Covid-19 in patients with hematological and solid cancers at a Comprehensive Cancer Center in Germany

A hidden burden of disease in a specific group: Evaluation of COVID-19 seroconversion rates in pediatric patients with leukemia

BACKGROUND

SARS-CoV-2, a respiratory viral disease, is thought to have a more severe course in patients with malignancy and low immune systems.

METHODS

This prospective single-center study was conducted at the University of Health Sciences Dr Behçet Uz Children's Hospital from September 22 to December 31, 2021. Asymptomatic COVID-19 transmission rates were assessed using SARS-CoV-2 serology in patients with leukemia who had no history of COVID-19 infection.

RESULTS

Among the 54 patients, 19 (35.2%) were females and 35 (64.8%) were males. The median age was 5.5 years (min 6 months, max 17 years). Forty-nine (90.5%) of the leukemia patients had acute lymphoblastic leukemia, while 5 (9.5%) had acute myeloid leukemia. Five of the 54 patients had a history of COVID-19 or contact with a positive person. SARS-CoV-2 IgG positivity was detected in 18 (36.7%) of 49 patients with no history of COVID-19 infection.

DISCUSSION

Leukemia patients have a high seroconversion for SARS-CoV-2 without showing any symptoms supporting the asymptomatic course of COVID-19 infection in this risk group.

CONCLUSION

As a result, patients with leukemia may have a high rate of COVID-19 seroconversion without showing symptoms.

Management of patients with multiple myeloma and COVID-19 in the post pandemic era: a consensus paper from the European Myeloma Network (EMN)

In the post-pandemic COVID-19 period, human activities have returned to normal and COVID-19 cases are usually mild. However, patients with multiple myeloma (MM) present an increased risk for breakthrough infections and severe COVID-19 outcomes, including hospitalization and death. The European Myeloma Network has provided an expert consensus to guide patient management in this era. Vaccination with variant-specific booster vaccines, such as the bivalent vaccine for the ancestral Wuhan strain and the Omicron BA.4/5 strains, is essential as novel strains emerge and become dominant in the community. Boosters should be administered every 6-12 months after the last vaccine shot or documented COVID-19 infection (hybrid immunity). Booster shots seem to overcome the negative effect of anti-CD38 monoclonal antibodies on humoral responses; however, anti-BCMA treatment remains an adverse predictive factor for humoral immune response. Evaluation of the immune response after vaccination may identify a particularly vulnerable subset of patients who may need additional boosters, prophylactic therapies and prevention measures. Pre-exposure prophylaxis with tixagevimab/cilgavimab is not effective against the new dominant variants and thus is no longer recommended. Oral antivirals (nirmatrelvir/ritonavir and molnupiravir) and remdesivir are effective against Omicron subvariants BA.2.12.1, BA.4, BA.5, BQ.1.1 and/or XBB.1.5 and should be administered in MM patients at the time of a positive COVID-19 test or within 5 days post symptoms onset. Convalescent plasma seems to have low value in the post-pandemic era. Prevention measures during SARS-CoV-2 outbreaks, including mask wearing and avoiding crowded places, seem prudent to continue for MM patients.

Multidisciplinary tumor board analysis: validation study of a central tool in tumor centers

The established standard to ensure state-of-the-art cancer treatment is through multidisciplinary tumor boards (TBs), although resource- and time-intensive. In this validation study, the multiple myeloma (MM)-TB was reexamined, aiming to validate our previous (2012-2014) results, now using the TB data from March 2020 to February 2021. We assessed MM-TB protocols, physicians' documentation, patient, disease, remission status, progression-free survival (PFS), and overall survival (OS) as left-truncated survival times. Moreover, TB-adherence, level of evidence according to grade criteria, time requirements, study inclusion rates, and referral satisfaction were determined. Within a 1-year period, 312 discussed patients were documented in 439 TB protocols. Patient and disease characteristics were typical for comprehensive cancer centers. The percentages of patients discussed at initial diagnosis (ID), with disease recurrence or in need of interdisciplinary advice, were 39%, 28%, and 33%, respectively. Reasons for the MM-TB presentation were therapeutic challenges in 80% or staging/ID-defining questions in 20%. The numbers of presentations were mostly one in 73%, two in 20%, and three or more in 7%. The TB adherence rate was 93%. Reasons for non-adherence were related to patients' decisions or challenging inclusion criteria for clinical trials. Additionally, we demonstrate that with the initiation of TBs, that the number of interdisciplinarily discussed patients increased, that TB-questions involve advice on the best treatment, and that levels of compliance and evidence can be as high as ≥ 90%. Advantages of TBs are that they may also improve patients', referrers', and physicians' satisfaction, inclusion into clinical trials, and advance interdisciplinary projects, thereby encouraging cancer specialists to engage in them.

