Javier Gavira
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Javier Gavira has a total of 76 co-authors. Here are the top co-authors by number of shared publications:
- Jose Carlos Tapia
Medical Oncology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
5 shared publications - Pablo Maroto
Department of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain
2 shared publications Adela Maria del Carmen Randis
Department of Medical Oncology, Hospital Universitario 12 de Octubre, Madrid, Spain
1 shared publication- Agustí Barnadas
Department of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain
1 shared publication - Aida Piedra Cascón
Medical Oncology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
1 shared publication Alba Cochs
Department of Medical Oncology Hospital Universitari Sant Joan de Reus Reus Spain
1 shared publication
Latest Publications
- 28 March 2025
- Published by Elsevier in European Journal of Cancer
- Vol. 220, 115389
Activity of lenvatinib-based therapy in previously treated patients with metastatic renal cell carcinoma: A European multicenter study (LENVA-LAT)
- 28 March 2025
- Published by Elsevier in European Journal of Cancer
- Vol. 220, 115389
Activity of lenvatinib-based therapy in previously treated patients with metastatic renal cell carcinoma: A European multicenter study (LENVA-LAT)
- Open Access
The FLARE Score and Circulating Neutrophils in Patients with Cancer and COVID-19 Disease
Purpose: Inflammation and neutrophils play a central role in both COVID-19 disease and cancer. We aimed to assess the impact of pre-existing tumor-related inflammation on COVID-19 outcomes in patients with cancer and to elucidate the role of circulating neutrophil subpopulations. Methods: We conducted a multicenter retrospective analysis of 524 patients with cancer and SARS-CoV-2 infection, assessing the relationship between clinical outcomes and circulating inflammatory biomarkers collected before and during COVID-19 infection. Additionally, a single-center prospective cohort study provided data for an exploratory analysis, assessing the immunophenotype of circulating neutrophils and inflammatory cytokines. The primary endpoints were 30-day mortality and the severity of COVID-19 disease. Results: Prior to COVID-19, 25% of patients with cancer exhibited elevated dNLR, which increased to 55% at the time of COVID-19 diagnosis. We developed the FLARE score, incorporating both tumor- and infection-induced inflammation, which categorized patients into four prognostic groups. The poor prognostic group had a 30-day mortality rate of 68%, significantly higher than the 23% in the favorable group (p < 0.0001). This score proved to be an independent predictor of early mortality. This prospective analysis revealed a shift towards immature forms of neutrophils and higher IL-6 levels in patients with cancer and severe COVID-19 infection. Conclusions: A pre-existing tumor-induced pro-inflammatory state significantly impacts COVID-19 outcomes in patients with cancer. The FLARE score, derived from circulating inflammatory markers, emerges as an easy-to-use, globally accessible, effective tool for clinicians to identify patients with cancer at heightened risk of severe COVID-19 complications and early mortality who might benefit most from immediate and intensive treatment strategies. Furthermore, our findings underscore the significance of immature neutrophils in the progression of COVID-19 in patients with cancer, advocating for further investigation into how these cells contribute to both cancer and COVID-19 disease.
