Evidence map›Paper›PMID 33907497›Full record

ArticleTurkish journal of biology = Turk biyoloji dergisi2021

Transcriptome profiles associated with selenium-deficiency-dependent oxidative stress identify potential diagnostic and therapeutic targets in liver cancer cells.

Damla Gözen, Deniz Cansen Kahraman, Kübra Narci, Huma Shehwana, Özlen Konu, Rengül Çetin-Atalay

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of biology = Turk biyoloji dergisi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 95% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 3 institutions in 4 countries.

Damla GözenCancer Systems Biology Laboratory, Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara Turkey.ORCID https://orcid.org/0000-0002-4293-5627
Deniz Cansen KahramanCancer Systems Biology Laboratory, Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara Turkey.ORCID https://orcid.org/0000-0002-3381-5463
Kübra NarciCancer Systems Biology Laboratory, Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara Turkey.ORCID https://orcid.org/0000-0002-3532-2152
Huma ShehwanaDepartment of Biological Sciences, National University of Medical Sciences, Rawalpindi Pakistan.ORCID https://orcid.org/0000-0002-3665-8846
Özlen KonuDepartment of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara Turkey.ORCID https://orcid.org/0000-0002-6223-5329
Rengül Çetin-AtalayCancer Systems Biology Laboratory, Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara Turkey.ORCID https://orcid.org/0000-0003-2408-6606
Middle East Technical University · TRBilkent University · TRNational University of Medical Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common cancer types with high mortality rates and displays increased resistance to various stress conditions such as oxidative stress. Conventional therapies have low efficacies due to resistance and off-target effects in HCC. Here we aimed to analyze oxidative stress-related gene expression profiles of HCC cells and identify genes that could be crucial for novel diagnostic and therapeutic strategies. To identify important genes that cause resistance to reactive oxygen species (ROS), a model of oxidative stress upon selenium (Se) deficiency was utilized. The results of transcriptome-wide gene expression data were analyzed in which the differentially expressed genes (DEGs) were identified between HCC cell lines that are either resistant or sensitive to Se-deficiency-dependent oxidative stress. These DEGs were further investigated for their importance in oxidative stress resistance by network analysis methods, and 27 genes were defined to have key roles; 16 of which were previously shown to have impact on liver cancer patient survival. These genes might have Se-deficiency-dependent roles in hepatocarcinogenesis and could be further exploited for their potentials as novel targets for diagnostic and therapeutic approaches.

Indexed as

Hepatocellular carcinomaoxidative stressseleniumtranscriptome-wide analysis

Identifiers

PMID33907497
PMCPMC8068766
OpenAlexW3157968186

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.