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1.
Cancer Rep (Hoboken) ; 6(1): e1769, 2023 01.
Article in English | MEDLINE | ID: covidwho-2238549

ABSTRACT

BACKGROUND: T-lymphoblastic lymphoma (T-LBL) is an aggressive malignancy of T-lymphoid precursors, rarely co-occurring with myeloid/lymphoid neoplasms with eosinophilia (M/LNs-Eo), with consequent rearrangement of tyrosine kinase (TK)-related genes. The FIP1L1-PDGFRA fusion gene is the most frequent molecular abnormality seen in eosinophilia-associated myeloproliferative disorders, but is also present in acute myeloid leukemia (AML), T-lymphoblastic leukemia/lymphoma (TLL), or both simultaneously. T-LBL mainly affects children and young adults, involving lymph node, bone marrow, and thymus. It represents about 85% of all immature lymphoblastic lymphomas, whereas immature B-cell lymphomas comprise approximately 15% of all cases of LBL. CASE: In this case report, we present an example of T cell lymphoblastic lymphoma with coexistent eosinophelia, treated successfully with a tyrosine-kinase inhibitor (TKI). CONCLUSION: FIP1L1-PDGFRA-positive T-LBL and myeloproliferative disorders have excellent response to low-dose treatment with (TKI) imatinib. Most patients achieve rapid and complete hematologic and molecular remission within weeks.


Subject(s)
Eosinophilia , Myeloproliferative Disorders , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma , Child , Humans , Receptor, Platelet-Derived Growth Factor alpha/genetics , Receptor, Platelet-Derived Growth Factor alpha/metabolism , Receptor, Platelet-Derived Growth Factor alpha/therapeutic use , Imatinib Mesylate/therapeutic use , Myeloproliferative Disorders/complications , Myeloproliferative Disorders/drug therapy , Myeloproliferative Disorders/genetics , Eosinophilia/diagnosis , Eosinophilia/drug therapy , Eosinophilia/genetics , Protein Kinase Inhibitors/therapeutic use , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy , Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics , Oncogene Proteins, Fusion/genetics , mRNA Cleavage and Polyadenylation Factors/genetics , mRNA Cleavage and Polyadenylation Factors/therapeutic use
2.
J Cancer Res Ther ; 18(Supplement): S478-S480, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2163917

ABSTRACT

Pediatric acute lymphoblastic leukemia (ALL) with COVID-19 might still have a risk of severe infection due to immunocompromised condition. The clinical features in oncology population are quite similar to those of previous reports in general pediatric cases. Chemotherapy should be arranged individually to balance the risk between leukemia progressivity itself and COVID-19 complications. Interruptions of therapy must be thought in cases with severe or symptomatic infection of severe acute respiratory syndrome-CoV-2. In this case report, chemotherapy will be started 1 week after the improvement of general condition. Chemotherapy should not be postponed for >14 days.


Subject(s)
COVID-19 , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Male , Child , Humans , COVID-19/complications , SARS-CoV-2 , Precursor Cell Lymphoblastic Leukemia-Lymphoma/complications , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy
3.
BMJ Case Rep ; 15(5)2022 May 20.
Article in English | MEDLINE | ID: covidwho-1861600

ABSTRACT

New diagnoses of leukaemia and other malignancies are recently being made in paediatric patients with COVID-19. The rates of mortality and morbidity in some of these children are expected to be higher. In new cases, concurrent diagnosis can be difficult because multisystemic inflammatory syndrome (MIS-C) and malignancies have similar clinical presentations. We present the case of a preteenage child where the diagnosis of leukaemia was complicated and delayed by a multisystem involvement and an inconclusive bone marrow study. Clinical teams managing children with COVID-19 and MIS-C should suspect leukaemia and other malignancies when the clinical course is complicated and bone marrow suppression is persistent. Prompt diagnosis will allow start of treatment on time, minimising complications.


Subject(s)
COVID-19 , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Respiratory Distress Syndrome , Respiratory Insufficiency , COVID-19/complications , Child , Humans , Precursor Cell Lymphoblastic Leukemia-Lymphoma/complications , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Systemic Inflammatory Response Syndrome/diagnosis
5.
BMC Neurol ; 22(1): 163, 2022 May 02.
Article in English | MEDLINE | ID: covidwho-1817194

ABSTRACT

BACKGROUND: Idiopathic intracranial hypertension is a rare neurological condition among children. Its manifestations vary from mild headaches to loss of vision. Although rare, COVID-19 infection and high dose cytosine arabinoside have been reported as risk factors for this neurological disorder. In patients with acute leukemia, idiopathic intracranial hypertension diagnosis is simple, but finding its etiology can be difficult. CASE PRESENTATION: We report a case of a 9-year-old boy with an ongoing treatment for T-acute lymphoblastic leukemia presenting with persistent headaches and diplopia. A diagnosis of idiopathic intracranial hypertension was retained based on clinical, imaging and laboratory findings. Due to its rarity, we describe its clinical and therapeutic features and highlight the challenging etiological dilemma between COVID-19 infection and high dose cytosine arabinoside administration. CONCLUSION: Persistent headache in a pediatric patient with leukemia can be due to many neurological disorders other than leukemic relapse. Given the improvement of the neurological symptoms after the SARS-CoV-2 PCR negativization and the successful re-introduction of high dose cytosine Arabinoside, the diagnosis of idiopathic intracranial hypertension associated with Covid-19 infection was withheld.