SARS-CoV-2 Virus in Cancer Patients: A New Unknown in an Unsolved Equation

INTRODUCTION

Cancer patients are more susceptible to infections, and infection can be more severe than in patients without cancer diagnosis. We conducted this retrospective study in patients admitted for SARS-CoV-2 infection in order to find differences in inflammatory markers and mortality in cancer patients compared to others.

METHODS

We reviewed the electronic records of patients admitted for SARS-CoV-2 infection confirmed by PCR from March to September 2020. Data on socio-demographics, comorbidities, inflammatory makers, and cancer-related features were analyzed.

RESULTS

2,772 patients were admitted for SARS-CoV-2, to the Hospital Universitario Ramón y Cajal in Madrid during this period. Of these, 2,527 (91%) had no history of neoplastic disease, 164 (5.9%) patients had a prior history of cancer but were not undergoing oncological treatment at the time of infection, and 81 (2.9%) were in active treatment. Mortality in patients without a history of cancer was 19.5%, 28.6% for patients with a prior history of cancer, and 34% in patients with active cancer treatment. Patients in active oncology treatment with the highest mortality rate were those diagnosed with lung cancer (OR 5.6 95% CI: 2.2-14.1). In the multivariate study, active oncological treatment (OR 2.259 95% CI: 1.35-3.77) and chemotherapy treatment (OR 3.624 95% CI: 1.17-11.17), were statistically significant factors for the risk of death for the whole group and for the group with active oncological treatment, respectively.

CONCLUSION

Cancer patients on active systemic treatment have an increased risk of mortality after SARS-CoV-2 infection, especially with lung cancer or chemotherapy treatment.

Red cell distribution width, a predictive factor in immunocompromised patients with COVID-19: A comparison retrospective study between cancer and kidney transplant patients

We aimed to review the records of cancer and kidney transplant patients of out of 1135 COVID-19 patients, who were referred to our hospital (Valiasr) in Zanjan, from March 16th, 2020, to June 11th, 2020. This was single-center, historical cohort study. Patients were divided into different subgroups and compared of disease outcomes. The only predictor of death was lactate dehydrogenase (LDH). The rate of red cell distribution width (RDW) in patients with active cancer was higher than kidney transplant patients and was statistically significant. There was no statistically significant difference in mortality between active and non-active cancer groups. Female sex and low SpO2 has increased the chances of ICU admission. Patients with active cancer generally have severe and more complicated disease and RDW can be a predictable option.

Outcomes of Cancer Patients with COVID-19 in a Hospital System in the Chicago Metropolitan Area

Patients with a history of malignancy have been shown to be at an increased risk of COVID-19-related morbidity and mortality. Poorer clinical outcomes in that patient population are likely due to the underlying systemic illness, comorbidities, and the cytotoxic and immunosuppressive anti-tumor treatments they are subjected to. We identified 416 cancer patients with SARS-CoV-2 infection being managed for their malignancy at Northwestern Medicine in Chicago, Illinois, between March and July of 2020. Seventy-five (18.0%) patients died due to COVID-related complications. Older age (>60), male gender, and current treatment with immunotherapy were associated with shorter overall survival. Laboratory findings showed that higher platelet counts, ALC, and hemoglobin were protective against critical illness and death from COVID-19. Conversely, elevated inflammatory markers such as ferritin, d-dimer, procalcitonin, CRP, and LDH led to worse clinical outcomes. Our findings suggest that a thorough clinical and laboratory assessment of infected patients with cancer might help identify a more vulnerable population and implement more aggressive proactive strategies.

