- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
FXYD3 functionally demarcates an ancestral breast cancer stem cell subpopulation with features of drug-tolerant persisters
-
- Li, Mengjiao
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University
-
- Nishimura, Tatsunori
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University
-
- Takeuchi, Yasuto
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University; Institute for Frontier Science Initiative, Kanazawa University
-
- Hongu, Tsunaki
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University
-
- Wang, Yuming
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University
-
- Shiokawa, Daisuke
- Division of Cancer Differentiation, National Cancer Center Research Institute
-
- Wang, Kang
- Department of Oncology-Pathology, Karolinska Institute, Karolinska University Hospital
-
- Hirose, Haruka
- Division of Systems Biology, Graduate School of Medicine, Nagoya University
-
- Sasahara, Asako
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo
-
- Yano, Masao
- Department of Surgery, Minami-machida Hospital
-
- Ishikawa, Satoko
- Department of Breast Oncology, Kanazawa University Hospital
-
- Inokuchi, Masafumi
- Department of Breast Oncology, Kanazawa University Hospital
-
- Ota, Tetsuo
- Department of Breast Oncology, Kanazawa University Hospital
-
- Tanabe, Masahiko
- Department of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo
-
- Tada, Kei-ichiro
- Department of Breast and Endocrine Surgery, Nihon University
-
- Akiyama, Tetsu
- Laboratory of Molecular and Genetic Information, Institute for Quantitative Biosciences, The University of Tokyo
-
- Cheng, Xi
- Department of Oncology, Shanghai Medical College, Fudan University
-
- Liu, Chia-Chi
- North Shore Heart Research Group, Kolling Institute, University of Sydney
-
- Yamashita, Toshinari
- Department of Breast and Endocrine Surgery, Kanagawa Cancer Center
-
- Sugano, Sumio
- Tokyo Medical and Dental University
-
- Uchida, Yutaro
- Department of Systems Biomedicine, Tokyo Medical and Dental University
-
- Chiba, Tomoki
- Department of Systems Biomedicine, Tokyo Medical and Dental University
-
- Asahara, Hiroshi
- Department of Systems Biomedicine, Tokyo Medical and Dental University
-
- Nakagawa, Masahiro
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University
-
- Sato, Shinya
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute
-
- Miyagi, Yohei
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute
-
- Shimamura, Teppei
- Division of Systems Biology, Graduate School of Medicine, Nagoya University
-
- Nagai, Luis Augusto E.
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo
-
- Kanai, Akinori
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Biosciences, The University of Tokyo
-
- Katoh, Manami
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo; Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo
-
- Nomura, Seitaro
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo; Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo; Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo
-
- Nakato, Ryuichiro
- Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo
-
- Suzuki, Yutaka
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Biosciences, The University of Tokyo
-
- Tojo, Arinobu
- Tokyo Medical and Dental University; Institute of Medical Science, The University of Tokyo
-
- Voon, Dominic C.
- Institute for Frontier Science Initiative, Kanazawa University; Inflammation and Epithelial Plasticity Unit, Cancer Research Institute, Kanazawa University
-
- Ogawa, Seishi
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University
-
- Okamoto, Koji
- Division of Cancer Differentiation, National Cancer Center Research Institute; Advanced Comprehensive Research Organization, Teikyo University
-
- Foukakis, Theodoros
- Department of Oncology-Pathology, Karolinska Institute, Karolinska University Hospital
-
- Gotoh, Noriko
- Division of Cancer Cell Biology, Cancer Research Institute, Kanazawa University; Institute for Frontier Science Initiative, Kanazawa University
Description
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.
Journal
-
- Journal of Clinical Investigation
-
Journal of Clinical Investigation 133 (22), 2023-11-15
American Society for Clinical Investigation
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1050016726134252160
-
- ISSN
- 15588238
-
- HANDLE
- 2433/286114
-
- PubMed
- 37966117
-
- Text Lang
- en
-
- Article Type
- journal article
-
- Data Source
-
- IRDB
- Crossref
- KAKEN
- OpenAIRE