Literature DB >> 32640049

Immune checkpoint inhibition in the era of COVID-19.

J Kurzhals1, P Terheyden1, E A Langan1,2.   

Abstract

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Year:  2020        PMID: 32640049      PMCID: PMC9213895          DOI: 10.1111/ced.14370

Source DB:  PubMed          Journal:  Clin Exp Dermatol        ISSN: 0307-6938            Impact factor:   4.481


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The worldwide coronavirus pandemic continues to result in significant morbidity and mortality, with almost 24 million confirmed cases to date. Approximately 80% of patients have mild disease and do not require hospitalization. A key challenge facing the medical community is predicting which patients are at risk of developing severe disease, in order to initiate early supportive treatment and to facilitate enrolment into much needed prospective clinical trials, both crucial for developing and optimizing effective treatment strategies. Patients with cancer have already been identified as having an increased risk of developing not only COVID‐19 infection, but also severe disease, both of which are associated with poorer clinical outcomes. Reassuringly, the increase in mortality from COVID‐19 infection in patients with cancer may be primarily related to age, sex and comorbidities rather than to the cancer itself. Furthermore, there was no increased mortality in patients receiving and those not receiving anticancer therapy. Nevertheless, it is at least conceivable that the type of anticancer therapy may influence the risk and course of COVID‐19 infection in patients with cancer. Given the increasing use of immune checkpoint inhibition in Dermatology (metastatic melanoma, Merkel cell carcinoma and squamous cell carcinoma) we reviewed the current literature to determine the extent to which immune checkpoint inhibition has been associated with COVID‐19 infection. We performed PubMed searches to 22 June 2020 using the search terms ‘COVID‐19’ or ‘SARS‐CoV‐2’, and ‘immune checkpoint’, ‘nivolumab’, ‘ipilimumab’, ‘pembrolizumab’, ‘avelumab’, ‘cemiplimab’ or ‘atezolizumab’. Only articles in English were included for further analysis. We identified seven case reports and one case series of patients treated with immune checkpoint inhibitors who developed SARS‐CoV‐2 infections (Table 1), a total of 10 patients. An additional case of coronavirus HKU1 was reported.
Table 1

Details of the patients on immune checkpoint inhibitors with COVID‐19 infection found in the literature.

