Ana Pilar Gonzalez-Rodriguez
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
Ana Pilar Gonzalez-Rodriguez has a total of 429 co-authors. Here are the top co-authors by number of shared publications:
- Laura Rosiñol
19Amyloidosis and Multiple Myeloma Unit, Department of Hematology, Institut d’Investigacions Biomèdiques August Pi i Sunyer, Hospital Clinic, Barcelona, Spain
48 shared publications - Juan-Jose Lahuerta
Hospital Universitario 12 de Octubre, Madrid, Spain
47 shared publications - Maria-Teresa Cedena
Hospital Universitario 12 de Octubre, Madrid, Spain
47 shared publications - Rafael Ríos-Tamayo
Department of Hematology, University Hospital Virgen de las Nieves, 18014 Granada, Spain
47 shared publications - Felipe de Arriba
Hospital Morales Meseguer, IMIB-Pascual Parrilla, Universidad de Murcia, Murcia, Spain
46 shared publications - Maria-Jose Calasanz
CIMA LAB Diagnostics, CUN Pamplona Navarra Institute for Health Research (IdiSNA) Pamplona Spain
46 shared publications
Latest Publications
- 29 October 2026
- Published by Elsevier in Transplantation and Cellular Therapy
IDH2 p.R172 mutation Predicts Superior Outcomes in IDH-mutated Acute Myeloid Leukemia or Myelodysplastic Syndrome patients undergoing Allogeneic Hematopoietic Cell Transplantation: a retrospective study from the Grupo Español de Trasplante Hematopoyético y Terapia Celular (GETH-TC)
- 29 October 2026
- Published by Elsevier in Transplantation and Cellular Therapy
IDH2 p.R172 mutation Predicts Superior Outcomes in IDH-mutated Acute Myeloid Leukemia or Myelodysplastic Syndrome patients undergoing Allogeneic Hematopoietic Cell Transplantation: a retrospective study from the Grupo Español de Trasplante Hematopoyético y Terapia Celular (GETH-TC)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 4 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Detected variants passing all filters categorized as pathogenic or likely pathogenic somatic mutations.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 4 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Detected variants passing all filters categorized as pathogenic or likely pathogenic somatic mutations.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 5 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Quality control of the 555 NGS samples included in the study.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 5 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Quality control of the 555 NGS samples included in the study.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 8 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Hematologic toxicity during treatment observed in patients enrolled in the GEM2012MENOS65, GEM-CLARIDEX and GEM-CESAR clinical trials compared to mutant HPC detected at baseline. P-value is calculated using corrected χ2 test.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 8 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Hematologic toxicity during treatment observed in patients enrolled in the GEM2012MENOS65, GEM-CLARIDEX and GEM-CESAR clinical trials compared to mutant HPC detected at baseline. P-value is calculated using corrected χ2 test.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 7 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Clinical and tumor microenvironmental characteristics of untreated, newly diagnosed active MM patients having normal (n = 129) vs mutant HPC (n = 38). P-value is calculated using corrected χ2 for dichotomous variables, and Kruskal-Wallis for numerical variables.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 7 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Clinical and tumor microenvironmental characteristics of untreated, newly diagnosed active MM patients having normal (n = 129) vs mutant HPC (n = 38). P-value is calculated using corrected χ2 for dichotomous variables, and Kruskal-Wallis for numerical variables.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Figure 2 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Genetic relationship between mutant HPC and tumor cells. Concordance between the mutational landscape of hematopoietic progenitor cells (HPC) and patient-paired tumor cells (n = 42) used as filtering criteria for mutations observed in RAS genes. All mutated genes in HPC are shown, whereas in tumor cells only the genes that were mutated and were mapped in the myeloid gene panel are shown. Samples were collected at different moments of treatment: in untreated patients (i.e., at diagnosis), after induction, intensification, or end of treatment (EoT). Cytogenetic alterations were determined by FISH during diagnostic procedures. HPC and tumor cell illustrations were created with BioRender.com.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Figure 2 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Genetic relationship between mutant HPC and tumor cells. Concordance between the mutational landscape of hematopoietic progenitor cells (HPC) and patient-paired tumor cells (n = 42) used as filtering criteria for mutations observed in RAS genes. All mutated genes in HPC are shown, whereas in tumor cells only the genes that were mutated and were mapped in the myeloid gene panel are shown. Samples were collected at different moments of treatment: in untreated patients (i.e., at diagnosis), after induction, intensification, or end of treatment (EoT). Cytogenetic alterations were determined by FISH during diagnostic procedures. HPC and tumor cell illustrations were created with BioRender.com.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 6 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Mutational landscape of HPC according to a variant allele frequency (VAF) ≥2% among untreated patients with MM. Frequencies are calculated according to all patients with BM HPC at diagnosis (n = 232).
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 6 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Mutational landscape of HPC according to a variant allele frequency (VAF) ≥2% among untreated patients with MM. Frequencies are calculated according to all patients with BM HPC at diagnosis (n = 232).
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Figure 1 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Overview illustrating a graphical representation of gating strategy used to detect bone marrow CD34+ hematopoietic progenitor cells (HPC) and plasma cells (PCs) using fluorescence activated cell sorting (BD FACSDiva v 8.0.2). Panels show bivariate dot plots representations in which HPC were gated using conventional manual analysis strategy.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Figure 1 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Overview illustrating a graphical representation of gating strategy used to detect bone marrow CD34+ hematopoietic progenitor cells (HPC) and plasma cells (PCs) using fluorescence activated cell sorting (BD FACSDiva v 8.0.2). Panels show bivariate dot plots representations in which HPC were gated using conventional manual analysis strategy.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplemental Table 1 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Key disease characteristics between patients with available (n = 308) and unavailable (n = 583) samples included and not included in this study from the GEM2012MENOS65, GEM-CESAR, and GEM-CLARIDEX trials. P-value is calculated using corrected χ2 for dichotomous variables, and Kruskal-Wallis for numerical variables.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplemental Table 1 from Dynamics of Mutant Hematopoietic Progenitor Cells Are Not Associated with Clinical Outcomes in Multiple Myeloma
Key disease characteristics between patients with available (n = 308) and unavailable (n = 583) samples included and not included in this study from the GEM2012MENOS65, GEM-CESAR, and GEM-CLARIDEX trials. P-value is calculated using corrected χ2 for dichotomous variables, and Kruskal-Wallis for numerical variables.