Evidence map›Paper›PMID 41984441›Full record

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

Mechanically Triggered DNA Nanovehicles for Targeted Dual-Drug Cancer Therapy.

Murali Mohana Rao Singuru, Priyanka Bhattacharyya, Mingxu You

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

3 authors.

Murali Mohana Rao SinguruDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6623-8335
Priyanka BhattacharyyaDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Mingxu YouDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3293-9760

Funding

Defining Mechanical Landscapes at Cell-Cell JunctionsR35GM133507 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Mingxu You · 2019 to 2026
$2.8M
Camille Dreyfus Teacher-Scholar AwardNational Science Foundation 2425057NIGMS NIH HHS R35GM133507
6 · The paper itself

Abstract

Stimuli-responsive dual-drug delivery systems enable precise therapeutic control by co-releasing multiple agents, enhancing synergy while reducing dosage and side effects. Mechanical dysregulation is a hallmark of various diseases, yet force-responsive platforms remain rare. Here, we introduce a DNA-based mechanical nanovehicle that releases two anticancer drugs-TMPyP4 and doxorubicin-in response to tensile forces generated by integrin receptors at cell-cell junctions. The cholesterol-modified DNA constructs anchor to the cell membrane and undergoes force-induced structural changes, triggering rapid drug release under defined mechanical conditions. Our studies demonstrated selective activation in HeLa and MCF-7 cancer cells, achieving potent cytotoxicity while minimizing off-target effects in low-tension HEK293T cells. This modular platform integrates mechanosensing, real-time force visualization, and targeted therapy, establishing a new class of mechanoresponsive dual-drug delivery systems for safer and more effective cancer treatments.

Indexed as

Antineoplastic AgentsDNADoxorubicinDrug Delivery SystemsNeoplasmsDNA NanostructuresHeLa CellsHumansMCF-7 CellsAntineoplastic AgentsDNADoxorubicinDNA nanovehicledual‐drug deliveryintegrin‐mediated forcesintercellular forcestargeted cancer therapy

Identifiers

PMID41984441
PMCPMC13335000

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.