1
|
Yang G, Cao Y, Yang X, Cui T, Tan NZV, Lim YK, Fu Y, Cao X, Bhandari A, Enikeev M, Efetov S, Balaban V, He M. Advancements in nanomedicine: Precision delivery strategies for male pelvic malignancies - Spotlight on prostate and colorectal cancer. Exp Mol Pathol 2024; 137:104904. [PMID: 38788248 DOI: 10.1016/j.yexmp.2024.104904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/10/2024] [Accepted: 05/20/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Pelvic malignancies consistently pose significant global health challenges, adversely affecting the well-being of the male population. It is anticipated that clinicians will continue to confront these cancers in their practice. Nanomedicine offers promising strategies that revolutionize the treatment of male pelvic malignancies by providing precise delivery methods that aim to improve the efficacy of therapeutic outcomes while minimizing side effects. Nanoparticles are designed to encapsulate therapeutic agents and selectively target cancer cells. They can also be loaded with theragnostic agents, enabling multifunctional capabilities. OBJECTIVE This review aims to summarize the latest nanomedicine research into clinical applications, focusing on nanotechnology-based treatment strategies for male pelvic malignancies, encompassing chemotherapy, radiotherapy, immunotherapy, and other cutting-edge therapies. The review is structured to assist physicians, particularly those with limited knowledge of biochemistry and bioengineering, in comprehending the functionalities and applications of nanomaterials. METHODS Multiple databases, including PubMed, the National Library of Medicine, and Embase, were utilized to locate and review recently published articles on advancements in nano-drug delivery for prostate and colorectal cancers. CONCLUSION Nanomedicine possesses considerable potential in improving therapeutic outcomes and reducing adverse effects for male pelvic malignancies. Through precision delivery methods, this emerging field presents innovative treatment modalities to address these challenging diseases. Nevertheless, the majority of current studies are in the preclinical phase, with a lack of sufficient evidence to fully understand the precise mechanisms of action, absence of comprehensive pharmacotoxicity profiles, and uncertainty surrounding long-term consequences.
Collapse
Affiliation(s)
- Guodong Yang
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Yu Cao
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Xinyi Yang
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Te Cui
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | | | - Yuen Kai Lim
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Yu Fu
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Xinren Cao
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Aanchal Bhandari
- HBT Medical College and Dr. R N Cooper Municipal General Hospital, Mumbai, India
| | - Mikhail Enikeev
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Sergey Efetov
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vladimir Balaban
- Clinic of Coloproctology and Minimally Invasive Surgery, Sechenov University, Moscow, Russia
| | - Mingze He
- Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
| |
Collapse
|
2
|
Grypari IM, Tzelepi V, Gyftopoulos K. DNA Damage Repair Pathways in Prostate Cancer: A Narrative Review of Molecular Mechanisms, Emerging Biomarkers and Therapeutic Targets in Precision Oncology. Int J Mol Sci 2023; 24:11418. [PMID: 37511177 PMCID: PMC10380086 DOI: 10.3390/ijms241411418] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/09/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Prostate cancer (PCa) has a distinct molecular signature, including characteristic chromosomal translocations, gene deletions and defective DNA damage repair mechanisms. One crucial pathway involved is homologous recombination deficiency (HRD) and it is found in almost 20% of metastatic castrate-resistant PCa (mCRPC). Inherited/germline mutations are associated with a hereditary predisposition to early PCa development and aggressive behavior. BRCA2, ATM and CHECK2 are the most frequently HRD-mutated genes. BRCA2-mutated tumors have unfavorable clinical and pathological characteristics, such as intraductal carcinoma. PARP inhibitors, due to the induction of synthetic lethality, have been therapeutically approved for mCRPC with HRD alterations. Mutations are detected in metastatic tissue, while a liquid biopsy is utilized during follow-up, recognizing acquired resistance mechanisms. The mismatch repair (MMR) pathway is another DNA repair mechanism implicated in carcinogenesis, although only 5% of metastatic PCa is affected. It is associated with aggressive disease. PD-1 inhibitors have been used in MMR-deficient tumors; thus, the MMR status should be tested in all metastatic PCa cases. A surrogate marker of defective DNA repair mechanisms is the tumor mutational burden. PDL-1 expression and intratumoral lymphocytes have ambivalent predictive value. Few experimental molecules have been so far proposed as potential biomarkers. Future research may further elucidate the role of DNA damage pathways in PCa, revealing new therapeutic targets and predictive biomarkers.
