Molecular biomarkers for prognosis of gastrointestinal stromal tumor View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

X. Liu, K.-M. Chu

ABSTRACT

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gastrointestinal tract. However, the development of molecular markers, especially circulating biomarkers, remains largely undone for the prognosis of GIST. We discussed the clinical-pathological characteristics of GIST and identified potential biomarkers for guidance of therapy and prognosis of GIST. Around 90% of GISTs contain mutations in KIT or PDGFRA and the remaining 10% of GISTs are wild-type. Recent studies have indicated that various DNAs and miRNAs could serve as potential biomarkers for prognosis of GIST, including KIT, PDGFRA, other DNAs (such as BRAF, SDH, SETD2 and ROR2), and microRNAs (miRNAs). The pressing need and challenges in the development of circulating prognostic biomarkers for GIST are also discussed. Although challenges remain, DNAs and miRNAs are promising circulating biomarkers for surveillance and prognosis of GIST. Advances in clarification of aberrant molecular alterations may open new avenues for exploration of reliable and robust biomarkers to improve the management of GIST. More... »

PAGES

1-7

References to SciGraph publications

  • 2014-09. miR-137 regulates epithelial-mesenchymal transition in gastrointestinal stromal tumor in TUMOR BIOLOGY
  • 2015-05. microRNA-218 increase the sensitivity of gastrointestinal stromal tumor to imatinib through PI3K/AKT pathway in CLINICAL AND EXPERIMENTAL MEDICINE
  • 2015-11. Clinicopathological significance of c-KIT mutation in gastrointestinal stromal tumors: a systematic review and meta-analysis in SCIENTIFIC REPORTS
  • 2013-02. Loss of expression of SDHA predicts SDHA mutations in gastrointestinal stromal tumors in MODERN PATHOLOGY
  • 2003-12. Tumor suppressor gene hypermethylation as a predictor of gastric stromal tumor behavior in JOURNAL OF GASTROINTESTINAL SURGERY
  • 2015-12. Detection of KIT and PDGFRA mutations in the plasma of patients with gastrointestinal stromal tumor in TARGETED ONCOLOGY
  • 2004-07. MicroRNAs: small RNAs with a big role in gene regulation in NATURE REVIEWS GENETICS
  • 2008-09. Circulating mutant DNA to assess tumor dynamics in NATURE MEDICINE
  • 2017-01. Detection of mutations in the BRAF gene in patients with KIT and PDGFRA wild-type gastrointestinal stromal tumors in VIRCHOWS ARCHIV
  • 2012-10. Integrating Bioinformatics and Clinicopathological Research of Gastrointestinal Stromal Tumors: Identification of Aurora Kinase A as a Poor Risk Marker in ANNALS OF SURGICAL ONCOLOGY
  • 2015-12. Correlation between mutational status and survival and second cancer risk assessment in patients with gastrointestinal stromal tumors: a population-based study in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 2011-12. Gastrointestinal stromal tumours: origin and molecular oncology in NATURE REVIEWS CANCER
  • 2016-06. PIK3C2A is a gene-specific target of microRNA-518a-5p in imatinib mesylate-resistant gastrointestinal stromal tumor in LABORATORY INVESTIGATION
  • 2009-09. Loss of RKIP expression is associated with poor survival in GISTs in VIRCHOWS ARCHIV
  • 2014-11. microRNA expression signatures of gastrointestinal stromal tumours: associations with imatinib resistance and patient outcome in BRITISH JOURNAL OF CANCER
  • 2006-11. MicroRNA signatures in human cancers in NATURE REVIEWS CANCER
  • 2010-12. Chromosome copy number changes carry prognostic information independent of KIT/PDGFRA point mutations in gastrointestinal stromal tumors in BMC MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12094-018-1914-4

    DOI

    http://dx.doi.org/10.1007/s12094-018-1914-4

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30003531


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