Evidence map›Paper›PMID 42438683›Full record

ArticleMolecular therapy. Oncology2026

Dissecting residual disease in spheroids reveals pan-cancer persistence signatures and a therapeutic window for oncolytic viruses.

Clara Fauveau, Emily Lawendy, Jules Deforges, Sandrine Cochin, Baptiste Moreau, Jean-Marc Balloul, Philippe Erbs, Shreyansh Jain, Gilles Laverny, PERSIST-SEQ Consortium

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 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
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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

10 authors.

Clara FauveauTransgene, 67400 Illkirch-Graffenstaden, France.
Emily LawendyTransgene, 67400 Illkirch-Graffenstaden, France.
Jules DeforgesTransgene, 67400 Illkirch-Graffenstaden, France.
Sandrine CochinTransgene, 67400 Illkirch-Graffenstaden, France.
Baptiste MoreauTransgene, 67400 Illkirch-Graffenstaden, France.
Jean-Marc BalloulTransgene, 67400 Illkirch-Graffenstaden, France.
Philippe ErbsTransgene, 67400 Illkirch-Graffenstaden, France.
Shreyansh JainTransgene, 67400 Illkirch-Graffenstaden, France.
Gilles LavernyInstitute of Genetics and Molecular and Cellular Biology (IGBMC), 67404 Illkirch-Graffenstaden, France.
PERSIST-SEQ Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug resistance remains a major burden in clinical care, often emerging from a subpopulation of cells in a drug-tolerant state. In this study, we aimed to characterize the transcriptional features of persistent non-small cell lung cancer (NSCLC) cells following cisplatin-pemetrexed chemotherapy and explore the therapeutic potency of oncolytic viruses to eliminate these cells. We established a 3D spheroid model of NSCLC and applied long-term chemotherapy to induce a reversible, non-proliferative persistent state associated with lower sensitivity to treatment. Single-cell RNA sequencing coupled with comparative analysis of multiple human datasets sheds light on a core transcriptional signature of persistence. This signature was enriched in patient-derived minimal residual disease (MRD) datasets, highlighting the clinical relevance of persistent preclinical models. Furthermore, transcriptomic analyses suggested a vulnerability of persister cells to oncolytic viruses, a finding validated in spheroid and patient-derived organoids. Altogether, these results define a conserved persistence signature and support the use of virotherapy as a promising option to target MRD.

Indexed as

chemotherapynon-small cell lung canceroncologyoncolytic virusespersistencesingle-cell RNA-seqspheroid

Identifiers

PMID42438683
PMCPMC13356641

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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.