General information

Our group emerged thanks to our starts in 2008 where we established a strong connection between clinical gaps (urological tumor) and molecular biomarkers. We realized that current clinical strategies in tumors such as prostate or kidney diseases lack robust molecular panels. In addition, we understood the great tumor heterogeneity that exists in these patients and where omics strategies could provide a direct clinical response. Over the years, our discoveries have led us to realize the role of each molecular markers in cancer development and decode the intricate networks that reshape the genetic structure of cancer in different tissues and cells. We have also explored how environmental factors contribute to tumor formation, considering the exposome and its impact on epigenetic regulators within this complex metabolic network. We focus our strategies on the search for non-invasive markers that could improve patient stratification using different omics integration methodologies.

We are a multidisciplinary group compound by clinical doctors, clinical pharmacist, biologists and informatician. Most of the group is affiliated to the Department of Biochemistry and Molecular Biology III and Inmunology of the University of Granada, Urology and Hospital Pharmacy Service from “Universitary Virgen de las Nieves Hospital”. Thanks to the multidisciplinary activity, currently we account for approximately 1,000 prostate cancer samples (tissue biopsies (fresh and FFPE), blood and/ or urine). In addition to the biological samples mentioned above, we also have a longitudinal record of personal, clinical and environmental data.

Moreover, we are part of the international prostate cancer consortium (PRACTICAL), which makes it easy to achieve samples and connections with all international groups focused on prostate cancer study. Nowadays, we have a strong collaboration with UK University of St. George´s as active collaborators of Prostate Cancer Research team based at St. George’s, University of London in charge of Clara Cieza and Ferran Valderrama (University of St. George´s, London, UK), where we are currently developing experiments in spheroids and organoids in prostate cancer (derived from prostate patients of our collection).

What is the molecular basis of epigenetic memory?

  • Integration of omics data for the search for molecular biomarkers associated with urological cancers:

The study of urological tumors includes those as prostate or bladder cancer; but also, other less frequent but more aggressive such as kidney cancer. We combine the main omic techniques for searching biomarkers in solid tumors (in paraffined tissue and by Single Cell analysis in fresh biopsies) and liquid biopsy. Using next-generation sequencing (NGS), we can reach a whole vision of the genetic panorama of each patient, unmasking biomarkers that enable the stratification of patients early and precisely based on their future aggressiveness, prognosis or response to treatment. Thus, using non-invasive techniques the detection of these biomarkers will mean a change in the treatment approach towards personalized and precision medicine.

  • Role of genetic variants in xenobiotic metabolic enzymes in cancer. Gene-environment interaction through exposome analysis:

The combination of environmental exposures (exposome) provides a new approach to the etiology of cancer. Health effects of these exposures events depend on genetic factors such as genes encoding xenobiotic-metabolizing enzymes (XME) and antioxidant defense enzymes. However, the metabolic pathways in which these enzymes are involved are not well studied in cancer and it has not been established a clear relationship between the different isoforms with cancer aggressiveness. Currently, the group is focused on the evaluation of different genetic factors in urological tumors and their association with the exposome by integrating questionnaires and biomonitoring. This combination can contribute to the detection of biomarkers of exposition useful for personalized prevention and treatment based on the environment of each patient.

  • Identification of genetic markers associated to drugs used in cancer and functional validation

About -15-20% of all hormonal treated patients stop responding to treatment and in around 3 years they progress to treatment resistant (CPRC). Therefore, our group aims to identify genetic markers that will explain such unresponse effects to drugs (Goserelina, ⁠Leuprorelina,Triptorelina, ⁠Histrelina, Abiraterona, ⁠Enzalutamida, Apalutamida and Darolutamida). Moreover, we will develop in vitro functional validation of them to try to include these variants as biomarkers in the clinical daily practice.

Related Biography of the group research line:

