Skip to main content
Clinical Medicine Insights. Oncology logoLink to Clinical Medicine Insights. Oncology
. 2022 Apr 18;16:11795549221090187. doi: 10.1177/11795549221090187

COVID-19 Infections in Cancer Patients Were Frequently Asymptomatic: Description From a French Prospective Multicenter Cohort (PAPESCO-19)

Ke Zhou 1,2, Jean-Luc Raoul 3,, Audrey Blanc-Lapierre 4, Valérie Seegers 4, Michèle Boisdron-Celle 5, Marianne Bourdon 1,6, Hakim Mahammedi 7, Aurélien Lambert 8, Camille Moreau-Bachelard 3, Mario Campone 3, Thierry Conroy 8, Frédérique Penault-Llorca 9, Martine M Bellanger 1,2, Frédéric Bigot 10
PMCID: PMC9021575  PMID: 35465469

Abstract

Background:

Cancer patients (CPs) are considered more vulnerable and as a high mortality group regarding COVID-19. In this analysis, we aimed to describe asymptomatic COVID (+) CPs and associated factors.

Methods:

We conducted a prospective study in CPs and health care workers (HCWs) in 4 French cancer centers (PAPESCO [PAtients et PErsonnels de Santé des Centres de Lutte Contre le Cancer pendant l’épidémie de COvid-19] study). This analysis used data recorded between June 17, 2020 and November 30, 2020 in CPs (first 2 waves, no variants). At inclusion and quarterly, CPs reported the presence of predefined COVID-19 symptoms and had a blood rapid diagnostic test; a reverse transcription polymerase chain reaction (RT-PCR) was done in case of suspected infection.

Results:

A total 878 CPs were included; COVID-19 prevalence was similar in both CPs (8%) and HCWs (9.5%); of the 70 CPs (8%) who were COVID (+), 29 (41.4%) were and remained asymptomatic; 241/808 of the COVID (−) (29.8%) were symptomatic. 18 COVID (+) were hospitalized (2% of CPs), 1 in intensive care unit (ICU) and 1 died (0.1% of CPs and 2.4% of symptomatic COVID [+] CPs). Only the inclusion center was associated with clinical presentation (in Nancy, Angers, Nantes, and Clermont-Ferrand: 65.4%, 35%, 28.6%, and 10% CPs were asymptomatic, respectively).

Conclusions:

Seroprevalence of COVID-19 in CPs was similar to that observed in HCWs; mortality related to COVID-19 among CPs was 0.1%. More than 40% of COVID (+) CPs were asymptomatic and one third of COVID (−) CPs had symptoms. Only geographic origin was associated with the presence or absence of symptoms. Social distancing and protective measures must be applied in CPs at home and when hospitalized.

Keywords: Cancer patients, COVID, asymptomatic

Introduction

The COVID-19 outbreak began in early 2020, spread worldwide, and was responsible for more than 235 million cases and 4.8 million deaths by September 2021. 1

Cancer patients (CPs) are considered a high mortality risk group,2,3 and appeared to be more vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 4 In the first cohorts of CPs, the diagnosis of COVID-19 was made essentially in symptomatic hospitalized patients, with a bias toward more severe cases. 2 ,5 -9 Prevalence of COVID-19 in asymptomatic CPs was low in initial studies testing with nasal swabs.10 -12 Serological tests are of major value, providing the cumulative prevalence of infection. 13 A French cross-sectional study observed low seropositivity, 1.7% and 1.8%, for SARS-CoV-2 in the two cohorts of healthcare workers (HCWs) and CPs, respectively, at the end of June, 2020. 14

To better evaluate the impacts of COVID-19 in French cancer centers, we conducted a study analyzing two cohorts (CPs and HCWs). A first analysis (from data collected in January 2021) has shown that (1) COVID (+) prevalence was 8% in CPs and 9.5% in HCWs, (2) symptom combinations were only slightly different between these two cohorts, (3) 32.1% of CPs and 51.6% of HCW had symptoms, and (4) severe outcomes were mainly observed in CPs. 15 This article aims to describe the population of asymptomatic CPs infected by SARS-COV-2 and to better understand any patterns.

