Evidence map›Paper›PMID 40019006›Full record

ArticleDisease models & mechanisms2025

Use of metabolic imaging to monitor heterogeneity of tumour response following therapeutic mTORC1/2 pathway inhibition.

Stephanie Ling, Alex Dexter, Alan M Race, Shreya Sharma, Gregory Hamm, Urszula M Polanska, Rosetta Consortium Cancer Research UK, John F Marshall, Zoltan Takats, Kevin Brindle and 7 more

Abstract read
In one paragraph

Article in Disease models & mechanisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

17 authors.

Stephanie LingImaging and Data Analytics, AstraZeneca, Cambridge CB2 0AA, UK.
Alex DexterNational Physical Laboratory, Teddington TW11 0LA, UK.
Alan M RaceNational Physical Laboratory, Teddington TW11 0LA, UK.
Shreya SharmaNational Physical Laboratory, Teddington TW11 0LA, UK.
Gregory HammImaging and Data Analytics, AstraZeneca, Cambridge CB2 0AA, UK.
Urszula M PolanskaEarly Oncology, AstraZeneca, Cambridge CB2 0AA, UK.
Rosetta Consortium Cancer Research UK
John F MarshallBarts Cancer Institute, London EC1M 6AU, UK.ORCID 0000-0002-0494-2295
Zoltan TakatsImperial College London, London SW7 2AZ, UK.
Kevin BrindleThe Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0QS, UK.
Mariia O YunevaFrancis Crick Institute, London NW1 1AT, UK.
George PoulogiannisInstitute of Cancer Research, London SW3 6JB, UK.
Andrew D CampbellCRUK Scotland Institute, Glasgow G61 1BD, UK.ORCID 0000-0003-3930-1276
Owen J SansomCRUK Scotland Institute, Glasgow G61 1BD, UK.
Richard J A GoodwinImaging and Data Analytics, AstraZeneca, Cambridge CB2 0AA, UK.
Josephine BunchNational Physical Laboratory, Teddington TW11 0LA, UK.
Simon T BarryEarly Oncology, AstraZeneca, Cambridge CB2 0AA, UK.ORCID 0000-0002-8511-0588

Funding

AstraZenecaCancer Research UK C57633/A25043
6 · The paper itself

Abstract

The PI3K-mTOR-AKT pathway regulates tumour proliferation, gene expression and metabolism, but pathway inhibition induces heterogeneous feedback reactivation, limiting anti-tumour responses. Measuring heterogeneity of pathway inhibition in tissues using protein biomarker phosphorylation or location is challenging. An integrated multi-modal imaging workflow was developed to assess the heterogeneity of AZD2014 (mTORC1/2 inhibitor) response in a PTEN-null renal cancer model. Spatial responses of metabolite biomarkers were analysed by mass spectrometry imaging (MSI). Control and treated tumours were classified according to metabolite-defined regions enriched in control versus AZD2014-treated tumours, respectively. Noticeably, AZD2014-treated tumours retained regions similar to regions dominant in untreated tumours. Imaging mass cytometry analysis of protein biomarkers in 'control-like' regions following AZD2014 treatment showed reduced phospho-S6, indicating suppression, but retained high expression of the glucose transporter GLUT1. Increasing PI3K-AKT inhibition by combining with AZD8186 (PI3Kβ inhibitor) further decreased the control-like metabolic signature, showing PI3K-dependent resistance. This demonstrates that MSI-based workflows yield novel insights into the pharmacodynamic effects of mTORC1/2 inhibition in tumours, which classical biomarkers do not resolve. Coupling these workflows with spatial-omics approaches can deliver greater insights into heterogeneity of treatment response.

Indexed as

Mechanistic Target of Rapamycin Complex 1Mechanistic Target of Rapamycin Complex 2NeoplasmsSignal TransductionAnimalsBenzamidesBiomarkers, TumorCell Line, TumorHumansMiceMorpholinesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPyrimidinesBenzamidesBiomarkers, TumorMechanistic Target of Rapamycin Complex 1Mechanistic Target of Rapamycin Complex 2MorpholinesPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPyrimidinesvistusertibAKTImaging mass cytometryMass spectrometry imagingmTORPharmacodynamicPI3KSpatial multi-omics

Identifiers

PMID40019006
PMCPMC11892681

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Registered trials

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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.