Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer.

The precise prediction of preoperative recurrence in non-small cell lung cancer (NSCLC) that is suitable for clinical application is still an open question. Recent advancements integrating genomic data with deep learning have shown promise in enhancing recurrence analysis in NSCLC patients. However, the lack of interpretability in the decision-making process of DNN models has hindered their clinical trustworthiness.

STFormer: Learning to Explore Spot Relationships for Spatial Transcriptomics Prediction from Histology of Colorectal Cancer.

Spatial transcriptomics (ST) offers insights into gene expression patterns within tumor microenvironments, but its widespread application is impeded by cost constraints. To address this, predicting ST from Histology emerges as a cost-effective alternative. However, current methods such as STNet, HistoGene, and Hist2ST exhibit limitations, either overlooking stain variation across datasets or failing to well explore inter-spot correlations in scenarios with limited Whole Slide Image (WSI) data.

SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data.

Accurate preoperative recurrence prediction for non-small cell lung cancer (NSCLC) is a challenging issue in the medical field. Existing studies primarily conduct image and molecular analyses independently or directly fuse multimodal information through radiomics and genomics, which fail to fully exploit and effectively utilize the highly heterogeneous cross-modal information at different levels and model the complex relationships between modalities, resulting in poor fusion performance and becoming the bottleneck of precise recurrence prediction. To address these limitations, we propose a novel unified framework, the Self-and-Mutual Attention (SAMA) Network, designed to efficiently fuse and utilize macroscopic CT images and microscopic gene data for precise NSCLC recurrence prediction, integrating handcrafted features, deep features, and gene features.

Anoikis resistance--protagonists of breast cancer cells survive and metastasize after ECM detachment.

Breast cancer exhibits the highest global incidence among all tumor types. Regardless of the type of breast cancer, metastasis is a crucial cause of poor prognosis. Anoikis, a form of apoptosis initiated by cell detachment from the native environment, is an outside-in process commencing with the disruption of cytosolic connectors such as integrin-ECM and cadherin-cell.

Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics.

Background: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment.

Methods: Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO).

Successful Treatment of a Patient With Brain Metastasis From Ovarian Cancer With BRCA Wild Type Using Niraparib: A Case Report and Review of the Literature.

Background: Brain metastases from ovarian cancer are extremely rare and have a very poor prognosis. A multimodal approach (surgery combined with radiotherapy and chemotherapy) yields the best results in reducing neurological symptoms and prolonging survival. Unfortunately, not every patient receives a complete multimodal treatment due to their individual factors.

Efficacy of apatinib in advanced hepatocellular carcinoma with lung metastasis: a retrospective, multicenter study.

Purpose: Lung is the most common extrahepatic metastatic site for patients with advanced hepatocellular carcinoma (HCC) and has a worse prognosis than intrahepatic metastasis. Apatinib is a receptor tyrosine kinase inhibitor that is promising for HCC treatment. We investigated whether apatinib is particularly effective for advanced HCC with lung metastasis.

Combination of TMB and CNA Stratifies Prognostic and Predictive Responses to Immunotherapy Across Metastatic Cancer.

Purpose: Although tumor mutation burden (TMB) has been well known to predict the response to immune checkpoint inhibitors (ICI), lack of randomized clinical trial data has restricted its clinical application. This study aimed to explore the significance and feasibility of biomarker combination based on TMB and copy-number alteration (CNA) for the prognosis of each tumor and prediction for ICI therapy in metastatic pan-cancer milieu.

Experimental Design: Non-ICI-treated MSK pan-cancer cohort was used for prognosis analysis.

Ultrasound extraction optimization, structural features, and antioxidant activity of polysaccharides from Tricholoma matsutake.

An ultrasonic-assisted technique was employed to extract crude polysaccharide from Tricholoma matsutake fruiting bodies. Single-factor tests and orthogonal experimental design (L(3)) were used to obtain the optimal extraction conditions. Results showed that the optimal parameters were as follows: ultrasonic temperature, 40 °C; ultrasonic time, 50 min; water to raw material ratio, 25 ml/g; ultrasonic frequency, 45 kHz; and ultrasonic power, 100 W.

Enzymatic single-step preparation and antioxidant activity of hetero-chitooligosaccharides using non-pretreated housefly larvae powder.

A novel chitinolytic enzyme-producing bacterium Chitiniphilus sp. LZ32 was isolated. Non-pretreated Housefly larvae powder (HLP) was used as an adsorbent to purify chitinolytic enzymes.

Chemical analysis and antioxidant activity of polysaccharides extracted from Inonotus obliquus sclerotia.

Three water-soluble polysaccharide fractions (IOP40, IOP60 and IOP80) were isolated by using different concentrations of alcohol precipitation from Inonotus obliquus sclerotia. Their physicochemical properties, including total sugar content, protein content, monosaccharide composition and percentage were analyzed. And their in vitro antioxidant capacities were investigated in terms of reducing power assay and scavenging of 2,2-diphenyl-1-picrylhydrazyl (DPPH) radicals, hydroxyl radicals, superoxide anion radicals and hydrogen peroxide (H2O2).

Chemical modification of an acidic polysaccharide (TAPA1) from Tremella aurantialba and potential biological activities.

TAPA1 was previously isolated from Tremella aurantialba fruiting bodies. In this paper, an acetylated derivative (TAPA1-ac) and a deactylated derivative (TAPA1-deac) of TAPA1 were prepared, and their characterization and immunostimulating activities were reported. Acetylation and deacetylation were found to occur actually by FT-IR and NMR spectra, together with calculational results.

Purification, chemical modification and immunostimulating activity of polysaccharides from Tremella aurantialba fruit bodies.

Ultrafiltration and a series of chromatographic steps were used to isolate and purify polysaccharides from Tremella aurantialba fruit bodies. Three crude fractions (TAP50w, TAP10-50w, and TAP1-10w), five semi-purified fractions (TAPA-TAPE), and one purified fraction (TAPA1) were obtained. A sulfated derivative of TAPA1 (TAPA1-s) was prepared by chemical modification.

Structural elucidation and immuno-stimulating activity of an acidic heteropolysaccharide (TAPA1) from Tremella aurantialba.

A novel acidic heteropolysaccharide (TAPA1) was purified from hot water extracts of Tremella aurantialba fruiting bodies by DEAE-Sepharose Fast Flow and Sephacryl S-500 High-Resolution Chromatography. The heteropolysaccharide had a molecular weight of ca. 1.