Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Proffered paper session on SARS and Covid19

319O - The systemic pro-inflammatory response identifies cancer patients with adverse outcomes from SARS-CoV-2 infection

Date

21 Nov 2020

Session

Proffered paper session on SARS and Covid19

Topics

COVID-19 and Cancer

Tumour Site

Presenters

Gino Dettorre

Citation

Annals of Oncology (2020) 31 (suppl_6): S1366-S1370. 10.1016/annonc/annonc363

Authors

G. Dettorre1, N. Diamantis2, A. Loizidou3, M. Piccart4, J. Chester5, A. Jackson6, V. Tovazzi7, V. Fotia8, A. Sita-Lumsden9, M. Bower10, G. Gaidano11, E. Felip12, D. Ottaviani13, C. Sng13, L. Rimassa14, A. Santoro14, J. Aguilar-Company15, E. Seguí16, S. Dolly9, D. Pinato17

Author affiliations

  • 1 Department Of Surgery And Cancer, Imperial College London - Hammersmith Hospital, W12 0HS - London/GB
  • 2 Medical Oncology, Barts Health NHS Trust, London/GB
  • 3 Infectious Diseases, Institut Jules Bordet, Brussels/BE
  • 4 Medical Oncology, Institut Jules Bordet, Brussels/BE
  • 5 Medical Oncology, Velindre Cancer Centre, Cardiff/GB
  • 6 Clinical Trials Unit, Velindre Cancer Centre, Cardiff/GB
  • 7 Unit Of Medical Oncology, Spedali Civili di Brescia, Brescia/IT
  • 8 Oncology Unit, ASST Papa Giovanni XXIII, Bergamo/IT
  • 9 Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London/GB
  • 10 Medical Oncology, Chelsea & Westminster Hospital, London/GB
  • 11 Translational Medicine, University of Piemonte Orientale "Amedeo Avogadro", Novara/IT
  • 12 Breast Cancer Unit, Catalan Institute of Oncology, Badalona/ES
  • 13 Cancer Division, University College London Hospitals, London/GB
  • 14 Medical Oncology And Hematology, Humanitas Cancer Center, Humanitas Clinical and Research Center - IRCCS, Milan/IT
  • 15 Medical Oncology, Vall d'Hebron University Hospital, Barcelona/ES
  • 16 Medical Oncology, Hospital Clinic, Barcelona/ES
  • 17 Department Of Surgery And Cancer, Imperial College London, W12 0HS - London/GB

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 319O

Background

Systemic inflammation is a unifying mechanism common to cancer progression and SARS-CoV-2 infection. Mortality from Covid-19 strongly relates to systemic inflammatory reaction to SARS-CoV-2. We sought to determine whether inflammatory biomarkers can identify poor outcome in cancer patients with Covid-19.

Methods

Between 27/02 and 23/06/2020, OnCovid retrospectively accrued 1,318 consecutive Covid-19-infected cancer patients aged >18 from 25 academic centers in the U.K., Spain, Italy, Germany and Belgium. Patients with leukemia, myeloma or insufficient data were excluded. We tested neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), modified Glasgow prognostic score (mGPS), and prognostic index (PI) as prognostic biomarkers. NLR, PLR and PNI were dichotomized around their medians.

Results

1,071 eligible patients were sorted into a training set (TS, n=529) and validation set (VS, n=542). TS and VS were matched by age (67.9±13.3 TS, 68.5±13.5 VS), active malignancy at Covid-19 diagnosis (66.7% TS, 61.6% VS), presence of >1 comorbidity (52.1% TS, 49.8% VS) and prevalence of complications including respiratory failure (58.0% TS, 59.0% VS) and ARDS (11.5% TS, 12.9% VS). In the TS, higher mortality rates were associated with NLR>6 (44.6% vs 28%, p<0.0001), PNI<40 (46.6% vs 20.9%, p<0.0001), mGPS (50.6% for mGPS2 vs 30.4% and 11.4% for mGPS1 and 0, p<0.0001), and PI (50% for PI2 vs 40% for PI1 and 9.1% for PI0, p<0.0001). Patients in poor risk categories had shorter median overall survival [OS], (NLR>6 30 days 95%CI 1-63, PNI<40 23 days 95%CI 10-35, mGPS2 20 days 95%CI 8-32, PI2 23 days 95%CI 1-56) compared to patients in good risk categories, for whom median OS was not reached (p<0.0001 for all comparisons). The PLR was not associated with survival. Analyses of survival in the VS confirmed NLR, PNI, PI and mGPS as predictors of survival (p<0.0001).

Conclusions

Systemic inflammation is a key driver of mortality from SARS-CoV-2 in cancer patients. The NLR, PNI, mGPS, and PI are externally validated biomarkers to quantify systemic inflammation in patients with cancer and can be used as bedside tests to stratify patients at risk of poorer outcome from Covid-19.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Imperial College London.

Funding

Wellcome Trust Strategic Fund (PS3416).

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.