Evidence map›Paper›PMID 38923836›Full record

ArticleThe journal of pathology. Clinical research2024

Volumetric imaging of the tumor microvasculature reflects outcomes and genomic states of clear cell renal cell carcinoma.

Yuta Kaneko, Tsukasa Masuda, Kimiharu Takamatsu, Shuji Mikami, Kohei Nakamura, Hiroshi Nishihara, Ryuichi Mizuno, Nobuyuki Tanaka, Mototsugu Oya

Abstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Yuta Kaneko *Department of Urology, Keio University School of Medicine, Tokyo, Japan.
Tsukasa Masuda *Department of Urology, Keio University School of Medicine, Tokyo, Japan.
Kimiharu TakamatsuDepartment of Urology, Keio University School of Medicine, Tokyo, Japan.
Shuji MikamiDepartment of Diagnostic Pathology, Keio University Hospital, Tokyo, Japan.
Kohei NakamuraGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Hiroshi NishiharaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Ryuichi MizunoDepartment of Urology, Keio University School of Medicine, Tokyo, Japan.
Nobuyuki TanakaDepartment of Urology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-0841-9167
Mototsugu OyaDepartment of Urology, Keio University School of Medicine, Tokyo, Japan.

Funding

Foundation for Promotion of Cancer Research JapanKAKENHI 21K07156KAKENHI 21K19414KAKENHI 22H03217Keio Gijuku Academic Development FundsPrincess Takamatsu Cancer Research FundsSGH Cancer Research GrantTakeda Science Foundation
6 · The paper itself

Abstract

Tumor structure is heterogeneous and complex, and it is difficult to obtain complete characteristics by two-dimensional analysis. The aim of this study was to visualize and characterize volumetric vascular information of clear cell renal cell carcinoma (ccRCC) tumors using whole tissue phenotyping and three-dimensional light-sheet microscopy. Here, we used the diagnosing immunolabeled paraffin-embedded cleared organs pipeline for tissue clearing, immunolabeling, and three-dimensional imaging. The spatial distributions of CD34, which targets blood vessels, and LYVE-1, which targets lymphatic vessels, were examined by calculating three-dimensional density, vessel length, vessel radius, and density curves, such as skewness, kurtosis, and variance of the expression. We then examined those associations with ccRCC outcomes and genetic alteration state. Formalin-fixed paraffin-embedded tumor samples from 46 ccRCC patients were included in the study. Receiver operating characteristic curve analyses revealed the associations between blood vessel and lymphatic vessel distributions and pathological factors such as a high nuclear grade, large tumor size, and the presence of venous invasion. Furthermore, three-dimensional imaging parameters stratified ccRCC patients regarding survival outcomes. An analysis of genomic alterations based on volumetric vascular information parameters revealed that PI3K-mTOR pathway mutations related to the blood vessel radius were significantly different. Collectively, we have shown that the spatial elucidation of volumetric vasculature information could be prognostic and may serve as a new biomarker for genomic alterations. High-end tissue clearing techniques and volumetric immunohistochemistry enable three-dimensional analysis of tumors, leading to a better understanding of the microvascular structure in the tumor space.

Indexed as

Carcinoma, Renal CellImaging, Three-DimensionalKidney NeoplasmsMicrovesselsAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedNeovascularization, PathologicPrognosisBiomarkers, Tumorbiomarkerkidney cancerlight‐sheet microscopymicrovasculaturerenal cell carcinomatissue clearing

Identifiers

PMID38923836
PMCPMC11200083

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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.