Effect of cancer on outcome of COVID-19 patients: a systematic review and meta-analysis of studies of unvaccinated patients

Background:

Since the beginning of the SARS-CoV-2 pandemic, cancer patients affected by COVID-19 have been reported to experience poor prognosis; however, a detailed quantification of the effect of cancer on outcome of unvaccinated COVID-19 patients has not been performed.

Methods:

To carry out a systematic review of the studies comparing the outcome of unvaccinated COVID-19 patients with and without cancer, a search string was devised which was used to identify relevant publications in PubMed up to December 31, 2020. We selected three outcomes: mortality, access to ICU, and COVID-19 severity or hospitalization. We considered results for all cancers combined as well as for specific cancers. We conducted random-effects meta-analyses of the results, overall and after stratification by region. We also performed sensitivity analyses according to quality score and assessed publication bias.

Results:

For all cancer combined, the pooled odds ratio (OR) for mortality was 2.32 (95% confidence interval [CI] 1.82–2.94, I² for heterogeneity 90.1%, 24 studies), that for ICU admission was 2.39 (95% CI 1.90–3.02, I² 0.0%, 5 studies), that for disease severity or hospitalization was 2.08 (95% CI 1.60–2.72, I² 92.1%, 15 studies). The pooled mortality OR for hematologic neoplasms was 2.14 (95% CI 1.87–2.44, I² 20.8%, 8 studies). Data were insufficient to perform a meta-analysis for other cancers. In the mortality meta-analysis for all cancers, the pooled OR was higher for studies conducted in Asia than studies conducted in Europe or North America. There was no evidence of publication bias.

Conclusions:

Our meta-analysis indicates a twofold increased risk of adverse outcomes (mortality, ICU admission, and severity of COVID-19) in unvaccinated COVID-19 patients with cancer compared to COVID-19 patients without cancer. These results should be compared with studies conducted in vaccinated patients; nonetheless, they argue for special effort to prevent SARS-CoV-2 infection in patients with cancer.

Funding:

No external funding was obtained.

Special aspects of medical care for cancer patients during COVID-19 pandemic

The biggest challenge for the World Health Organization today is the fight against the COVID-19 pandemic. The current situation prompted major adjustments in the system of cancer care. In this review, we investigate the aspects of cancer treatment and care during the pandemic, since in this setting oncological services face challenges in determining the feasibility of anticancer treatments while minimizing the risk of infection. Cancer patients are at a higher risk from COVID-19 disease. Therefore, oncological community is discussing on the priorities for providing cancer therapies and care and at the same time minimizing the risk of infection.

COVID-19 infection in patients with haematological disease - A tertiary centre experience from north India

This retrospective study was aimed to understand the clinical, laboratory, radiological parameters and the outcome of COVID-19 patients with underlying haematological disease. All patients with known haematological disease admitted with COVID-19-positive status from April to August 2020 in the COVID-19 facility of a tertiary care centre in north India, were included. Their medical records were analyzed for outcome and mortality risk factors. Fifty four patients, 37 males, were included in the study. Of these, 36 patients had haematological malignancy and 18 had benign disorder. Fever (95.5%), cough (59.2%) and dyspnoea (31.4%) were the most common symptoms. Nine patients had severe disease at diagnosis, mostly malignant disorders. Overall mortality rate was 37.0 per cent, with high mortality seen in patients with aplastic anaemia (50.0%), acute myeloid (46.7%) and lymphoblastic leukaemia (40.0%). On univariate analysis, Eastern Cooperative Oncology Group performance status >2 [odd ratio (OR) 11.6], COVID-19 severity (OR 8.2), dyspnoea (OR 5.7) and blood product transfusion (OR 6.4) were the predictors of mortality. However, the presence of moderate or severe COVID-19 (OR 16.6, confidence interval 3.8-72.8) was found significant on multivariate analysis. The results showed that patients with haematological malignancies and aplastic anaemia might be at increased risk of getting severe COVID-19 infection and mortality as compared to the general population.

