Evidence map›Paper›PMID 34337530›Full record

ArticleEuropean urology open science2021

Analysis of Prostate Cancer Tumor Microenvironment Identifies Reduced Stromal CD4 Effector T-cell Infiltration in Tumors with Pelvic Nodal Metastasis.

Chara Ntala, Mark Salji, Jonathan Salmond, Leah Officer, Ana Vieira Teodosio, Arnaud Blomme, Ewan J McGhee, Ian Powley, Imran Ahmad, Marianna Kruithof-de Julio and 8 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
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

18 authors at 7 institutions in 3 countries.

Chara NtalaCRUK Beatson Institute, Glasgow, UK.
Mark SaljiCRUK Beatson Institute, Glasgow, UK.
Jonathan SalmondDepartment of Pathology, Queen Elizabeth University Hospital, Glasgow, UK.
Leah OfficerCRUK Beatson Institute, Glasgow, UK.
Ana Vieira TeodosioMedical Research Council Toxicology Unit, University of Cambridge, Leicester, UK.
Arnaud BlommeCRUK Beatson Institute, Glasgow, UK.
Ewan J McGheeCRUK Beatson Institute, Glasgow, UK.
Ian PowleyCRUK Beatson Institute, Glasgow, UK.
Imran AhmadCRUK Beatson Institute, Glasgow, UK.
Marianna Kruithof-de JulioDepartment of Urology, Bern University Hospital, University of Bern, Bern, Switzerland.
George ThalmannDepartment of Urology, Bern University Hospital, University of Bern, Bern, Switzerland.
Ed RobertsCRUK Beatson Institute, Glasgow, UK.
Carl S GoodyearInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Tamara JamaspishviliDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
David M BermanDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
Leo M CarlinCRUK Beatson Institute, Glasgow, UK.
John Le QuesneInstitute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Glasgow, UK.
Hing Y LeungCRUK Beatson Institute, Glasgow, UK.
Cancer Research UK Scotland Institute · GBQueen's University · CAUniversity of Bern · CHUniversity of Cambridge · GBUniversity of Leicester · GBQueen Elizabeth University Hospital · GBUniversity of Glasgow · GB

Funding

Cancer Research UK 19661Cancer Research UK 23983Cancer Research UK A19661Cancer Research UK A23983Medical Research Council MC_UP_1203/1
6 · The paper itself

Abstract

backgroundPelvic nodal metastasis in prostate cancer impacts patient outcome negatively.

objectiveTo explore tumor-infiltrating immune cells as a potential predictive tool for regional lymph node (LN) metastasis. DESIGN SETTING AND

participantsWe applied multiplex immunofluorescence and targeted transcriptomic analysis on 94 radical prostatectomy specimens in patients with (LN+) or without (LN-) pelvic nodal metastases. Both intraepithelial and stromal infiltrations of immune cells and differentially expressed genes (mRNA and protein levels) were correlated with the nodal status. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The identified CD4 effector cell signature of nodal metastasis was validated in a comparable independent patient cohort of 184 informative cases. Patient outcome analysis and decision curve analysis were performed with the CD4 effector cell density-based signature. RESULTS AND LIMITATIONS: In the discovery cohort, both tumor epithelium and stroma from patients with nodal metastasis had significantly lower infiltration of multiple immune cell types, with stromal CD4 effector cells highlighted as the top candidate marker. Targeted gene expression analysis and confirmatory protein analysis revealed key alteration of extracellular matrix components in tumors with nodal metastasis. Of note, stromal CD4 immune cell density was a significant independent predictor of LN metastasis (odds ratio [OR] = 0.15,

conclusionsDecreased T-cell infiltrates in the primary tumor (particularly CD4 effector cells) are associated with a higher risk of LN metastasis. Future evaluation of CD4-based assays on prostate cancer diagnostic biopsy materials may improve selection of at-risk patients for the treatment of LN metastasis. PATIENT SUMMARY: In this report, we found that cancer showing evidence of cancer metastasis to the lymph nodes tends to have less immune cells present within the tumor. We conclude that the extent of immune cells present within a prostate tumor can help doctors determine the most appropriate treatment plan for individual patients.

Indexed as

Immune cellsLymph nodeProstate cancerTumor microenvironment

Identifiers

PMID34337530
PMCPMC8317840
OpenAlexW3164286345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.