Theranostics 2014; 4(12):1209-1210. doi:10.7150/thno.10503 This issue Cite

Editorial

Multidisciplinary Efforts Driving Translational Theranostics

Tony Y. Hu1, 2 Corresponding address

1. Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX 77030
2. Department of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, New York, New York 10021

Citation:
Hu TY. Multidisciplinary Efforts Driving Translational Theranostics. Theranostics 2014; 4(12):1209-1210. doi:10.7150/thno.10503. https://www.thno.org/v04p1209.htm
Other styles

File import instruction

Abstract

This themed issue summarizes significant efforts aimed at using “biological language” to discern between “friends” and “foes” in the context of theranostics for true clinical application. It is expected that the success of theranostics depends on multidisciplinary efforts, combined to expedite our understanding of host responses to “customized” theranostic agents and formulating individualized therapies.

Keywords: proteomics, bioinformatics, RNA interference, gene delivery, theranostics

 

Diagnostics have lent a heavy hand in guiding medicine toward more informed treatment and management in what is a rapidly expanding discipline termed theranostics [1, 2]. In the last decade, academic researcher and pharmaceutical companies have accelerated the search for markers for disease subtypes, development or refinement of functional biomaterials, and more personalized treatment strategies, signaling the promise of this discipline for clinical translation [3, 4]. Advancements in the fields of chemistry, molecular biology and engineering have facilitated the design, development, and implementation of sophisticated and integrated systems for health care. Theranostics is being applied to explore variability in therapeutic responses in patients to different medications, vaccines, or lifestyle modifications prescribed by physicians [5]. Despite its enormous potential to drive the evolution of precise diagnostic agents and drug delivery at the cellular and molecular level, theranostic medicine still faces challenges, chief among them are the formidable biological barriers such as host immunity [6]. A better understanding of these barriers will inform development of more nuanced theranostic agents that are, for example, capable of navigating effectively and safely toward their intended sites. This special issue summarizes significant efforts aimed at using “biological language” to discern between “friends” and “foes” in the context of theranostics for true clinical application.

Systematic characterization of viral protein-host interactions yields invaluable information about viral invasion/evasion, diagnosis and therapeutic treatment of viral infections, and mechanisms of host biology. To facilitate these investigations, Labare's team released their panviral proteome collection that includes 2,035 ORF clones from 830 viral genes in the Gateway® recombination cloning system [7]. The researchers demonstrated several uses for this viral gene collection such as highly efficient viral protein production in vitro, global identification of host targets for the rubella virus using Nucleic Acid Programmable Protein Arrays (NAPPA) containing 10,000 full-length human proteins, and detection of host serological responses using micro-fluidic multiplexed immunoassays. This study illustrates a systemic utilization of viral ORFs, high-throughput cloning, and proteomic technologies to elucidate host-viral protein interactions. These available plasmid resources add tremendous value to the research community pursuing viral functional studies [7].

In recent years, disease biomarkers research has revealed a number of candidates to explore the mechanisms, underlying patient-specific variability in treatment response and efficacy. Although important first steps have been established, these studies would benefit from additional functional studies to determine underlying molecular mechanisms and thus, clinical utility of these biomarkers. In a separate investigation, a team at John Hopkins identified a set of blood-circulating glycoproteins that can differentiate human immunodeficiency virus (HIV) elite suppressors (ES) from healthy individuals and those with highly active anti-retroviral therapy (HAART) or AIDS [8]. The ES group comprises a very rare form in HIV+ individuals who can suppress viremia without HAART. Bioinformatic analyses revealed a strong correlation between inflammation and changes in protein presentation. Although inflammation-induced glycoprotein differences can be used to distinguish ES and HAART, there appear to be other triggers for inflammation and immune activation between natural and treatment-related viral suppression. Clarifying these unique molecular signatures should improve the design and development of improved clinical strategies for enhancing host resistance against HIV-1. In another study, through the comprehensive proteomics study, the investigator identified a mitochondrial protein that participated in DNA repair and exhibited the responsibility to the doxorubicin resistance in ovarian cancer [9]. Zhao et al. also indicated that miR-194 can act as a tumor suppressor in the colorectal carcinogenesis via targeting PDK1/AKT2/XIAP pathway by investigating it biological effects and mechanisms with a relatively limited samples cohort, and potentially, it could be a new diagnostic or prognostic marker in colorectal cancer [10]. Biomarker discovery is extremely important for the development of personalized medicine. However, we have learned that many reported biomarkers represent “false discoveries”, as the subsequent validation studies may reduce the originally highly promising sensitivities and specificities to levels that are not clinically useful. Authors' next step will determine whether the findings of these informative biomarkers will be refined and validated to a degree that verified their clinical applicability, or will follow the fate of a myriad of biomarkers that either were false discoveries or were put on the shelf for lack of clinical value.

