Evidence map›Paper›PMID 41073861›Full record

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

Robust dPCR Hyper-Plexing Approach by Color Combination for Detection of 17 ESR1 Mutations in Breast Cancer Patient Samples.

Sylvain Ursuegui, Julie Donzier, Cécile Jovelet, Etienne Fradet, Rémi Dangla

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. 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. Exploration of targeted anti-tumor therapy · 2026
    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

5 authors.

Sylvain UrsueguiStilla Technologies, Villejuif, France. Sylvain.Ursuegui@stilla.fr.
Julie DonzierStilla Technologies, Villejuif, France.
Cécile JoveletStilla Technologies, Villejuif, France. Cecile.jovelet@stilla.fr.
Etienne FradetStilla Technologies, Villejuif, France.
Rémi DanglaStilla Technologies, Villejuif, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital PCR has seen increasing adoption in recent years since it overcomes most of the main technical limitations of real-time PCR. However, the level of multiplexing remains limited when facing the need to develop approaches that can detect multiple targets in a single reaction with a high sensitivity to obtain a more complete genetic characterization of samples. This need concerns most molecular biology applications, but it is especially valuable in fields such as oncology, for which it is often necessary to detect numerous specific mutations, particularly those involving hotspots, in order to adapt a treatment, monitor the efficacy of a drug, and detect resistance mutations. This is the case of the ESR1 gene in breast cancer, where numerous mutations can be responsible for mechanisms of resistance to the backbone therapy. In this sense, the implementation of color combination using Crystal Digital PCR® allows high levels of multiplexing to be achieved, while maintaining simplicity and robustness of analysis. This approach has been successfully applied to the detection of 17 ESR1 mutations in a single assay.

Indexed as

Breast NeoplasmsEstrogen Receptor alphaMultiplex Polymerase Chain ReactionMutationDNA Mutational AnalysisFemaleHumansESR1 protein, humanEstrogen Receptor alphaBreast cancerColor combinationCrystal Digital PCRESR1 mutationsMultiplexing

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.