Evidence map›Paper›PMID 34625031›Full record

ArticleBMC cancer2021

Cancer microcell initiation and determination.

Zane Simsone, Tālivaldis Freivalds, Dina Bēma, Indra Miķelsone, Liene Patetko, Juris Bērziņš, Līga Harju, Indulis Buiķis

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 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
0.2field-weighted citation impact, top 46% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Portrait of WWP1: the current state in human cancer.Frontiers in cell and developmental biology · 2024
    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

8 authors at 2 institutions in 1 country.

Zane SimsoneInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia. z.simsone@gmail.com.
Tālivaldis FreivaldsInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
Dina BēmaInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
Indra MiķelsoneDepartment of Human Physiology and Biochemistry, Rīga Stradiņš University, Dzirciema Street 16, Riga, LV-1007, Latvia.
Liene PatetkoLaboratory of Bioanalytical and Biodosimetry Methods, Faculty of Biology, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
Juris BērziņšInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
Līga HarjuInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
Indulis BuiķisInstitute of Cardiology and Regenerative Medicine, University of Latvia, Jelgavas Street 3, Riga, LV-1004, Latvia.
University of Latvia · LVRiga Stradiņš University · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer remains one of the leading causes of death worldwide, despite the possibilities to detect early onset of the most common cancer types. The search for the optimal therapy is complicated by the cancer diversity within tumors and the unsynchronized development of cancerous cells. Therefore, it is necessary to characterize cancer cell populations after treatment has been applied, because cancer recurrence is not rare. In our research, we concentrated on small cancer cell subpopulation (microcells) that has a potential to be cancer resistance source. Previously made experiments has shown that these cells in small numbers form in specific circumstances after anticancer treatment.

methodsIn experiments described in this research, the anticancer agents' paclitaxel and doxorubicin were used to stimulate the induction of microcells in fibroblast, cervix adenocarcinoma, and melanoma cell lines. Mainly for the formation of microcells in melanoma cells. The drug-stimulated cells were then characterized in terms of their formation efficiency, morphology, and metabolic activity.

resultsWe observed the development of cancer microcells and green fluorescent protein (GFP) transfection efficiency after stress. In the time-lapse experiment, we observed microcell formation through a renewal process and GFP expression in the microcells. Additionally, the microcells were viable after anticancer treatment, as indicated by the nicotinamide adenine dinucleotide hydrogen phosphate (NADPH) enzyme activity assay results. Taken together, these findings indicate that cancer microcells are viable and capable of resisting the stress induced by anticancer drugs, and these cells are prone to chemical substance uptake from the environment.

conclusionMicrocells are not only common to a specific cancer type, but can be found in any tumor type. This study could help to understand cancer emergence and recurrence. The appearance of microcells in the studied cancer cell population could be an indicator of the individual anticancer therapy effectiveness and patient survival.

Indexed as

Drug Resistance, NeoplasmAdenocarcinomaAntineoplastic AgentsCell CountCell Line, TumorCell NucleusCell Self RenewalCell SurvivalDNA-Binding ProteinsDoxorubicinEndosomal Sorting Complexes Required for TransportFemaleFibroblastsGreen Fluorescent ProteinsHeLa CellsHumansAntineoplastic AgentsDNA-Binding ProteinsDoxorubicinEndosomal Sorting Complexes Required for TransportGreen Fluorescent ProteinsIndicators and ReagentsNADPNeutral RedPaclitaxelTranscription FactorsTsg101 Proteincancercancer resistanceCell viabilityDoxorubicinMicrocellNADPHPaclitaxelSK-MEL-28

Identifiers

PMID34625031
PMCPMC8501611
OpenAlexW3203418693

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.