In theranostics studies, approaches based on RNA interference (i.e., small inhibitory RNA or siRNA) have gained much traction due to the virtually unlimited option to silence just about any gene [11]. A critical factor limiting their successful application in vivo is the lack of dynamic delivery systems capable of maneuvering biological barriers to reach target organs or tissues [12, 13]. To address these challenges, Shen group has developed a multi-component system for delivery of siRNA therapeutics, with each component designed to perform one or more specialized functions in negotiating the biological barriers [14]. As a proof-of-concept demonstration, the researchers delivered these multi-component systems loaded with siRNA targeting an essential oncogene to tumor cells. The delivery system with its siRNA payload accumulated at tumor sites and effectively suppressed tumor gene expression. These developments in systemic delivery of siRNA therapeutics underscore a great potential for broad applications both in basic research and in the clinic.

In contrast to the “one-size-fits-all” practices of the past, personalized medicine has emerged to include new designs for individualized drug therapy based on patient-specific characteristics and responses. The field of theranostics aims to promote safer and more efficacious pharmacotherapies that prescribe to patients the correct drug at the appropriate dosage. Success depends on multidisciplinary efforts, combined to expedite our understanding of host responses to “customized” theranostic agents and formulating individualized therapies.

References

1. Choi KY, Liu G, Lee S, Chen X. Theranostic nanoplatforms for simultaneous cancer imaging and therapy: current approaches and future perspectives. Nanoscale. 2012;4(2):330-42

2. Kelkar SS, Reineke TM. Theranostics: combining imaging and therapy. Bioconjugate Chem. 2011;22(10):1879-903

3. Gonzalez de Castro D, Clarke PA, Al-Lazikani B, Workman P. Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance. Clin Pharmacol Ther. 2013;93(3):252-9

4. Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med. 2010;363(4):301-4

5. Vogenberg FR, Barash CI, Pursel M. Personalized medicine: part 1: evolution and development into theranostics. P T. 2010;35(10):560-76

6. Nicolaides NC, O'shannessy DJ, Albone E, Grasso L. Co-development of diagnostic vectors to support targeted therapies and theranostics: Essential tools in personalized cancer therapy. Front Oncol. 2014;4:141

7. Yu X, Bian X, Throop A, Song L, Moral LD, Park J. et al. Exploration of panviral proteome: High-throughput cloning and functional implications in virus-host interactions. Theranostics. 2014;4(8):808-22

8. Yang W, Laeyendecker O, Wendel SK, Zhang B, Sun S, Zhou JY, Ao M, Moore RD, Jackson JB, Zhang H. Glycoproteomic Study Reveals Altered Plasma Proteins Associated with HIV Elite Suppressors. Theranostics. 2014;4(12):1153-1163 doi:10.7150/thno.9510

9. Chen X, Wei S, Ma Y, Lu J, Niu G, Xue Y, Chen X, Yang F. Quantitative Proteomics Analysis Identifies Mitochondria as Therapeutic Targets of Multidrug-Resistance in Ovarian Cancer. Theranostics. 2014;4(12):1164-1175 doi:10.7150/thno.8502

10. Zhao HJ, Ren LL, Wang ZH, Sun TT, Yu YN, Wang YC, Yan TT, Zou W, He J, Zhang Y, Hong J, Fang JY. MiR-194 Deregulation Contributes To Colorectal Carcinogenesis via Targeting AKT2 Pathway. Theranostics. 2014;4(12):1193-1208

11. McManus MT, Sharp PA. Gene silencing in mammals by small interfering RNAs. Nat Rev Genetics. 2002;3(10):737-47

12. Oh YK, Park TG. siRNA delivery systems for cancer treatment. Adv Drug Deliv Rev. 2009;61(10):850-62

13. Shen H, Sun T, Ferrari M. Nanovector delivery of siRNA for cancer therapy. Cancer Gene Ther. 2012;19(6):367-73

14. Shen J, Kim HC, Su H, Wang F, Wolfram J, Kirui D. et al. Cyclodextrin and polyethylenimine functionalized mesoporous silica nanoparticles for delivery of siRNA cancer therapeutics. Theranostics. 2014;4(5):487-97

Author contact

Corresponding address Corresponding author: yhuorg


Received 2014-9-7
Accepted 2014-9-8
Published 2014-9-19


Citation styles

APA
Hu, T.Y. (2014). Multidisciplinary Efforts Driving Translational Theranostics. Theranostics, 4(12), 1209-1210. https://doi.org/10.7150/thno.10503.

ACS
Hu, T.Y. Multidisciplinary Efforts Driving Translational Theranostics. Theranostics 2014, 4 (12), 1209-1210. DOI: 10.7150/thno.10503.

NLM
Hu TY. Multidisciplinary Efforts Driving Translational Theranostics. Theranostics 2014; 4(12):1209-1210. doi:10.7150/thno.10503. https://www.thno.org/v04p1209.htm

CSE
Hu TY. 2014. Multidisciplinary Efforts Driving Translational Theranostics. Theranostics. 4(12):1209-1210.

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See http://ivyspring.com/terms for full terms and conditions.
Popup Image