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1.
Br J Haematol ; 204(2): 497-506, 2024 02.
Artículo en Inglés | MEDLINE | ID: mdl-37786970

RESUMEN

Information regarding the protective anti-SARS-CoV-2 antibody levels and the effectiveness of the mRNA vaccines against the Omicron variant in patients with haematological malignancies is limited. We prospectively followed two times BNT162b2 vaccinated oncohaematological patients (n = 1010) without prior COVID-19 for PCR-confirmed breakthrough infections during the Alpha/Delta and the Omicron phases of the pandemic. Anti-S1-IgG levels were longitudinally monitored in patients who had received the third (booster) vaccine dose. Patients with anti-S1-IgG levels <50 BAU/mL 1 month after the booster had a higher risk of Omicron infections (RR 1.91; 95% CI 1.39-2.63; p = 0.0001) and severe infections (RR 8.74; 95% CI 3.99-19.1; p < 0.0001). Conversely, the risk of severe COVID-19 was <1% with anti-S1-IgG levels >500 BAU/mL and neutralizing antibody concentrations >50 U/mL. The risks of breakthrough Omicron infections (HR 0.55; 95% CI 0.32-0.96; p = 0.034) and severe COVID-19 (HR 0.27; 95% 0.11-0.7; p = 0.0074) were lower among patients who had received the booster dose. In conclusion, low antibody levels are associated with significantly increased risk of both the breakthrough Omicron infections and severe COVID-19. The third mRNA vaccine dose improved the protection against the Omicron and reduced the risk of severe disease.


Asunto(s)
COVID-19 , Neoplasias Hematológicas , Humanos , SARS-CoV-2 , Vacunas de ARNm , Vacuna BNT162 , Estudios Prospectivos , Resultado del Tratamiento , Anticuerpos Neutralizantes , Anticuerpos Antivirales , Inmunoglobulina G
3.
Nucleic Acids Res ; 50(17): e97, 2022 09 23.
Artículo en Inglés | MEDLINE | ID: mdl-35713566

RESUMEN

De novo mutations (DNMs) are an important cause of genetic disorders. The accurate identification of DNMs from sequencing data is therefore fundamental to rare disease research and diagnostics. Unfortunately, identifying reliable DNMs remains a major challenge due to sequence errors, uneven coverage, and mapping artifacts. Here, we developed a deep convolutional neural network (CNN) DNM caller (DeNovoCNN), that encodes the alignment of sequence reads for a trio as 160$ \times$164 resolution images. DeNovoCNN was trained on DNMs of 5616 whole exome sequencing (WES) trios achieving total 96.74% recall and 96.55% precision on the test dataset. We find that DeNovoCNN has increased recall/sensitivity and precision compared to existing DNM calling approaches (GATK, DeNovoGear, DeepTrio, Samtools) based on the Genome in a Bottle reference dataset and independent WES and WGS trios. Validations of DNMs based on Sanger and PacBio HiFi sequencing confirm that DeNovoCNN outperforms existing methods. Most importantly, our results suggest that DeNovoCNN is likely robust against different exome sequencing and analyses approaches, thereby allowing the application on other datasets. DeNovoCNN is freely available as a Docker container and can be run on existing alignment (BAM/CRAM) and variant calling (VCF) files from WES and WGS without a need for variant recalling.


Asunto(s)
Aprendizaje Profundo , Secuenciación de Nucleótidos de Alto Rendimiento , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Análisis de Secuencia de ADN , Secuenciación del Exoma/métodos
4.
Lancet Haematol ; 8(8): e583-e592, 2021 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-34224668

