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Cervical cancer prognostic marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products

A cervical cancer and microbial technology, applied in the biological field, to avoid excessive medical treatment

Active Publication Date: 2022-03-15
ZHONGNAN HOSPITAL OF WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the microbes in cervical cancer tissue may be related to its prognosis, there is currently no set of microbiota that can predict the prognosis and treatment response of cervical cancer

Method used

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  • Cervical cancer prognostic marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products
  • Cervical cancer prognostic marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products
  • Cervical cancer prognostic marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1, cervical cancer prognostic marker microorganism and its screening method

[0048] 1. The influence of the abundance of related microorganisms in cervical cancer squamous cell carcinoma samples on the prognosis of cervical cancer

[0049] Using the clinical information of 248 patients with cervical cancer squamous cell carcinoma and the abundance of related microorganisms in the TCGA database, the impact of the abundance of these 1406 microorganisms on the prognosis of cervical cancer was further evaluated by using the R language survival and surmier packages; the specific steps include:

[0050] 1. Find the optimal cut-off value of the abundance of the above 1406 microorganisms, and divide them into high-abundance and low-abundance groups according to the optimal cut-off value of their expression, using Cox regression analysis, Kaplan-Meier survival curve and log rank assay to evaluate the impact of high or low abundance of these microorganisms on overall ...

Embodiment 2

[0062] Embodiment 2, cervical cancer prognosis risk prediction system and its establishment method

[0063] 1. Cervical cancer prognosis risk prediction system

[0064] Based on the results of Example 1, we developed a cervical cancer 5-microbial prognostic scoring system. We applied a step-by-step canonical discriminant analysis to identify microbial markers capable of discriminating patient outcomes with 100% accuracy, and finally identified a scoring system consisting of 5 specific cervical cancer prognostic microorganisms that Including: Dermabacter, Sulfurovum, Nostoc, Thermacetogenium and Alphavirus. The information of each microorganism is shown in Table 2.

[0065] The above-mentioned cervical cancer prognostic scoring system uses the prediction score to calculate the survival probability of the patient. The scoring system was defined as a linear combination of microbial abundances based on the coefficients of the Cox hazard function. Calculated as follows:

[006...

Embodiment 3

[0079] Embodiment 3, cervical cancer prognosis risk prediction system

[0080] An embodiment of the present invention provides a cervical cancer prognosis risk prediction system, the system comprising:

[0081] a processor and a memory coupled to the processor, the memory storing instructions that when executed by the processor use the following steps:

[0082] According to the input of the DNA or mRNA abundance of the cervical cancer prognostic marker microorganism into the prediction system described in Example 2, the cervical cancer prognosis risk prediction score is obtained.

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Abstract

The implementation of the present invention discloses a cervical cancer prognosis marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products. The cervical cancer prognosis marker microorganism includes Dermabacter, Sulfurovum, Nostoc, Thermacetogenium and Alphavirus. The present invention has developed described 5 kinds of cervical cancer prognostic marker microorganisms, and set up a prognosis scoring system; Time-dependent ROC curve and multivariate Cox regression analysis show that the 5-microbial prognostic scoring system developed by the present invention has a significant impact on the overall survival rate (OS) The discriminative ability of the system is significantly better than other clinical factors (such as age, stage, and tumor size), and the area under the curve at 5 years is not inferior to its area at 1 or 2 years, indicating that this prognostic scoring system has an independent effect on the prognosis of cervical cancer. And longer-lasting discrimination.

Description

technical field [0001] The embodiments of the present invention relate to the field of biotechnology, in particular to a cervical cancer prognosis marker microorganism and its application in the preparation of cervical cancer prognosis prediction and diagnosis products. Background technique [0002] The morbidity and mortality of cervical cancer rank fourth among female malignant tumors. According to the World Health Organization's 2020 data, there are approximately 604,000 new cases of cervical cancer and 342,000 deaths each year worldwide. Although the average 5-year survival rate for cervical cancer after standard treatment is about 45%, the 5-year survival rate for recurrent or metastatic cervical cancer is only 15%. Therefore, predicting the prognosis and curative effect of patients in advance, and effectively intervening in advance for patients with poor prognosis may improve the 5-year overall survival rate of cervical cancer patients. [0003] In recent years, scien...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886C12Q1/689G16B30/00G16H50/20C12N15/11
CPCC12Q1/6886C12Q1/689G16B30/00G16H50/20C12Q2600/118C12Q2600/158Y02A90/10
Inventor 杨慧邱惠张金方谢丛华周云峰
Owner ZHONGNAN HOSPITAL OF WUHAN UNIV
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