Evidence map›Paper›PMID 36500338›Full record

ArticleMolecules (Basel, Switzerland)2022

Anticancer Effects of Propolis Extracts Obtained with the Cold Separation Method on PC-3 and DU-145 Prostate Cancer Cell Lines.

Marek Gogacz, Jerzy Peszke, Dorota Natorska-Chomicka, Anna Makuch-Kocka, Katarzyna Dos Santos Szewczyk

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Biological Activities of Natural Products III.Molecules (Basel, Switzerland) · 2023
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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

5 authors at 1 institution in 1 country.

Marek GogaczDepartment of Gynecology, Medical University of Lublin, 20-090 Lublin, Poland.
Jerzy PeszkeDepartment of Experimental Biotechnology, Decont LLC, 08-500 Ryki, Poland.
Dorota Natorska-ChomickaDepartment of Toxicology, Faculty of Pharmacy, Medical University of Lublin, 20-090 Lublin, Poland.
Anna Makuch-KockaDepartment of Pharmacology, Medical University of Lublin, 20-093 Lublin, Poland.
Katarzyna Dos Santos SzewczykDepartment of Pharmaceutical Botany, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0003-4884-9110
Medical University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant extracts are increasingly tested for their biological activity and interactions with neoplastic cells. One of such sources of biologically active substances is propolis. This product has been known for thousands of years and is widely used in alternative, folk medicine. Articles describing its effects on the metabolism and cell signaling pathways of neoplastic cells derived from different organs are also published more and more frequently. The purpose of our study was to evaluate the biological activity of propolis extract produced with the cold separation method into hormone-dependent and hormone-independent prostate cancer cell lines. In our study, the propolis extracts showed at least an inhibitory effect on the growth of PC-3 and DU-145 neoplastic cells. Our results suggest that propolis extracts obtained with the cold separation method may be considered as promising compounds for the production of health-promoting supplements.

Indexed as

PropolisProstatic NeoplasmsCell LineCell ProliferationHormonesHumansMalePlant ExtractsHormonesPlant ExtractsPropoliscold separationpropolisprostate cancer

Identifiers

PMID36500338
PMCPMC9736172
OpenAlexW4310177395

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.