Materials and Methods

This multicenter cohort study recording data from CPs and HCWs during the COVID pandemic—PAPESCO-19 (PAtients et PErsonnels de Santé des Centres de Lutte Contre le Cancer pendant l’épidémie de COvid-19) took place in 4 comprehensive cancer centers from 3 different French regions (Pays de Loire: Angers, Nantes; Grand-Est: Nancy; Auvergne-Rhône-Alpes: Clermont-Ferrand). It consists of 4 work packages: (1) serology and clinic, (2) public health, (3) economics, and (4) psychology. The study is now closed for inclusions (June 21, 2021). For this analysis, data were collected until January 25, 2021 from participants enrolled between June 17, 2020 and November 30, 2020, approximately the end of the French second wave (no variants reported in France), allowing us to capture the effects of two epidemic waves.

Participation in the study was proposed to patients attending the centers for active treatment or for follow-up (only if treatment stopped for more than 1 year). It included CPs aged ⩾ 18 years, and attending cancer centers for treatment or monitoring. Participants were eligible irrespective of whether they had presented symptoms since the COVID-19 outbreak. The participation period was 1 year with visits planned every 3 months. All participants signed an informed consent form, and the study was conducted in accordance with the Declaration of Helsinki. The Ethics Committee (CPP-IDF VIII, Boulogne-Billancourt) approved our study (number 20.04.15) on May 15, 2020. This study was registered at ClinicalTrials.gov Identifier: NCT04421625.

At baseline and quarterly, participants (1) reported the presence or not of 1 of 13 predefined COVID-19 symptoms (fever > 38°C, headache, anosmia, dysgeusia/ageusia, rhinorrhea, unusual cough, shortness of breath, muscle pain, intense fatigue, anorexia, red eyes [conjunctivitis], digestive disorders [diarrhea, vomiting, and abdominal pain], and chest pain) 16 observed from the beginning of the pandemic (at baseline) or in the 3 previous months (during follow-up), which the patients did not consider as related to any cancer treatment and (2) had blood sampling for a rapid diagnostic test done immediately (NG.TEST/SARS-CoV-2 IgG-IgM)17,18; aliquots were kept for antibody detection and measurement, to be performed at the end of the study. If CPs developed COVID-19 symptoms, they were required to perform an RT-PCR. Baseline demographic data, clinical details, and cancer history were recorded in the electronic case report forms. When analyzing symptoms, participants were considered symptomatic if they reported any of the listed symptoms. Those who did not report any symptoms were considered asymptomatic.14,19 Participants with at least one positive serological test or RT-PCR result were considered to be COVID (+) and those with negative serological and RT-PCR results were COVID (−).

Statistical analysis

We first estimated the proportions of asymptomatic and symptomatic COVID (+) CPs. We further analyzed asymptomatic COVID (+) cases by factors a priori selected as potential risk factors. We described CP characteristics using median and range for continuous variables, and count or percentages for categorical variables. We assessed whether the asymptomatic proportion of COVID (+) CPs differed between the factors described above. To ensure consistency in our analyses, we used logistic regression for both the continuous and categorical independent variables. For categorical variables with more than two levels, we created dummy variables for each level and performed the analysis accordingly. Alternatively, we used Fisher’s exact test when categories had a small number of individuals or included zero cell counts. In a sensitivity analysis, missing data were included separately to assess their potential bias. Finally, we used the Clopper–Pearson method to estimate the confidence interval (CI) of asymptomatic proportions. Based on cumulative normal distribution assumptions, we tested proportion differences between those from the literature and those from our study and reported the p-value. A P value < .05 was considered statistically significant. The Ennov Clinical system was used for data collection, and SAS 8.3 and STATA 14.2 software were used for statistical analysis.

Results

As previously reported, from June 17, 2020 to November 30, 2020, a total of 878 CPs were included (Table 1). 15

Table 1.

Characteristics of the cancer patient population included in this interim analysis.

Cancer patients (N = 878) n (%)
Sex
 Men 275 (31.3)
 Women 603 (68.7)
Age: Median (range) 62 (18-91)
Obesity (BMI > 30) 141 (19.9)
 Missing data 170
Tobacco smoking status
 Non-smoker 299 (47.8)
 Former smoker 228 (36.4)
 Smoker 99 (15.8)
 Missing data 252
No. of comorbidities
 0 481 (59.3)
 1 241 (29.7)
 > 2 89 (10.1)
 Missing data 67
No. of co-medications
 0 575 (71)
 > 1 235 (29)
 Missing data 68
Center
 Angers 238 (27.1)
 Clermont-Ferrand 159 (18.1)
 Nancy 280 (31.9)
 Nantes 201 (22.9)
Cancer location
 Breast 371 (45.7)
 Uterine, endometrial, cervical 86 (10.6)
 Digestive 58 (7.1)
 Prostate 59 (7.3)
 Urological 68 (8.4)
 Lung 73 (9)
 Miscellaneous 96 (11.8)
 Missing data 67
Cancer stage
 Localized 215 (27.6)
 Locally advanced 131 (16.8)
 Metastatic 433 (55.6)
 Missing data 99
ECOG-PS
 0 284 (41.6)
 1 364 (53.4)
 > 2 34 (5)
 Missing data 196
Last treatment before inclusion
 Chemotherapy 462 (57.4)
 Immunotherapy 123 (15.3)
 Targeted therapy 155 (19.3)
 Hormone therapy 95 (11.8)
 Radiotherapy 43 (5.3)
 Surgery 26 (3.2)
 Missing data 73

