Juan José Mata-Molanes

Dr. Juan José Mata-Molanes

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2017 in Targeted Oncology
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Journal Article
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JMJuan José Mata-Molanes
Juan José Mata-Molanes
MGManuel Sureda González
Manuel Sureda González
BJBelén Valenzuela Jiménez
Belén Valenzuela Jiménez
ENElena Mª Martínez Navarro
Elena Mª Martínez Navarro
AMAntonio Brugarolas Masllorens
Antonio Brugarolas Masllorens

1 March 2017 in Journal of Immunological Methods
Verified
Journal Article
Closed access
JDJosé Antonio Delgado
José Antonio Delgado
Francisco Guillen-GrimaFrancisco Guillen-Grima
Francisco Guillen-Grima
CMCristina Moreno
Cristina Moreno
CPCarlos Panizo
Carlos Panizo
CPCarmen Pérez-Robles
Carmen Pérez-Robles
JMJuana Merino
Juana Merino

24 June 2022 in Frontiers in Oncology
Verified
Journal Article
Open access
JMJuan José Mata-Molanes
Juan José Mata-Molanes
JRJoseba Rebollo-Liceaga
Joseba Rebollo-Liceaga
EMElena Mª Martínez-Navarro
Elena Mª Martínez-Navarro
RMRamón González Manzano
Ramón González Manzano
ABAntonio Brugarolas
Antonio Brugarolas
MSManuel Sureda
Manuel Sureda
Therapeutic monoclonal antibodies (mAbs), including immune checkpoint inhibitors (ICIs), are an important breakthrough for the treatment of cancer and have dramatically changed clinical outcomes in a wide variety of tumours. However, clinical response varies among patients receiving mAb-based treatment, so it is necessary to search for predictive biomarkers of response to identify the patients who will derive the greatest therapeutic benefit. The interaction of mAbs with Fc gamma receptors (FcγR) expressed by innate immune cells is essential for antibody-dependent cellular cytotoxicity (ADCC) and this binding is often critical for theirin vivoefficacy. FcγRIIa (H131R) and FcγRIIIa (V158F) polymorphisms have been reported to correlate with response to therapeutic mAbs. These polymorphisms play a major role in the affinity of mAb receptors and, therefore, can exert a profound impact on antitumor response in these therapies. Furthermore, recent reports have revealed potential mechanisms of ICIs to modulate myeloid subset composition within the tumour microenvironment through FcγR-binding, optimizing their anti-tumour activity. The purpose of this review is to highlight the clinical contribution of FcγR polymorphisms to predict response to mAbs in cancer patients.

1 May 2012 in Human Immunology
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Journal Article
Closed access
CMCristina Moreno
Cristina Moreno
LBLeire Burgos
Leire Burgos
CPCarmen Pérez-Robles
Carmen Pérez-Robles
JDJose A. Delgado
Jose A. Delgado
JMJuan José Mata-Molanes
Juan José Mata-Molanes
ASAlfonso Sánchez-Ibarrola
Alfonso Sánchez-Ibarrola

25 February 2025 in Pharmaceutics
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Journal Article
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JMJuan José Mata-Molanes
Juan José Mata-Molanes
LALeticia Alserawan
Leticia Alserawan
CECarolina España
Carolina España
CGCarla Guijarro
Carla Guijarro
ALAna López-Pecino
Ana López-Pecino
MCMaria Castella
Maria Castella
Background/Objectives: Potency testing of clinical-grade lentiviral vectors (LVVs) is critical to support a drug’s commercial approval. Careful consideration should be paid to the development of a suitable potency test during the drug’s clinical development. We aimed to develop an affordable, quantitative test for our CAR19-LVV, based on a measure of transgene’s functional activity. Methods: Several indicators of functional activity of CAR19-LVV were explored in a co-culture setting of CAR-transduced Jurkat cells and CD19-expressing target cells. The selected assay was further developed and subjected to validation. Assay’s adaptability to other CAR-encoding LVV and autologous CAR-T cell products was also investigated. Results: Measure of CD69 expression on the membrane of Jurkat-CAR-expressing cells is a specific indicator of CAR functionality. Quantification of CD69 in terms of mean fluorescence intensity (MFI), coupled with an intra-assay standard curve calibration, allows for a quantitative assay with high precision, specificity, robustness, linearity and accuracy. The assay has also shown optimal performance for a CARBCMA-LVV product. Importantly, we show that in primary T cells, CD69 expression reflects CAR-T cell cytotoxicity. After adaptation, we have applied a CD69-based potency test, with simultaneous measurement of CAR-T cell cytotoxicity, to autologous CAR-T cell products, demonstrating the assay’s specificity also in this context. Conclusions: We developed a validated, in vitro cell-based potency test, using a quantitative flow-cytometry method, for our CAR19-LVV. The assay is based on the detection of T-cell activation upon CAR binding to antigen, which is a measure of transgene functionality. The assay was easily adapted to another CAR-encoding LVV, targeting a different molecule. Furthermore, the same assay principle can be applied in the context of autologous CAR-T cell products. The quantitative CD69 potency assay shows reduced variability among autologous products compared to the IFNγ assay and allows for simultaneous evaluation of traditional semi-quantitative cytotoxicity, thereby directly evaluating the drug’s mechanism of action (MoA) in the same assay.

1 January 2014 in Annals of Transplantation
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Journal Article
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ASAlfonso Sánchez-Ibarrola
Alfonso Sánchez-Ibarrola
JMJuan José Mata-Molanes
Juan José Mata-Molanes
LRLeire Burgos Rodríguez
Leire Burgos Rodríguez
JGJosé Antonio Delgado García
José Antonio Delgado García
CPCarmen Pérez-Robles
Carmen Pérez-Robles
CPCristina Moreno Parado
Cristina Moreno Parado
Rejection of transplanted organs is caused by alloimmune responses, primarily against HLA molecules. Anti-donor HLA antibodies are associated with antibody-mediated rejection (AMR) and poor graft outcome. Because of clinical interest in detecting these antibodies, new technologies have recently been introduced to increase the sensitivity of detection. The Luminex Single-Antigen (LSA) bead assay may yield new information, but it must be validated against biological and clinical data.