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Cross-platform Data Analysis Reveals a Generic Gene Expression Signature for Microsatellite Instability in Colorectal Cancer
المؤلفون المشاركون
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-17
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The dysfunction of the DNA mismatch repair system results in microsatellite instability (MSI).
MSI plays a central role in the development of multiple human cancers.
In colon cancer, despite being associated with resistance to 5-fluorouracil treatment, MSI is a favourable prognostic marker.
In gastric and endometrial cancers, its prognostic value is not so well established.
Nevertheless, recognising the MSI tumours may be important for predicting the therapeutic effect of immune checkpoint inhibitors.
Several gene expression signatures were trained on microarray data sets to understand the regulatory mechanisms underlying microsatellite instability in colorectal cancer.
A wealth of expression data already exists in the form of microarray data sets.
However, the RNA-seq has become a routine for transcriptome analysis.
A new MSI gene expression signature presented here is the first to be valid across two different platforms, microarrays and RNA-seq.
In the case of colon cancer, its estimated performance was (i) AUC = 0.94, 95% CI = (0.90 – 0.97) on RNA-seq and (ii) AUC = 0.95, 95% CI = (0.92 – 0.97) on microarray.
The 25-gene expression signature was also validated in two independent microarray colon cancer data sets.
Despite being derived from colorectal cancer, the signature maintained good performance on RNA-seq and microarray gastric cancer data sets (AUC = 0.90, 95% CI = (0.85 – 0.94) and AUC = 0.83, 95% CI = (0.69 – 0.97), respectively).
Furthermore, this classifier retained high concordance even when classifying RNA-seq endometrial cancers (AUC = 0.71, 95% CI = (0.62 – 0.81).
These results indicate that the new signature was able to remove the platform-specific differences while preserving the underlying biological differences between MSI/MSS phenotypes in colon cancer samples.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pačínková, Anna& Popovici, Vlad. 2019. Cross-platform Data Analysis Reveals a Generic Gene Expression Signature for Microsatellite Instability in Colorectal Cancer. BioMed Research International،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1126923
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pačínková, Anna& Popovici, Vlad. Cross-platform Data Analysis Reveals a Generic Gene Expression Signature for Microsatellite Instability in Colorectal Cancer. BioMed Research International No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1126923
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pačínková, Anna& Popovici, Vlad. Cross-platform Data Analysis Reveals a Generic Gene Expression Signature for Microsatellite Instability in Colorectal Cancer. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1126923
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126923
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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