{Reference Type}: Journal Article
{Title}: A predictive study of genes related to lactic acid metabolism in cervical carcinoma.
{Author}: Zou K;Ou J;
{Journal}: J Obstet Gynaecol Res
{Volume}: 0
{Issue}: 0
{Year}: 2024 Jun 25
{Factor}: 1.697
{DOI}: 10.1111/jog.15994
{Abstract}: OBJECTIVE: Lactic acid metabolism, a hallmark of carcinogenesis, may play potential roles in cervical carcinoma, assisting the prognosis prediction.
METHODS: A regression analysis was conducted to identify the ones with the most frequent variation in mutations and CNV changes in lactate metabolism-related (L-related) genes, after which a prognostic nomogram was built based on selected genes and clinical features by machine learning methods.
RESULTS: EGLN1, IL1, IL12RB1, ENO1, and 10 other genes had the most frequent changes and prognostic differences in overall survival (OS). The lactated associated risk (LAR) score model can distinguish the patients in OS (p = 0.046, HR = 101.9, 95%CI 1.1-9447.6), and together with clinical features has a higher AUC (AUC = 0.839). Furthermore, CD8+ T, activated CD4+ memory T and resting mast cells were significantly negatively associated with the LAR score.
CONCLUSIONS: Lactic acid metabolism is closely related to the prognosis of cervical carcinoma, where the immune microenvironment may play an important role.