Cancer-Related Characteristics Associated With Invasive Mechanical Ventilation or In-Hospital Mortality in Patients With COVID-19 Admitted to ICU: A Cohort Multicenter Study

Background

Coexistence of cancer and COVID-19 is associated with worse outcomes. However, the studies on cancer-related characteristics associated with worse COVID-19 outcomes have shown controversial results. The objective of the study was to evaluate cancer-related characteristics associated with invasive mechanical ventilation use or in-hospital mortality in patients with COVID-19 admitted to intensive care unit (ICU).

Methods

We designed a cohort multicenter study including adults with active cancer admitted to ICU due to COVID-19. Seven cancer-related characteristics (cancer status, type of cancer, metastasis occurrence, recent chemotherapy, recent immunotherapy, lung tumor, and performance status) were introduced in a multilevel logistic regression model as first-level variables and hospital was introduced as second-level variable (random effect). Confounders were identified using directed acyclic graphs.

Results

We included 274 patients. Required to undergo invasive mechanical ventilation were 176 patients (64.2%) and none of the cancer-related characteristics were associated with mechanical ventilation use. Approximately 155 patients died in hospital (56.6%) and poor performance status, measured with the Eastern Cooperative Oncology Group (ECOG) score was associated with increased in-hospital mortality, with odds ratio = 3.54 (1.60–7.88, 95% CI) for ECOG =2 and odds ratio = 3.40 (1.60–7.22, 95% CI) for ECOG = 3 to 4. Cancer status, cancer type, metastatic tumor, lung cancer, and recent chemotherapy or immunotherapy were not associated with in-hospital mortality.

Conclusions

In patients with active cancer and COVID-19 admitted to ICU, poor performance status was associated with in-hospital mortality but not with mechanical ventilation use. Cancer status, cancer type, metastatic tumor, lung cancer, and recent chemotherapy or immunotherapy were not associated with invasive mechanical ventilation use or in-hospital mortality.

Clinical characteristics, laboratory parameters and outcomes of COVID-19 in cancer and non-cancer patients from a tertiary Cancer Centre in India

BACKGROUND

There is paucity of data regarding clinical characteristics, laboratory parameters and outcomes of coronavirus disease (COVID-19) in cancer versus non-cancer patients, particularly from India.

MATERIALS AND METHODS

This was an observational, single-centre, retrospective analysis of patients with laboratory-confirmed COVID-19 hospitalised in our institution between 22 May 2020 and 1 December 2020. We compared baseline clinical characteristics, laboratory parameters and outcomes of COVID-19 (overall mortality, time to discharge) between cancer and non-cancer patients.

RESULTS

A total of 200 COVID-19 infection episodes were analysed of which 109 (54.5%) were patients with cancer and 91 (45.5%) were patients without cancer. The median age was 43 (interquartile range [IQR]:32-57), 51 (IQR: 33-62) and 38 (IQR: 31.5-49.3) years; of whole cohort, cancer and non-cancer patients, respectively. Comparison of outcomes showed that oxygen requirement (31.2% [95% CI: 22.6-40.7] vs. 17.6% [95% CI: 10.4-26.9]; p = 0.03), median time to discharge (11 days [IQR: 6.75-16] vs. 6 days [IQR: 3-9.75]; p < 0.001) and mortality (10.0% [95% CI: 5.2-17.3] vs. 1.1% [95% CI: 0.03-5.9]; p = 0.017) were significantly higher in patients with cancer. In univariable analysis, factors associated with higher mortality in the whole cohort included diagnosis of cancer (10.1% vs. 1.1%; p = 0.027; odds ratio [OR]: 7.04), age ≥60 (17.4% vs. 2.6%; p = 0.001; OR: 7.38), oxygen requirement (22% vs. 0.6%; p < 0.001; OR: 29.01), chest infiltrates (19.2% vs. 1.4%; p < 0.001; OR: 22.65), baseline absolute lymphocyte count <1 × 109 /L (10.8% vs. 1.9%; p = 0.023; OR:5.1), C-reactive protein >1 mg% (12.8% vs. 0%; p = 0.027; OR: 24.69), serum procalcitonin >0.05 ng/ml (22.65% vs. 0%; p = 0.004; OR: 4.49) and interleukin-6 >6 pg/ml (10.8% vs. 1.3%; p = 0.036; OR: 3.08). In multivariable logistic regression, factors significantly associated with mortality were oxygen requirement (p = 0.005; OR: 13.11) and high baseline procalcitonin level (p = 0.014; OR: 37.6).

