System and method for detecting clinical results of patients with hepatocellular carcinoma by HBV (Hepatitis B Virus)
A hepatocellular carcinoma, clinical outcome technology, applied in the medical field, to achieve the effect of reducing the detection of redundant or unrelated gene sequences
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Embodiment 1
[0029]In the prior art, the cancer treatment of cancer patients is not only surgery and radiotherapy and chemotherapy, but also many targeted drugs and immunotherapy drugs can be used. When cancer patients take targeted drugs and immunotherapy drugs, different patients have different gene mutation sites. Therefore, compared with indiscriminate attacks on cells and tissues in patients with radiotherapy and chemotherapy, personalized and precise treatment can make the disease more curable. Less physical damage achieves better healing results. The disease phenotype of liver cancer caused by the influence of HBV is affected by multiple cross-connected network pathways in the patient, and multiple genes are distributed on a single network pathway. For the molecular level detection of liver cancer, the amount of direct gene sequencing is very large. Based on this, the present invention uses aggregation detection of abnormal expression at the mRNA level, and obtains the most relevan...
Embodiment 2
[0059] This embodiment is a further improvement on Embodiment 1, and repeated content will not be repeated here.
[0060] A HBV detection system for the clinical results of patients with hepatocellular carcinoma, including a sample detection module, a data processing module and a data presentation module, such as image 3 shown.
[0061] The sample detection module can obtain the transcriptome sequencing result of the tissue sample by detecting the tissue sample at the transcriptome level. Preferably, the sample detection module is capable of detecting sequences and expression levels at DNA, RNA and protein levels.
[0062] The data processing module includes a processor and memory components, which are used to receive and process received data, and the data processing steps include:
[0063] (1) First-level screening: Qualitatively / quantitatively evaluate or / and compare transcriptome sequencing based on the functional annotation nodes on the physiological and metabolic path...
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