Abbreviation: BMI, body mass index.

In short, this population was composed of 68.7% women, median age was 62; 40.7% had comorbidities; 45% were treated for breast cancer; almost all (96.8%) were undergoing treatment and were ECOG performance status (PS) 0 (41.9%) or 1 (53.1%). Seventy CPs (8% of the included CPs) were COVID (+) (serological diagnosis: 59, positive RT-PCR: 26). The percentage of COVID (+) CPs was slightly different from one geographic area to another: Pays de Loire 7% in Nantes and 8.4% in Angers, Auvergne-Rhône-Alpes 6.3% in Clermont-Ferrand, and Grand-Est 9.3% in Nancy (P = .66). Forty-one percent (29/70, CI 95%: 30%-54%) of COVID (+) CPs never developed clinical symptoms and were thus considered asymptomatic. Predefined COVID-19 symptoms, observed in 282 CPs (32.1%), were more frequent in COVID (+) (41/70; 58.6%) than in COVID (−) (241/808; 29.8%) CPs (P < .001). Only 14.5% of symptomatic CPs (41/282) were COVID (+). Of the 878 CPs, 19 (2.2%) were hospitalized (1 in an intensive care unit) because of symptomatic COVID infection and 1 (0.1%) died. Of the COVID (+) patients, these figures were respectively 27% and 1.4%, and of the symptomatic COVID (+) CPs: 46.3% and 2.4%.

In the COVID (+) CPs (n = 70), we compared those totally asymptomatic (n = 29) with those who presented at least one symptom (n = 41; Table 2).

Table 2.

Comparison of symptomatic and asymptomatic patients among COVID (+) cancer patients.

Characteristics COVID + patients (n = 70)
Total, n = 70 Asymptomatic N = 29 (41.4%) Symptomatic N = 41 (58.6%) P value*
Sex .47
 Men 14 (100/20) 7 (50/24.1) 7 (50/17.1)
 Women 56 (100/80) 22 (39.3/75.9) 34 (60.7/82.9)
Age .37
 Median (range) 62 (27-84) 62 (34-83) 62 (27-84)
Obesity .86
 Obese 13 (100/22) 6 (46.2/23.1) 7 (53.8/21.2)
 Missing data 11 3 8 .31
Tobacco smoking status .28
 Non-smoker 28 (100/51.9) 11 (39.3/47.8) 17 (60.7/54.8) .61
 Former smoker 15 (100/27.8) 5 (33.3/21.7) 10 (66.7/32.3) .4
 Smoker 11 (100/20.4) 7 (63.6/30.4) 4 (36.4/12.9) .12
 Missing data 16 6 10 .72
Center .02
 Nantes 14 (100/20) 4 (28.6/13.8) 10 (71.4/24.4) .28
 Angers 20 (100/28.6) 7 (35/24.1) 13 (65/31.7) .49
 Clermont-Ferrand 10 (100/14.3) 1 (10/3.4) 9 (90/22) .06
 Nancy 26 (100/37.1) 17 (65.4/58.6) 9 (34.6/22) < .01
Cancer location .84
 Breast 36 (100/54.5) 16 (44.4/59.3) 20 (55.6/51.3) .52
 Uterine, endometrial, cervical 5 (100/7.6) 3 (60/11.1) 2 (40/5.1) .38
 Gastrointestinal 4 (100/5.7) 2 (50/6.9) 2 (50/4.9) .4
 Prostate 0 (—/0) 0 (—/0) 0 (—/0)
 Urological 6 (100/9.1) 2 (33.3/7.4) 4 (66.7/10.3) .69
 Lung 8 (100/12.1) 2 (25/7.4) 6 (75/15.4) .34
 Skin 2 (100/3) 1 (50/3.7) 1 (50/2.6) .79
 Miscellaneous 5 (100/7.6) 1 (20/3.7) 4 (80/10.3) .34
 Missing data 4 2 2 .72
Treatment status .38
 Undergoing treatment 63 (100/90) 25 (39.7/86.2) 38 (60.3/92.7)
 Being monitored 7 (100/10) 4 (57.1/13.8) 3 (42.9/7.3)
Cancer stage .51
 Localized 19 (100/31.7) 8 (42.1/33.3) 11 (57.9/30.6) .82
 Locally advanced 9 (100/15) 5 (55.6/20.8) 4 (44.4/11.1) .31
 Metastatic 32 (100/53.3) 11 (34.4/45.8) 21 (65.6/58.3) .34
 Missing data 10 5 5 .55
ECOG .26
 0 21 (100/38.2) 6 (28.6/26.1) 15 (71.4/46.9) .12
 1 31 (100/56.4) 16 (51.6/69.6) 15 (48.4/46.9) .1
 ⩾ 2 3 (100/5.5) 1 (33.3/4.3) 2 (66.7/6.3) .77
 Missing data 15 6 9 .9
Last treatment before inclusion
 Chemotherapy 37 (100/57.8) 16 (43.2/64) 21 (56.8/53.8) .42
 Immunotherapy 10 (100/15.6) 2 (20/8) 8 (80/20.5) .19
 Targeted therapy 16 (100/25) 4 (25/16) 12 (75/30.8) .19
 Hormone therapy 7 (100/10.9) 5 (71.4/20) 2 (28.6/5.1) .82
 Radiotherapy 2 (100/3.1) 0 (0/0) 2 (100/5.1) .39
 Surgery 4 (100/6.3) 2 (50/8) 2 (50/5.1) .65
 Missing data 6 4 2 .21

