El deterioro cognitivo inducido por quimioterapia es un proceso biológico poco entendido; sin embargo, existe evidencia de que podría afectar a pacientes en tratamiento adyuvante por cáncer de mama cuya incidencia varía ampliamente según la población en estudio, el esquema terapéutico aplicado y la metodología utilizada en su evaluación. La presente revisión busca iniciar discusiones sobre la necesidad de generar información en nuestro medio acerca de este trastorno, a fin de plantear estrategias de prevención y control por parte del personal de salud y mejorar la calidad de vida de las pacientes sometidas a este tipo de tratamiento.
El tumor de primario no conocido es una neoplasia poco frecuente pero con alta mortalidad al momento del diagnóstico. Un procedimiento como la tomografía por emisión de positrones (PET/CT) puede determinar el tumor primario y ayudar en el manejo inicial y mejorar la sobrevida y calidad de vida de estos pacientes. Constituye un grupo de enfermedades, cuyo abordaje es generalmente en estadio avanzado.
La pérdida de heterocigosidad 1p/19q tiene valor pronóstico clínico y está fuertemente asociada con características histológicas clásicas de oligodendroglioma. Objetivos: El presente artículo, propone un método molecular para determinar la pérdida de heterocigosidad (LOH por sus siglas en inglés) para 1p/19q y permitir la clasificación de tumores oligodendrogliales. Material y Métodos: Se utilizaron muestras en fresco del Banco de Tejidos Tumorales del Instituto Nacional de Enfermedades Neioplásicas (INEN) y biopsias de tejido embebido en parafina de tumores oligodendrogliales, con diagnóstico patológico de oligodendroglioma y oligoastrocitoma. Los métodos propuestos son PCR Multiplex y amplificación de fragmentos por electroforesis capilar de los productos de PCR, y fueron aplicados a un total de 39 casos que presentaban grado histológico II y III. Resultados: Los resultados obtenidos permiten una adecuada clasificación molecular de los tumores oligodendrogliales.
Background: COVID-19 is a condition caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing a systemic inflammatory response and respiratory failure. Patients with acute leukemia are presumed to be at the highest risk among all cancer patients, given their state of severe immunosuppression from both the disease and aggressive therapy. Therefore, we aimed to determine if COVID-19 increases the early-mortality risk of ALL patients during the induction phase. Methods: We conducted a retrospective cohort study by reviewing medical records of newly diagnosed ALL patients between March 2020 and September 2020 at a single Peruvian institution (INEN, Lima-Peru). We included patients older than 14 years, with the initial intent of intensive treatment. The proposed protocol was the CALGB10403 with asparaginase modification. COVID-19 was determined by a +ve nasopharyngeal SARS-CoV-2 RT-PCR or serology. The outcomes were 30-day and 60-day mortality and treatment response at the end of induction. Results: Of 63 patients with ALL in induction therapy, 22 (35%) had COVID-19, and 41 (65%) did not. Overall, the median age was 30 (IQR 21 - 42), and 59% were males. Table 1 shows that age, sex, ALL subtype, and laboratory characteristics had a similar distribution between both groups. The mortality rate of ALL patients with COVID-19 was non-statistically different from non-COVID-19 patients at 30 (23% versus 12%, p=0.466) and 60 days (32% versus 20%, p=0.434). Multivariate logistic regression did not find a significant association between COVID-19 and complete treatment response (aOR: 0.44, 95% CI: 0.02-4.54). Similarly, patients with COVID-19 did not had an increased mortality risk at 30 days (aHR: 2.37, 95% CI: 0.64-8.75) and 60 days (aHR: 1.98, 95% CI: 0.7-5.64). Conclusion: In our cohort, COVID-19 did not increase the risk of early death in newly diagnosed patients with ALL. Table 1.Characteristics of patients with ALLOverallCOVID-19 NegativeCOVID-19 positivep-value*n=63n=41n=22Age (years)**33 ±1532 ±1635 ±130.377Sex Male37 (59%)25 (61%)12 (55%)0.821 Female23 (41%)16 (39%)10 (45%)Type B-ALL56 (86%)36 (88%)18 (72%)0.787 T-ALL9 (14%)5 (12%)4 (18%)B-ALL subtype NOS42 (78%)29 (81%)13 (72%)0.873 E2A/PBX12 (4%)1 (3%)1 (6%) MLL/AF42 (4%)1 (3%)1 (6%) TEL/AML1 (2%)1 (3%)0 (0%) BCR/ABL5 (8%)3 (7%)2 (10%) Unknown2 (4%)1 (3%)1 (6%)DHL (U/L)655 ±854719 ±988536 ±5230.422D-dimer (ng/mL)4539 ±59085319 ±70293164 ±27290.184Leucocytes (x103µL)38 ±10044 ±11927 ±490.528Hemoglobin (g/dL) †9 (7-14)9 (7-11)10 (7-54)0.475CNS Infiltration11 (17%)8 (20%)3 (14%)0.812ECOG>32 (3%)1 (2%)1 (5%)Complete Response43 (68%)28 (68%)15 (68%)0.896Minimal Residual Disease29 (46%)20 (49%)9 (41%)0.8330-day mortality10 (16%)5 (12%)5 (23%)0.46660-day mortality15 (24%)8 (20%)7 (32%)0.434*Univariate Cox regression.**Mean (standard deviation)†Median (Interquartile range) Citation Format: Daniel J. Enriquez-Vera, Ali Al-kassab-Cordova, Lizbeth Lachira-Yparraguirre, Gustavo Sandival-Ampuero, Bryan Valcarcel, Cesar Samanez, Juan Haro-Varas, Shirley Quintana-Truyenque, Luis Malpica, Henry Gomez-Leonidas, Tatiana Vidaurre-Rojas. Early death in acute lymphoblastic leukemia during COVID-19 pandemic: A single institution cohort study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 721.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.