| Literature DB >> 27458529 |
Jay Hocking1, Sridurga Mithraprabhu2, Anna Kalff3, Andrew Spencer1.
Abstract
Circulating free nucleic acids; cell free DNA and circulating micro-RNA, are found in the plasma of patients with hematologic and solid malignancies at levels higher than that of healthy individuals. In patients with hematologic malignancy cell free DNA reflects the underlying tumor mutational profile, whilst micro-RNAs reflect genetic interference mechanisms within a tumor and potentially the surrounding microenvironment and immune effector cells. These circulating nucleic acids offer a potentially simple, non-invasive, repeatable analysis that can aid in diagnosis, prognosis and therapeutic decisions in cancer treatment.Entities:
Keywords: Circulating nucleic acids; DNA; biopsy; hematologic malignancy; miRNA
Year: 2016 PMID: 27458529 PMCID: PMC4944540 DOI: 10.20892/j.issn.2095-3941.2016.0025
Source DB: PubMed Journal: Cancer Biol Med ISSN: 2095-3941 Impact factor: 4.248
Techniques and targets of measurement of circulating nucleic acids, with relative advantages and disadvantages.
| cfNA | Target | Technique | Comment |
| DNA | Mutation specific (eg. KRAS/NRAS) | PCR | Tumor specific and sensitive; potential use in longitudinal monitoring; may not be practical for broad screening |
| Loss of heterozygosity (LOH) | PCR | Issues of reproducibility; circulating measurements inconsistent with primary tumor findings | |
| Epigenetic (eg. methylation) | Bisulfite sequencing,Methylation specific PCR | Specific and sensitive tool; requires knowledge of candidate genes for specific testing; complex process | |
| Viral DNA | PCR | Potential in malignancies associated with specific viruses (DLBCL, Burkitts); benign viral infection may complicate results | |
| Nucleosomes | ELISA | Useful for tumor with high turnover/rates of apoptosis; may also be elevated in non-malignant conditions | |
| MicroRNA | - | Microarray | Broad application for miRNA identification; cannot quantify miRNA; issues of sensitivity and reproducibility; inter-array variability and inconsistency |
| - | RT-PCR | Useful for monitoring single miRNA; issues with standardization | |
| - | NGS | Potential for novel miRNA discovery; costly; highly specialized techniques |
Papers evaluating miRNA changes to differentiate healthy donors (HD) from MGUS and MM. Those in bold have been replicated in different studies.
| Author | MiRNA increased | MiRNA decreased | Comment |
| Besse [ | MiR-130a | Elevated in patients with extra-medullary disease over MM | |
| Navarro [ | - | MiR-16, miR-17, miR-19b, miR-20a, miR-660 | MiRNA levels increased in patients achieving CR but did not reach healthy normal |
| Wang [ | - | Let7a, let7b, let7i, miR-15a, miR-15b, miR-16, miR-20a, miR-21, miR-106b, miR-223, miR-361 | 4 of 11 reduced in MGUS,8 of 11 reduced in SMM, 11 of 11 reduced in MM - suggests progressive 'accumulation' of miRNA dysregulation with progressive disease |
| Sevcikova [ | MiR-142-5p, miR-660, miR-29a | ||
| Huang [ | MiR-148a, miR-181a, miR20a, miR221, miR-99b | MiR20a finding conflicts with other groups | |
| Kubiczkova [ | MiR-34a | Let7d, let7e, miR-130a, miR-744 | Combination of let7e and miR-744 provided best ROC characteristics to differentiate HD and either MGUS or MM |
| Jones [ | MiR-720, miR-1246 | MiR-1308 | Different combinations of the three required to differentiate HD from MGUS or MM |
| Hao [ | MiR-4254 | MiR-19a | Combination could distinguish HD or MM |
| Lionetti [ | 42 upregulated | 41 downregulated | Differentiate MM & PCL |