SARS-CoV-2 and its underlying disease, COVID-19, has spread around the world, so far causing over 11 million infections and 528,000 deathsCoronaviruses are a subgroup in a spectrum of viruses that are phenotypically and genotypically diverse and have provoked recent epidemics1,2. Coronaviruses are enveloped viruses containing single-stranded positive-sense RNA with a viral genome of about 27-32 kb, which encodes for structural and non-structural proteins3,4,5. The novel SARS-CoV-2 consists of four structural proteins, namely: the spike protein (S), the envelope protein (E), the membrane glycoprotein (M) and the nucleocapsid protein (N)6,3. The majority of produced antibodies are formed against the nucleocapsid, which are therefore considered to be highly sensitive for antibody testing, even though it has to be noted that there is a sequence of homologies which could lower the sensitivity3,7. So far, 10 million cases have been registered with positive RT-qPCR result whereas antibody testing has just recently become a factor. Patients suffering from chronic diseases are generally thought to be at higher risk of developing a severe course of COVID-19, which could lead to intensive care treatment8. In contrast, a recent study has shown that most of the random cancer patients who were tested positively for SARS-CoV-2 in RT-qPCR remained asymptomatic with mild clinical cases (submitted manuscript). Nevertheless, measures are made to counter and minimize the risk of SARS-CoV-2 infection and severe complications. Due to this reason, adjuvant chemotherapies, surgeries and other compromising therapies were eventually postponed or changed9. As the symptoms and course of COVID-19 vary broadly, tests by nasopharyngeal or throat swabs were recently also taken from asymptomatic patients to identify virus carriers. It is estimated that over 50% of the cases are asymptomatic10, and there is also a risk of false negative results because of poor swab techniques or a sparse amount of virus-RNA. However, an antibody test with high sensitivity and specificity could provide epidemiological information on the actual rate of infection. So far, there is not much known about the course of COVID-19 in these patients and it is unclear whether they produce a sufficient quantity of antibodies that sustains immunity. Until now, it has been assumed that antibodies are formed after the viral infection, as it is the case with other coronaviruses, namely MERS-CoV and SARS-CoV11,12,13,14. Numerous studies also describe antibody production after infection with SARS-CoV-215,16,. Long et al. were able to detect positive rates of IgG and IgM at a median of 13 days after the onset of symptoms. IgG was detected at a constant level in 100% of the 19 tested patients within 6 days16. The authors recommended a simultaneous detection of IgG and IgM at an early stage of infection16. Zhao et al. analyzed the samples of 173 patients, detecting the presence of antibodies <40% among patients within 1-week after onset, and showed a rapid increase of up to 94.3% for IgM, and 79.8% for IgG from day-15 after onset17. Xiang et. al described antibody development even earlier, on the 4th day after symptom onset, which showed that antibodies against SARS-CoV-2 can be detected in the middle and later stages of infection18. Until recently, there was a lack of a widespread availability of valid test kits making antibody testing in routine clinical care challenging. In May 2020, an Elecsys antibody-test was released by Roche Diagnostics to detect anti-SARS-CoV-2 immunoglobulins, with the ability to bind the viral nucleocapsid antigen19. The sensitivity of the test depends on the time of infection. According to the manufacturer, the sensitivity 14 days after a positive SARS-CoV-2 test is up to100% and the specificity 99.91%, respectively19. Currently there are no studies available to confirm these numbers. Moreover, studies describing antibody production in oncologic patients after SARS-CoV-2 infection are lacking. The aim of our study was to observe the course of antibody development and analyze the seroprevalence of antibodies against SARS-CoV-2 in oncologic patients with a history of COVID-19.