Evidence map›Paper›PMID 42426460›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Isolation and Sequencing of Single Circulating Tumor Cells.

Marianne Oulhen, Maria Virginia Sanchez-Becerra, Patrycja Pawlikowska, Françoise Farace

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Marianne Oulhen"Circulating Tumor Cells" Translational Platform, AMMICA CNRS UMS3655 - INSERM US23, Gustave Roussy Paris Saclay University, F-94805, Villejuif, France.
Maria Virginia Sanchez-Becerra"Circulating Tumor Cells" Translational Platform, AMMICA CNRS UMS3655 - INSERM US23, Gustave Roussy Paris Saclay University, F-94805, Villejuif, France.
Patrycja Pawlikowska"Circulating Tumor Cells" Translational Platform, AMMICA CNRS UMS3655 - INSERM US23, Gustave Roussy Paris Saclay University, F-94805, Villejuif, France.
Françoise Farace"Circulating Tumor Cells" Translational Platform, AMMICA CNRS UMS3655 - INSERM US23, Gustave Roussy Paris Saclay University, F-94805, Villejuif, France. francoise.farace@gustaveroussy.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing (SCS) technology has become an important tool for researchers to study human diseases, including cancer, providing insights into phenotypic and genetic tumor heterogeneity, targeted therapy resistance, and metastasis. SCS technology has proven to be a remarkable tool for shedding light on the impressive molecular heterogeneity of circulating tumor cells (CTCs). However, the extreme rarity and biological heterogeneity of CTCs have imposed technical challenges for their analyses at the single-cell level, and affected the success of robust processing of complex and costly downstream methodologies. Here, we present the entire workflow we developed to enrich, detect and isolate single non-small-cell lung cancer (NSCLC) CTCs to characterize tumor cell subpopulation resistant to targeted therapy. Once isolated, individual CTCs underwent a molecular workflow including whole-genome amplification (WGA) and qualification, followed by two SCS techniques, including targeted next-generation sequencing (NGS) for somatic variant identification and the low-pass whole genome sequencing (LP-WGS) for the analysis of copy number alterations (CNA).

Indexed as

Carcinoma, Non-Small-Cell LungCell SeparationHigh-Throughput Nucleotide SequencingLung NeoplasmsNeoplastic Cells, CirculatingSingle-Cell AnalysisCell Line, TumorDNA Copy Number VariationsHumansWhole Genome SequencingCirculating tumor cellsFluorescence-activated cell sorting (FACS)Single-cell isolationSingle-cell sequencing

Identifiers

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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.