| Literature DB >> 35276734 |
Suranjith L Seneviratne1,2, Widuranga Wijerathne3, Pamodh Yasawardene3, Buddhika Somawardana4.
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has currently affected >220 million individuals worldwide. The complex interplay of immune dysfunction, active malignancy, the effect of cancer treatment on the immune system and additional comorbidities associated with cancer and COVID-19 all affect the outcomes of COVID-19 in patients with cancer. We have discussed the published findings (through the end of September 2021) on the effects of cancer on the morbidity and mortality of COVID-19, common factors between cancer and COVID-19, the interaction of cancer and COVID-19 treatments, the impact of COVID-19 on cancer clinical services, immune test findings in cancer patients with COVID-19 and the long-term effects of COVID-19 on cancer survivors.Entities:
Keywords: COVID-19; cancer; haematologic malignancies; immunology; outcomes; solid malignancies
Mesh:
Year: 2022 PMID: 35276734 PMCID: PMC8992310 DOI: 10.1093/trstmh/trac015
Source DB: PubMed Journal: Trans R Soc Trop Med Hyg ISSN: 0035-9203 Impact factor: 2.455
Figure 1.Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart.
Studies on COVID-19 in cancer patients
| First author, year and month (country) | Type of cancer | Objective | Cancer cohort size | Methodology and duration of study | Significant findings |
|---|---|---|---|---|---|
| Alpert, 2020 November[ | S, H | Compared clinical characteristics of COVID-19 patients with and without cancer | 421 (S 325, H 96) | Retrospective. In-patient or emergency care at Mount Sinai Health System (March–May 2020) | Cancer patients – higher risk for adverse outcomes (thromboembolism, sepsis). No difference in AKI, ICU admissions and mortality |
| Bange, 2020 May[ | H | Compared mortality in haematologic and solid cancer patients with COVID-19 | 100 | Prospective, multicentre, observational (April–September 2020) | Haematologic cancer – higher mortality than solid cancer. Those with high CD8 T cell responses had better outcomes |
| Bernard, 2021 March[ | S, H | Compare clinical findings in hospitalised patients | 6201 | Retrospective study. Assessed French national database of hospitalized COVID-19 patients (March–April 2020) | COVID-19 and cancer – twofold higher risk of death vs COVID-19 without cancer. Blood cancer – admission to ICU significantly more frequent (24.8% vs 16.4%). Lung, digestive (excluding colorectal cancer) and metastatic solid cancers – higher risk of death |
| Cai, 2021 January[ | S, H | COVID-19 with cancer vs those without cancer | 93 | Multicentre, retrospective, cohort study. Compared the immunological characteristics of both cancer and non-cancer patients (February–March 2020) | COVID-19 patients with cancer – poorer prognosis vs non-cancer patients due to dysregulated immune responses. Higher mortality in patients with cancer compared with healthy controls |
| Calles, 2020 September[ | S (lung) | Assess outcomes of lung cancer patients affected by COVID-19 | 23 | Prospective study. Evaluated patients with lung cancer treated at a medical centre in Spain and diagnosed with COVID-19 (March–May 2020) | Lung cancer patients – high rate of hospitalization, onset of ARDS and high mortality rate |
| Cattaneo, 2020 September[ | H | Determine clinical characteristics and risk factors for mortality in haematologic patients affected by COVID-19 | 102 | Retrospective cohort study. (March 2020) | Chronic myeloproliferative neoplasms – lower risk of acquiring COVID-19. Immune-mediated anaemia and on immunosuppressive-related treatments – higher risk of acquiring COVID-19. Haematologic patients – higher mortality than non-haematologic patients with COVID-19 and uninfected haematologic patients. Worst prognosis among patients on active haematologic treatment |
| Chai, 2021 July[ | S, H | Assess mortality and consequences of COVID-19 in cancer patients | 166 | Multicentre comparative cohort study. Compared COVID-19 patients with cancer and non-cancer COVID-19 patients and non-COVID cancer patients (January–March 2020) | If cancer patients with COVID-19 survive acute COVID-19 infection, long-term mortality appears similar to the cancer patients without COVID-19 and their long-term clinical sequelae are similar to COVID-19 patients without cancer. High risk – haematologic, nasopharyngeal, brain, digestive system and lung tumours. Moderate risk – genitourinary, female genital, breast and thyroid tumours |
| Costa, 2021 August[ | S, H | Evaluate risk factors of in-hospital mortality among COVID-19 patients with and without cancer | Cancer: 7406; no Cancer: 315 410 | Retrospective study (March–December 2020) | COVID-19 patients with cancer – higher disease severity, higher risk of mortality, longer hospital stay, higher ICU admissions, receive more invasive mechanical ventilation than patients without cancer. Haematologic neoplasia – higher risk of mortality than solid tumours |
| Crolley, 2020 October[ | S, H | Assess whether cancer patients (on systemic anticancer therapies) are at greater risk of contracting COVID-19 or having more severe outcomes | 68 | Retrospective study (March–May 2020) | Patients on SACT – higher mortality if they contract COVID-19. Receiving chemotherapy – increased risk of developing COVID-19 (high-dose chemotherapy – significantly high risk). Respiratory or intrathoracic neoplasm – increased risk of developing COVID-19. Receiving targeted treatment – protective effect. Solid vs haematologic cancer – no significant effect on risk |
