Mortality and Advanced Support Requirement for Patients With Cancer With COVID-19 : A Mathematical Dynamic Model for Latin America

PURPOSE: In the midst of a global pandemic, evidence suggests that similar to other severe respiratory viral infections, patients with cancer are at higher risk of becoming infected by COVID-19 and have a poorer prognosis. METHODS: We have modeled the mortality and the intensive care unit (ICU) requirement for the care of patients with cancer infected with COVID-19 in Latin America. A dynamic multistate Markov model was constructed. Transition probabilities were estimated on the basis of published reports for cumulative probability of complications. Basic reproductive number (R0) values were modeled with R using the EpiEstim package. Estimations of days of ICU requirement and absolute mortality were calculated by imputing number of cumulative cases in the Markov model. RESULTS: Estimated median time of ICU requirement was 12.7 days, median time to mortality was 16.3 days after infection, and median time to severe event was 8.1 days. Peak ICU occupancy for patients with cancer was calculated at 16 days after infection. Deterministic sensitivity analysis revealed an interval for mortality between 18.5% and 30.4%. With the actual incidence tendency, Latin America would be expected to lose approximately 111,725 patients with cancer to SARS-CoV-2 (range, 87,116-143,154 patients) by the 60th day since the start of the outbreak. Losses calculated vary between < 1% to 17.6% of all patients with cancer in the region. CONCLUSION: Cancer-related cases and deaths attributable to SARS-CoV-2 will put a great strain on health care systems in Latin America. Early implementation of interventions on the basis of data given by disease modeling could mitigate both infections and deaths among patients with cancer

Guest Editorial: Intelligent and Affective Learning Environments: New Trends and Challenges.

The authors reflect on the trends and challenges in intelligent and affective learning environments. They note the impact of traditional intelligent tutoring systems (ITS) on student learning which has been emerged with artificial intelligence techniques that can be helpful in human learning. The highlight the research papers included in the issue.4 Halama

Atypical skin manifestations during immune checkpoint blockage in coronavirus disease 2019–infected patients with lung cancer

A new coronavirus, named severe acute respiratory syndrome–coronavirus-2 by the WHO, has rapidly spread around the world since its first reported case in late December of 2019 from Wuhan, the People’s Republic of China. As of mid-April 2020, this virus has affected more than 180 countries and territories, infecting more than 1,650,000 individuals and causing over 100,000 deaths. With approximately 20 million new cases globally per year, cancer affects a substantial portion of the population. Individuals affected by cancer are more susceptible to infections owing to coexisting chronic diseases (cardiovascular, pulmonary, and diabetes), overall poor health status, and systemic immunosuppressive states caused by both cancer and the anticancer treatment. As a consequence, patients with malignancies, especially those with lung cancer who develop coronavirus disease 2019, experience more difficult outcomes. A recent multicenter study carried out by the Hubei Anti-Cancer Association has also documented that patients with lung cancer had an increased risk of death, intensive care unit requirement, risk of presenting severe or critical symptoms, and use of invasive mechanical ventilation. Here, we present two representative cases of patients with lung cancer and coronavirus disease 2019 without respiratory compromise and with atypical and severe skin manifestations—findings that could be influenced by the long-term use of anti–programmed cell death protein 1 antibody

The burden of lung cancer in Latin-America and challenges in the access to genomic profiling, immunotherapy and targeted treatments

Lung cancer is a public health problem worldwide and Latin America (LATAM) cannot escape this reality. This malignant disease has not only a high prevalence in the region, but is also the main cause of cancer related deaths, and in other emerging countries, the incidence rates are still on the rise. Interestingly in most LATAM countries, lung cancer mortality has been decreasing in men but not in women, reflecting smoking patterns in countries such as Chile, Bolivia, and Brazil. Despite the fact that these issues are well known to government agencies, physicians and patients in the region, current efforts still fall behind those needed in order to face this problem of epidemic proportions. Tobacco control and smoking cessation are the most important interventions against lung cancer, but even with their optimal implementation (which is far from reality at this time) the number of cases in the foreseeable future would still be significant. Beyond tobacco control, advances in our understanding of the molecular component of lung cancer have resulted in new targeted therapies and immune check point inhibitors, which have improved clinical outcomes but at a considerably higher financial cost. LATAM has not widely and speedily adopted these strategies, including new technology and approved novel drugs, due to a number of facts, and therefore only a dismal proportion of LATAḾs patient population have benefited from these new advances. A keen focus on a heterogeneous education system for caregivers in lung cancer treatment would likely help standardize care and improve future potential gains from domestic research. In this review we discuss the challenges of treatment implementation, focusing on new technologies

