A thermo-responsive alginate nanogel platform co-loaded with gold nanoparticles and cisplatin for combined cancer chemo-photothermal therapy

Mirrahimi, Mehri; Abed, Ziaeddin; Beik, Jaber; Shiri, Isaac; Dezfuli, Amin Shiralizadeh; Mahabadi, Vahid Pirhajati; Kamrava, Seyed Kamran; Ghaznavi, Habib; Shakeri‐Zadeh, Ali

doi:10.1016/j.phrs.2019.01.005

Cited by 131 publications

(57 citation statements)

References 41 publications

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“…As a recently developed paradigm of advanced medical image quantification, radiomics has garnered significant interests given its cost-effectiveness and reliability to characterize tumor heterogeneity, and has enabled improved assessment of therapy response and prediction of molecular pathways (10)(11)(12)(13)(14). Accumulating evidence has identified several radiomic features extracted from computed tomography (CT), magnetic resonance (MR) or positron emission tomography (PET) images as highly correlated with genomic parameters in several cancers (8,(15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

Shiri¹,

Maleki²,

Hajianfar³

et al. 2020

Mol Imaging Biol

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102

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Conflicts of Interest:The authors declare no potential conflicts of interest. Abstract PurposeConsiderable progress has been made in assessment and management of NSCLC patients based on mutation status in the EGFR and KRAS. At the same time, NSCLC management through KRAS and EGFR mutation profiling faces some challenges. In the present work, we aimed to evaluate a comprehensive radiomics framework that enabled prediction of EGFR and KRAS mutation status in NSCLC cancer patients based on low dose CT, diagnostic CT, PET modalities radiomic features and machine learning (ML) algorithms. MethodsOur study involved NSCLC cancer patient with 186 PET, and 175 low dose CT and CTD images. More than twenty thousand radiomic features from different image-feature sets were extracted. Conventional clinically used standard uptake value (SUV) parameters were also obtained for PET images. Feature value was normalized to obtain Z-scores, followed by student t-test students for comparison, high correlated features were eliminated and the False discovery rate (FDR) correction were performed and q-value were reported for univariate analysis. Six feature selection methods and twelve classifiers were used to predict gene status in patient. We performed 10-fold cross-validation for model tuning to improve robustness and all model evaluation was reported on independent validation sets (68 patients). The mean area under the receiver operator characteristic (ROC) curve (AUC) was obtained for performance evaluation. ResultsThe best predictive power of conventional PET parameters was achieved by SUVpeak (AUC: 0.69, P-value = 0.0002) and MTV (AUC: 0.55, P-value = 0.0011) for EGFR and KRAS, respectively. Univariate analysis of extracted radiomics features improved prediction power up to AUC: 75 (q-value: 0.003, Short Run Emphasis feature of GLRLM from LOG preprocessed image of PET with sigma value 1.5) and AUC: 0.71 (q-value 0.00005, The Large Dependence Low Gray Level Emphasis from GLDM in LOG preprocessed image of CTD sigma value 5) for EGFR and KRAS, respectively. Furthermore, the machine learning algorithm improved the perdition power up to AUC: 0.82 for EGFR (LOG preprocessed of PET image set with sigma 3 with VT feature selector and SGD classifier) and AUC: 0.83 for KRAS (CT image set with sigma 3.5 with SM feature selector and SGD classifier). ConclusionOur findings demonstrated that non-invasive and reliable radiomics analysis can be successfully used to predict EGFR and KRAS mutation status in NSCLC patients. We demonstrated that radiomic features extracted from different image-feature sets could be used for EGFR and KRAS mutation status prediction in NSCLC patients, and showed that they have more predictive power than conventional imaging parameters.This study was conducted on 211 NSCLC cancer patients with available imaging and genomic data. Imaging modalities, including diagnostic CT (CTD) and PET/CT (i.e., low-dose CT (CT) used for PET attenuation correction and the PET image) for all patients were obtained (29-32) . All images we...