| Dai, 2020 January[ | S, H | Determine clinical characteristics and outcomes of COVID-19 patients with cancer | 105 | Multicentre retrospective study (January–February 2020) | COVID-19 patients with cancer – higher risks of severe outcomes. Haematologic cancer, lung cancer or with metastatic cancer (stage 4) – highest frequency of severe events. Non-metastatic cancer – frequency of severe conditions similar to patients without cancer. Patients who underwent surgery – had higher risks of severe events. Only radiotherapy – no significant differences in severe events compared to patients without cancer |
| De Azambuja, 2020 August[ | S | Determine the in-hospital mortality within 30 d of COVID-19 diagnosis among patients with solid cancer compared with patients without cancer | Cancer: 1187; no cancer: 12 407 | Retrospective study. Data from adult patients registered until 24 May 2020 in the Belgian nationwide database of Sciensano were used (April–May 2020) | Solid cancer – adverse prognostic factor for in-hospital mortality. Younger patients and without other comorbidities – adverse effect more pronounced |
| De Melo, 2020 October[ | S, H | Describe the outcomes, demographics and clinical characteristics of cancer in patients with COVID-19 | 181 | Retrospective cohort study. Cancer patients admitted to the Brazilian National Cancer Institute were assessed (April–May 2020) | Cancer – important prognostic factor for patients with COVID-19. Higher rates of complications (respiratory failure, septic shock, AKI) and COVID-19-specific death. COVID-19-specific mortality associated with age >75 y, metastatic cancer, ≥2 sites of metastases, presence of lung/bone metastases, non-curative treatment or best supportive care intent, higher CRP levels, admission due to COVID-19 and antibiotics use |
| Elkrief, 2020 November[ | S, H | Determine the incidence and impact of hospital-acquired COVID-19 in cancer patients | 252 | Prospective observational cohort study. Used provincial registries and hospital databases (March–May 2020) | Hospital-acquired COVID-19-increased mortality in the cancer population. Age and advanced stage of cancer were negative predictive factors for COVID-19 severity |
| Erdal, 2021 January[ | S, H | Investigate clinical course and the factors affecting mortality in cancer patients affected by COVID-19 | 77 | Single-centre retrospective study. Compared cancer patients with non-cancer patients who were admitted to a hospital in Istanbul with COVID-19 infection (March–May 2020) | Cancer patients – severe disease and mortality higher vs non-cancer patients. Associations with severe disease and mortality – stage of the disease, receiving chemotherapy in the last 30 d, lymphopenia, elevated troponin I, D-dimer and CRP. Most important factors influencing survival – severe lung involvement and lymphopenia |
| Fernandes, 2021 February[ | S, H | To analyse COVID-19 mortality in cancer patients and associated factors | 51 | Cross-sectional retrospective study (April–August 2020) | Higher fatality – lung and haematologic cancers, age >60 y, currently undergoing cancer treatment |
| Ferrari, 2021 January[ | S, H | Investigate the predictors of death after COVID-19 diagnosis in patients with cancer | S: 167; H: 31 | Longitudinal multicentre cohort study (March–July 2020) | Factors associated with death – age ≥60 y, current/former smoking, coexisting comorbidities, respiratory tract cancer. COVID-19 rates similar to general population if otherwise healthy and have curable malignancies |
| Fillmore, 2020 October[ | S, H | Evaluate prevalence and outcome of COVID-19 infection in cancer patients and identify risk factors associated with infection and outcomes | 1794 | Retrospective study. Data from the Veterans Affairs Corporate Data Warehouse (January–May 2020) | Cancer – high susceptibility to COVID-19 infection and severe eventual outcome. Determinants of mortality – age, comorbidity and specific cancer types. COVID-19-attributable mortality similar in patients recently treated for cancer vs treated >6 months ago or never treated with systemic therapy. Mortality in patients using ICI within the last 6 months significantly lower (7%) vs patients receiving chemotherapy (14.0%), hormone therapy (16.2%) or targeted therapy (14.1%) |
| Ganatra, 2020 November[ | S, H | Evaluate outcomes in patients with COVID-19 with both cancer and comorbid CVD | Total: 2476; cancer: 195 | Retrospective study (March–May 2020) | Cancer was an independent predictor of severe disease. Patients with both cancer and CVD had a higher risk of severe disease and death vs only cancer or only CVD. Arrhythmias and encephalopathy more frequent with both cancer and CVD vs cancer alone |
| Grivas, 2021 June[ | S, H | Identify prognostic clinical factors, including laboratory measurements and anticancer therapies | 4966 | Retrospective, observational cohort study (March–November 2020) | Associations with higher COVID-19 severity – older age, male sex, obesity, cardiovascular and pulmonary comorbidities, renal disease, diabetes mellitus, non-Hispanic black race, Hispanic ethnicity, performance status, recent cytotoxic chemotherapy and haematologic malignancy. Among hospitalized patients, associations with higher COVID-19 severity – low/high absolute lymphocyte count, high absolute neutrophil count, low platelet count, abnormal creatinine, troponin, lactate dehydrogenase, and CRP. Higher mortality with anticancer therapies like R-CHOP, platinum combined with etoposide and DNA methyltransferase inhibitors |