CONCLUSION

Cancer patients with COVID-19 have higher mortality and require longer hospital stay. High procalcitonin levels and oxygen requirement during admission are other factors that affect outcomes adversely.

Risk of COVID-19 death in cancer patients: an analysis from Guy's Cancer Centre and King's College Hospital in London

BACKGROUND

Using an updated dataset with more patients and extended follow-up, we further established cancer patient characteristics associated with COVID-19 death.

METHODS

Data on all cancer patients with a positive reverse transcription-polymerase chain reaction swab for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) at Guy's Cancer Centre and King's College Hospital between 29 February and 31 July 2020 was used. Cox proportional hazards regression was performed to identify which factors were associated with COVID-19 mortality.

RESULTS

Three hundred and six SARS-CoV-2-positive cancer patients were included. Seventy-one had mild/moderate and 29% had severe COVID-19. Seventy-two patients died of COVID-19 (24%), of whom 35 died <7 days. Male sex [hazard ratio (HR): 1.97 (95% confidence interval (CI): 1.15-3.38)], Asian ethnicity [3.42 (1. 59-7.35)], haematological cancer [2.03 (1.16-3.56)] and a cancer diagnosis for >2-5 years [2.81 (1.41-5.59)] or ≥5 years were associated with an increased mortality. Age >60 years and raised C-reactive protein (CRP) were also associated with COVID-19 death. Haematological cancer, a longer-established cancer diagnosis, dyspnoea at diagnosis and raised CRP were indicative of early COVID-19-related death in cancer patients (<7 days from diagnosis).

CONCLUSIONS

Findings further substantiate evidence for increased risk of COVID-19 mortality for male and Asian cancer patients, and those with haematological malignancies or a cancer diagnosis >2 years. These factors should be accounted for when making clinical decisions for cancer patients.

Choosing the Right Therapy for Patients with Relapsed/Refractory Multiple Myeloma (RRMM) in Consideration of Patient-, Disease- and Treatment-Related Factors

Treatment of relapsed/refractory multiple myeloma (RRMM) is more complex today due to the availability of novel therapeutic options, mostly applied as combination regimens. immunotherapy options have especially increased substantially, likewise the understanding that patient-, disease- and treatment-related factors should be considered at all stages of the disease. RRMM is based on definitions of the international myeloma working group (IMWG) and includes biochemical progression, such as paraprotein increase, or symptomatic relapse with CRAB criteria (hypercalcemia, renal impairment, anemia, bone lesions). When choosing RRMM-treatment, the biochemical markers for progression and severity of the disease, dynamic of disease relapse, type and number of prior therapy lines, including toxicity and underlying health status, need to be considered, and shared decision making should be pursued. Objectively characterizing health status via geriatric assessment (GA) at each multiple myeloma (MM) treatment decision point has been shown to be a better estimate than via age and comorbidities alone. The well-established national comprehensive cancer network, IMWG, European myeloma network and other national treatment algorithms consider these issues. Ideally, GA-based clinical trials should be supported in the future to choose wisely and efficaciously from available intervention and treatment options in often-older MM adults in order to further improve morbidity and mortality.

Mortality in Cancer Patients With COVID-19 Who Are Admitted to an ICU or Who Have Severe COVID-19: A Systematic Review and Meta-Analysis

There are scarce data to aid in prognostication of the outcome of critically ill cancer patients with COVID-19. In this systematic review and meta-analysis, we investigated the mortality of critically ill cancer patients with COVID-19.

In 28 studies, pooled mortality in cancer patients with COVID-19 admitted to an ICU was not prohibitively high (60%)

Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis

BACKGROUND

A systematic review and meta-analysis was performed to estimate mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection.

METHODS

A systematic search of PubMed, up to 31 January 2021, identified publications reporting the case-fatality rate (CFR) among adult patients with solid or hematological malignancies and SARS-CoV-2 infection. The CFR, defined as the rate of death in this population, was assessed with a random effect model; 95% confidence intervals (CI) were calculated.

