Evidence map›Paper›PMID 41543394›Full record

ArticleCancer research communications2026

Surface Marker Identification to Capture Live Circulating Tumor Cells in Metastatic Triple-Negative Breast Cancer.

Bree M Lege, Khushali J Patel, Brendan Panici, Ping Gong, Michael T Lewis, Matthew J Ellis, Chonghui Cheng

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Bree M LegeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-5009-4143
Khushali J PatelDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-9964-5359
Brendan PaniciDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-8633-1107
Ping GongLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0009-0002-8137-7573
Michael T LewisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-6330-4007
Matthew J EllisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-8467-8534
Chonghui ChengDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-5760-2008

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Mechanisms of tumor cell clustering in breast cancer metastasisR01CA276432 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Chonghui Cheng · 2023 to 2026
$1.8M
BD Biosciences Special Order LSRIIS10RR024574 · NCRR · BAYLOR COLLEGE OF MEDICINE · PI LUMPKIN, ELLEN A · 2009 to 2009
$430k
Cancer Prevention and Research Institute of Texas (CPRIT) RP220646Cancer Prevention and Research Institute of Texas (CPRIT) RR160009Center for Cancer Research (CCR) NCI-CA125123Congressionally Directed Medical Research Programs (CDMRP) HT94252310753Division of Cancer Epidemiology and Genetics (DCEG) R01CA276432NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA276432NCRR NIH HHS S10 RR024574
6 · The paper itself

Abstract

Metastatic triple-negative breast cancer (TNBC) is highly aggressive and lacks targeted therapies. Circulating tumor cells (CTC) are invaluable for monitoring metastatic tumor progression and treatment response but are difficult to capture because of their rarity and heterogeneity. Surface-based staining for live CTCs is essential to preserve RNA quality in single cells, but current markers tend to perform poorly on more mesenchymal tumor cells such as TNBCs. To enhance live TNBC CTC detection, we developed a workflow for live CTC capture and single-cell RNA sequencing (scRNA-seq). Using a mouse model of metastatic TNBC, we identified four new CTC surface markers, AHNAK2, CAVIN1, ODR4, and TRIML2, which specifically stain tumor cells. Combining antibodies against these markers improved CTC detection rates in multiple TNBC mouse models and patient samples. Also, combining these new markers with traditional CTC surface markers enhanced detection sensitivity, achieving the highest CTC coverage. This approach identifies diverse CTC populations, while preserving RNA quality for scRNA-seq, which is essential for understanding and therapeutically targeting metastatic breast cancer. The use of these newly identified CTC markers significantly enhances both detection and live capture of CTCs, paving the way for more effective use of liquid biopsy to monitor patient prognosis and treatment response in clinical settings. SIGNIFICANCE: CTCs are a powerful indicator of cancer metastasis; however, their scarcity makes them difficult to isolate. Current markers favor epithelial CTCs over mesenchymal populations. Our workflow for live CTC capture and sequencing enables discovery of new markers for both epithelial and mesenchymal CTCs. When combined with existing markers, we improve live CTC capture for more holistic studies of the metastatic process and offer a scalable method for discovering CTC markers.

Indexed as

Biomarkers, TumorNeoplastic Cells, CirculatingTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleHumansMiceNeoplasm MetastasisSingle-Cell Gene Expression AnalysisBiomarkers, Tumor

Identifiers

PMID41543394
PMCPMC12805936

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Registered trials

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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.