Evidence map›Paper›PMID 38493804›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Noninvasive Stratification of Colon Cancer by Multiplex PET Imaging.

Gaurav Malviya, Tamsin R M Lannagan, Emma Johnson, Agata Mackintosh, Robert Bielik, Adam Peters, Dmitry Soloviev, Gavin Brown, Rene Jackstadt, Colin Nixon and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Gaurav MalviyaCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0003-0736-7991
Tamsin R M LannaganCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0002-8206-8898
Emma JohnsonCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0009-0005-4362-3974
Agata MackintoshCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0009-0006-2234-2986
Robert BielikCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0002-3674-4795
Adam PetersCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0002-8509-2877
Dmitry SolovievCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0002-1324-3197
Gavin BrownCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0003-4443-0785
Rene JackstadtHeidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.ORCID 0009-0005-6246-2133
Colin NixonCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0002-8085-2160
Kathryn GilroyCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0003-4607-194X
Andrew CampbellCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0003-3930-1276
Owen J SansomCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0001-9540-3010
David Y LewisCancer Research UK Scotland Institute, Garscube Estate, Glasgow, United Kingdom.ORCID 0000-0001-9329-1326
Fraunhofer UK Research · GBGerman Cancer Research Center · DE

Funding

Beatson Cancer CharityBeatson Institute for Cancer Research (The Beatson Institute) A25006Beatson Institute for Cancer Research (The Beatson Institute) A31287Beatson Institute for Cancer Research (The Beatson Institute) DRCQQR-May21\100002
6 · The paper itself

Abstract

purposeThe current approach for molecular subtyping of colon cancer relies on gene expression profiling, which is invasive and has limited ability to reveal dynamics and spatial heterogeneity. Molecular imaging techniques, such as PET, present a noninvasive alternative for visualizing biological information from tumors. However, the factors influencing PET imaging phenotype, the suitable PET radiotracers for differentiating tumor subtypes, and the relationship between PET phenotypes and tumor genotype or gene expression-based subtyping remain unknown. EXPERIMENTAL

designIn this study, we conducted 126 PET scans using four different metabolic PET tracers, [18F]fluorodeoxy-D-glucose ([18F]FDG), O-(2-[18F]fluoroethyl)-l-tyrosine ([18F]FET), 3'-deoxy-3'-[18F]fluorothymidine ([18F]FLT), and [11C]acetate ([11C]ACE), using a spectrum of five preclinical colon cancer models with varying genetics (BMT, AKPN, AK, AKPT, KPN), at three sites (subcutaneous, orthograft, autochthonous) and at two tumor stages (primary vs. metastatic).

resultsThe results demonstrate that imaging signatures are influenced by genotype, tumor environment, and stage. PET imaging signatures exhibited significant heterogeneity, with each cancer model displaying distinct radiotracer profiles. Oncogenic Kras and Apc loss showed the most distinctive imaging features, with [18F]FLT and [18F]FET being particularly effective, respectively. The tissue environment notably impacted [18F]FDG uptake, and in a metastatic model, [18F]FET demonstrated higher uptake.

conclusionsBy examining factors contributing to PET-imaging phenotype, this study establishes the feasibility of noninvasive molecular stratification using multiplex radiotracer PET. It lays the foundation for further exploration of PET-based subtyping in human cancer, thereby facilitating noninvasive molecular diagnosis.

Indexed as

Colonic NeoplasmsFluorodeoxyglucose F18DideoxynucleosidesHumansPositron-Emission TomographyRadiopharmaceuticalsalovudineDideoxynucleosidesFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID38493804
PMCPMC11016897
OpenAlexW4394752519

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.