Skip to main content

Cancer patient management strategy in a Cancer Center of Zhejiang, China during the COVID-19 pandemic

Abstract

Background

Due to the increased risk of viral infection and the severe shortage of medical resources during the pandemic of COVID-19, most hospitals in the epidemic areas significantly reduced non-emergency admissions and services, if not closed. As a result, it has been difficult to treat cancer patients on time, which adversely affects their prognosis. To address this problem, cancer centers must develop a strategic plan to manage both inpatients and outpatients during the pandemic, provide them with the necessary treatment, and at the same time prevent the spread of the virus among patients, visitors and medical staff.

Methods

Based upon the epidemic situation in Zhejiang Province, China, the number of running non-emergency medical wards in the Zhejiang Cancer Hospital was gradually increased in a controlled manner. All staff of the hospital received COVID-19 preventive training and was provided with three different levels of protection according to the risks of their services. Only patients without a known history of SARS-CoV-2 contact were eligible to schedule an appointment. Body temperature was measured on all patients upon their arrival at the hospital. Chest CT image, blood cell counting and travel/contact history were investigated in patients with fever. Respiratory tract samples, such as sputum and throat swabs, from all patients, including those clinically suspected of SARS-CoV-2 infection, were collected for nucleic acid detection of SARS-CoV-2 before treatment.

Results

A total of 3697 inpatients and 416 outpatients seeking cancer treatment were enrolled from February 1 to April 3, 2020, in compliance with the hospital’s infection-control interventions. The clinicopathological parameters of the patients were summarized herein. 4237 samples from 4101 patients produced negative RNA testing results. Four clinically suspected patients all presented negative RNA test results and were excluded from the SARS-CoV-2 infection through follow-up retesting and monitoring. Seven patients with only N-gene positive results were retested, followed by CT scan and SARS-CoV-2 contact history investigation. All of them were finally diagnosed as non-infected patients. There was one outpatient who was confirmed positive by virus RNA test and then followed up. She might be an asymptomatic laboratory-confirmed case. During the study period, there was no SARS-CoV-2 infection among staff, patients and escorts of patients in the Zhejiang Cancer Hospital.

Conclusion

This study suggested our infection-control interventions, including viral nucleic acid test, could be used as a reliable method to screen cancer patients in the area with moderate COVID-19 prevalence. Cancer may not be a high-risk factor of SARS-CoV-2 infection.

Peer Review reports

Background

A novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing coronavirus disease 2019 (COVID-19) emerged and rapidly spread throughout the whole world [1,2,3,4]. As of April 172,020, a total of 2,100,272 COVID-19 cases have been confirmed worldwide, and the disease has become a critical global public health issue (https://www.who.int/docs/default-source/coronaviruse/situation-reports/-sitrep-74-covid-19-mp.pdf?sfvrsn=4e043d03_4). Furthermore, unconfirmed infected patients exist due to the asymptomatic (subclinical) infection and the incubation period [5, 6].

The secondary symptoms of COVID-19 patients are headache, diarrhea, nausea, and vomiting, which highly resemble the symptoms of cancer patients receiving chemotherapy and/or immunotherapy [2, 7,8,9]. Moreover, cancer patients are particularly susceptible to pneumonia due to a weakened immune response to pathogens, such as bacteria and virus [10,11,12]. Therefore, during the epidemic of COVID-19, the oncologists faced a significant challenge to distinguish infected from non-infected patients [13, 14]. These difficulties may cause cancer hospitals to reduce non-emergency medical wards and oncology service to decrease the risk of virus transmission, despite that it can delay the scheduled chemotherapy or surgery for cancer patients. Delayed treatment will worsen the patients’ prognosis and may sometimes lead to severe consequences. A viewpoint from the Chinese National Cancer Center recommended that several mandatory measures were carried out during the COVID-19 pandemic. However, the cancer patients received treatment in their hospital were mainly outpatients (2795 outpatients vs. 149 inpatients) and very few patients were tested by SARS-CoV-2 nucleic acid analysis [15].

Taking into account the potential of COVID-19 of nosocomial transmission to cancer patients and medical staff and the ability of SARS-CoV-2 causing fatal pneumonia, our hospital called on all medical professionals to learn the medical knowledge of COVID-19 and developed a set of infection-control interventions. After that, the hospital strictly followed the intervention protocols with an adequate screening of the nucleic acid of SARS-CoV-2 from February 1 to April 3, 2020.