Collapse
Affiliation(s)
- Ioanna-Maria Grypari
- Cytology Department, Aretaieion University Hospital, National Kapodistrian University of Athens, 11528 Athens, Greece
| | - Vasiliki Tzelepi
- Department of Pathology, School of Medicine, University of Patras, 26504 Patras, Greece
| | - Kostis Gyftopoulos
- Department of Anatomy, School of Medicine, University of Patras, 26504 Patras, Greece
| |
Collapse
|
3
|
Arriaga-Canon C, Contreras-Espinosa L, Aguilar-Villanueva S, Bargalló-Rocha E, García-Gordillo JA, Cabrera-Galeana P, Castro-Hernández C, Jiménez-Trejo F, Herrera LA. The Clinical Utility of lncRNAs and Their Application as Molecular Biomarkers in Breast Cancer. Int J Mol Sci 2023; 24:ijms24087426. [PMID: 37108589 PMCID: PMC10138835 DOI: 10.3390/ijms24087426] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/04/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
Given their tumor-specific and stage-specific gene expression, long non-coding RNAs (lncRNAs) have demonstrated to be potential molecular biomarkers for diagnosis, prognosis, and treatment response. Particularly, the lncRNAs DSCAM-AS1 and GATA3-AS1 serve as examples of this because of their high subtype-specific expression profile in luminal B-like breast cancer. This makes them candidates to use as molecular biomarkers in clinical practice. However, lncRNA studies in breast cancer are limited in sample size and are restricted to the determination of their biological function, which represents an obstacle for its inclusion as molecular biomarkers of clinical utility. Nevertheless, due to their expression specificity among diseases, such as cancer, and their stability in body fluids, lncRNAs are promising molecular biomarkers that could improve the reliability, sensitivity, and specificity of molecular techniques used in clinical diagnosis. The development of lncRNA-based diagnostics and lncRNA-based therapeutics will be useful in routine medical practice to improve patient clinical management and quality of life.
Collapse
Affiliation(s)
- Cristian Arriaga-Canon
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan, Mexico City C.P. 14080, Mexico
| | - Laura Contreras-Espinosa
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan, Mexico City C.P. 14080, Mexico
- Posgrado en Ciencias Biológicas, Unidad de Posgrado, Edificio D, 1° Piso, Circuito de Posgrados, Ciudad Universitaria, Coyoacán, Mexico City C.P. 04510, Mexico
| | - Sergio Aguilar-Villanueva
- Departamento de Tumores Mamarios, Instituto Nacional de Cancerología, Tlalpan, Mexico City C.P. 14080, Mexico
| | - Enrique Bargalló-Rocha
- Departamento de Tumores Mamarios, Instituto Nacional de Cancerología, Tlalpan, Mexico City C.P. 14080, Mexico
| | - José Antonio García-Gordillo
- Departamento de Oncología Médica de Mama, Instituto Nacional de Cancerología, Tlalpan, Mexico City C.P. 14080, Mexico
| | - Paula Cabrera-Galeana
- Departamento de Oncología Médica de Mama, Instituto Nacional de Cancerología, Tlalpan, Mexico City C.P. 14080, Mexico
| | - Clementina Castro-Hernández
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan, Mexico City C.P. 14080, Mexico
| | | | - L A Herrera
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, Avenida San Fernando No. 22 Col. Sección XVI, Tlalpan, Mexico City C.P. 14080, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey C.P. 64710, Mexico
| |
Collapse
|
4
|
Glycyl-tRNA Synthetase (GARS) Expression Is Associated with Prostate Cancer Progression and Its Inhibition Decreases Migration, and Invasion In Vitro. Int J Mol Sci 2023; 24:ijms24054260. [PMID: 36901698 PMCID: PMC10001614 DOI: 10.3390/ijms24054260] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 02/23/2023] Open
Abstract
