Literature DB >> 33809772

Multicenter Study of the Seroprevalence of Antibodies against Covid-19 in Patients with Lymphoma: An Analysis of the Oncological Group for the Treatment and Study of Lymphomas (Gotel).

Fernando Franco1, María Guirado2, Natividad Martínez-Banaclocha3, Josep Gumà4, Javier Lavernia5, José Gómez-Codina6, Delvys Rodriguez-Abreu7, Fani Martínez4, Enrique Barrajón2, Miriam Méndez1, Virginia Calvo1, Mariano Provencio1.   

Abstract

The new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) coronavirus has generated a pandemic, in which there are population groups at higher risk and who are potentially fatal victims of the disease. Cancer patients have been considered a group with special susceptibility, particularly patients with lung tumour involvement and haematological neoplasms. The Spanish Lymphoma Oncology Group (GOTEL) carried out a multicenter study of SARS-CoV-2 seroprevalence in patients with lymphoma.
Results: A total of 150 patients were included between 22 May and 11 June 2020. The mean age was 65 years (range 17-89), 70 women (46.5%) and 80 men (53, 5%). At the time of diagnosis of lymphoma, 13 cases were stage I (9%), 27 (18%) stage II, 37 (24.5%) stage III, and 73 (48.5%) stage IV, while 6.6% had a primary extranodal origin. A total of 10 cases with positive serology for SARS-CoV-2 were identified, which is a prevalence of 6% in this population. None of the patients required intensive care unit management and all fully recovered from the infection.
Conclusion: IgG antibody seroprevalence in lymphoma patients appears similar to that of the general population and does not show greater aggressiveness.

Entities:  

Keywords:  Covid-19; infection of SARS-CoV-2; lymphoma

Year:  2021        PMID: 33809772      PMCID: PMC8025807          DOI: 10.3390/curroncol28020118

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


1. Introduction

In late 2019, an outbreak of a new form of pneumonia was described in a group of patients in Wuhan, China [1,2]. The cause of this new entity (COVID-19) is a β-coronavirus that has been called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [3]. The contagion potential of the virus is such that its spread throughout the world has been rapid and has infected more than 111 million people, thus constituting the most recent pandemic declared by the World Health Organization (WHO) [4]. Although more than 80% of the cases present few or no disease symptoms [5,6,7], about 15% of the patients have a serious disease that requires hospitalization with medical support and oxygen therapy. Only 5% of patients, affected by the disease, require intensive care management given the extreme severity of the disease, determined by severe respiratory failure, septic shock, and multi-organ failure [8]. The mortality rate from covid-19 varies significantly between the different age ranges and comorbidities of the patients, ranging from 0.031% in young people to more than 7% in those over 75 years of age [9]. The high rate of spread of the disease and the speed at which it occurred created chaos in health systems around the world due to the lack of capacity of countries to combat the health crisis. After the cases reported in China, the second main focus of the pandemic was in Europe, initially hitting severely countries, such as Italy and Spain. In Spain, more than 3.1 million people were confirmed, with more than 67,000 of them dying [10]. So far, the only measures that have proven to be effective in preventing and controlling community transmission are the active search for cases and their containment, social distancing, and the identification of populations at risk. Cancer patients have been considered to represent a group of special susceptibility, not only due to the type of malignant disease but also due to the possible treatments used in the control of malignant neoplasms [11]. It is probable that the immunosuppression, generated by the disease or by cancer treatments, may condition a greater risk and susceptibility of patients to serious complications [12]. It is also important to note that a large number of cancer patients have advanced age and comorbidities that can contribute decisively to the evolution of COVID-19 in this population [13]. Additionally, other factors that may influence are interruptions or limitations in access to treatments derived from quarantine measures and difficulties in routine medical care due to the pandemic and to the problems in the access to diagnostic tests [14]. The analysis of population-based studies of collaborative groups and national registries of cancer patients has been able to determine patients with a higher risk of developing serious SARS-CoV-2 infections. Among them, we can highlight patients with pulmonary neoplasms or patients with high-grade haematological neoplasms (acute leukaemia and high-grade lymphomas) [11,15]. Bearing in mind that lymphomas are a wide variety of neoplasms with potentially curative treatments regardless of the stage at diagnosis, we have considered it important to carry out a study of SARS-CoV-2 seroprevalence in our population to determine the incidence in our environment.