| Höllein, 2021 January[ | S, H | Determine the immune competence of individual patients by assessing absolute numbers of CD4+ T-cells, CD8+ T-cells, CD19+ B cells and CD16+/CD56+ NK cells in peripheral blood | S: 5; H: 12 | Retrospective study. Patients with cancer and COVID-19 treated in haematology and oncology centres from the greater Munich area (March–May 2020) | Haematologic cancers – higher risk for a severe course of COVID-19 compared with solid tumours. Cancer patients – higher risk of dying from COVID-19 than patients without cancer |
| Jee, 2020 August[ | S, H | Analyse the outcomes of cancer patients with COVID-19 and determine the impact of recent cytotoxic chemotherapy | 309 | Retrospective study. Patients with cancer and concurrent COVID-19 at Memorial Sloan Kettering Cancer Centre (March–April 2020) | Recent cytotoxic chemotherapy treatment not associated with adverse COVID-19 outcomes. Associations with worse outcomes – active haematologic or lung malignancies, peri-COVID-19 lymphopenia or baseline neutropenia. Rate of adverse events lower in cancer patients without COVID-19 |
| Kabarriti, 2020 August[ | S (lung) | Assess impact of prior lung irradiation on death as a result of COVID-19 infection | 107 | Retrospective study (March–April 2020) | History of radiation therapy (between 1 month and 1 y before COVID-19 testing) for cancer – poor prognosis. Mortality risk associated with the extent of lung irradiation |
| Khusid, 2021 February[ | S, H | Evaluate COVID-19 patients with a history of malignancy with regard to adverse clinical outcomes | 374 | Multicentre retrospective cohort study (March 2020–August 2020) | History of cancer – no greater risk for AKI or ICU admissions but higher risk for mortality vs without a history of cancer. Pulmonary neoplasm – higher mortality. History of genitourinary malignancies – not at higher risk for AKI or for mortality compared with the general population |
| Kuderer, 2020 June[ | S, H | Characterise the outcomes of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness | 928 | Retrospective cohort study. Data on cancer patients ≥18 y of age with COVID-19 infection from the USA, Canada and Spain from the COVID-19 and Cancer Consortium database (March–April 2020) | 30-d all-cause mortality high in cancer patients. Associated with general risk factors and risk factors unique to patients with cancer (cancer status –remission vs active disease, responding to treatment vs progressing, active anticancer therapy). No associations with mortality – race and ethnicity, obesity status, cancer type, type of anticancer therapy and recent surgery |
| Lara Álvarez, 2020 September[ | S | Determine the mortality due to COVID-19 in cancer patients during the first 3 weeks of the epidemic | 36 cancer (15 deaths), 1033 non-cancer (117 deaths) | Retrospective study. Cancer patients who died of COVID-19 were reviewed (March 2020) | COVID-19 mortality in cancer patients four times higher than that of the general population |
| Lara, 2020 July[ | S (gynaecologic cancer) | Determine the clinical characteristics and outcomes of patients with gynaecologic cancer with COVID-19 infection | 121 | Retrospective, observational study (March–April 2020) | Mortality 14% (risk of death similar to the age-specific mortality risk). Associations with increased risk of mortality – recent immunotherapy use. Associations with hospitalization – age ≥64 y, African American race and ≥3 comorbidities. Chemotherapy and recent major surgery not predictive of COVID-19 severity or mortality |
| Larfors, 2020 December[ | S, H | Evaluate COVID-19 intensive care admissions and mortality among patients with cancer | 2278 cancer and non-cancer COVID patients admitted to the ICU (104 cancer patients); 5027 total deaths (461 cancer patients) | Retrospective, observational study. Data extracted from the Swedish Intensive Care Registry (March–June 2020) | Patients with cancer had a higher risk of intensive care need and death |
| Lee, 2020 June[ | S, H | Describe the clinical and demographic characteristics and COVID-19 outcomes in patients with cancer | 800 | Prospective cohort study (March–April 2020) | Associations with risk of death – advanced age, male gender, presence of other comorbidities such as hypertension and cardiovascular disease. Chemotherapy in the past 4 weeks had no significant effect on mortality vs patients with cancer who had not received recent chemotherapy. Immunotherapy, hormone therapy, targeted therapy or radiotherapy use within the past 4 weeks had no significant effect on mortality |
| Lee, 2020 October[ | S, H | Determine COVID-19 risk according to tumour subtype and patient demographics in patients with cancer | 1044 | Prospective cohort study (March–May 2020) | Associations with risk of death – increasing age. Haematologic malignancies had a more severe COVID-19 clinical course compared with solid organ tumours. Patients with leukaemia – significantly increased case fatality rate. Haematologic malignancies with recent chemotherapy – increased risk of death during COVID-19-associated hospital admission |
