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      Lymphocytopenia and Radiotherapy Treatment Volumes in the Time of COVID-19

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          Abstract

          Cancer patients have a higher risk of developing 2019 novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1]. Studies have also shown that these patients have a poorer prognosis, partly because they have a higher mean age than those without cancer [1,2]. However, immune suppression caused by the tumour and its treatment is also a plausible contributory factor [1]. This has meant that oncologists are carefully weighing the benefits of treatment offered to their patients against the risks posed by COVID-19. Apart from the use of remote visits with telephone- and video-based assessment, some of the measures advocated include not offering treatment with modest or equivocal potential gains in survival, such as adjuvant whole breast radiotherapy in patients at very low risk of developing local recurrence, and treatments with a high risk of immune suppression, for example neoadjuvant chemotherapy in muscle-invasive bladder cancer [3,4]. Deferring treatment in patients with good prognostic tumours with a low risk of progression, such as low- and intermediate-risk prostate cancer, has also been recommended [3]. When the benefit of treatment unequivocally outweighs the potential risks, protocols that have minimal hospital visits, such as hypofractionated radiotherapy regimens, and the lowest risk of immune suppression, for instance avoidance of concurrent chemotherapy with postoperative radiotherapy in head and neck cancers, are preferred [3,5]. Coronaviruses like SARS, respiratory syncytial virus and Ebola virus have been linked with lymphocytopenia as a clinical feature [6]. There is clearly a connection between RNA viral infections and lymphocytopenia, but whether it is cause or effect is unknown [6]. The effect can be profound and prolonged, with one study showing that it can take 4–5 weeks to recover [6]. A number of hypotheses exist to explain this phenomenon, including a direct infection of the lymphocytes resulting in apoptosis, lymphocyte sequestration in the lung where the pathological response is most evident or altered trafficking mediated by a cytokine storm [6]. Immune suppression may predispose to secondary infection, increasing the risk of morbidity and mortality [6]. There is also some evidence to suggest that perturbations of T cell subsets, in particular impaired activity of CD4+ T cells and overactivation and exhaustion of CD8+ T cells, eventually lead to a diminished host antiviral immunity. SARS-CoV-2 is a positive-sense, single-stranded RNA beta-coronavirus [7]. It contains a 30 kb genome encoding viral proteins in up to 14 open reading frames. Although a number of these proteins have been identified and work is being carried out looking at druggable targets, there is still much that is unknown about the mechanism and function of all the viral proteins that are produced [7]. Lymphocytopenia has been identified as an important adverse factor in COVID-19, as well as a negative prognostic biomarker in many malignancies [8,9]. COVID-19 patients with low lymphocyte counts have more severe disease and have a high risk of death from the infection [8]. It has been shown that a lymphocyte percentage of less than 5% of white cells by the second week of illness predicted death [8]. Although it has been shown that SARS-CoV-2 infects T lymphocytes, it is unclear if replication occurs within the lymphocytes [10]. As with some of the other coronavirus infections it is not definitively known whether lymphocytopenia in COVID-19 is a result of direct destruction of lymphocytes by the virus or a consequence of the cytokine storm that occurs in severe disease [8]. Nevertheless, it could be reasonably assumed that restoration of lymphocytes and their function would aid the immune response against COVID-19. As such, clinicians have been cautioned on the potential detrimental impact of the use of extracorporeal membrane oxygenation, even when it is used as a salvage option in patients with severe COVID-19 disease, as it could lead to significant depletion of circulating lymphocytes [11]. Although radiotherapy serves to enhance tumour immunogenicity and alters the tumour microenvironment to favour destruction by the immune system, it is also known to deplete circulating lymphocytes, as these cells are highly sensitive to radiotherapy-induced apoptosis. Pre-treatment lymphocytopenia, which has been identified as a poor prognostic factor in many malignancies, is probably a reflection of tumour-induced immune suppression [9]. In addition, it has been shown that post-treatment lymphocytopenia is associated with poorer outcomes in lung cancer patients treated with radical radiotherapy [12]. In this study, the dose delivered to the irradiated volume (described