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E-Poster Display

1729P - Influence of recent administration and type of oncological treatment (T) in survival of oncological patients (p) with COVID-19: Experience of Vall d’Hebron University Hospital

Date

17 Sep 2020

Session

E-Poster Display

Topics

COVID-19 and Cancer

Tumour Site

Presenters

David García-Illescas

Citation

Annals of Oncology (2020) 31 (suppl_4): S934-S973. 10.1016/annonc/annonc289

Authors

D. García-Illescas1, N. Saoudi Gonzalez1, O. Mirallas1, J. Aguilar-Company2, I. Ruiz-Camps3, A. Garcia-Alvarez1, M.J. Lostes Bardaji1, A. Valdivia1, D.H. Marmolejo Castaneda1, M.A. Rezqallah Aron1, D.E. López Valbuena1, E. Felip4, J. Carles4, J. Tabernero4

Author affiliations

  • 1 Medical Oncology, Vall d'Hebron University Hospital, 08035 - Barcelona/ES
  • 2 Infectious Diseases, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), 08035 - Barcelona/ES
  • 3 Infectious Diseases, Vall d'Hebron University Hospital, 08035 - Barcelona/ES
  • 4 Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), 08035 - Barcelona/ES

Resources

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Abstract 1729P

Background

SARS-CoV-2 outbreak has impacted on the management of oncological p, leading to treatment delays in a considerable number of cases. The aim of this study was to evaluate if oncological T affected negatively COVID-19 outcome.

Methods

We retrospectively analyzed clinical data from p with solid tumors under active systemic T (received in the last 6 months) that were diagnosed with SARS-CoV-2 infection (defined as positive PCR) between March and 11th May 2020 in our center. Study endpoint was death due to COVID-19. We divided the patients in two groups; those who had received treatment in the last 4 weeks and those who had not. Descriptive and univariate analysis were performed to detect the effect of T type and other variables on COVID-19 related mortality.

Results

A total of 70 p were included with a median follow-up of 28 days (10-47) and active oncological T had been administered in the past 4 weeks to 44 p. Median age was 66 (IQR 56-74), 23 p (52.27%) were female and 41 (93.2%) had a baseline ECOG≤1. The most frequent primary site was lung tumor (12 p [27.3%]), followed by breast (11 p [25%]) and gastrointestinal (5 p [11.4%]). Thirty-one p (70.5%) had metastatic disease and 13 (29.5%) were included in clinical trials. Twenty-four p (54.5%) received chemotherapy (CT), 14 (31.8%) targeted therapies, 9 (20.4%) immunotherapy (IT), 5 (11.4%) radiotherapy and 6 (13.6%) hormonotherapy. A total of 13 p (29.5%) received different combinations of oncological T. Death due to COVID-19 occurred in 5/22 (22.7%) p receiving CT and 6/21 (28.5%) p in the non-CT (p>0.05). Only 1/9 (11.1%) p treated with IT died compared to 11/35 (31.4%) p in the rest of the cohort (p>0.05). Age>71, comorbidities such as chronic obstructive pulmonary disease and ECOG status>2 were associated to a higher mortality. The distribution of these variables between the anticancer T groups was not different.

Conclusions

Our results suggest that CT and other anticancer T might not worsen COVID-19 related mortality; nevertheless, the number of patients was small. and decision making has to be individualized. Our findings may warrant further investigation in larger studies.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

E. Felip: Advisory/Consultancy, Speaker Bureau/Expert testimony: AbbVie; AstraZeneca; Blueprint medicines; Boehringer Ingelheim; Bristol-Myers Squibb; Celgene; Eli Lilly; Guardant Health; Janssen; Medscape; Merck KGaA; Novartis; Pfizer; Roche; Takeda; Touchtime; Research grant/Funding (self), Research grant/Funding (institution): Fundación Merck Salud; Oncology Innovation EMD Serono. J. Carles: Advisory/Consultancy, Speaker Bureau/Expert testimony: Johnson & Johnson; Bayer; Advisory/Consultancy, Speaker Bureau/Expert testimony, Research grant/Funding (self): Astellas Pharma; Advisory/Consultancy: Pfizer; Sanofi; MSD Oncology; Advisory/Consultancy, Research grant/Funding (self): Roche; Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: AstraZéneca; Speaker Bureau/Expert testimony: Asofarma; Research grant/Funding (self), Travel/Accommodation/Expenses: BMS; ravel/Accommodation/Expenses: Ipsen; Roche; Research grant/Funding (self): AB Science; Aragon Pharmaceuticals; Pharmaceuticals; INC; Blueprint Medicines Corporation; N Immunotherapeutics INC; Boehringer Ingelheim España, S.A.; Clovis Oncology; Cougar Biotechnology INC; Deciphera Pharmaceuticals LLC; Exelixis INC; F. Hoffmann-La Roche LTD; Genentech INC; Glaxosmithkline; Incyte Corporation; Janssen-Cilag International NV; Karyopharm Therapeutics INC; Laboratoires Leurquin Mediolanum SAS. J. Tabernero: Honoraria (self): Array Biopharma; AstraZeneca; Bayer; BeiGene; Boehringer Ingelheim; Chugai; Genentech; Genmab A/S; Halozyme; Imugene Limited; Inflection Biosciences Limited; Ipsen; Kura Oncology; Lilly; MSD; Merck Serono; Menarini; Merrimack; Merus; Molecular Partners; Novartis; Peptomyc; Pfizer; Pharmacyclics; ProteoDesign SL; Rafael Pharmaceuticals; F. Hoffmann-La Roche Ltd;): Sanofi; SeaGen; Seattle Genetics, Servier, Symphogen, Taiho, VCN Biosciences, Biocartis, Foundation Medicine, HalioDX SAS and Roche Diagnostics. All other authors have declared no conflicts of interest.

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