2018
DOI: 10.1007/s00018-018-2906-9
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Microsatellite instability in gastric cancer: molecular bases, clinical perspectives, and new treatment approaches

Abstract: Gastric cancer is one of the most aggressive malignancies, with limited treatment options in both locally advanced and metastatic setting, resulting in poor prognosis. Based on genomic characterization, stomach tumour has recently been described as a heterogeneous disease composed by different subtypes, each of them with peculiar molecular aspects and specific clinical behaviour. With an incidence of 22% among all western gastric tumour cases, stomach cancer with microsatellite instability was identified as on… Show more

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Cited by 174 publications
(182 citation statements)
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References 86 publications
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“…MSI-H GC was proposed as a distinct subgroup of GCs by two large scale molecular studies, The Cancer Genome Atlas (TCGA) and the Asian Cancer Research Group classification [65,68,69]. The incidence of MSI-H GCs varies between countries and ethnicity, ranging from 5.6 to 22.7% [65,68,[70][71][72][73].…”
Section: Microsatellite Instabilitymentioning
confidence: 99%
“…MSI-H GC was proposed as a distinct subgroup of GCs by two large scale molecular studies, The Cancer Genome Atlas (TCGA) and the Asian Cancer Research Group classification [65,68,69]. The incidence of MSI-H GCs varies between countries and ethnicity, ranging from 5.6 to 22.7% [65,68,[70][71][72][73].…”
Section: Microsatellite Instabilitymentioning
confidence: 99%
“…Although significant advancement has been made in distinguishing various molecular subtypes of GC, effective translation of these GC classifiers into clinical practice continues to depend upon two major factors: (i) their execution in the diagnostic laboratory; and (ii) the therapeutic implications of the classifiers. With respect to execution, clinically used genetic or histochemical techniques already exist for the identification of EBV, MSI and ERBB2 ‐positivity, whereas stratification of other more complex and heterogeneous subtypes is more technically challenging. For example, follow‐up work of the ACRG study developed a mesenchymal subtype 71‐gene signature using the NanoString platform, which showed high concordance with the Affymetrix microarray method in identifying patients of the MSS/EMT subtype .…”
Section: From Bench To Bedside: Translational and Clinical Utility Ofmentioning
confidence: 99%
“…MSI-H GC patients show significantly higher PD-L1 expression, compared to MSS GC patients (25.9% versus 8.4%, p � 0.003) [18,19] and accumulating data suggest improved survival and durable response to immunotherapy among patients with MSI-H status. e KEYNOTE-059 and KEYNOTE-061 trials report overall response rates (ORR) of 57.1% and 46.7%, respectively, although the numbers of MSI-H patients were small (n � 7 and n � 15, respectively) [6,10].…”
Section: Introductionmentioning
confidence: 97%