Additionally, whether cancer serves as an independent risk factor for COVID-19 infection remains unclear. The prevalence of COVID-19 infection was recently reported being higher in a cancer patient cohort than in individuals without cancer [16]. However, among the 18 infected cancer patients in the cohort, 12 patients showed no signs of a weakened immune response, which did not well represent the immune status of the majority of patients in recovery from cancer therapy. Also, there were 2 cancer patients with unknown cancer treatment information [17, 18]. We could suspect that the infection of COVID-19 in the 12 cancer survivors was not related to cancers. Additionally, the infected cancer patients were older than other patients in this cohort of 1590 cases, which indicated that age might be an essential factor for their vulnerability and hospitalization due to more severe symptoms as compared to younger patients. A letter in The JAMA Oncology suggested that cancer patients at Zhongnan Hospital of Wuhan University harbored a higher risk of COVID-19 than the community in Wuhan. However, hospital-acquired transmission cannot be excluded in these patients in Wuhan [19]. Despite that, the results of COVID-19 screening for cancer patients outside Wuhan are still unknown. Because of the different prevalence of COVID-19 between Wuhan and most other regions of China and other countries, it is necessary to answer the question of whether cancer patients in moderate epidemic areas carry a higher risk of COVID-19 infection than the general population in the community.

Thus, to prevent and control COVID-19 infection among cancer patients, and to better manage cancer patients during the pandemic, we present here our management of infection-control interventions and SARS-CoV-2 RNA screening results with the clinical features of suspected COVID-19 cases at Zhejiang Cancer Hospital, Hangzhou, China.

Methods

Staff training and 3-level protection

All personnel, including medical professionals and supporting staffs, received comprehensive training on COVID-19 pandemic prevention and control. Three different levels of protection were provided to our staff. The detail of protective measures and allowed practices were showed in Supplementary Table 1.

Patient enrollment

During the epidemic of COVID-19 from February 1 to April 3, 2020, all patients need to schedule an appointment to see the doctor through the online hospital booking system or by phone. SARS-CoV-2 contact history was investigated through the booking system. Only patients without a known history of SARS-CoV-2 contact were eligible to schedule an appointment. The patients’ body temperatures were measured upon their arrival at Zhejiang Cancer Hospital during the epidemic of COVID-19 from February 1 to April 3, 2020. All the patients were advised to wear masks during the visitation in our hospital. Individuals with fever were sent to fever clinic for travel history investigation, chest CT examination, blood cell counting and clinical symptoms assessment, such as cough, myalgia, fatigue. Based on the above information, suspected patients could be clinically diagnosed according to the updated COVID-19 Diagnosis and Therapy Guideline from Center of Disease Control (CDC), China, 7th Edition (http://www.chinacdc.cn/jkzt/crb/zl/szkb_11803/jszl_11815/202003/W020200305456621460977.pdf). Before further surgery, radiation, or chemotherapy, respiratory tract samples (sputum and/or pharyngeal swab) from all patients, including clinically suspected ones, were collected for the SARS-CoV-2 RNA testing. In the case of suspected patients, oncologists wear level-3 protections to perform routine therapeutic activities including chemotherapy, radiation, and surgery in our hospital. When those patients were diagnosed with infection, they were sent to a designated hospital in the area for anti-infection treatment and follow-up cancer related treatment. The infection-control interventions for hospital admissions during the outbreak of COVID-19 were presented in Fig. 1.

Fig. 1
figure1

Infection-control interventions for hospital admissions during the outbreak of COVID-19

RNA test and following up evaluation

A real-time PCR assay (Liferiver, Z-RR-0479-02-50, China) was used to analyze all the patient samples, which was the first National Medical Products Administration (NMPA) approved SARS-CoV-2 RNA testing method in China. The protocol of this real-time RT-PCR assays targeting the RNA-dependent RNA polymerase (RdRp), nucleocapsid (N) and envelope (E) genes of SARS-CoV-2. Only RdRp and N genes were considered according to COVID-19 Prevention and Control Guideline from CDC, China, 5th Edition (http://www.chinacdc.cn/jkzt/crb/zl/szkb_11803/jszl_11815/202002/W020200223341563346503.pdf). Ct value 43 is the cutoff value to differentiate positive and negative amplifications. Patients with both positive RdRp and positive N genes were confirmed as infected patients. Clinically suspected patients need to be retested after 24 h if the first round of test results were negative or equivocal. If a patient had only one gene-positive among these two genes, this patient needed to be retested after 24 h interval. CT scan and travel or contact history will be thoroughly investigated. If the RdRp gene was tested positive again, the patient was infected by COVID-19. If the N gene was tested positive twice, the patient became a laboratory suspected one due to the specificity of N gene to COVID-19 was relatively low [20]. CT scan, travel or contact history investigation and follow up tests are required to clarify a laboratory suspected patient.

