Evidence map›Paper›PMID 42523056›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Concerted Action of Targeted Nucleic Acid Therapeutics as Flexible, Precision and Personalized Cancer Treatment.

Jing Wu, Jiaxuan Chen, Abdechakour Elkihel, Wenjun Lan, Nicolas Fraunhoffer, Dandan Zhu, Baoping Lian, Christina Galanakou, Zhancun Bian, Xi Liu and 9 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

19 authors.

Jing WuAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Jiaxuan ChenAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Abdechakour ElkihelAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Wenjun LanAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Nicolas FraunhofferAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Dandan ZhuState Key Laboratory of Natural Medicines, Joint International Research Laboratory of Target Discovery and New Drug Innovation (Ministry of Education), Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing, China.
Baoping LianState Key Laboratory of Natural Medicines, Joint International Research Laboratory of Target Discovery and New Drug Innovation (Ministry of Education), Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing, China.
Christina GalanakouAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Zhancun BianAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Xi LiuAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Odile GayetAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Loic MoubriAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Julie Aglietti RoquesAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Vikash ReebyeMiNA Therapeutics Ltd, Translation & Innovation Hub, London, UK.
Nagy HabibDepartment of Surgery and Cancer, Hammersmith Hospital, Imperial College London, London, UK.
Xiaoxuan LiuState Key Laboratory of Natural Medicines, Joint International Research Laboratory of Target Discovery and New Drug Innovation (Ministry of Education), Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing, China.
Nelson DusettiAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Juan Lucio IovannaAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Ling PengAix Marseille University, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), UMR 7325, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.

Funding

China Scholarship CouncilEurope Marie Skłodowska-Curie Innovative Training Network OLIGOMEDEurope Research and Innovation program Cancer MissionNational Key Research & Development Program of China
6 · The paper itself

Abstract

Nucleic acid therapeutics offer unique opportunities to develop personalized precision therapies by responding specifically and effectively at the gene level to evolving pathogens. However, many nucleic acid drugs employ a single-target strategy, which is effective in monogenic disorders, yet can be ineffective in treating diseases characterized by complex and interacting molecular events. Nucleic acid combinations capable of simultaneously modulating multiple pathways and harnessing concerted effects constitute a promising approach to combatting complex, dynamically evolving and heterogeneous diseases. Here, we report a combination strategy utilizing small activating RNA to activate tumor suppressor genes alongside small interfering RNA to silence oncogenes for therapeutic potential and clinical relevance in cancer treatment using patient-derived tumor models of pancreatic cancer. Transcriptomic and proteomic profiling of individual patient tumors enabled rational design of patient-specific combinations, which exhibited superior anticancer efficacy through coordinated regulation of multiple genes. Importantly, diverse combinations were tailored to individual patient tumor models to elicit therapeutic responses, while certain specific combinations demonstrated therapeutic efficacy across different tumor models that shared similar genetic features, highlighting the flexibility and pan-treatment potential. Our findings not only confirm the efficacy of the combination approach for cancer treatment, but also underscore its potential applicability to other complex malignancies.

Indexed as

dendrimer nanovectoroncogene targetingpancreatic cancersmall activating RNAsmall interfering RNAtumor suppressor activation

Identifiers

PMID42523056
PMCPMC13418047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.