Back

A SIRT5-induced metabolic switch underlies chemoresistance and ATR checkpoint dependence in triple-negative breast cancer

Ren, Z.; Bernasocchi, T.; Kurmi, K.; Guo, C.; Jiang, K.; Zaniewski, E.; Lam, G.; Islam, K. N.; Joshi, S.; Li, X.; Smidt, I.; Morris, R.; Ordway, B.; Bossuyt, V.; Wang, G. X.; Chou, S.-H.; Zou, L.; Sanidas, I.; Spring, L. M.; Lawrence, M.; Rheinbay, E.; Haas, W.; Mostoslavsky, R.; Haigis, M. C.; Ellisen, L. W.

2026-04-09 cancer biology
10.64898/2026.04.07.716852 bioRxiv
Show abstract

Chemoresistance is the leading cause of poor prognosis in triple-negative breast cancer (TNBC), yet the underlying mechanisms remain unknown. To reveal metabolic drivers of de novo chemoresistance in TNBC, we analyzed pretreatment primary tumor biopsies, employing quantitative proteomics and metabolomics. Chemoresistant TNBCs exhibit hallmarks of oxidative phosphorylation (OXPHOS) and altered nucleotide metabolism linked to overexpression of the mitochondrial sirtuin, SIRT5. Through gain- and loss-of-function studies and stable isotope tracing, we demonstrate that SIRT5 induces a coordinated metabolic switch that redirects glycolysis to the pentose phosphate pathway, thereby augmenting nucleotide pools, while enhancing glutaminolysis to support OXPHOS. Mechanistically, SIRT5 enhances conversion of 6-phospho-D-gluconate to ribulose-5-phosphate through demalonylation of 6-phosphogluconate dehydrogenase (6-PGD), and coordinately activates oncogenic c-MYC to promote glutamine utilization and dependence. Concurrently, SIRT5-induced nucleotide deregulation induces replication stress and hypersensitivity to ATR checkpoint activation, and ATR inhibition synergistically reverses chemoresistance in TNBC. Thus, elevated SIRT5 orchestrates a coordinated metabolic switch to expand nucleotide pools and drive chemoresistance, while producing ATR checkpoint dependence that represents a metabolic vulnerability of SIRT5-overexpressing TNBC. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=182 HEIGHT=200 SRC="FIGDIR/small/716852v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1c7a27corg.highwire.dtl.DTLVardef@17cb22borg.highwire.dtl.DTLVardef@1956670org.highwire.dtl.DTLVardef@1786dee_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Cell Reports
1338 papers in training set
Top 0.1%
22.2%
2
Cell Metabolism
49 papers in training set
Top 0.1%
8.3%
3
Molecular Cell
308 papers in training set
Top 2%
7.1%
4
Developmental Cell
168 papers in training set
Top 4%
4.8%
5
Nature Communications
4913 papers in training set
Top 35%
4.2%
6
Cancer Cell
38 papers in training set
Top 0.5%
3.5%
50% of probability mass above
7
Science Advances
1098 papers in training set
Top 6%
3.5%
8
Cell
370 papers in training set
Top 6%
3.5%
9
Cell Genomics
162 papers in training set
Top 2%
3.2%
10
Advanced Science
249 papers in training set
Top 7%
3.0%
11
Cell Reports Medicine
140 papers in training set
Top 2%
3.0%
12
eLife
5422 papers in training set
Top 31%
2.7%
13
Nature Metabolism
56 papers in training set
Top 0.8%
2.7%
14
iScience
1063 papers in training set
Top 11%
2.0%
15
Nature
575 papers in training set
Top 10%
1.9%
16
Cancer Research
116 papers in training set
Top 2%
1.9%
17
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 33%
1.7%
18
Cancer Discovery
61 papers in training set
Top 1%
1.5%
19
Cell Chemical Biology
81 papers in training set
Top 2%
1.5%
20
Cell Systems
167 papers in training set
Top 8%
1.3%
21
Nature Cell Biology
99 papers in training set
Top 3%
1.2%
22
Oncogene
76 papers in training set
Top 2%
0.9%
23
The EMBO Journal
267 papers in training set
Top 4%
0.9%
24
Nature Chemical Biology
104 papers in training set
Top 3%
0.8%
25
Nature Cancer
35 papers in training set
Top 1%
0.7%
26
EMBO Molecular Medicine
85 papers in training set
Top 5%
0.7%