Statistical analysis

Continuous data were directly expressed as a range. Categorical data were expressed as number and percentage. The SPSS software (version 19.0) was utilized for statistical analysis.

Role of the funding source

The study sponsors had no role in study design, data analysis, data interpretation, writing of the report, or the decision to submit the paper for publication. The corresponding author had full access to all data in the study and had final responsibility for the decision to submit for publication.

Results

According to the most updated information by April 172,020, none of the staff in Zhejiang Cancer Hospital or visitors was infected by SARS-CoV-2 during the period of this study.

A total of 4113 patients were enrolled from February 1 to April 3, 2020. Their clinicopathologic information was summarized in Table 1. The residence of all the patients was summarized in Table 2. The number of local confirmed infected cases were obtained from the biggest real-time reporting system of nCOV in China, which has been visited by people over 3.6 billion times since the start of this epidemic (http://ncov.dxy.cn/ncovh5/view/pneumonia). Four thousand two hundred thirty-seven samples from 4101 patients produced negative RNA testing results. There were 4 clinically suspected COVID-19 cases before RNA testing, including 1 esophageal cancer patient, 1 hypopharyngeal cancer patient, 1 lung cancer patient, and 1 breast cancer patient. All these 4 patients presented with a fever. Three patients showed other upper respiratory symptoms. Laboratory examination suggested that none of the 4 suspected COVID-19 cases had a low leukocyte count (< 9.5 ×  109 cells per L). Three patients had lymphopenia (< 1.0 × 109 cells per L). Three patients had an increased level of C-reactive protein (CRP) (> 10 mg/L). Two patients had an elevated concentrations of lactate dehydrogenase concentrations (LDH) (> 240 U/L). One patient had an elevated level of alanine aminotransferase (ALT) (> 50 U/L) and an increased concentration of aspartate aminotransferase (AST) (> 40 U/L). All these 4 patients showed signs of viral infection on CT images (Fig. 2a-d). Their detailed information was present in Table 3. Patient1 was N-gene positive after the first round of PCR testing. After 24-h interval, these patients were retested. All these patients except for patient1 were diagnosed as non-infected patients. Patient1 was excluded after 2 weeks of monitoring.

Table 1 Clinical features of all patients admitted to Zhejiang cancer hospital
Table 2 Residence of all patients admitted to Zhejiang cancer hospital
Fig. 2
figure2

Chest CT images (transverse plane) of 4 clinical suspected COVID-19 patients. a Patient 1: right-sided multiple ground-glass opacities. b Patient 2: bilateral multiple ground-glass opacities. c Patient 3: bilateral multiple ground-glass opacities. d Patient 4: bilateral ground-glass opacities. Ground-glass opacities were indicated by an arrow in (A)

Table 3 Clinical and laboratory characteristics of suspected COVID-19

Other 7 cancer patients were N-gene positive in the first round of test. Five of them were confirmed N-gene positive after retesting. Three patients showed similar clinical symptoms with COVID-19, such as cough, fatigue and expectoration. All 7 patients presented normal white blood cell count and C-reactive protein (CRP). One patient had lymphopenia (< 1.0 × 109 cells per L). Four of them had abnormal LDH, AST or ALT levels. Patient 5 had positive CT findings (Table 4). This patient can neither be excluded from the viral infection nor be confirmed at that time due to the relatively low specificity of N-gene. She was transferred to a COVID-19 designated hospital in Hangzhou for follow-up monitoring. Fortunately, patient 5 with the other 6 patients were finally excluded from COVID-19 after at least 14 days of follow-up monitoring.

