Special Issue "Non-coding RNAs as Colorectal Cancer Biomarkers: Mechanisms of Action and Treatment Options"
A special issue of Non-Coding RNA (ISSN 2311-553X).
Deadline for manuscript submissions: 31 July 2021.
Colorectal cancer (CRC) is the third most fatal type of cancer in both men and women globally. CRC is often diagnosed at advanced clinical stages.
Screening program strategies are generally based on 2 approaches: non invasive stool tests (guaiac test and fecal immunochemical test (FIT) being the most common) and physical examinations of the gut (including flexible sigmoidoscopy and colonoscopy), these lasts being able to detect both cancer and premalignant lesions but with an invasive, costly and not pleasant approach.
Recently, great progress has been achieved towards the understanding of the molecular basis of CRC, and therefore, a new era in diagnosis, prognosis, and therapeutic approaches has emerged. Despite the improvement in this direction, there is still an urgent need for new molecular biomarkers in CRC due to the heterogeneous nature of the malignancy.
In the last two decades, non coding RNA (ncRNAs) molecules including microRNAs (miRNAs), tRNA-derived fragments, Piwi-interacting RNAs (piRNAs), small nucleolar RNAs (snoRNAs) and long noncoding RNAs (lncRNAs) have demonstrated to be optimal candidates for biomarkers for cancer and can be detected also in surrogate tissues and biofluids. ncRNAs are involved in all hallmarks of CRC and constitute a hot research topic.
In this perspective, it would be interesting if such newly characterized biomolecules were further assessed for their potential value as molecular CRC biomarkers and/or therapeutic targets.
This Special Issue focuses on ncRNAs as novel molecular biomarkers in CRC and general approaches which will contribute to further elucidation of the underlying molecular mechanisms. Authors are encouraged to submit their research studies concerning this topic. All studies will be taken into consideration. The Guest Editors are willing to also evaluate manuscripts describing other aspects of CRC pathobiology proposed by the authors. We hope that this Special Issue regarding molecular biomarkers of colorectal cancer will rouse the interest of the readers of this journal.
Dr. Barbara Pardini
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Non-Coding RNA is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Non-coding RNAs
- Colorectal cancer
- microRNAs (miRNAs)
- Piwi-interacting RNAs (piRNAs)
- Long noncoding RNAs (lncRNAs)
- Small nuclear RNAs (snRNAs)
- Small nucleolar RNAs (snoRNAs)
- Extracellular RNAs (exRNAs)
- tRNA-derived RNA fragments, tRFs
- Colorectal cancer pathobiology
- Molecular biomarkers
- Colorectal cancer diagnosis and prognosis
- Prediction of therapy selection
- Therapeutic targets