Lactate dehydrogenase A is implicated in the pathogenesis of B-cell lymphoma through regulation of the FER signaling pathway.
Xiumei FengJing RenXunqi ZhangDexiao KongLinlin YinQian ZhouShunye WangAi LiYanan GuoYongjing WangXiaoli FengXiaoyun WangJianhua NiuYang JiangChengyun ZhengPublished in: BioFactors (Oxford, England) (2024)
Lactate dehydrogenase A (LDHA) is highly expressed in various tumors. However, the role of LDHA in the pathogenesis of B-cell lymphoma remains unclear. Analysis of data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases revealed an elevated LDHA expression in diffuse large B-cell lymphoma (DLBC) tissues compared with normal tissues. Similarly, our results demonstrated a significant increase in LDHA expression in tumor tissues from the patients with B-cell lymphoma compared with those with lymphadenitis. To further elucidate potential roles of LDHA in B-cell lymphoma pathogenesis, we silenced LDHA in the Raji cells (a B-cell lymphoma cell line) using shRNA techniques. Silencing LDHA led to reduced mitochondrial membrane integrity, adenosine triphosphate (ATP) production, glycolytic activity, cell viability and invasion. Notably, LDHA knockdown substantially suppressed in vivo growth of Raji cells and extended survival in mice bearing lymphoma (Raji cells). Moreover, proteomic analysis identified feline sarcoma-related protein (FER) as a differential protein positively associated with LDHA expression. Treatment with E260, a FER inhibitor, significantly reduced the metabolism, proliferation and invasion of Raji cells. In summary, our findings highlight that LDHA plays multiple roles in B-cell lymphoma pathogenesis via FER pathways, establishing LDHA/FER may as a potential therapeutic target.
Keyphrases
- diffuse large b cell lymphoma
- induced apoptosis
- poor prognosis
- cell cycle arrest
- signaling pathway
- epstein barr virus
- oxidative stress
- pi k akt
- single cell
- climate change
- cell death
- machine learning
- dna methylation
- adipose tissue
- metabolic syndrome
- risk assessment
- big data
- genome wide
- young adults
- small molecule
- deep learning
- insulin resistance
- high fat diet induced
- amino acid
- lymph node metastasis