Table 4 Clinical and laboratory characteristics of positive N gene of SARS-CoV-2

One laboratory-confirmed case of COVID-19 was found among 4113 patients (Table 5). This 61-year-old female outpatient with recurrent ovarian cancer lived in Jiaxing, Zhejiang province and received chemotherapy 2 weeks ago. The patient had a normal clinical examination and showed no clinical symptoms of COVID-19. She was quarantined at home and monitored by the local community after received the testing result. After 4 weeks of follow-up, the patient, her family, and individuals with intimate contact showed no clinical symptoms of COVID-19. The patient received a negative nucleic acid testing result of COVID-19 and normal chest CT image in our hospital before she got the next round of chemotherapy. This patient was diagnosed as a cancer patient with asymptomatic COVID-19 infection according to the COVID-19 Prevention and Control Guideline from CDC, China, 6th Edition (http://www.chinacdc.cn/jkzt/crb/zl/szkb_11803/jszl_11815/202003/W020200309376009304000.pdf).

Table 5 Clinical and laboratory characteristics of the case

Discussion

During the study period, despite the enormous challenges brought by the COVID-19 epidemic, our hospital still provided timely oncology or medical services to a large number of cancer patients. No COVID-19 case was found in the 3697 inpatients, medical staff or visitors. The practice has proved that our COVID-19 infection intervention measures, combined with the extensive SARS-CoV-2 nucleic acid testing in Zhejiang Provincial Cancer Hospital, not only effectively prevented and contained the spread of the virus, but also greatly promoted patient care. Our screening strategy relied on the adequate laboratory testing capacity, which brought high work load to the clinical laboratory staff. Other cancer centers suggested to test cancer patients with active therapy only [21], which could reduce the sample volume for the clinical laboratory, but we suggested additional prevention method must be strictly used to prevent in-hospital transmission by outpatients and patients’ companions, especially in region with a high incidence of SARS-CoV-2 infection.

There are some similar clinical features between patients with COVID-19 and cancer patients, including fever and low leukocyte count caused by cancer or chemotherapy. With the help of chest CT images, oncologists assess the course of fever and the pulmonary infection [7, 8, 22]. Nevertheless, it is challenging to differentiate COVID-19 pneumonia from aspiration pneumonia and radiation-induced pneumonitis. In this study, nucleic acid tests of SARS-CoV-2 were regarded as the gold standard of COVID-19 case diagnosis. Patients with positive chest CT with other clinical evidences were diagnosed as clinically suspected COVID-19 cases. Only 4 clinically suspected COVID-19 cases were found from February 1 to April 3 in Zhejiang Cancer Hospital during the outbreak of COVID-19. Three of them were tested negatively by the PCR method, and after at least 2 weeks of monitoring by local communities or hospitals, none of them has be diagnosed as infected patients.

Furthermore, for the other 4101 RNA negative patients, most of them were tested and excluded 2 weeks ago in our hospital. As we knew by now, none of them was diagnosed as COVID-19 cases by local hospitals and reported to the system. However, the PCR method still has a chance to produce false-negative results due to many reasons. A study presented five patients with confirmed COVID-19 infection and negative RT-PCR testing, which indicated that insufficient viral samples and laboratory difficulties might be responsible for the false-negative rate of SARS-CoV-2 RT-PCR testing [23]. Previously published research suggested that sputum showed a higher positive rate than pharyngeal swabs [24]. We changed our sample type from pharyngeal swabs to sputum during our study because the sputum samples have reported advantages and can be harvested by patients themselves, which reduced medical staff’s workload and exposure risks. For some patients who have no sputum, saliva from throat could still be used for testing because live virus can be found in saliva samples [25].