Glycyl-tRNA synthetase (GARS) is a potential oncogene associated with poor overall survival in various cancers. However, its role in prostate cancer (PCa) has not been investigated. Protein expression of GARS was investigated in benign, incidental, advanced, and castrate-resistant PCa (CRPC) patient samples. We also investigated the role of GARS in vitro and validated GARS clinical outcomes and its underlying mechanism, utilizing The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA PRAD) database. Our data revealed a significant association between GARS protein expression and Gleason groups. Knockdown of GARS in PC3 cell lines attenuated cell migration and invasion and resulted in early apoptosis signs and cellular arrest in S phase. Bioinformatically, higher GARS expression was observed in TCGA PRAD cohort, and there was significant association with higher Gleason groups, pathological stage, and lymph nodes metastasis. High GARS expression was also significantly correlated with high-risk genomic aberrations such as PTEN, TP53, FXA1, IDH1, SPOP mutations, and ERG, ETV1, and ETV4 gene fusions. Gene Set Enrichment Analysis (GSEA) of GARS through the TCGA PRAD database provided evidence for upregulation of biological processes such as cellular proliferation. Our findings support the oncogenic role of GARS involved in cellular proliferation and poor clinical outcome and provide further evidence for its use as a potential biomarker in PCa.
Collapse
|
5
|
The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches. Prostate Cancer Prostatic Dis 2022; 25:431-443. [PMID: 35422101 PMCID: PMC9385485 DOI: 10.1038/s41391-022-00537-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/24/2022] [Accepted: 03/30/2022] [Indexed: 12/15/2022]
Abstract
Background Risk stratification or progression in prostate cancer is performed with the support of clinical-pathological data such as the sum of the Gleason score and serum levels PSA. For several decades, methods aimed at the early detection of prostate cancer have included the determination of PSA serum levels. The aim of this systematic review is to provide an overview about recent advances in the discovery of new molecular biomarkers through transcriptomics, genomics and artificial intelligence that are expected to improve clinical management of the prostate cancer patient. Methods An exhaustive search was conducted by Pubmed, Google Scholar and Connected Papers using keywords relating to the genetics, genomics and artificial intelligence in prostate cancer, it includes “biomarkers”, “non-coding RNAs”, “lncRNAs”, “microRNAs”, “repetitive sequence”, “prognosis”, “prediction”, “whole-genome sequencing”, “RNA-Seq”, “transcriptome”, “machine learning”, and “deep learning”. Results New advances, including the search for changes in novel biomarkers such as mRNAs, microRNAs, lncRNAs, and repetitive sequences, are expected to contribute to an earlier and accurate diagnosis for each patient in the context of precision medicine, thus improving the prognosis and quality of life of patients. We analyze several aspects that are relevant for prostate cancer including its new molecular markers associated with diagnosis, prognosis, and prediction to therapy and how bioinformatic approaches such as machine learning and deep learning can contribute to clinic. Furthermore, we also include current techniques that will allow an earlier diagnosis, such as Spatial Transcriptomics, Exome Sequencing, and Whole-Genome Sequencing. Conclusion Transcriptomic and genomic analysis have contributed to generate knowledge in the field of prostate carcinogenesis, new information about coding and non-coding genes as biomarkers has emerged. Synergies created by the implementation of artificial intelligence to analyze and understand sequencing data have allowed the development of clinical strategies that facilitate decision-making and improve personalized management in prostate cancer.
