Evidence map›Paper›PMID 37068117›Full record

ArticlePLoS computational biology2023

A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression.

Salim Ghannoum, Damiano Fantini, Muhammad Zahoor, Veronika Reiterer, Santosh Phuyal, Waldir Leoncio Netto, Øystein Sørensen, Arvind Iyer, Debarka Sengupta, Lina Prasmickaite and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2023. 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
0.8field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

13 authors at 6 institutions in 5 countries.

Salim GhannoumInstitute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0003-1455-5835
Damiano FantiniDepartment of Urology, Northwestern University, Chicago, Illinois, United States of America.
Muhammad ZahoorInstitute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
Veronika ReitererInstitute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria.
Santosh PhuyalInstitute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
Waldir Leoncio NettoOslo Centre for Biostatistics and Epidemiology, Faculty of Medicine, University of Oslo, Oslo, Norway.
Øystein SørensenCenter for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0003-0724-3542
Arvind IyerDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.ORCID 0000-0002-8247-700X
Debarka SenguptaDepartment of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.
Lina PrasmickaiteDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Gunhild Mari MælandsmoDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Alvaro Köhn-LuqueOslo Centre for Biostatistics and Epidemiology, Faculty of Medicine, University of Oslo, Oslo, Norway.
Hesso FarhanInstitute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
University of Oslo · NOInnsbruck Medical University · ATOslo University Hospital · NOIndraprastha Institute of Information Technology Delhi · INNorthwestern University · USUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of how speed and persistence of cell migration affects the growth rate and size of tumors remains incomplete. To address this, we developed a mathematical model wherein cells migrate in two-dimensional space, divide, die or intravasate into the vasculature. Exploring a wide range of speed and persistence combinations, we find that tumor growth positively correlates with increasing speed and higher persistence. As a biologically relevant example, we focused on Golgi fragmentation, a phenomenon often linked to alterations of cell migration. Golgi fragmentation was induced by depletion of Giantin, a Golgi matrix protein, the downregulation of which correlates with poor patient survival. Applying the experimentally obtained migration and invasion traits of Giantin depleted breast cancer cells to our mathematical model, we predict that loss of Giantin increases the number of intravasating cells. This prediction was validated, by showing that circulating tumor cells express significantly less Giantin than primary tumor cells. Altogether, our computational model identifies cell migration traits that regulate tumor progression and uncovers a role of Giantin in breast cancer progression.

Indexed as

Breast NeoplasmsMembrane ProteinsFemaleGolgi ApparatusGolgi Matrix ProteinsHumansGolgi Matrix ProteinsmacrogolginMembrane Proteins

Identifiers

PMID37068117
PMCPMC10159355
OpenAlexW4366084328

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.