Evidence map›Paper›PMID 38523528›Full record

ArticleCancer medicine2024

Patterns of B-cell lymphocyte expression changes in pre- and post-malignant prostate tissue are associated with prostate cancer progression.

Sudha M Sadasivan, Ian M Loveless, Yalei Chen, Nilesh S Gupta, Ryan Sanii, Kevin R Bobbitt, Dhananjay A Chitale, Sean R Williamson, Andrew G Rundle, Benjamin A Rybicki

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Human Group IIA Secreted Phospholipase AInternational journal of molecular sciences · 2026
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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

10 authors at 4 institutions in 1 country.

Sudha M SadasivanDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.
Ian M LovelessDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.
Yalei ChenDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.
Nilesh S GuptaDepartment of Pathology, Henry Ford Hospital, Detroit, Michigan, USA.
Ryan SaniiDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.
Kevin R BobbittDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.
Dhananjay A ChitaleDepartment of Pathology, Henry Ford Hospital, Detroit, Michigan, USA.
Sean R WilliamsonDepartment of Pathology, Cleveland Clinic, Cleveland, Ohio, USA.
Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Benjamin A RybickiDepartment of Public Health Sciences, Henry Ford Hospital, Henry Ford Health + Michigan State University Health Sciences, Detroit, Michigan, USA.ORCID 0000-0003-3190-3467
Henry Ford Health System · USHenry Ford Hospital · USCleveland Clinic · USColumbia University · US

Funding

GENE-ENVIRONMENT INTERACTION IN PROSTATE CANCERR01ES011126 · NIEHS · HENRY FORD HEALTH SYSTEM · PI RYBICKI, BENJAMIN A. · 2000 to 2017
$8.0M
NIEHS NIH HHS R01 ES011126
6 · The paper itself

Abstract

backroundInflammation characterized by the presence of T and B cells is often observed in prostate cancer, but it is unclear how T- and B-cell levels change during carcinogenesis and whether such changes influence disease progression.

methodsThe study used a retrospective sample of 73 prostate cancer cases (45 whites and 28 African Americans) that underwent surgery as their primary treatment and had a benign prostate biopsy at least 1 year before diagnosis. CD3+, CD4+, and CD20+ lymphocytes were quantified by immunohistochemistry in paired pre- and post-diagnostic benign prostate biopsy and tumor surgical specimens, respectively. Clusters of similar trends of expression across two different timepoints and three distinct prostate regions-benign biopsy glands (BBG), tumor-adjacent benign glands (TAG), and malignant tumor glandular (MTG) regions-were identified using Time-series Anytime Density Peaks Clustering (TADPole). A Cox proportional hazards model was used to estimate the hazard ratio (HR) of time to biochemical recurrence associated with region-specific lymphocyte counts and regional trends.

resultsThe risk of biochemical recurrence was significantly reduced in men with an elevated CD20+ count in TAG (HR = 0.81, p = 0.01) after adjusting for covariates. Four distinct patterns of expression change across the BBG-TAG-MTG regions were identified for each marker. For CD20+, men with low expression in BBG and higher expression in TAG compared to MTG had an adjusted HR of 3.06 (p = 0.03) compared to the reference group that had nominal differences in CD20+ expression across all three regions. The two CD3+ expression patterns that featured lower CD3+ expression in the BBG compared to the TAG and MTG regions had elevated HRs ranging from 3.03 to 4.82 but did not reach statistical significance.

conclusionsLongitudinal and spatial expression patterns of both CD3+ and CD20+ suggest that increased expression in benign glands during prostate carcinogenesis is associated with an aggressive disease course.

Indexed as

ProstateProstatic NeoplasmsB-LymphocytesCarcinogenesisHumansMaleRetrospective Studiesbenign biopsybiochemical recurrenceCD20CD3CD4inflammation

Identifiers

PMID38523528
PMCPMC10961600
OpenAlexW4393165647

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.