Evidence map›Paper›PMID 35831348›Full record

ArticleScientific reports2022

Investigation on the cellular mechanism of Prunetin evidenced through next generation sequencing and bioinformatic approaches against gastric cancer.

Preethi Vetrivel, Santhi Nachimuthu, Abusaliya Abuyaseer, Pritam Bhagwan Bhosale, Sang Eun Ha, Hun Hwan Kim, Min Young Park, Gon Sup Kim

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 10 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

8 authors at 2 institutions in 3 countries.

Preethi VetrivelResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Santhi NachimuthuDepartment of Biochemistry, Biotechnology and Bioinformatics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, 641043, India.
Abusaliya AbuyaseerResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Pritam Bhagwan BhosaleResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Sang Eun HaResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Hun Hwan KimResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Min Young ParkResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea.
Gon Sup KimResearch Institute of Life science and College of Veterinary Medicine, Gyeongsang National University, Gajwa, Jinju, 52828, Republic of Korea. gonskim@gnu.ac.kr.
Gyeongsang National University · KRAvinashilingam University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is the common type of malignancy positioned at second in mortality rate causing burden worldwide with increasing treatment options. More accurate and reliable diagnostic methods/biomarkers are urgently needed. The application of transcriptomics technologies possesses the high efficiency of identifying key metabolic pathways and functional genes in cancer research. In this study, we performed a transcriptome analysis on Prunetin treated AGS cells. A total of 1,118 differentially expressed (DE) genes on Prunetin treated AGS cancer cells, among which 463 were up-regulated and 655 were down-regulated. Notably, around 40 genes were found to be related with necroptosis, among which 16 genes were found to be in close association with Receptor Interacting Protein Kinase (RIPK) family. Validation of the RIPK genes through GEPIA identified 8 genes (NRP1, MNX1, SSRP1, PRDX2, PLRG1, LGALS4, SNX5 and FXYD3) which are highly expressed in stomach cancer were significantly down-regulated in PRU treated samples. In conclusion, the sequencing data explores the expression of RIPK mediated genes through necroptosis signaling network in treating gastric cancer. The futuristic validations on the 8 genes as candidate biomarkers will offer a treatment approach against gastric cancer using PRU.

Indexed as

Stomach NeoplasmsBiomarkersComputational BiologyDNA-Binding ProteinsGene Expression ProfilingGene Expression Regulation, NeoplasticHigh Mobility Group ProteinsHigh-Throughput Nucleotide SequencingHomeodomain ProteinsHumansIntracellular Signaling Peptides and ProteinsIsoflavonesMembrane ProteinsNeoplasm ProteinsNuclear ProteinsTranscriptional Elongation FactorsBiomarkersDNA-Binding ProteinsFXYD3 protein, humanHigh Mobility Group ProteinsHomeodomain ProteinsIntracellular Signaling Peptides and ProteinsIsoflavonesMembrane ProteinsMNX1 protein, humanNeoplasm ProteinsNuclear ProteinsPLRG1 protein, humanprunetinSSRP1 protein, humanTranscriptional Elongation FactorsTranscription Factors

Identifiers

PMID35831348
PMCPMC9279440
OpenAlexW4285083814

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.