Cancer patients are known to be particularly susceptible to pneumonia because of weakened immune reaction to virus. For example, the 2009 H1N1 influenza pandemic caused a 31% ICU admission rate and a 22% mortality rate among patients with hematologic malignancies and/or hematopoietic stem cell transplant [26]. These outcomes are worse than the 25% ICU admission rate and a 7% mortality rate reported for healthy individuals infected with 2009 H1N1 influenza [27]. A study in The Lancet Oncology showed that cancer patients had a higher risk of COVID-19 and worse prognosis than patients without cancer [16]. Of 1590 cases with confirmed COVID-19, 18 patients had a history of cancer. Due to cancer heterogeneity and different treatment regimens, the conclusion from such a small sample size could not be generalized to all cancer patients [17, 18]. Furthermore, only patients with severe symptom were hospitalized during the early Wuhan pandemic due to the limited medical resources. In this cohort, the 18 cancer patients were significantly older than others, which could be a reason why they were hospitalized due to age-related symptoms. A letter in The JAMA Oncology pointed out that compared with individuals in the community, cancer patients at a tertiary hospital in Wuhan had an increased risk of COVID-19. Due to the high prevalence of COVID-19 in Wuhan, 41.3% of infected patients in this cohort might be related to hospital-acquired transmission. The fact that cancer patients visited the hospital more frequently than others could cause their infection [19]. In addition to the nucleic acid test of SARS-CoV-2, Chest CT images, which were considered highly accurate and efficient, were also recommended to be used as the diagnostic criteria for COVID-19 in the highly epidemic area of Wuhan. Among these 12 patients, eight patients confirmed by chest CT showed negative RT-PCR results [19]. We conducted extensive COVID-19 screening of 3919 cancer patients mainly from Zhejiang province in China and found one asymptomatic patient. Interestingly, in Zhejiang province, five cancer patients with typical CT images of viral infection were finally excluded, which showed that CT images could not be used as the primary diagnostic basis in moderate epidemic areas. On the other hand, by April 17, the total number of local COVID-19 cases reported by this province with a population of 50.00 million (2018) was 1182, with another 50 imported cases and 36 cases from an outbreak in a jail. It can be reasonably inferred that cancer patients may not be more prone to COVID-19 than the general population in this area.

A viewpoint in The JAMA Oncology recommended several mandatory measures in a National Cancer Center of China [15]. A total of 2795 outpatients received clinic consultation, chemotherapy, immunotherapy, and radiotherapy. Only 149 cancer patients who need emergency surgeries were admitted into the wards. These infection-control interventions reduced non-emergency surgery and oncology service, which may worsen the prognosis of many cancer patients. Moreover, the asymptomatic and subclinical infection may be missed because the nucleic acid test of SARS-CoV-2 was only assessed among few patients with clinically suspected COVID-19. Interestingly, our findings indicated that 5 cancer patients without clinically suspected COVID-19 were confirmed positive N genes, and another 1 patient was laboratory confirmed COVID-19 with asymptomatic symptom. Therefore, we suggested that the nucleic acid of SARS-CoV-2 should be assessed among all cancer patients due to the asymptomatic and subclinical infection.

The treatment of cancer patients diagnosed with COVID-19 is complicated. Local guidelines for COVID-19 prevention and control recommended that all patients, cancer patients included, with confirmed infections, must be transferred to designated hospitals with multidisciplinary medical teams. According to the tumor’s biological characteristics, the clinical condition of the patients, the treatment characteristics (i.e., expected benefits and adverse events such as immunosuppression), and the response to current anti-cancer treatments, the infected cancer patients were treated on a personalized basis. First, timely anti-infection and supportive treatment was provided. Chemotherapy and elective surgery that led to immunosuppression were delayed until the patient recovered from SARS-CoV-2 infection, which was defined by symptom relief and two consecutive negative RT-PCR tests. During anti-infective treatment, cancer-related life-threatening symptoms, such as airway obstruction, internal bleeding must be monitored and treated. Other cancer centers have adopted similar strategies to treat infected cancer patients [28,29,30].

One caveat of our study is that the majority of patients enrolled had solid tumors. Therefore, malignancies with severe immunosuppression, such as hematologic malignancies and pediatric tumors, have not been evaluated. Also, most patients came from Zhejiang province, which was an intermediate epidemic region, with the prevalence much lower than epicenters like Wuhan.

Conclusions

Thanks to the tremendous and active efforts made to treat infected COVID-19 patients and to quarantine suspected patients and their contacts, new cases of COVID-19 are rarely diagnosed daily in China recently. Our study suggested that a comprehensive set of virus preventive interventions combined with SARS-CoV-2 nucleic acid test could effectively triage and manage cancer patients, and ultimately promote patient care. Cancer patients in Zhejiang were not at a higher risk to COVID-19 than the general population.

Availability of data and materials

The raw data is available by contacting corresponding author.

Abbreviations

COVID-19:

Coronavirus disease 2019

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

CDC:

Center of disease control

RdRp:

RNA-dependent RNA polymerase

N:

Nucleocapsid

E:

Envelope

CRP:

C-reactive protein

LDH:

Lactate dehydrogenase

ALT:

Alanine aminotransferase

AST:

Aspartate aminotransferase

References

  1. 1.

    Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–33.

    CAS  Article  Google Scholar 

  2. 2.

    Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506.

    CAS  Article  Google Scholar 

  3. 3.

    Xu XW, Wu XX, Jiang XG, Xu KJ, Ying LJ, Ma CL, Li SB, Wang HY, Zhang S, Gao HN, et al. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. Bmj. 2020;368:m606.

    Article  Google Scholar 

  4. 4.

    Jacobsen KH. Will COVID-19 generate global preparedness? Lancet. 2020;395(10229):1013–4.

    CAS  Article  Google Scholar 

  5. 5.

    Bai Y, Yao L, Wei T, Tian F, Jin DY, Chen L, Wang M. Presumed Asymptomatic Carrier Transmission of COVID-19. JAMA. 2020;323(14):1406-7.

    CAS  Article  Google Scholar 

  6. 6.

    Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, Azman AS, Reich NG, Lessler J. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann Intern Med. 2020;172(9):577-82.

    Article  Google Scholar 

  7. 7.

    Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-9.

    CAS  Article  Google Scholar 

  8. 8.

    Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.

    CAS  Article  Google Scholar 

  9. 9.

    Zhou Z, Zhao N, Shu Y, Han S, Chen B, Shu X. Effect of Gastrointestinal Symptoms in Patients With COVID-19. Gastroenterol. 2020;58(8):2294-7.

    Article  Google Scholar 

  10. 10.

    Kamboj M, Sepkowitz KA. Nosocomial infections in patients with cancer. Lancet Oncol. 2009;10(6):589–97.

    Article  Google Scholar 

  11. 11.

    Sica A, Massarotti M. Myeloid suppressor cells in cancer and autoimmunity. J Autoimmun. 2017;85:117–25.

    CAS  Article  Google Scholar 

  12. 12.

    Longbottom ER, Torrance HD, Owen HC, Fragkou PC, Hinds CJ, Pearse RM, O'Dwyer MJ. Features of postoperative immune suppression are reversible with interferon gamma and independent of Interleukin-6 pathways. Ann Surg. 2016;264(2):370–7.

    Article  Google Scholar 

  13. 13.

    Yang G, Zhang H, Yang Y. Challenges and countermeasures of integrative Cancer therapy in the epidemic of COVID-19. Integrative cancer therapies. 2020;19:1534735420912811.

    PubMed  PubMed Central  Google Scholar 

  14. 14.

    The Lancet O. COVID-19: global consequences for oncology. Lancet Oncol. 2020;21(4):467.

    Article  Google Scholar 

  15. 15.

    Wang Z, Wang J, He J. Active and Effective Measures for the Care of Patients With Cancer During the COVID-19 Spread in China. JAMA Oncol. 2020;6(5):631-2.

    CAS  Article  Google Scholar 

  16. 16.

    Liang W, Guan W, Chen R, Wang W, Li J, Xu K, Li C, Ai Q, Lu W, Liang H, et al. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. 2020;21(3):335–7.

    CAS  Article  Google Scholar 

  17. 17.

    Xia Y, Jin R, Zhao J, Li W, Shen H. Risk of COVID-19 for patients with cancer. Lancet Oncol. 2020;21(4):e180.

    CAS  Article  Google Scholar 

  18. 18.

    Wang H, Zhang L. Risk of COVID-19 for patients with cancer. Lancet Oncol. 2020;21(4):e181.

    CAS  Article  Google Scholar 

  19. 19.

    Yu J, Ouyang W, Chua MLK, Xie C. SARS-CoV-2 Transmission in Patients With Cancer at a Tertiary Care Hospital in Wuhan, China. JAMA Oncol. 2020;6(7):1108-10.

    Article  Google Scholar 

  20. 20.

    Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565–74.

    CAS  Article  Google Scholar 

  21. 21.

    Tagliamento M, Spagnolo F, Poggio F, Soldato D, Conte B, Ruelle T, Barisione E, De Maria A, Del Mastro L, Di Maio M, et al. Italian survey on managing immune checkpoint inhibitors in oncology during COVID-19 outbreak. Eur J Clin Invest. 2020;50(9):e13315.

