Systemic pro-inflammatory response identifies patients with cancer with adverse outcomes from SARS-CoV-2 infection: the OnCovid Inflammatory Score.
COVID-19
inflammation
inflammation mediators
Journal
Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
accepted:
05
02
2021
entrez:
23
3
2021
pubmed:
24
3
2021
medline:
7
4
2021
Statut:
ppublish
Résumé
Patients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study. In a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets. We evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p<0.01), recovering in survivors to pre-COVID-19 levels. Patients in poorer risk categories for each index except the PLR exhibited higher mortality rates (p<0.001) and shorter median overall survival in the training and validation sets (p<0.01). Multivariable analyses revealed the OIS to be most independently predictive of survival (validation set HR 2.48, 95% CI 1.47 to 4.20, p=0.001; adjusted concordance index score 0.611). Systemic inflammation is a validated prognostic domain in SARS-CoV-2-infected patients with cancer and can be used as a bedside predictor of adverse outcome. Lymphocytopenia and hypoalbuminemia as computed by the OIS are independently predictive of severe COVID-19, supporting their use for risk stratification. Reversal of the COVID-19-induced proinflammatory state is a putative therapeutic strategy in patients with cancer.
Sections du résumé
BACKGROUND
Patients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study.
METHODS
In a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets.
RESULTS
We evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p<0.01), recovering in survivors to pre-COVID-19 levels. Patients in poorer risk categories for each index except the PLR exhibited higher mortality rates (p<0.001) and shorter median overall survival in the training and validation sets (p<0.01). Multivariable analyses revealed the OIS to be most independently predictive of survival (validation set HR 2.48, 95% CI 1.47 to 4.20, p=0.001; adjusted concordance index score 0.611).
CONCLUSIONS
Systemic inflammation is a validated prognostic domain in SARS-CoV-2-infected patients with cancer and can be used as a bedside predictor of adverse outcome. Lymphocytopenia and hypoalbuminemia as computed by the OIS are independently predictive of severe COVID-19, supporting their use for risk stratification. Reversal of the COVID-19-induced proinflammatory state is a putative therapeutic strategy in patients with cancer.
Identifiants
pubmed: 33753569
pii: jitc-2020-002277
doi: 10.1136/jitc-2020-002277
pmc: PMC7985977
pii:
doi:
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Commentaires et corrections
Type : ErratumIn
Informations de copyright
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: DJP received lecture fees from ViiV Healthcare and Bayer Healthcare and travel expenses from BMS and Bayer Healthcare; consulting fees for Mina Therapeutics, EISAI, Roche, and Astra Zeneca; research funding (to institution) from MSD and BMS. AP has declared personal honoraria from Pfizer, Novartis, Roche, MSD Oncology, Eli Lilly, and Daiichi Sankyo; travel, accommodations, and expenses paid by Daiichi Sankyo; research funding from Roche and Novartis; and consulting/advisory role for NanoString Technologies, Amgen, Roche, Novartis, Pfizer and Bristol-Myers Squibb. TND has declared consulting/advisory role for Amgen, Bayer, AstraZeneca, BMS, Boehringer Ingelheim, Eli Lilly, MSD, Novartis, Otsuka, Pfizer, Roche, and Takeda; speakers fees from AstraZeneca, MSD, Roche, Takeda; and travel, accommodations and expenses paid by AstraZenca, BMS, Boehringer Ingelheim, Lilly, MSD, Otsuka, Roche, and Takeda. JB has declared consulting/advisory role for MSD and Astra Zeneca. PPS has declared consulting/advisory role for Sanofi and Abbvie. AP has declared consulting/advisory role for Takeda and Sanofi. MP has declared consulting/advisory role for Gilead and Bayer. AG has declared consulting/advisory role for Roche, MSD, Eli Lilly, Pierre Fabre, EISAI, and Daichii Sankyo; speakers bureau for Eisai, Novartis, Eli Lilly, Roche, Teva, Gentili, Pfizer, Astra Zeneca, Celgene, and Daichii Sankyo; research funds: EISAI, Eli Lilly, and Roche. LR reports receiving consulting fees from Amgen, ArQule, AstraZeneca, Basilea, Bayer, Celgene, Eisai, Exelixis, Hengrui, Incyte, Ipsen, Lilly, MSD, Nerviano Medical Sciences, Roche, and Sanofi; lectures fees from AbbVie, Amgen, Eisai, Gilead, Incyte, Ipsen, Lilly, Roche, and Sanofi; travel fees from Ipsen; and institutional research funding from Agios, ARMO BioSciences, AstraZeneca, BeiGene, Eisai, Exelixis, Fibrogen, Incyte, Ipsen, Lilly, MSD, and Roche. All remaining authors have declared no conflicts of interest.
Références
Prog Cardiovasc Dis. 2020 May - Jun;63(3):390-391
pubmed: 32169400
Thromb Haemost. 2020 May;120(5):876-878
pubmed: 32246450
J Cancer Res Clin Oncol. 2014 Sep;140(9):1537-49
pubmed: 24878931
Cancers (Basel). 2020 Jul 08;12(7):
pubmed: 32650523
Nat Rev Immunol. 2020 Jun;20(6):363-374
pubmed: 32346093
Nat Rev Cancer. 2009 Jan;9(1):15-27
pubmed: 19078975
Oncol Rep. 2009 Apr;21(4):1091-5
pubmed: 19288013
Ann Oncol. 2020 Jul;31(7):894-901
pubmed: 32224151
J Biomed Inform. 2009 Apr;42(2):377-81
pubmed: 18929686
Cancer Discov. 2020 Jul 31;:
pubmed: 32737082
N Engl J Med. 1999 Sep 30;341(14):1051-62
pubmed: 10502596
Clin Microbiol Infect. 2020 Jun;26(6):767-772
pubmed: 32304745
Cancer Discov. 2020 Jun;10(6):783-791
pubmed: 32345594
JAMA. 2020 Aug 25;324(8):782-793
pubmed: 32648899
Br J Cancer. 2011 Feb 15;104(4):726-34
pubmed: 21266974
Euro Surveill. 2020 Jan;25(3):
pubmed: 31992387
Clin Chim Acta. 2020 Jul;506:145-148
pubmed: 32178975
J Allergy Clin Immunol. 2020 Jul;146(1):110-118
pubmed: 32294485
Lancet Oncol. 2020 May;21(5):622-624
pubmed: 32304634
Liver Int. 2019 Nov;39(11):2008-2023
pubmed: 31433891
Nephron Extra. 2013 Oct 11;3(1):91-100
pubmed: 24403910
Clin Chim Acta. 2020 Oct;509:249-251
pubmed: 32579952
Signal Transduct Target Ther. 2020 Mar 27;5(1):33
pubmed: 32296069
Crit Rev Oncol Hematol. 2013 Oct;88(1):218-30
pubmed: 23602134
Biomarkers. 2012 May;17(3):216-22
pubmed: 22424597
J Biomed Inform. 2019 Jul;95:103208
pubmed: 31078660
Immunol Today. 1994 Feb;15(2):74-80
pubmed: 7512342
Blood. 2004 Jan 1;103(1):20-32
pubmed: 12969978
Cancer Cell. 2020 Jun 8;37(6):742-745
pubmed: 32425702