by the parameter integral body dose) was associated with lower post-treatment lymphocyte counts in lung cancer [12]. Therefore, radiation oncologists should be mindful of the possibility of radiotherapy-induced lymphocytopenia as a risk factor for severe COVID-19 disease in patients at risk of being exposed to the infection. Although there has been much guidance on patient selection and choice of fractionation, the definition of the optimal clinical target volume (CTV) during the pandemic has received little attention. Radiation oncologists define a high-risk CTV as the volume that comprises the radiologically visible tumour together with other tissues highly likely to contain tumour cells. This often includes tissues surrounding the visible tumour and adjacent lymph nodes. In some instances, a low-risk CTV is also defined and this volume encompasses tissues (often lymph nodes) at a lower risk of containing tumour cells than those within the high-risk CTV, but of sufficient risk to need prophylactic irradiation. Although the dose delivered to the low-risk CTV is significantly lower than that prescribed to the high-risk CTV, this results in an expanded total CTV. With this in mind, radiation oncologists should exercise caution when defining CTVs for radiotherapy during the time of the COVID-19 pandemic. Treatment strategies that result in an expanded CTV, especially where the evidence of benefit is uncertain, should be avoided, both to keep the risk of treatment-induced lymphocytopenia as low as possible and to reduce the risk of toxicity, which could result in additional hospital visits. During these extraordinary times, it may be wise to avoid prophylactic pelvic nodal radiotherapy in localised prostate and bladder cancer, as the evidence of benefit for such a practice in these tumours is fraught with controversy [13], [14]. Careful consideration should be given to prophylactic irradiation of para-aortic lymph nodes in locally advanced cervical cancer as its benefit is equivocal [15]. In head and neck cancer, where there is some evidence of efficacy with prophylactic lymph node irradiation, we advocate careful evaluation of the potential risks and benefits on a patient by patient basis [16]. We also support the recommendation against radiotherapy to the axillary lymph nodes in early breast cancer patients treated with wide local excision and sentinel lymph node biopsy and found to have one or two macrometastases [4]. There is a more compelling rationale for continuing to offer prophylactic radiotherapy to the internal mammary lymph nodes in patients with high-risk breast cancer (T4 and/or N2-3 disease), as absolute gains in disease-free survival has been shown [17]. However, we suggest carefully weighing the risks and benefits of internal mammary lymph node irradiation in patients with intermediate-risk disease (T3 and/or N1) and central or medial tumours on an individual basis. Another novel strategy that has been proposed to combat the cytokine storm associated with COVID-19 pneumonia is low-dose radiotherapy to lungs [18]. The rationale for this approach stems from data suggesting that at doses in the range of 0.3–1 Gy, irradiation of the lungs could result in a reduced inflammation relief of life-threatening symptoms in both bacterial and viral pneumonia. The published data suggest that the absolute risk of lymphocytopenia is associated with the pre-treatment lymphocyte count as well as the irradiated volume. Even though the prescribed dose is small, this would result in a large integral dose due to the large volume of irradiation and consequently would place patients at substantial risk of developing severe post-treatment lymphocytopenia, especially in a group of patients at high risk of pre-treatment lymphocytopenia. It is beholden to all radiation oncologists to follow the principle of ALARA and to use as low a dose and volume as is reasonably possible, if at all. If studies in this space are to go ahead, then it may be better to try partial lung irradiation or even splenic irradiation, as the spleen is a reservoir for the immune cells responsible for the cytokine storm associated with acute respiratory distress syndrome. Those of us who follow events on social media will have seen much discussion about the potential role of radiation for COVID-19 pneumonia. In unprecedented times, it is tempting to reach for the stars, but we must do so from a platform of science. Caution is also welcome in these challenging times. Very little has been published on the long-term effects of coronavirus infections on the population, especially on cell-mediated or humoral immunity. We must seize this opportunity to collect robust data where possible of the effects of COVID-19 on patterns of care and long-term outcomes for oncology patients. This way we will be prepared for the future. Declaration of Competing Interest The authors declare no conflict of interest.