The proportion of asymptomatic men was slightly higher than women (50% vs 39%) though not significantly. Age, body mass index (BMI), and obesity rates were similar, as were comorbidities or co-medication rates. Amid the current smokers, about two-thirds were asymptomatic, but this was not significantly (P = .11) more frequent than in the former or never smoker populations. The influence of cancer location on symptomatology was difficult to assess (small numbers); 16/ 36 (44.4%) breast CPs were asymptomatic vs 2/8 (25%) lung CPs. While cancer stage had no influence on symptoms, asymptomatic CPs were non-significantly less frequent among ECOG PS 0 than PS 1 (6/21; 28.6% vs 16/31; 56.4%; P = .10). The last treatment had no major influence; treatments associated with the highest percentage of asymptomatic patients were hormone therapy (5/7; 71.4%) and systemic chemotherapy (16/37; 43.2%); by contrast, only 20% of those treated with immunotherapy and 25% receiving targeted therapies were asymptomatic. Surprisingly, the center of inclusion was clearly of importance. In Angers, Nantes, and Clermont-Ferrand, respectively, 35%, 28.6%, and 10% of COVID (+) CPs were asymptomatic, while in Nancy 65.4% (17/26) did not have any symptoms (Nancy vs other centers; P < .002). Of the infections occurring in CPs under the age of 60 years (n = 32), 37.5% (12/32, 95% CI: 21.1%-56.3%) were asymptomatic; of those over the age of 60 years (n = 38), this proportion was 44.7% (CI: 28.6%-61.7%), higher than the former but without statistical significance (P = .54).

Discussion

In the French CP population studied (n = 878), 70 (8%) were COVID (+); 29 (41.4%) were asymptomatic; inversely 29.8% of the COVID (−) CPs (241/808) presented at least one symptom. The mortality related from COVID was low (0.1%) in the cohort, but 1.4% of COVID (+) CPs and 2.4% of symptomatic COVID (+) CPs died. No clinical factor was significantly associated with an asymptomatic infection, but there was a slight trend in favor of smokers and PS 1 CPs. Surprisingly, CPs from Nancy were significantly less frequently symptomatic (34.6%) than those from other cancer centers (65%-71.4%-90%). The Nancy area was the most severely hit by the first wave, with a peak of hospitalized COVID-19 patients 4-times higher in Nancy than in Nantes during the first epidemic wave. Perhaps CPs from Nancy considered that COVID-related symptoms needed to be more severe and censored themselves? In a French analysis of beliefs and risk perceptions during the first lockdown, in the region with the highest incidence (which included the Nancy area), individuals estimated their personal risk of catching COVID-19 as very high and increasing despite the lockdown. 20