RESULTS

Among 135 selected studies (N = 33,879 patients), the CFR was 25.4% (95% CI 22.9%-28.2%). At a sensitivity analysis including studies with at least 100 patients, the CFR was 21.9% (95% CI 19.1%-25.1%). Among COVID-19 patients with lung (N = 1,135) and breast (N = 1,296) cancers, CFR were 32.4% (95% CI 26.5%-39.6%) and 14.2% (95% CI 9.3%-21.8%), respectively.

CONCLUSIONS

Patients with solid or hematological malignancies and SARS-CoV-2 infection have a high probability of mortality, with comparatively higher and lower CFRs in patients with lung and breast cancers, respectively.

Diagnostic, Clinical and Post-SARS-CoV-2 Scenarios in Cancer Patients with SARS-CoV-2: Retrospective Analysis in Three German Cancer Centers

Simple Summary

The study investigated diagnostic, clinical and post-SARS-CoV-2 scenarios in cancer patients with SARS-CoV-2 aiming to improve management of SARS-CoV-2 infections and cancer afterwards. Around half of patients were initially asymptomatic and were diagnosed with SARS-CoV-2 during routine or contact tracing screening. Of them, 33% developed COVID-19 lately. Eventually, predominant part of patients had asymptomatic SARS-CoV-2 or mild COVID-19 course. Lymphocytopenia preceding SARS-CoV-2 was associated with a significantly increased risk for severe or critical COVID-19 course. Commonly patients experienced a treatment delay post-SARS-CoV-2; one fifth developed progressive disease (PD) within that time and/or had to undergo therapy modifications following deterioration of the performance status or PD post-COVID-19. This study provides knowledge of real-life clinical courses of SARS-CoV-2 in oncology and contributes to improving therapeutic strategies for cancer patients in the COVID-19 pandemic.

Abstract

Oncologists face challenges in the management of SARS-CoV-2 infections and post-SARS-CoV-2 cancer treatment. We analyzed diagnostic, clinical and post-SARS-CoV-2 scenarios in patients from three German cancer centers with RT-PCR confirmed SARS-CoV-2 infection. Sixty-three patients with SARS-CoV-2 and hematologic or solid neoplasms were included. Thirty patients were initially asymptomatic, 10 of whom developed COVID-19 symptoms subsequently. Altogether 20 (32%) patients were asymptomatic, 18 (29%) had mild, 12 (19%) severe and 13 (20%) critical courses. Lymphocytopenia increased risk of severe/critical COVID-19 three-fold (p = 0.015). Asymptomatic course was not associated with age, remission status, therapies or co-morbidities. Secondary bacterial infection accompanied more than one third of critical COVID-19 cases. Treatment was delayed post-SARS-CoV-2 in 46 patients, 9 of whom developed progressive disease (PD). Cancer therapy was modified in 8 SARS-CoV-2 survivors because of deteriorating performance or PD. At the last follow-up, 17 patients had died from COVID-19 (n = 8) or PD (n = 9) giving an estimated 73% four-month overall survival rate. SARS-CoV-2 infection has a heterogenous course in cancer patients. Lymphocytopenia carries a significant risk of severe/critical COVID-19. SARS-CoV-2 disruption of therapy is as serious as SARS-CoV-2 infection itself. Careful surveillance will allow early restart of the anti-cancer treatment.

Comparison of the prognostic significance of 5 comorbidity scores and 12 functional tests in a prospective multiple myeloma patient cohort

BACKGROUND

Because of the various therapeutic options available for multiple myeloma (MM), remarkable interest exists today in individualized therapeutic concepts based on patients' fitness. The main objectives of this study were to compare different comorbidity scores and functional tests with respect to their impact on survival (overall survival [OS] and progression-free survival [PFS]); develop a time-efficient, MM-specific functional assessment (FA); and evaluate changes in patients' FA during treatment.

METHODS

The authors performed a prospective FA in 266 consecutive patients with MM at their initial diagnosis. This included 5 comorbidity scores and 12 commonly used geriatric functional tests. To evaluate changes in the course of treatment, the authors reassessed these 17 tests after ≥6 months. The entire analysis included 7327 FA tests.