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          Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

          Summary Background In late December, 2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China. A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV). As of Jan 26, 2020, more than 2000 cases of 2019-nCoV infection have been confirmed, most of which involved people living in or visiting Wuhan, and human-to-human transmission has been confirmed. Methods We did next-generation sequencing of samples from bronchoalveolar lavage fluid and cultured isolates from nine inpatients, eight of whom had visited the Huanan seafood market in Wuhan. Complete and partial 2019-nCoV genome sequences were obtained from these individuals. Viral contigs were connected using Sanger sequencing to obtain the full-length genomes, with the terminal regions determined by rapid amplification of cDNA ends. Phylogenetic analysis of these 2019-nCoV genomes and those of other coronaviruses was used to determine the evolutionary history of the virus and help infer its likely origin. Homology modelling was done to explore the likely receptor-binding properties of the virus. Findings The ten genome sequences of 2019-nCoV obtained from the nine patients were extremely similar, exhibiting more than 99·98% sequence identity. Notably, 2019-nCoV was closely related (with 88% identity) to two bat-derived severe acute respiratory syndrome (SARS)-like coronaviruses, bat-SL-CoVZC45 and bat-SL-CoVZXC21, collected in 2018 in Zhoushan, eastern China, but were more distant from SARS-CoV (about 79%) and MERS-CoV (about 50%). Phylogenetic analysis revealed that 2019-nCoV fell within the subgenus Sarbecovirus of the genus Betacoronavirus, with a relatively long branch length to its closest relatives bat-SL-CoVZC45 and bat-SL-CoVZXC21, and was genetically distinct from SARS-CoV. Notably, homology modelling revealed that 2019-nCoV had a similar receptor-binding domain structure to that of SARS-CoV, despite amino acid variation at some key residues. Interpretation 2019-nCoV is sufficiently divergent from SARS-CoV to be considered a new human-infecting betacoronavirus. Although our phylogenetic analysis suggests that bats might be the original host of this virus, an animal sold at the seafood market in Wuhan might represent an intermediate host facilitating the emergence of the virus in humans. Importantly, structural analysis suggests that 2019-nCoV might be able to bind to the angiotensin-converting enzyme 2 receptor in humans. The future evolution, adaptation, and spread of this virus warrant urgent investigation. Funding National Key Research and Development Program of China, National Major Project for Control and Prevention of Infectious Disease in China, Chinese Academy of Sciences, Shandong First Medical University.
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            Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study

            Dear Editor, An outbreak of an unknown infectious pneumonia has recently occurred in Wuhan, China. 1 The pathogen of the disease was quickly identified as a novel coronavirus (SARS-CoV-2, severe acute respiratory syndrome coronavirus 2), and the disease was named coronavirus disease-19 (COVID-19). 2 The virus has so far caused 78,959 confirmed cases and 2791 deaths in China according to the reports of government. COVID-19 has been spreading in many countries such as Japan, Korea, Singapore, Iran, and Italia. The clinical manifestation of COVID-19 include fever, cough, fatigue, muscle pain, diarrhea, and pneumonia, which can develop to acute respiratory distress syndrome, metabolic acidosis, septic shock, coagulation dysfunction, and organ failure such as liver, kidney, and heart failure. 1,3,4 Unfortunately, there is no effective medication other than comprehensive support. However, the mild type of COVID-19 patients can recover shortly after appropriate clinical intervention. The moderate type patients, especially the elderly or the ones with comorbidity, can worsen and became severe, indicating high mortality rate. 3,4 However, efficient indicators for the disease severity, therapeutic response and disease outcome have not been fully investigated. Once such indicators are present, reasonable medication and care can be inclined, which is believed to significantly reduce the mortality rate of severe patients. Routine examinations include complete blood count, coagulation profile, and serum biochemical test (including renal and liver function, creatine kinase, lactate dehydrogenase, and