Xin, Wu

Abstract The recent development of imaging and sequencing technologies enables systematic advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in effectively handling and fully utilizing the accumulation of such enormous amounts of data. Machine learning-based approaches play a critical role in integrating and analyzing these large and complex datasets, which have extensively characterized lung cancer through the use of different perspectives from these accrued data. In this review, we provide an overview of machine learning-based approaches that strengthen the varying aspects of lung cancer diagnosis and therapy, including early detection, auxiliary diagnosis, prognosis prediction, and immunotherapy practice. Moreover, we highlight the challenges and opportunities for future applications of machine learning in lung cancer.

Introduction: The voltage-gated proton channel Hv1 is a member of the voltage-gated ion channel family. Hv1 channel controls acid extrusion and regulates pH homeostasis in various cell types. Recent evidence showed that the Hv1 were expressed in the heart. Hypothesis: We propose the Hv1 channel is associated with cardiac function. Methods: To investigate the role of Hv1 in cardiac myocytes, we performed a transcriptomic analysis of wild-type (WT) and Hv1-/- mouse hearts. Results: Hv1 null hearts exhibited a differential transcriptome profile compared with wild-type hearts. The RNA-seq data indicating impaired pH homeostasis in Hv1 null hearts were the downregulated NADPH oxidoreductases (NOXs) and decreased expression of Cl-/HCO3- exchanger. Additionally, Hv1 null hearts exhibited differential expression of cardiac ion channels, suggesting a potential role of Hv1 in cardiac electrophysiological remodeling. Conclusions: The data indicated that Hv1 was involved in cardiac pH homeostasis and showed that Hv1 was a regulator of gene transcriptional networks controlling NOX signaling and CO2 homeostasis in the heart. The study highlights the importance of Hv1 in cardiac function and may present a new target associated with heart diseases.