Polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method

Abstract

The invention discloses a polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method. The method comprises the steps of obtaining a prognosis risk gene listand a gene weight of a glioblastoma; building a prognosis evaluation model by utilizing a tumor tissue transcriptome and survival data of a glioblastoma patient; calculating a risk score of the patient based on a gene expression spectrum of tumor tissues of the glioblastoma patient; and calculating the annual survival probability of the patient based on the risk score of the patient. A fact thatannual survival probability of the glioblastoma patient obtained by the method is highly consistent with the actual annual survival rate (the linear correlation R2=0.963, and P value=1.38 E-13) provesthat the method has very high prediction accuracy and is highly consistent with the actual survival state. At the same time, for each tumor patient, the polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method can work out the special survival probability curve of the patient.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a personalized prognosis evaluation method for glioblastoma based on a polygene expression profile. Background technique [0002] Glioblastoma is the most common and most aggressive form of brain cancer. Symptoms are not obvious at first, and patients may have headaches, personality changes, nausea, and stroke-like symptoms. Symptoms during exacerbations come on very quickly and may leave the patient unconscious. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from brain and nervous system cancers worldwide reached 780,000, of which 260,000 were in China. In 2016, the number of deaths from brain cancer patients worldwide was 230,000, accounting for 0.42% of the total deaths. In 2016, the number of patients who died in China was 59,000, accounting for 0.61% of the total number of deaths. The statistical results show ...

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Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

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