Non-scanning SISO terahertz 3D imaging based on data-driven.

In this paper, a forward-looking three-dimensional (3D) imaging method based on data-driven approach is proposed. The proposed method adopts a single-input-single-output (SISO) terahertz radar to obtain the one-dimensional range profile of the target. The 3D image is then retrieved from the range profile using the multi-layer perception (MLP) algorithm. Simulations and experiments are carried out to demonstrate the feasibility of the proposed method.

Association between lncRNA H19 rs217727 polymorphism and the risk of cancer: an updated meta-analysis.

BACKGROUND: We have performed this study to evaluate the association between H19 rs217727 polymorphism and the risk of cancer. METHODS: An odds ratio (OR) with a 95% confidence interval (CI) was applied to determine a potential association. RESULTS: A total of 17 case-control publications were selected. This meta-analysis showed that H19 rs217727 has a significant increased association with cancer risk in allelic, homozygous, heterozygote, dominant and recessive models (T vs C: OR = 1.16, 95% CI = 1.06-1.27, I2 = 75.7; TT vs CC: OR = 1.29, 95% CI = 1.06-1.56, I2 = 71.6; CT vs CC: OR = 1.15, 95% CI = 1.01-1.31, I2 = 75.4; CT + TT vs CC: OR = 1.20, 95% CI = 1.05-1.36, I2 = 76.5; TT vs CT + CC: OR = 1.22, 95% CI = 1.02-1.45, I2 = 70.6;). In the subgroup analysis of smoking status, both smokers and nonsmokers showed an increase in cancer risk in allelic, homozygous, dominant and heterozygote models. CONCLUSION: This meta-analysis revealed H19 rs217727 may influence cancer susceptibility.

Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance. OBJECTIVE: The cohort study was intended to establish a reliable data analysis model by comparing the performance of 10 common ML algorithms and the the traditional American Joint Committee on Cancer (AJCC) stage, and used this model in Web application development to provide a good individualized prediction for others. METHODS: This study included 63145 BC patients from the Surveillance, Epidemiology, and End Results database. RESULTS: Through the performance of the 10 ML algorithms and 7th AJCC stage in the optimal test set, we found that in terms of 5-year overall survival, multivariate adaptive regression splines (MARS) had the highest area under the curve (AUC) value (0.831) and F1-score (0.608), and both sensitivity (0.737) and specificity (0.772) were relatively high. Besides, MARS showed a highest AUC value (0.831, 95%confidence interval: 0.820-0.842) in comparison to the other ML algorithms and 7th AJCC stage (all P < 0.05). MARS, the best performing model, was selected for web application development (https://w12251393.shinyapps.io/app2/). CONCLUSIONS: The comparative study of multiple forecasting models utilizing a large data noted that MARS based model achieved a much better performance compared to other ML algorithms and 7th AJCC stage in individualized estimation of survival of BC patients, which was very likely to be the next step towards precision medicine.

Do medullary thyroid carcinoma patients with high calcitonin require bilateral neck lymph node clearance? A case report.

BACKGROUND: In clinical work, 85%-90% of malignant thyroid diseases are papillary thyroid cancer (PTC); thus, clinicians neglect other types of thyroid cancer, such as medullary thyroid carcinoma (MTC). CASE SUMMARY: We report a 53-year-old female patient with a preoperative calcitonin level of 345 pg/mL. There was no definitive diagnosis of MTC by preoperative fine-needle aspiration cytology or intraoperative frozen pathology, but the presence of PTC and MTC was confirmed by postoperative paraffin pathology. The patient underwent total thyroidectomy and bilateral central lymph node dissection. Close follow-up at 1.5 years after surgery revealed no signs of recurrence or metastasis. CONCLUSION: The issue in clinical work-up regarding types of thyroid cancer provides a novel and challenging idea for the surgical treatment of MTC. In the absence of central lymph node metastasis, it is worth addressing whether patients with high calcitonin can undergo total thyroidectomy and bilateral central lymph node dissection without bilateral lateral neck lymph node dissection.

LncRNA BCAR4 expression predicts the clinical response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is an important treatment for locally advanced breast cancer (LABC). However, there are no effective biomarkers to predict the efficacy. Therefore, there is an urgent need for new biomarkers to predict the response of LABC to NAC. LncRNA BCAR4 has been detected in a variety of malignant tumor tissues and used as a new biomarker for diagnosis and prognosis. However, LncRNA BCAR4 predicts the response of LABC to NAC is unclear. OBJECTIVE: Explore the predictive effect of LncRNA BCAR4 on the efficacy of NAC for LABC in three different evaluation systems. METHODS: First, the TCGA database was used to analyze the expression of LncRNA BCAR4 in 33 kinds of malignant tumors, and further explore its expression in breast cancer and its impact on the survival and prognosis of breast cancer. Furthermore, quantitative methods were used to measure the expression level of LncRNA BCAR4 in cancer tissues of 48 LABC patients, and the correlation between LncRNA BCAR4 and clinicopathological status and response to NAC under the evaluation system of 3, RECIST1.1, Miller-Payne (MP) score and whether it reaches pCR,was analyzed. RESULTS: TCGA data analysis found that LncRNA is highly expressed in a variety of malignant tumor tissues, including breast cancer. And relatively low expression, the shorter the overall survival time of high expression patients. The high expression of LncRNA BCAR4 is related to the size of the tumor, and there are differences in expression between stage I and other stages, but there is no obvious correlation with the positive lymph node and hormone receptor status. Among the three evaluation systems, only in the RECIST 1.1 evaluation system LncRNA BCAR4 has a predictive effect on NAC for LABC. The expression of LncRNA BCAR4 has no significant correlation with clinical stage, Ki-67% and hormone receptor status, and has no significant correlation with whether patients with locally advanced breast cancer obtain pCR during neoadjuvant chemotherapy. CONCLUSION: LncRNA BCAR4 is highly expressed in LABC tissues and may be an effective marker for predicting the efficacy of NAC for LABC.

Bis{2-[(2-benzoyl-hydrazin-1-yl-idene)meth-yl]-6-meth-oxy-phenolato}iron(III) chloride monohydrate.

In the title mononuclear iron(III) complex, [Fe(C(15)H(13)N(2)O(3))(2)]Cl·H(2)O, the Fe(III) atom has a distorted octa-hedral geometry and is six-coordinated by four O atoms and two N atoms from two ligands. In the crystal structure, the complex cations, Cl(-) anions and water mol-ecules are connected into a chain along [100] through N-H⋯O, O-H⋯Cl and N-H⋯Cl hydrogen bonds. Two adjacent chains are linked by O-H⋯O hydrogen bonds.