| Liang, 2021 March[ | S, H | Assess the clinical characteristics and risk factors for mortality in cancer patients with COVID-19 | 109 | Retrospective study (January–March 2020) | Cancer patients – higher risk of COVID-19 infection and poorer prognosis vs patients without cancer. Higher risk of mortality in advanced tumour stage or recent adjuvant therapy (<1 month) |
| Lunski, 2020 October[ | No specific type of cancer mentioned | Evaluate the difference in mortality from COVID-19 between patients with cancer and patients without cancer | Cancer: 312; without cancer: 4833 | Retrospective study (March–April 2020) | Patients with cancer – higher mortality vs controls. Greatest risk – patients with cancer age ≥65 y and those with certain comorbidities, male sex, history of CKD, obesity or recent therapy. Laboratory measures – decreased absolute lymphocyte counts, thrombocytopenia, elevated creatinine, lactic acidosis and elevated procalcitonin increased the risk of death |
| Mangone, 2021 April[ | S, H | Evaluate the impact of having had cancer on COVID-19 risk and prognosis during the first wave of the pandemic | 407 | Population-based cohort study. Used registry data from the Reggio Emilia province (January–May 2020) | Cancer patients – greater risk of hospitalization and death, especially if <70 y of age or recent diagnosis. Greatest risk of hospitalization – cancers of the GI tract, lymphoma or other haematologic neoplasms. Strongest excess mortality – cancer of the urinary tract, other haematologic neoplasms, melanoma and female genital organs |
| Mehta, 2020 July[ | S, H | Evaluate case fatality rate of different cancer types who acquired with COVID-19 | 218 | Retrospective study (March–April 2020) | Cancer patients – significant increase in mortality. Highest susceptibility in haematologic or lung malignancies |
| Meng, 2020 June[ | S, H | Evaluate the risk of cancer history and mortality in COVID-19 patients | 109 | Retrospective study (January–March 2020) | Cancer patients with COVID-19 – higher risk of mortality. Cancer history only independent risk factor for COVID-19. Haematologic malignancies – worse clinical outcomes (mortality rate twice that of patients with solid tumours [50% vs 26.1%]). Elevations in ferritin, high-sensitivity CRP, ESR, procalcitonin, prothrombin time, IL-2 receptor and IL-6 seen in cancer patients |
| Mohamed, 2021 January[ | S (renal transplant patients) | Compare waitlisted and transplant patients who got COVID-19 and assess clinical outcomes | 60 (32 active waitlisted patients and 28 functioning renal transplants) | Single-centre prospective study. COVID-19-positive waitlisted and transplant patients were compared and assess clinical outcomes were assessed (beginning of the pandemic–end of April 2020) | Both groups – CRP at 48 h and peak CRP associated with mortality. Incidence of COVID-19 higher in the waitlisted population. Transplant patients have more severe disease and higher mortality. CRP at 48 h can be used as a predictive tool |
| Mushtaq, 2021 September[ | H (HSCT) | Evaluate the impact of SARS-CoV-2 in HSCT and CAR T cell therapy recipients | 58 HCT/CAR T cell therapy patients (32 allogeneic HSCT, 23 autologous HSCT) | Single-centre prospective study (March–May 2021) | COVID-19 caused significant mortality in patients undergoing HCT and CAR T cell therapy, especially among allogenic HCT recipients |
| Nakamura, 2020 November[ | S, H | Evaluate the association between clinical outcomes and potential prognostic factors | 32 | Retrospective study (January–May 2020) | Associations with mortality – lymphocyte count, albumin, LDH, serum ferritin and CRP on admission. Patients who received cytotoxic chemotherapy recently or were treated with chemotherapy had a poor prognosis and prolonged periods of viral shedding |
| Nie, 2020 November[ | S (lung) | Determine the clinical characteristics and risk factors for in-hospital mortality of lung cancer patients with COVID-19 | 45 | Multicentre retrospective study (January–May 2020) | Lung cancer patients – atypical presentation of COVID-19. Associations with increased risk of in-hospital mortality – prolonged PT and elevated high-sensitivity cardiac troponin I |
| Pinato, 2020 July[ | S, H | Describe the outcomes in cancer patients during the initial outbreak of COVID-19 in Europe | 204 | Retrospective, multicentre observational study (February–April 2020) | Associations with mortality – age ≥65 y, multiple comorbidities. No associations – tumour stage, disease activity, provision of active anticancer therapy at COVID-19 diagnosis |
| Ramachandran, 2020 October[ | S, H | Compare clinical characteristics and outcomes of patients with and without a cancer history who were infected with COVID-19 | Cancer 53; non-cancer 135 | Retrospective observational study (March–April 2020) | Cancer patients – higher levels of lactic acidosis, CRP, LDH and ALP vs non-cancer patients. Age ≥60 y – rapid clinical deterioration. Higher mortality – age ≥60 y, especially when they had concomitant hypertension and elevated levels of CRP and LDH |
| Rogado, 2020 August[ | S (lung) | Determine whether there is a difference in incidence and severity of COVID-19 infection in lung cancer patients | 17 | Retrospective study (March–April 2020) | Lung cancer patients had a higher mortality rate than the general population |
