Evidence map›Paper›PMID 33830275›Full record

ReviewCancer immunology, immunotherapy : CII2021

Modeling human tumor-immune environments in vivo for the preclinical assessment of immunotherapies.

Bethany Bareham, Nikitas Georgakopoulos, Alba Matas-Céspedes, Michelle Curran, Kourosh Saeb-Parsy

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

38 citing papers in PubMed, 60 citations in OpenAlex.

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  20. Mesothelin CAR T Cells Secreting Anti-FAP/Anti-CD3 Molecules Efficiently Target Pancreatic Adenocarcinoma and its Stroma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    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

5 authors at 1 institution in 3 countries.

Bethany BarehamDepartment of Surgery, University of Cambridge and NIHR Cambridge Biomedical Campus, Cambridge, UK.ORCID http://orcid.org/0000-0003-1892-8256
Nikitas GeorgakopoulosDepartment of Surgery, University of Cambridge and NIHR Cambridge Biomedical Campus, Cambridge, UK.
Alba Matas-CéspedesDepartment of Surgery, University of Cambridge and NIHR Cambridge Biomedical Campus, Cambridge, UK.
Michelle CurranDepartment of Surgery, University of Cambridge and NIHR Cambridge Biomedical Campus, Cambridge, UK.
Kourosh Saeb-ParsyDepartment of Surgery, University of Cambridge and NIHR Cambridge Biomedical Campus, Cambridge, UK. ks10014@cam.ac.uk.
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the significant contributions of immunocompetent mouse models to the development and assessment of cancer immunotherapies, they inadequately represent the genetic and biological complexity of corresponding human cancers. Immunocompromised mice reconstituted with a human immune system (HIS) and engrafted with patient-derived tumor xenografts are a promising novel preclinical model for the study of human tumor-immune interactions. Whilst overcoming limitations of immunocompetent models, HIS-tumor models often rely on reconstitution with allogeneic immune cells, making it difficult to distinguish between anti-tumor and alloantigen responses. Models that comprise of autologous human tumor and human immune cells provide a platform that is more representative of the patient immune-tumor interaction. However, limited access to autologous tissues, short experimental windows, and poor retention of tumor microenvironment and tumor infiltrating lymphocyte components are major challenges affecting the establishment and application of autologous models. This review outlines existing preclinical murine models for the study of immuno-oncology, and highlights innovations that can be applied to improve the feasibility and efficacy of autologous models.

Indexed as

AnimalsDisease Models, AnimalHumansImmunotherapyMiceRisk AssessmentTumor MicroenvironmentAnimal modelsAutologous modelsCancerImmune-systemImmunotherapiesPreclinical Safety-assessment/risk management

Identifiers

PMID33830275
PMCPMC8423639
OpenAlexW3146539920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.