2. Material and Methods

This is a multicentre and prospective study of SARS-CoV-2 seroprevalence –LINFO-COVID, carried out in medical centres attached to the Oncological Group for the Treatment and Study of Lymphomas (GOTEL) in Spain. The study protocol was evaluated and approved by the Ethics Committee at the Puerta de Hierro University Hospital in Majadahonda. The total expected sample was 150 patients diagnosed with lymphomas and followed up in the services of medical oncology, on whom a serology test was randomly performed to determine the presence of antibodies against the SARS-CoV-2 virus (IgG) through an Enzyme-Linked ImmunoSorbent Assay (ELISA) technique in peripheral blood. The variables analysed included demographic and clinical data (age, sex, histological type, stage, treatments, and current situation of the disease), showing if they had developed symptoms suggesting a SARS-CoV-2 infection and the type of treatment if they had been treated for the infection. All the patients were previously informed of the study and signed the informed consent to obtain the sample and the analysis of the clinical data for the presentation of the cases in the field of scientific discussions, respecting the data protection laws and regulations in force according to the Organic Law 15/1999 of the Protection of Personal Data. All analyses were performed with Stata v14.1 (Stata-Corp, 2015, College Station, TX, USA). The objective of the study was to evaluate the incidence of IgG antibodies to SARS-CoV-2 in patients diagnosed with lymphoma in medical oncology services and to describe the clinical characteristics of the positive patients.

3. Results

The multicentre study, directed by the GOTEL group, included a total of 150 patients between 22 May and 11 June 2020. A total of seven hospitals assigned to the GOTEL group participated. The mean age at the time of taking the serology sample was 65 years (range 17–89 years), 70 patients were women (46.5%) and 80 men (53.5%). At the time of diagnosis of lymphoma, 13 cases were stage I (9%), 27 (18%) stage II, 37 (24.5%) stage III, and 73 (48.5%) stage IV, while 6.6% were of primary extranodal origin. The histological subtypes are described in the Table 1 and the active treatments (57 cases, 38%) at the time of the study are described in Table 2. A total of 10 cases with positive serology for SARS-CoV-2 were identified, which is a prevalence of 6% in this population. The distribution of cases studied by autonomous communities was as follows: Madrid, 43 cases (28.5%), of which 5 were IgG +; Catalonia 35 (23.5%) with 3 IgG + cases; Valencia, 64 (42.5%), with 2 positive cases; and the Canary Islands, 8 (5.5%), all of them with negative serology. The mean age in the positive patients group (10 cases) was 59 years (range 40–82 years), 60% men and all never smokers or ex-smokers (>1 year). Four cases corresponded to diffuse large B cell lymphoma (DLBCL), four follicular lymphomas (FL), one mucosa-associated lymphoid tissue (MALT), and one cutaneous T lymphoma. Two of them were on active treatment, one of them with chemotherapy (CHOP-R scheme) and one more with idelalisib. Only one patient required hospitalization and was managed with supportive treatment and intravenous corticosteroids; he did not require any invasive respiratory therapy or additional drugs. None of the patients required intensive care unit (ICU) management and all fully recovered from the infection; the clinical characteristics of these patients are described in Table 3.
Table 1

Total cases according to the histological type and distribution of positive cases of IgG.

Type of NeoplasticIgG +
Erdheim–Chester disease10
Angioimmunoblastic T cell lymphoma10
Splenic marginal zone lymphoma10
MALT lymphoma21
Primary cutaneous T cell lymphoma61
Chronic lymphocytic leukaemia60
Mantle cell lymphoma70
Hodgkin lymphoma270
Follicular lymphoma424
Diffuse large B cell lymphoma574
Total15010

MALT: extranodal marginal zone lymphoma.

Table 2

Distribution of treatments received by the patients.

