Notes

The countrywide research of the likelihood as well as tendencies associated with very first as well as several basal mobile carcinoma in the Holland along with prediction of potential occurrence.
Extraskeletal Ewing's sarcoma (EES) is one kind of rare malignant tumour which is always misdiagnosed preoperatively, especially for lesions located at endoceliac sites. This study analyse the clinicopathological features and outcomes of EES patients. The basic imaging characteristics of endoceliac lesions are also summarized.

This study involved EES patients admitted to our centre between January 2000 and January 2020. Clinical data from patients with EES (n=25) and computed tomography (CT) features from endoceliac EES patients with available CT data (n=8) were retrospectively reviewed.

The sample comprised 18 males and 7 females with a median age of 30 years (range, 1-72 years). Seven patients had EES originating from surface sites and 18 had EES originating from endoceliac sites. The median tumour size was 8.0 cm (range, 2.5-17.0 cm). In total, 20% of patients had distant metastasis at diagnosis. In the univariate analyses, tumour size >8 cm, non-surgical treatment, and regional lymph nodes metastasis were risk factors for poor prognosis of EES. In the multivariate analysis, patients with larger tumour size and regional lymph node metastasis were independent predictors of overall survival (OS). Endoceliac EES cases frequently exhibited lobulated contour (87.5%), absence of calcification (75%), severe necrosis or cystic degeneration (75%), heterogeneous enhancement (100%), moderate enhancement (75%), ill-defined borderline (62.5%), and organ invasion (75%). Half of the patients with endoceliac EES had CT features of lymphadenopathy.

Comprehensive understanding of the clinicopathological and imaging features of EES is beneficial for diagnosis, development of therapeutic strategies, and accurate prediction of prognosis for this rare malignant tumour.
Comprehensive understanding of the clinicopathological and imaging features of EES is beneficial for diagnosis, development of therapeutic strategies, and accurate prediction of prognosis for this rare malignant tumour.
Meningioma is the most common primary tumor of the central nervous system. Preoperative diagnosis of high-grade meningioma is helpful for the selection of treatment options. The aim of our study is to establish a diagnostic nomogram model for preoperative prediction of the pathological grade of meningioma.

The predictive model was established from a cohort of 215 clinicopathologically confirmed meningioma between January 2012 and December 2017. Radiomic features were collected from preoperative magnetic resonance imaging (MRI) and computed tomography of patients with meningioma. The least absolute shrinkage and selection operator (LASSO) regression model was used for data dimension reduction and feature selection. Multivariate logistic regression was used to build a predictive model and presented as a nomogram. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Internal validation was evaluated using bootstrapping validation.

High-grade meningioma was observed in 47 patients (22%). The predictors included in the nomogram were tumor-brain interface, bone invasion, and tumor location. The final diagnostic model exhibited good calibration and discrimination with a C-index of 0.874 (95% confidence interval 0.818-0.929) and a higher C-index of 0.868 in internal validation. Decision curve analysis (DCA) indicated that the nomogram is very useful in clinical practice.

This study provides a nomogram model with tumor-brain interface, bone invasion, and tumor location that can effectively predict the preoperative pathological grading of patients with meningioma and thus help clinicians provide more reasonable treatment strategies for meningioma patients.
This study provides a nomogram model with tumor-brain interface, bone invasion, and tumor location that can effectively predict the preoperative pathological grading of patients with meningioma and thus help clinicians provide more reasonable treatment strategies for meningioma patients.
Airway mucus acts as an indispensable protective component of innate immune response against invading pathogens. However, airway mucus hypersecretion, largely consisting of mucin 5AC (MUC5AC), is the leading cause of airflow obstruction and airway hyperresponsiveness that contributes to chronic obstructive pulmonary disease (COPD). MicroRNAs (miRNAs) are frequently dysregulated in the pathogenesis of COPD, but the definite role of miRNAs in airway mucus hypersecretion is not well understood.

A cell model of mucus hypersecretion was established in 16HBE cells by treatment with TNF-α. Cell viability and apoptosis were assessed using cell counting kit-8 (CCK-8) and flow cytometry, respectively. The aberrant expression of miR-146a-5p and miR-134-5p was assayed in TNF-α-treated 16HBE cells, and the effect of miR-146a-5p and miR-134-5p on regulating MUC5AC expression was evaluated using quantitative real-time PCR (qPCR) and Western blot analysis.

TNF-α treatment resulted in a significant decrease of cell viabiR-134-5p and miR-146a-5p conferred protection against TNF-α-induced mucus hypersecretion through repressing NF-κB and p38 MAPK signaling, indicating that miR-134-5p and miR-146a-5p may serve as the biomarker for COPD.
Long non-coding RNAs (lncRNAs) play an important part in tumorigenesis and cancer metastasis and can serve as a potential biosignature for cancer prognosis. However, the use of lncRNA signatures to predict survival in breast carcinoma is yet unreported.

