Farida Shabbir Akhtari

Works (7)

Updated: July 8th, 2023 05:00

2023 article

RYK Gene Expression Associated with Drug Response Variation of Temozolomide and Clinical Outcomes in Glioma Patients

Gonzalez, R. D., Small, G. W., Green, A. J., Akhtari, F. S., Havener, T. M., Quintanilha, J. C. F., … Wiltshire, T. (2023, May 10). Pharmaceuticals, Vol. 16.

By: R. Gonzalez *, G. Small*, A. Green n, F. Akhtari*, T. Havener *, J. Quintanilha *, A. Cipriani *, D. Reif*  ...

author keywords: GWAS; chemotherapy; sensitivity; resistance; glioma; drug response; temozolomide; knockdown; overexpression; pharmacogenomics; gene expression; RYK
topics (OpenAlex): Glioma Diagnosis and Treatment; Ferroptosis and cancer prognosis; MicroRNA in disease regulation
TL;DR: The findings suggest that RYK expression may serve as an important prognostic or predictor of TMZ response and survival for glioma patients and a combination of RyK expression and MGMT status could serve as a additional biomarker for improved survival. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 12, 2023

2021 article

Extending the Lymphoblastoid Cell Line Model for Drug Combination Pharmacogenomics

Green, A. J., Anchang, B., Akhtari, F. S., Reif, D. M., & Motsinger-Reif, A. (2021, May 28). Pharmacogenomics, Vol. 5.

By: A. Green n, B. Anchang *, F. Akhtari*, D. Reif n  & A. Motsinger-Reif*

author keywords: combination treatment; drug response; LCLs; omics; synergism
MeSH headings : Antineoplastic Combined Chemotherapy Protocols / administration & dosage; Antineoplastic Combined Chemotherapy Protocols / therapeutic use; Cell Line, Tumor / drug effects; Humans; Lymphocytes / drug effects; Pharmacogenomic Testing / methods
topics (OpenAlex): Pharmacogenetics and Drug Metabolism; Single-cell and spatial transcriptomics; Gene Regulatory Network Analysis
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 29, 2021

2021 article

High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticancer drugs

Akhtari, F. S., Green, A. J., Small, G. W., Havener, T. M., House, J. S., Roell, K. R., … Motsinger-Reif, A. A. (2021, August 26). (F. Vazquez, Ed.). PLoS Genetics, Vol. 17, p. e1009732.

By: F. Akhtari n, A. Green n, G. Small*, T. Havener *, J. House* , K. Roell  n, D. Reif n , H. McLeod, T. Wiltshire*, A. Motsinger-Reif*

Ed(s): F. Vazquez

MeSH headings : Antineoplastic Agents / pharmacology; Biomarkers, Pharmacological / analysis; Cell Line, Tumor; Genome-Wide Association Study / methods; High-Throughput Screening Assays / methods; Humans; NAD(P)H Dehydrogenase (Quinone) / drug effects; NAD(P)H Dehydrogenase (Quinone) / genetics; NAD(P)H Dehydrogenase (Quinone) / metabolism
topics (OpenAlex): Genomics, phytochemicals, and oxidative stress; Cancer therapeutics and mechanisms; DNA Repair Mechanisms
TL;DR: The NAD(P)H quinone dehydrogenase 1 (NQO1) gene was found to be associated with the dose-response of arsenic trioxide, erlotinib, tramet inib, and a combination treatment of paclitaxel + epirubicin. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 27, 2021

2020 article

Race and smoking status associated with paclitaxel drug response in patient-derived lymphoblastoid cell lines

Akhtari, F. S., Havener, T. M., Hertz, D. L., Ash, J., Larson, A., Carey, L. A., … Motsinger-Reif, A. A. (2020, September 15). Pharmacogenetics and Genomics.

By: F. Akhtari n, T. Havener *, D. Hertz *, J. Ash n, A. Larson  n, L. Carey *, H. McLeod *, A. Motsinger-Reif*

author keywords: dose-response; lymphoblastoid cell lines; paclitaxel; patient-derived cell lines; pharmacogenomics; smoking
MeSH headings : Breast Neoplasms / drug therapy; Breast Neoplasms / genetics; Breast Neoplasms / pathology; Cell Line, Tumor; Cell Survival / drug effects; Dose-Response Relationship, Drug; Drug Resistance, Neoplasm / genetics; Female; Humans; Middle Aged; Paclitaxel / adverse effects; Paclitaxel / pharmacology; Pharmacogenetics; Racial Groups / genetics; Smoking / adverse effects; Smoking / genetics
topics (OpenAlex): Cancer Genomics and Diagnostics; Statistical Methods in Clinical Trials; Breast Cancer Treatment Studies
TL;DR: It is indicated that in-vivo smoking status can influence ex- vivo dose-response in LCLs, and more precise measures of covariates may allow for more precise forecasting of clinical effect. (via Semantic Scholar)
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Source: Web Of Science
Added: May 10, 2021

2019 article

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Menden, M. P., Wang, D., Mason, M. J., Szalai, B., Bulusu, K. C., Guan, Y., … Fourches, D. (2019, June 17). Nature Communications.