SchemeNº (%)SchemeNº (%)
CHOP-R12 (31.5%)ICE-Bendamustine1 (2.6%)
Rituximab10 (26%)Liposomal doxorubicin1 (2.6%)
Ibrutinib8 (21%)GEMOX1 (2.6%)
ABVD5 (13%)CHOEP1 (2.6%)
R-Bendamustine5 (13%)Obinutuzumab1 (2.6%)
Nivolumab2 (5.2%)Venetoclax1 (2.6%)
Obinutuzumab/Zanabrutinib2 (5.2%)CVP-R1 (2.6%)
GEMOX-R2 (5.2%)Vemurafenib1 (2.6%)
Ibrutumomab1 (2.6%)Radiotherapy1 (2.6%)
ESHAP-R1 (2.6%)Total57 (100%)

CHOP: Cyclophosphamide-Hydroxyldaunorubicin-Vincristine-Prednisone; R: Rituxumab; GEMOX: Gemcitabine-Oxaliplatin; ESHAP: Etoposide-Methylpredniolone-Cytarabine-Cisplatin; ICE: Ifosfamide-Etoposide-Carboplatin; CHOEP: Cyclophosphamide-Doxorubicin-Vincristine-Etoposide-Prednisone; CVP: Cyclophosphamide-Vincristine-Prednisone.

Table 3

Clinical characteristics of patients with positive serology (IgG) of SARS-CoV-2.

CaseAgeGenderHistologyStageExtranodalOrigenECOGComorbiditiesActive TreatmentSchemeCovid DiagnosisPrevious Antineoplasic TreatmentTreatment of CovidLymphoma Response
Patient 159FemaleDLBCLIIEGastric0NoNoNASerologyCHOP-RNoCR
Patient 260MaleDLBCLIIISNo0NoNoNAPCRCHOP-RHospitalized * CR
Patient 373FemaleFLIVNo0COPDNoNASerologyCVP-RNoCR
Patient 441MaleFLIVNo0NoNoNAPCRR-monotherapyAmbulatoryCR
Patient 565FemaleFLIVNo0COPDNoNASerologyR-monotherapyNoCR
Patient 650MaleC-TLIENo0NoNoNASerologyRTNoCR
Patient 782FemaleMALTIIEGastric0NoNoNASerologyAntibioticsNoCR
Patient 864MaleFLIVNo1NoYesIdelalisibSerologyCHOP-RNoPR
Patient 958MaleDLBCLIINo0DiabetesYesCHOP-RSerologyNANoCR
Patient 1069MaleDLBCLINo0NoNoNASerologyCHOP-RNoCR

DLBCL: Diffuse large B cell lymphoma; FL: Follicular lymphoma; C-TL: Cutaneous T lymphoma; COPD: Chronic obstructive pulmonary disease; CHOP: Cyclophosphamide-Hydroxyldaunorubicin-Vincristine-Prednisone; PCR: protein chain reaction; CR: Complete response; PR: Partial response. *The hospitalized patient did not require intensive therapy.

