Cancer detection kit based on large-scale data mining and detection method

Abstract

The invention discloses a cancer detection kit based on large-scale mining and a detection method, and belongs to the technical field of biomedical detection. The kit comprises a DNA extraction reagent, a high-throughput sequencing library preparation reagent, gene sequence alignment software and chromosome cover degree calculation software. The method comprises the steps that firstly, peripheral blood is collected from a subject and plasma is separated out; DNA polymerase is used for amplification and a sequencing library is prepared; large-scale sequencing is performed on the prepared library; sequence alignment is performed on a sequencing result, statistic is performed on the distribution situation on a genome, and whether a cancer cell genomic sequence from tumor tissue exists or not is judged, so that whether a detection object carries a cancer or not is judged. According to the cancer detection kit and the detection method, the defect that existing cancer screening specificity and sensitivity are poor is overcome, the method causes no irradiation or wounds, and cancer detection can be achieved only through 4-10 mL of peripheral blood.

Description

technical field [0001] The invention relates to a cancer detection kit and detection method based on large-scale data mining, in particular to a high-throughput sequencing data mining and non-invasive cancer detection kit and detection method, belonging to biomedical detection technology. technical background [0002] Malignant tumors are often associated with changes in the number and structure of chromosomes, because there are generally two types of chromosomes in cells, some chromosomes carry genes that express malignant tumors, and other chromosomes carry genes that inhibit malignant tumors. If the chromosome is mutated, it will lead to an imbalance of genes on the chromosome, and a tumor will appear. [0003] Current cancer detection relies heavily on blood biomarkers and imaging techniques. Biochemical markers include CEA, AFP, PSA, etc. The main defects of these markers are: (1) the types of cancer covered are limited, and most cancers cannot be effectively detected;...

AI Technical Summary

Problems solved by technology

Biochemical markers include CEA, AFP, PSA, etc. The main defects of these markers are: (1) the types of cancer covered are limited, and most cancers cannot be effectively detected; (2) the specificity is poor, and some basic diseases, such as hepatitis, will Causes AFP to rise and cause misjudgment, prostatitis can also cause PSA to rise and cause misjudgment, etc.; (3) The half-life in the blood is too long, such as AFP protein can survive in the blood for 7 to 28 days or longer, it is difficult to For specific real-time tracking of surgical treatment, radiotherapy, drug treatment effect

Imaging techniques include B-ultrasound, CT and PET, as long as the disadvantages are: (1) Most tests contain certain radiation hazards and cannot be used too frequently, so they cannot be used for real-time detection of cancer; (2) Operation It is more complicated, and it is difficult to achieve large-scale population tumor screening

Target site capture-based technologies generally suffer from low sequencing coverage, resulting in insufficient sensitivity

Methylation-based detection technology has the problem of low specificity (deficiency) due to the low content of ctDNA in early cancer, which directly affects and restricts the application of liquid biopsy in clinical, market, scientific research and other levels

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