By: M. Menden *, D. Wang *, M. Mason *, B. Szalai *, K. Bulusu *, Y. Guan *, T. Yu *, J. Kang * ...

MeSH headings : ADAM17 Protein / antagonists & inhibitors; Antineoplastic Combined Chemotherapy Protocols / pharmacology; Antineoplastic Combined Chemotherapy Protocols / therapeutic use; Benchmarking; Biomarkers, Tumor / genetics; Cell Line, Tumor; Computational Biology / methods; Computational Biology / standards; Datasets as Topic; Drug Antagonism; Drug Resistance, Neoplasm / drug effects; Drug Resistance, Neoplasm / genetics; Drug Synergism; Genomics / methods; Humans; Molecular Targeted Therapy / methods; Mutation; Neoplasms / drug therapy; Neoplasms / genetics; Pharmacogenetics / methods; Pharmacogenetics / standards; Phosphatidylinositol 3-Kinases / genetics; Phosphoinositide-3 Kinase Inhibitors; Treatment Outcome
topics (OpenAlex): Computational Drug Discovery Methods; Bioinformatics and Genomic Networks; Protein Degradation and Inhibitors
TL;DR: A large drug combination screen across cancer cell lines is provided to benchmark crowdsourced methods and to computationally predict drug synergies, and genomic rationale for synergy predictions are identified. (via Semantic Scholar)
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Source: Web Of Science
Added: July 1, 2019

2018 article

The influence of Neanderthal alleles on cytotoxic response

Akhtari, F. S., Havener, T. M., Fukudo, M., Jack, J. R., McLeod, H. L., Wiltshire, T., & Motsinger-Reif, A. A. (2018, October 23). PeerJ.

By: F. Akhtari n, T. Havener *, M. Fukudo *, J. Jack n, H. McLeod *, T. Wiltshire *, A. Motsinger-Reif n

author keywords: Neanderthal alleles; Cytotoxic response; Pharmacogenomics; Toxicogenomics; Dose responses; Neanderthal ancestry; Lymphoblastoid cell lines; Anti-cancer drugs; Environmental chemicals; Single nucleotide polymorphisms
topics (OpenAlex): Forensic and Genetic Research; dental development and anomalies; Molecular Biology Techniques and Applications
TL;DR: The results demonstrate the influence of Neanderthal ancestry-informative markers on cytotoxic response and could be important in identifying biomarkers for personalized medicine or in dissecting the underlying etiology of dose response traits. (via Semantic Scholar)
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Source: Web Of Science
Added: November 5, 2018

2017 article

Pharmacogenetic Analysis of the Model‐Based Pharmacokinetics of Five Anti‐HIV Drugs: How Does This Influence the Effect of Aging?

Chen, J., Akhtari, F. S., Wagner, M. J., Suzuki, O., Wiltshire, T., Motsinger‐Reif, A. A., & Dumond, J. B. (2017, December 3). Clinical and Translational Science.

By: J. Chen *, F. Akhtari n, M. Wagner *, O. Suzuki*, T. Wiltshire *, A. Motsinger‐Reif n, J. Dumond *

MeSH headings : ATP Binding Cassette Transporter, Subfamily B / genetics; Adult; Age Factors; Aged; Aging / genetics; Anti-HIV Agents / administration & dosage; Anti-HIV Agents / pharmacokinetics; Anti-HIV Agents / therapeutic use; Cyclin-Dependent Kinase Inhibitor p16 / metabolism; Cytochrome P-450 CYP2B6 / genetics; Drug Combinations; Drug Therapy, Combination / methods; Female; Frail Elderly; HIV Infections / drug therapy; HIV Infections / genetics; Humans; Male; Middle Aged; Multidrug Resistance-Associated Proteins / genetics; Pharmacogenomic Testing / methods; Prospective Studies; Young Adult
topics (OpenAlex): HIV/AIDS drug development and treatment; HIV-related health complications and treatments; Pharmacological Effects and Toxicity Studies
TL;DR: Both age and p16INK4a expression interacted with PGx on ATV and TFV disposition, implying potential dose adjustment based on aging may depend on genetic background. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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