Back
Top 0.9%
22.8%
Top 1%
15.0%
Top 26%
8.0%
Top 1%
6.1%
Top 7%
5.1%
Top 81%
5.1%
Top 3%
5.1%
Top 1%
3.1%
Top 3%
2.0%
Top 5%
2.0%
Top 0.3%
2.0%
Top 4%
1.6%
Top 4%
1.0%
Top 23%
1.0%
Top 1%
1.0%
Top 1%
1.0%
Top 12%
1.0%
Top 5%
1.0%
Top 17%
1.0%
Top 7%
0.7%
Top 7%
0.7%
Top 7%
0.7%
Top 10%
0.7%
Top 7%
0.7%
A spatial multi-omic portrait of survival outcome for clear cell renal cell carcinoma
2026-03-04
oncology
Title + abstract only
View on medRxiv
Show abstract
Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how the tumor microenvironment shapes patient survival is not completely understood. Here, we describe the characterization of ccRCC tumor ecosystems from 498 patients using imaging mass cytometry with a focus on tumor, myeloid, and T cell landscapes. Data from more than 3 million single cells is analyzed using machine-learning to identify key ecosystem features that outperform basic clinical data fo...
Predicted journal destinations
1
Nature Communications
483 training papers
2
Cancers
57 training papers
3
Scientific Reports
701 training papers
4
Clinical Cancer Research
22 training papers
5
eLife
262 training papers
6
PLOS ONE
1737 training papers
7
Frontiers in Oncology
34 training papers
8
iScience
74 training papers
9
Cancer Medicine
17 training papers
10
Proceedings of the National Academy of Sciences
100 training papers
11
Communications Biology
36 training papers
12
British Journal of Cancer
22 training papers
13
Journal of Clinical Investigation
50 training papers
14
JAMA Network Open
125 training papers
15
Cell Reports
25 training papers
16
Journal of the American Society of Nephrology
19 training papers
17
PLOS Computational Biology
141 training papers
18
BMC Cancer
21 training papers
19
npj Digital Medicine
85 training papers
20
Cell Reports Medicine
49 training papers
21
Communications Medicine
63 training papers
22
PLOS Genetics
39 training papers
23
Nature
58 training papers
24
International Journal of Molecular Sciences
39 training papers