MUC1 Tissue Expression and Its Soluble Form CA15-3 Identify a Clear Cell Renal Cell Carcinoma with Distinct Metabolic Profile and Poor Clinical Outcome.
Giuseppe LucarelliMonica RutiglianoDavide LoizzoNicola Antonio di MeoFrancesco LasorsaMauro Giuseppe MastropasquaEugenio MaioranoCinzia BizzocaLeonardo VincentiMichele BattagliaPasquale DitonnoPublished in: International journal of molecular sciences (2022)
An altered metabolism is involved in the development of clear cell renal carcinoma (ccRCC). MUC1 overexpression has been found to be associated with advanced disease and poor prognosis. In this study, we evaluated the metabolomic profile of human ccRCC, according to MUC1 expression, and integrated it with transcriptomic data. Moreover, we analyzed the role of MUC1 in sustaining ccRCC aggressiveness and the prognostic value of its soluble form CA15-3. Integrated metabolomic and transcriptomic analysis showed that MUC1-expressing ccRCC was characterized by metabolic reprogramming involving the glucose and lipid metabolism pathway. In addition, primary renal cancer cells treated with a small interfering RNA targeting MUC1 (siMUC1) migrated and proliferated at a slower rate than untreated cancer cells. After cisplatin treatment, the death rate of cancer cells treated with siMUC1 was significantly greater than that of untreated cells. Kaplan-Meier curves showed significant differences in CSS and PFS among groups of patients with high versus low levels of CA15-3. In a multivariate analysis, CA15-3 was an independent adverse prognostic factor for cancer-specific and progression-free survival. In conclusion, MUC1 expressing ccRCC is characterized by a particular metabolic reprogramming. The inhibition of MUC1 expression decreases cell motility and viability and improves cisplatin susceptibility, suggesting that this pathway can regulate de novo chemotherapy resistance in ccRCC.
Keyphrases
- poor prognosis
- long non coding rna
- free survival
- prognostic factors
- single cell
- cell proliferation
- type diabetes
- machine learning
- escherichia coli
- clear cell
- transcription factor
- insulin resistance
- electronic health record
- radiation therapy
- pseudomonas aeruginosa
- papillary thyroid
- cystic fibrosis
- biofilm formation
- deep learning
- squamous cell
- candida albicans
- wild type
- pluripotent stem cells