RESULTS

On the basis of univariate and multivariate Cox regression analyses, the authors identified 4 of the 17 evaluated scores and functional tests as most relevant: the Revised Myeloma Comorbidity Index (R-MCI), Activity of Daily Living (ADL), the Mini-Mental State Examination (MMSE), and the quality-of-life 12-Item Short Form Health Survey Physical Composite Scale (SF-12 PCS). These showed precise group differences for fit, (intermediate-fit), and frail patients in OS and PFS: the 3-year OS rates were 90%, 74%, and 43% via the R-MCI for fit, intermediate-fit, and frail patients, respectively (P = .0006); 80% and 66% via the ADL for fit and frail patients, respectively (P = .0159); 78% and 48% via the MMSE for fit and frail patients, respectively (P = .0001); and 86% and 66% via the SF-12 PCS for fit and frail patients, respectively (P = .0091). In follow-up analyses, 16 of 17 FA tests improved, mostly in younger patients (<70 years old) and responding patients (partial remission or better).

CONCLUSIONS

Patients may recover from functional and physical limitations under applied MM therapy. The newly established MM-specific FA (via the R-MCI, ADL, MMSE, and SF-12 PCS) allows a precise evaluation of the prognosis and risk status in MM. Its use may improve treatment tolerability and should be validated to individualize MM treatment decisions in the future.

LAY SUMMARY

The authors performed a prospective functional assessment (FA) in 266 consecutive patients with multiple myeloma at their initial diagnosis. On the basis of univariate and multivariate Cox regression analyses, the authors identified 4 of 17 initially evaluated scores and functional tests as most relevant: the Revised Myeloma Comorbidity Index, Activity of Daily Living, the Mini-Mental State Examination, and the quality-of-life 12-Item Short Form Health Survey Physical Composite Scale. The authors checked the stability of the final model by applying forward and stepwise selection. To evaluate changes in the course of treatment, they reassessed these 17 tests in 165 patients after ≥6 months: 16 of the 17 FA tests improved, mostly in younger patients (<70 years old) and responding patients (partial remission or better).

Optimizing the Management of Cancer Patients Treated With Systemic Therapies During the COVID-19 Pandemic: The New Role of PCR and CT Scan

In late 2019 and early 2020, the world witnessed the outbreak of the SARS-CoV-2 (also referred as COVID-19) in Wuhan, China. Its rapid expansion worldwide and its contagiousness rate have forced the activation of several measures to contain the pandemic, mostly through confinement and identification of infected patients and potential contacts by testing.

Evaluation and characterization of HSPA5 (GRP78) expression profiles in normal individuals and cancer patients with COVID-19

HSPA5 (BiP, GRP78) has been reported as a potential host-cell receptor for SARS-Cov-2, but its expression profiles on different tissues including tumors, its susceptibility to SARS-Cov-2 virus and severity of its adverse effects on malignant patients are unclear. In the current study, HSPA5 has been found to be expressed ubiquitously in normal tissues and significantly increased in 14 of 31 types of cancer tissues. In lung cancer, mRNA levels of HSPA5 were 253-fold increase than that of ACE2. Meanwhile, in both malignant tumors and matched normal samples across almost all cancer types, mRNA levels of HSPA5 were much higher than those of ACE2. Higher expression of HSPA5 significantly decreased patient overall survival (OS) in 7 types of cancers. Moreover, systematic analyses found that 7.15% of 5,068 COVID-19 cases have malignant cancer coincidental situations, and the rate of severe events of COVID-19 patients with cancers present a higher trend than that for all COVID-19 patients, showing a significant difference (33.33% vs 16.09%, p<0.01). Collectively, these data imply that the tissues with high HSPA5 expression, not low ACE2 expression, are susceptible to be invaded by SARS-CoV-2. Taken together, this study not only indicates the clinical significance of HSPA5 in COVID-19 disease and cancers, but also provides potential clues for further medical treatments and managements of COVID-19 patients.

COVID-19 in cancer patients: clinical characteristics and outcome-an analysis of the LEOSS registry

Introduction

Since the early SARS-CoV-2 pandemic, cancer patients have been assumed to be at higher risk for severe COVID-19. Here, we present an analysis of cancer patients from the LEOSS (Lean European Open Survey on SARS-CoV-2 Infected Patients) registry to determine whether cancer patients are at higher risk.