| Rogado, 2020 May[ | S | Describe COVID-19 cumulative incidence, treatment outcome, mortality and associated risk factors | 45 | Retrospective study. Reviewed medical records of cancer patients admitted at an oncology department between 1 February and 7 April 2020 (February–April 2020) | Cancer patients – vulnerable to COVID-19, increased complications. Indicators of mortality – severity of the infection at admission, elderly patients |
| Rogiers Aljosja, 2021 January[ | S (mainly melanoma, non-small cell lung cancer, renal cell carcinoma) | Determine clinical impact of COVID-19 on patients with cancer treated with ICIs | 110 | Multicentre, retrospective, cohort study. 19 centres across 9 countries (Australia, Canada, France, Germany, Italy, Switzerland, The Netherlands, UK and USA) (March–May 2020) | Cancer patients – higher risk of severe COVID-19 infection vs individuals without comorbidities. Treatment with ICI not associated with severe COVID-19 infection in patients with cancer. Increased risk for hospital admission – treatment with combination ICI and the presence of COVID-19 symptoms |
| Russell, 2020 July[ | S, H | Determine factors affecting COVID-19 outcomes in cancer patients | 156 | Retrospective study (February–May 2020) | Associations with severe COVID-19 – initial cancer diagnosis >24 months before COVID-19, presenting with fever, dyspnoea, GI symptoms and higher levels of CRP. Associations with COVID-19 death – Asian ethnicity, receiving palliative treatment, having an initial cancer diagnosis >24 months before, dyspnoea and increased CRP levels. Inverse association observed with increased levels of albumin |
| Rüthrich, 2020 November[ | S, H | Determine the clinical characteristics and outcomes | Cancer: 435; non-cancer 2636 | Retrospective study (March–August 2020) | Associations of higher mortality – male sex, advanced age and active malignancy. Outcome of COVID-19 comparable after adjusting for age, sex and comorbidities for cancer vs non-cancer patients |
| Safari, 2021 August[ | S, H | Investigate the epidemiology of cancer patients and identify risk factors affecting their mortality | 66 | Retrospective cohort study of hospitalized patients with cancer and COVID-19 in Hamadan (2020) | Factors influencing death – nausea, mechanical ventilation, admission to the ICU and length of hospital stay in the ward |
| Sharma, 2021 March[ | H (allogeneic HSCT recipients) | Describe the characteristics and outcomes of HSCT recipients after developing COVID-19 | 318 | Observational cohort study (March–August 2020) | Recipients of autologous and allogeneic HSCT – poor survival. Associations with higher risk of mortality – age ≥50 y, male sex, development of COVID-19 ≤12 months after transplantation. Disease indication of lymphoma associated with a higher risk of mortality vs plasma cell disorder/myeloma |
| Sorouri, 2020 December[ | S, H | Determine the clinical characteristics, outcomes and risk factors for mortality in hospitalized patients with COVID-19 and cancer | Cancer 53; non-cancer 106 | Case–control study (February–April 2020) | Associations with mortality – dyspnoea, history of cancer, impaired consciousness level, tachypnoea, tachycardia, leucocytosis and thrombocytopenia. Haematologic cancer had a higher mortality than solid tumours (63% vs 37%) |
| Sun, 2021 January[ | S, H | Outcomes in cancer compared with non-cancer patients who got COVID-19 | Cancer 67; non-cancer 256 | Retrospective study. Cancer patients and non-cancer patients were compared (June 2020) | Associations with higher hospitalization and mortality – smoking status, comorbidities and a diagnosis of cancer |
| Tian, 2020 July[ | S, H (malignant solid tumours and haematologic malignancy) | Determine clinical features and determine risk factors of COVID-19 disease severity for patients with cancer and COVID-19 | 232 | Multicentre, retrospective, cohort study (January–March 2020) | Patients with cancer – severe COVID. Risk factors – elevated TNF-α and NT-proBNP and decreased CD4+ T cells or albumin:globulin ratio, advanced tumour stage (previously reported risk factors of older age; elevated IL-6, procalcitonin and D-dimer; and decreased lymphocytes) |
| Trapani, 2020 December[ | S (solid organ transplantation recipients) | Compare risk of infection, hospitalization and admission in the ICU and mortality among solid organ transplant recipients and non-solid organ transplant recipients who got COVID-19 | 450 | Nationwide population-based study. Assessed the cumulative incidence and outcome of COVID-19 in solid organ transplant recipients and compared the results with those of COVID-19 non-transplanted patients (January–June 2020) | Higher mortality (30.6%) in transplant patients than in non-solid organ transplant recipients (15.4%). Solid organ transplant recipients – higher risk of infection, hospitalization and admission in the ICU and mortality vs non-solid organ transplant recipients |
| Wang, 2020 May[ | S, H | Assess the clinical characteristics and outcomes of COVID-19-infected cancer patients | 283 | Retrospective study. Data of cancer patients admitted to 33 designated hospitals for COVID-19 in Hubei province, China (December 2019–March 2020) | Associations with worse outcome – current cancer patients (vs former cancer patients), lymphohaematopoietic malignancies. Mortality higher among patients receiving recent chemotherapy (33%), surgery (26%), other anti-tumour treatments (19%) and no anti-tumour treatment (15%) |
