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Individual Assignment of Adult Diffuse Gliomas into the EM/PM Molecular Subtypes Using a TaqMan Low-Density Array.

Li, Jiuyi (author)
Xue, Yang (author)
Wenger, Anna, 1990 (author)
Gothenburg University,Göteborgs universitet,Sahlgrenska Cancer Center,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
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Sun, Yingyu (author)
Wang, Zheng (author)
Zhang, Chuan-Bao (author)
Zhang, Yunqiu (author)
Fekete, Boglarka (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Rydenhag, Bertil, 1954 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Jakola, Asgeir Store (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Jiang, Tao (author)
Carén, Helena, 1979 (author)
Gothenburg University,Göteborgs universitet,Sahlgrenska Cancer Center,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine
Fan, Xiaolong (author)
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 (creator_code:org_t)
2019
2019
English.
In: Clinical cancer research : an official journal of the American Association for Cancer Research. - 1078-0432. ; 25:23, s. 7068-7077
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We aimed to develop a diagnostic platform to capture the transcriptomic resemblance of individual adult diffuse gliomas of WHO grades II-IV to neural development and the genomic signature associated with glioma progression.Based on the EM/PM classification scheme, we designed a RT-PCR-based TaqMan Low-density array (TLDA) containing 44 classifier and 4 reference genes. Samples of a training data set (GSE48865), characterized by RNA-sequencing, were utilized to optimize the TLDA design and to develop a support vector machine (SVM)-based prediction model. Complemented with Sanger sequencing for IDH1/2, and low coverage whole genome sequencing (WGS), the TLDA and SVM prediction model were tested in a validation (31 gliomas) and a test (121 gliomas) dataset.Independent of morphologically defined subtypes and grades, gliomas can be individually assigned into the EM and PM glioma subtypes with the respective areas under ROC curves at 0.86 and 0.85 in the validation dataset. The EM gliomas showed a medium overall survival (OS) of 15.6 months, whereas the medium OS for PM gliomas was not reached (hazard ratio = 3.55, 95% confidence interval: 1.96 to 6.45). The EM and PM gliomas showed distinct patterns of genomic alterations, with IDH mutation and 1p19q co-deletion in the PM gliomas and gain of chromosome 7/loss of chromosome 10 in the EM gliomas. Extensive chromosomal abnormalities marked the progression of PM gliomas.The integration of EM/PM subtyping, IDH sequencing and low coverage WGS may improve the risk stratification and selection of treatment regimens for glioma patients.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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