Research Progress in Elucidating the Mechanisms Underlying Resveratrol Action on Lung Cancer.

Resveratrol has several functions, including protection of the heart and nervous system and exerts antidiabetic, anti-inflammatory, anti-aging, and antitumor effects. It is reported to impede the occurrence and development of tumors in cancer cell lines, animal models, and clinical studies. In vitro and in vivo experiments show that it exerts preventive or adjuvant therapeutic effects in pancreatic, colorectal, prostate, liver, and lung cancers. Mechanistic research reports show that resveratrol can induce tumor cell apoptosis and autophagy, inhibit cell cycle and angiogenesis, regulate nuclear factors and cyclooxygenase signal transduction pathways, and inhibit carcinogens' metabolic activation and alter tumor-related expression patterns; anti-oxidation affects tumor cell proliferation, metastasis, and apoptosis. However, the exact mechanism underlying its action remains unclear. This review highlights multiple aspects of the biological impacts and mechanisms underlying resveratrol action on the occurrence and development of lung cancer.

Deciphering cell-cell interactions and communication in the tumor microenvironment and unraveling intratumoral genetic heterogeneity via single-cell genomic sequencing.

A tumor's heterogeneity has important implications in terms of its clonal origin, progression, stemness, and drug resistance. Therefore, because of its significance in treatment, it is important to understand the gene expression pattern of a single cell, track gene expression or mutation in heterogeneous cells, evaluate the clonal origin of cancer cells, and determine the selective evolution of different subpopulations of cancer cells. Researchers are able to trace a cell's mutation and identify different types of tumor cells by measuring the whole transcriptome with single-cell sequencing (scRNA-seq). This technology provides a better understanding of the molecular mechanisms driving tumor growth than that offered by traditional RNA sequencing methods. In addition, it has revealed changes in the mutations and functions of somatic cells as a tumor evolves; it has also clarified immune cell infiltration and activation. Research on scRNA-seq technology has recently advanced significantly, suggesting new strategies for the treatment of cancer. In short, cancer researchers have become increasingly dependent on scRNA-seq. This paper reviews the development, detection principles, and processes of scRNA-seq technology and their application in tumor research. It also considers potential clinical applications.

Heterogeneity helps us determine the clonal origin, progression, and drug resistance of cancer cells.The gene expression pattern of a single cell has important biological significance.scRNA-seq enables a better understanding of cancer cells' molecular mechanisms.scRNA-seq provides information about the entirety of a tumor from what we can learn about a single cell.

The role of ceRNA-mediated diagnosis and therapy in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide due to its high degree of malignancy, high incidence, and low survival rate. However, the underlying mechanisms of hepatocarcinogenesis remain unclear. Long non coding RNA (lncRNA) has been shown as a novel type of RNA. lncRNA by acting as ceRNA can participate in various biological processes of HCC cells, such as tumor cell proliferation, migration, invasion, apoptosis and drug resistance by regulating downstream target gene expression and cancer-related signaling pathways. Meanwhile, lncRNA can predict the efficacy of treatment strategies for HCC and serve as a potential target for the diagnosis and treatment of HCC. Therefore, lncRNA serving as ceRNA may become a vital candidate biomarker for clinical diagnosis and treatment. In this review, the epidemiology of HCC, including morbidity, mortality, regional distribution, risk factors, and current treatment advances, was briefly discussed, and some biological functions of lncRNA in HCC were summarized with emphasis on the molecular mechanism and clinical application of lncRNA-mediated ceRNA regulatory network in HCC. This paper can contribute to the better understanding of the mechanism of the influence of lncRNA-mediated ceRNA networks (ceRNETs) on HCC and provide directions and strategies for future studies.