AuthorSerzan et al., 20201Lovly et al., 20202Szabados et al., 20203Schmidle et al, 20204Artigas et al., 20205Bonomi et al., 20206Yekedüz et al., 20207O'Kelly et al., 20208
Article typeCase reportCase reportCase seriesCase reportCase reportCase reportCase reportCase report
Age, years6556526866724751657522
SexMaleMaleMaleMaleMaleMaleFemaleMaleMaleFemaleFemale
EthnicityCaucasianNSNSNSNSNSNSNSNSNSNot stated
ComorbiditiesDiabetes, COPDHypertensionHypertensionHypertensionHypertension, diabetesNSNSCOPDCOPD, IHD/AF, hypertension, diabetesPrevious chemotherapy, brentuximab
SmokerNSYesNoYesNoYesNSNSNSNSNS
Cancer typeStage IV melanomaSmall cell lung cancerRenal cell carcinomaRenal cell carcinomaUrothelial carcinomaUrothelial carcinomaStage IV melanoma adj.Renal cell carcinomaLung adenocarcinomaStage IV melanomaHodgkin lymphoma
I‐C treatmentIpilimumab 3 mg/kg, nivolumab 1 mg/kgCarboplatin, etoposide, atezolizumabIpilimumab, nivolumabIpilimumab, nivolumabAtezolizumabAtezolizumabNivolumabNivolumabNivolumabNivolumabPembrolizumab
Time to symptoms48 h48 h2 cycles1 cycle6 months4 months7 months4 months7 months27 cycles6 cycles (every 6 weeks)
SymptomsDyspnoea; yellow sputumDyspnoea; chest pain coughSteroids for irAE (rash) after 32 days; dyspnoea; fever; coughFever; coughDyspnoea. cough; pneumonitis treated with steroidsCough; diarrhoea; renal failureCough; headache; fever; sore throatFatigueConfusion; fever; dyspnoeaDiarrhoea; dyspnoea; feverCough; fever; sore throat
CT findingsGround‐glass infiltratesBilateral milk glass infiltratesBilateral lung infiltratesNSFibrotic lung changesNSUnremarkableGround‐glass opacitiesCXR: interstitial changesBilateral pleural thickeningBilateral infiltrates
SARS‐Cov‐2 PCR positiveCoronavirus HKU1‐positivePositiveNSPositivePositivePositivePositivePositivePositivePositivePositive
SerologyIgM/IgG SARS‐Cov‐2 antibodiesIgG SARS‐Cov‐2 Antibodies
Weakly positivePositive
TreatmentHigh‐dose corticosteroids, tapered when swab result was positive; nivolumab monotherapy initiatedMethylprednisolone 1 g/day for 2 days; prednisolone 1 mg/kg; prednisolone 2 mg/kg; infliximab 5 mg/mg; vancomycin; piperacillin/tazobactam; immunoglobulins 1 g/kg; steroids weaned; mechanical ventilation; hypoxaemic respiratory; failure; PD‐L1 increased in alveolar walls where viral DNA was detected; IgG response suggested infection before immunotherapy and chemotherapyHigh‐flow oxygen; co‐amoxiclav; clarithromycinSelf‐isolationSelf‐isolationVolume replacement; PIP/TAZSupportivePIP/TAZ; HCQOxygen; antibioticsOxygen; PIP/TAZ; oseltamivir; clarithromycin; metronidazole; azithromycin; HCQ. When CT showed ground‐glass opacities, favipravir addedOxygen; PIP/TAZ; doxycycline; lopinavir; ritonavir; HCQ; azithromycin; lopinavir/ritonavir stopped
ICI treatmentNivolumab resumed thenIT discontinuedIT not yet recommencedIT recommencedIT recommencedIT recommencedNSNSNANANS
discontinued after CR
OutcomeAliveDeadAliveAliveAliveAliveAliveNot specifiedDeadDeadAlive
Details of the patients on immune checkpoint inhibitors with COVID‐19 infection found in the literature. Of the 10 patients with SARS‐CoV‐2, 30% were women and age range was 22–75 years. Half (50%) of the cases had an underlying urological tumour, 20% had metastatic melanoma, 20% had lung cancer and 10% had a haematological malignancy. Regarding treatment, 30% of the patients had received an anti‐PD‐L1 treatment (atezolizumab), 20% a combined anti‐CTLA‐4/anti‐PD‐1 treatment, 40% were treated with nivolumab (anti‐PD‐1) monotherapy and one patient (10%) received pembrolizumab (also anti‐PD1). The effect of comorbidity, smoking status and ethnicity was difficult to ascertain as these were inconsistently recorded. Time from initiation of immune checkpoint inhibitor to the development of COVID‐19 symptoms ranged from 48 h to > 1 year. The treatments for COVID‐19 infection varied considerably, but 70% of cases received antibiotics, 20% antiviral medication and 30% received hydroxychloroquine (some patients received > 1 treatment). Three patients did not require specific therapy. The patient with coronavirus HKU1 received systemic corticosteroids for presumed checkpoint‐mediated pneumonitis. In fact, the clinical and radiological presentation of immune checkpoint‐related pneumonitis may be indistinguishable from that of SARS‐CoV‐2, making early SARS‐CoV‐2 PCR testing crucial. Three patients (30%) died due to coronavirus infection. Of the remaining patients, immune checkpoint therapy was recommenced or planned for four. We found that only 10 patients with COVID‐19 infection during immune checkpoint inhibition therapy have been reported. However, it is worth noting that 30% of the cases had a very mild clinical course and did not require hospitalization. Moreover, immune checkpoint therapy was safely recommenced in several patients. These points are extremely important given the fear and anxieties of patients with cancer regarding COVID‐19 infection, which may lead some patients to unnecessarily delay or interrupt therapy. Ultimately, the decision on whether to initiate and/or continue immune checkpoint therapy during the coronavirus pandemic must be based on a detailed consideration of several factors, including tumour burden and progression, comorbidities, existing immunosuppression, palliative vs. adjuvant treatment and alternative treatment options, and cannot be generalized. Geographical coronavirus prevalence should also be considered. Irrespective of the final cancer treatment decision, the importance of facial coverings, social distancing, shielding and hand hygiene should also be emphasized. Moving forward, there seems to be a strong case for a comprehensive and standardized prospective register of COVID infections during immune checkpoint inhibition therapy, at least at the local and national levels. This would provide vital information to determine how checkpoint inhibition influences the course of the disease, enabling clinicians to counsel their patients adequately. Furthermore, in light of the apparent increased mortality in various ethnic groups,, combined with the potential under‐reporting of ethnicity in the published COVID‐19 dermatological literature, a register would ensure that key risk factors are not overlooked. In the absence of this information, it seems prudent to thoroughly assess all patients due to commence, and those currently undergoing, immune checkpoint therapy, for coronavirus risk factors and symptoms, complemented by early and rigorous SARS‐CoV‐2 PCR testing where clinically indicated and available.
  7 in total