A recent meta-analysis of studies with long follow-up reported 35.1% (95% CI: 30.7%-39.9%) of asymptomatic CPs among laboratory confirmed COVID-19 cases, a figure which is in line with our findings of 41.4% (95% CI: 28.6%-61.7%). In this meta-analysis, only age was associated with the absence of symptoms, with a statistically significant trend toward a lower percentage of asymptomatic patients with increasing age (> 60 years: 19.7%; adults 19-59 years: 32.1% and children < 19 years: 46.7%). 21

In an overall estimate of the burden of COVID-19 infection in France, it was estimated mid-May 2020 that 5.3% of the population had been infected. 22 By January 15, 2021, near the end of our interim analysis, 14.9% of the French adult population had been infected, ranging from 26.5% in Paris to 5.1% in Brittany; for those aged 50 to 70 years (like our CP population), this proportion was around 5% in Pays de Loire, 11% in Auvergne-Rhône-Alpes, and 13% in Grand Est. 23 The proportions of infected CPs we observed in our overall population (8%) and by center (7% and 8.4% in Pays de Loire, 6.3% in Auvergne, and 9.3% in Lorraine?) were very similar. The seroprevalence observed in French CPs was thus similar to that obtained in the overall population and lower than reported in initial studies.24,25

Hospitalization and mortality rates due to COVID in our global cohort of CPs and among those who were COVID (+) were 2% to 0.1% and 27% to 1.4%, respectively; but, during this period, hospitalization was systematically proposed because of the fear of poor evolution. In the population of HCWs, 0.4% were hospitalized and none died. 15 In CPs, the “true” death rate was higher but we considered hospitalizations and deaths to be related to COVID if initial signs were not in relation to cancer or if there were treatment with demonstration of COVID infection (RT-PCR) within 28 days. In Dijon, of the 17 COVID (+) CPs, only 3 (0.3%) required hospitalization and none died. 14 In France, in May 2020, in the overall population, 2.9% of infected individuals were hospitalized and 0.5% of those infected died. 22 We confirm that the mortality rate among French CPs was higher than in the overall population.

In 2 other French studies, 1.4% to 4.8% of asymptomatic CPs were COVID (+). 14 Similar data were observed in Italy 12 and in New York (nasal swab; 3.75% positivity). 26 A systematic review of asymptomatic COVID-19 cases in the general population suggests that at least one-third of this population is asymptomatic; in longitudinal studies, three-fourth of asymptomatic people at the time of testing with a positive RT-PCR will remain asymptomatic. 27 In Iran, serologic evaluation before vaccination demonstrated that up to 20% of cancer patients had antibodies despite having no history of symptoms.28,29 In PAPESCO, the incidence of COVID (+) was very similar in both CPs (8%) and HCWs (9.5%), but surprisingly 41% of the COVID (+) CPs and only 9% of the COVID (+) HCWs were asymptomatic. 15 The same figures (47% and 25% asymptomatic in CPs and HCWs, respectively) were observed in Dijon’s study. 14 Half of French COVID (+) CPs thus remained asymptomatic.

One-third of CPs (282/878; 32.1%) developed COVID-19-like symptoms (CLSs), but most (241) were COVID (−). A large French survey analyzed the results of a self-administered questionnaire looking for incidence of CLS. The cumulative incidence of CLS was 7.2% and 10.1% on days 15 and 45 of the first lockdown. Incidence was lower in older age groups, and higher in participants from high-prevalence regions, large cities > 100 000 inhabitants, families with children, individuals who were overweight or obese or those with chronic diseases other than diabetes, cardiovascular diseases and cancer; individuals with “essential job positions,” including HCWs, were at high risk of developing CLS. 30

One can hypothesize that these asymptomatic COVID (+) CPs could contaminate family, other patients or HCWs, as well as symptomatic individuals. In asymptomatic individuals, viral clearance was achieved after a mean of 26 days (range 7-79 days), longer than in symptomatic cases.31,32 These asymptomatic individuals may be the source of transmission, as demonstrated in the Diamond Princess cruise ship outbreak. 33 The proportion of asymptomatic patients with a high viral load is similar to that of symptomatic individuals, 34 and it was evaluated that, in the general population, 59% of all transmissions came from asymptomatic individuals, including 24% from those who remained asymptomatic. 35