electrolytes). Complete blood count is the most available, efficient and economic examination. This study aims to retrospect and analyze the time-courses of complete blood count of cured and dead patients, in order to obtain key indicators of disease progression and outcome and to provide guidance for subsequent clinical practice. Low LYM% is a predictor of prognosis in COVID-19 patients We first randomly selected five death cases and monitored dynamic changes in blood tests for each patient from disease onset to death. Although course of disease in each patient was different, inter-day variations of most parameters studied are fairly constant among all five patients (Supplementary Fig. S1a–f). Among all parameters, blood lymphocyte percentage (LYM%) showed the most significant and consistent trend (Supplementary Fig. S1f), suggesting that this indicator might reflect the disease progression. To further confirm the relationship between blood LYM% and patient’s condition, we increased our sample size to 12 death cases (mean age: 76 years; average therapeutic time: 20 days) (Supplementary Table S1). Most cases showed that LYM% was reduced to lower than 5% within 2 weeks after disease onset (Supplementary Fig. S2a). We also randomly selected seven cases (mean age: 35 years, average therapeutic time: 35 days) with severe symptoms and treatment outcomes (Supplementary Table S2) and 11 cases (mean age: 49; average therapeutic time: 26 days) with moderate symptoms and treatment outcomes (Supplementary Table S3). LYM% of severe patients decreased initially and then increased to higher than 10% until discharged (Supplementary Fig. S2b). In contrast, LYM% of moderate patients fluctuated very little after disease onset and was higher than 20% when discharged (Supplementary Fig. S2c). These results suggest that lymphopenia is a predictor of prognosis in COVID-19 patients. Establishment of a Time-LYM% model from discharged COVID-19 patients By summarizing all the death and cured cases in our hospital to depict the time-LYM% curve (Fig. 1a), we established a Time-LYM% model (TLM) for disease classification and prognosis prediction (Fig. 1b). We defined TLM as follows: patients have varying LYM% after the onset of COVID-19. At the 1st time point (TLM-1) of 10–12 days after symptom onset, patients with LYM% > 20% are classified as moderate type and can recover quickly. Patients with LYM%  20% are in recovery; patients with 5%  20% at TLM-1 are classified as moderate type and the ones with LYM%  20% at TLM-2, those pre-severe patients are reclassified as moderate. If 5% < LYM% < 20% at TLM-2, the pre-severe patients are indeed typed as severe. If LYM% < 5% at TLM-2, those patients are suggested as critically ill. The moderate and severe types are curable, while the critically ill types need intensive care has a poor prognosis. c Ninety COVID-19 patients were currently hospitalized in light of the classification criteria of the New Coronavirus Pneumonia Diagnosis Program (5th edition): 55 patients with moderate type, 24 patients with severe type and 11 patients with critically ill type. At TLM-1, LYM% in 24 out of 55 moderate cases was lower than 20%; At TLM-2, LYM% in all 24 patients was above 5%, indicating that these patients would be curable. Regarding other 24 patients with severe symptoms, LYM% at TLM-1 was lower than 20% in 20 out of 24 cases. LYM% at TLM-2 in 6 cases was <5%, indicating a poor prognosis. In 11 out of 11 critically ill patients, LYM% at TLM-1 was lower than 20%. LYM% at TLM-2 in six cases was lower than 5%, suggesting a poor prognosis. d The consistency between Guideline and TLM-based disease classification in c was tested using kappa statistic. Kappa = 0.48; P < 0.005 Validation of TLM in disease classification in hospitalized COVID-19 patients To validate the reliability of TLM, 90 hospitalized COVID-19 patients typed by the latest classification guideline (5th edition) were redefined with TLM. LYM% in 24 out of 55 moderate cases was lower than 20% at TLM-1; LYM% of all these patients was above 5% at TLM-2, indicating that these patients would recover soon. LYM% at TLM-1 was lower than 20% in 20 out of 24 severe cases; LYM% at TLM-2 was <5% in six cases, indicating a poor prognosis. LYM% at TLM-1 in 11 out of 11 critically ill patients was lower than 20%; LYM% of these patients at TLM-2 was lower than 5% in six cases, suggesting a poor outcome (Fig. 1c). Furthermore, with kappa statistic test, we verified the consistency between TLM and the existing guideline in disease typing (Fig. 1d). LYM% indicates disease severity