI-AKI was 13.9% (34 out of 245). We identified ten predictors including sex, diabetes mellitus, lactate dehydrogenase level, C-reactive protein, years since drinking, chronic kidney disease (CKD), stage of CKD, stroke, acute myocardial infarction, and systolic blood pressure. The CI-AKI prediction nomogram obtained good discrimination (C-statistic, 0.718, 95%CI: 0.637-0.800, p = 7.23 × 10-5). The cutoff value of CI-AKI risk score was -1.953. Accordingly, the novel nomogram we developed is a simple and accurate tool for preprocedural prediction of CI-AKI in patients undergoing CAG or PCI.

Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laboratory test results were collected. Gradient boosting tree (GBT) was then used to determine the relative importance (RI) and interaction effects of the variables. Results indicated that elevated white blood cell (WBC) count > 15 × 109/L (RI: 49.47, p < 0.001) was the top predictor of severe HFMD, followed by spinal cord involvement (RI: 26.62, p < 0.001), spinal nerve roots involvement (RI: 10.34, p < 0.001), hyperglycemia (RI: 3.40, p < 0.001), and brain or spinal meninges involvement (RI: 2.45, p = 0.003). Interactions between elevated WBC count and hyperglycemia (H statistic: 0.231, 95% CI: 0-0.262, p = 0.031), between spinal cord involvement and duration of fever ≥3 days (H statistic: 0.291, 95% CI: 0.035-0.326, p = 0.035), and between brainstem involvement and body temperature (H statistic: 0.313, 95% CI: 0-0.273, p = 0.017) were observed. Therefore, GBT is capable to identify the predictors for severe HFMD and their interaction effects, outperforming conventional regression methods.

CT and MRI findings in focal eosinophilic infiltration of the liver.

OBJECTIVES: To investigate the findings of computed tomography (CT) and magnetic resonance imaging (MRI) of focal eosinophilic infiltration (FEI) of the liver. METHODS: A retrospective study including 29 patients with confirmed FEI of the liver was performed. We evaluated the lesions' number, distribution, size, shape, margin, attenuation or signal intensity characteristics, the enhancement pattern, and some special features. Spearman correlation analysis was used to analyze the correlation between the number of lesions and the eosinophil counts in peripheral blood. RESULTS: In all, 108 lesions were detected in 29 cases, including two cases with single lesion and the remaining 27 cases with multiple lesions. The mean size of all lesions was 34 mm (range, from 3 to 61 mm). 95 (88%) lesions were located in subcapsular parenchyma or surrounding the portal vein. Most (66%) subcapsular lesions were wedge shaped and all lesions surrounding portal vein were round shaped. However, the hepatic parenchymal lesions were irregular or round shaped. All lesions showed ill-defined margins. On pre-contrast CT images, the lesions showed slightly low attenuation or iso-attenuating. On T1-weighted and T2-weighted images, the lesions were slightly iso-/hypointense and hyperintense, respectively. A total of 23 (79.3%) cases were gradually enhanced. Branches of portal vein went through the lesions in all cases; 12 had 'stripe sign' and 16 had 'halo ring sign.' Spearman analysis indicated a significant correlation between the number of lesions and the increased eosinophils in peripheral blood (r = 0.627, p = 0.0003). CONCLUSIONS: Special CT and MRI features and increased eosinophils may strongly suggest the diagnosis of FEI of the liver.

Estrogen receptor α mediates the effects of notoginsenoside R1 on endotoxin-induced inflammatory and apoptotic responses in H9c2 cardiomyocytes.

Estrogen receptors (ERs) are important for preventing endotoxin-induced myocardial dysfunction. Therefore, plant-derived phytoestrogens, which target ERs may also affect endotoxin-induced toxicity in cardiomyocytes. Our previous study revealed that notoginsenoside-R1 (NG-R1), a predominant phytoestrogen from Panax notoginseng, protects against cardiac dysfunction. However, the effects of NG-R1 on cardiomyocytes and the precise cellular/molecular mechanisms underlying its action remain to be elucidated. In the present study, pretreatment with NG-R1 suppressed the lipopolysaccharide (LPS)-induced degradation of inhibitor of nuclear factor-κB (NF-κB) α, the activation of NF-κB and caspase-3, and the subsequent myocardial inflammatory and apoptotic responses in H9c2 cardiomyocytes. An increase in the mRNA and protein expression of ERα was also observed in the NG-R1-treated cardiomyocytes. However, the expression pattern of ERß remained unaltered. Furthermore, the cardioprotective properties of NG-R1 against LPS-induced apoptosis and the inflammatory response in cardiomyocytes were attenuated by ICI 182780, a non-selective ERα antagonist, and methyl-piperidino-pyrazole, a selective ERα antagonist. These findings suggested that NG-R1 reduced endotoxin-induced cardiomyocyte apoptosis and the inflammatory response via the activation of ERα. Therefore, NG-R1 exerted direct anti-inflammatory and anti-apoptotic effects on the cardiomyocytes, representing a potent agent for the treatment of myocardial inflammation during septic shock.

The T-SPOT.TB Test for Diagnosis of Breast Tuberculosis.

OBJECTIVE: To assess the diagnostic value of the T-SPOT.TB test in cases of breast turberculosis (BTB) in China. METHODS: We enrolled 13 female patients with primary BTB as the BTB test group and 10 healthy volunteers as the control group. The 2 groups underwent T-SPOT.TB tests and tuberculin skin tests (TSTs) before receiving a core-needle biopsy or excision biopsy. We then collected and analyzed T-SPOT.TB and TST data. RESULTS: The sensitivity of the T-SPOT.TB test for detection of BTB (84.6%) was significantly greater than that of TST (53.8%) (P <.05); the specificity of each test (80.0% and 60.0%, respectively) for BTB was not significantly different (P >.05). CONCLUSION: The T-SPOT.TB test could be a useful adjunct to current tests for diagnosis of BTB and could be used for early diagnosis of this condition.

[Impact of trichostatin A on gastric carcinoma cell line SGC-7901].

OBJECTIVE: To investigate the effect of trichostatin A(TSA) on SGC- 7901 cells. METHODS: Cytotoxicity and cell viability of gastric cancer cell line SGC- 7901 were assayed by MTT method. Morphologic assessment of apoptosis was performed with fluorescence microscope. Cell cycle and apoptosis rate were analyzed by flow cytometry. Histone H3 acetylation was detected by Western blot. RESULTS: TSA showed apparently cytotoxicity in SGC- 7901 cells. The growth curve showed the growth ratio decreased with the increase of TSA concentration. Apoptosis rate were significantly different between TSA treated group(75 ng/ml for 72 h)and control group (P < 0.05). Morphologic changes of apoptosis including nuclear chromatin condensation and fluorescence strength were observed with fluorescence microscope.TSA treatment (75 ng/ml for 72 h) sensitively induced apoptosis in the cell,which was demonstrated by the migration of many cells to the sub- G1 phase,the reduction of G1- phase cells and the increment of apoptosis rate (29.54%) in flow cytometric analysis. The expression of acetylated histone H3 was increased in TSA group(75 ng/ml) for 48 h compared with control group by Western blot. CONCLUSIONS: TSA can induce SGC- 7901 cell apoptosis. The expression of acetylated histone H3 may contribute to the apoptosis.