MTMiguel Torres-Martín

Miguel Torres-Martín

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Miguel Torres-Martín has a total of 314 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    A novel preclinical platform to study FGFR2 fusion-driven cholangiocarcinoma☆

    by Alexandra Wolf, Matias Facciuto, Melissa Damiecki, Emily R. Bramel, Eric Park, Sara E. Young, Miguel Torres, Shalini Nath, Vincenzo Mazzaferro, Myron Schwartz, et al.

  • Open Access

    DNA methylation status at diagnosis in MDS predicts response to azacitidine

    by Qin Yang, Miguel Torres-Martin, Masataka Taguchi, Alice Brogi, Irene Casalin, Eleonora Ceneri, Stephanie Halene, Amy E. DeZern, Elizabeth A. Griffiths, Matilde Y. Follo, et al.

    Background. Myelodysplastic syndromes (MDS) are characterized by aberrant DNA methylation, and mutations in epigenetic modifiers are frequently found in these patients. Although DNA methyltransferase inhibitors (DNMTi) are used to treat MDS, response variability remains a challenge in the clinic, with limited predictive markers. Methods. We integrated genomic, epigenomic, and transcriptomic analyses of 98 MDS patients. Patients were classified into epigenetic subtypes via hierarchical clustering. Random forest classifiers were developed and validated using internal stratified testing and an independent external cohort to predict AZA response. Results. MDS is characterized by widespread DNA hypomethylation affecting distal regulatory elements. We identified seven epigenetic clusters correlated with distinct molecular drivers. Notably, Cluster VI exhibited low mutational burden but a high AZA response rate of 71% (P ≤ 0.01). While transcriptional profiles alone failed to distinguish responders, a DNAme-based classifier achieved an area under the curve (AUC) of 0.82. An integrative model combining DNAme, gene expression, mutations, and clinical parameters achieved an AUC of 0.93 in internal validation and 0.88 in the external cohort. Conclusion. Epigenetic signatures at distal genomic elements provide superior predictive power for AZA response compared to promoter-centric or transcriptional analyses. These findings establish a robust framework for personalized treatment strategies in MDS.

  • Open Access

    Mitochondria-nucleus communication dictates progressive versus bimodal aging of the mammary gland

    by Edmund Charles Jenkins, Mrittika Chattopadhyay, Thelma Mashaka, Dmitry Polushakov, Miguel Torres-Martin, Daniela Sia, Igor Bado, Doris Germain

    Non-linear aging, identified through oscillations in human plasma proteomics around 44 and 60, is postulated to contribute to the onset of diseases. Incidence of breast cancer follows such bimodal pattern. We show that mitochondria-nucleus matching in mice results in two mammary gland aging patterns, including a bimodal pattern associated with susceptibility to mammary tumor and that this bimodal signature is enriched in breast cancer patients diagnosed at 45 and 65.

  • Open Access

    Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Supplementary Figures and Tables

  • Open Access

    Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Supplementary Figures and Tables

  • Open Access

    Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Supplementary Figures and Tables

  • Open Access

    Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Management of hepatoblastoma (HB), the most frequent pediatric liver cancer, is based on surgical resection and perioperative chemotherapy regimens. In this study, we aimed to identify actionable targets in HB and assess the efficacy of molecular therapies in preclinical models of HB. Paired tumor and adjacent tissues from 31 HBs and a validation set of 50 HBs were analyzed using RNA-seq, SNP, and methylation arrays. IGF2 overexpression was identified as the top targetable HB driver, present in 71% of HBs (22/31). IGF2high tumors displayed progenitor cell features and shorter recurrence-free survival. IGF2 overexpression was associated in 91% of cases with fetal promoter hypomethylation, ICR1 deregulation, 11p15.5 loss of heterozygosity or miR483-5p overexpression. The antitumor effect of xentuzumab (a monoclonal antibody targeting IGF1/2) alone or in combination with the conventional therapeutic agent cisplatin was assessed in HB cell lines, in PDX-derived HB organoids and in a xenograft HB murine model. The combination of xentuzumab with cisplatin showed strong synergistic antitumor effects in organoids and in IGF2high cell lines. In mice (n = 55), the combination induced a significant decrease in tumor volume and improved survival compared with cisplatin alone. These results suggest that IGF2 is an HB actionable driver and that, in preclinical models of HB, the combination of IGF1/2 inhibition with cisplatin induces superior antitumor effects than cisplatin monotherapy. Overall, our study provides a rationale for testing IGF2 inhibitors in combination with cisplatin in HB patients with IGF2 overexpression.

