| Literature DB >> 31281417 |
Ali Calderón-Aparicio1, Andrea Orue1.
Abstract
BACKGROUND: Anti-cancer cytotoxic treatments like platinum-derived compounds often show low therapeutic efficacy, high-risk side effects and resistance. Hence, targeted treatments designed to attack only tumour cells avoiding these harmful side effects are highly needed in clinical practice. Due to this, precision oncology has arisen as an approach to specifically target alterations present only in cancer cells, minimising side effects for patients. It involves the use of molecular biomarkers present in each kind of tumour for diagnosis, prognosis and treatment. Since these biomarkers are specific for each cancer type, physicians use them to stratify, diagnose or take the best therapeutic options for each patient depending on the features of the specific tumour. AIM: This review aims to describe the current situation, limitations, advantages and perspectives about precision oncology in Latin America. MAIN BODY: For many years, many biomarkers have been used in a clinical setting in developed countries. However, in Latin American countries, their broad application has not been affordable partially due to financial and technical limitations associated with precarious health systems and poor access of low-income populations to quality health care. Furthermore, the genetic mixture in Latin American populations could generate differences in treatment responses from one population to another (pharmacoethnicity) and this should be evaluated before establishing precision therapy in particular populations. Some research groups in the region have done a lot of work in this field and these data should be taken as a starting point to establish networks oriented to finding clinically useful cancer biomarkers in Latin American populations.Entities:
Keywords: Latin America; access to health care; biomarkers; cancer; precision oncology; targeted therapy
Year: 2019 PMID: 31281417 PMCID: PMC6546257 DOI: 10.3332/ecancer.2019.920
Source DB: PubMed Journal: Ecancermedicalscience ISSN: 1754-6605
Figure 1.Steps for applying precision medicine in clinic. A) Different patients carry different biomarkers in the same type of cancer. B) Diagnosis of biomarkers allows to stratify patients depending on its specific alteration. C) Targeted-therapies are given to each individual patient to get higher benefits compared to standard therapy.
Flowchart 1.Process for selection of papers working on biomarkers for precision oncology in Latin-America.
Relevant genetic biomarkers for precision oncology used in clinics worldwide.
| Biomarker | Anomalies | Sample type | Therapy | Alteration | Type of Biomarker | Cancer type | Reference |
|---|---|---|---|---|---|---|---|
| BRCA1/2 | Mutation, Deletion | Blood | Poly-ADP ribose polymerase (PARP) inhibitor (Olaparib) | Impaired and DNA repair | Predictive and prognostic | Breast cancer | [ |
| HER2/neu ErB-B2 | Gene amplification | Tissue | Trastuzumab | Sustains proliferative growth signals | Predictive and prognostic | Breast and gastric Cancers | [ |
| ER/PR | Gene expression | Tissue | Tamoxifen | Sustains proliferative growth signals | Primary target of drug. | Breast and ovarian cancer | [ |
| EGFR | Gene overexpression | Tissue | Cetuximab | Constitutively activates MEK/ERK pro-growth signalling | Predictive and prognostic biomarker | Colorectal carcinoma (CRC) | [ |
| EGFR | Gene mutation | Tissue | Gefitinib | Constitutively activates MEK/ERK pro-growth signalling | Predictive and prognostic biomarker | Non-small cell lung cancer (NSCLC) | [ |
| HRAS/KRAS (codons 12, 13, 61, 146) | Gene mutation | Tissue | Cetuximab | Constitutively activates MEK/ERK pro-growth signalling | Associated with poor response to therapy | CRC, NSCLC, pancreatic cancer | [ |
| BRAF | Gene mutation | Tissue | Panitumumab | Constitutively activates MEK/ERK pro-growth signalling | Prognostic biomarker | Melanoma, CRC, thyroid cancer | [ |
| BCR-ABL | Translocation. Chromosome | Blood, bone marrow | Imatinib, Dasatinib | Compromises fidelity of DNA repair, deregulates proliferation, impairs apoptosis and differentiation | Predictive and prognostic biomarker | Chronic myelogenous leukaemia | [ |
| BCL2 | Gene expression | Tissue | Venetoclax | Impairs apoptosis | Predictive and prognostic biomarker | Leukaemia, lymphoma, melanoma | [ |
| IDH1/2 | Gene mutation | Blood | AG120, AG221, AG881 | Promote DNA hypermethylation, disrupts differentiation. | Prognostic biomarker. | Acute myeloid leukaemia, gliomas. | [ |
| EZH2 | Overexpression and overactivation of the gene | Tissue | Tazemetostat | Inhibits apoptosis. | Poor prognostic and predictive biomarker to therapy | Lymphoma, Prostate, NSCLC and breast cancer | [ |
