Discovery of drug transporter inhibitors tied to long noncoding RNA in resistant cancer cells; a computational model -in silico- study Article Swipe
Mohanad Diab
,
Amel Hamdi
,
Feras Al‐Obeidat
,
Wael Hafez
,
Iván Chérrez-Ojeda
,
Muneir Gador
,
Gowhar Rashid
,
Sana F Elkhazin
,
Mahmad Anwar Ibrahim
,
Tengku Saifudin Bin Tengku Ismail
,
Samar Sami Alkafaas
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2025.1511029
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2025.1511029
Chemotherapeutic resistance is a major obstacle to chemotherapeutic failure. Cancer cell resistance involves several mechanisms, including epithelial-to-mesenchymal transition (EMT), signaling pathway bypass, drug efflux activation, and impairment of drug entry. P-glycoproteins (P-gp) are an efflux transporter that pumps chemotherapeutic drugs out of cancer cells, resulting in chemotherapeutic resistance. Several types of long noncoding RNA (lncRNAs) have been identified in resistant cancer cells, including ODRUL , MALAT1 , and ANRIL. The high expression level of ODRUL is related to the induction of ATP-binding cassette (ABC) gene expression, resulting in the emergence of doxorubicin resistance in osteosarcoma. lncRNAs are observed to be regulators of drug transporters in cancer cells such as MALAT1 and ANRIL. Targeting P-gp expression using natural products is a new strategy to overcome cancer cell resistance and improve the sensitivity of resistant cells toward chemotherapies. This review validates the inhibitory effects of natural products on P-gp expression and activity using in silico molecular docking. In silico analysis showed that Delphinidin and Asparagoside-f are the most significant natural product inhibitors of p-glycoprotein-1. These inhibitors can reverse multi-drug resistance and induce the sensitivity of resistant cancer cells toward chemotherapy based on in silico molecular docking. It is important to validate that pre-elementary docking can be confirmed using in vitro and in vivo experimental data.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3389/fimmu.2025.1511029
- https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1511029/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 183
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409825372
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409825372Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fimmu.2025.1511029Digital Object Identifier
- Title
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Discovery of drug transporter inhibitors tied to long noncoding RNA in resistant cancer cells; a computational model -in silico- studyWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-25Full publication date if available
- Authors
-
Mohanad Diab, Amel Hamdi, Feras Al‐Obeidat, Wael Hafez, Iván Chérrez-Ojeda, Muneir Gador, Gowhar Rashid, Sana F Elkhazin, Mahmad Anwar Ibrahim, Tengku Saifudin Bin Tengku Ismail, Samar Sami AlkafaasList of authors in order
- Landing page
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https://doi.org/10.3389/fimmu.2025.1511029Publisher landing page
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1511029/pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1511029/pdfDirect OA link when available
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In silico, Computational biology, Transporter, Drug discovery, Biology, Drug, Bioinformatics, Gene, Pharmacology, GeneticsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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183Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.bypass, | 21 |
| abstract_inverted_index.docking | 201 |
| abstract_inverted_index.effects | 141 |
| abstract_inverted_index.improve | 128 |
| abstract_inverted_index.lncRNAs | 95 |
| abstract_inverted_index.natural | 116, 143, 167 |
| abstract_inverted_index.pathway | 20 |
| abstract_inverted_index.product | 168 |
| abstract_inverted_index.related | 76 |
| abstract_inverted_index.reverse | 175 |
| abstract_inverted_index.several | 13 |
| abstract_inverted_index.activity | 149 |
| abstract_inverted_index.analysis | 157 |
| abstract_inverted_index.cassette | 82 |
| abstract_inverted_index.docking. | 154, 193 |
| abstract_inverted_index.failure. | 8 |
| abstract_inverted_index.involves | 12 |
| abstract_inverted_index.observed | 97 |
| abstract_inverted_index.obstacle | 5 |
| abstract_inverted_index.overcome | 123 |
| abstract_inverted_index.products | 117, 144 |
| abstract_inverted_index.strategy | 121 |
| abstract_inverted_index.validate | 198 |
| abstract_inverted_index.(lncRNAs) | 54 |
| abstract_inverted_index.Targeting | 112 |
| abstract_inverted_index.confirmed | 204 |
| abstract_inverted_index.emergence | 89 |
| abstract_inverted_index.important | 196 |
| abstract_inverted_index.including | 15, 62 |
| abstract_inverted_index.induction | 79 |
| abstract_inverted_index.molecular | 153, 192 |
| abstract_inverted_index.noncoding | 52 |
| abstract_inverted_index.resistant | 59, 132, 183 |
| abstract_inverted_index.resulting | 44, 86 |
| abstract_inverted_index.signaling | 19 |
| abstract_inverted_index.validates | 138 |
| abstract_inverted_index.expression | 71, 114, 147 |
| abstract_inverted_index.identified | 57 |
| abstract_inverted_index.impairment | 26 |
| abstract_inverted_index.inhibitors | 169, 173 |
| abstract_inverted_index.inhibitory | 140 |
| abstract_inverted_index.multi-drug | 176 |
| abstract_inverted_index.regulators | 100 |
| abstract_inverted_index.resistance | 1, 11, 92, 126, 177 |
| abstract_inverted_index.transition | 17 |
| abstract_inverted_index.ATP-binding | 81 |
| abstract_inverted_index.Delphinidin | 160 |
| abstract_inverted_index.activation, | 24 |
| abstract_inverted_index.doxorubicin | 91 |
| abstract_inverted_index.expression, | 85 |
| abstract_inverted_index.mechanisms, | 14 |
| abstract_inverted_index.resistance. | 47 |
| abstract_inverted_index.sensitivity | 130, 181 |
| abstract_inverted_index.significant | 166 |
| abstract_inverted_index.transporter | 35 |
| abstract_inverted_index.chemotherapy | 187 |
| abstract_inverted_index.experimental | 211 |
| abstract_inverted_index.transporters | 103 |
| abstract_inverted_index.osteosarcoma. | 94 |
| abstract_inverted_index.Asparagoside-f | 162 |
| abstract_inverted_index.pre-elementary | 200 |
| abstract_inverted_index.P-glycoproteins | 30 |
| abstract_inverted_index.chemotherapies. | 135 |
| abstract_inverted_index.Chemotherapeutic | 0 |
| abstract_inverted_index.chemotherapeutic | 7, 38, 46 |
| abstract_inverted_index.p-glycoprotein-1. | 171 |
| abstract_inverted_index.epithelial-to-mesenchymal | 16 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.83900685 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |