Evidence map›Paper›PMID 38228854›Full record

ArticleScientific reports2024

Unveiling breast cancer metastasis through an advanced X-ray imaging approach.

Andre L C Conceição, Volkmar Müller, Eike-Christian Burandt, Malte Mohme, Leonard C Nielsen, Marianne Liebi, Sylvio Haas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 9 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

7 authors at 5 institutions in 3 countries.

Andre L C ConceiçãoDeutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany. andre.conceicao@desy.de.
Volkmar MüllerDepartment of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Eike-Christian BurandtInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Malte MohmeDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Leonard C NielsenDepartment of Physics, Chalmers University of Technology, 41296, Gothenburg, Sweden.
Marianne LiebiDepartment of Physics, Chalmers University of Technology, 41296, Gothenburg, Sweden.
Sylvio HaasDeutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany.
Deutsches Elektronen-Synchrotron DESY · DEUniversität Hamburg · DEChalmers University of Technology · SEÉcole Polytechnique Fédérale de Lausanne · CHUniversity Medical Center Hamburg-Eppendorf · DE

Funding

European Research Council ERC-2020-StG 949301
6 · The paper itself

Abstract

Breast cancer is a significant global health burden, causing a substantial number of deaths. Systemic metastatic tumour cell dissemination is a major cause of poor outcomes. Understanding the mechanisms underlying metastasis is crucial for effective interventions. Changes in the extracellular matrix play a pivotal role in breast cancer metastasis. In this work, we present an advanced multimodal X-ray computed tomography, by combining Small-angle X-ray Scattering Tensor Tomography (SAXS-TT) and X-ray Fluorescence Computed Tomography (XRF-CT). This approach likely brings out valuable information about the breast cancer metastasis cascade. Initial results from its application on a breast cancer specimen reveal the collective influence of key molecules in the metastatic mechanism, identifying a strong correlation between zinc accumulation (associated with matrix metalloproteinases MMPs) and highly oriented collagen. MMPs trigger collagen alignment, facilitating breast cancer cell intravasation, while iron accumulation, linked to angiogenesis and vascular endothelial growth factor VEGF, supports cell proliferation and metastasis. Therefore, these findings highlight the potential of the advanced multimodal X-ray computed tomography approach and pave the way for in-depth investigation of breast cancer metastasis, which may guide the development of novel therapeutic approaches and enable personalised treatment strategies, ultimately improving patient outcomes in breast cancer management.

Indexed as

Breast NeoplasmsMelanomaSkin NeoplasmsCollagenFemaleHumansMatrix MetalloproteinasesNeoplasm MetastasisScattering, Small AngleVascular Endothelial Growth Factor AX-Ray DiffractionX-RaysCollagenMatrix MetalloproteinasesVascular Endothelial Growth Factor A

Identifiers

PMID38228854
PMCPMC10791658
OpenAlexW4390901401

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.