Subject(s)
COVID-19 , Precursor Cell Lymphoblastic Leukemia-Lymphoma , Pseudotumor Cerebri , COVID-19/complications , Child , Cytarabine/adverse effects , Headache/etiology , Humans , Male , Precursor Cell Lymphoblastic Leukemia-Lymphoma/complications , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy , Pseudotumor Cerebri/diagnosis , SARS-CoV-2
6.
Am J Clin Pathol ; 157(1): 119-129, 2022 Jan 06.
Article in English | MEDLINE | ID: covidwho-1621542

ABSTRACT

OBJECTIVES: We evaluated MYC and p53 expression, TP53 aberration, their relationship, and their impact on overall survival (OS) in acute lymphoblastic leukemia (ALL)/lymphoblastic lymphoma (LBL). METHODS: We identified 173 patients with ALL and LBL, including 12 cases of mixed-phenotype acute leukemia, 8 cases of therapy-related B-cell ALL (B-ALL), 119 cases of B-ALL, and 34 cases of T-cell ALL/LBL diagnosed from 2003 to 2019. We retrospectively assessed p53 and MYC expression by immunohistochemistry of bone marrow and correlated MYC expression with p53 expression and TP53 aberration. RESULTS: Expression of p53 and MYC was present in 11.5% and 27.7% of ALL/LBL cases (n = 20 and n = 48), respectively. MYC expression was significantly correlated with p53 expression and TP53 aberration (P = .002 and P = .03), and p53 expression and MYC expression had an adverse impact on OS in patients with ALL/LBL (P < .05). MYC and p53 dual expression as well as combined MYC expression and TP53 aberration had a negative impact on OS in patients with ALL/LBL. CONCLUSIONS: MYC expression is correlated with p53 overexpression, TP53 aberration, and poor OS in patients with ALL/LBL.


Subject(s)
Precursor Cell Lymphoblastic Leukemia-Lymphoma , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma , Proto-Oncogene Proteins c-myc/genetics , Tumor Suppressor Protein p53 , Humans , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics , Retrospective Studies , Tumor Suppressor Protein p53/genetics
7.
Pediatr Blood Cancer ; 68(11): e29272, 2021 11.
Article in English | MEDLINE | ID: covidwho-1333028

ABSTRACT

BACKGROUND: Sedation for lumbar punctures (LPs) in pediatric acute lymphoblastic leukemia (ALL) patients has been the standard for decades to reduce pain and anxiety. Recent studies on the potential long-term neurocognitive effects of cumulative propofol exposure have raised concerns about this practice. The recent pandemic introduced additional burdens to patients, with the requirement of a negative COVID-19 test prior to each sedated procedure. PROCEDURE: These factors prompted a quality improvement intervention at our institution where we aimed to reduce postinduction sedated LPs by 50%. Our intervention included patient and family education, followed by a simulation of the procedure for selected patients. Those converted to unsedated LPs were queried for their preference. Comparative cost, clinical time, and LP success rates were collected for sedated and unsedated LPs. RESULTS: Following the intervention, the percentage of LPs performed with sedation dropped from 100% to 48%. All LPs were successful using both techniques. Most patients who experienced the unsedated LP technique, and their guardians, strongly preferred this approach. Unsedated LPs significantly reduced clinical time (169 vs. 83 minutes) for families, decreased expenditures ($5736 reduction per procedure), and improved institutional opportunity cost due to a decrease in last-minute cancelations. CONCLUSION: We have shown that it is feasible to significantly reduce the use of sedation for LPs in patients with ALL, which has the potential to improve health and patient experience at a lower cost.


Subject(s)
Hypnotics and Sedatives/therapeutic use , Pain Management , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Spinal Puncture , Adolescent , Adult , COVID-19/diagnosis , Child , Female , Humans , Hypnotics and Sedatives/adverse effects , Male , Pain Management/adverse effects , Pain Management/methods , Propofol/adverse effects , Propofol/therapeutic use , SARS-CoV-2/isolation & purification , Spinal Puncture/methods , Young Adult
8.
Clin Lymphoma Myeloma Leuk ; 21(10): e801-e809, 2021 10.
Article in English | MEDLINE | ID: covidwho-1313013