of COVID-19 patients The classification of disease severity in COVID-19 is very important for the grading treatment of patients. In particular, when the outbreak of an epidemic occurs and medical resources are relatively scarce, it is necessary to conduct grading severity and treatment, thereby optimize the allocation of rescue resources and prevent the occurrence of overtreatment or undertreatment. According to the latest 5th edition of the national treatment guideline, COVID-19 can be classified into four types. Pulmonary imaging is the main basis of classification, and other auxiliary examinations are used to distinguish the severity. Blood tests are easy, fast, and cost-effective. However, none of the indicators in blood tests were included in the classification criteria. This study suggested that LYM% can be used as a reliable indicator to classify the moderate, severe, and critical ill types independent of any other auxiliary indicators. Analysis of possible reasons for lymphopenia in COVID-19 patients Lymphocytes play a decisive role in maintaining immune homeostasis and inflammatory response throughout the body. Understanding the mechanism of reduced blood lymphocyte levels is expected to provide an effective strategy for the treatment of COVID-19. We speculated four potential mechanisms leading to lymphocyte deficiency. (1) The virus might directly infect lymphocytes, resulting in lymphocyte death. Lymphocytes express the coronavirus receptor ACE2 and may be a direct target of viruses. 5 (2) The virus might directly destroy lymphatic organs. Acute lymphocyte decline might be related to lymphocytic dysfunction, and the direct damage of novel coronavirus virus to organs such as thymus and spleen cannot be ruled out. This hypothesis needs to be confirmed by pathological dissection in the future. (3) Inflammatory cytokines continued to be disordered, perhaps leading to lymphocyte apoptosis. Basic researches confirmed that tumour necrosis factor (TNF)α, interleukin (IL)-6, and other pro-inflammatory cytokines could induce lymphocyte deficiency. 6 (4) Inhibition of lymphocytes by metabolic molecules produced by metabolic disorders, such as hyperlactic acidemia. The severe type of COVID-19 patients had elevated blood lactic acid levels, which might suppress the proliferation of lymphocytes. 7 Multiple mechanisms mentioned above or beyond might work together to cause lymphopenia, and further research is needed. In conclusion, lymphopenia is an effective and reliable indicator of the severity and hospitalization in COVID-19 patients. We suggest that TLM should be included in the diagnosis and therapeutic guidelines of COVID-19. Supplementary information Supplementary information
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              Regional Nodal Irradiation in Early-Stage Breast Cancer.

              Most women with breast cancer who undergo breast-conserving surgery receive whole-breast irradiation. We examined whether the addition of regional nodal irradiation to whole-breast irradiation improved outcomes.
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                Author and article information

                Contributors
                Journal
                Clin Oncol (R Coll Radiol)
                Clin Oncol (R Coll Radiol)
                Clinical Oncology (Royal College of Radiologists (Great Britain)
                The Royal College of Radiologists. Published by Elsevier Ltd.
                0936-6555
                1433-2981
                30 April 2020
                30 April 2020
                Affiliations
                []Ministry of Health, Chilaw, Sri Lanka
                []Sri Lanka Cancer Research Group, Maharagama, Sri Lanka
                []Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
                [§ ]The Christie NHS Foundation Trust, Manchester, UK
                Author notes
                []Author for correspondence: A. Choudhury, The Christie NHS Foundation Trust, Manchester, UK. Tel: +44-161-446-3000. ananya.choudhury@ 123456christie.nhs.uk
                Article
                S0936-6555(20)30189-8
                10.1016/j.clon.2020.04.011
                7190513
                32362444
                d7273006-d3da-4dd6-a94a-686f65809256
                © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 20 April 2020
                : 22 April 2020
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                Oncology & Radiotherapy
                Oncology & Radiotherapy

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