It has been demonstrated in HCWs that the presence of anti-spike or anti-nucleocapsid was associated with a reduced risk of reinfection in the ensuing 6 months. 36 In asymptomatic COVID (+) HCWs, all developed neutralizing antibodies lasting for at least 60 days. 37 In a longitudinal study in asymptomatic (n = 85) and symptomatic (n = 75) COVID-19 patients after seroconversion, the frequencies of SARS-CoV-2-specific T cells were similar between asymptomatic and symptomatic individuals; the former showed increased interferon-gamma (IFN-γ) and interleukin-2 (IL-2) production. This was associated with a proportional secretion of IL-10 and proinflammatory cytokines only in asymptomatic infections, while symptomatic individuals had disproportionate secretion of inflammatory cytokines. Asymptomatic COVID (+) individuals then mounted a highly functional virus-specific cellular immune response. 38 It is difficult to know whether these conclusions are also valid for CPs.

Our analysis of symptomatic and asymptomatic CPs in the PAPESCO-19 study has several strengths. This longitudinal study made long follow-up possible (at least 3 months) for all CPs; the diagnosis of COVID was based on “on demand” RT-PCR and on repeated serology. But antibody levels wane over time, and the average time from seroconversion to seroreversion is 3 to 4 months. 39 In our study, serology tests were repeated at a 3-month interval, so our estimated prevalence is only slightly underestimated. In this preliminary study, we used rapid lateral flow immunoassay tests (NG.TEST/SARS-CoV-2 IgG-IgM, NG Biotech Laboratoires, Guipry-Messac, France). This test has been approved by the French Ministry of Health (https://covid-19.sante.gouv.fr/tests). Performances asserted by the manufacturer were excellent, with sensitivity and specificity of. Respectively, 100% and 100% (if > 14 days after infection—NG.TEST/SARS-CoV-2 IgG-IgM). In academic studies, rapid lateral flow immunoassay tests were considered both reliable and accurate, particularly 15 or more days after the onset of symptoms.17,18 A recent review of rapid, point-of-care antigen and molecular tests for diagnosis of SARS-CoV-2 infection concluded that assays with acceptable sensitivity (> 80%) and specificity (> 97%) can replace laboratory-based RT-PCR. The NG.TEST/SARS-CoV-2 IgG-IgM was not evaluated, however. 40

Our study also has some weaknesses. First, regarding CLS, a recall bias is possible but the maximum delay between clinical signs and data collection was 9-10 months and during this period the disease and its symptoms were described daily in the media! Serology results were given to participants only after they filled in the symptom questionnaire, eliminating reassessment of symptoms. This symptom questionnaire was predefined and composed of clinical signs considered to be of major value when the trial was designed; and this is still the case. As most signs were particularly frequent in CPs undergoing treatment (dysgeusia, fever, diarrhea, cough, . . .), it is likely that some considered as symptomatic, in fact, described signs related to treatment toxicity. It is also likely that some patients did not report these signs because they were usual after treatment.

Conclusions

In conclusion, in a French population of CPs tested in 2020, seroprevalence of COVID infection over a long period was 8%, similar to that observed in the general population. More than 40% of COVID (+) CPs remained asymptomatic, and almost 30% of COVID (−) CPs had symptoms. No factor was statistically associated with the fact of being asymptomatic. Hospitalization and mortality rates were, in the whole group and in COVID (+) CPs, 2% to 0.1% and 27% to 1.4%, respectively, higher than that observed in the general population. It seems that even asymptomatic CPs can contaminate family, HCWs, or other CPs, suggesting that social distancing and protective measures must be applied at home and when hospitalized.

Acknowledgments

We would like to thank all staff from the study investigating centers and especially Valerie Pacteau, Marine Tigreat, and Dahlia Bateta for their support in setting up the study, as well as the data collection and management.

Footnotes

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The Greater Nantes authority partially financed the study (10% of total budget). However, PAPESCO-19 is an independent study and the ideas and opinions expressed in this work are those of the authors.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Author Contributions: KZ, J-LR, and MMB contributed to the conceptualization; KZ, MMB, AB-L, and VS contributed to the methodology; formal analysis was done by KZ.; investigation was done by J-LR, MB-C, MB, HM, AL, CM-B, and FB; writing—original draft preparation was done by J-LR, KZ, and MMB; writing—review and editing was done by all authors; funding acquisition was done by MC, TC, and FP-L. All authors have read and agreed to the published version of the article.

Informed Consent: Informed consent was obtained from all subjects involved in the study.

