Evidence map›Paper›PMID 42092978›Full record

SynthesisJournal of translational medicine2026

Modeling metastasis and predicting drug response with malignant effusion-derived organoids: a systematic review and quantitative assessment.

Jingyu Peng, Shuting Tian, Li Liu, Yifang Deng

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of translational medicine, 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

4 authors.

Jingyu PengChina State Institute of Pharmaceutical Industry, Shanghai, 201203, China.
Shuting TianChina State Institute of Pharmaceutical Industry, Shanghai, 201203, China.
Li LiuNational Key Laboratory of Lead Druggability, Shanghai Institute of Pharmaceutical Industry, Shanghai, 200437, China.
Yifang DengChina State Institute of Pharmaceutical Industry, Shanghai, 201203, China. dengyifang_dyf@163.com.ORCID 0009-0001-7703-5346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant effusions provide a critical window into metastatic biology. Malignant effusion-derived organoids (ME-PDTOs) hold promise for modeling metastasis and predicting drug response, but the evidence remains fragmented. This systematic review aims to synthesize current evidence on the validity of ME-PDTOs as metastasis models and their concordance with clinical drug responses.

methodsWe systematically reviewed literature from the past 15 years in strict accordance with PRISMA 2020 guidelines for study identification and selection. Data on genetic, transcriptional, functional, and clinical correlation were extracted. Given sample size limitations and heterogeneity, a descriptive, study-level analysis was performed. Predictive performance (sensitivity, specificity) was calculated with 95% confidence intervals using multiple methods.

resultsSixteen studies (87 ME-PDTOs from 84 patients) were included. ME-PDTOs retained key driver mutations and displayed transcriptomic enrichment of epithelial-mesenchymal transition and stemness pathways. Functionally, they demonstrated migratory, invasive, and in vivo metastatic capacity. For drug response, six studies provided 77 drug-patient pairs (predominantly lung cancer, 89.6%). In the two largest lung cancer studies, ME-PDTO sensitivity for predicting clinical efficacy ranged from 0.82 to 0.90, and specificity from 0.80 to 1.00, though confidence intervals were wide in smaller studies.

conclusionCurrent evidence suggests that ME-PDTOs can recapitulate key metastatic features and show a promising correlative trend with clinical drug responses in lung cancer. However, significant limitations exist: evidence is limited, heterogeneous, and subject to selection and measurement biases. Future standardized, prospective studies are needed to validate their clinical predictive utility and address translational challenges. TRIAL REGISTRATION REGISTRATION NUMBER (PROSPERO): CRD420251107909.

Indexed as

Antineoplastic AgentsModels, BiologicalOrganoidsPleural Effusion, MalignantHumansNeoplasm MetastasisTreatment OutcomeAntineoplastic AgentsIntratumoral heterogeneityMalignant effusionsPatient-derived organoidsPersonalized medicineTumor metastasis

Identifiers

PMID42092978
PMCPMC13154882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.