Evidence map›Paper›PMID 32737754›Full record

ReviewReviews of physiology, biochemistry and pharmacology2021

Ion Channel Profiling in Prostate Cancer: Toward Cell Population-Specific Screening.

Valerio Farfariello, Natalia Prevarskaya, Dimitra Gkika

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews of physiology, biochemistry and pharmacology, 2021. 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
1.6field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Valerio FarfarielloUniversité de Lille, Inserm, U1003 - PHYCEL - Physiologie Cellulaire, Lille, France.
Natalia PrevarskayaUniversité de Lille, Inserm, U1003 - PHYCEL - Physiologie Cellulaire, Lille, France.
Dimitra GkikaUniversité de Lille, Inserm, U1003 - PHYCEL - Physiologie Cellulaire, Lille, France. dimitra.gkika@univ-lille.fr.
Université de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last three decades, a growing number of studies have implicated ion channels in all essential processes of prostate carcinogenesis, including cell proliferation, apoptosis, migration, and angiogenesis. The changes in the expression of individual ion channels show a specific profile, making these proteins promising clinical biomarkers that may enable better molecular subtyping of the disease and lead to more rapid and accurate clinical decision-making. Expression profiles and channel function are mainly based on the tumoral tissue itself, in this case, the epithelial cancer cell population. To date, little data on the ion channel profile of the cancerous prostate stroma are available, even though tumor interactions with the microenvironment are crucial in carcinogenesis and each distinct population plays a specific role in tumor progression. In this review, we describe ion channel expression profiles specific for the distinct cell population of the tumor microenvironment (stromal, endothelial, neuronal, and neuroendocrine cell populations) and the technical approaches used for efficient separation and screening of these cell populations.

Indexed as

Early Detection of CancerProstatic NeoplasmsCarcinogenesisHumansIon ChannelsMaleTumor MicroenvironmentIon ChannelsCalciumCancer biomarkersChlorideIon channelsNeuroendocrine cellsPotassiumStroma cellsTransient receptor potentialTumor-derived endothelial cells

Identifiers

PMID32737754
OpenAlexW3046852765

What Socratic holds

Textmetadata
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 Socratic graph.