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Group of indexes for diagnosing cervical canceration and application

A technology for cervical cancer and cervix, which is applied in the measurement/testing of microorganisms, instruments, biochemical equipment and methods, etc., can solve the problems of strong subjectivity, time-consuming, easy to miss the opportunity of early detection, etc., to achieve strong subjectivity, long-lasting effect

Pending Publication Date: 2022-06-24
AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technical effect describes how it provides a way to diagnose cervicitis by comparing genetic patterns between healthy samples from patients' blood serums and diseased ones that may have developed into invasiveness during their treatment process. By combining these data together, researchers could predict whether they will develop this disease quickly and accurately without relying solely upon histopathologist interpretation.

Problems solved by technology

The technical problem addressed in this patented study is how to identify cervicular tumor(CNCT) that may be caused due to advanced stages of cervicitis before symptoms start becoming apparent during routine medical procedures such as histopathologic analysis. Current techniques have limitations including slowness, lack sensitivity, invasiveness, difficulty in obtaining accurate results, and potential false positives.

Method used

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  • Group of indexes for diagnosing cervical canceration and application
  • Group of indexes for diagnosing cervical canceration and application
  • Group of indexes for diagnosing cervical canceration and application

Examples

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Embodiment 1

[0027] In the present invention, we take cervical cancer (Cervical squamous cell carcinoma and endocervical adenocarcinoma, CESC) as the implementation object, analyze the difference of mRNA expression in cervical cancer and normal cervical tissue with RNA Sequencing technology; And these differences and the identification of cervical cancer, Take the relationship between classification and prognosis as an example. Based on the differences in gene expression profiles between cervical cancer and normal cervical tissues in The Cancer Genome Atlas (TCGA) database, we screened out target genes with significant differences in mRNA expression, including: LGALS7B, ANXA8, CDKN2A, CALML3, PKP1, SERPINB5, SERPINB4, KIAA0101, DSG3, DSC3, GPR87, CLCA2, PITX1, IRF6, FAM83A, AURKB, CKMT1A, MMP13, ALG1L, RHOV, SDC1, TRIM29, LYPD3, FGFBP1, PVRL4, KRT5, KRT6A, KRT7, KRT16, KRT6B, KRT15, ​​S100A2, S100A14, S100A9, S100A8, SFN, SERPINB3, LAD1, FXYD3, TACSTD2, PI3, CXCL17, MAL2, CSTA, PDZK1IP1, L...

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Abstract

The invention discloses a group of genes for cervical cancer detection and application, and belongs to the field of biological and medical examination. The related genes comprise LGALS7B, ANXA8, CDKN2A, CALML3, PKP1, SERPINB5, SERPINB4, KIAA0101, DSG3, DSC3, GPR87, CLCA2, PITX1, IRF6, FAM83A, AURKB, CKMT1A, MMP13, ALG1L, RHOV, SDC1, TRIM29, LYPD3, FGFBP1, PVRL4, KRT5, KRT6A, KRT7, KRT16, KRT6B, KRT15, S100A2, S100A14, S100A9, S100A8, SFN, SERPINB3, LAD1, FXYD3, TACSTD2 and The invention relates to a molecular biological method for screening and identifying whether the cervix uteri is cancerated or not by detecting the change of the expression quantity of a gene (single gene or any combination) product. When the gene is combined to identify cervical cancer, the sensitivity can reach 95% or above when the specificity is greater than 99%; and a reliable method is provided for detecting cervical cancer by a molecular biological technology.

Description

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Claims

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Application Information

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Owner AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
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