Evidence map›Paper›PMID 41173800›Full record

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

Aptamer-Engineered Ellipsometry for Clinical Detection of BALF-Derived Exosomes: Multi-Level Engineering for Prognostic Evaluation of Immunotherapy Responses.

Euna Jeong, Jung Hyun Choi, Minyoung Lee, Jun Hyeok Lim, Seokho Jung, Yeeun Woo, Joo-Young Kim, Jaehyeon Ok, Lucia Kim, Woo-Jin Jeong and 6 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. 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. Review
  2. Article
  3. Article
  4. 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

16 authors.

Euna JeongDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Jung Hyun ChoiDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Minyoung LeeDepartment of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Jun Hyeok LimDivision of Pulmonology, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, 22332, Republic of Korea.
Seokho JungDepartment of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Yeeun WooDepartment of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Joo-Young KimDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Jaehyeon OkDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Lucia KimDepartment of Pathology, Inha University Hospital, Inha University College of Medicine, Incheon, 22332, Republic of Korea.
Woo-Jin JeongDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Won ChegalStrategic Technology Research Institute, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Hyun Mo ChoDivision of Biomedical Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Chulhwan ParkDepartment of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Jiyoon BuDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.ORCID https://orcid.org/0000-0002-0153-5109
Dong Hyung KimDivision of Biomedical Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Taek LeeDepartment of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.ORCID https://orcid.org/0000-0003-4158-130X

Funding

Korea Health Industry Development Institute RS-2024-00512449Korean Fund for Regenerative Medicine RS-2024-00333403Korea Research Institute of Standards and Science KRISS-2025-GP2025-0007Korea Technology & Information Promotion Agency for SMEs RS-2025-02308803Korea Technology & Information Promotion Agency for SMEs RS-2025-02311923Korea Technology & Information Promotion Agency for SMEs RS-2025-02308803Korea Technology & Information Promotion Agency for SMEs RS-2025-02311923Materials & Components Technology Development Program RS-2024-00507931Materials & Components Technology Development Program RS-2024-00507931Ministry of Science and ICT RS-2024-00416117Ministry of Science and ICT RS-2025-02220097Ministry of Trade Industry & Energy(MOTIE, Korea)Ministry of Trade Industry & Energy(MOTIE, Korea)National Research Council of Science and Technology CRC22023-000National Research Council of Science and Technology GTL24021-000National Research Foundation of Korea (NRF) 2021R1C1C1005583
6 · The paper itself

Abstract

Exosomes emerges as indicators of the tumor microenvironment, yet their predictive utility for immunotherapy responses is limited by the insufficient sensitivity and specificity of currently available assays. Here, a multi-level engineering strategy is presented that enables accurate exosome-based prediction of immunotherapy responses by integrating systematic aptamer ligand tailoring, ultrasensitive ellipsometry-based sensing, and clinically relevant tumor-proximal fluid sampling. Aptamers specifically targeting PD-L1 are identified through systematic evolution of ligands by exponential enrichment (SELEX), followed by truncation and computational sequence refinement to enhance binding specificity. The optimized aptamer sequence (Tr-Apt13) is validated from molecular interaction analyses to in vitro assays, demonstrating superior target binding efficacy over conventional antibodies, attributed to dense surface immobilization and multivalent binding capability. When incorporated into an ellipsometry-based dual-prism solution-immersed silicon sensor, Tr-Apt13 enabled ultrasensitive detection of PD-L1-expressing exosomes with a detection limit of ≈9.8 particles mL

Indexed as

Aptamers, NucleotideBronchoalveolar Lavage FluidExosomesImmunotherapyLung NeoplasmsB7-H1 AntigenHumansPrognosisSELEX Aptamer TechniqueTumor MicroenvironmentAptamers, NucleotideB7-H1 AntigenCD274 protein, humanaptamer truncationbronchoalveolar lavage fluidellipsometry‐based solution immersed silicon biosensorimmunotherapy response predictionPD‐L1‐expressing exosome detection

Identifiers

PMID41173800
PMCPMC12806343

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.