| CD20 | Loss of gene expression | Blood | Rituximab | Supports B-cell activation and cell cycle progression | Predictive of loss treatment to rituximab | Non-Hodgkin Lymphoma | [ |
| ALK | Gene rearrangements | Tissue | Crizotinib, Ceritinib and Alectinib | Creation of a novel fusion protein with transforming activity. | Negative prognostic biomarker and predictive of poor response to TKI | NSCLC | [ |
| ROS1 | Rearrangement | Tissue | Crizotinib | Genes fusions acting as oncogenic drivers | Predictive biomarker to therapy | NSCLC | [ |
| Chromosomal bands 11q, 13q, 17p) | Deletion of these Chromosomal bands | Blood | Fludarabine | Non-response to fludarabine | Prognostic and Predictive biomarker to therapy | Chronic lymphatic leukaemia | [ |
| AR | Gene mutation | Tissue | Abiraterone, Enzalutamide | Proliferation and progression, activation of PI3K/AKT pathway | Prognostic and Predictive biomarker to therapy | Metastatic castration-resistant prostate cancer | [ |
| Gene expression | Tissue, Liquid biopsies, circulating DNA | Galeterone | Constitutively activate. Activation of PI3K/AKT pathway, p53 loss, Proliferation and progression | Prognostic and Predictive biomarker to therapy | Metastatic castration-resistant prostate cancer | [ |
BRCA1: BRCA1 DNA repair associated; BRCA2: BRCA2 DNA repair associated; ER: oestrogen receptor; PR: Progesterone receptor; EGFR: Epidermal growth factor receptor; HER2-ErB-B2: erb-b2 Receptor tyrosine kinase 2; HRAS/KRAS: Harvey/Kristen rat sarcoma viral oncogene homolog; BRAF: v-raf murine; BCR-ABL: Breakpoint cluster region-Abelson murine leukaemia viral oncogene homolog fusion protein; BCL2: BCL2 apoptosis regulator; IDH1/2: Isocitrate dehydrogenase; EZH2: Histone-lysine N-methyltransferase; CD20: B-lymphocyte antigen CD20; ALK: EML4-anaplastic lymphoma kinase; ROS1: Proto-oncogene tyrosine-protein kinase ROS; AR: Androgen receptor; AR-V7: Androgen receptor, splice variant 7; MEK: mitogen-activated protein kinase kinase 1; ERK: Extracellular Signal-Regulated Kinase; TKI: tyrosine kinase inhibitor; AKT: AKT serine/threonine kinase 1
Epigenetic biomarkers with potential for precision oncology in clinic worldwide.
| Biomarker | Anomalies | Sample type | Therapy | Alteration | Type of Biomarker | Cancer type | Reference |
|---|---|---|---|---|---|---|---|
| BRCA1/2 | Repression transcriptional | Tissue | Poly-ADP ribose polymerase (PARP)-inhibitors | Hypermethylation | Diagnostic biomarker | Breast and ovarian cancer | [ |
| GSTP1 | Repression transcriptional | Blood and urine | - | Hypermethylation | Diagnostic biomarker of prostate cancer in combination with PSA | Prostate | [ |
| MGMT | Repression transcriptional | Tissue | Temozolomide and Carmustine | Hypermethylation | Prognostic biomarker of responsiveness to alkylating agents | Glioma | [ |
| EZH2 | Mutation and overexpression of EZH2. Repress tumour suppressor genes | Blood | Tazemetostat | Silence tumour suppressor genes by adding H3 K27 methylation | Prognostic biomarker to alkylating agents | Lymphomas | [ |
| DNMT | Repression of tumour suppressor genes by DNMT | Blood | Azacytidine | Hypermethylation of tumour suppressor genes | Prognostic biomarker of responsiveness to demethylating agents | Acute myeloid leukaemia | [ |
| HDAC | Transcriptional repression | - | Vorinostab, valproate | Delete normal acetylation of histones | Target biomarker of drugs | Leukaemia | [ |
| IGFBP3 | Transcriptional repression | Tissue | Cisplatin | Hypermethylated promoter | Prognostic biomarker of loss of sensitivity to cisplatin-based therapy | Lung cancer | [ |
| SOXH2 | Transcriptional repression | Bronchial aspirates | - | Hypermethylation | Diagnostic biomarker for lung cancer | Lung cancer | [ |
| Transcriptional repression | Blood | - | Hypermethylation | Diagnostic biomarker for colon cancer | Colon cancer | [ |
Data missing
BRCA1: BRCA1 DNA repair associated; BRCA2: BRCA2 DNA repair associated; GSTP1: Glutathione S-transferase π1; MGMT: O6-Methylguanine-DNA methyltransferase; EZH2: Histone-lysine N-methyltransferase; DNMT: DNA (cytosine-5)-methyltransferase 1; HDAC: Histone deacetylase; IGFBP3: Insulin-like growth factor-binding protein-3; SOXH2: Short stature homeobox gene 2; SEPTIN9: Septin 9
Figure 2.Number of publications development in Latin-America based on use of Biomarkers. These publications correspond to the number of studies published in journals indexed in the PubMed database, between the periods 2000 and 2019. As shown, Brazil does the highest numbers of studies in the field.