Miguel Torres-Martín
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
Research Subjects
Miguel Torres-Martín has a total of 314 co-authors. Here are the top co-authors by number of shared publications:
- Josep Maria Llovet
Liver Cancer Translational Research Group — IDIBAPS, Liver Unit — Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
49 shared publications - Carla Montironi
Department of Pathology, Hospital Clínic de Barcelona, 08036, Barcelona, Spain
47 shared publications - Daniela Sia
Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Liver Cancer Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA
47 shared publications - Laura Torrens
Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
45 shared publications - Philipp K. Haber
Mount Sinai Liver Cancer Program, Division of Liver Diseases, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
44 shared publications - Wei Qiang Leow
Department of Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore
38 shared publications
Latest Publications
- Open Access
- 4 November 2026
- Published by Elsevier in JHEP Reports
A novel preclinical platform to study FGFR2 fusion-driven cholangiocarcinoma☆
- 4 November 2026
- Published by Elsevier in JHEP Reports
Open AccessA novel preclinical platform to study FGFR2 fusion-driven cholangiocarcinoma☆
- Open Access
- 29 September 2026
- Published by American Society for Clinical Investigation in Journal of Clinical Investigation
DNA methylation status at diagnosis in MDS predicts response to azacitidine
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.
- 29 September 2026
- Published by American Society for Clinical Investigation in Journal of Clinical Investigation
Open AccessDNA methylation status at diagnosis in MDS predicts response to azacitidine
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
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 AccessMitochondria-nucleus communication dictates progressive versus bimodal aging of the mammary gland
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
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- Open Access
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- Open Access
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- Open Access
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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.
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessData from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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.
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessData from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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.
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessData from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
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
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data from Identification of IGF2 as Genomic Driver and Actionable Therapeutic Target in Hepatoblastoma
Supplementary Figures and Tables