Literature DB >> 26681920

Precision Medicine for Personalized Cancer Therapy.

Ada Hang-Heng Wong1, Chu-Xia Deng1.   

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Year:  2015        PMID: 26681920      PMCID: PMC4671998          DOI: 10.7150/ijbs.14154

Source DB:  PubMed          Journal:  Int J Biol Sci        ISSN: 1449-2288            Impact factor:   6.580


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Precision medicine is defined as the tailoring of clinical strategies based on genomic, genetic, behavioral and environment background of individual patients. Statistics indicated that traditional clinical practices sometimes lead to poor health outcomes and a waste of medical resources. Medical waste due to unnecessary treatment or ineffective treatment amounted to 75 billion US dollars per year (30% of healthcare expenditure) in the US 1. On 21st January 2015, US President Barack Obama called for a Precision Medicine Initiative that select cancer as one of its immediate targets 2. In March 2015, China announced their Precision Medicine Initiative, which plans to invest a total of 60 billion Renminbi in search for prediction of hereditary diseases in newborns, investigations on antibiotics resistance, preventive measures development and personalized cancer therapy. The United Kingdom also announced a 100,000 Genomes Project involving 70 thousand participants. Hence, precision medicine took center stage in the world's healthcare goals today. Among all countries' objectives, fighting cancer is common to all. GLOBOCAN statistics revealed an estimated 14.1 million newly diagnosed cancer cases (excluding non-melanoma skin cancer), 8.2 million deaths from cancer and 32.6 million people living with cancer (within 5 years of cancer diagnosis) in 2012 worldwide 3. The global economic loss of premature death and disability due to cancer was 895 billion US dollars in 2008, accounting for 1.5% of the world's gross domestic product (GDP) 4. Additionally, the national cost for cancer care in the US amounted to 157 billion US dollars in 2010 5. The war against cancer started in 1971 when US President Richard Nixon signed the National Cancer Act. Although Nixon's War on Cancer largely failed due to a propensity of reasons, it energized many discoveries, including the discovery of numerous markers for cancers. Cancer is the uncontrolled proliferation of cells in an organism leading to aggressive recession of normal cells/tissue, consequently death. Incidence of different cancers correlates to geographical location, sex, living habits, as well as Human Development Index (HDI) that is related to economic development and public health standards. In the beginning, people thought retroviruses were cancer drivers, which was proven wrong and partly attributed to the failure of Nixon's War. In 1976, the discovery of src in transforming normal fibroblasts established the term “oncogene” and led to massive search for oncogenes and tumor suppressor genes. However, this also brought the notion that “cancer is simply the result of gene mutation”, resulting in wide application of reductionist approach to find “unification by simplification” in cancer research field. Later, substantial research on cancer evolution and metastasis revived the notion that “cancer is complex” and brought about a renewed concept of “individuality of cancer” nowadays. Nevertheless, cancer biologists Hanahan and Weinburg summarized ten hallmarks of all cancers, namely: (1) sustainable proliferation; (2) evasion of growth suppressors; (3) avoidance of immune destruction; (4) replicative immortality; (5) tumor-promoting inflammation; (6) invasion and metastasis; (7) angiogenesis induction; (8) genome instability and mutation; (9) resistance of cell death; and (10) reprogramming of energy metabolism 6. In parallel to the evolution of the concept of cancer etiology, cancer therapy also evolved over time 4. Osteosarcoma observed in Egyptian fossils was the first cancer uncovered where “no treatment” was stated. Later, mastectomy emerged. Tumor resection remains the routine treatment strategy for cancer therapy till now. Hormone therapy was developed in the 19th century while radiotherapy was developed at the beginning of the 20th century. Chemotherapy then came by to treat metastatic cancers. However, due to ignorance of cancer cause in the past, chemotherapy mainly manifests “one fits all” approach. Consequently, side effects including nausea, stem cell damage, hair loss, etc, occur frequently. Drug responsiveness of patients also diverge, resulting in poor therapeutic outcomes. Alternatively, targeted cancer therapies, although quite successful initially, frequently fail due to development of drug resistance and adverse side effects. For example, cisplatin is effective for treatment of many cancers, but resistance often develops. Inhibitors against mutant EGFR work well in many cancer patients, but refractory cancers eventually emerge and patients die due to cancer relapse and metastasis. Adverse drug reactions are a significant cause of hospitalization and deaths worldwide 7. Therefore, precision medicine involves a multitude of techniques and research forces like Epigenetics, Proteomics and Metabolomics, and research itself will generate new tools and technology, which will benefit our scientific society as a whole. Furthermore, precision medicine preludes the era of patient-informed therapy. Revelation of patient's genome raises ethical issues of acknowledgement rights in compromise to psychological stress. It also raises political and legal issues regarding liabilities to clinical decision making. According to estimates, the annual cost for cancer treatment for each patient aged 65 or above, on the average, ranges from 5 to 115 thousand US dollars for initial year after diagnosis and from 57 to 141 thousand US dollars for the last year of life from cancer death 8. Thus, despite from clinician's advice, cost immensely affects a patient's decision for his/her treatment and consequently, outcome. Nonetheless, precision medicine, which employs multi-omics to aid prognosis and personalized treatment, presents unprecedented opportunities for patient-informed therapy and subsequently improves clinical practice 9,10. Beyond development in research and clinical practice, the Precision Medicine Initiative also encourages partnership between the academia and healthcare providers. Implementation will also foster collaboration with the industrial and commercial sector, for example, pharmaceutical companies and medical device manufacturers that provide indispensable products and services. Lateral economic expansion, specifically, medical travel, is complimentary. Hence, the Precision Medicine Initiative collectively nurtures and coheres different social sectors on the path to success. In conclusion, the cancer precision medicine will leverage advances in biotechnologies, such as next generation sequencing, proteomics, transcriptome, epigenetics, pharmacology and bioinformatics, to identify precise causes for cancers and develop tailor-fit personalized therapies (Figure 1). As part of the Precision Medicine Initiative, this is an indispensable and near-term goal towards broader application on other diseases including diabetes, obesity, etc. Hence, the recent call for Precision Medicine Initiative rapidly went into spotlight throughout the world.
Figure 1