| Wang, 2020 December[ | S, H | Investigate how patients with specific types of cancer are at risk for COVID-19 infection and its adverse outcomes and to study cancer-specific race disparities for COVID-19 infection | 1200 | Retrospective case–control study (August 2020) | Patients with cancer had a high risk for COVID-19 infection and worse outcomes. This was further exacerbated among African Americans |
| Yang, 2020 May[ | S | Determine clinical characteristics and outcomes of cancer patients with COVID‐19 | 52 | Retrospective study (January–April 2020) | Cancer patients had a higher risk of COVID-19 vs the general population. Complications – liver injury, ARDS, sepsis, myocardial injury, renal insufficiency and MODS are common in cancer patients |
| Yang, 2020 July[ | S, H | Describe clinical characteristics and outcomes of patients with cancer and COVID-19 and examine risk factors for mortality | 205 | Retrospective, multicentre, cohort study (January–March 2020) | Poor prognosis (death during admission to hospital) – haematologic malignancies (vs solid tumours), receiving chemotherapy within 4 weeks before symptom onset and male sex were risk factors |
| Zhang, 2020 October[ | S (breast) | Evaluate characteristics and outcomes of breast cancer patients infected with COVID-19 | 35 | Retrospective study. Five designated tertiary hospitals for the treatment of COVID-19 in Wuhan, China (January–May 2020) | Breast cancer patients had less severe disease compared with other cancer patients when infected with COVID-19 |
| Zhang, 2020 July[ | S | Determine clinical characteristics of COVID-19-infected cancer patients and assess the risk factors associated with severe events | 28 | Retrospective cohort study (January–February 2020) | Cancer patients – poor outcomes. Risk factors for severe disease – last anti-tumour treatment within 14 d, patchy consolidation on CT on admission |
| Zhou, 2020 July[ | H | Determine the clinical characteristics of haematologic patients who were infected with COVID-19 | 9 | Retrospective study (February 2020) | Patients had atypical clinical features, defective viral clearance and a lower level of SARS-CoV-2-specific antibodies |
AKI: acute kidney injury; ALP: alkaline phosphatase; ARDS: acute respiratory distress syndrome; CAR: chimeric antigen receptor; CKD: chronic kidney disease; CRP: C-reactive protein; CT: computed tomography; CVD: cardiovascular disease; ESR: erythrocyte sedimentation rate; GI: gastrointestinal; H: haematologic cancer; HCT: haematocrit; HSCT: haematopoietic stem cell transplant; ICI: immune checkpoint inhibitor; IL: interleukin; LDH: lactate dehydrogenase; MODS: multiorgan dysfunction syndrome; NK: natural killer; NT-proBNP: N-terminal brain natriuretic peptide; PT: prothrombin time; R-CHOP: rituximab, cyclophosphamide, hydroxydaunorubicin, vincristine sulphate and prednisone; S: solid cancer; SACT: systemic anticancer therapy; TNF: tumour necrosis factor.
Studies on SARS-CoV-2-related immune responses in cancer patients
| First author, year and month (country) | Type of cancer | Objective | Cancer cohort size | Methodology and duration of study | Significant findings |
|---|---|---|---|---|---|
| Abdul-Jawad, 2021 January[ | S, H | Determine how the immune system is affected by SARS-CoV-2 infection of cancer patients | 41 (23 S, 18 H) | Prospective study (March–May 2020) | Haematologic malignancies – heterogeneous humoral responses, exhausted T cell phenotype and high prevalence of prolonged virus shedding. Recovered haematologic cancer patients – lingering immunological legacies. Recovered solid cancer patients’ immunophenotypes almost similar to those of non-virus-exposed cancer patients |
| Annika, 2021 September[ | S, H | Compare humoral and cellular immunity against SARS-CoV-2 in solid and haematologic cancer patients | 357 | Prospective, longitudinal cohort study (May 2020–March 2021) | Solid malignancies – capable of developing humoral and cellular immunity against SARS-CoV-2. Haematologic malignancies – impaired humoral response associated with malignancy type and anti-CD20 treatments |
| Bange, 2021 May[ | H | Determine immune parameters that lead to clinical outcomes | 100 | Prospective observational cohort study of patients with cancer who were hospitalized with COVID-19 (April–September 2020) | Patients with cancer – significantly reduced SARS-CoV-2-specific IgG and IgM antibodies than patients without cancer; most prominent in haematologic cancer patients; solid cancer patients had IgG and IgM antibody responses that were more similar to patients without cancer |
| Esperança, 2021 May[ | S, H | Determine the humoral immune response of patients with cancer against SARS-CoV-2 | 72 (19 cancer, 53 controls) | Single-centre, retrospective study (March–June 2020) | Patients with cancer – weaker SARS-CoV-2 antibody response compared with those without cancer. Associations with persistently weak serological responses – treatment with chemotherapy within 14 d before positivity |
| Hempel, 2020 January[ | S, H | Analyse development of antibodies in patients with cancer following SARS-CoV-2 | 77 | Multicentre, prospective study (April 2020) | Patients with cancer had poorly developed antibodies following infection |