    CAS  Article  Google Scholar 

  22. 22.

    Chua F, Armstrong-James D, Desai SR, Barnett J, Kouranos V, Kon OM, Jose R, Vancheeswaran R, Loebinger MR, Wong J, et al. The role of CT in caseascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions. Lancet Respir Med. 2020;8(5):438-40.

    CAS  Article  Google Scholar 

  23. 23.

    Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RTPCR Testing. Radiol. 2020;296(2):E41-5.

    Article  Google Scholar 

  24. 24.

    Wang W, Xu Y, Gao R, Lu R, Han K, Wu G, Tan W. Detection of SARS-CoV-2 in Different Types of Clinical Specimens. JAMA. 2020;323(18):1843-4.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Wolfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Muller MA, Niemeyer D, Jones TC, Vollmar P, Rothe C, et al. Virological assessment ofhospitalized patients with COVID-2019. Nature. 2020;581(7809):465-9.

    Article  Google Scholar 

  26. 26.

    Tramontana AR, George B, Hurt AC, Doyle JS, Langan K, Reid AB, Harper JM, Thursky K, Worth LJ, Dwyer DE, et al. Oseltamivir resistance in adult oncology and hematology patients infected with pandemic (H1N1) 2009 virus, Australia. Emerg Infect Dis. 2010;16(7):1068–75.

    CAS  Article  Google Scholar 

  27. 27.

    Jain S, Kamimoto L, Bramley AM, Schmitz AM, Benoit SR, Louie J, Sugerman DE, Druckenmiller JK, Ritger KA, Chugh R, et al. Hospitalized patients with 2009 H1N1 influenza in the United States, April-June 2009. N Engl J Med. 2009;361(20):1935–44.

    CAS  Article  Google Scholar 

  28. 28.

    Tagliamento M, Lambertini M, Genova C, Barisione E, De Maria A, Grosso M, Poggio F, Vagge S, Boccardo F, Pronzato P, et al. Call for ensuring cancer care continuity during COVID-19 pandemic. ESMO Open. 2020;5(3):e000783.

    Article  Google Scholar 

  29. 29.

    Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Chen Y, et al. Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. Ann Oncol. 2020;31(7):894–901.

    CAS  Article  Google Scholar 

  30. 30.

    Lambertini M, Toss A, Passaro A, Criscitiello C, Cremolini C, Cardone C, Loupakis F, Viscardi G, Meattini I, Dieci MV, et al. Cancer care during the spread of coronavirus disease 2019 (COVID-19) in Italy: young oncologists' perspective. ESMO Open. 2020;5(2):e000759.

    Article  Google Scholar 

Download references

Acknowledgements

We thank all individuals involved in this study.

Funding

This research was supported by the fifth-level talent introduction research start-up grant from Zhejiang Cancer Hospital and grant: LY21H200001 from Natural Science Foundation of Zhejiang Province.

Author information

Affiliations

Authors

Contributions

EYY, MC, SXX, XDC, WYW, XHX, WHC, TZ, YY, KZL and GLS were the group to establish the control and prevention strategy, who also designed and initiated the study. ZWP, QS, JX, YYC, FF, JZ, and SXX conducted the nucleic acid extraction of samples and Real-time PCR test. XYD and YPY offered and judged the chest CT images. ZWP, QS, JX, YYC, FF, JZ, YHW and SXX collected and analyzed the data. QS, SXX and YHW wrote the manuscript and revised the paper. All the authors interpreted the results and approved the final version for publication.

Corresponding authors

Correspondence to Ming Chen or Enyan Yu.

Ethics declarations

Ethics approval and consent to participate

The research approval (No.IRB-2020-77) was obtained from ethics committee at Zhejiang Cancer Hospital. All participants or their legal guardians gave written or verbal informed consent in accordance with the Declaration of Helsinki.

Consent for publication

Written or verbal informed consents for publication were obtained from all participants or their legal guardians.

Competing interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1 Supplementary Table S1

. Graded protection requirements for medical staff.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Xu, S., Cheng, X., Pan, Z. et al. Cancer patient management strategy in a Cancer Center of Zhejiang, China during the COVID-19 pandemic. BMC Cancer 20, 1194 (2020). https://doi.org/10.1186/s12885-020-07577-8

Download citation

Keywords

  • Cancer
  • COVID-19
  • Infection-control interventions