EGFR inhibitors plus bevacizumab are superior than EGFR inhibitors alone as first-line setting in advanced NSCLC with EGFR mutations and BIM deletion polymorphisms (BIM-CLICaP)

La activación de BIM es esencial para la apoptosis desencadenada por el inhibidor de la tirosina quinasa (TKI) del receptor del factor de crecimiento epidérmico (EGFR) en el cáncer de pulmón de células no pequeñas (CPCNP) con mutación de EGFR. Una deleción en el intrón dos del gen BIM da como resultado la generación de isoformas empalmadas alternativamente que alteran su respuesta apoptótica a los TKI, lo que confiere a las células de NSCLC una resistencia intrínseca a estos medicamentos. Los pacientes con ambas alteraciones tienen mala evolución clínica. El estudio actual tuvo como objetivo investigar la eficacia clínica y la tolerabilidad de EGFR-TKI más bevacizumab (Bev) versus EGFR-TKI solos como tratamiento de primera línea en pacientes con NSCLC avanzado con mutaciones de EGFR y deleciones BIM (BIMdel). MATERIALES Y MÉTODOS Se realizó un análisis retrospectivo. BIMdel se detectó mediante análisis de reacción en cadena de la polimerasa y secuenciación directa de ADN. La expresión de la proteína BIM se investigó mediante inmunohistoquímica y los niveles de ARNm de BIM mediante la reacción en cadena de la polimerasa con transcriptasa inversa. Se compararon las características clínicas, la supervivencia general, la supervivencia libre de progresión (PFS), la tasa de respuesta general (ORR) y los eventos adversos relacionados con el tratamiento entre ambos grupos. RESULTADOS Se incluyeron 33 pacientes; 15 recibieron EGFR-TKI y 18 recibieron EGFR-TKI más Bev. La mediana de edad fue de 63 años, con una mayoría de pacientes mujeres reclutadas. Todos los individuos incluidos tenían una puntuación de rendimiento del Grupo Oncológico Cooperativo del Este de 2 o menos. La adición de Bev resultó en un ORR significativamente más alto (94,4 % versus 40 %, P > 0,001). La mediana de SLP fue más larga con el uso de la terapia combinada (11,12 frente a 7,87 meses; P = 0,001). La mediana de supervivencia general tendió a ser más prolongada en los inhibidores de la tirosina quinasa con EGFR más Bev (30,9 frente a 25,4 meses; P = 0,06), pero no alcanzó significación estadística. La respuesta en términos de PFS parcial y completa, así como en general, se vio afectada favorablemente. CONCLUSIÓN Los EGFR-TKI más Bev confirieron una ORR y una SLP significativamente más altas en pacientes con NSCLC avanzado con mutación de EGFR y BIMdel. Se necesitan más estudios prospectivos para validar estos hallazgos.BIM activation is essential for epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI)–triggered apoptosis in EGFR-mutant non–small-cell lung cancer (NSCLC). A deletion in the intron two of the BIM gene results in generation of alternatively spliced isoforms that impairs their apoptotic response to TKIs, conferring the NSCLC cells intrinsic resistance to these medications. Patients with both alterations have poor clinical evolution. The current study aimed to investigate the clinical efficacy and tolerability of EGFR-TKIs plus bevacizumab (Bev) versus EGFR-TKIs alone as first-line treatment in advanced NSCLC patients with EGFR mutations and BIM deletions (BIMdel). MATERIALS AND METHODS A retrospective analysis was conducted. BIMdel was detected using polymerase chain reaction analysis and direct sequencing of DNA. BIM protein expression was investigated by immunohistochemistry, and BIM mRNA levels by reverse transcriptase-polymerase chain reaction. Clinical characteristics, overall survival, progression-free survival (PFS), overall response rate (ORR), and treatment-related adverse events were compared between both groups. RESULTS Thirty-three patients were included; 15 received EGFR-TKIs, and 18 received EGFR-TKIs plus Bev. The median age was 63 years, with a majority of recruited female patients. All included individuals had an Eastern Cooperative Oncology Group performance score of 2 or less. The addition of Bev resulted in a significantly higher ORR (94.4% v 40%, P > .001). Median PFS was longer with the use of the combination therapy (11.12 v 7.87 months; P = .001). Median overall survival tended to be longer in the EGFR-TKIs plus Bev (30.9 v 25.4 months; P = .06) but failed to reach statistical significance. Response in terms of both partial and complete as well as overall favorably affected PFS. CONCLUSION EGFR-TKIs plus Bev conferred a significantly higher ORR and PFS in advanced NSCLC patients with EGFR mutation and BIMdel. Further prospective studies are needed to validate these findings

