Evidence map›Paper›PMID 39812062›Full record

ArticleAnti-cancer agents in medicinal chemistry2025

Aydın Demiray, Ege Rıza Karagur, Gulsen Tel-Cayan, Onur Tokgun, Hakan Akca, Mehmet Emin Duru

Abstract read
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Article in Anti-cancer agents in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Aydın DemirayDepartment of Medical Genetic, School of Medicine, Pamukkale University, Denizli, Turkey.ORCID 0000-0002-3343-0184
Ege Rıza KaragurDepartment of Medical Genetic, School of Medicine, Pamukkale University, Denizli, Turkey.ORCID 0000-0003-2189-8553
Gulsen Tel-CayanDepartment of Chemistry and Chemical Processing Technologies, Muğla Vocational School, Muğla Sıtkı Koçman University, Muğla, Menteşe/Muğla, Turkey.ORCID 0000-0002-1916-7391
Onur TokgunDepartment of Medical Genetic, School of Medicine, Pamukkale University, Denizli, Turkey.ORCID 0000-0003-0537-9032
Hakan AkcaDepartment of Medical Genetic, School of Medicine, Pamukkale University, Denizli, Turkey.ORCID 0000-0002-9477-8571
Mehmet Emin DuruDepartment of Chemistry, Faculty of Sciences, Muğla Sıtkı Koçman University, Muğla, Menteşe/Muğla, Turkey.ORCID 0000-0001-7252-4880

Funding

Scientific and Technological Research Council of Turkey TUBITAK-TBAG-109T933
6 · The paper itself

Abstract

objectiveLung cancer is the primary cause of cancer-related deaths globally. Protein kinase B (AKT) protein is associated with many pathways in non-small cell lung cancer (NSCLC), such as proliferation, migration, invasion, and apoptosis. Mushrooms have a long history of being used in traditional medicine to treat various diseases. Scientists have been exploring the potential of mushrooms for their antioxidant and anticancer properties. In our study, the anti-oxidant, invasion, and apoptosis effects of mushroom extracts were investigated in NSCLC. MATERIALS AND

methodsNon-Small Cell Lung Cancer cell lines H1299, PC-3, and PC-14 were used in our study. After obtaining the extracts of

resultsAccording to the results of our study,

conclusionWe anticipate that

Indexed as

Antineoplastic AgentsAntioxidantsApoptosisGanodermaLung NeoplasmsProto-Oncogene Proteins c-aktCell Line, TumorCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansMolecular StructureStructure-Activity RelationshipTumor Cells, CulturedAntineoplastic AgentsAntioxidantsProto-Oncogene Proteins c-aktanti-apoptoticantioxidantganoderma adspersumnon-small cell lung cancer.pAKT/Rbrhizopogon luteolus

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What OpenQuestion holds

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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.