Collapse
|
6
|
Yeh SJ, Chung YC, Chen BS. Investigating the Role of Obesity in Prostate Cancer and Identifying Biomarkers for Drug Discovery: Systems Biology and Deep Learning Approaches. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27030900. [PMID: 35164166 PMCID: PMC8840188 DOI: 10.3390/molecules27030900] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/22/2022] [Accepted: 01/26/2022] [Indexed: 12/21/2022]
Abstract
Prostate cancer (PCa) is the second most frequently diagnosed cancer for men and is viewed as the fifth leading cause of death worldwide. The body mass index (BMI) is taken as a vital criterion to elucidate the association between obesity and PCa. In this study, systematic methods are employed to investigate how obesity influences the noncutaneous malignancies of PCa. By comparing the core signaling pathways of lean and obese patients with PCa, we are able to investigate the relationships between obesity and pathogenic mechanisms and identify significant biomarkers as drug targets for drug discovery. Regarding drug design specifications, we take drug–target interaction, drug regulation ability, and drug toxicity into account. One deep neural network (DNN)-based drug–target interaction (DTI) model is trained in advance for predicting drug candidates based on the identified biomarkers. In terms of the application of the DNN-based DTI model and the consideration of drug design specifications, we suggest two potential multiple-molecule drugs to prevent PCa (covering lean and obese PCa) and obesity-specific PCa, respectively. The proposed multiple-molecule drugs (apigenin, digoxin, and orlistat) not only help to prevent PCa, suppressing malignant metastasis, but also result in lower production of fatty acids and cholesterol, especially for obesity-specific PCa.
Collapse
|
7
|
Zhang J, Chang Y, Xia H, Xu L, Wei X. HIST1H2BN induced cell proliferation and EMT phenotype in prostate cancer via NF-κB signal pathway. Genes Genomics 2021; 43:1361-1369. [PMID: 34537918 DOI: 10.1007/s13258-021-01164-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 09/03/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND The potential role of HIST1H2BN in prostate cancer remains unclear. OBJECTIVE To evaluate the carcinogenic role of HIST1H2BN in prostate cancer. METHODS The expression of HIST1H2BN in prostate cancer was analyzed using TCGA database and clinical samples. The roles and mechanisms of HIST1H2BN were investigated in DU145 and PC3 cells. RESULTS HIST1H2BN was significantly upregulated in prostate cancer. HIST1H2BN knockdown inhibited cell proliferation, migration and EMT phenotype in prostate cancer cells. Downregulating HIST1H2BN diminished the expression and binding activity of NF-κB p65, then influenced the expression of MMP2 and MMP9. CONCLUSION : This is the first study to elaborate a HIST1H2BN-NF-κB-EMT regulatory axis in oncogenesis, indicating that HIST1H2BN might be potential therapeutic target for prostate cancer.
Collapse
Affiliation(s)
- Juan Zhang
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Yuhan Chang
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Haiyan Xia
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
| | - Luwei Xu
- Department of Urinary surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
| | - Xiaowei Wei
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
| |
Collapse
|
8
|
Report From the International Society of Urological Pathology (ISUP) Consultation Conference on Molecular Pathology of Urogenital Cancers. I. Molecular Biomarkers in Prostate Cancer. Am J Surg Pathol 2020; 44:e15-e29. [PMID: 32044806 DOI: 10.1097/pas.0000000000001450] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The combined clinical and molecular heterogeneity of prostate cancer necessitates the use of prognostic, predictive, and diagnostic biomarkers to assist the clinician with treatment selection. The pathologist plays a critical role in guiding molecular biomarker testing in prostate cancer and requires a thorough knowledge of the current testing options. In the setting of clinically localized prostate cancer, prognostic biomarkers such as Ki-67 labeling, PTEN loss or mRNA-based genomic signatures can be useful to help determine whether definitive therapy is required. In the setting of advanced disease, predictive biomarkers, such as the presence of DNA repair deficiency mediated by BRCA2 loss or mismatch repair gene defects, may suggest the utility of poly-ADP ribosylase inhibition or immune checkpoint blockade. Finally, androgen receptor-related biomarkers or diagnostic biomarkers indicating the presence of small cell neuroendocrine prostate cancer may help guide the use of androgen receptor signaling inhibitors and chemotherapy. In this review, we examine the current evidence for several prognostic, predictive and diagnostic tissue-based molecular biomarkers in prostate cancer management. For each assay, we summarize a recent survey of the International Society of Urology Pathology (ISUP) members on current testing practices and include recommendations for testing that emerged from the ISUP Working Group on Molecular Pathology of Prostate Cancer and the 2019 Consultation Conference on Molecular Pathology of Urogenital Cancers.