| Huang, 2021 February[ | H | Study underlying immune mechanisms leading to increased mortality in cancer patients with COVID-19 | Cancer 106, non-cancer controls 113 | Prospective study (April–September 2020) | Haematologic cancer – significant impairment of B cells and SARS-CoV-2-specific antibody responses. Solid cancer – immune phenotype similar to non-cancer patients. Even in haematologic cancers if preserved CD8 T cells they had a lower viral load and mortality. Even if depletion of B cells with anti-CD20 therapy resulted in complete impairment of SARS-CoV-2-specific IgG and IgM antibodies, mortality was not increased if adequate CD8 T cells were present |
| Huang, 2020 September[ | S, H | Describe the characteristics, screening methods and outcomes of cancer patients with asymptomatic COVID-19 infection | 16 | Retrospective study (February–April 2020) | Lymphocyte counts were normal in all asymptomatic carriers (host immunity of asymptomatic carriers is not significantly disrupted by COVID-19) |
| Liu, 2020 June[ | S, H | Compare the antibody response to SARS-CoV-2 in cancer patients and non-cancer patients | Cancer 40, non-cancer 1430 | Prospective study (February–April 2020) | Prevalence of IgG antibodies to SARS-CoV-2 in cancer patients with COVID-19 was much lower than in patients without cancer |
| Marra, 2020 January[ | S, H | Determine seroconversion rates of cancer patients and COVID-19 | Cancer 61, non-cancer 105 (86 PCR positive) | Multicentre, observational, prospective study (March–May 2020) | No difference in SARS-CoV-2-specific IgG antibody detection in cancer patients and healthy subjects |
| Paschold, 2020 October[ | S, H | Determine SARS-CoV-2-specific antibody rearrangements of immune systems of cancer patients in order to explain the outcome | Cancer 500, healthy controls 200 | Prospective study (July 2020) | B cell response restriction in aging and cancer |
| Solodky, 2020 May[ | S, H | Compare the SARS-CoV-2 antibodies in cancer patients versus healthcare workers after symptomatic COVID-19 | 85 | Retrospective study (March–April 2020) | Seroconversion rate significantly lower in cancer patients. Antibodies almost undetectable in patients receiving cancer treatments in the month before antibody testing |
| Thakkar, 2021 March[ | S, H | Evaluate the rate of seroconversion for SARS-CoV-2 IgG for patients with cancer and its association with the type of malignancy and type of anticancer therapy | 261 | Observational, retrospective exploratory cohort study (March–September 2020) | Significantly reduced (absent) seroconversion observed in haematologic malignancies, patients receiving anti-CD20 therapy, CAR T cell therapy and stem cell transplant |
CAR: chimeric antigen receptor; H: haematologic cancer; PCR: polymerase chain reaction; S: solid cancer.
Studies on the effect of COVID-19 on cancer services
| First author, year and month (country) | Type of cancer | Objective | Cancer cohort size | Methodology and duration of study | Significant findings |
|---|---|---|---|---|---|
| Blay, 2021 April[ | S | Determine impact of COVID-19 on cancer patient management | N/A | Retrospective study. The number of patients diagnosed and treated within 17 of the 18 Uni cancer centres was collected in 2020 and compared with the same periods between 2016 and 2019 (January–July 2020) | Delays in cancer patient management – only for newly diagnosed patients, more frequently in women, for breast cancer, prostate cancer, and non-metastatic cancers |
| Dinmohamed, 2020 April[ | N/A | Evaluate the impact of the COVID-19 pandemic on cancer diagnosis | N/A | Retrospective observational study (February–April 2020) | Significant decrease in cancer diagnoses mainly in skin cancers. Probable causes for barriers in cancer diagnosis – barriers to consulting a GP, GP consultations for non-acute issues transitioned to telehealth, hospitals postponed diagnostic evaluation and temporary discontinuation of national screening programmes for breast, colorectal, and cervical cancer |
| Gathani, 2020 November[ | S (breast) | Analyse the impact on diagnosis due to COVID-19 by comparing activity for breast cancer in the first 6 months of 2020 compared with the same time period in 2019 | N/A | Retrospective observational study (January–June 2020) | Number of breast cancers diagnosed during the first half of 2020 is not significantly low compared with the first half of 2019 |
| Guven, 2020 July[ | S, H | Evaluate the early changes in the inpatient and outpatient oncology clinics | N/A | Retrospective study. Patients admitted to four medical centres in Massachusetts were recruited (March–May 2020) | Significant decrease in newly diagnosed patients, patients having elective interventional procedures and patients in palliative care services. The frequency of hospitalisations for chemotherapy was higher than in previous years |
| Jazieh, 2020 September[ | N/A | Evaluate the impact of the COVID-19 pandemic on cancer care worldwide | N/A | Cross-sectional study (April–May 2020) | Cancer care affected worldwide. Main reasons for restricted cancer care – overwhelmed system, lack of personal protective equipment, staff shortage and restricted access to medications |