4. Discussion

Lymphomas represent a wide spectrum of malignant neoplasms that can range from indolent forms to very aggressive forms, requiring intensive treatment in a short time [16]. The approach to these patients requires adequate study and management, including combined treatments that in many cases result in the cure of the disease but that also favour immunosuppression and may worsen the prognosis of SARS-CoV-2 infection. The COVID-19 pandemic has represented a major health problem for the general population and especially for some specific groups, such as elderly patients and patients with comorbidities, among which we highlight cancer [11,12,14,15]. Several studies have shown a negative impact of the pandemic in relation to the care of cancer patients. One of them assessed the impact of this pandemic on oncological care in the Netherlands, with more than 5300 patients. The most frequent changes included the adjustments of treatments (chemotherapy and immunotherapy) in 30% of the cases and the delay and discontinuation of treatment in 55% and 63% of the patients, respectively [17]. Since the beginning of the pandemic, attempts have been made to define risk groups and evaluate the different forms of presentation of the disease. The most frequently described symptoms are associated with respiratory infection, such as cough, fever, and dyspnoea. Other types of symptoms have been described to affect different organs, such as skin, sense organs (anosmia and dysgeusia), and even neurological ones [18]. In various series published, in patients with cancer and lymphomas, these symptoms are similar to those in the general population, although the severity may vary depending on the status and the type of the oncological disease and the treatments received [12,15]. Fatal events, associated with COVID-19 and risk factors, were analysed in a series of more than 1000 cancer patients in the UK, identifying populations more susceptible to developing severe disease. In this study, increasing age represents an independent factor for poor prognosis, as do haematological neoplasms (leukaemias, lymphomas, and myelomas) versus solid tumours [11]. Especially, those patients with high-grade leukaemia, whose natural evolution is rapid [19], and patients with bone marrow transplantation are the most vulnerable. An Italian study with more than 500 patients infected with SARS-CoV-2 and with haematological neoplasms showed that 18% of the patients required ICU management. Fifty percent of the patients had a mild disease, 36% severe, and 14% critical. In univariate analysis, it was demonstrated that patients with severe or critical illness were older (p = 0.32), with a mean age of 68 years, with a higher Charlson comorbidity index (mean 5 vs. 4; p = 0.011) and a more recent diagnosis of haematologic disease [15]. The mortality rate in this series reached 37%. A retrospective and multicentre French study analysed a group of 89 patients infected with SARS-CoV-2 who had a recent or past diagnosis of lymphoma. The median age was 67 years (range, 19–92), 66% were men, and 72% had comorbidity. Eighty-six percent of the cases corresponded to non-Hodgkin B cell lymphomas. The patients were followed up for a median of 33 days, with a survival rate of 71% (95% CI, 62-81%). This study identified a higher risk of mortality in patients >70 years old (Hazard Ratio –HR- 2.87, p = 0.02) and a relapsed/refractory lymphoma (HR 2.54, p = 0.02). The 30-day overall survival was 88% (78–99%) for patients <70 years of age, without relapses/refractory lymphoma [20]. Although the data can be alarming, it is also important to carry out an adequate diagnosis and treatment of new haematological patients, since many of the treatments will have curative intent. For this, several scientific societies have developed guidelines for the management of patients with haematological malignancies to optimize treatment and minimize the risk of infection by SARS-CoV-2 [14,21,22,23]. Some of the most notable things are the efforts to avoid diagnostic and treatment delays, educate the patient on possible signs and symptoms of COVID-19, and perform diagnostic tests for the disease, according to local protocols. A retrospective single-centre study of 18 patients, diagnosed with high-grade lymphomas during the pandemic, has shown that the use of standard treatment regimens is optimal and probably should not be modified due to a potential increased risk. This action makes it possible to give priority to the intensive management of patients to achieve their cure. Only one patient was infected with SARS-CoV-2 coinciding with an episode of febrile neutropenia [23]. Despite these efforts, no population studies have been conducted to determine the seroprevalence of SARS-CoV-2 and that is why our study is of significant relevance. In the 150 cases of patients with lymphomas analysed with a mean age at the time of taking the serology sample of 65 years old (range 17–89 years), we were able to determine a prevalence of IgG antibodies against SARS-CoV-2 of 6% in this population. In contrast to the national study of the seroprevalence of COVID-19 in Spain (ENE-COVID), which is 5% nationwide, we can say that despite the fact that the sample of patients with lymphomas is limited, the prevalence is similar to the general population [24]. The data from the ENE-COVID study were able to reliably determine the prevalence of COVID-19 both in the general population and in autonomous communities; however, the limitation of the number of cases per regions in our study does not allow us to make this estimation. The clinical characteristics of the patients in our series show that 80% of the cases had an asymptomatic or oligo-symptomatic course of the disease, with only one case of moderate severity that did not require treatment in the ICU. In conclusion, the LYMPHO-COVID study is the first study of the seroprevalence of IgG antibodies in patients with lymphomas carried out in Spain, demonstrating a prevalence similar to the one of the general population. The data of infected patients does not appear to show greater aggressiveness of the infection or a worse clinical evolution than the general population, although there are few cases. To confirm our data, it is essential to carry out a study with a larger sample of patients.
  21 in total

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Authors:  Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

Review 2.  The 2016 revision of the World Health Organization classification of lymphoid neoplasms.

Authors:  Steven H Swerdlow; Elias Campo; Stefano A Pileri; Nancy Lee Harris; Harald Stein; Reiner Siebert; Ranjana Advani; Michele Ghielmini; Gilles A Salles; Andrew D Zelenetz; Elaine S Jaffe
Journal:  Blood       Date:  2016-03-15       Impact factor: 22.113

Review 3.  Prevalence of Asymptomatic SARS-CoV-2 Infection : A Narrative Review.

Authors:  Daniel P Oran; Eric J Topol
Journal:  Ann Intern Med       Date:  2020-06-03       Impact factor: 25.391

Review 4.  COVID-19 and Cancer: a Comprehensive Review.

