Evidence map›Paper›PMID 39233539›Full record

ArticleAdvanced healthcare materials2024

Fibrosis-Encapsulated Tumoroid, A Solid Cancer Assembloid Model for Cancer Research and Drug Screening.

Yeonsue Jang, Suki Kang, Hyunho Han, Chang Moo Kang, Nam Hoon Cho, Baek Gil Kim

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

6 authors.

Yeonsue JangDepartment of Urological Science Institute, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Suki KangDepartment of Pathology, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Hyunho HanDepartment of Urological Science Institute, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Chang Moo KangDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Nam Hoon ChoDepartment of Pathology, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Baek Gil KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.ORCID 0000-0001-6270-1433

Funding

Korea Health Industry Development Institute HI21C0977Korea Health Industry Development Institute HI22C1186Ministry of Education of the Republic of KoreaNational Research Foundation of Korea 2021R1I1A1A01042938National Research Foundation of Korea 2022R1A2C1006398
6 · The paper itself

Abstract

Peritumoral fibrosis is known to promote cancer progression and confer treatment resistance in various solid tumors. Consequently, developing accurate cancer research and drug screening models that replicate the structure and function of a fibrosis-surrounded tumor mass is imperative. Previous studies have shown that self-assembly three-dimensional (3D) co-cultures primarily produce cancer-encapsulated fibrosis or maintain a fibrosis-encapsulated tumor mass for a short period, which is inadequate to replicate the function of fibrosis, particularly as a physical barrier. To address this limitation, a multi-layer spheroid formation method is developed to create a fibrosis-encapsulated tumoroid (FET) structure that maintains structural stability for up to 14 days. FETs exhibited faster tumor growth, higher expression of immunosuppressive cytokines, and equal or greater resistance to anticancer drugs compared to their parental tumoroids. Additionally, FETs serve as a versatile model for traditional cancer research, enabling the study of exosomal miRNA and gene functions, as well as for mechanobiology research when combined with alginate hydrogel. Our findings suggest that the FET represents an advanced model that more accurately mimics solid cancer tissue with peritumoral fibrosis. It may show potential superiority over self-assembly-based 3D co-cultures for cancer research and drug screening, and holds promise for personalized drug selection in cancer treatment.

Indexed as

FibrosisNeoplasmsAnimalsAntineoplastic AgentsCell Line, TumorCoculture TechniquesDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHumansHydrogelsMiceMicroRNAsSpheroids, CellularAntineoplastic AgentsHydrogelsMicroRNAsassembloidcancer‐associated fibroblast(peritumoral) fibrosissolid cancer

Identifiers

PMID39233539
PMCPMC11650424

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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.