Expression of Mitochondrial Long Non-Coding RNAs, MDL1 and MDL1AS, Are Good Prognostic and/or Diagnostic Biomarkers for Several Cancers, Including Colorectal Cancer.
Pablo GarridoAdrian Casas-BenitoIgnacio M LarrayozJudit Narro-ÍñiguezSusana Rubio-MediavillaEnrique ZozayaAlfonso Martín-CarniceroAlfredo MartínezPublished in: Cancers (2024)
Non-coding RNAs provide new opportunities to identify biomarkers that properly classify cancer patients. Here, we study the biomarker status of the mitochondrial long non-coding RNAs, MDL1 and MDL1AS. Expression of these genes was studied in public transcriptomic databases. In addition, a cohort of 69 locally advanced rectal cancer (LARC) patients with a follow-up of more than 5 years was used to determine the prognostic value of these markers. Furthermore, cell lines of colorectal (HCT116) and breast (MDA-MB-231) carcinoma were employed to study the effects of downregulating MDL1AS in vitro. Expression of MDL1AS (but not MDL1) was significantly different in tumor cells than in the surrounding tissue in a tumor-type-specific context. Both MDL1 and MDL1AS were accurate biomarkers for the 5-year survival of LARC patients ( p = 0.040 and p = 0.007, respectively) with promising areas under the curve in the ROC analyses (0.820 and 0.930, respectively). MDL1AS downregulation reduced mitochondrial respiration in both cell lines. Furthermore, this downregulation produced a decrease in growth and migration on colorectal cells, but the reverse effects on breast cancer cells. In summary, MDL1 and MDL1AS can be used as reliable prognostic biomarkers of LARC, and MDL1AS expression provides relevant information on the diagnosis of different cancers.
Keyphrases
- poor prognosis
- long non coding rna
- rectal cancer
- locally advanced
- oxidative stress
- breast cancer cells
- squamous cell carcinoma
- healthcare
- cell proliferation
- emergency department
- ejection fraction
- mental health
- young adults
- newly diagnosed
- health information
- deep learning
- rna seq
- big data
- free survival
- patient reported
- drug induced
- genome wide analysis