Functional Tests: The Future of True Personalized Medicine in Oncology
Barbara Bessette*
Universite de Limoges, Limoges, France
- Corresponding Author:
- Barbara Bessette
Universite de Limoges, France.
E-mail: barbara.bessette@unilim.fr
Received Date: 09/12/2016; Accepted Date: 16/01/2017; Published Date: 23/01/2017
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Introduction
Since a couple of years, personalized medicine has become fashionable. Numerous research works have developed new
approaches aiming at individualizing treatment for cancers. The expansion of targeted therapies like tyrosine kinase receptors
inhibitors (TKI) [1-4] or monoclonal antibodies [5-7] are all evidence of such trend. Moreover, and despite constant progresses in
tumour genotyping [8,9] (which makes precision medicine accessible only to very few patients), two individuals developing the same
cancer still receive the same therapeutics in the majority of case! For more than 10 years and in several countries, an alternative
approach has already proved worthwhile.
It is based on the concept that each tumor is unique [10-14]. From this postulate emerges the evidence that two patients with
the same diagnosis do not necessarily have to be treated in the same way [15]. Thus, the development of ITRT (Individualized Tumor
Response Testing), also called “functional tests”, addresses this issue [15-19]. In United States, Japan or France, many researchers
develop and promote reliable tests to determine what will be the more efficient therapeutic(s) to destroy « THE tumor of ONE patient
». In December 2015, eminent journal Nature Reviews Cancer published: « Precision medicine for cancer with next-generation
functional diagnostics » [20]. This article highlights the fact that precision medicine can increase up to 70% the efficiency of first
therapeutic line, and can even double the progression-free survival of patients. These major advances, associated with targeted
therapies, are bringing us into the personalized medicine of tomorrow.
References
- Lee CW, et al. A phase II trial of gefitinib in patients with malignant pleural mesothelioma (MPM). J Clin Oncol. 2008;20:14614.
- Brower JV and Robins HI. Erlotinib for the treatment of brain metastases in non-small cell lung cancer. Expert Opin Pharmacother. 2016;17:1013-1021.
- Ellis PM. Anti-angiogenesis in personalized therapy of lung cancer. Adv Exp Med Biol. 2016;893:91-126.
- Awada G, et al. Emerging drugs targeting human epidermal growth factor receptor 2 (HER2) in the treatment of breast cancer. Expert Opin Emerg Drugs. 2016;21:91-101.
- Maury S, et al. Rituximab in B-lineage adult acute lymphoblastic leukemia. N Engl J Med. 2016;15:1044-1053.
- Li J, et al. A bispecific antibody (ScBsAbAgn-2/TSPO) target for Ang-2 and TSPO resulted in therapeutic effects against glioblastomas. Biochem Biophys Res Commun. 2016;1472:384-391.
- Wang Y, et al. The role of a single angiogenesis inhibitor in the treatment of recurrent glioblastoma multiforme: A meta-analysis and systematic review. PLoS ONE. 2016;11:e0152170.
- Darwish S, et al. EGFR, KRAS, PIK3CA mutations and response to tyrosine kinase inhibitors (TKIs) in advanced NSCLC patients. J Clin Oncol. 2008;26:22003.
- Relling MV and Evans WE. Pharmacogenomics in the clinic. Nature. 2015;526:343-350.
- Friedmann-Morvinski D. Glioblastoma heterogeneity and cancer cell plasticity. Crit Rev Oncog. 2014;19:327-336.
- Neelakantan D, et al. Intratumoral heterogeneity: Clonal cooperation in epithelial-to-mesenchymal transition and metastasis. Cell Adh Migr. 2015;9:265-276.
- Faurobert E. Microenvironment, tumor cell plasticity and cancer. Curr Opin Oncol. 2015;27:64-70.
- Friedmann-Morvinski D. Glioblastoma heterogeneity and cancer cell plasticity. Crit Rev Oncog. 2014;19:327-336.
- Meacham CE and Morrison SJ. Tumour heterogeneity and cancer cell plasticity. Nature. 2013;501:328-337.
- Kadia TM, et al. Toward individualized therapy in acute myeloid leukemia: A contemporary review. JAMA Oncol. 2015;1:820-828.
- Yoon YS, Kim JC. Recent applications of chemosensitivity tests for colorectal cancer treatment. World J Gastroenterol. 2014;20:16398-16408.
- Pemovska T. Individualized systems medicine strategy to tailor treatments for patients with chemorefractory acute myeloid leukemia. Cancer Discov. 2013;3:1416-1429.
- Bounaix Morand du Puch C, et al. Chemotherapy outcome predictive effectiveness by the oncogramme: Pilot trial on stage-IV colorectal cancer. J Transl Med. 2016;12:10.
- Giraud S, et al. Oncogramme responses of breast tumour cells treated with herceptin correlate with HER2/C-ERB B2 pathological status. Anticancer Res. 2012;32:1323-1325.
- Friedman AA, et al. Precision medicine for cancer with next-generation functional diagnostics. Nat Rev Cancer. 2015;15:747-756.