Back

Modeling the MRD state reveals the insomnia of chemotherapy-tolerant persister clones

Hata, K.; Sato, T.; Fukawa, Y.; Yotsumata, H.; Mizuguchi, Y.; Ishimaru, N.; Harada, H.; Ohteki, T.

2026-07-08 cancer biology
10.64898/2026.06.14.732194 bioRxiv
Show abstract

Regardless of the success of clinical surgery, disseminated tumor cells (DTCs) can persist in distant organs, with a fraction surviving chemotherapy, which can result in minimal residual disease (MRD), a relevant reservoir for metastatic relapse. Yet, the cellular states that enable the survival and outgrowth of MRD remain poorly defined. Here, using a patient-derived tongue cancer organoid (TCO) model, we recapitulated the key features of chemotherapy-tolerant DTCs by culturing TCOs under growth-factor deprivation and chemotherapeutic stress conditions that mimic the metastatic tissue environment. Clonal-level analyses revealed a distinct subset of cells that retained proliferative capacity without entering a therapy-induced cytostatic state (hereafter referred to as cycling persisters, CPs). CPs exhibited coordinated activation of the IFN signaling pathway, Xenobiotic metabolism, and inflammatory signaling pathways, defining a transcriptional and metabolic program that enables sustained proliferation of CPs under the poor conditions. Consistently, a cell population with similar features was identified in metastatic tissues from patients. Longitudinal clonal tracking demonstrated that early metastatic recurrence is more likely driven by CPs, suggesting a novel mechanism that differs from the prevailing view that relapse arises from reactivation of dormant non-CPs. Our findings highlight a critical therapeutic oversight in relapse prevention.

Matching journals

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

1
Nature Communications
5641 papers in training set
Top 15%
12.2%
2
Cell Reports
1498 papers in training set
Top 2%
9.6%
3
Cancer Cell
42 papers in training set
Top 0.1%
6.6%
4
Cancer Discovery
66 papers in training set
Top 0.3%
6.6%
5
Cancer Research
130 papers in training set
Top 0.4%
6.6%
6
eLife
5828 papers in training set
Top 25%
4.8%
7
Science Advances
1243 papers in training set
Top 8%
4.0%
50% of probability mass above
8
Cancer Letters
35 papers in training set
Top 0.2%
4.0%
9
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 17%
3.2%
10
Clinical Cancer Research
64 papers in training set
Top 0.7%
2.7%
11
Nature Cancer
39 papers in training set
Top 0.6%
2.6%
12
JCI Insight
277 papers in training set
Top 3%
2.3%
13
Journal of Experimental Medicine
119 papers in training set
Top 2%
1.7%
14
Cancer Research Communications
51 papers in training set
Top 0.9%
1.7%
15
Journal of Clinical Investigation
179 papers in training set
Top 3%
1.7%
16
Cell Stem Cell
62 papers in training set
Top 1%
1.5%
17
Molecular Cancer Therapeutics
40 papers in training set
Top 0.6%
1.5%
18
Communications Biology
993 papers in training set
Top 18%
1.4%
19
Cell Reports Medicine
153 papers in training set
Top 3%
1.1%
20
The EMBO Journal
309 papers in training set
Top 5%
1.1%
21
Cancers
213 papers in training set
Top 4%
1.0%
22
Developmental Cell
196 papers in training set
Top 4%
0.9%
23
iScience
1154 papers in training set
Top 36%
0.8%
24
Genome Medicine
183 papers in training set
Top 5%
0.8%
25
Scientific Reports
3612 papers in training set
Top 75%
0.8%
26
Science Translational Medicine
127 papers in training set
Top 4%
0.8%
27
Cancer Immunology Research
35 papers in training set
Top 0.9%
0.8%
28
EMBO Reports
263 papers in training set
Top 9%
0.6%
29
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 2%
0.6%