Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Saliva genetic detection kit for early diagnosis of laryngeal squamous cell carcinoma

A technique for early diagnosis of squamous cell carcinoma, applied in the determination/examination of microorganisms, DNA/RNA fragments, recombinant DNA technology, etc.

Inactive Publication Date: 2018-11-06
葛孝锦
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Currently there is no effective gene detection kit for early diagnosis of laryngeal squamous cell carcinoma

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Saliva genetic detection kit for early diagnosis of laryngeal squamous cell carcinoma
  • Saliva genetic detection kit for early diagnosis of laryngeal squamous cell carcinoma
  • Saliva genetic detection kit for early diagnosis of laryngeal squamous cell carcinoma

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Example 1: Preliminary verification of the diagnostic efficacy of miRNA markers for LSCC

[0026] 1. Subjects

[0027] This study included 75 newly diagnosed LSCC patients diagnosed by WHO histopathology in Jiangsu Provincial People's Hospital from June 2015 to June 2017. LSCC patients with other tumors or acute infections were excluded. Among the patients, there were 45 males and 30 females. At the same time, 75 age- and gender-matched healthy people who underwent physical examination at the Health Examination Center of Jiangsu Provincial People's Hospital were included as controls, including 45 males and 30 females, and there was no statistical difference in age from LSCC patients.

[0028] 2. Experimental method

[0029] 1. Saliva collection

[0030] Before saliva collection, all patients and healthy people were required to fast for at least 2 hours. Use a 50ml sterile enzyme-free centrifuge tube to collect 5ml of naturally flowing saliva, and collect it within ...

Embodiment 2

[0056] Example 2: Further multi-center validation of miRNA markers for LSCC diagnostic efficacy

[0057] 1. Subjects

[0058] This study included 48 newly diagnosed LSCC patients diagnosed by WHO histopathology in the Affiliated Hospital of Southwest Medical University from June 2015 to June 2017. LSCC patients with other tumors or acute infections were excluded. Among the patients, there were 30 males and 18 females. At the same time, 48 age- and gender-matched healthy people who underwent physical examination at the Health Examination Center of the Affiliated Hospital of Southwest Medical University were included as controls, including 30 males and 18 females, with no statistical difference in age and LSCC patients.

[0059] 2. Experimental methods and results

[0060] 1. Saliva collection

[0061] Before saliva collection, all patients and healthy people were required to fast for at least 2 hours. Use a 50ml sterile enzyme-free centrifuge tube to collect 5ml of natural...

Embodiment 3

[0076] Embodiment 3: LSCC diagnostic kit

[0077] The LSCC diagnostic kit can contain the detection of hsa-miR-544a, hsa-miR-4726 and hsa-miR-154-3p, or the detection of hsa-miR-544a, hsa-miR-4726 and hsa-miR-655-5p, Or the primers for detecting hsa-miR-544a, hsa-miR-4726 and hsa-miR-552-3p, and also contain internal references and enzymes and reagents required for RT-PCR.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a saliva genetic detection kit for early diagnosis of laryngeal squamous cell carcinoma. The accuracy of combined diagnosis of LSCC with has-miR-544a, has-miR-4726 and has-miR-154-3p in saliva is 96.88% (93 / 96); the accuracy of combined diagnosis of the LSCC with has-miR-544a, hsa-miR-4726 and has-miR-655-5p in the saliva is 92.71% (89 / 96); the accuracy of combined diagnosis of the LSCC with has-miR-544a, has-miR-4726 and has-miR-552-3p in saliva is 95.83% (92 / 96), and the diagnosis accuracy is high.

Description

technical field [0001] The invention belongs to the field of gene detection and relates to a saliva gene detection kit for early diagnosis of laryngeal squamous cell carcinoma. Background technique [0002] Head and neck cancer is the sixth most common tumor type in the world, among which laryngeal cancer is one of the most common malignant tumors of the head and neck, and laryngeal squamous cell carcinoma (LSCC) is the most common histological type in laryngeal cancer (approx. 85% to 90%). With the development of medicine, there are more and more treatment methods for laryngeal cancer, but the mortality rate of laryngeal cancer has not improved significantly. The main reason is that there is currently a lack of simple and applicable screening methods. [0003] MicroRNA (microRNA, miRNA) refers to the endogenous small non-coding RNA with a length of about 22 nucleotides, which is an effective regulator of various biological processes. Studies on miRNAs have shown that miRN...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/158C12Q2600/166C12Q2600/178
Inventor 葛孝锦邱长友罗彬瑞
Owner 葛孝锦
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products