Evidence map›Paper›PMID 39847282›Full record

ArticleAnnals of surgical oncology2025

High-Throughput Chemotherapeutic Drug Screening System for Gastric Cancer (Cure-GA).

Jieun Lee, In Hee Kim, Donghyeok Seol, Sangjun Lee, Mira Yoo, Tae-Kyeong Lee, So Hee Yoon, Eunju Lee, Duyeong Hwang, So Hyun Kang and 13 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

23 authors.

Jieun Lee *Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
In Hee Kim *Department of Precision Medicine, Medical and Bio Decision (MBD Co., Ltd), Suwon, Republic of Korea.
Donghyeok SeolDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sangjun LeeDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Mira YooDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Tae-Kyeong LeeDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
So Hee YoonDepartment of Precision Medicine, Medical and Bio Decision (MBD Co., Ltd), Suwon, Republic of Korea.
Eunju LeeDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Duyeong HwangDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
So Hyun KangDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Young Suk ParkDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Bosung KuDepartment of Precision Medicine, Medical and Bio Decision (MBD Co., Ltd), Suwon, Republic of Korea.
Sang Youl JeonDepartment of Precision Medicine, Medical and Bio Decision (MBD Co., Ltd), Suwon, Republic of Korea.
Yongmun ChoiDepartment of Precision Medicine, Medical and Bio Decision (MBD Co., Ltd), Suwon, Republic of Korea.
Keehoon JungDepartment of Anatomy and Cell Biology / Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ji-Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jin Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sang-Hoon AhnDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Keun-Wook LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyung-Ho KimDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyeon Jeong OhDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. biohjoh212@gmail.com.
Dong Woo LeeDepartment of Biomedical Engineering, Gachon University, Seongnam, Republic of Korea. dw2010.lee@gmail.com.
Yun-Suhk SuhDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. ysksuh@snubh.org.

Funding

College of Medicine, Seoul National University 800-20200461Korea Health Industry Development Institute RS-2024-00411999Ministry of Science and ICT, South Korea NIDS:1711198540National Research Foundation of Korea NRF-2020R1C1C1009225Seoul National University Bundang Hospital Research Fund 06-2020-0110Seoul National University Bundang Hospital Research Fund 2019-00707
6 · The paper itself

Abstract

backgroundThree dimensional (3D) cell cultures can be effectively used for drug discovery and development but there are still challenges in their general application to high-throughput screening. In this study, we developed a novel high-throughput chemotherapeutic 3D drug screening system for gastric cancer, named 'Cure-GA', to discover clinically applicable anticancer drugs and predict therapeutic responses.

methodsPrimary cancer cells were isolated from 143 fresh surgical specimens by enzymatic treatment. Cell-Matrigel mixtures were automatically printed onto the micropillar surface then stabilized in an optimal culture medium for 3 days to form tumoroids. These tumoroids were exposed in the drug-containing media for 7 days. Cell viability was measured by fluorescence imaging and adenosine triphosphate assays. On average, 0.31 ± 0.23 g of fresh tumor tissue yielded 4.05×10

resultsDrug response results were successfully acquired from 103 gastric cancer tissues (success rate = 72%) within 13 ± 2 days, averaging 6.4 ± 2.7 results per sample. Pearson correlation analysis showed viable cell numbers significantly impacted drug data acquisition (p < 0.00001). Tumoroids retained immunohistochemical characteristics, mutation signatures, and gene expression consistent with primary tumors. Drug reactivity data enabled prediction of synergistic drug correlations. Additionally, a multiparameter index-based prognosis model for patients undergoing gastrectomy followed by adjuvant XELOX was developed, showing significant differences in 1-year recurrence-free survival rates between drug responders and non-responders (p < 0.0001).

conclusionsThe Cure-GA platform enables rapid evaluation of chemotherapeutic responses using patient-derived tumoroids, providing clinicians with crucial insights for personalized treatment strategies and improving therapeutic outcomes.

Indexed as

Antineoplastic AgentsCell Culture Techniques, Three DimensionalHigh-Throughput Screening AssaysStomach NeoplasmsCell SurvivalDrug Screening Assays, AntitumorFemaleHumansMaleMiddle AgedPrognosisTumor Cells, CulturedAntineoplastic AgentsDrug response predictionGastric cancerHigh-throughput screening (HTS)Multiparameter index (MPI)Patient-derived cancer cellTumoroids

Identifiers

PMID39847282
PMCPMC11976768

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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.