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Cervical cancer prognosis marker microorganism and application thereof in preparation of cervical cancer prognosis prediction and diagnosis product

A cervical cancer and microbial technology, applied in the biological field, to achieve the effect of avoiding excessive medical treatment

Active Publication Date: 2021-09-28
ZHONGNAN HOSPITAL OF WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technology described by this patented innovation allows researchers to study how different types of bacteria are involved in causing diseases like cervicitis. They found out that certain strains were able to help fight against these conditions better than others. By comparing their effectiveness on patients who had them treated differently compared to healthy individuals they could make informed decisions about which treatments would work best next week based upon what type of disease it was affecting.

Problems solved by technology

This patented technical problem addressed in this patents relates to developing an effective method for identifying potential biomarkers associated with cervix cancer from histological material collected during routine medical procedures such as endodontic surgery (ESS).

Method used

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  • Cervical cancer prognosis marker microorganism and application thereof in preparation of cervical cancer prognosis prediction and diagnosis product
  • Cervical cancer prognosis marker microorganism and application thereof in preparation of cervical cancer prognosis prediction and diagnosis product
  • Cervical cancer prognosis marker microorganism and application thereof in preparation of cervical cancer prognosis prediction and diagnosis product

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Experimental program
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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 embodiment of the invention discloses a cervical cancer prognostic marker microorganism and application thereof in preparation of a cervical cancer prognostic prediction and diagnosis product. The cervical cancer prognostic marker microorganism comprises Dermabacter, Sulfurovum, Nostoc, Thermacetogenium and Alphavirus. The invention develops five cervical cancer prognostic marker microorganisms, and establishes a prognostic scoring system; a time-dependent ROC curve and multivariable Cox regression analysis show that the distinguishing ability of a 5-microorganism prognostic scoring system developed by the invention on the overall survival (OS) is obviously superior to that of other clinical factors (such as age, staging and tumor size), and the area under the curve of 5 years is not inferior to the area under the curve of 1 or 2 years, which indicates that the prognosis scoring system has independent and durable discrimination capability on cervical cancer prognosis.

Description

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Claims

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Application Information

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Owner ZHONGNAN HOSPITAL OF WUHAN UNIV
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