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1.
J Natl Compr Canc Netw ; 20(10): 1134-1138, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-36240845

RESUMEN

BACKGROUND: Whether COVID-19 vaccination and the associated immune response increases susceptibility to immune-related adverse events (irAEs) among patients treated with immune checkpoint inhibition (ICI) remains unknown. Short-term follow-up can assess the safety of concurrent administration of the vaccine and ICI treatment. METHODS: We conducted an electronic health record analysis of a cohort of 408 patients with cancer receiving ICI therapy and who were vaccinated for COVID-19 between January 16 and March 27, 2021. Patients were seen in follow-up for 90 days from the day of the first dose in this single-institution tertiary care center. We evaluated the incidence of irAEs and the frequency of each event type and grade among patients who experienced an irAE. We also evaluated the incidence of irAEs in patients who began a new immunotherapy agent after vaccination. RESULTS: Among 408 patients with cancer receiving ICI therapy (median age, 71 years; 217 [53%] male), administration of a COVID-19 mRNA vaccine within 90 days of ICI treatment was not associated with an increased incidence of irAEs. A total of 27 (7%) patients experienced a new irAE within the observation period. Among patients with previous irAEs from ICIs (n=54), 3 (6%) experienced a recurrent irAE, and of those initiating a new immunotherapy (n=52), 9 (17%) experienced an irAE. No excess risk of COVID-19 diagnosis was seen in this subset of patients receiving ICI therapy, and no breakthrough COVID-19 cases were seen after full COVID-19 vaccination. CONCLUSIONS: These findings should reassure providers that COVID-19 vaccination during ICI therapy is safe and efficacious.


Asunto(s)
COVID-19 , Neoplasias , Anciano , COVID-19/epidemiología , COVID-19/prevención & control , Prueba de COVID-19 , Vacunas contra la COVID-19/efectos adversos , Femenino , Humanos , Inhibidores de Puntos de Control Inmunológico/efectos adversos , Masculino , Neoplasias/complicaciones , Neoplasias/tratamiento farmacológico , Estudios Retrospectivos , Vacunas Sintéticas , Vacunas de ARNm
2.
Nat Med ; 30(6): 1655-1666, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38877116

RESUMEN

In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate assessment of minimal residual disease (MRD) and therapeutic response monitoring. To overcome the sparsity of ctDNA fragments in low tumor fraction (TF) settings and increase MRD sensitivity, we previously leveraged genome-wide mutational integration through plasma whole-genome sequencing (WGS). Here we now introduce MRD-EDGE, a machine-learning-guided WGS ctDNA single-nucleotide variant (SNV) and copy-number variant (CNV) detection platform designed to increase signal enrichment. MRD-EDGESNV uses deep learning and a ctDNA-specific feature space to increase SNV signal-to-noise enrichment in WGS by ~300× compared to previous WGS error suppression. MRD-EDGECNV also reduces the degree of aneuploidy needed for ultrasensitive CNV detection through WGS from 1 Gb to 200 Mb, vastly expanding its applicability within solid tumors. We harness the improved performance to identify MRD following surgery in multiple cancer types, track changes in TF in response to neoadjuvant immunotherapy in lung cancer and demonstrate ctDNA shedding in precancerous colorectal adenomas. Finally, the radical signal-to-noise enrichment in MRD-EDGESNV enables plasma-only (non-tumor-informed) disease monitoring in advanced melanoma and lung cancer, yielding clinically informative TF monitoring for patients on immune-checkpoint inhibition.


Asunto(s)
ADN Tumoral Circulante , Variaciones en el Número de Copia de ADN , Aprendizaje Automático , Neoplasia Residual , Carga Tumoral , Humanos , ADN Tumoral Circulante/genética , ADN Tumoral Circulante/sangre , Neoplasia Residual/genética , Secuenciación Completa del Genoma , Neoplasias/genética , Neoplasias/sangre , Neoplasias/terapia , Neoplasias/patología , Polimorfismo de Nucleótido Simple , Biomarcadores de Tumor/genética , Biomarcadores de Tumor/sangre , Neoplasias Colorrectales/genética , Neoplasias Colorrectales/sangre , Neoplasias Colorrectales/patología , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/sangre , Neoplasias Pulmonares/patología
3.
Nat Med ; 27(7): 1280-1289, 2021 07.
Artículo en Inglés | MEDLINE | ID: mdl-34017137

RESUMEN

Patients with cancer have high mortality from coronavirus disease 2019 (COVID-19), and the immune parameters that dictate clinical outcomes remain unknown. In a cohort of 100 patients with cancer who were hospitalized for COVID-19, patients with hematologic cancer had higher mortality relative to patients with solid cancer. In two additional cohorts, flow cytometric and serologic analyses demonstrated that patients with solid cancer and patients without cancer had a similar immune phenotype during acute COVID-19, whereas patients with hematologic cancer had impairment of B cells and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibody responses. Despite the impaired humoral immunity and high mortality in patients with hematologic cancer who also have COVID-19, those with a greater number of CD8 T cells had improved survival, including those treated with anti-CD20 therapy. Furthermore, 77% of patients with hematologic cancer had detectable SARS-CoV-2-specific T cell responses. Thus, CD8 T cells might influence recovery from COVID-19 when humoral immunity is deficient. These observations suggest that CD8 T cell responses to vaccination might provide protection in patients with hematologic cancer even in the setting of limited humoral responses.


