Evidence map›Paper›PMID 41245785›Full record

ArticleResearch in pharmaceutical sciences2025

Free-floating patient-derived organotypic tumor spheroids (PDOTS) from non-small cell lung cancer (NSCLC) tumors: a versatile tool for personalized testing of chemotherapeutic drugs.

Lilian Ismail, Komal Zahid, Anna Polyanskaya, Aya Al Othman, Ningfei Shen, Xiaoli Qi, Rushan Sulimanov, Yuri Esakov, Vladimir Makarov, Gleb Filkov and 3 more

Abstract read
In one paragraph

Article in Research in pharmaceutical sciences, 2025. 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
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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

13 authors.

Lilian IsmailMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Komal ZahidMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Anna PolyanskayaMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Aya Al OthmanMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Ningfei ShenMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Xiaoli QiMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Rushan SulimanovMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Yuri EsakovMoscow State Budgetary Healthcare Institution "Moscow City Oncological Hospital No. 1", Moscow Healthcare Department, Moscow, Russia.
Vladimir MakarovMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Gleb FilkovMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Alexander TrofimenkoMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Alexandre MezentsevMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.
Mikhail DurymanovMedical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Patient-derived tumor 3D multicellular cultures are a novel non-small cell lung cancer (NSCLC) model for studying tumor biology and precision medicine, which recapitulates tumor morphology and gene expression profile. However, practical application is challenged by issues such as low establishment rates, long-term production difficulties, and the absence of immune microenvironment components. To address these issues, this study aimed to evaluate the efficacy of a novel method for generating free-floating patient-derived organotypic tumor spheroids (PDOTS) using a stimuli-responsive extracellular matrix (ECM)-mimicking gel. Experimental approach: Free-floating PDOTS were established from 18 NSCLC tumors and characterized by their morphology, marker expression, and extracellular matrix composition. Cell composition in PDOTS and their parental tumors was analyzed by flow cytometry, while RT-PCR was used to assess the expression of genes encoding signaling molecules. Finally, drug response and the expression of drug resistance genes were evaluated in the NSCLC PDOTS. Findings/Results: The PDOTS were successfully generated with a success rate exceeding 90%, forming spheroids within one week. These PDOTS preserved the parental tumor's morphology and included stromal and immune cells. Notably, 58% of the PDOTS maintained cytokine and growth factor expression profiles closely mimicked those of the original tumors. Furthermore, the PDOTS demonstrated varied responses to anticancer drugs, potentially influenced by differential expression of drug resistance-associated genes. Conclusion and implications: The high establishment rate and rapid production timeline of free-floating PDOTS using a stimuli-responsive ECM-mimicking gel make this approach a promising tool for advancing cancer biology research and evaluating therapeutic strategies with greater accuracy.

Indexed as

CytokineDrug resistanceNon-small cell lung cancerPatient-derived organotypic tumor spheroidsPersonalized medicine

Identifiers

PMID41245785
PMCPMC12614207

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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.