Evidence map›Paper›PMID 40429857›Full record

ArticleInternational journal of molecular sciences2025

Optimizing Detection of Circulating Tumor Cells in Breast Cancer: Unveiling New Markers for Clinical Applications.

Amira Mehtar, Janine Wechsler, Christophe Desterke, Julien Giron-Michel, Amira Bouzidi, Aude Burlion, Fawzia Louache, Samira Kahia-Tani, Georges Uzan, Sina Naserian

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Amira MehtarScreenCell, 75012 Paris, France.
Janine WechslerScreenCell, 75012 Paris, France.
Christophe DesterkeFaculté de Médecine du Kremlin Bicêtre, Université Paris-Saclay, INSERM UMRS-1310, 94805 Villejuif, France.ORCID 0000-0001-7679-2524
Julien Giron-MichelOrsay-Vallée Campus, Paris-Saclay University, 91190 Gif-sur-Yvette, France.ORCID 0000-0001-6613-6099
Amira BouzidiScreenCell, 75012 Paris, France.ORCID 0000-0002-6785-5746
Aude BurlionScreenCell, 75012 Paris, France.
Fawzia LouacheOrsay-Vallée Campus, Paris-Saclay University, 91190 Gif-sur-Yvette, France.
Samira Kahia-TaniKahia Laboratory, Oran 31000, Algeria.
Georges UzanOrsay-Vallée Campus, Paris-Saclay University, 91190 Gif-sur-Yvette, France.
Sina NaserianScreenCell, 75012 Paris, France.ORCID 0000-0003-3604-8375

Funding

ScreenCell ScreenCell-BC2023
6 · The paper itself

Abstract

Breast cancer (BC) is a heterogeneous disease with high metastasis potential, especially in the bones, liver, and lungs. Circulating tumor cells (CTCs), which emerge from active tumors, represent an early step toward metastasis and are associated with poor prognosis. CTCs of carcinoma origin are believed to express EpCAM and cytokeratins (CKs), common epithelial markers that are frequently used to identify them. However, in practice, the most aggressive CTCs lose the expression of those markers, leading to the partial loss of important information. Thus, finding some novel markers that identify CTCs regardless of their heterogeneity is crucial. A specific bioinformatics workflow integrating primary tumor and diverse BC cell lines transcriptomic expression analysis was developed and compared with single CTC transcriptomic analyses. We have identified a set of genes that are overexpressed in primary BC cells and are commonly upregulated among BC cell lines. Fifty of them were also found to be expressed in BC CTCs by single-cell transcriptomic analysis. Further in silico sorting narrowed this list to 12 genes. Using ScreenCell technology to isolate cancer cells spiked into normal blood, we tested the protein expression of all corresponding genes in vitro using the double immunocytochemistry method and validated MARCKSL1, SLC9A3R1, and RHOD as the most expressed markers. We then isolated the CTCs of 40 LN-invaded BC patients and 18 healthy donors using ScreenCell technology and showed that the combination of these three markers resulted in significantly better recognition of CTCs compared to EpCAM and CK conventional markers. Employing these novel markers, we found a clear distinction between blood samples from patients and healthy donors. In conclusion, through a specific bioinformatics workflow, in addition to in vitro and further clinical validations, we found three novel markers to precisely identify CTCs. These markers, when used together, enable a significantly more efficient identification of CTCs compared to conventional epithelial markers.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplastic Cells, CirculatingCell Line, TumorComputational BiologyEpithelial Cell Adhesion MoleculeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisTranscriptomeBiomarkers, TumorEpithelial Cell Adhesion Moleculebiomarkerbreast cancercirculating tumor cellsliquid biopsyprecision medicine

Identifiers

PMID40429857
PMCPMC12111556

What Socratic holds

Textmetadata
LicenceCC BY
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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.