Increased expression of FERM domain-containing 4A protein is closely associated with the development of rectal cancer

p53 induces circFRMD4A to suppress cancer development through glycolytic reprogramming and cuproptosis

Cuproptosis is a type of copper-induced cell death that mainly impacts cells relying on mitochondrial metabolism. Although p53 regulates glycolytic metabolism, its role in cuproptosis remains unclear. Here, we report that the circular RNA, circFRMD4A, is crucial for p53-mediated metabolic reprogramming and cuproptosis. CircFRMD4A originates from the transcript of FRMD4A, which is transcriptionally activated by p53, and the formation of circFRMD4A is facilitated by the RNA-binding protein EWSR1. CircFRMD4A functions as a tumor suppressor and enhances the sensitivity of cancer cells to elesclomol-induced cuproptosis. Mechanistic analysis reveals that circFRMD4A interacts with and inactivates the pyruvate kinase PKM2, leading to a decrease in lactate production and a redirection of glycolytic flux toward the tricarboxylic acid cycle. Finally, p53 agonists and elesclomol coordinately suppress the growth of cancer in a xenograft mouse model. Altogether, our study uncovers that p53 promotes glycolytic reprogramming and cuproptosis via circFRMD4A and suggests a potential combination strategy against cancers with wild-type p53.

Perinatal polychlorinated biphenyls and polychlorinated dibenzofurans exposure are associated with DNA methylation changes lasting to early adulthood: Findings from Yucheng second generation

Epigenome-wide DNA methylation has not been studied in men perinatally exposed to PCBs and dioxins. Therefore, we examined whether perinatal exposure to polychlorinated biphenyls (PCBs) and polychlorinated dibenzofurans (PCDFs) induces sustained methylation changes lasting to early adulthood. We used the Illumina HumanMethylation450 BeadChip to assess DNA methylation in whole blood among Yucheng second generation (people perinatal exposed to high PCBs and PCDFs) compared with referents. Thirty male offspring from the Yucheng cohort were randomly selected and matched with 30 male offspring from the Yucheng' neighborhood referents with similar backgrounds. Methylation differences between the Yucheng second generation and non-exposed referents were identified using a P value < 1.06 × 10^-7. Differential DNA methylation with epigenome-wide statistical significance was observed for 20 CpGs mapped to 11 genes, and 19 CpGs were correlated with gestational levels of PCBs or PCDF toxic equivalency (PCDF-TEQ) with the same direction of effect. Among the 11 genes, AHRR and CYP1A1 are involved in the aryl hydrocarbon receptor signaling pathway known to mediate dioxin toxicity. MYO1G, FRMD4A, ARL4C, OLFM1, and WWC3 were previously reported to be related to carcinogenesis. This is the first study examining genome-wide DNA methylation among people perinatally exposed to high concentrations of PCBs and PCDFs. We observed novel differential methylation of several genes, indicating that modifications of DNA methylation associated with perinatal PCB and PCDF exposure may persist in exposed offspring for more than 20 years. Furthermore, involvement of several carcinogesis-related genes suggested a potential in utero epigenetic mechanisms.

Characterization of potential driver mutations involved in human breast cancer by computational approaches

Breast cancer is the second most frequently occurring form of cancer and is also the second most lethal cancer in women worldwide. A genetic mutation is one of the key factors that alter multiple cellular regulatory pathways and drive breast cancer initiation and progression yet nature of these cancer drivers remains elusive. In this article, we have reviewed various computational perspectives and algorithms for exploring breast cancer driver mutation genes. Using both frequency based and mutational exclusivity based approaches, we identified 195 driver genes and shortlisted 63 of them as candidate drivers for breast cancer using various computational approaches. Finally, we conducted network and pathway analysis to explore their functions in breast tumorigenesis including tumor initiation, progression, and metastasis.