  • Open Access

    Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Management of hepatoblastoma (HB), the most frequent pediatric liver cancer, is based on surgical resection and perioperative chemotherapy regimens. In this study, we aimed to identify actionable targets in HB and assess the efficacy of molecular therapies in preclinical models of HB. Paired tumor and adjacent tissues from 31 HBs and a validation set of 50 HBs were analyzed using RNA-seq, SNP, and methylation arrays. IGF2 overexpression was identified as the top targetable HB driver, present in 71% of HBs (22/31). IGF2high tumors displayed progenitor cell features and shorter recurrence-free survival. IGF2 overexpression was associated in 91% of cases with fetal promoter hypomethylation, ICR1 deregulation, 11p15.5 loss of heterozygosity or miR483-5p overexpression. The antitumor effect of xentuzumab (a monoclonal antibody targeting IGF1/2) alone or in combination with the conventional therapeutic agent cisplatin was assessed in HB cell lines, in PDX-derived HB organoids and in a xenograft HB murine model. The combination of xentuzumab with cisplatin showed strong synergistic antitumor effects in organoids and in IGF2high cell lines. In mice (n = 55), the combination induced a significant decrease in tumor volume and improved survival compared with cisplatin alone. These results suggest that IGF2 is an HB actionable driver and that, in preclinical models of HB, the combination of IGF1/2 inhibition with cisplatin induces superior antitumor effects than cisplatin monotherapy. Overall, our study provides a rationale for testing IGF2 inhibitors in combination with cisplatin in HB patients with IGF2 overexpression.

  • Open Access

    Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Management of hepatoblastoma (HB), the most frequent pediatric liver cancer, is based on surgical resection and perioperative chemotherapy regimens. In this study, we aimed to identify actionable targets in HB and assess the efficacy of molecular therapies in preclinical models of HB. Paired tumor and adjacent tissues from 31 HBs and a validation set of 50 HBs were analyzed using RNA-seq, SNP, and methylation arrays. IGF2 overexpression was identified as the top targetable HB driver, present in 71% of HBs (22/31). IGF2high tumors displayed progenitor cell features and shorter recurrence-free survival. IGF2 overexpression was associated in 91% of cases with fetal promoter hypomethylation, ICR1 deregulation, 11p15.5 loss of heterozygosity or miR483-5p overexpression. The antitumor effect of xentuzumab (a monoclonal antibody targeting IGF1/2) alone or in combination with the conventional therapeutic agent cisplatin was assessed in HB cell lines, in PDX-derived HB organoids and in a xenograft HB murine model. The combination of xentuzumab with cisplatin showed strong synergistic antitumor effects in organoids and in IGF2high cell lines. In mice (n = 55), the combination induced a significant decrease in tumor volume and improved survival compared with cisplatin alone. These results suggest that IGF2 is an HB actionable driver and that, in preclinical models of HB, the combination of IGF1/2 inhibition with cisplatin induces superior antitumor effects than cisplatin monotherapy. Overall, our study provides a rationale for testing IGF2 inhibitors in combination with cisplatin in HB patients with IGF2 overexpression.

  • Open Access

    Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma

    by Jordi Abril-Fornaguera, Laura Torrens, Carmen Andreu-Oller, Juan Carrillo-Reixach, Alex Rialdi, Ugne Balaseviciute, Roser Pinyol, Carla Montironi, Philipp K. Haber, Álvaro Del Río-Álvarez, et al.

    Supplementary Figures and Tables