Evidence map›Paper›PMID 38732035›Full record

ArticleInternational journal of molecular sciences2024

Unveiling the Genomic Landscape of Intraductal Carcinoma of the Prostate Using Spatial Gene Expression Analysis.

Ryuta Watanabe, Noriyoshi Miura, Mie Kurata, Riko Kitazawa, Tadahiko Kikugawa, Takashi Saika

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
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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

6 authors.

Ryuta WatanabeDepartment of Urology, Ehime University Graduate School of Medicine, Toon 791-0295, Japan.ORCID 0000-0001-6656-4261
Noriyoshi MiuraDepartment of Urology, Ehime University Graduate School of Medicine, Toon 791-0295, Japan.ORCID 0000-0002-2229-0948
Mie KurataDepartment of Analytical Pathology, Ehime University Graduate School of Medicine, Toon 791-0295, Japan.ORCID 0000-0001-6596-2436
Riko KitazawaDivision of Diagnostic Pathology, Ehime University Hospital, Toon 791-0295, Japan.
Tadahiko KikugawaDepartment of Urology, Ehime University Graduate School of Medicine, Toon 791-0295, Japan.ORCID 0000-0002-8992-4167
Takashi SaikaDepartment of Urology, Ehime University Graduate School of Medicine, Toon 791-0295, Japan.

Funding

Japanese Foundation for Prostate Research N/AJapanese Urological Association Young Research GrantJapan Society for the Promotion of Science 22K09449Takahashi Industrial and Economic Research Foundation N/ATakeda Science Foundation Medical Research Grants
6 · The paper itself

Abstract

Intraductal carcinoma of the prostate (IDCP) has recently attracted increasing interest owing to its unfavorable prognoses. To effectively identify the IDCP-specific gene expression profile, we took a novel approach of characterizing a typical IDCP case using spatial gene expression analysis. A formalin-fixed, paraffin-embedded sample was subjected to Visium CytAssist Spatial Gene Expression analysis. IDCP within invasive prostate cancer sites was recognized as a distinct cluster separate from other invasive cancer clusters. Highly expressed genes defining the IDCP cluster, such as

Indexed as

Gene Expression Regulation, NeoplasticProstatic NeoplasmsTumor MicroenvironmentBiomarkers, TumorCarcinoma, DuctalGene Expression ProfilingHumansHypoxia-Inducible Factor 1, alpha SubunitMaleReceptors, CCR5TranscriptomeBiomarkers, TumorCCR5 protein, humanHypoxia-Inducible Factor 1, alpha SubunitReceptors, CCR5hypoxic markersimmune cellsintraductal carcinoma of the prostate (IDCP)spatial gene expression analysistumor microenvironment

Identifiers

PMID38732035
PMCPMC11083946

What OpenQuestion holds

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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.