Evidence map›Paper›PMID 40954236›Full record

ReviewNature reviews. Drug discovery2026

Microsystem technologies for accelerating the discovery and translation of immunotherapies.

Zongjie Wang, Claire Liu, Kangfu Chen, Joseph Song, Shana O Kelley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A self-supplying HMaterials today. Bio · 2026
    Article
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.

Zongjie Wang *Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.ORCID 0000-0001-9900-7197
Claire Liu *Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.ORCID 0000-0003-4308-389X
Kangfu Chen *Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.ORCID 0000-0002-5077-2223
Joseph Song *Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.ORCID 0000-0002-3506-6080
Shana O KelleyChan Zuckerberg Biohub Chicago, Chicago, IL, USA. shana.kelley@northwestern.edu.ORCID 0000-0003-3360-5359

Funding

Development of Next-Generation Blood-to-barcode (B2B) chip for In Vivo CRISPR-Based Discovery of Metastasis RegulatorsR01CA277507 · NCI · NORTHWESTERN UNIVERSITY · PI Shana O Kelley · 2023 to 2026
$2.5M
NCI NIH HHS R01 CA277507
6 · The paper itself

Abstract

Immunotherapies have transformed the treatment of many cancers and autoimmune diseases. However, durable therapeutic benefits are achieved in only certain subsets of patients. Due to the complexity and heterogeneity of disease, it remains challenging to design effective immunotherapies and predict their effects. Microscale systems - including microfluidics, microelectronics and microscaffolds - are now being adapted to accelerate immunotherapy discovery and development, with the potential to address efficacy, toxicity, predictability and affordability challenges. These microsystems consist of miniaturized structures, sensors and actuators that can manipulate molecules and cells of the immune system with high accuracy and throughput. Advances facilitated by microsystem technologies relevant to the discovery and translation of key types of immunotherapy (monoclonal antibodies, cytokine-based drugs, engineered immune cells and therapeutic vaccines) include the development of high-throughput devices for functional selection, miniaturized bioreactors for biomanufacturing, engineered scaffolds for therapeutic administration and sensitive biosensors for immune surveillance post-administration. Challenges facing the clinical translation of microsystem-based immunotherapies include issues related to standardization and integration as well as the need for new regulatory guidance.

Indexed as

Drug DiscoveryImmunotherapyAnimalsHumansMicrofluidicsNeoplasmsTranslational Research, Biomedical

Identifiers

What OpenQuestion holds

Textmetadata
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.