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A method for predicting spindle assembly checkpoint abnormalities in triple-negative breast cancer using lncRNA-mRNA co-expression network

A technology for triple-negative breast cancer and network prediction, which is applied in the fields of medical data mining, medical informatics, health index calculation, etc. question

Active Publication Date: 2021-06-29
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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  • A method for predicting spindle assembly checkpoint abnormalities in triple-negative breast cancer using lncRNA-mRNA co-expression network
  • A method for predicting spindle assembly checkpoint abnormalities in triple-negative breast cancer using lncRNA-mRNA co-expression network
  • A method for predicting spindle assembly checkpoint abnormalities in triple-negative breast cancer using lncRNA-mRNA co-expression network

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Experimental program
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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 present invention relates to a method for predicting the abnormality of triple-negative breast cancer spindle assembly checkpoints by using lncRNA-mRNA co-expression network, comprising the following steps: experimental grouping, RNA extraction, differential expression analysis of lncRNA chip data, and lncRNA target gene analysis and Control network construction. The method of the present invention using lncRNA-mRNA co-expression network to predict spindle assembly checkpoint abnormality in triple-negative breast cancer provides a new molecular marker for triple-negative breast cancer by predicting spindle assembly checkpoint abnormality through lnRNA-mRNA co-expression network A new approach has been established, which provides a reference for predicting the prognosis of 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...

Claims

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Application Information

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Patent Type & Authority Patents(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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