Institutional Review Board Statement: The study was conducted according to the guidelines of the Declaration of Helsinki. The Ethics Committee of Boulogne-Billancourt (Ref: CPP-IDF VIII) approved our study (number 20.04.15) on May 15, 2020.

References

  • 1. World Health Organization. WHO coronavirus (COVID-19) dashboard. https://covid19.who.int
  • 2. Lee LYW, Cazier JB, Starkey T, et al. COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study. Lancet Oncol. 2020;21:1309-1316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Shahidsales S, Aledavood SA, Joudi M, Molaie F, Esmaily H, Javadinia SA. COVID-19 in cancer patients may be presented by atypical symptoms and higher mortality rate, a case-controlled study from Iran. Cancer Rep (Hoboken). 2021;4:e1378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Dai M, Liu D, Liu M, et al. Patients with cancer appear more vulnerable to SARS-CoV-2: a multicenter study during the COVID-19 outbreak. Cancer Discov. 2020;10:783-791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Mehta V, Goel S, Kabarriti R, et al. Case fatality rate of cancer patients with COVID-19 in a New York Hospital System. Cancer Discov. 2020;10:935-941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Miyashita H, Mikami T, Chopra N, et al. Do patients with cancer have a poorer prognosis of COVID-19? An experience in New York City. Ann Oncol. 2020;31:1088-1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Garassino MC, Whisenant JG, Huang LC, et al. COVID-19 in patients with thoracic malignancies (TERAVOLT): first results of an international, registry-based, cohort study. Lancet Oncol. 2020;21:914-922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Yin P, Zeng R, Duan YR, et al. An analysis of cancer patients with asymptomatic infection of SARS-CoV-2 in a cancer center in Wuhan, China. Ann Oncol. 2020;31:1420-1422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Lièvre A, Turpin A, Ray-Coquard I, et al. Risk factors for coronavirus disease 2019 (COVID-19) severity and mortality among solid cancer patients and impact of the disease on anticancer treatment: a French nationwide cohort study (GCO-002 CACOVID-19). Eur J Cancer. 2020;141:62-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Berghoff AS, Gansterer M, Bathke AC, et al. SARS-CoV-2 testing in patients with cancer treated at a tertiary care hospital during the COVID-19 pandemic. J Clin Oncol. 2020;38:3547-3554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Moss C, Dolly S, Russell B, et al. One piece of the jigsaw for the cancer recovery strategy: prevalence of COVID-19 in patients with cancer. Cancer Control. 2020;27:1073274820950844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Cavanna L, Citterio C, Di Nunzio C, et al. Prevalence of COVID-19 infection in asymptomatic cancer patients in a district with high prevalence of SARS-CoV-2 in Italy. Cureus. 2021;13:e13774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Doust JA, Bell KJL, Leeflang MMG, et al. Guidance for the design and reporting of studies evaluating the clinical performance of tests for present or past SARS-CoV-2 infection. BMJ. 2021;372:n568. [DOI] [PubMed] [Google Scholar]
  • 14. Ladoire S, Goussot V, Redersdorff E, et al. Seroprevalence of SARS-CoV-2 among the staff and patients of a French cancer centre after first lockdown: the canSEROcov study. Eur J Cancer. 2021;148:359-370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Zhou K, Blanc-Lapierre A, Seegers V, et al. Anosmia but not ageusia as a COVID-19-related symptom among cancer patients. First results from the PAPESCO-19 cohort study. Cancers. 2021;13:3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Hanson KE, Caliendo AM, Arias CA, et al. Infectious Diseases Society of America Guidelines on the diagnosis of COVID-19 [published online ahead of print June 16, 2020]. Clin Infect Dis. doi: 10.1093/cid/ciaa760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Nicol T, Lefeuvre C, Serri O, et al. Assessment of SARS-CoV-2 serological tests for the diagnosis of COVID-19 through the evaluation of three immunoassays: two automated immunoassays (Euroimmun and Abbott) and one rapid lateral flow immunoassay (NG Biotech). J Clin Virol. 2020;129:104511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Sweeney N, Merrick B, Pedro Galão R, et al. Clinical utility of targeted SARS-CoV-2 serology testing to aid the diagnosis and management of suspected missed, late or post-COVID-19 infection syndromes: results from a pilot service implemented during the first pandemic wave. PLoS ONE. 2021;16:e0249791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Favara DM, McAdam K, Cooke A, et al. SARS-CoV-2 infection and antibody seroprevalence among UK healthcare professionals working with cancer patients during the first wave of the COVID-19 pandemic. Clin Oncol (R Coll Radiol). 