Evidence map›Paper›PMID 42054463›Full record

ArticleScience advances2026

Genetically engineered human cell-based microrobots for selective cancer cell death.

Nihal Olcay Dogan, Eylül Suadiye, Julia Unangst, Cem Balda Dayan, Gunther Richter, Ahmet Cingöz, Tugba Bagci-Onder, Metin Sitti

Abstract read
In one paragraph

Article in Science advances, 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

8 authors.

Nihal Olcay DoganPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0003-2961-2943
Eylül SuadiyeMaterials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0009-0003-0288-492X
Julia UnangstMaterials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
Cem Balda DayanRobotic Materials Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-6328-7868
Gunther RichterMaterials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0003-3578-8486
Ahmet CingözSchool of Medicine, Koç University, 34450 Istanbul, Turkey.ORCID 0000-0002-1111-7752
Tugba Bagci-OnderSchool of Medicine, Koç University, 34450 Istanbul, Turkey.ORCID 0000-0003-3646-2613
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical microrobots have strong potential for targeted therapeutic delivery; however, current systems achieve only physical targeting, and once at the target site, they are unable to distinguish healthy cells from cancerous ones because of the lack of biological selectivity. Here, we present a biohybrid microrobot system that combines magnetic targeting with biological selectivity. The microrobots are derived from human embryonic kidney cells genetically engineered to produce tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), a molecule that induces cancer cell death in multiple tumor types without damaging healthy cells. Engineered cells are then conjugated to biocompatible magnetic Janus particles-silica beads half-coated with FePt nanofilms-to enable external magnetic control. With magnetic fields, the microrobots accumulate around the tumor spheroids and continuously release TRAIL for several days, leading to selective cancer cell death while avoiding damage to healthy cells. This study combines microrobotics with genetically engineered cell therapies to achieve a targeted, prolonged, and cancer-selective therapeutic delivery.

Indexed as

Genetic EngineeringNeoplasmsRoboticsTNF-Related Apoptosis-Inducing LigandCell DeathCell EngineeringCell Line, TumorDrug Delivery SystemsHEK293 CellsHumansTNF-Related Apoptosis-Inducing Ligand

Identifiers

PMID42054463
PMCPMC13127565

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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.