Clinical Transformation Application and Technology Research in Liquid Biopsy for Precise Diagnosis and Prognosis of Lymphoma

Brief Summary

Detailed Description

1. Patients with series and matched lymphoma who were refractory to initial diagnosis, remission and recurrence were enrolled, our research group will collected patient information comprehensively and signed the informed consent. 2. The standard diagnosis process and treatment selection will be completed, and our research group willcollect relevant clinical and laboratory data. 3. 5 ml of peripheral blood from each patient was collected with EDTA anticoagulant tube, and the blood cells were centrifuged at 820×g for 10 min at 4℃ within 1 h to separate the blood cells.The plasma was then transferred to a microcentrifuge tube and centrifuged at 4℃ at 20,000×g for 10 min to remove cell debris.According to the reagent instructions, cfDNA was extracted from 2 ml cell-free plasma and the concentration of cfDNA in each patient was determined.Meanwhile, genomic DNA kit was used to extract matching tumor DNA from lymphoma bone marrow tissue. 4. We will extract the lymphoma of bone marrow tissue samples of RNA, and reverse transcription for cDNA, the use of qRT PCR verifying the mutations in tissue samples, after identifying the lymphoma five of the most common mutations from the cancer genome map (TCGA;http://cancergenome.nih.gov/) . 5. The differences of mutations detected by liquid biopsy and tumor in situ biopsy will be compared, by NGS sequencing of peripheral blood cfDNA and lymphoma tissue DNA. Meanwhile, the mutation rate of each gene mutation was analyzed for lymphoma tissue type. 6. The classification and malignant changes of matched lymphomas were statistically analyzed to study the differences in cfDNA concentration of different types of lymphomas, according to the cfDNA concentration determined at the earlier stage. 7. The mutation differences of cfDNA in the peripheral blood of each patient will be compared at three time points before, during and after treatment, combined with PET/CT detection, and the correlation between cfDNA detection indexes and therapeutic effect and prognosis monitoring will be evaluated. 8. SPSS 23.0 statistical software would be used to evaluate the correlation between cfDNA concentration in lymphoma and disease staging, grouping, subtype, efficacy prediction and recurrence monitoring. P\<0.05 was considered statistically significant.

Primary Outcomes