Open AccessThe FLARE Score and Circulating Neutrophils in Patients with Cancer and COVID-19 Disease
Purpose: Inflammation and neutrophils play a central role in both COVID-19 disease and cancer. We aimed to assess the impact of pre-existing tumor-related inflammation on COVID-19 outcomes in patients with cancer and to elucidate the role of circulating neutrophil subpopulations. Methods: We conducted a multicenter retrospective analysis of 524 patients with cancer and SARS-CoV-2 infection, assessing the relationship between clinical outcomes and circulating inflammatory biomarkers collected before and during COVID-19 infection. Additionally, a single-center prospective cohort study provided data for an exploratory analysis, assessing the immunophenotype of circulating neutrophils and inflammatory cytokines. The primary endpoints were 30-day mortality and the severity of COVID-19 disease. Results: Prior to COVID-19, 25% of patients with cancer exhibited elevated dNLR, which increased to 55% at the time of COVID-19 diagnosis. We developed the FLARE score, incorporating both tumor- and infection-induced inflammation, which categorized patients into four prognostic groups. The poor prognostic group had a 30-day mortality rate of 68%, significantly higher than the 23% in the favorable group (p < 0.0001). This score proved to be an independent predictor of early mortality. This prospective analysis revealed a shift towards immature forms of neutrophils and higher IL-6 levels in patients with cancer and severe COVID-19 infection. Conclusions: A pre-existing tumor-induced pro-inflammatory state significantly impacts COVID-19 outcomes in patients with cancer. The FLARE score, derived from circulating inflammatory markers, emerges as an easy-to-use, globally accessible, effective tool for clinicians to identify patients with cancer at heightened risk of severe COVID-19 complications and early mortality who might benefit most from immediate and intensive treatment strategies. Furthermore, our findings underscore the significance of immature neutrophils in the progression of COVID-19 in patients with cancer, advocating for further investigation into how these cells contribute to both cancer and COVID-19 disease.
- 9 May 2024
- Published by Springer Nature in Clinical and Translational Oncology
- Vol. 26 (10) , 2749-2753
Challenges of diagnosing homologous recombination deficiencies in metastatic prostate cancer: a six-year experience from a single institution
Purpose We evaluated the prevalence of homologous recombination deficiencies (HRD) to determine the efficacy of different techniques and clinical characteristics of patients. Methods This retrospective study included patients with metastatic prostate cancer who underwent molecular testing at our hospital between 2016 and 2022. We used tumor tissue, ctDNA, and lymphocytes for somatic or germline testing. We analyzed the clinical characteristics and survival outcomes. Results 144 patients were tested (113 somatic, 21 germline, and 10 both). Technical issues prevented the analysis of 23 prostatic samples (18.7%). 12 (8.3%) patients had HRD. BRCA2 was the most frequent mutation (66.7%). Patients with HRD were younger (57.5 years). Patients with BRCA mutations had poorer survival (31.9 vs 56.3 months, p = 0.048). Conclusion In our institution, 8.3% of the patients had HRD. Tumor tissue analysis failed in 18.7% of tests. ctDNA analysis is an alternative detection method. BRCA mutations are correlated with poor prognosis.
- 9 May 2024
- Published by Springer Nature in Clinical and Translational Oncology
- Vol. 26 (10) , 2749-2753
Challenges of diagnosing homologous recombination deficiencies in metastatic prostate cancer: a six-year experience from a single institution
Purpose We evaluated the prevalence of homologous recombination deficiencies (HRD) to determine the efficacy of different techniques and clinical characteristics of patients. Methods This retrospective study included patients with metastatic prostate cancer who underwent molecular testing at our hospital between 2016 and 2022. We used tumor tissue, ctDNA, and lymphocytes for somatic or germline testing. We analyzed the clinical characteristics and survival outcomes. Results 144 patients were tested (113 somatic, 21 germline, and 10 both). Technical issues prevented the analysis of 23 prostatic samples (18.7%). 12 (8.3%) patients had HRD. BRCA2 was the most frequent mutation (66.7%). Patients with HRD were younger (57.5 years). Patients with BRCA mutations had poorer survival (31.9 vs 56.3 months, p = 0.048). Conclusion In our institution, 8.3% of the patients had HRD. Tumor tissue analysis failed in 18.7% of tests. ctDNA analysis is an alternative detection method. BRCA mutations are correlated with poor prognosis.