The lncRNA expression profiles and homologous clinical data of 913 breast carcinoma samples from the Cancer Genome Atlas (TCGA), were analyzed to obtain 2,547 differentially expressed lncRNAs. Univariate Cox proportional risk regression was applied to both the training and testing datasets to screen the common prognostic lncRNAs. Potential prognostic LncRNAs were screened by multivariate Cox proportional risk regression in the training data set of the selected LncRNAs.

Seven lncRNAs (LINC02037, MAPT-AS1, RP1-37C10.3, RP11-344E13.4, RP11-454P21.1, RP11-616M22.1, SPACA6P-AS) were prominently associated with overall survival. Akt inhibitor Kaplan-Meier analysis and receiver operating characteristic (ROC) curves indicated that these indicators were sensitive and specific for survival prediction. The areas under the ROC curve of the seven-lncRNA signature in predicting 3- and 5-year survival rates were 0.771 and 0.780 respectively in the combined cohort. Furthermore, enrichment analysis revealed that these seven lncRNAs might participate multiple pathways related to tumorigenesis and prognosis.

The proposed seven-lncRNA signature could serve as a latent prognostic biomarker for survival prediction in patients with breast carcinoma.
The proposed seven-lncRNA signature could serve as a latent prognostic biomarker for survival prediction in patients with breast carcinoma.
Hepatectomy is the only potentially curable treatment for intrahepatic cholangiocarcinoma (IHCC) and colorectal liver metastasis (CRLM). This study aimed to explore the difference in intraoperative outcomes and postoperative complications between IHCC and CRLM in different surgical methods including major hepatectomy and minor hepatectomy.

We included 319 patients with IHCC or CRLM who underwent hepatectomy at our hospital. According to major hepatectomy and minor hepatectomy, eligible patients were divided into two groups. In each group, the clinicopathological characteristics of IHCC and CRLM patients were compared, then propensity score matching (PSM) was performed based on the results. Intraoperative outcomes and postoperative complications were compared between IHCC and CRLM before and after PSM. Intraoperative variables, including intraoperative blood transfusion, duration of operation, and intraoperative blood loss, were used to evaluate the intraoperative conditions of patients. The postoperative gher morbidity of postoperative complications than CRLM patients. For minor hepatectomy, there was no difference in postoperative complications between IHCC and CRLM. More attention should be paid to improving the preoperative planning and surgical management of hepatic malignancies especially in the setting of IHCC.
This study revealed major hepatectomy for IHCC led to significantly higher morbidity of postoperative complications than CRLM patients. For minor hepatectomy, there was no difference in postoperative complications between IHCC and CRLM. More attention should be paid to improving the preoperative planning and surgical management of hepatic malignancies especially in the setting of IHCC.
Breast cancer (BC) has long been a major death threat facing women worldwide. With the development of comprehensive treatment methods, the prognosis of BC was improved but still unsatisfactory. This study was aimed to identify the key genes in BC tumorigenesis and investigate potential prognostic predictors.

Differential expression genes were analyzed in TCGA BRCA dataset using Genevestigator software. The expression profile of target gene was explored, and the correlations between selected genes with important clinical parameters were evaluated as well. The prognostic values of target genes were also carried out through Kaplan-Meier plotter OncoLnc and BC gene-expression miner.

gene was selected for further analysis from the differential expression genes identified. At both mRNA and protein levels, the expression of KIAA0101 in BC was higher than that in normal tissues. Further analysis indicated that overexpression of KIAA0101 was significantly correlated with worse clinical outcome parameters. KIAA0101 was highly expressed in older patients, in the luminal group, and in patients with advanced stages. Moreover, BC patients with elevated KIAA0101 expression had worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS).

Taken together, KIAA0101 could be considered as a diagnostic biomarker or predictor for BC prognosis.
Taken together, KIAA0101 could be considered as a diagnostic biomarker or predictor for BC prognosis.
There were no predictive prognosis factors of serum in male breast cancer, while breast cancer is a heterogeneous disease. The purpose of our study was to determine the prognostic implications of the pretreatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR) in the serum of patients with male breast cancer.

We retrospectively identified a random cohort of male breast cancer patients treated at the Sun Yat-sen University Cancer Center between Jan 1, 1996 and Dec 31, 2016. A number of 108 patients had different inflammation markers recorded pre-operation. Survival status was retrieved from our cancer center registry and phone follow-up. Cox proportional hazards regression model was used to analyze the disease-free survival (DFS) and overall survival (OS).

Among these patients in this study, 13 (12.0%) had disease recurrence, and 7 (6.5%) patients appeared distant metastasis. No statistically significant association of the preoperative NLR, PLR or LMR level with patients' different outcomes was found.

In short, we were unable to establish a connection between preoperative inflammation biomarkers and male breast cancer patients' survival. Neither NLR, PLR nor LMR is useful for predicting prognosis in male breast cancer patients, and prospective studies to evaluate the above biomarkers as a simple prognostic trail is necessary.
In short, we were unable to establish a connection between preoperative inflammation biomarkers and male breast cancer patients' survival. Neither NLR, PLR nor LMR is useful for predicting prognosis in male breast cancer patients, and prospective studies to evaluate the above biomarkers as a simple prognostic trail is necessary.
Website: https://www.selleckchem.com/products/ink128.html