Literature DB >> 26286354

Circulating microRNAs as Candidate Biomarkers for the Surveillance of Melanoma Patients.

Iris Behrmann1, Christiane Margue1, Stephanie Kreis1.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26286354      PMCID: PMC4534697          DOI: 10.1016/j.ebiom.2015.07.015

Source DB:  PubMed          Journal:  EBioMedicine        ISSN: 2352-3964            Impact factor:   8.143


× No keyword cloud information.
miRNAs are small non-coding RNAs affecting the expression of many genes and are regarded as crucial regulators involved in the fine-tuning of all cellular processes. Organ- and disease-specific miRNAs have been described. They are not only found within cells but also in body fluids, where they are stable and can easily be detected, e.g. by RNA-Seq or qPCR. Thus, miRNAs seem ideal biomarkers for diagnosis and prognosis of a variety of diseases, including cancer. This applies in particular to cell-free miRNAs from body fluids because they are readily accessible in a cost-effective way (see e.g., Schwarzenbach et al., 2014). The study by Stark et al. (2015b), published in this issue of EBioMedicine, describes a panel of miRNAs as potential biomarkers in melanoma, for diagnosing early recurrence and for estimating survival. Diagnostic miRNA biomarkers might be particularly useful as a screening tool for developing metastatic lesions and for the follow up of stage III patients. Moreover, miRNA biomarkers with predictive value could be supportive in the clinical management of melanoma: e. g. patients with a low-risk score could be spared from aggressive adjuvant treatment and expensive imaging surveillance. The authors started with the analysis of 17 miRNAs, the selection criterion being “high enrichment in melanoma”: most of the included miRNAs were expressed at least 15-fold higher in a set of 55 melanoma cell lines compared to 34 other solid cancer cell lines (Stark et al., 2015a). When analyzing stage III and stage IV melanoma tissues, Stark and colleagues could identify miRNAs which were predictors of tumor stage, recurrence and overall survival. A subset of 7 miRNAs (MELmiR-7 panel) was later derived, which was particularly informative when analyzing the sera of melanoma patients. Within the MELmiR-7 panel, combinations of 4 or 5 (serum) miRNAs were identified which allowed for discrimination of different disease stages with high sensitivity and specificity and, importantly, with a better diagnostic score than currently applied serological tests based on LDH and S100B. Intuitively, one might have expected that the expression of the “melanoma-enriched” miRNAs included in the analyzed panels would increase in tissue and serum as a function of melanoma progression. Intriguingly, however, the expression level of the majority of the miRNAs was lower, not higher, in the serum of melanoma patients compared to healthy controls and was also lower in stage IV versus stage III tissue samples. Possibly, the differentially expressed serum miRNAs do not derive from the tumor cells, but from other sources like blood cells or endothelial cells. As discussed by the authors, the observed decreased expression of miRNAs in the serum might also reflect a systemic response to the tumor, e. g. based on a different cytokine pattern elicited by the cancer cells and their microenvironment. Another interesting finding was that the serum expression level of miR-211 in stage IV patients is indicative for their survival time, a high expression correlating with shorter survival. MiR-211 is a known lineage-specific miRNA under MITF control, and a high serum level in late-stage melanoma patients has been reported before (Margue et al., 2013, Margue et al., 2015, Saldanha et al., 2013, Stark et al., 2015a). Many of the 17 miRNAs analyzed in the present study had not been in the focus of previous studies describing melanoma-specific miRNA signatures with potential diagnostic and predictive value (e. g. Friedman et al., 2012; Greenberg et al., 2013; Saldanha et al., 2013). We recently analyzed a larger panel (88 serum miRNAs), selected on the basis of whole miRNome arrays of serum samples of melanoma patients and healthy controls (Margue et al., 2015). Also in our study, miR-211 was among the miRNAs which could be used to discriminate stage IV tumors from healthy serum while miR-16 was rather down-regulated in contrast to the up-regulation reported by Stark. However, miR-16 levels need to be interpreted with caution as it has been shown to be highly expressed in erythrocytes, therefore it may be considered a marker of hemolytic serum (Pritchard et al., 2012). It will be important to see how well the results of the present study involving a sensitive method of detection and relatively large cohorts of patients and controls can be reproduced in other centers. As reviewed recently by Jarry et al. (2014), non-congruence between results of different studies on circulating miRNAs in oncology has been a frequent observation, due to the inherently low concentration of secreted miRNAs, the use of different platforms and many possible technological pitfalls. Similar to previous initiatives regarding qPCR (MIQE) and microarray analysis (MIAME), common guidelines regarding quality controls of the various pre- and post-analytical steps (for extraction methods, pre-amplification steps, normalization factors, possible blood cell contaminations, bioinformatic analysis, etc.) and the documentation thereof would greatly facilitate the definition and refinement of robust miRNA biomarkers for the benefit of patients with melanoma and other cancers. The present publication rightfully underlines that a reasoning such as ‘miRNAs released from the tumor reflect miRNA expression of the malignant cells’ and therefore ‘serum miRNAs reflect tumor burden’ is certainly too simplistic. An area of ongoing investigation is the selective sorting of intracellular miRNAs into exosomes which are then released from the cells. It seems clear that this is not a passive process; consensus sequences within miRNAs might facilitate their secretion (Villarroya-Beltri et al., 2013). It can be envisaged that the process of miRNA secretion is regulated and that cancer cells might exploit this process to secrete or retain different miRNAs to gain selective growth advantages. Another fascinating field of research is the investigation of possible “messenger functions” of secreted miRNAs regarding metastatic spread or drug resistance. The study by Stark and colleagues adds novel information to the miRNA biomarker field in melanoma. It will now be interesting to see in future cohorts how the MELmiR-7 panel will perform in the surveillance of stage III patients to allow for an earlier detection of tumor recurrence, so that adjuvant, systemic or targeted therapies can be offered at an earlier time point, for the benefit of the patients affected by this fatal disease.

