HDAC10 inhibits non-small-cell lung cancer cell ferroptosis through the microRNA-223-5p-SLC7A11 axis.

Objective: Non-small-cell lung cancer (NSCLC) is a leading attributor to cancer deaths. High HDAC10 and low microRNA (miR)-223-5p levels have been observed in NSCLC. But their roles remain elusive.

A novel prognosis prediction of esophageal cancer based on chromatin regulator-related lncRNA.

It has been reported that chromatin regulators (CRs), as one of the essential upstream regulators of tumor development, were screened to construct a prognostic model for predicting the outcome of tumor patients. However, the prognostic model based on CRs-related long noncoding RNAs (lncRNAs) in esophageal cancer (EC) has never been researched. This study aims to construct a novel CRs-related lncRNA signature to evaluate the prognostic ability of EC patients.

One-stage VATS surgery for synchronous bilateral lung lesion: a safe and feasible procedure.

Background: Synchronous bilateral lung lesions are emerging as a common but tricky disease for surgical management. Whether one or two-stage surgery should be taken remains in debate. We retrospectively analysed 151 patients who underwent one and two-stage Video Assisted Thoracic Surgery (VATS) to investigate the safety and feasibility of the two surgical approaches.

Adjuvant EGFR-TKI therapy in resected EGFR-mutation positive non-small cell lung cancer: A real-world study.

Background: Although several clinical studies have laid the foundation for the adjuvant application of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), some questions remain unresolved. This real-world study aimed to address questions such as the effect of adjuvant chemotherapy prior to adjuvant EGFR-TKI therapy on survival outcomes, and the duration of adjuvant EGFR-TKI therapy,

Methods: Between October 2005 and October 2020, 227 consecutive patients with non-small cell lung cancer (NSCLC) who underwent complete pulmonary resections were included in this retrospective study. Patients received postoperative adjuvant chemotherapy followed by EGFR-TKI or adjuvant EGFR-TKI monotherapy.

PEG-rhG-CSF for prophylaxis of neutropenia after chemotherapy in patients with non-small cell lung cancer: A multicenter, prospective, randomized study.

Background: To evaluate the efficacy and safety of pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) in preventing neutropenia during multiple cycles of chemotherapy in patients with non-small cell lung cancer (NSCLC).

Method: In a multicenter, prospective, randomized trial, patients with NSCLC were randomly assigned in a 2:1 ratio to treatment group (PEG-rhG-CSF as primary prophylactic therapy) or control group. Patients in the control group were administered rhG-CSF when white blood cell count was <2.

CAF-derived exosomes deliver LINC01410 to promote epithelial-mesenchymal transition of esophageal squamous cell carcinoma.

Exosomes mediate cellular communications in cancer by transmitting active molecules. However, the CAFs-derived molecular determinants that regulate esophageal squamous cell carcinoma (ESCC) metastasis have not been fully characterized. The purpose of this study was to investigate the potential roles of exosomal LINC01410 of ESCC cells.

Deep Learning Based on Hierarchical Self-Attention for Finance Distress Prediction Incorporating Text.

To detect comprehensive clues and provide more accurate forecasting in the early stage of financial distress, in addition to financial indicators, digitalization of lengthy but indispensable textual disclosure, such as Management Discussion and Analysis (MD&A), has been emphasized by researchers. However, most studies divide the long text into words and count words to treat the text as word count vectors, bringing massive invalid information but ignoring meaningful contexts. Aiming to efficiently represent the text of large size, an end-to-end neural networks model based on hierarchical self-attention is proposed in this study after the state-of-the-art pretrained model is introduced for text embedding including contexts.

An adaptive denoising method based on local mode estimation.

An adaptive method is presented in this paper to cope with gaussian noise through local structure estimation. Even regions and uneven regions are distinguished firstly, then each uneven region is further segmented into two subregions by fuzzy c-means clustering algorithm and fisher discriminant analysis. Finally, linear approximation is used to estimate the intensities of each region.

Taichiquan acutely increases heart rate variability.

A group of 15 elderly men and 14 young male students of physical education made twice a series of Taichiquan (TCQ) practices. Their electrocardiograms were recorded on tape-recorder and heart rates and heart rate variability (HRV) were calculated from digitized data. Here we report the results of recordings in supine positions before and after the first and second series of TCQ.