Authors:  Rohit Gosain; Yara Abdou; Abhay Singh; Navpreet Rana; Igor Puzanov; Marc S Ernstoff
Journal:  Curr Oncol Rep       Date:  2020-05-08       Impact factor: 5.075

5.  Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Authors:  Nicole M Kuderer; Toni K Choueiri; Dimpy P Shah; Yu Shyr; Samuel M Rubinstein; Donna R Rivera; Sanjay Shete; Chih-Yuan Hsu; Aakash Desai; Gilberto de Lima Lopes; Petros Grivas; Corrie A Painter; Solange Peters; Michael A Thompson; Ziad Bakouny; Gerald Batist; Tanios Bekaii-Saab; Mehmet A Bilen; Nathaniel Bouganim; Mateo Bover Larroya; Daniel Castellano; Salvatore A Del Prete; Deborah B Doroshow; Pamela C Egan; Arielle Elkrief; Dimitrios Farmakiotis; Daniel Flora; Matthew D Galsky; Michael J Glover; Elizabeth A Griffiths; Anthony P Gulati; Shilpa Gupta; Navid Hafez; Thorvardur R Halfdanarson; Jessica E Hawley; Emily Hsu; Anup Kasi; Ali R Khaki; Christopher A Lemmon; Colleen Lewis; Barbara Logan; Tyler Masters; Rana R McKay; Ruben A Mesa; Alicia K Morgans; Mary F Mulcahy; Orestis A Panagiotou; Prakash Peddi; Nathan A Pennell; Kerry Reynolds; Lane R Rosen; Rachel Rosovsky; Mary Salazar; Andrew Schmidt; Sumit A Shah; Justin A Shaya; John Steinharter; Keith E Stockerl-Goldstein; Suki Subbiah; Donald C Vinh; Firas H Wehbe; Lisa B Weissmann; Julie Tsu-Yu Wu; Elizabeth Wulff-Burchfield; Zhuoer Xie; Albert Yeh; Peter P Yu; Alice Y Zhou; Leyre Zubiri; Sanjay Mishra; Gary H Lyman; Brian I Rini; Jeremy L Warner
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

Review 6.  The molecular virology of coronaviruses.

Authors:  Ella Hartenian; Divya Nandakumar; Azra Lari; Michael Ly; Jessica M Tucker; Britt A Glaunsinger
Journal:  J Biol Chem       Date:  2020-07-13       Impact factor: 5.157

7.  Impact of the coronavirus disease 2019 pandemic on cancer treatment: the patients' perspective.

Authors:  K de Joode; D W Dumoulin; V Engelen; H J Bloemendal; M Verheij; H W M van Laarhoven; I H Dingemans; A C Dingemans; A A M van der Veldt
Journal:  Eur J Cancer       Date:  2020-07-04       Impact factor: 9.162

8.  Managing haematology and oncology patients during the COVID-19 pandemic: interim consensus guidance.

Authors:  Robert Weinkove; Zoe K McQuilten; Jonathan Adler; Meera R Agar; Emily Blyth; Allen C Cheng; Rachel Conyers; Gabrielle M Haeusler; Claire Hardie; Christopher Jackson; Steven W Lane; Tom Middlemiss; Peter Mollee; Stephen P Mulligan; David Ritchie; Myra Ruka; Benjamin Solomon; Jeffrey Szer; Karin A Thursky; Erica M Wood; Leon J Worth; Michelle K Yong; Monica A Slavin; Benjamin W Teh
Journal:  Med J Aust       Date:  2020-05-13       Impact factor: 7.738

9.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

10.  COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study.

Authors:  Lennard Y W Lee; Jean-Baptiste Cazier; Thomas Starkey; Sarah E W Briggs; Roland Arnold; Vartika Bisht; Stephen Booth; Naomi A Campton; Vinton W T Cheng; Graham Collins; Helen M Curley; Philip Earwaker; Matthew W Fittall; Spyridon Gennatas; Anshita Goel; Simon Hartley; Daniel J Hughes; David Kerr; Alvin J X Lee; Rebecca J Lee; Siow Ming Lee; Hayley Mckenzie; Chris P Middleton; Nirupa Murugaesu; Tom Newsom-Davis; Anna C Olsson-Brown; Claire Palles; Thomas Powles; Emily A Protheroe; Karin Purshouse; Archana Sharma-Oates; Shivan Sivakumar; Ashley J Smith; Oliver Topping; Chris D Turnbull; Csilla Várnai; Adam D M Briggs; Gary Middleton; Rachel Kerr
Journal:  Lancet Oncol       Date:  2020-08-24       Impact factor: 41.316

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