Collapse
|
9
|
Gao Y, Wang YT, Chen Y, Wang H, Young D, Shi T, Song Y, Schepmoes AA, Kuo C, Fillmore TL, Qian WJ, Smith RD, Srivastava S, Kagan J, Dobi A, Sesterhenn IA, Rosner IL, Petrovics G, Rodland KD, Srivastava S, Cullen J, Liu T. Proteomic Tissue-Based Classifier for Early Prediction of Prostate Cancer Progression. Cancers (Basel) 2020; 12:cancers12051268. [PMID: 32429558 PMCID: PMC7281161 DOI: 10.3390/cancers12051268] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 05/07/2020] [Accepted: 05/11/2020] [Indexed: 01/17/2023] Open
Abstract
Although ~40% of screen-detected prostate cancers (PCa) are indolent, advanced-stage PCa is a lethal disease with 5-year survival rates around 29%. Identification of biomarkers for early detection of aggressive disease is a key challenge. Starting with 52 candidate biomarkers, selected from existing PCa genomics datasets and known PCa driver genes, we used targeted mass spectrometry to quantify proteins that significantly differed in primary tumors from PCa patients treated with radical prostatectomy (RP) across three study outcomes: (i) metastasis ≥1-year post-RP, (ii) biochemical recurrence ≥1-year post-RP, and (iii) no progression after ≥10 years post-RP. Sixteen proteins that differed significantly in an initial set of 105 samples were evaluated in the entire cohort (n = 338). A five-protein classifier which combined FOLH1, KLK3, TGFB1, SPARC, and CAMKK2 with existing clinical and pathological standard of care variables demonstrated significant improvement in predicting distant metastasis, achieving an area under the receiver-operating characteristic curve of 0.92 (0.86, 0.99, p = 0.001) and a negative predictive value of 92% in the training/testing analysis. This classifier has the potential to stratify patients based on risk of aggressive, metastatic PCa that will require early intervention compared to low risk patients who could be managed through active surveillance.
Collapse
Affiliation(s)
- Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Yongmei Chen
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Hui Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Denise Young
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Yingjie Song
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Athena A. Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Claire Kuo
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Thomas L. Fillmore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Richard D. Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
| | - Sudhir Srivastava
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD 20892, USA; (S.S.); (J.K.)
| | - Jacob Kagan
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD 20892, USA; (S.S.); (J.K.)
| | - Albert Dobi
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | | | - Inger L. Rosner
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Gyorgy Petrovics
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Karin D. Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
- Department of Cell, Developmental, and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, USA
- Correspondence: (K.D.R.); (J.C.); (T.L.)
| | - Shiv Srivastava
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
| | - Jennifer Cullen
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA; (Y.C.); (D.Y.); (Y.S.); (C.K.); (A.D.); (G.P.)
- Center for Prostate Disease Research, John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, MD 20814, USA; (I.L.R.); (S.S.)
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
- Correspondence: (K.D.R.); (J.C.); (T.L.)
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (Y.G.); (Y.-T.W.); (H.W.); (T.S.); (A.A.S.); (T.L.F.); (W.-J.Q.); (R.D.S.)
- Correspondence: (K.D.R.); (J.C.); (T.L.)
| |
Collapse
|
10
|
Sadighbayan D, Sadighbayan K, Khosroushahi AY, Hasanzadeh M. Recent advances on the DNA-based electrochemical biosensing of cancer biomarkers: Analytical approach. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.07.020] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
|
11
|
Özyurt C, Canbay ZÇ, Dinçkaya E, Evran S. A highly sensitive DNA aptamer-based fluorescence assay for sarcosine detection down to picomolar levels. Int J Biol Macromol 2019; 129:91-97. [PMID: 30738156 DOI: 10.1016/j.ijbiomac.2019.02.030] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 02/01/2019] [Accepted: 02/05/2019] [Indexed: 12/23/2022]
Abstract
Sarcosine is an amino acid derivative, which is considered as a key metabolite in various metabolic processes. Therefore, simple and sensitive detection methods are needed for further understanding its metabolic role and diagnostic value. In this study, we developed a novel method that meets the need for practical and sensitive detection in a complex medium mimicking urine conditions. For this aim, we selected sarcosine-specific DNA aptamers using graphene oxide-assisted systemic evolution of ligands by exponential enrichment (GO-SELEX). The candidate aptamers were labeled with 6-carboxyfluorescein (6-FAM) at their 5' ends. Two aptamers, namely 9S and 13S produced a significant fluorescence signal upon sarcosine binding. Both aptamers enabled a sensitive analysis with a detection limit of 0.5 pM. The linear detection ranged between 5 pM and 50 μM for 9S aptamer, while 13S aptamer enabled a wider linear detection range between 5 pM and 500 μM. The aptamer-based assay allowed rapid detection with no need for chemical derivatization of sarcosine and sophisticated instruments. Moreover, the aptamer-based assay was free of interference from urea and human serum albumin.