RESUMEN

BACKGROUND: Haematological malignancies and their treatments are likely to affect SARS-CoV-2 vaccine efficacy. We aimed to evaluate serological response to BNT162b2 vaccine in patients with haematological malignancies by type of treatment. METHODS: Our national prospective cohort study was done in Lithuania and assessed serological response to one and two BNT162b2 (Comirnaty, Pfizer-BioNTech) vaccine doses in healthy health-care workers and in patients with haematological malignancies. Eligible participants were aged 18 years or older, had received both vaccine doses, and had available biobanked blood samples from before vaccination and after the second dose. Biobanked samples and health data were obtained from Vilnius University Hospital Santaros Klinikos Biobank. Abbott Architect SARS-CoV-2 IgG Quant II chemiluminescent microparticle assay was used to quantify serum anti-SARS-CoV-2-S1 IgG antibody (anti-S1 IgG antibody) concentrations 0-10 days before the first BNT162b2 vaccine, on the day of second immunisation (around day 21), and 7 to 21 days after the second immunisation. Adverse events were assessed by a standardised questionnaire. Breakthrough infections were characterised clinically and by SARS-CoV-2 genotyping whenever possible. This study is registered with ClinicalTrials.gov, NCT04871165. FINDINGS: Between Jan 8 and April 21, 2021, 885 participants with haematological malignancies were included in the study. 857 patients were anti-S1 IgG seronegative at timepoint 0 and constituted the main analysis cohort. The age-matched comparison was made between 315 patients with haematological malignancies who were aged 18-60 years and 67 healthy health-care workers in the same age group. Patients aged 18-60 years with haematological malignancies had lower median anti-S1 IgG antibody responses after two BNT162b2 vaccine doses than did health-care workers of the same age group (median 6961 AU/mL [IQR 1292-20 672] vs 21 395 AU/mL [14 831-33 553]; p<0·0001). Compared with untreated patients with haematological malignancies (n=53; median 5761 AU/mL [629-16 141]), patients actively treated with Bruton tyrosine kinase inhibitors (BTKIs; n=44; 0 AU/mL [0-7]; p<0·0001), ruxolitinib (n=16; 10 AU/mL [0-45]; p<0·0001), venetoclax (n=10; 4 AU/mL [0-1218]; p=0·0005), or anti-CD20 antibody therapy (n=87; 17 AU/mL [1-2319]; p<0·0001) showed particularly poor anti-S1 IgG antibody responses following two BNT162b2 doses. Patients being treated with tyrosine kinase inhibitors (n=41; 10 537 AU/mL [IQR 2335-19 388]) or patients who received autologous haematopoietic stem-cell transplantation (HSCT; n=192; 6203 AU/mL [1451-16 834]) or allogeneic HSCT (n=122; 6304 AU/mL [1120-16 913]) were among the subgroups with the highest numerical responses. Nine SARS-CoV-2 infections and three COVID-19 deaths were observed among fully vaccinated patients with haematological malignancies. INTERPRETATION: Patients with haematological malignancies mount blunted and heterogeneous antibody responses to the full course of BNT162b2 mRNA vaccination. Patients who are actively treated with BTKIs, ruxolitinib, venetoclax, or anti-CD20 antibody therapies seem to be the most negatively affected and might be left unprotected from SARS-CoV-2 infection. Breakthrough severe SARS-CoV-2 infections in fully vaccinated patients with haematological malignancies emphasise the importance of ongoing strict adherence to non-pharmacological interventions and household vaccination while SARS-CoV-2 is circulating in the community. FUNDING: Vilnius University Hospital Santaros Klinikos. TRANSLATION: For the Lithuanian translation of the abstract see Supplementary Materials section.


Asunto(s)
Anticuerpos Antivirales/inmunología , Vacunas contra la COVID-19/inmunología , COVID-19/inmunología , Neoplasias Hematológicas/inmunología , Inmunogenicidad Vacunal/inmunología , SARS-CoV-2/inmunología , Adulto , Anciano , Anciano de 80 o más Años , Vacuna BNT162 , COVID-19/epidemiología , COVID-19/prevención & control , COVID-19/virología , Femenino , Neoplasias Hematológicas/sangre , Neoplasias Hematológicas/complicaciones , Neoplasias Hematológicas/virología , Humanos , Lituania/epidemiología , Masculino , Persona de Mediana Edad , Estudios Prospectivos
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