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Section: Introductionmentioning

confidence: 99%

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

Shiri¹,

Maleki²,

Hajianfar³

et al. 2020

Mol Imaging Biol

Self Cite

102

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“…The ACA nanocomplex was synthesized as reported previously . In brief, 50 mg of hydrogen tetrachloroaurate (III) trihydrate (HAuCl4) was dissolved in 10 mL of deionized water, then dropwise added to the 30 mL of 0.3% alginic acid sodium salt to form an Au 3+ ‐alginic acid sodium salt mixture.…”

Section: Methodsmentioning

confidence: 99%

Enhancement of chemoradiation by co‐incorporation of gold nanoparticles and cisplatin into alginate hydrogel

et al. 2019

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Nonspecificity and high toxicity limit the treatment efficacy and safety of chemoradiation therapy. Effective tumor targeting of anticancer drugs and radiosensitizing agents is highly desirable to amplify the efficacy of this standard cancer therapy approach. To achieve this goal, we exploited the synergy of cisplatin and gold nanoparticles (AuNPs) co‐loaded into alginate hydrogel network, forming so‐called ACA nanocomplex, and X‐ray radiation. Cisplatin is a commonly used anticancer agent, and at the same time, along with AuNPs could function as radiosensitizers to enhance the radiation‐induced damages through various pathways. The ACA nanocomplex improved the therapeutic efficiency of standard chemotherapy and yielded 79% growth inhibition in CT26 colon adenocarcinoma tumor after 28 days, which was significantly higher than that of 9% for free cisplatin administration. Moreover, the combination of ACA nanocomplex with 6 MV X‐ray dramatically suppressed tumor growth up to 95%, showing 51% enhancement in antitumor activity compared to standard chemoradiation. The nanocomplex developed herein holds the promise to promote the efficiency of standard chemoradiation while maintaining the patient's safety through reducing the clinically administered doses of anticancer drug and X‐ray. © 2019 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B:2658–2663, 2019.

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“…Interestingly, PTTcombined Dox presented more efficient inhibition of tumor growth than PTT or Dox alone, and PTT combined CQ and Dox could achieve the most efficient inhibition of tumor growth, while a series of studies by Ali Shakeri-Zadeh et al also supported that the combination of PTT and chemotherapy could achieve synergistic therapeutic outcome and be promising in cancer therapy. [38][39][40][41][42][43][44] Given this finding, we thought it is promising to change the current situation of the chemoresistance of GBC. In combination with PTT and CQ, it is possible to reduce the dosage of chemotherapeutic drugs while achieving equivalent or even better therapeutic effect.…”

Section: The Cytotoxic Effect Of Ptt Could Be Enhanced By Chemotherapmentioning

confidence: 96%

<p>Gallbladder Cancer Progression Is Reversed by Nanomaterial-Induced Photothermal Therapy in Combination with Chemotherapy and Autophagy Inhibition</p>

Cai¹,

Wang²,

Wang³

et al. 2020

IJN

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Introduction: Gallbladder cancer (GBC) is the most common malignancy in biliary tract with extremely poor prognosis. Photothermal therapy (PTT) shows great promises for tumor therapy, which causes tumor cell death via selectively directed heating released by nanoparticles under the near-infrared irradiation. Through degrading damaged organelles and misfolded proteins in autophagosomes, autophagy plays a vital role in maintaining the intracellular homeostasis. The present study attempted to combine chemotherapy and autophagy blocking with PTT. Materials and Methods: We purchased multi-walled carbon nanotubes from Nanostructured and Amorphous Materials and performed PTT using an 808-nm diode laser. The cytotoxic effects of PTT and chemotherapy in vitro were assessed by cell viability analysis. The effects of PTT and chemotherapy on autophagy in vitro were assessed by GFP-LC3 and Western blot. And these results were confirmed by in vivo experiment. Results: Both PTT and chemotherapy could trigger cytoprotective autophagy to tolerate the cellular stresses and prolong the survival of GBC cell; therefore, the blocking of autophagy could enhance the efficacy of PTT and chemotherapy in GBC treatment in vitro and in vivo. Conclusion: Chemotherapeutic drug doxorubicin and autophagy inhibitor chloroquine could enhance the efficacy of nanoparticle-mediated hyperthermia in GBC.

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A thermo-responsive alginate nanogel platform co-loaded with gold nanoparticles and cisplatin for combined cancer chemo-photothermal therapy

Cited by 131 publications

References 41 publications

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

Enhancement of chemoradiation by co‐incorporation of gold nanoparticles and cisplatin into alginate hydrogel

<p>Gallbladder Cancer Progression Is Reversed by Nanomaterial-Induced Photothermal Therapy in Combination with Chemotherapy and Autophagy Inhibition</p>

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