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Method for predicting abnormity of triple negative breast cancer spindle assembly checkpoints by means of lncRNA-mRNA co-expression network

A technology for triple-negative breast cancer and network prediction, applied in medical data mining, health index calculation, medical informatics, etc., can solve the functional defects of spindle checkpoints, the imbalance of spindle checkpoint expression, polymorphism, etc. question

Active Publication Date: 2018-08-28
范志民
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Problems solved by technology

Many tumor cells have defects in spindle checkpoint function, and the dysregulation of spindle checkpoint expression, gene single nucleotide polymorphism and promoter methylation may be related to its abnormal function

Method used

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  • Method for predicting abnormity of triple negative breast cancer spindle assembly checkpoints by means of lncRNA-mRNA co-expression network
  • Method for predicting abnormity of triple negative breast cancer spindle assembly checkpoints by means of lncRNA-mRNA co-expression network
  • Method for predicting abnormity of triple negative breast cancer spindle assembly checkpoints by means of lncRNA-mRNA co-expression network

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Embodiment Construction

[0040] The method of the present invention using the lncRNA-mRNA co-expression network to predict the abnormal spindle assembly checkpoint of triple-negative breast cancer comprises the following steps:

[0041] Step 1: Experiment Grouping

[0042] Human breast cancer MDA-MB-231 cells were treated with pirarubicin (THP) to establish test group (test group) and con group (comparison group).

[0043] test group: MDA-MB-231 group was treated in 5 μM THP, and each group had 3 biological repetitions;

[0044] con group: MDA-MB-231 group, each with 3 biological replicates.

[0045] Step 2: RNA Extraction

[0046] (1) Remove the culture medium from the cells grown in the logarithmic phase in the 6cm dish, wash twice with PBS and discard.

[0047] (2) Add 1-2 mL of Trizol reagent to the plate, blow and beat the cell layer repeatedly with a pipette and collect it into a centrifuge tube.

[0048] (3) Add 200-500 μL of chloroform into the centrifuge tube, shake it up and down fully u...

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Abstract

The invention relates to a method for predicting the abnormity of triple negative breast cancer spindle assembly checkpoints by means of an lncRNA-mRNA co-expression network. The method includes experimental grouping, RNA extraction, lncRNA chip data differential expression analysis, and lncrna target gene analysis and control network construction. The method for predicting the abnormity of triplenegative breast cancer spindle assembly checkpoints by means of the lncRNA-mRNA co-expression network provides a new way for finding a new molecular marker of the triple negative breast cancer and provides the reference basis for predicting the prognosis of the triple negative breast cancer.

Description

technical field [0001] The present invention relates to a lncRNA-mRNA co-expression network, in particular to a method for predicting the abnormality of spindle assembly checkpoints in triple-negative breast cancer by using the lncRNA-mRNA co-expression network. Background technique [0002] Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, accounting for about 20% of all breast cancers. TNBC is a breast cancer with loss of expression of estrogen receptor (Estrogen receptor, ER), progesterone receptor (Progesterone receptor, PR) and human epidermal growth factor receptor 2 (Human epidermal growthfactor receptor 2, Her-2). At present, the clinical systemic treatment for TNBC is still mainly cytotoxic drugs such as anthracyclines doxorubicin (DOX), epirubicin (EPI) and pirarubicin (THP). . At present, it is believed that the reasons for the poor prognosis of TNBC are related to its biological characteristics and the lack of effective monit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 范志民任立群王亚帝张祎冰韦安慧
Owner 范志民
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