Patients and methods

We retrospectively analyzed a cohort of 435 cancer patients and 2636 non-cancer patients with confirmed SARS-CoV-2 infection, enrolled between March 16 and August 31, 2020. Data on socio-demographics, comorbidities, cancer-related features and infection course were collected. Age-, sex- and comorbidity-adjusted analysis was performed. Primary endpoint was COVID-19-related mortality.

Results

In total, 435 cancer patients were included in our analysis. Commonest age category was 76–85 years (36.5%), and 40.5% were female. Solid tumors were seen in 59% and lymphoma and leukemia in 17.5% and 11% of patients. Of these, 54% had an active malignancy, and 22% had recently received anti-cancer treatments. At detection of SARS-CoV-2, the majority (62.5%) presented with mild symptoms. Progression to severe COVID-19 was seen in 55% and ICU admission in 27.5%. COVID-19-related mortality rate was 22.5%. Male sex, advanced age, and active malignancy were associated with higher death rates. Comparing cancer and non-cancer patients, age distribution and comorbidity differed significantly, as did mortality (14% vs 22.5%, p value < 0.001). After adjustments for other risk factors, mortality was comparable.

Conclusion

Comparing cancer and non-cancer patients, outcome of COVID-19 was comparable after adjusting for age, sex, and comorbidity. However, our results emphasize that cancer patients as a group are at higher risk due to advanced age and pre-existing conditions.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00277-020-04328-4.

Evidence-based management of COVID-19 in cancer patients: Guideline by the Infectious Diseases Working Party (AGIHO) of the German Society for Haematology and Medical Oncology (DGHO)

Since its first detection in China in late 2019 the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated infectious disease COVID-19 continue to have a major impact on global healthcare and clinical practice. Cancer patients, in particular those with haematological malignancies, seem to be at an increased risk for a severe course of infection. Deliberations to avoid or defer potentially immunosuppressive therapies in these patients need to be balanced against the overarching goal of providing optimal antineoplastic treatment. This poses a unique challenge to treating physicians. This guideline provides evidence-based recommendations regarding prevention, diagnostics and treatment of SARS-CoV-2 infection and COVID-19 as well as strategies towards safe antineoplastic care during the COVID-19 pandemic. It was prepared by the Infectious Diseases Working Party (AGIHO) of the German Society for Haematology and Medical Oncology (DGHO) by critically reviewing the currently available data on SARS-CoV-2 and COVID-19 in cancer patients applying evidence-based medicine criteria.

Covid-19 in patients with hematological and solid cancers at a Comprehensive Cancer Center in Germany

Background

Patients with cancer are considered a high‐risk group for viral pneumonia, with an increased probability of fatal outcome. Here, we investigated the clinical characteristics and outcome of patients with solid and hematological cancers and concomitant Covid‐19 at a Comprehensive Cancer Center in a Covid‐19 hotspot area in Germany.

Methods

We performed a retrospective single center cohort study of 39 patients with hematological and solid cancers who were hospitalized at the University Hospital Freiburg for Covid‐19. Using univariate and multivariate Cox regression models we compared time to severe events and overall survival to an age‐matched control cohort of 39 patients with confirmed Covid‐19 without a cancer diagnosis.

Results

In the cancer cohort 29 patients had a diagnosis of a solid tumor, and 10 had a hematological malignancy. In total, eight patients (21%) in the cancer and 14 patients (36%) from the noncancer cohort died during the observation period. Presence of a malignancy was not significantly associated with survival or time to occurrence of severe events. Major influences on mortality were high IL‐6 levels at Covid‐19 diagnosis (HR = 6.95, P = .0121) and age ≥ 65 years (HR = 6.22, P = .0156).

Conclusions

Compared to an age‐matched noncancer cohort, we did not observe an association between a cancer diagnosis and a more severe disease course or higher fatality rate in patients with Covid‐19. Patients with a hematological malignancy showed a trend towards a longer duration until clinical improvement and longer hospitalization time compared to patients with a solid cancer. Cancer per se does not seem to be a confounder for dismal outcome in Covid‐19.