Evidence map›Paper›PMID 34061902›Full record

ArticlePloS one2021

The role of endoplasmic reticulum in in vivo cancer FDG kinetics.

Sara Sommariva, Mara Scussolini, Vanessa Cossu, Cecilia Marini, Gianmario Sambuceti, Giacomo Caviglia, Michele Piana

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. KineticEJNMMI physics · 2024
    Article
  3. A fingerprint of 2-[iScience · 2023
    Article
  4. Article
  5. Review
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

7 authors at 4 institutions in 1 country.

Sara SommarivaDipartimento di Matematica, Università di Genova, Genova, Italy.
Mara ScussoliniDipartimento di Matematica, Università di Genova, Genova, Italy.
Vanessa CossuDipartimento di Medicina Nucleare, Policlinico San Martino IRCCS, Genova, Italy.
Cecilia MariniCNR - IBFM, Genova, Italy.
Gianmario SambucetiDipartimento di Medicina Nucleare, Policlinico San Martino IRCCS, Genova, Italy.
Giacomo CavigliaDipartimento di Matematica, Università di Genova, Genova, Italy.
Michele PianaDipartimento di Matematica, Università di Genova, Genova, Italy.ORCID 0000-0003-1700-991X
University of Genoa · ITOspedale Policlinico San Martino · ITInstitute of Molecular Bioimaging and Physiology · ITSuperconducting and other Innovative Materials and Devices Institute · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent result obtained by means of an in vitro experiment with cancer cultured cells has configured the endoplasmic reticulum as the preferential site for the accumulation of 2-deoxy-2-[18F]fluoro-D-glucose (FDG). Such a result is coherent with cell biochemistry and is made more significant by the fact that the reticular accumulation rate of FDG is dependent upon extracellular glucose availability. The objective of the present paper is to confirm in vivo the result obtained in vitro concerning the crucial role played by the endoplasmic reticulum in FDG cancer metabolism. This study utilizes data acquired by means of a Positron Emission Tomography scanner for small animals in the case of CT26 models of cancer tissues. The recorded concentration images are interpreted within the framework of a three-compartment model for FDG kinetics, which explicitly assumes that the endoplasmic reticulum is the dephosphorylation site for FDG in cancer cells. The numerical reduction of the compartmental model is performed by means of a regularized Gauss-Newton algorithm for numerical optimization. This analysis shows that the proposed three-compartment model equals the performance of a standard Sokoloff's two-compartment system in fitting the data. However, it provides estimates of some of the parameters, such as the phosphorylation rate of FDG, more consistent with prior biochemical information. These results are made more solid from a computational viewpoint by proving the identifiability and by performing a sensitivity analysis of the proposed compartment model.

Indexed as

Models, BiologicalAlgorithmsAnimalsCell Line, TumorColonic NeoplasmsDisease Models, AnimalEndoplasmic ReticulumFemaleFluorodeoxyglucose F18GlucoseKineticsMaleMiceMice, Inbred BALB CPhosphorylationPositron-Emission TomographyFluorodeoxyglucose F18Glucose

Identifiers

PMID34061902
PMCPMC8168898
OpenAlexW3164076531

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.