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SHR Neuro Krebs Kardio Lipid

Perakis, SO; Thomas, JE; Pichler, M.
Non-coding RNAs Enabling Prognostic Stratification and Prediction of Therapeutic Response in Colorectal Cancer Patients.
Adv Exp Med Biol. 2016; 937(4):183-204
Web of Science PubMed FullText FullText_MUG


Autor/innen der Med Uni Graz:
Perakis Samantha
Pichler Martin

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Colorectal cancer (CRC) is a heterogeneous disease and current treatment options for patients are associated with a wide range of outcomes and tumor responses. Although the traditional TNM staging system continues to serve as a crucial tool for estimating CRC prognosis and for stratification of treatment choices and long-term survival, it remains limited as it relies on macroscopic features and cases of surgical resection, fails to incorporate new molecular data and information, and cannot perfectly predict the variety of outcomes and responses to treatment associated with tumors of the same stage. Although additional histopathologic features have recently been applied in order to better classify individual tumors, the future might incorporate the use of novel molecular and genetic markers in order to maximize therapeutic outcome and to provide accurate prognosis. Such novel biomarkers, in addition to individual patient tumor phenotyping and other validated genetic markers, could facilitate the prediction of risk of progression in CRC patients and help assess overall survival. Recent findings point to the emerging role of non-protein-coding regions of the genome in their contribution to the progression of cancer and tumor formation. Two major subclasses of non-coding RNAs (ncRNAs), microRNAs and long non-coding RNAs, are often dysregulated in CRC and have demonstrated their diagnostic and prognostic potential as biomarkers. These ncRNAs are promising molecular classifiers and could assist in the stratification of patients into appropriate risk groups to guide therapeutic decisions and their expression patterns could help determine prognosis and predict therapeutic options in CRC.
Find related publications in this database (using NLM MeSH Indexing)
Adenocarcinoma - blood
Adenocarcinoma - diagnosis
Adenocarcinoma - drug therapy
Adenocarcinoma - genetics
Antineoplastic Agents - pharmacology
Antineoplastic Agents - therapeutic use
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Colorectal Neoplasms - blood
Colorectal Neoplasms - diagnosis
Colorectal Neoplasms - drug therapy
Colorectal Neoplasms - genetics
Drug Monitoring -
Drug Resistance, Neoplasm - genetics
Early Detection of Cancer -
Forecasting -
Gene Expression Regulation, Neoplastic -
Humans -
MicroRNAs - blood
MicroRNAs - genetics
Prognosis -
RNA, Long Noncoding - biosynthesis
RNA, Long Noncoding - blood
RNA, Long Noncoding - genetics
RNA, Neoplasm - blood
RNA, Untranslated - biosynthesis
RNA, Untranslated - blood
RNA, Untranslated - genetics

Find related publications in this database (Keywords)
Long non-coding RNAs
Colorectal cancer
Therapeutic response
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