Back

Conserved principles of central carbon partitioning in Hippo-Yorkie-driven Drosophila gut tumors

Park, Y.; Qadiri, M.; Asara, J. M.; Hu, Y.; Perrimon, N.

2026-05-08 cancer biology
10.64898/2026.05.05.722979 bioRxiv
Show abstract

Central carbon metabolism undergoes extensive remodeling in cancers, yet the extent to which the resulting network architectures and operating principles are conserved across species and oncogenic contexts in vivo remains unclear. Here, central carbon metabolism was evaluated in Hippo/Yki-driven Drosophila gut tumors, as Hippo-YAP/TAZ signaling links nutritional cues to metabolic state and contributes to epithelial tumorigenesis and therapy resistance. Using integrated steady-state metabolomics, transcriptomics and [U-13C6]glucose tracing, we defined how Hippo pathway activation reorganizes nutrient utilization and carbon flux in vivo and assessed how the resulting Yki-driven metabolic network aligns with mammalian cancer metabolism. Yki tumors exhibited a Warburg-like state with increased glycolytic throughput and enhanced conversion of glucose-derived carbon to lactate, accompanied by transcriptional upregulation of key glycolytic and lactate-production enzymes. Glucose carbon was also redirected into redox-supporting and anabolic nodes, including activation of the glycerol-3-phosphate shuttle and increased labeling of alanine and serine. Mitochondrial metabolism was reorganized into a non-canonical, segmented TCA network centered on -ketoglutarate, which accumulated and acted as a drain into glutamate/glutamine and 2-hydroxyglutarate rather than supporting complete oxidative turnover. Despite reduced abundance of pentose phosphate intermediates, non-oxidative PPP carbon rearrangements and ribose labeling were maintained, enabling robust glucose contribution to pyrimidine nucleotide pools, including strongly labeled dTTP. Together, these data establish a comprehensive map of Yki-driven central carbon partitioning in vivo and highlight conserved principles of tumor carbon allocation shared across oncogenic contexts and mammalian cancer metabolism.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Cell Metabolism
49 papers in training set
Top 0.1%
21.6%
2
Nature Communications
4913 papers in training set
Top 13%
13.8%
3
Developmental Cell
168 papers in training set
Top 3%
6.1%
4
Cell Reports
1338 papers in training set
Top 9%
6.1%
5
Nature Metabolism
56 papers in training set
Top 0.3%
6.1%
50% of probability mass above
6
Nature
575 papers in training set
Top 6%
4.7%
7
Molecular Cell
308 papers in training set
Top 4%
3.8%
8
Cancer Discovery
61 papers in training set
Top 0.5%
3.8%
9
eLife
5422 papers in training set
Top 31%
2.8%
10
Nature Cell Biology
99 papers in training set
Top 2%
2.8%
11
Science Advances
1098 papers in training set
Top 11%
2.5%
12
Cell
370 papers in training set
Top 9%
2.5%
13
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 27%
2.3%
14
Cancer Research
116 papers in training set
Top 2%
1.6%
15
Science
429 papers in training set
Top 15%
1.6%
16
Cell Reports Medicine
140 papers in training set
Top 5%
1.3%
17
Advanced Science
249 papers in training set
Top 15%
1.2%
18
Cell Systems
167 papers in training set
Top 10%
1.2%
19
Nature Cancer
35 papers in training set
Top 1%
0.9%
20
The EMBO Journal
267 papers in training set
Top 4%
0.9%
21
Genome Medicine
154 papers in training set
Top 8%
0.8%
22
Nature Ecology & Evolution
113 papers in training set
Top 5%
0.7%
23
Nature Genetics
240 papers in training set
Top 8%
0.7%
24
Cell Stem Cell
57 papers in training set
Top 3%
0.7%