Evidence map›Paper›PMID 42157225›Full record

ReviewMolecular cancer2026

Advanced 3D cancer models for analyzing tumor-immune cell interaction and therapeutic response.

Sree Priyanka Jeevanandan, Eileen Reidy, Julien Clegg, Rodrigo Curvello, Aideen E Ryan, Daniela Loessner

Abstract readReview
In one paragraph

Review in Molecular cancer, 2026. 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. Article
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.

Sree Priyanka JeevanandanDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Australia.
Eileen ReidyDiscipline of Advanced Therapies and Discipline of Pharmacology and Therapeutics, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
Julien CleggDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Australia.
Rodrigo CurvelloDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Australia.
Aideen E RyanDiscipline of Advanced Therapies and Discipline of Pharmacology and Therapeutics, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
Daniela LoessnerDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Australia. daniela.loessner@monash.edu.

Funding

Horizon 2020 Framework Programme 864253National Health and Medical Research Council 2020911
6 · The paper itself

Abstract

Immunotherapy is transforming the treatment of cancer by activating and directing a patient's own immune response to target tumor cells. In solid tumors, however, there has been limited success in sustaining anti-tumor immune responses. This is attributed to the intrinsic features of the tumor microenvironment, including the lack of infiltrating immune cells and varying expression of tumor antigens, forming an immunosuppressive landscape. Despite recent advances, we do not fully understand how the immune components of the tumor microenvironment are linked to ineffective treatment outcomes. Advanced 3D cancer models offer a platform to deconstruct tumor tissues and study disease progression and resistance to treatment, helping to uncover drivers of immune evasion in a physiologically relevant context. Here, we discuss aspects of the tumor immune microenvironment in selected solid tumors defined by distinct immunosuppressive features that dictate response to immunotherapy. We highlight how advanced 3D cancer models accelerate the development and screening of therapeutic strategies that target the immunosuppressive microenvironment.

Indexed as

Cell CommunicationModels, BiologicalNeoplasmsTumor MicroenvironmentAnimalsHumansImmunotherapy3D cancer modelsImmunosuppressionImmunotherapySolid tumorsTumor microenvironment

Identifiers

PMID42157225
PMCPMC13188272

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.