David Silva Moura
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
David Silva Moura has a total of 418 co-authors. Here are the top co-authors by number of shared publications:
- Javier Martin-Broto
Medical Oncology Department, Fundación Jiménez Díaz University Hospital, Madrid, Spain
91 shared publications - Nadia Hindi
Medical Oncology Department, Fundación Jiménez Díaz University Hospital, Madrid, Spain
59 shared publications - Jose L. Mondaza-Hernandez
Group of Advanced Therapies and Biomarkers in Sarcoma, Research Health Institute of Fundación Jiménez Díaz (IIS-FJD)
28 shared publications - Antonio Gutierrez
Hematology Department Hospital Universitario Son Espases, IdISBa Palma De Mallorca Spain
25 shared publications - Javier Martinez-Trufero
Medical Oncology Department, University Hospital Miguel Servet, 50009 Zaragoza, Spain
24 shared publications - Robin Lewis Jones
Sarcoma Unit, Royal Marsden NHS Foundation Trust, London, UK
24 shared publications
Latest Publications
- Open Access
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Figure S1. Kaplan–Meier survival analyses. A) progression-free survival (PFS) and B) overall survival (OS).
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Figure S1. Kaplan–Meier survival analyses. A) progression-free survival (PFS) and B) overall survival (OS).
- Open Access
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S2. Analysis of prognostic factors related with better clinical response.
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S2. Analysis of prognostic factors related with better clinical response.
- Open Access
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Figure S2. Variation of HMGB1 protein levels between samples collected after treatment (week 6) and before treatment (baseline).
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Figure S2. Variation of HMGB1 protein levels between samples collected after treatment (week 6) and before treatment (baseline).
- Open Access
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S3. Univariate Analysis of Different Potential Prognostic Factors on PFS and OS.
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S3. Univariate Analysis of Different Potential Prognostic Factors on PFS and OS.
- Open Access
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S1. Representativeness of Study Participants
- 1 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Safety and Efficacy of Epirubicin, Ifosfamide, and Nivolumab as First-Line Treatment for Patients with Undifferentiated Pleomorphic Sarcoma
Supplementary Table S1. Representativeness of Study Participants
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Figure S1. Correlation between the 7-gene-based signature score and best response. The test of Mann-Whitney was used for the correlation analyses.
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Figure S1. Correlation between the 7-gene-based signature score and best response. The test of Mann-Whitney was used for the correlation analyses.
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S3. Patient demographics of patients enrolled in the GEIS-32 clinical trial.
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S3. Patient demographics of patients enrolled in the GEIS-32 clinical trial.
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S1 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S1. MAXSTAT cut-off values for each gene of SIGNIOS signature.
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S1 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S1. MAXSTAT cut-off values for each gene of SIGNIOS signature.
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Data from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Purpose:Immune checkpoint inhibitors (ICI) have transformed cancer therapy, but their efficacy in sarcomas remains limited. A seven-gene predictive signature (CD86, CHI3L1, CXCL10, CXCL9, LAG3, NR4A1, and VCAM1) was previously identified as a biomarker for response to combined antiangiogenic and PD-1 inhibitor therapy in soft-tissue sarcomas. This study aimed to externally validate the predictive utility of this signature [SIGNature for immuno-oncology PD-1 inhibitors in sarcoma (SIGNIOS)] in an independent cohort of patients with sarcoma treated with ICIs.Experimental Design:Using RNA sequencing data from pretreatment tumor samples from the SARC028 phase II trial (pembrolizumab for advanced sarcomas) and the GEIS-32 phase II trial (pazopanib in advanced solitary fibrous tumor), we calculated the SIGNIOS score. Patients were stratified into low (score 0–4) and high (score 5–7) risk groups.Results:The SARC028 validation cohort comprised 31 patients, with a median age of 33 years, and 45.2% were female. The most common histologic subtypes included osteosarcoma (25.8%) and Ewing sarcoma (19.4%). The seven-gene signature significantly stratified patients into groups with significantly different progression-free survival (PFS): Those with scores of 0 to 4 had a median PFS of 49 days, whereas those with scores of 5 to 7 had a median PFS of 170 days [HR = 0.71 (95% confidence interval, 0.55–0.91), P = 0.007].Conclusions:This external validation confirms the seven-gene signature as a potential biomarker for predicting ICI efficacy in advanced sarcomas. Prospective studies are needed to determine the prognostic versus predictive value of SIGNIOS, refine its use across sarcoma subtypes, and explore its applicability in other tumor types.
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessData from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Purpose:Immune checkpoint inhibitors (ICI) have transformed cancer therapy, but their efficacy in sarcomas remains limited. A seven-gene predictive signature (CD86, CHI3L1, CXCL10, CXCL9, LAG3, NR4A1, and VCAM1) was previously identified as a biomarker for response to combined antiangiogenic and PD-1 inhibitor therapy in soft-tissue sarcomas. This study aimed to externally validate the predictive utility of this signature [SIGNature for immuno-oncology PD-1 inhibitors in sarcoma (SIGNIOS)] in an independent cohort of patients with sarcoma treated with ICIs.Experimental Design:Using RNA sequencing data from pretreatment tumor samples from the SARC028 phase II trial (pembrolizumab for advanced sarcomas) and the GEIS-32 phase II trial (pazopanib in advanced solitary fibrous tumor), we calculated the SIGNIOS score. Patients were stratified into low (score 0–4) and high (score 5–7) risk groups.Results:The SARC028 validation cohort comprised 31 patients, with a median age of 33 years, and 45.2% were female. The most common histologic subtypes included osteosarcoma (25.8%) and Ewing sarcoma (19.4%). The seven-gene signature significantly stratified patients into groups with significantly different progression-free survival (PFS): Those with scores of 0 to 4 had a median PFS of 49 days, whereas those with scores of 5 to 7 had a median PFS of 170 days [HR = 0.71 (95% confidence interval, 0.55–0.91), P = 0.007].Conclusions:This external validation confirms the seven-gene signature as a potential biomarker for predicting ICI efficacy in advanced sarcomas. Prospective studies are needed to determine the prognostic versus predictive value of SIGNIOS, refine its use across sarcoma subtypes, and explore its applicability in other tumor types.
- Open Access
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S2 – Univariate survival analysis of the genes included in the 7-gene-based signature score.
- 1 April 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Validation of a Seven-Gene Predictive SIGNature for the Efficacy of Immuno-Oncology PD-1 Inhibitors in Patients with Sarcoma
Supplementary Table S2 – Univariate survival analysis of the genes included in the 7-gene-based signature score.