1.  Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study.

Authors:  Simon de Lusignan; Jienchi Dorward; Ana Correa; Nicholas Jones; Oluwafunmi Akinyemi; Gayatri Amirthalingam; Nick Andrews; Rachel Byford; Gavin Dabrera; Alex Elliot; Joanna Ellis; Filipa Ferreira; Jamie Lopez Bernal; Cecilia Okusi; Mary Ramsay; Julian Sherlock; Gillian Smith; John Williams; Gary Howsam; Maria Zambon; Mark Joy; F D Richard Hobbs
Journal:  Lancet Infect Dis       Date:  2020-05-15       Impact factor: 25.071

2.  COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study.

Authors:  Lennard Yw Lee; Jean-Baptiste Cazier; Vasileios Angelis; Roland Arnold; Vartika Bisht; Naomi A Campton; Julia Chackathayil; Vinton Wt Cheng; Helen M Curley; Matthew W Fittall; Luke Freeman-Mills; Spyridon Gennatas; Anshita Goel; Simon Hartley; Daniel J Hughes; David Kerr; Alvin Jx Lee; Rebecca J Lee; Sophie E McGrath; Christopher P Middleton; Nirupa Murugaesu; Thomas Newsom-Davis; Alicia Fc Okines; Anna C Olsson-Brown; Claire Palles; Yi Pan; Ruth Pettengell; Thomas Powles; Emily A Protheroe; Karin Purshouse; Archana Sharma-Oates; Shivan Sivakumar; Ashley J Smith; Thomas Starkey; Chris D Turnbull; Csilla Várnai; Nadia Yousaf; Rachel Kerr; Gary Middleton
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

3.  Absence of images of skin of colour in publications of COVID-19 skin manifestations.

Authors:  J C Lester; J L Jia; L Zhang; G A Okoye; E Linos
Journal:  Br J Dermatol       Date:  2020-07-16       Impact factor: 11.113

4.  Controversies about COVID-19 and anticancer treatment with immune checkpoint inhibitors.

Authors:  Melissa Bersanelli
Journal:  Immunotherapy       Date:  2020-03-26       Impact factor: 4.196

5.  Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China.

Authors:  Wenhua Liang; Weijie Guan; Ruchong Chen; Wei Wang; Jianfu Li; Ke Xu; Caichen Li; Qing Ai; Weixiang Lu; Hengrui Liang; Shiyue Li; Jianxing He
Journal:  Lancet Oncol       Date:  2020-02-14       Impact factor: 41.316

6.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

7.  Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank.

Authors:  Claire L Niedzwiedz; Catherine A O'Donnell; Bhautesh Dinesh Jani; Evangelia Demou; Frederick K Ho; Carlos Celis-Morales; Barbara I Nicholl; Frances S Mair; Paul Welsh; Naveed Sattar; Jill P Pell; S Vittal Katikireddi
Journal:  BMC Med       Date:  2020-05-29       Impact factor: 11.150

  7 in total

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