Back

Systematic analysis of tumor-infiltrating immune cells in human endometrial cancer: a retrospective study

Zhou, X.; Ling, Z.; yang, b.

2019-08-29 obstetrics and gynecology
10.1101/19003707 medRxiv
Show abstract

ObjectiveThe prognostic effect of tumor-infiltrating immune cells (TIICs) on endometrial cancer (EMC) has not been extensively investigated. In the present study, we systematically analyzed the role of TIICs in EMC development. MethodsPatient data were downloaded from The Cancer Genome Atlas (TCGA). We comprehensively analyzed TIIC population in EMC tissue and their role in EMC progression and prognosis by using a deconvolution algorithm (CIBERSORT) and clinically annotated expression profiles. ResultsThe proportions of gamma delta T cells, resting NK cells, M1 macrophages, and resting mast cells were significantly different in normal endometrium and EMC tissue. The proportion of CD8+ T cells, resting memory CD4 T cells, and M0 macrophages was reversed middle correlated. The proportion of resting dendritic cells, resting memory CD4 T cells, and T regulatory cells (Tregs) decreased in accordance with the cancer cell differentiation grade (G); the lower proportion of activated dendritic cells and gamma delta T cells and higher proportion of Tregs predicted longer EMC survival time and vice versa. The low proportion of gamma delta T cells indicated better response to therapy. ConclusionCollectively, our data suggested subtle differences in the cellular composition of TIICs in EMC, and these differences were likely to be important determinants of both prognosis and therapy of EMC.

Matching journals

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

1
PLOS ONE
5266 papers in training set
Top 10%
18.6%
2
Scientific Reports
3612 papers in training set
Top 7%
7.9%
3
Computational and Structural Biotechnology Journal
242 papers in training set
Top 0.3%
6.8%
4
Journal of Advanced Research
14 papers in training set
Top 0.1%
6.8%
5
Cell Communication and Signaling
51 papers in training set
Top 0.1%
5.2%
6
PeerJ
308 papers in training set
Top 2%
4.1%
7
Bioengineering
29 papers in training set
Top 0.1%
3.3%
50% of probability mass above
8
BMC Medicine
176 papers in training set
Top 1%
3.3%
9
Frontiers in Medicine
120 papers in training set
Top 1.0%
3.2%
10
Journal of Clinical Medicine
97 papers in training set
Top 1%
3.2%
11
eLife
5828 papers in training set
Top 39%
2.7%
12
International Journal of Molecular Sciences
494 papers in training set
Top 5%
2.4%
13
Cancers
213 papers in training set
Top 2%
2.4%
14
The Journal of Pathology
26 papers in training set
Top 0.3%
2.1%
15
Journal of Medical Virology
140 papers in training set
Top 1%
1.7%
16
BMC Cancer
67 papers in training set
Top 1%
1.7%
17
Journal of Clinical Pathology
15 papers in training set
Top 0.3%
1.3%
18
Cell Death & Disease
21 papers in training set
Top 0.3%
1.1%
19
Genomics
64 papers in training set
Top 1%
1.1%
20
Heliyon
152 papers in training set
Top 5%
1.1%
21
Cells
249 papers in training set
Top 5%
1.1%
22
Cancer Medicine
26 papers in training set
Top 0.8%
1.1%
23
Frontiers in Genetics
230 papers in training set
Top 4%
1.1%
24
iScience
1154 papers in training set
Top 25%
1.1%
25
Communications Biology
993 papers in training set
Top 25%
1.0%
26
Clinical Cancer Research
64 papers in training set
Top 2%
1.0%
27
Modern Pathology
22 papers in training set
Top 0.3%
1.0%
28
Diagnostics
50 papers in training set
Top 3%
0.6%