Evidence map›Paper›PMID 35498409›Full record

ReviewFrontiers in endocrinology2022

Periprostatic Adipose Tissue Microenvironment: Metabolic and Hormonal Pathways During Prostate Cancer Progression.

Paula Alejandra Sacca, Juan Carlos Calvo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Paula Alejandra SaccaLaboratorio de Química de Proteoglicanos y Matriz Extracelular, Instituto de Biología y Medicina Experimental (IBYME)-CONICET, Buenos Aires, Argentina.
Juan Carlos CalvoLaboratorio de Química de Proteoglicanos y Matriz Extracelular, Instituto de Biología y Medicina Experimental (IBYME)-CONICET, Buenos Aires, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARExperimental Medicine and Biology Institute · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The periprostatic adipose tissue (PPAT) is a site of invasion of prostate cancer (PCa) and is part of the microenvironment. It was shown that PPAT secretes factors and fatty acids (FAs) that alter the microenvironment of the PCa. The PPAT secretome of patients with PCa-T3 stage (PPAT-T3) has a metabolic profile enriched in several pathways related to energy production, indicating a greater energy requirement by the tumor, when compared to that of patients in the PCa-T2 stage (PPAT-T2). PPAT-T3 also shows enrichment in pathways related to hormone response, polyamine synthesis, and control of protein synthesis, through amino acid, RNA, and nucleotide metabolism. PPAT-T2 and PPAT-BPH secretomes have less complex metabolic profile, both related with energy balance, while PPAT-BPH has hormone response through insulin pathway. Undoubtedly, a deeper characterization of the human PPAT will lead to a better understanding of the disease and possibly allow new stratification factors and the design of a specific therapy that targets crucial components of the tumor microenvironment as another way to treat or control the disease.

Indexed as

Prostatic HyperplasiaProstatic NeoplasmsAdipose TissueHormonesHumansMaleProstateTumor MicroenvironmentHormonesadipose tissuebenign prostatic hyperplasiametabolismmicroenvironmentperiprostatic adipose tissueprostate cancerproteomicssecretome

Identifiers

PMID35498409
PMCPMC9043608
OpenAlexW4223993211

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.