Back

Gene Expression Analysis of Patients with Prostate Cancer vs Benign Prostate Hyperplasia

Saeedi, M.

2022-12-22 genetic and genomic medicine
10.1101/2022.12.21.22283808 medRxiv
Show abstract

Prostate cancer is associated with nearly 4% of all cancer-related deaths in men. To better understand the types of genes that are highly expressed in patients with prostate cancer and benign prostate hyperplasia, this study analyzes the raw gene expressions of 36 patients. And compares expressions of prostate epithelial stem cells vs. prostate epithelial transit amplifying cells. 1347 differentially expressed genes were found in prostate epithelial stem cells, and 71 differentially expressed genes were found in prostate epithelial transit amplifying cells. Genes USP10 and SOCS3 were found to be differentially expressed and are found to be associated with prostate cancer.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 12%
15.4%
Similar papers in this journal
2
Heliyon
○ 152 papers in training set
Top 0.1%
10.0%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 9%
6.9%
Similar papers in this journal
4
Gene
○ 46 papers in training set
Top 0.1%
6.4%
Similar papers in this journal
5
Cureus
○ 68 papers in training set
Top 0.6%
5.6%
Similar papers in this journal
6
Informatics in Medicine Unlocked
○ 22 papers in training set
Top 0.2%
5.3%
7
Frontiers in Oncology
○ 103 papers in training set
Top 0.8%
4.1%
50% of probability mass above
8
Genes
○ 144 papers in training set
Top 0.5%
4.1%
9
Genomics
○ 64 papers in training set
Top 0.3%
3.3%
10
BMC Genomics
○ 406 papers in training set
Top 3%
2.5%
11
Molecular Biology Reports
○ 21 papers in training set
Top 0.2%
2.4%
12
BMC Cancer
○ 67 papers in training set
Top 0.8%
2.4%
13
Cancers
○ 213 papers in training set
Top 2%
2.4%
14
International Journal of Molecular Sciences
○ 494 papers in training set
Top 9%
1.5%
15
Journal of Clinical Medicine
○ 97 papers in training set
Top 3%
1.4%
16
F1000Research
○ 88 papers in training set
Top 2%
1.2%
17
Frontiers in Bioinformatics
○ 49 papers in training set
Top 0.8%
1.2%
18
Journal of Bioinformatics and Systems Biology
○ 15 papers in training set
Top 0.1%
1.2%
19
Frontiers in Genetics
○ 230 papers in training set
Top 4%
1.2%
20
Gene Reports
○ 14 papers in training set
Top 0.4%
1.2%
21
PLOS Computational Biology
● 1863 papers in training set
Top 17%
1.1%
22
Biology of Sex Differences
○ 32 papers in training set
Top 0.5%
0.9%
23
Biology Methods and Protocols
◐ 61 papers in training set
Top 2%
0.9%
24
PeerJ
◐ 308 papers in training set
Top 10%
0.9%
25
Frontiers in Molecular Biosciences
○ 102 papers in training set
Top 2%
0.9%
26
Biomedicines
○ 67 papers in training set
Top 3%
0.9%
27
Epidemiology and Infection
◐ 89 papers in training set
Top 2%
0.9%
28
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 6%
0.9%
29
Computers in Biology and Medicine
○ 128 papers in training set
Top 5%
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.