STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.

Safety and clinical efficacy of neoadjuvant chemoradiation therapy with immunotherapy for organ preservation in ultra-low rectal cancer: preliminary results of the CHOICE-I trial: a prospective cohort study.

Objective: To explore the safety and efficacy of neoadjuvant chemoradiotherapy (nCRT) combined with a PD-1 antibody in improving complete clinical response (cCR) and organ preservation in patients with ultra-low rectal cancer.

Methods: This was a prospective phase II, single-arm, open-label trial. Patients with confirmed pMMR status T1-3aN0-1M0 retcal adenocarcinoma were included.

Artificial Intelligence Predicts Multiclass Molecular Signatures and Subtypes Directly From Breast Cancer Histology: a Multicenter Retrospective Study.

Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.

Multiorgan proteomic analysis of infected animal models predict potential host factors for chikungunya virus.

Chikungunya virus (CHIKV) is a mosquito-borne alphavirus that is primarily known for causing severe joint and muscle symptoms, but its pathological effects have extended beyond these tissues. In this study, we conducted a comprehensive proteomic analysis across various organs in rodent and nonhuman primate models to investigate CHIKV's impact on organs beyond joints and muscles and to identify key host factors involved in its pathogenesis. Our findings reveal significant species-specific similarities and differences in immune responses and metabolic regulation, with proteins like Interferon-Stimulated Gene 15 (ISG15) and Retinoic Acid-Inducible Gene I (RIG-I) playing crucial roles in the anti-CHIKV defense.

Designing a 2D van der Waals oxide with lone-pair electrons as chemical scissor.

Two-dimensional (2D) van der Waals (vdW) materials are known for their intriguing physical properties, but their rational design and synthesis remain a great challenge for chemists. In this work, we successfully synthesized a new non-centrosymmetric oxide, i.e.