2021;33:667-675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Attema AE, L’Haridon O, Raude J, Seror V, COCONEL Group. Beliefs and risk perceptions about COVID-19: evidence from two successive French representative surveys during lockdown. Front Psychol. 2021;12:619145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Sah P, Fitzpatrick MC, Zimmer CF, et al. Asymptomatic SARS-CoV-2 infection: a systematic review and meta-analysis. Proc Natl Acad Sci USA. 2021;118:e2109229118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Salje H, Tran Kiem C, Lefrancq N, et al. Estimating the burden of SARS-CoV-2 in France. Science. 2020;369:208-211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Hozé N, Paireau J, Lapidus N, et al. Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study. Lancet Public Health. 2021;6:e408-e415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Kuderer NM, Choueiri TK, Shah DP, et al. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. Lancet. 2020;395:1907-1918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Assaad S, Avrillon V, Fournier ML, et al. High mortality rate in cancer patients with symptoms of COVID-19 with or without detectable SARS-COV-2 on RT-PCR. Eur J Cancer. 2020;135:251-259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Ibrahim M, Natarajan V, Murthy P, Meghal T, Xu Y, Wiesel O. The prevalence of asymptomatic COVID-19 infection in cancer patients. A cross-sectional study at a tertiary cancer center in New York City. Cancer Treat Res Commun. 2021;27:100346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Oran DP, Topol EJ. The proportion of SARS-CoV-2 infections that are asymptomatic: a systematic review. Ann Intern Med. 2021;174:655-662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Ariamanesh M, Porouhan P, PeyroShabany B, et al. Immunogenicity and safety of the inactivated SARS-CoV-2 vaccine (BBIBP-CorV) in patients with malignancy. Cancer Invest. 2022;40:26-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Javadinia SA, Ariamanesh M, Nabavifard M, et al. Multicenter study of antibody seroprevalence against COVID-19 in patients presenting to Iranian cancer centers after one year of the COVID-19 pandemic. Cancer Invest. 2022;40:115-123. [DOI] [PubMed] [Google Scholar]
  • 30. Carrat F, Touvier M, Severi G, et al. Incidence and risk factors of COVID-19-like symptoms in the French general population during the lockdown period: a multi-cohort study. BMC Infect Dis. 2021;21:169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Shu HM, He S, Sun Y, et al. Factors influencing viral clearance in mild COVID-19 and clinical characteristics of asymptomatic patients. Biomed Res Int. 2021;2021:5909612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Long QX, Tang XJ, Shi QL, et al. Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nat Med. 2020;26:1200-1204. [DOI] [PubMed] [Google Scholar]
  • 33. Emery JC, Russell TW, Liu Y, et al. The contribution of asymptomatic SARS-CoV-2 infections to transmission on the Diamond Princess cruise ship. eLife. 2020;9:e58699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Lefever S, Indevuyst C, Cuypers L, et al. Comparison of the quantitative DiaSorin Liaison antigen test to RT-PCR for the diagnosis of COVID-19 in symptomatic and asymptomatic outpatients. J Clin Microbiol. 2021;59:e0037421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Johansson MA, Quandelacy TM, Kada S, et al. SARS-CoV-2 transmission from people without COVID-19 symptoms. JAMA Netw Open. 2021;4:e2035057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Lumley SF, O’Donnell D, Stoesser NE, et al. Antibody status and incidence of SARS-CoV-2 infection in health care workers. N Engl J Med. 2021;384:533-540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Haymond A, Damluji AA, Narayanan A, et al. Durability of viral neutralization in asymptomatic COVID-19 for at least 60 days. J Infect Dis. 2021;223:1677-1680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Le Bert N, Clapham HE, Tan AT, et al. Highly functional virus-specific cellular immune response in asymptomatic SARS-CoV-2 infection. J Exp Med. 2021;218:e20202617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Shioda K, Lau MS, Kraay AN, et al. Estimating the cumulative incidence of SARS-CoV-2 infection and the infection fatality ratio in light of waning antibodies. Epidemiology. 2021;32:518-524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Dinnes J, Deeks JJ, Berhane S, et al. Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection. Cochrane Database Syst Rev. 2021;3:CD013705. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Clinical Medicine Insights. Oncology are provided here courtesy of SAGE Publications

RESOURCES