A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer

Abstract

Background: Glycolysis is critical in the occurrence and development of tumors. Owing to the biological and clinical heterogeneity of patients with BRCA, the traditional predictive classification system is far from satisfactory. Survival and prognosis biomarkers related to glycolysis have broad application prospects for assessing the risk of patients and guiding their individualized treatment.Methods: The mRNA expression profiles and clinical information of patients with BRCA were obtained from TCGA database, and glycolysis-related genes were obtained by GSEA. Patients with BRCA were randomly divided into the training cohort and testing cohort. Univariate and multivariate Cox analyses were used to establish and validate a new mRNA signature for predicting the prognosis of patients with BRCA.Results: We established a four-gene breast cancer prediction signature that included PGK1, SDHC, PFKL, and NUP43. The patients with BRCA in the training cohort and testing cohort were divided into high-risk and low-risk groups based on the signature. The AUC values were 0.74 (training cohort), 0.806 (testing cohort) and 0.769 (entire cohort), thereby showing that the prediction performance of the signature is acceptable. Additionally, Cox regression analysis revealed that four-gene signature could independently predict the prognosis of BRCA patients without being affected by clinical factors.Conclusion: We constructed a four-gene signature to predict the prognosis of patients with BRCA. This signature will aid in the early diagnosis and personalized treatment of breast cancer, but the specific associated biological mechanism requires further study.

Targeting PFKL with penfluridol inhibits glycolysis and suppresses esophageal cancer tumorigenesis in an AMPK/FOXO3a/BIM-dependent manner

“…5 ), suggesting that PFKL is an attracting therapeutic target for cancer treatment. Our findings were corroborated by the recent studies showing that PFKL is upregulated in breast cancer and liver cancer 3 , and associated with patient survival 47 , 48 . In our study, a combination of DARTS technology and mass spectrometry-based proteomics, as well as SPR assay, revealed the direct binding of penfluridol to PFKL.…”

Prognostication of Pancreatic Cancer Using The Cancer Genome Atlas Based Ferroptosis-Related Long Non-Coding RNAs

“…In the study by Zou et al (2014) , TRAF3IP2-AS1 expression was altered in gastric cancer cells after 125 I irradiation, providing a target for future drug development. AC099850.3 has been repeatedly extracted as a prognosis-related gene in the bioinformatics analysis of cancer, including squamous cell carcinoma of the tongue, hepatocellular carcinoma, and non-small cell lung cancer ( Hao Wu et al, 2020 ; Jia et al, 2020 ; Zheng et al, 2021a ; Junliang Zhou et al, 2021 ; Jiang et al, 2021 ; Wu et al, 2021 ; Xu et al, 2021 ; Zhang et al, 2021 ). The MIR193BHG motif can fine-tune cellular sterol/steroid biosynthesis by producing lincNORS to repress the expression of multiple pathway components ( Xue Wu et al, 2020 ).…”

Crocodylus porosus Sera a Potential Source to Identify Novel Epigenetic Targets: In Silico Analysis

“…The PGK1 gene encodes phosphoglycerate kinase enzyme, which is involved in a critical energy-producing process of glycolysis. Recently, PGK1 expression was reported as a part of a 7-gene signature and part of a 4-gene signature to predict the survival of breast cancer patients [ 23 , 24 ]. Furthermore, a higher expression of PGK1 was associated with poor prognosis in breast cancer, as it stimulated breast cancer progression and metastases [ 25 , 26 , 27 ].…”