Evidence map›Paper›PMID 35530322›Full record

ArticleFrontiers in oncology2022

Multimodality Characterization of Cancer-Associated Fibroblasts in Tumor Microenvironment and Its Correlation With Ultrasound Shear Wave-Measured Tissue Stiffness in Localized Prostate Cancer.

Wael Ageeli, Xinyu Zhang, Chidozie N Ogbonnaya, Susan E Bray, Neil M Kernohan, Jennifer Wilson, Chunhui Li, Ghulam Nabi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
0.5field-weighted citation impact, top 43% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  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

8 authors at 3 institutions in 2 countries.

Wael AgeeliDivision of Imaging Sciences and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom.
Xinyu ZhangDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom.
Chidozie N OgbonnayaDivision of Imaging Sciences and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom.
Susan E BrayTayside Biorepository, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
Neil M KernohanDepartment of Pathology, Ninewells Hospital, Dundee, United Kingdom.
Jennifer WilsonDepartment of Pathology, Ninewells Hospital, Dundee, United Kingdom.
Chunhui LiSchool of Science and Engineering, University of Dundee, Dundee, United Kingdom.
Ghulam NabiDivision of Imaging Sciences and Technology, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom.
University of Dundee · GBNinewells Hospital · GBGenomics (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Growing evidence suggests that the tumor microenvironment (TME) represented by cellular and acellular components plays a key role in the multistep process of metastases and response to therapies. However, imaging and molecular characterization of the TME in prostate cancer (PCa) and its role in predicting aggressive tumor behavior and disease progression is largely unexplored. The study explores the PCa TME through the characterization of cancer-associated fibroblasts (CAFs) using both immunohistochemistry (IHC) and genomics approaches. This is then correlated with transrectal ultrasound shear wave elastography (USWE)-measured tissue stiffness. Patients and Methods: Thirty patients with clinically localized PCa undergoing radical prostatectomy for different risk categories of tumor (low, intermediate, and high) defined by Gleason score (GS) were prospectively recruited into this study. Prostatic tissue stiffness was measured using USWE prior to surgery. The CAFs within the TME were identified by IHC using a panel of six antibodies (FAP, SMAα, FSP1, CD36, PDGFRα, and PDGFRβ) as well as gene expression profiling using TempO-sequence analysis. Whether the pattern and degree of immunohistochemical positivity (measured by Quick score method) and expression of genes characterizing CAFs were correlated with USWE- and GS-measured tissue stiffnesses were tested using Spearman's rank correlation and Pearson correlation. Results: There was a statistically significant correlation between GS of cancers, the pattern of staining for CAFs by immunohistochemical staining, and tissue stiffness measured in kPa using USWE ( Conclusion: USWE-measured tissue stiffness correlates with increased SMAα and PDGFRβ expressing CAFs and PCa GSs. This mechanistic correlation could be used for predicting the upgrading of GS from biopsies to radical surgery and response to novel treatments.

Indexed as

cancer-associated fibroblastsimmunohistochemistryprostate cancerstiffnesstumor microenvironment

Identifiers

PMID35530322
PMCPMC9069005
OpenAlexW4224236643

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.