  • Multi-omic study to unmask genes involved in prostate cancer development in a multi-case family. Chica-Redecillas L, Cuenca-Lopez S, Andres-Leon E, Terron-Camero LC, Cano-Gutierrez B, Cozar JM, Lorente JA, Vazquez-Alonso F, Martinez-Gonzalez LJ, Alvarez-Cubero MJ. Cancer Commun (Lond). 2024 Mar;44(3):443-447. doi: 10.1002/cac2.12501.
  • Genetic variants of antioxidant and xenobiotic metabolizing enzymes and their association with prostate cancer: A meta-analysis and functional in silico analysis. Álvarez-González B, Porras-Quesada P, Arenas-Rodríguez V, Tamayo-Gómez A, Vázquez-Alonso F, Martínez-González LJ, Hernández AF, Álvarez-Cubero MJ. Sci Total Environ. 2023 Nov 10;898:165530. doi: 10.1016/j.scitotenv.2023.165530.
  • Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Ramírez-Mena A, Andrés-León E, Alvarez-Cubero MJ, Anguita-Ruiz A, Martinez-Gonzalez LJ, Alcala-Fdez J.Comput Methods Programs Biomed. 2023 Oct;240:107719. doi: 10.1016/j.cmpb.2023.107719.
  • Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels of S100A4 as a Detector in Plasma. Alvarez-Cubero MJ, Arance E, de Santiago E, Sanchez P, Sepúlveda MR, Marrero R, Lorente JA, Gonzalez-Cabezuelo JM, Cuenca-Lopez S, Cozar JM, Vazquez-Alonso F, Martinez-Gonzalez LJ. Int J Mol Sci. 2022 Dec 29;24(1):547. doi: 10.3390/ijms24010547.
  • Genetic variants of antioxidant enzymes and environmental exposures as molecular biomarkers associated with the risk and aggressiveness of bladder cancer. Martin-Way D, Puche-Sanz I, Cozar JM, Zafra-Gomez A, Gomez-Regalado MDC, Morales-Alvarez CM, Hernandez AF, Martinez-Gonzalez LJ, Alvarez-Cubero MJ. Sci Total Environ. 2022 Oct 15;843:156965. doi: 10.1016/j.scitotenv.2022.156965.
  • A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study. Swen JJ, van der Wouden CH, Manson LE, Abdullah-Koolmees H, Blagec K, Blagus T, Böhringer S, Cambon-Thomsen A, Cecchin E, Cheung KC, Deneer VH, Dupui M, Ingelman-Sundberg M, Jonsson S, Joefield-Roka C, Just KS, Karlsson MO, Konta L, Koopmann R, Kriek M, Lehr T, Mitropoulou C, Rial-Sebbag E, Rollinson V, Roncato R, Samwald M, Schaeffeler E, Skokou M, Schwab M, Steinberger D, Stingl JC, Tremmel R, Turner RM, van Rhenen MH, Dávila Fajardo CL, Dolžan V, Patrinos GP, Pirmohamed M, Sunder-Plassmann G, Toffoli G, Guchelaar HJ; Ubiquitous Pharmacogenomics Consortium. Lancet. 2023 Feb 4;401(10374):347-356. doi: 10.1016/S0140-6736(22)01841-4.
  • Alignment with current and future research activity at GENyO

    The activity of the group is in line with the scientific activity of GENyO research center, promoting a multidisciplinary vision of biomedical problems such as cancer. The approach of our research makes possible the integration of several strategies, opening the doors to synergy between groups from functional Genomics and Personalized Medicine.
    Thanks to our active collaboration with Bionformaticians from the UGR and CSIC (Lopez Neyra), Epidemiologic and Public Health IBS- Group (IS-E15) and clinicians, our research line is producing some of the data by multidisciplinary PhDs.

    Scientific and social impact

    It is known that the high social impact of some urological diseases, mainly prostate cancer. Having a better knowledge and classification would help to improve quality of life of these patients. Currently, even being one of the most frequent malignancies among men, there is still unknown molecular markers in its management. For this reason, our group basic idea is that massive phenotyping will help to classify the data obtained by massive genotyping. My team is focused on finding molecular marks that allow us to individualize the tumor at each of its stages, and to be able to optimize each signal to be detected in biological fluids to be applied in daily clinical practice.

    Miembros
    Investigadora Principal

    María Jesús Álvarez

    Investigadores Predoctorales

    Ana Pozo

    Verónica Arenas

    Carmen Morales

    Fernando Marín

    Investigadores Senior

    Luis Javier Martínez

    Cristina Lucía Dávila

    Investigadores Postdoctorales

    Sonia García

    Proyectos
    Mejora en la selección de tratamiento de pacientes de cáncer de próstata mediante la incorporación de biomarcadores a una herramienta explicable generada con Machine Learning (C-EXP-213-UGR23).
    PCA-MARK - Herramienta de ayuda a la decisión en la selección de tratamiento de pacientes de cáncer de próstata /PMPTA23/00025
    Estrategias para optimizar el tratamiento en pacientes con cáncer de próstata.
    Aplicación de datos moleculares para la identificación de biomarcadores asociados a la resistencia a la castración y otros tratamientos en adyuvancia en el tratamiento de cáncer de próstata (PIP-0043-2022).
    Publicaciones