Evidence map›Paper›PMID 28819176›Full record

ArticleScientific reports2017

Use of Biocompatible Sorafenib-gold Nanoconjugates for Reversal of Drug Resistance in Human Hepatoblatoma Cells.

Sandeep Kumar Vishwakarma, Priyanka Sharmila, Avinash Bardia, Lakkireddy Chandrakala, N Raju, G Sravani, B V S Sastry, Md Aejaz Habeeb, Aleem Ahmed Khan, Marshal Dhayal

Abstract read
In one paragraph

Article in Scientific reports, 2017. 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
–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

14 citing papers in PubMed.

  1. Review
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  11. Emerging Nano-Based Strategies Against Drug Resistance in Tumor Chemotherapy.Frontiers in bioengineering and biotechnology · 2021
    Review
  12. Article
  13. Article
  14. 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

10 authors.

Sandeep Kumar VishwakarmaClinical Research Facility, Medical Biotechnology Complex, CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Habsiguda, Hyderabad, 500007, Telangana, India.
Priyanka SharmilaClinical Research Facility, Medical Biotechnology Complex, CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Habsiguda, Hyderabad, 500007, Telangana, India.
Avinash BardiaCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
Lakkireddy ChandrakalaCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
N RajuCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
G SravaniCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
B V S SastryCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
Md Aejaz HabeebCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India.
Aleem Ahmed KhanCentral Laboratory for Stem Cell Research and Translational Medicine, Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Hyderabad, 500058, Telangana, India. aleem_a_khan@rediffmail.com.
Marshal DhayalClinical Research Facility, Medical Biotechnology Complex, CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Habsiguda, Hyderabad, 500007, Telangana, India. marshaldhayal@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study identifies the potential of highly biocompatible SF-GNP nano-conjugate to enhance the chemotherapeutic response to combat drug resistance in cancer cells. We developed a stable colloidal suspension of sorafenib-gold nanoconjugate (SF-GNP) of <10 nm size in aqueous medium for reverting the cancer drug resistance in SF-resistant HepG2 cells in a 3D ex-vivo model system. In-vivo biocompatibility assay of SF-GNPs showed absence of systemic toxicological effects including hematological, biochemical and histological parameters. More importantly, the histopathological analysis of vital organs such as liver, brain, lung, kidney and heart showed very least or no sign of inflammation, cell infiltration, necrosis, tissue disorganization or fibrotic reactions after intra-peritoneal administration of SF-GNP nanoconjugates in animals. However, SF-GNP nanoconjugates significantly reduced (>80%) the percentage cell survival and the size and number of SF resistant solid tumor colonies of HepG2 cells in 3D model system. The exposure of SF-GNP nanoconjugate to SF resistant HepG2 cell colonies also provided evidence for anti-proliferative effect and reversal of drug resistance by elucidating the molecular regulatory mechanisms of extracellular matrix factor (CD147), tumor growth factor (TGF-β), hepatoma upregulated protein (hURP) and drug transporter (ABCG-2).

Indexed as

AnimalsAntineoplastic AgentsBiocompatible MaterialsCell SurvivalDrug Resistance, NeoplasmGoldHepatoblastomaHep G2 CellsHumansLiver NeoplasmsMaleMetal NanoparticlesMicroscopy, Electron, TransmissionNanoconjugatesParticle SizeRats, WistarAntineoplastic AgentsBiocompatible MaterialsGoldNanoconjugatesSorafenib

Identifiers

PMID28819176
PMCPMC5561190

What OpenQuestion holds

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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.