Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer.

Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other diseases. However, the correlation between fatty acid metabolism and the development and progression of GC remains largely unknown.

The first case of esophageal mediastinal fistula after immunotherapy for non-small cell lung cancer: case report and literature review.

Background: Malignant esophageal mediastinal fistula is a severe complication that occurs in both the advanced stages of esophageal cancer and after radiotherapy for esophageal cancer. Esophageal mediastinal fistula is very susceptible to complications such as mediastinitis and mediastinal abscess, resulting in a significantly elevated mortality rate for patients. We reported a rare case of esophageal mediastinal fistula after immunotherapy for non-small cell lung cancer (NSCLC).

Interaction of AURKA with TRIM28 revives dormant LSCC cells via Akt signaling pathway to promote LSCC metastasis.

Background: Specific molecular mechanisms by which AURKA promoted LSCC metastasis were still unknown.

Methods: Bioinformatic analysis was performed the relationship between TRIM28 and LSCC. Immunohistochemistry, Co-IP assay, Rt-PCR and Western Blot were used to examine the expression of related molecular.

3D-printed aberration-free terahertz metalens for ultra-broadband achromatic super-resolution wide-angle imaging with high numerical aperture.

Terahertz (THz) lens constitutes a vital component in the THz system. Metasurfaces-based THz metalenses and classical bulky lenses are severely constrained by chromatic/ spherical aberration and the diffraction limit. Consequently, achromatic super-resolution THz lenses are urgently needed.

Basic Science and Pathogenesis.

Background: The human brain is a complex inter-wired system that emerges spontaneous functional fluctuations. In spite of tremendous success in the experimental neuroscience field, a system-level understanding of how brain anatomy supports various neural activities remains elusive.

Method: Capitalizing on the unprecedented amount of neuroimaging data, we present a physics-informed deep model to uncover the coupling mechanism between brain structure and function through the lens of data geometry that is rooted in the widespread wiring topology of connections between distant brain regions.