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Non-invasive markers of diagnosis and recurrence in patients with hepatocellular carcinoma
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 정, 재연 | - |
| dc.contributor.author | 손, 주아 | - |
| dc.date.accessioned | 2023-11-16T05:43:54Z | - |
| dc.date.available | 2023-11-16T05:43:54Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/26832 | - |
| dc.language.iso | en | - |
| dc.title | Non-invasive markers of diagnosis and recurrence in patients with hepatocellular carcinoma | - |
| dc.type | Thesis | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000032422 | - |
| dc.subject.keyword | hepatocellular carcinoma | - |
| dc.subject.keyword | biomarkers | - |
| dc.subject.keyword | recurrence | - |
| dc.subject.keyword | liquid biopsy | - |
| dc.subject.keyword | 간세포 암종 | - |
| dc.subject.keyword | 바이오마커 | - |
| dc.subject.keyword | 재발 | - |
| dc.subject.keyword | 액체 생검 | - |
| dc.description.degree | Master | - |
| dc.contributor.department | 대학원 의생명과학과 | - |
| dc.contributor.affiliatedAuthor | 손, 주아 | - |
| dc.date.awarded | 2023 | - |
| dc.type.local | Theses | - |
| dc.citation.date | 2023 | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.description.tableOfContents | Ⅰ. INTRODUCTION 1
Ⅱ. MATERIALS AND METHODS 3 1. The integrative analysis strategy of microarray and RNA-seq datasets 3 2. Data analysis 3 3. Clinical characteristics of patients 4 4. Analysis of Differentially expressed genes (DEGs) 5 5. Gene set enrichment analysis 6 6. RNA extraction and quantitative reverse transcription polymerase chain reaction 7 7. Statistical analysis 7 Ⅲ. RESULTS 9 1. Gene selection for HCC recurrence using systemic analysis of tissue-based microarray and RNA-seq dataset 9 2. Identification of predictive molecular signature for HCC recurrence using the public database 11 3. Confirmation of five recurrence related genes in validation set 15 4. Prognostic implication of the candidate biomarker genes 19 Ⅳ. DISCUSSION 23 Ⅴ. REFERENCES 27 Ⅰ. INTRODUCTION 33 Ⅱ. MATERIALS AND METHODS 35 1. Expression and prognosis profiling of SF3B4 in various cancer types 35 2. Patient enrollment and clinical term definitions 35 3. Prediction of SF3B4 derived in EV 39 4. Cell culture 39 5. Blood Specimen preparation 40 6. Characterization of serum small EVs 40 7. Isolation of RNA 41 8. 22K human protein microarray 42 9. Enzyme-Linked Immunosorbent Assay (ELISA) 43 10. Autoantibody 43 11. Immunohistochemistry (IHC) 43 12. Immunofluorescence 43 13. Quantitative reverse transcription PCR (RT-qPCR) 44 14. Single cell RNA-sequencing 45 15. Immune infiltration analysis 46 16. Statistical analysis 46 Ⅲ. RESULTS 48 1. SF3B4 is overexpressed in HCC and related to the clinical outcome of HCC 48 2. Expression of SF3B4 and anti-SF3B4 autoantibody as liquid biopsy biomarkers for HCC and their diagnostic performance in each cohort 53 3. Serum derived EV-SF3B4 expression and its diagnostic power in HCC 56 4. Diagnostic efficiency of the combination of the serum EV-SF3B4 and serum AFP and the positive rate of serum EV-SF3B4 in all-stage and early-stage HCC 60 5. Confirmation of correlation between SF3B4 and immunity in HCC microenvironment 63 Ⅳ. DISCUSSION 74 Ⅴ. REFERENCES 77 | - |
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