Collapse
Affiliation(s)
- Canan Özyurt
- Department of Biochemistry, Faculty of Science, Ege University, 35100 Bornova-İzmir, Turkey
| | - Zeynep Çelik Canbay
- Department of Biochemistry, Faculty of Science, Ege University, 35100 Bornova-İzmir, Turkey
| | - Erhan Dinçkaya
- Department of Biochemistry, Faculty of Science, Ege University, 35100 Bornova-İzmir, Turkey
| | - Serap Evran
- Department of Biochemistry, Faculty of Science, Ege University, 35100 Bornova-İzmir, Turkey.
| |
Collapse
|
12
|
Farina NH, Zingiryan A, Vrolijk MA, Perrapato SD, Ades S, Stein GS, Lian JB, Landry CC. Nanoparticle-based targeted cancer strategies for non-invasive prostate cancer intervention. J Cell Physiol 2018; 233:6408-6417. [PMID: 29663383 DOI: 10.1002/jcp.26593] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 03/09/2018] [Indexed: 01/07/2023]
Abstract
Prostate cancer is screened by testing circulating levels of the prostate-specific antigen (PSA) biomarker, monitoring changes over time, or a digital rectal exam. Abnormal results often lead to prostate biopsy. Prostate cancer positive patients are stratified into very low-risk, low-risk, intermediate-risk, and high-risk, based on clinical classification parameters, to assess therapy options. However, there remains a gap in our knowledge and a compelling need for improved risk stratification to inform clinical decisions and reduce both over-diagnosis and over-treatment. Further, current strategies for clinical intervention do not distinguish clinically aggressive prostate cancer from indolent disease. This mini-review takes advantage of a large number of functionally characterized microRNAs (miRNA), epigenetic regulators of prostate cancer, that define prostate cancer cell activity, tumor stage, and circulate as biomarkers to monitor disease progression. Nanoparticles provide an effective platform for targeted delivery of miRNA inhibitors or mimics specifically to prostate tumor cells to inhibit cancer progression. Several prostate-specific transmembrane proteins expressed at elevated levels in prostate tumors are under investigation for targeting therapeutic agents to prostate cancer cells. Given that prostate cancer progresses slowly, circulating miRNAs can be monitored to identify tumor progression in indolent disease, allowing identification of miRNAs for nanoparticle intervention before the crucial point of transition to aggressive disease. Here, we describe clinically significant and non-invasive intervention nanoparticle strategies being used in clinical trials for drug and nucleic acid delivery. The advantages of mesoporous silica-based nanoparticles and a number of candidate miRNAs for inhibition of prostate cancer are discussed.
Collapse
Affiliation(s)
- Nicholas H Farina
- Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont.,UVM Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Areg Zingiryan
- Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Michael A Vrolijk
- Department of Chemistry, College of Arts and Sciences, University of Vermont, Burlington, Vermont
| | - Scott D Perrapato
- UVM Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Surgery, Division of Urology, Larner College of Medicine, University of Vermont Medical Center, Burlington, Vermont
| | - Steven Ades
- UVM Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Medicine, Division of Hematology and Oncology, Larner College of Medicine, University of Vermont Medical Center, Burlington, Vermont
| | - Gary S Stein
- Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont.,UVM Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Jane B Lian
- Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont.,UVM Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Christopher C Landry
- Department of Chemistry, College of Arts and Sciences, University of Vermont, Burlington, Vermont
| |
Collapse
|