Back

Consensus molecular subtypes define distinct evolutionary trajectories of biliary tract cancers

Beaudry, F. E. G.; Yendi, D.; Arshinoff, D.; Light, N.; Perrotti, S.; Winter, E.; Cristant, L. R.; Xu, A.; Wilson, J.; Dodd, A.; Bucur, R.; Chen, E. X.; Elimova, E.; Wong, R.; Mesci, A.; Hosni, A.; Ghanekar, A.; Jang, R.; Shwaartz, C. G.; Reichman, T.; Moulton, C.-A.; Sanz Garcia, E.; O'Kane, G. M.; Tsang, E. S.; Wang, X.; McGilvray, I.; Gallinger, S.; Pugh, T. J.; Sapisochin, G.; Vogel, A.; Knox, J. J.; Notta, F.; Grant, R. C.

2025-12-12 cancer biology
10.64898/2025.12.12.693962 bioRxiv
Show abstract

Biliary tract cancer (BTC) comprises a family of rare malignancies subclassified by anatomy and pathology. However, this scheme may obscure shared biology and limit patient stratification. We therefore performed whole-genome and transcriptome sequencing of 169 tumors enriched for tumor cells by laser capture microdissection to identify shared programs in BTC. Network integration across transcriptomic classes identified two consensus cancer subtypes (CCS). CCS segregates with anatomical location of primary tumor and expressed gene marker analyses suggest subtypes reflect tumor cell of origin differences. CCS display strikingly divergent molecular landscapes, explaining more variance than anatomical location of primary tumor. CCS-B tumors are mutationally loaded with clock-like and APOBEC signatures and extrachromosomal DNA, whereas CCS-A tumors are characterised by chromosome-arm deletions and higher levels of subclonality. We show harnessing the genomic and transcriptomic diversity of BTC uncovers novel biology and improves stratification. SignificanceWe provide evidence that biliary tract consensus cancer subtypes define fundamentally different cancers, with diverging modes of evolution stemming from distinct cells of origin

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Cancer Discovery
61 papers in training set
Top 0.1%
22.4%
2
Nature
575 papers in training set
Top 2%
17.4%
3
Science
429 papers in training set
Top 4%
6.8%
4
Nature Communications
4913 papers in training set
Top 29%
6.3%
50% of probability mass above
5
Cell
370 papers in training set
Top 5%
3.9%
6
Nature Genetics
240 papers in training set
Top 2%
3.6%
7
Developmental Cell
168 papers in training set
Top 6%
3.0%
8
Nature Cell Biology
99 papers in training set
Top 2%
2.7%
9
Journal of Experimental Medicine
106 papers in training set
Top 2%
2.1%
10
Nature Cancer
35 papers in training set
Top 0.6%
1.9%
11
Gut
36 papers in training set
Top 0.4%
1.8%
12
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 32%
1.7%
13
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.7%
14
Cancer Research
116 papers in training set
Top 2%
1.7%
15
Cell Reports
1338 papers in training set
Top 27%
1.3%
16
Cell Genomics
162 papers in training set
Top 4%
1.3%
17
Immunity
58 papers in training set
Top 3%
1.2%
18
eLife
5422 papers in training set
Top 49%
1.2%
19
Genes & Development
90 papers in training set
Top 0.8%
1.1%
20
Genome Biology
555 papers in training set
Top 6%
0.9%
21
Blood
67 papers in training set
Top 1%
0.9%
22
Cancer Cell
38 papers in training set
Top 1%
0.9%
23
Cell Reports Medicine
140 papers in training set
Top 6%
0.9%
24
Molecular Cell
308 papers in training set
Top 9%
0.9%
25
Science Translational Medicine
111 papers in training set
Top 5%
0.8%
26
Gastroenterology
40 papers in training set
Top 2%
0.8%
27
Nature Medicine
117 papers in training set
Top 5%
0.7%
28
Science Advances
1098 papers in training set
Top 31%
0.7%
29
Genome Medicine
154 papers in training set
Top 9%
0.7%
30
Cell Stem Cell
57 papers in training set
Top 2%
0.7%