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Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan
- Source :
- Clinical Proteomics
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Background and aims Liver transplantation (LT) can be offered to patients with Hepatocellular carcinoma (HCC) beyond Milan criteria. However, there are currently limited molecular markers on HCC explant histology to predict recurrence, which arises in up to 20% of LT recipients. The goal of our study was to derive a combined proteomic/transcriptomic signature on HCC explant predictive of recurrence post-transplant using unbiased, high-throughput approaches. Methods Patients who received a LT for HCC beyond Milan criteria in the context of hepatitis B cirrhosis were identified. Tumor explants from patients with post-transplant HCC recurrence (N = 7) versus those without recurrence (N = 4) were analyzed by mass spectrometry and gene expression array. Univariate analysis was used to generate a combined proteomic/transcriptomic signature linked to recurrence. Significantly predictive genes and proteins were verified and internally validated by immunoblotting and immunohistochemistry. Results Seventy-nine proteins and 636 genes were significantly differentially expressed in HCC tumors with subsequent recurrence (p Conclusions Significantly increased LGALS3 and LGALS3BP gene and protein expression on explant were associated with post-transplant recurrence, whereas increased ALDH1A1 was associated with absence of recurrence in patients transplanted for HCC beyond Milan criteria. This combined proteomic/transcriptomic signature could help in predicting HCC recurrence risk and guide post-transplant surveillance.
- Subjects :
- Combined signature
Oncology
medicine.medical_specialty
Proteome
Hepatocellular carcinoma
medicine.medical_treatment
Clinical Biochemistry
Context (language use)
Milan criteria
Liver transplantation
03 medical and health sciences
0302 clinical medicine
Predictors of recurrence
Internal medicine
medicine
Molecular Biology
Survival analysis
030304 developmental biology
0303 health sciences
Univariate analysis
Tumor explant
biology
business.industry
Research
General Medicine
medicine.disease
3. Good health
ALDH1A1
030220 oncology & carcinogenesis
biology.protein
Molecular Medicine
Immunohistochemistry
Transcriptome
business
Subjects
Details
- ISSN :
- 15590275 and 15426416
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Clinical Proteomics
- Accession number :
- edsair.doi.dedup.....b1a3ccaa8dc5336a0ea7b70a50a77299
- Full Text :
- https://doi.org/10.1186/s12014-021-09333-x