| Literature DB >> 31035440 |
Anubhab Mukherjee1, Manash Paul2, Sudip Mukherjee3.
Abstract
Lung cancer is one of the leading causes of cancer-related death worldwide. Non-small cell lung cancer (NSCLC) causes around 80% to 90% of deaths. The lack of an early diagnosis and inefficiency in conventional therapies causes poor prognosis and overall survival of lung cancer patients. Recent progress in nanomedicine has encouraged the development of an alternative theranostics strategy using nanotechnology. The interesting physico-chemical properties in the nanoscale have generated immense advantages for nanoparticulate systems for the early detection and active delivery of drugs for a better theranostics strategy for lung cancer. This present review provides a detailed overview of the recent progress in the theranostics application of nanoparticles including liposomes, polymeric, metal and bio-nanoparticles. Further, we summarize the advantages and disadvantages of each approach considering the improvement for the lung cancer theranostics.Entities:
Keywords: cancer therapy; clinical status; lung cancer; nanomedicine; theranostics
Year: 2019 PMID: 31035440 PMCID: PMC6562381 DOI: 10.3390/cancers11050597
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Schematic representation of different theranostics nanomedicine approaches in lung cancer theranostics.
Figure 2In vivo optical imaging and thermo-chemotherapy using the nanogel. (a,b) are optical images of healthy mice and tumor bearing mice, respectively. (c) Light responsive imaging. The nanogels were intravenously injected and 670 nm laser was applied to the tumors for 30 min. (d) Ex vivo imaging and fluorescence intensities of tumors and normal tissues. Organs were arranged in the following order: Tumor (T), kidney (K), heart (H), spleen (S), liver (Li), and lung (Lu). (e) Thermo-chemotherapy after treating doxorubicin and the nanogels with and without laser irradiation. (f) Body weight changes of mice after treatment with the nanogels. The data were plotted as mean ± SEM (n = 5). Reproduced from [56]. Copyright © 2015 Royal Society of Chemistry.
Figure 3(a) Sonication process images. Treatment planning software on the MRgFUS workstation. In total, five sonications are needed to measure the circumference of this tumor. (b) Tissue temperature mapping during MRgFUS ablation. (c) Real-time temperature change in MRgFUS ablation monitored by MRI. (d) Schematic illustration of therapeutic temperature map in tumor center and margin. Sonication energy (e) and therapeutic peak temperature (f) of negative control (low power, 54 W), control (76 W), PEG-SPIO (54 W), and anti-EGFR-PEG-SPIO (32 W) at 4 h post-injection of SPIO nanoparticles. (g) Anti-EGFR-PEG-SPIO group: Coronal T2WI image signal intensity of tumor before treatment and after treatment. The coronal T2WI signal intensities of tumor increased significantly after therapy compared to before therapy (Figure 6g). Enhanced axial T1WI-weighted images after injection of Gd-DTPA. Axial contrast-enhance T1WI subtraction images after injection of Gd-DTPA showed a small focal area of nonperfusion. Reproduced from [87]. Copyright © 2017. Elsevier.