Evidence map›Paper›PMID 40230213›Full record

ArticleCancer research2025

Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor-Initiating Cells Characterized by IFN/STAT1 Activity.

Eric P Souto, Ping Gong, John D Landua, Ramakrishnan Rajaram Srinivasan, Abhinaya Ganesan, Lacey E Dobrolecki, Stephen C Purdy, Xingxin Pan, Michael Zeosky, Anna Chung and 3 more

Abstract read
In one paragraph

Article in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. [Application progress of single-cell RNA sequencing technology in breast development and related diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
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

13 authors.

Eric P SoutoLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0003-1747-0669
Ping GongLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0009-0002-8137-7573
John D LanduaLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-4747-3038
Ramakrishnan Rajaram SrinivasanLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-8087-9200
Abhinaya GanesanLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-2731-1576
Lacey E DobroleckiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-6839-629X
Stephen C PurdyDepartment of Pharmacology, University of Colorado Anschutz Medical Campus (UC-AMC), Aurora, Colorado.ORCID 0000-0001-9640-5501
Xingxin PanLivestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-4429-4878
Michael ZeoskyLivestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas.ORCID 0009-0006-8534-062X
Anna ChungLivestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas.ORCID 0009-0002-0011-0130
S Stephen YiLivestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas.ORCID 0000-0003-0047-8103
Heide L FordDepartment of Pharmacology, University of Colorado Anschutz Medical Campus (UC-AMC), Aurora, Colorado.ORCID 0000-0002-2860-9841
Michael T LewisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-6330-4007

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
Tolinapant efficacy in a subset of triple negative breast cancersU54CA224076 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Michael T. Lewis · 2017 to 2026
$13.5M
Deciphering Mechanisms by which Tumor Cells Collaborate to Mediate MetastasisR01CA224867 · NCI · UNIVERSITY OF COLORADO DENVER · PI FORD, HEIDE L., LEWIS, MICHAEL T. · 2019 to 2023
$3.2M
Network-based Framework to Decode Novel Gain-of-Function Mutations and their Mechanistic Roles in General Human DiseasesR35GM133658 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI S. Stephen Yi · 2019 to 2026
$2.6M
High Throughput Genomic Sequencer at BCM Core FacilityS10OD023469 · OD · BAYLOR COLLEGE OF MEDICINE · PI CHEN, RUI · 2017 to 2017
$600k
BD Biosciences Special Order LSRIIS10RR024574 · NCRR · BAYLOR COLLEGE OF MEDICINE · PI LUMPKIN, ELLEN A · 2009 to 2009
$430k
Acquisition of 10X Genomics Chromium Instrument to Accelerate Genomic and Single Cell Transcriptomic ResearchS10OD025240 · OD · BAYLOR COLLEGE OF MEDICINE · PI DODDAPANENI, HARSHA VARDHAN · 2018 to 2018
$125k
Identifying and Targeting STAT3 Tumor-Initiating Cells in Triple-Negative Breast CancerF31CA278274 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SOUTO, ERIC PHILIP · 2023 to 2024
$70k
Cancer Research and Prevention Initiative of Texas RP170691National Cancer Institute (NCI) F31CA278274National Cancer Institute (NCI) R01CA224867National Cancer Institute (NCI) U54CA224076National Institutes of Health (NIH) R35GM133658NCI NIH HHS F31 CA278274NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA224867NCI NIH HHS U54 CA224076NCRR NIH HHS S10 RR024574NEI NIH HHS P30 EY002520NIGMS NIH HHS R35 GM133658NIH HHS S10 OD023469NIH HHS S10 OD025240Susan G. Komen Foundation CCR19609287
6 · The paper itself

Abstract

A tumor cell subpopulation of tumor-initiating cells (TIC) or "cancer stem cells" is associated with therapeutic resistance, as well as both local and distant recurrences. Signal transducer and activator of transcription (STAT) activity is elevated in TICs in claudin-low models of human triple-negative breast cancer, which enables enrichment of TICs using a STAT-responsive reporter. Lineage tracing of TICs as they undergo cell state changes could enable a better understanding of the molecular phenotypes of TIC and uncover strategies to selectively target TICs. In this study, we developed a STAT-responsive lineage-tracing system and used it in conjunction with the original reporter to enrich for cells with enhanced mammosphere-forming potential. This approach was able to detect TICs in some, but not all, basal-like triple-negative breast cancer xenograft models, indicating that STAT signaling has both TIC-related and TIC-independent functions. Single-cell RNA sequencing (RNA-seq) of reporter-tagged xenografts and clinical samples identified a common IFN/STAT1-associated transcriptional state in TICs that was previously linked to inflammation and macrophage differentiation. Surprisingly, most of the identified genes were not present in previously published TIC signatures derived using bulk RNA-seq. Finally, bone marrow stromal cell antigen-2 was identified as a cell surface marker of this state that functionally regulated TIC frequency. These results suggest that TICs may exploit the IFN/STAT1 signaling axis to promote their activity and that targeting this pathway may help eliminate TICs. Significance: Coupling single-cell transcriptomics with tumor-initiating cell enrichment identified IFN response gene expression not previously reported in bulk RNA-sequencing-derived signatures and proposed IFN/STAT1 signaling as a candidate therapeutic target in breast cancer.

Indexed as

Breast NeoplasmsInterferonsNeoplastic Stem CellsSTAT1 Transcription FactorTriple Negative Breast NeoplasmsAnimalsCell LineageCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMiceRNA-SeqSequence Analysis, RNASignal TransductionSingle-Cell AnalysisInterferonsSTAT1 protein, humanSTAT1 Transcription Factor

Identifiers

PMID40230213
PMCPMC11997551

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.