| Juanjuan, 2020 October[ | S (breast) | Analyse the psychological status of patients with breast cancer during the pandemic | 658 | Retrospective study. Evaluated patients with breast cancer recruited from multiple breast cancer centres in Hubei Province and assessed the psychological impact by assessing anxiety, depression, distress and insomnia (February 2020) | High rates of anxiety, depression, distress and insomnia were observed. Independent factors associated with anxiety – poor general condition, shorter duration after breast cancer diagnosis, aggressive breast cancer molecular subtypes and close contact with patients with COVID-19. Factors independently associated with depression – poor general condition and central venous catheter flushing delay. Independent factors associated with insomnia – poor general condition. Independent factors associated with distress – poor physical condition and treatment discontinuation |
| Lai, 2020 June[ | N/A | Evaluate the impact of the COVID-19 pandemic on cancer services | 3 862 012 | Multicentre retrospective observational study (through April 2020) | Decreases in admissions for chemotherapy and urgent referrals for early cancer diagnosis |
| Maringe, 2020 August[ | S (breast, colorectal and oesophageal cancer and lung cancer) | Estimate the impact of delays in diagnosis on cancer survival outcomes in four major tumour types | 32 583 patients with breast cancer, 24 975 with colorectal cancer, 6744 with oesophageal cancer and 29 305 with lung cancer | National population-based modelling study (retrospective observational and modelling) (March 2020–March 2021) | An increase in the number of avoidable cancer deaths is expected as a result of diagnostic delays due to the pandemic in the UK |
| Morris, 2021 March[ | S (colorectal) | Investigate the impact of the COVID-19 pandemic on the detection and management of colorectal cancer in England | N/A | Retrospective observational study. Used data from four population-based datasets spanning NHS England (National Cancer Waiting Time Monitoring, Monthly Diagnostic, Secondary Uses Service Admitted Patient Care and the National Radiotherapy datasets) (January 2020–October 2020) | Reduction in the number of people referred, diagnosed and treated for colorectal cancer. Reduced number of colonoscopies performed. Reduction in patients receiving surgery. Lower proportion of laparoscopic and greater proportion of stoma-forming procedures. For rectal cancer, increase in the use of neoadjuvant radiotherapy due to a greater use of short-course regimens |
| Patt, 2020 November[ | N/A | Evaluate the impact of COVID-19 on the US cancer population, including identification of new patients, access to care, and disruption of treatment | N/A | Retrospective observational study (March–July 2020) | Decreases and delays in identifying new cancers, delivery of treatment, cancer screenings, visits, therapy and surgeries. Mastectomies, colectomies and prostatectomies mainly affected |
| Rutter, 2020 July[ | S (GI cancer) | Analyse the impact of the COVID-19 pandemic on endoscopy services and endoscopic cancer diagnosis | N/A | Retrospective study. The average weekly number of cancers, proportion of missing cancers and cancer detection rates were calculated (January–May 2020) | Reduction in endoscopic services and a resultant reduction in cancer detection |
| Sozutek, 2021 February[ | S (GI cancer surgery) | Evaluate the feasibility of performing elective GI cancer surgery during the COVID-19 pandemic | 176 patients | Observational unicentric cohort study. Conducted to evaluate whether surgery could be safely performed during the COVID-19 pandemic (March–November 2020) | GI cancer surgery can be safely performed even within a pandemic hospital if proper isolation measures can be achieved for both patients and health workers |
| Van Haren, 2021 April[ | S (lung) | Examine the impact of COVID-19 on lung cancer screening and subsequent cancer diagnosis | N/A | Prospective study. Analysis of the prospective institutional low-dose CT screening database (March–July 2020) | Significant disruption in lung cancer screening with a resultant decrease in the number of new patients screened and an increase in the proportion of nodules suspicious for malignancy once screening was resumed |
| Vanni, 2020 June[ | S (breast) | Estimate the impact of anxiety among breast cancer patients due to COVID-19 | 160 | Retrospective study (January–March 2020) | Higher rates of procedure refusal and surgical refusal. Infection risk was the primary reason for refusal |
| Wang, 2020 July[ | S, H | Explore mental health problems in patients diagnosed with cancer during the COVID-19 pandemic | 6213 | Cross-sectional study (April 2020) | High prevalence of depression, anxiety, PTSD and hostility. Risk factors for mental health problems – history of mental disorder, excessive alcohol consumption, higher frequency of worrying about cancer management due to COVID-19, higher frequency of a feeling of overwhelming psychological pressure from COVID-19 and a higher level of fatigue and pain. Only 1.6% sought psychological counselling during COVID-19. Protective factors associated with a lower risk of mental health problems among cancer patients – better quality of life, good relationships with family members |
| Zadnik, 2020 July[ | N/A | Analyse whether cancer diagnosis and management were affected during the COVID-19 epidemic in Slovenia | N/A | Retrospective observational study. Used data from the Slovenian Cancer Registry (November 2019–May 2020) | Significant decrease in first referrals for oncological services, first visits, imaging studies and cancer notifications |
CT: computed tomography; GI: gastrointestinal; GP: general practitioner; H: haematologic cancer; N/A: not applicable; PTSD: post-traumatic stress disorder; S: solid cancer.