Novel non-terminal tumor sampling procedure using fine needle aspiration supports immuno-oncology biomarker discovery in preclinical mouse models.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
06 2021
Historique:
accepted: 24 05 2021
entrez: 19 6 2021
pubmed: 20 6 2021
medline: 12 1 2022
Statut: ppublish

Résumé

Immuno-oncology therapies are now part of the standard of care for cancer in many indications. However, durable objective responses remain limited to a subset of patients. As such, there is a critical need to identify biomarkers that can predict or enrich for treatment response. So far, the majority of putative biomarkers consist of features of the tumor microenvironment (TME). However, in preclinical mouse models, the collection of tumor tissue for this type of analysis is a terminal procedure, obviating the ability to directly link potential biomarkers to long-term treatment outcomes. To address this, we developed and validated a novel non-terminal tumor sampling method to enable biopsy of the TME in mouse models based on fine needle aspiration. We show that this technique enables repeated in-life sampling of subcutaneous flank tumors and yields sufficient material to support downstream analyses of tumor-infiltrating immune cells using methods such as flow cytometry and single-cell transcriptomics. Moreover, using this technique we demonstrate that we can link TME biomarkers to treatment response outcomes, which is not possible using the current method of terminal tumor sampling. Thus, this minimally invasive technique is an important refinement for the pharmacodynamic analysis of the TME facilitating paired evaluation of treatment response biomarkers with outcomes and reducing the number of animals used in preclinical research.

Sections du résumé

BACKGROUND
Immuno-oncology therapies are now part of the standard of care for cancer in many indications. However, durable objective responses remain limited to a subset of patients. As such, there is a critical need to identify biomarkers that can predict or enrich for treatment response. So far, the majority of putative biomarkers consist of features of the tumor microenvironment (TME). However, in preclinical mouse models, the collection of tumor tissue for this type of analysis is a terminal procedure, obviating the ability to directly link potential biomarkers to long-term treatment outcomes.
METHODS
To address this, we developed and validated a novel non-terminal tumor sampling method to enable biopsy of the TME in mouse models based on fine needle aspiration.
RESULTS
We show that this technique enables repeated in-life sampling of subcutaneous flank tumors and yields sufficient material to support downstream analyses of tumor-infiltrating immune cells using methods such as flow cytometry and single-cell transcriptomics. Moreover, using this technique we demonstrate that we can link TME biomarkers to treatment response outcomes, which is not possible using the current method of terminal tumor sampling.
CONCLUSION
Thus, this minimally invasive technique is an important refinement for the pharmacodynamic analysis of the TME facilitating paired evaluation of treatment response biomarkers with outcomes and reducing the number of animals used in preclinical research.

Identifiants

pubmed: 34145033
pii: jitc-2021-002894
doi: 10.1136/jitc-2021-002894
pmc: PMC8215240
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors were employees of and shareholders in AstraZeneca at the time of the study.

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Auteurs

Suzanne Isabelle Sitnikova (SI)

AstraZeneca, Cambridge, UK suzanne.sitnikova@astrazeneca.com.

Sophie Munnings-Tomes (S)

AstraZeneca, Cambridge, UK.

Elena Galvani (E)

AstraZeneca, Cambridge, UK.

Stacy Kentner (S)

AstraZeneca, Gaithersburg, Maryland, USA.

Kathy Mulgrew (K)

AstraZeneca, Gaithersburg, Maryland, USA.

Chris Rands (C)

AstraZeneca, Cambridge, UK.

Judit España Agustí (J)

AstraZeneca, Cambridge, UK.

Tianhui Zhang (T)

AstraZeneca, Gaithersburg, Maryland, USA.

Kristina M Ilieva (KM)

AstraZeneca, Cambridge, UK.

Guglielmo Rosignoli (G)

AstraZeneca, Cambridge, UK.

Hormas Ghadially (H)

AstraZeneca, Cambridge, UK.

Matthew J Robinson (MJ)

AstraZeneca, Cambridge, UK.

Tim Slidel (T)

AstraZeneca, Cambridge, UK.

Robert W Wilkinson (RW)

AstraZeneca, Cambridge, UK.

Simon J Dovedi (SJ)

AstraZeneca, Cambridge, UK.

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Classifications MeSH