Evidence map›Paper›PMID 27562587›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2016

NFκB activation demarcates a subset of hepatocellular carcinoma patients for targeted therapy.

Vignesh Ramesh, Karthikeyan Selvarasu, Jaishree Pandian, Soundarajan Myilsamy, Chidambaranathan Shanmugasundaram, Kumaresan Ganesan

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  5. Iranian journal of medical sciences · 2022
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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

6 authors at 1 institution in 1 country.

Vignesh RameshUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India.
Karthikeyan SelvarasuUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India.
Jaishree PandianUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India.
Soundarajan MyilsamyUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India.
Chidambaranathan ShanmugasundaramUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India.
Kumaresan GanesanUnit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, 625 021, India. kumar@oncocellomics.org.
Madurai Kamaraj University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the fifth most common cancer and the third leading cause of cancer death worldwide. It is a heterogeneous disorder and >80 % of the tumors develop in patients with liver cirrhosis, resulting from chronic inflammation and/or fibrosis. Here, we set out to identify novel targets for HCC therapy and to define a subgroup of patients that might benefit most from it.

methodsCellular pathway activation profiling of 45 transcription factors in a HCC-derived cell line (HEP3B), in vitro analysis of NFκB reporter activity in additional HCC-derived cell lines and pathway-focused integrative analyses of publicly available primary HCC-derived expression profiling data (GSE6764, GSE9843, E-TABM-36 and E-TABM-292) were employed to reveal a role of NFκB in HCC development. In order to identify potential targeting agents, a luciferase-based NFκB reporter screening assay was established in HEP3B cells. After screening of a drug library through this assay, a potent NFκB pathway inhibitor was identified and characterized using an array of additional in vitro assays.

resultsUsing cellular pathway activation profiling, we found a high activation of NFκB-mediated signaling in HCC-derived cell lines and in primary HCC tumors. Through NFκB inhibitor screening we observed a highly efficacious NFκB pathway inhibitory potential of ornithogalum in HCC-derived HEP3B cells. Although its active component still remains to be defined, ornithogalum has been found to inhibit endoplasmic reticulum (ER) and oxidative stress responses. ER stress, oxidative stress and NFκB signaling were found to be enhanced in a subset of HCCs, as well as in (precancerous) liver cirrhosis tissues.

conclusionFrom our data we conclude that NFκB signaling is activated in precancerous cirrhosis tissues and in a subset of HCCs. We found that ornithogalum exhibits NFκB targeting and stress relieving activities. NFκB inhibitors, including the active component of ornithogalum, may serve as putative preventive and targeted therapeutic agents for at least a subset of HCCs in which the NFκB pathway is activated. These latter notions require further investigation in a translational context.

Indexed as

Antineoplastic AgentsBlotting, WesternCarcinoma, HepatocellularCell Line, TumorGene Knockdown TechniquesHumansLiver CirrhosisLiver NeoplasmsMolecular Targeted TherapyNF-kappa BOrnithogalumPrecancerous ConditionsAntineoplastic AgentsNF-kappa BAnti-inflammatoryER stressHepatocellular carcinomaNFkB pathwayOrnithogalumOxidative stressTargeted therapy

Identifiers

PMID27562587
PMCPMC13001857
OpenAlexW2512359275

What OpenQuestion holds

Textmetadata
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.