ABSTRACT

BACKGROUND AND OBJECTIVE: SARS-CoV-2 infection has bimodal distribution in Europe with a first wave in March to June 2020 and a second in September 2020 to February 2021. We compared the frequency, clinical characteristics and outcomes of adults with acute lymphoblastic leukemia (ALL) and infection in the first vs. second pandemic waves in Spain. PATIENTS AND METHODS: In this prospective study the characteristics of ALL and COVID-19 infection, comorbidities, treatment and outcome in the two periods were compared. The study ended when vaccination against SARS-CoV-2 was implemented in Spain. RESULTS: Twenty eight patients were collected in the first wave and 24 in the second. The median age was 46.5 years (range 20-83). Patients from the first wave had a trend to more severe ALL (higher frequency of patients under induction or submitted to transplantation or under immunosuppressive therapy). No significant differences were observed in need for oxygen support, intensive care unit (ICU) requirement, days in ICU and time to COVID-19 infection recovery. Seventeen patients (33%) died, with death attributed to COVID infection in 15 (29%), without significant differences in the 100 day overall survival (OS) probabilities in the two waves (68% ± 17% vs. 56% ± 30%). The only prognostic factor for OS identified by was the presence of comorbidities at COVID-19 infection (HR: 5.358 [95% CI: 1.875- 15.313]). CONCLUSION: The frequency and mortality of COVID-19 infection were high in adults with ALL, without changes over time, providing evidence in favor of vaccination priority for these patients.


Subject(s)
COVID-19/epidemiology , Intensive Care Units/statistics & numerical data , Outcome Assessment, Health Care/statistics & numerical data , Precursor Cell Lymphoblastic Leukemia-Lymphoma/epidemiology , Adult , Aged , Aged, 80 and over , COVID-19/therapy , COVID-19/virology , Comorbidity , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Multivariate Analysis , Outcome Assessment, Health Care/methods , Pandemics/prevention & control , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy , Prospective Studies , SARS-CoV-2/physiology , Spain/epidemiology , Young Adult
12.
Clin Lymphoma Myeloma Leuk ; 21(5): 289-294, 2021 05.
Article in English | MEDLINE | ID: covidwho-1018989

ABSTRACT

The Coronavirus disease-2019 (COVID-19) pandemic is an unprecedented health care crisis and has led to over 1.5 million deaths worldwide. The risk of severe COVID-19 and mortality is markedly raised in patients with cancer, prompting several collaborative groups to issue guidelines to mitigate the risk of infection by delaying or de-escalating immunosuppressive therapy. However, delayed therapy is often not feasible for patients requiring treatment for acute leukemia or stem cell transplantation. We provide a focused review of the recommendations and evidence for managing this high-risk group of patients while minimizing the risk of COVID-19 infection, and provide a small snapshot of treatment data from our center.


Subject(s)
COVID-19/prevention & control , Hematopoietic Stem Cell Transplantation/methods , Leukemia, Myeloid/therapy , Medical Oncology/methods , Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy , SARS-CoV-2/isolation & purification , Acute Disease , COVID-19/epidemiology , COVID-19/virology , Humans , Leukemia, Myeloid/diagnosis , Pandemics , Practice Guidelines as Topic , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , SARS-CoV-2/physiology
13.
J Healthc Eng ; 2020: 6648574, 2020.
Article in English | MEDLINE | ID: covidwho-991957

ABSTRACT

For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affecting the bone marrow and/or blood. A quick, safe, and accurate early-stage diagnosis of leukemia plays a key role in curing and saving patients' lives. Based on developments, leukemia consists of two primary forms, i.e., acute and chronic leukemia. Each form can be subcategorized as myeloid and lymphoid. There are, therefore, four leukemia subtypes. Various approaches have been developed to identify leukemia with respect to its subtypes. However, in terms of effectiveness, learning process, and performance, these methods require improvements. This study provides an Internet of Medical Things- (IoMT-) based framework to enhance and provide a quick and safe identification of leukemia. In the proposed IoMT system, with the help of cloud computing, clinical gadgets are linked to network resources. The system allows real-time coordination for testing, diagnosis, and treatment of leukemia among patients and healthcare professionals, which may save both time and efforts of patients and clinicians. Moreover, the presented framework is also helpful for resolving the problems of patients with critical condition in pandemics such as COVID-19. The methods used for the identification of leukemia subtypes in the suggested framework are Dense Convolutional Neural Network (DenseNet-121) and Residual Convolutional Neural Network (ResNet-34). Two publicly available datasets for leukemia, i.e., ALL-IDB and ASH image bank, are used in this study. The results demonstrated that the suggested models supersede the other well-known machine learning algorithms used for healthy-versus-leukemia-subtypes identification.


Subject(s)
Deep Learning , Diagnosis, Computer-Assisted , Internet of Things , Leukemia/classification , Leukemia/diagnosis , Pattern Recognition, Automated , Algorithms , COVID-19/epidemiology , Cloud Computing , Databases, Factual , Diagnostic Imaging , Humans , Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis , Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis , Leukemia, Myeloid, Acute/diagnosis , Machine Learning , Neural Networks, Computer , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Telemedicine
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