Precision Medicine for Personalized Cancer Therapy. Precision medicine involves a multitude of technologies in order to gain success. The combination of genomics analysis and drug screening will yield unpredicted pharmacological outcome and reveal information for precise disease diagnosis and treatment.

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1.  Patient-derived models of acquired resistance can identify effective drug combinations for cancer.

Authors:  Adam S Crystal; Alice T Shaw; Lecia V Sequist; Luc Friboulet; Matthew J Niederst; Elizabeth L Lockerman; Rosa L Frias; Justin F Gainor; Arnaud Amzallag; Patricia Greninger; Dana Lee; Anuj Kalsy; Maria Gomez-Caraballo; Leila Elamine; Emily Howe; Wooyoung Hur; Eugene Lifshits; Hayley E Robinson; Ryohei Katayama; Anthony C Faber; Mark M Awad; Sridhar Ramaswamy; Mari Mino-Kenudson; A John Iafrate; Cyril H Benes; Jeffrey A Engelman
Journal:  Science       Date:  2014-11-13       Impact factor: 47.728

Review 2.  Adverse drug reactions in hospitals: a narrative review.

Authors:  Emma C Davies; Christophe F Green; David R Mottram; Munir Pirmohamed
Journal:  Curr Drug Saf       Date:  2007-01

3.  Projections of the cost of cancer care in the United States: 2010-2020.

Authors:  Angela B Mariotto; K Robin Yabroff; Yongwu Shao; Eric J Feuer; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2011-01-12       Impact factor: 13.506

Review 4.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

5.  Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse.

Authors:  Subha Madhavan; Yuriy Gusev; Thanemozhi G Natarajan; Lei Song; Krithika Bhuvaneshwar; Robinder Gauba; Abhishek Pandey; Bassem R Haddad; David Goerlitz; Amrita K Cheema; Hartmut Juhl; Bhaskar Kallakury; John L Marshall; Stephen W Byers; Louis M Weiner
Journal:  Front Genet       Date:  2013-11-20       Impact factor: 4.599

  5 in total
  5 in total

1.  Drug screening of cancer cell lines and human primary tumors using droplet microfluidics.

Authors:  Ada Hang-Heng Wong; Haoran Li; Yanwei Jia; Pui-In Mak; Rui Paulo da Silva Martins; Yan Liu; Chi Man Vong; Hang Cheong Wong; Pak Kin Wong; Haitao Wang; Heng Sun; Chu-Xia Deng
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

Review 2.  Potential therapeutic targets of triple-negative breast cancer based on its intrinsic subtype.

Authors:  Fangyuan Shao; Heng Sun; Chu-Xia Deng
Journal:  Oncotarget       Date:  2017-08-16

3.  Effect of metformin on the survival of patients with ALL who express high levels of the ABCB1 drug resistance gene.

Authors:  Christian Ramos-Peñafiel; Irma Olarte-Carrillo; Rafael Cerón-Maldonado; Etta Rozen-Fuller; Juan Julio Kassack-Ipiña; Guillermo Meléndez-Mier; Juan Collazo-Jaloma; Adolfo Martínez-Tovar
Journal:  J Transl Med       Date:  2018-09-03       Impact factor: 5.531

4.  Accelerating precision anti-cancer therapy by time-lapse and label-free 3D tumor slice culture platform.

Authors:  Fuqiang Xing; Yu-Cheng Liu; Shigao Huang; Xueying Lyu; Sek Man Su; Un In Chan; Pei-Chun Wu; Yinghan Yan; Nana Ai; Jianjie Li; Ming Zhao; Barani Kumar Rajendran; Jianlin Liu; Fangyuan Shao; Heng Sun; Tak Kan Choi; Wenli Zhu; Guanghui Luo; Shuiming Liu; De Li Xu; Kin Long Chan; Qi Zhao; Kai Miao; Kathy Qian Luo; Wei Ge; Xiaoling Xu; Guanyu Wang; Tzu-Ming Liu; Chu-Xia Deng
Journal:  Theranostics       Date:  2021-09-13       Impact factor: 11.556

Review 5.  Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.

Authors:  Mahnoor Naseer Gondal; Safee Ullah Chaudhary
Journal:  Front Oncol       Date:  2021-11-24       Impact factor: 6.244

  5 in total

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