Back

Comprehensive Multi-Omic Analysis Reveals Distinct Molecular Features in Early and Advanced Stages of Hepatocellular Carcinoma

Fan, M.; Hu, J.; Xu, X.; Chen, J.; Zhang, W.; Zheng, X.; Pan, J.; Xu, W.; Feng, S.

2023-12-19 cancer biology
10.1101/2023.12.17.570960 bioRxiv
Show abstract

Hepatocellular Carcinoma (HCC) is a serious primary solid tumor that is prevalent worldwide. Due to its high mortality rate, it is crucial to explore both early diagnosis and advanced treatment for HCC. In recent years, multi-omic approaches have emerged as promising tools to identify biomarkers and investigate molecular mechanisms of biological processes and diseases. In this study, we performed proteomics, phosphoproteomics, metabolomics, and lipidomics to reveal the molecular features of early- and advanced-stage HCC. The data obtained from these omics were analyzed separately and then integrated to provide a comprehensive understanding of the disease. The multi-omic results unveiled intricate biological pathways and interaction networks underlying the initiation and progression of HCC. Moreover, we proposed specific potential biomarker panels for both early- and advanced-stage HCC by overlapping our data with CPTAC database, and deduced novel insights and mechanisms related to HCC origination and development.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 19%
9.0%
Similar papers in this journal
2
Genomics, Proteomics & Bioinformatics
188 papers in training set
Top 0.3%
6.3%
3
PROTEOMICS
○ 43 papers in training set
Top 0.1%
5.5%
Similar papers in this journal
4
Frontiers in Oncology
○ 103 papers in training set
Top 0.6%
5.2%
Similar papers in this journal
5
International Journal of Molecular Sciences
○ 494 papers in training set
Top 2%
4.9%
Similar papers in this journal
6
Scientific Reports
○ 3612 papers in training set
Top 24%
4.1%
7
Journal of Translational Medicine
○ 57 papers in training set
Top 0.2%
3.6%
8
Journal of Proteome Research
● 234 papers in training set
Top 0.8%
3.6%
9
Journal of Proteomics
○ 28 papers in training set
Top 0.1%
3.6%
10
eLife
● 5828 papers in training set
Top 34%
3.3%
11
PLOS Computational Biology
● 1863 papers in training set
Top 11%
2.7%
50% of probability mass above
12
Metabolites
○ 53 papers in training set
Top 0.4%
2.1%
13
Molecular & Cellular Proteomics
183 papers in training set
Top 0.9%
2.1%
14
Molecules
○ 39 papers in training set
Top 0.6%
1.7%
15
Heliyon
○ 152 papers in training set
Top 3%
1.7%
16
Biochemistry and Biophysics Reports
○ 30 papers in training set
Top 0.4%
1.7%
17
Theranostics
● 37 papers in training set
Top 0.5%
1.5%
18
Translational Oncology
○ 21 papers in training set
Top 0.4%
1.5%
19
Neoplasia
○ 23 papers in training set
Top 0.4%
1.5%
20
Cells
○ 249 papers in training set
Top 4%
1.3%
21
Cell Death & Disease
147 papers in training set
Top 3%
1.0%
22
Metabolomics
○ 14 papers in training set
Top 0.2%
1.0%
23
Biomedicines
○ 67 papers in training set
Top 2%
1.0%
24
Cancers
○ 213 papers in training set
Top 5%
0.9%
25
Frontiers in Cell and Developmental Biology
○ 233 papers in training set
Top 5%
0.9%
26
Biomedical Signal Processing and Control
○ 22 papers in training set
Top 0.6%
0.9%
27
Frontiers in Genetics
○ 230 papers in training set
Top 5%
0.9%
28
Briefings in Bioinformatics
◐ 354 papers in training set
Top 7%
0.9%
29
Frontiers in Endocrinology
○ 58 papers in training set
Top 1%
0.9%
30
Frontiers in Molecular Biosciences
○ 102 papers in training set
Top 3%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.