- 15 April 2022
- Published by Wiley in International Journal of Cancer
- Vol. 150 (8) , 1310-1317
Ninety-day mortality and clinical outcomes of patients with solid tumours and COVID-19 infection during the first pandemic outbreak in Catalonia, Spain: A multicentre retrospective study
To describe the clinical outcomes and risk factors for 90-day mortality in patients with solid tumours (ST) and coronavirus disease 2019 (COVID-19) during the first outbreak in Catalonia. This is a multicentre retrospective study including adults with ST and COVID-19 confirmed by real time reverse transcription polymerase chain reaction between 13 March and 30 April 2020. Clinical and survival data were collected. Follow-up ended on 30 July 2020. Multivariate and survival analysis were performed. A hundred and fifteen patients were included. In all, 42.6% had advanced disease and were receiving anticancer treatment; 7% were admitted to the ICU and 22.6% died during hospitalisation. Thirty-day mortality was 27.8%, which increased to 33.9% at 90 days. Ninety-day mortality was associated with current smoker status (hazard ratio [HR]: 2.91, 95% CI [confidence interval]: 1.03-8.33, P = .044), baseline ECOG-PS 2 to 3 (HR: 3.88, 95% CI: 1.77-8.46, P < .001]), dyspnoea (HR: 3.02, 95% CI: 1.31-6.96, P = .009), a respiratory rate >= 24 (HR: 2.24, 95% CI: 1.02-4.92, P = .046) and sepsis (HR: 3.97, 95% CI: 1.78-8.88, P < .001). Of the 76 survivors, 73.6% had a follow-up visit. Of those, 33.9% had their cancer controlled and 23.2% had progressed. Thirty-five survivors were receiving anticancer treatment before COVID-19 diagnosis though 14 had to discontinue the treatment. Eight survivors without previous anticancer therapy started therapy. The median time to start anticancer therapy after COVID-19 was 45 days (interquartile range: 28-61). In conclusion, 90-day mortality in patients with ST and COVID-19 was 33.9%; current smoker status, poor ECOG-PS, dyspnoea, respiratory rate >= 24 and sepsis were independent risk factors for mortality; and survivors did not restart their anticancer treatment until 1.5 months after COVID-19 diagnosis.
- 15 April 2022
- Published by Wiley in International Journal of Cancer
- Vol. 150 (8) , 1310-1317
Ninety-day mortality and clinical outcomes of patients with solid tumours and COVID-19 infection during the first pandemic outbreak in Catalonia, Spain: A multicentre retrospective study
To describe the clinical outcomes and risk factors for 90-day mortality in patients with solid tumours (ST) and coronavirus disease 2019 (COVID-19) during the first outbreak in Catalonia. This is a multicentre retrospective study including adults with ST and COVID-19 confirmed by real time reverse transcription polymerase chain reaction between 13 March and 30 April 2020. Clinical and survival data were collected. Follow-up ended on 30 July 2020. Multivariate and survival analysis were performed. A hundred and fifteen patients were included. In all, 42.6% had advanced disease and were receiving anticancer treatment; 7% were admitted to the ICU and 22.6% died during hospitalisation. Thirty-day mortality was 27.8%, which increased to 33.9% at 90 days. Ninety-day mortality was associated with current smoker status (hazard ratio [HR]: 2.91, 95% CI [confidence interval]: 1.03-8.33, P = .044), baseline ECOG-PS 2 to 3 (HR: 3.88, 95% CI: 1.77-8.46, P < .001]), dyspnoea (HR: 3.02, 95% CI: 1.31-6.96, P = .009), a respiratory rate >= 24 (HR: 2.24, 95% CI: 1.02-4.92, P = .046) and sepsis (HR: 3.97, 95% CI: 1.78-8.88, P < .001). Of the 76 survivors, 73.6% had a follow-up visit. Of those, 33.9% had their cancer controlled and 23.2% had progressed. Thirty-five survivors were receiving anticancer treatment before COVID-19 diagnosis though 14 had to discontinue the treatment. Eight survivors without previous anticancer therapy started therapy. The median time to start anticancer therapy after COVID-19 was 45 days (interquartile range: 28-61). In conclusion, 90-day mortality in patients with ST and COVID-19 was 33.9%; current smoker status, poor ECOG-PS, dyspnoea, respiratory rate >= 24 and sepsis were independent risk factors for mortality; and survivors did not restart their anticancer treatment until 1.5 months after COVID-19 diagnosis.