Nanotechnological Approaches in Prostate Cancer Therapy: Integration of engineering and biology

Ashrafizadeh, Milad; Aghamiri, Seyed Mahmoud Reza; Tan, Shing Cheng; Zarrabi, Ali; Sharifi, Esmaeel; Rabiee, Navid; Kadumudi, Firoz Babu; Dolatshahi-Pirouz, Alireza; Delfi, Masoud; Byrappa, K.; Thakur, Vijay Kumar; Kumar, Kothanahally S. Sharath; Girish, Yarabahally R.; Zandsalimi, Farshid; Zare, Ehsan Nazarzadeh; Orive, Gorka; Tay, Franklin R.; Hushmandi, Kiavash; Kumar, Alan Prem; Karaman, Ceren; Karimi‐Maleh, Hassan; Mostafavi, Ebrahim; Makvandi, Pooyan; Wang, Yuzhuo

doi:10.1016/j.nantod.2022.101532

Cited by 56 publications

(8 citation statements)

References 291 publications

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“…These findings show that Rapamycin may increase the sensitivity of breast miRNAs are noncoding RNAs that work posttranscriptionally as gene regulators in various biological processes. 49,50 Almost every aspect of BC, including cell proliferation, apoptosis, metastasis, cancer recurrence, and chemoresistance, is influenced by oncogenic or tumor suppressor miRNAs. 51 We selected six miRNAs with the highest score in the GRN.…”

Section: Discussionmentioning

confidence: 99%

A systems biology approach and in vitro experiment indicated Rapamycin targets key cancer and cell cycle‐related genes and miRNAs in triple‐negative breast cancer cells

Tafti,

Shojaei,

Zali

et al. 2023

Molecular Carcinogenesis

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An anticancer drug known as Rapamycin acts by inhibiting the mammalian target of the Rapamycin pathway. This agent has recently been investigated for its potential therapeutic benefits in sensitizing drug‐resistant breast cancer (BC) treatment. The molecular mechanism underlying these effects, however, is still a mystery. Using a systems biology method and in vitro experiment, this study sought to discover essential genes and microRNAs (miRNAs) targeted by Rapamycin in triple‐negative BC (TNBC) cells to aid prospective new medications with less adverse effects in BC treatment. We developed the transcription factor‐miRNA‐gene and protein−protein interaction networks using the freely accessible microarray data sets. FANMOD and MCODE were utilized to identify critical regulatory motifs, clusters, and seeds. Then, functional enrichment analyses were conducted. Using topological analysis and motif detection, the most important genes and miRNAs were discovered. We used quantitative real‐time polymerase chain reaction (qRT‐PCR) to examine the effect of Rapamycin on the expression of the selected genes and miRNAs to verify our findings. We performed flow cytometry to investigate Rapamycin's impact on cell cycle and apoptosis. Furthermore, wound healing and migration assays were done. Three downregulated (PTGS2, EGFR, VEGFA) and three upregulated (c‐MYC, MAPK1, PIK3R1) genes were chosen as candidates for additional experimental verification. There were also three upregulated miRNAs (miR‐92a, miR‐16, miR‐20a) and three downregulated miRNAs (miR‐146a, miR‐145, miR‐27a) among the six selected miRNAs. The qRT‐PCR findings in MDA‐MB‐231 cells indicated that c‐MYC, MAPK1, PIK3R1, miR‐92a, miR‐16, and miR‐20a expression levels were considerably elevated following Rapamycin treatment, whereas PTGS2, EGFR, VEGFA, miR‐146a, and miR‐145 expression levels were dramatically lowered (p < 0.05). These genes are engaged in cancer pathways, transcriptional dysregulation in cancer, and cell cycle, according to the top pathway enrichment findings. Migration and wound healing abilities of the cells declined after Rapamycin treatment, and the number of apoptotic cells increased. We demonstrated that Rapamycin suppresses cell migration and metastasis in the TNBC cell line. In addition, our data indicated that Rapamycin induces apoptosis in this cell line. The discovered vital genes and miRNAs affected by Rapamycin are anticipated to have crucial roles in the pathogenesis of TNBC and its therapeutic resistance.

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Section: Discussionmentioning

confidence: 99%

A systems biology approach and in vitro experiment indicated Rapamycin targets key cancer and cell cycle‐related genes and miRNAs in triple‐negative breast cancer cells

Tafti,

Shojaei,

Zali

et al. 2023

Molecular Carcinogenesis

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“…With the mechanism for detection being the same, SERS has been extensively used for the detection of several other cancers, including gastric [ 189 ], oral, liver, ovarian [ 190 , 191 ], and prostate cancers [ 192 , 193 , 194 , 195 , 196 , 197 ]. Gastric cancer diagnoses have been performed using different plasmonic materials by analyzing SERS spectra of serum samples [ 198 , 199 , 200 ], blood plasma [ 201 ], exosomes [ 202 ], extracellular vesicles [ 203 ], telomerase [ 204 ], saliva [ 205 ], and ctDNA [ 206 ].…”

Section: Sers For Disease Diagnosismentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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“…PCa can migrate to the liver, lungs, or bones, and patients with advanced PCa have a roughly 30% five-year survival rate. 5 Urine and blood indicators have already been utilized to identify prostate cancer. Prostate cancer detection tools include the Digital Rectal Examination (DRE), Prostate Specific Antigen (PSA), and Transrectal Ultrasound Scan (TRUS).…”

Section: Introductionmentioning

confidence: 99%

“…PCa can migrate to the liver, lungs, or bones, and patients with advanced PCa have a roughly 30% five-year survival rate. 5…”

Section: Introductionmentioning

confidence: 99%

Functionalized magnetic nanoparticles for electrochemical magneto biosensing of PSMA cancer biomarker

Aydın,

Sezgintürk

2024

New J. Chem.

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Nanotechnological Approaches in Prostate Cancer Therapy: Integration of engineering and biology

Cited by 56 publications

References 291 publications

A systems biology approach and in vitro experiment indicated Rapamycin targets key cancer and cell cycle‐related genes and miRNAs in triple‐negative breast cancer cells

A systems biology approach and in vitro experiment indicated Rapamycin targets key cancer and cell cycle‐related genes and miRNAs in triple‐negative breast cancer cells

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Functionalized magnetic nanoparticles for electrochemical magneto biosensing of PSMA cancer biomarker

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