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Record W4417290547 · doi:10.1002/adhm.202504669

A Biomimetic Buffering Hydrogel Scaffold for Long‐Term Culture of Patient‐Derived Tumor Organoids

2025· article· en· W4417290547 on OpenAlexafffund
Elizaveta A. Gusarova, Fatemeh Ahmadi, Jennifer Cruickshank, Zheyuan Miao

Bibliographic record

VenueAdvanced Healthcare Materials · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrganoidScaffoldIn vivoSelf-healing hydrogelsCancer cellIn vitroCancer

Abstract

fetched live from OpenAlex

Patient-derived cancer organoids have emerged as a promising in vitro model for fundamental cancer research and drug screening for therapeutic cancer treatment. Yet, while the inherent acidification of the tumor environment in vivo is controlled at a particular level, hydrogel scaffolds used for organoid culture lack this ability and their pH falls outside the physiologically relevant range. The excessive acidification can also lead to the degradation of pH-sensitive hydrogel scaffolds during long-term organoid culture, thus changing the mechanical properties of the organoid microenvironment. Here, we report a biomimetic fibrous hydrogel with built-in buffering capacity, which enables control of the local acidification of the organoid environment to maintain its mechanical and structural stability. The hydrogel is formed from aldehyde-functionalized cellulose nanocrystals carrying histidine buffering molecules, and gelatin. During long-term organoid culture, the hydrogel maintained the pH in the physiologically relevant range, while maintaining network integrity and mechanical properties. The organoids grown in this hydrogel exhibited enhanced proliferative activity of cancer cells, thus reflecting a more homeostatic tumor-like niche. This work shows that introducing a buffering functionality into the hydrogel scaffold enables significantly improved support for long-term culture of patient-derived breast cancer organoids under physiologically relevant conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.318
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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