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FXYD3 functionally demarcates an ancestral breast cancer stem cell subpopulation with features of drug-tolerant persisters
Mengjiao Li, … , Theodoros Foukakis, Noriko Gotoh
Mengjiao Li, … , Theodoros Foukakis, Noriko Gotoh
Published November 15, 2023
Citation Information: J Clin Invest. 2023;133(22):e166666. https://doi.org/10.1172/JCI166666.
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Research Article Oncology Article has an altmetric score of 41

FXYD3 functionally demarcates an ancestral breast cancer stem cell subpopulation with features of drug-tolerant persisters

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Abstract

The heterogeneity of cancer stem cells (CSCs) within tumors presents a challenge in therapeutic targeting. To decipher the cellular plasticity that fuels phenotypic heterogeneity, we undertook single-cell transcriptomics analysis in triple-negative breast cancer (TNBC) to identify subpopulations in CSCs. We found a subpopulation of CSCs with ancestral features that is marked by FXYD domain–containing ion transport regulator 3 (FXYD3), a component of the Na+/K+ pump. Accordingly, FXYD3+ CSCs evolve and proliferate, while displaying traits of alveolar progenitors that are normally induced during pregnancy. Clinically, FXYD3+ CSCs were persistent during neoadjuvant chemotherapy, hence linking them to drug-tolerant persisters (DTPs) and identifying them as crucial therapeutic targets. Importantly, FXYD3+ CSCs were sensitive to senolytic Na+/K+ pump inhibitors, such as cardiac glycosides. Together, our data indicate that FXYD3+ CSCs with ancestral features are drivers of plasticity and chemoresistance in TNBC. Targeting the Na+/K+ pump could be an effective strategy to eliminate CSCs with ancestral and DTP features that could improve TNBC prognosis.

Authors

Mengjiao Li, Tatsunori Nishimura, Yasuto Takeuchi, Tsunaki Hongu, Yuming Wang, Daisuke Shiokawa, Kang Wang, Haruka Hirose, Asako Sasahara, Masao Yano, Satoko Ishikawa, Masafumi Inokuchi, Tetsuo Ota, Masahiko Tanabe, Kei-ichiro Tada, Tetsu Akiyama, Xi Cheng, Chia-Chi Liu, Toshinari Yamashita, Sumio Sugano, Yutaro Uchida, Tomoki Chiba, Hiroshi Asahara, Masahiro Nakagawa, Shinya Sato, Yohei Miyagi, Teppei Shimamura, Luis Augusto E. Nagai, Akinori Kanai, Manami Katoh, Seitaro Nomura, Ryuichiro Nakato, Yutaka Suzuki, Arinobu Tojo, Dominic C. Voon, Seishi Ogawa, Koji Okamoto, Theodoros Foukakis, Noriko Gotoh

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Figure 8

Ancestor-like CSCs are related to poor clinical prognosis.

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Ancestor-like CSCs are related to poor clinical prognosis.
(A) Forty-eig...
(A) Forty-eight genes (outlined by thick black lines) from the Venn diagram shown in Figure 3A were upregulated in quiescent clusters across 3 of 4 samples and selected as the ancestor-like CSC signature genes. (B) UMAP visualization of scRNA-Seq data from PDX models shown in Figure 1B colored using GSVA score of the ancestor-like CSC signature. (C and D) UMAP visualization of single-nucleus RNA-Seq data from NAC-sensitive or NAC-resistant TNBC cancer tissues shown in Figure 1D colored using GSVA score for the ancestor-like CSC signature and compared between pre- and mid-/post-treatment subgroups (C). Wilcoxon’s rank sum test (D) was used to determine significant P value. (E) Kaplan-Meier survival analysis between high (>0) and low (<0) subgroups of the ancestor-like CSC signature score in METABRIC cohort of breast cancer patients who received chemotherapy (not hormone therapy; n = 213) or belonged to TNBC subtype (n = 299). OS, overall survival; PFS, progression-free survival. (F) Kaplan-Meier survival analysis between NRP1hiFXYD3lo and NRP1hiFXYD3hi groups in METABRIC cohort of TNBC breast cancer patients. n = 149. Medians were used for cutoff value. P value was obtained using log-rank test. (G) Representative images of H&E staining and immunofluorescence staining of paired tumor samples of pre- and post-NAC from patients with TNBC, using antibodies against FXYD3 and NRP1 or IGF1R. Nuclei were stained using DAPI. Yellow arrows indicate cells double-positive for NRP1 and FXYD3 (top) and cells double-positive for IGF1R and FXYD3 (bottom). Scale bars: 20 μm. (H) Quantification of the ratio (percent) of the cells double-positive for NRP1 and FXYD3 to total NRP1-positive cells (top) and the cells double-positive for IGF1R and FXYD3 to total IGF1R-positive cells (bottom). n = 5 random fields were collected for each condition. Statistical significance was determined by 2-tailed Mann-Whitney U tests. Results are shown as means ± SEM.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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