Disclosure

We acknowledge the Fondation Cancer (Luxembourg) for supporting a study on serum miRNAs in melanoma. We declare that we have no competing interest.
  11 in total

1.  Plasma microRNA-21 is associated with tumor burden in cutaneous melanoma.

Authors:  Gerald Saldanha; Linda Potter; Priya Shendge; Joy Osborne; Steve Nicholson; NgiWieh Yii; Sanjay Varma; Muhammad Imran Aslam; Shona Elshaw; Eftychios Papadogeorgakis; J Howard Pringle
Journal:  J Invest Dermatol       Date:  2013-01-10       Impact factor: 8.551

Review 2.  The validity of circulating microRNAs in oncology: five years of challenges and contradictions.

Authors:  J Jarry; D Schadendorf; C Greenwood; A Spatz; L C van Kempen
Journal:  Mol Oncol       Date:  2014-03-06       Impact factor: 6.603

3.  A comparative analysis of total serum miRNA profiles identifies novel signature that is highly indicative of metastatic melanoma: a pilot study.

Authors:  Eyal Greenberg; Michal J Besser; Eytan Ben-Ami; Ronnie Shapira-Frommer; Orit Itzhaki; Dragoslav Zikich; Daphna Levy; Adva Kubi; Eran Eyal; Amir Onn; Yehudit Cohen; Iris Barshack; Jacob Schachter; Gal Markel
Journal:  Biomarkers       Date:  2013-07-29       Impact factor: 2.658

4.  Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies.

Authors:  Colin C Pritchard; Evan Kroh; Brent Wood; Jason D Arroyo; Katy J Dougherty; Melanie M Miyaji; Jonathan F Tait; Muneesh Tewari
Journal:  Cancer Prev Res (Phila)       Date:  2011-12-12

Review 5.  Clinical relevance of circulating cell-free microRNAs in cancer.

Authors:  Heidi Schwarzenbach; Naohiro Nishida; George A Calin; Klaus Pantel
Journal:  Nat Rev Clin Oncol       Date:  2014-02-04       Impact factor: 66.675

6.  Comparison of a healthy miRNome with melanoma patient miRNomes: are microRNAs suitable serum biomarkers for cancer?

Authors:  Christiane Margue; Susanne Reinsbach; Demetra Philippidou; Nicolas Beaume; Casandra Walters; Jochen G Schneider; Dorothée Nashan; Iris Behrmann; Stephanie Kreis
Journal:  Oncotarget       Date:  2015-05-20

7.  Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs.

Authors:  Carolina Villarroya-Beltri; Cristina Gutiérrez-Vázquez; Fátima Sánchez-Cabo; Daniel Pérez-Hernández; Jesús Vázquez; Noa Martin-Cofreces; Dannys Jorge Martinez-Herrera; Alberto Pascual-Montano; María Mittelbrunn; Francisco Sánchez-Madrid
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

8.  Serum microRNAs as biomarkers for recurrence in melanoma.

Authors:  Erica B Friedman; Shulian Shang; Eleazar Vega-Saenz de Miera; Jacob Ulrik Fog; Maria Wrang Teilum; Michelle W Ma; Russell S Berman; Richard L Shapiro; Anna C Pavlick; Eva Hernando; Adam Baker; Yongzhao Shao; Iman Osman
Journal:  J Transl Med       Date:  2012-08-02       Impact factor: 5.531

9.  The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis.

Authors:  Mitchell S Stark; Kerenaftali Klein; Benjamin Weide; Lauren E Haydu; Annette Pflugfelder; Yue Hang Tang; Jane M Palmer; David C Whiteman; Richard A Scolyer; Graham J Mann; John F Thompson; Georgina V Long; Andrew P Barbour; H Peter Soyer; Claus Garbe; Adrian Herington; Pamela M Pollock; Nicholas K Hayward
Journal:  EBioMedicine       Date:  2015-05-12       Impact factor: 8.143

10.  New target genes of MITF-induced microRNA-211 contribute to melanoma cell invasion.

Authors:  Christiane Margue; Demetra Philippidou; Susanne E Reinsbach; Martina Schmitt; Iris Behrmann; Stephanie Kreis
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

View more
  2 in total

Review 1.  MicroRNA heterogeneity in melanoma progression.

Authors:  Anita Thyagarajan; Kenneth Y Tsai; Ravi P Sahu
Journal:  Semin Cancer Biol       Date:  2019-06-01       Impact factor: 15.707

2.  Metabolic reprogramming of stromal fibroblasts by melanoma exosome microRNA favours a pre-metastatic microenvironment.

Authors:  Shin La Shu; Yunchen Yang; Cheryl L Allen; Orla Maguire; Hans Minderman; Arindam Sen; Michael J Ciesielski; Katherine A Collins; Peter J Bush; Prashant Singh; Xue Wang; Martin Morgan; Jun Qu; Richard B Bankert; Theresa L Whiteside; Yun Wu; Marc S Ernstoff
Journal:  Sci Rep       Date:  2018-08-27       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.