Evidence map›Paper›PMID 37966117›Full record

ArticleThe Journal of clinical investigation2023

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

Mengjiao Li, Tatsunori Nishimura, Yasuto Takeuchi, Tsunaki Hongu, Yuming Wang, Daisuke Shiokawa, Kang Wang, Haruka Hirose, Asako Sasahara, Masao Yano and 29 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors at 16 institutions in 7 countries.

Mengjiao LiDivision of Cancer Cell Biology, Cancer Research Institute, and.
Tatsunori NishimuraDivision of Cancer Cell Biology, Cancer Research Institute, and.
Yasuto TakeuchiDivision of Cancer Cell Biology, Cancer Research Institute, and.
Tsunaki HonguDivision of Cancer Cell Biology, Cancer Research Institute, and.
Yuming WangDivision of Cancer Cell Biology, Cancer Research Institute, and.
Daisuke ShiokawaDivision of Cancer Differentiation, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Kang WangDepartment of Oncology-Pathology, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Haruka HiroseDivision of Systems Biology, Graduate School of Medicine, Nagoya University, Nagoya City, Japan.
Asako SasaharaDepartment of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Masao YanoDepartment of Surgery, Minami-machida Hospital, Machida City, Tokyo, Japan.
Satoko IshikawaDepartment of Breast Oncology, Kanazawa University Hospital, Kanazawa City, Japan.
Masafumi InokuchiDepartment of Breast Oncology, Kanazawa University Hospital, Kanazawa City, Japan.
Tetsuo OtaDepartment of Breast Oncology, Kanazawa University Hospital, Kanazawa City, Japan.
Masahiko TanabeDepartment of Breast and Endocrine Surgery, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Kei-Ichiro TadaDepartment of Breast and Endocrine Surgery, Nihon University, Itabashi-ku, Tokyo, Japan.
Tetsu AkiyamaLaboratory of Molecular and Genetic Information, Institute for Quantitative Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Xi ChengDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Chia-Chi LiuNorth Shore Heart Research Group, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.
Toshinari YamashitaDepartment of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama City, Kanagawa, Japan.
Sumio SuganoTokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Yutaro UchidaDepartment of Systems Biomedicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Tomoki ChibaDepartment of Systems Biomedicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Hiroshi AsaharaDepartment of Systems Biomedicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Masahiro NakagawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto, Japan.
Shinya SatoMolecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama City, Kanagawa, Japan.
Yohei MiyagiMolecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama City, Kanagawa, Japan.
Teppei ShimamuraDivision of Systems Biology, Graduate School of Medicine, Nagoya University, Nagoya City, Japan.
Luis Augusto E NagaiLaboratory of Computational Genomics, Institute for Quantitative Biosciences.
Akinori KanaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Biosciences.
Manami KatohDepartment of Cardiovascular Medicine, Graduate School of Medicine.
Seitaro NomuraDepartment of Cardiovascular Medicine, Graduate School of Medicine.
Ryuichiro NakatoLaboratory of Computational Genomics, Institute for Quantitative Biosciences.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Biosciences.
Arinobu TojoTokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Dominic C VoonInstitute for Frontier Science Initiative, Kanazawa University, Kanazawa City, Japan.
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto, Japan.
Koji OkamotoDivision of Cancer Differentiation, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Theodoros FoukakisDepartment of Oncology-Pathology, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Noriko GotohDivision of Cancer Cell Biology, Cancer Research Institute, and.
Tokyo Medical and Dental University · JPKanagawa Prefectural Hospital Organization · JPKanazawa University · JPKanazawa University Hospital · JPThe University of Tokyo · JPFrontier Medical College · PKKarolinska University Hospital · SEKyoto University · JPNagoya City University · JPQuantitative BioSciences · USFrontier Science Foundation · CHNihon University · JPOida Hospital · JPShanghai Medical College of Fudan University · CNTeikyo University · JPThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Triple Negative Breast NeoplasmsCell Line, TumorHumansMembrane ProteinsNeoplasm ProteinsNeoplastic Stem CellsFXYD3 protein, humanMembrane ProteinsNeoplasm ProteinsBreast cancerDrug therapyOncologyStem cells

Identifiers

PMID37966117
PMCPMC10645391
OpenAlexW4388698764

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.