Asunto(s)
Linfocitos T CD8-positivos/inmunología , COVID-19/inmunología , Neoplasias Hematológicas/inmunología , Neoplasias/inmunología , Anciano , Anticuerpos Antivirales/inmunología , Linfocitos B/inmunología , COVID-19/complicaciones , COVID-19/mortalidad , Estudios de Cohortes , Femenino , Neoplasias Hematológicas/complicaciones , Humanos , Inmunidad Celular/inmunología , Inmunidad Humoral/inmunología , Inmunofenotipificación , Modelos Logísticos , Masculino , Persona de Mediana Edad , Análisis Multivariante , Neoplasias/complicaciones , Modelos de Riesgos Proporcionales , Estudios Prospectivos , SARS-CoV-2 , Tasa de Supervivencia
4.
Res Sq ; 2021 Feb 02.
Artículo en Inglés | MEDLINE | ID: mdl-33564756

RESUMEN

Cancer patients have increased morbidity and mortality from Coronavirus Disease 2019 (COVID-19), but the underlying immune mechanisms are unknown. In a cohort of 100 cancer patients hospitalized for COVID-19 at the University of Pennsylvania Health System, we found that patients with hematologic cancers had a significantly higher mortality relative to patients with solid cancers after accounting for confounders including ECOG performance status and active cancer status. We performed flow cytometric and serologic analyses of 106 cancer patients and 113 non-cancer controls from two additional cohorts at Penn and Memorial Sloan Kettering Cancer Center. Patients with solid cancers exhibited an immune phenotype similar to non-cancer patients during acute COVID-19 whereas patients with hematologic cancers had significant impairment of B cells and SARS-CoV-2-specific antibody responses. High dimensional analysis of flow cytometric data revealed 5 distinct immune phenotypes. An immune phenotype characterized by CD8 T cell depletion was associated with a high viral load and the highest mortality of 71%, among all cancer patients. In contrast, despite impaired B cell responses, patients with hematologic cancers and preserved CD8 T cells had a lower viral load and mortality. These data highlight the importance of CD8 T cells in acute COVID-19, particularly in the setting of impaired humoral immunity. Further, depletion of B cells with anti-CD20 therapy resulted in almost complete abrogation of SARS-CoV-2-specific IgG and IgM antibodies, but was not associated with increased mortality compared to other hematologic cancers, when adequate CD8 T cells were present. Finally, higher CD8 T cell counts were associated with improved overall survival in patients with hematologic cancers. Thus, CD8 T cells likely compensate for deficient humoral immunity and influence clinical recovery of COVID-19. These observations have important implications for cancer and COVID-19-directed treatments, immunosuppressive therapies, and for understanding the role of B and T cells in acute COVID-19.

5.
Nat Med ; 26(7): 1114-1124, 2020 07.
Artículo en Inglés | MEDLINE | ID: mdl-32483360

RESUMEN

In many areas of oncology, we lack sensitive tools to track low-burden disease. Although cell-free DNA (cfDNA) shows promise in detecting cancer mutations, we found that the combination of low tumor fraction (TF) and limited number of DNA fragments restricts low-disease-burden monitoring through the prevailing deep targeted sequencing paradigm. We reasoned that breadth may supplant depth of sequencing to overcome the barrier of cfDNA abundance. Whole-genome sequencing (WGS) of cfDNA allowed ultra-sensitive detection, capitalizing on the cumulative signal of thousands of somatic mutations observed in solid malignancies, with TF detection sensitivity as low as 10-5. The WGS approach enabled dynamic tumor burden tracking and postoperative residual disease detection, associated with adverse outcome. Thus, we present an orthogonal framework for cfDNA cancer monitoring via genome-wide mutational integration, enabling ultra-sensitive detection, overcoming the limitation of cfDNA abundance and empowering treatment optimization in low-disease-burden oncology care.


Asunto(s)
Biomarcadores de Tumor/genética , ADN Tumoral Circulante/sangre , ADN de Neoplasias/genética , Neoplasias/sangre , Biomarcadores de Tumor/sangre , Ácidos Nucleicos Libres de Células/sangre , Variaciones en el Número de Copia de ADN/genética , ADN de Neoplasias/sangre , Supervivencia sin Enfermedad , Femenino , Genoma Humano/genética , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Estimación de Kaplan-Meier , Masculino , Mutación/genética , Neoplasias/genética , Neoplasias/patología , Carga Tumoral/genética , Secuenciación Completa del Genoma
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