Application of Comprehensive Genomic Profiling-Based Next-Generation Sequencing Assay to Improve Cancer Care in a Developing Country

Purpose Identifying actionable oncogenic mutations have changed the therapeutic landscape in different types of tumors. This study investigated the utility of comprehensive genomic profiling (CGP), a hybrid capture-based next-generation sequencing (NGS) assay, in clinical practice in a developing country. Methods In this retrospective cohort study, CGP was performed on clinical samples from patients with different solid tumors recruited between December 2016 and November 2020, using hybrid capture-based genomic profiling, at the individual treating physicians’ request in the clinical care for therapy decisions. Kaplan–Meier survival curves were estimated to characterize the time-to-event variables. Results Patients median age was 61 years (range: 14–87 years), and 64.7% were female. The most common histological diagnosis was lung primary tumors, with 90 patients corresponding to 52.9% of the samples (95% CI 45.4-60.4%). Actionable mutations with FDA-approved medications for specific alterations correspondent to tumoral histology were identified in 58 cases (46.4%), whereas other alterations were detected in 47 different samples (37.6%). The median overall survival was 15.5 months (95% CI 11.7 months-NR). Patients who were subjected to genomic evaluation at diagnosis reached a median overall survival of 18.3 months (95% CI 14.9 months-NR) compared to 14.1 months (95% CI 11.1 months-NR) in patients who obtained genomic evaluation after tumor progression and during standard treatment ( P = .7). Conclusion CGP of different types of tumors identifies clinically relevant genomic alterations that have benefited from targeted therapy and improve cancer care in a developing country to guide personalized treatment to beneficial outcomes of cancer patients

Immunotherapy at any line of treatment improves survival in patients with advanced metastatic non‐small cell lung cancer (NSCLC) compared with chemotherapy (Quijote‐CLICaP)

Background: To compare survival outcomes of patients with advanced or metastatic non-small cell lung cancer (NSCLC) who received immunotherapy as first-, second- or beyond line, versus matched patients receiving standard chemotherapy with special characterization of hyperprogressors. Methods: A retrospective cohort study of 296 patients with unresectable/metastatic NSCLC treated with either, first-, second-, third- or fourth-line of immunotherapy was conducted. A matched comparison with a historical cohort of first-line chemotherapy and a random forest tree analysis to characterize hyperprogressors was conducted. Results: Median age was 64 years (range 34–90), 40.2% of patients were female. A total of 91.2% of patients had an Eastern Cooperative Oncology Group (ECOG) performance score ≤ 1. Immunotherapy as first-line was given to 39 patients (13.7%), second-line to 140 (48.8%), and as third-line and beyond to 108 (37.6%). Median overall survival was 12.7 months (95% CI 9.67–14 months) and progression-free survival (PFS) of 4.27 months (95% CI 3.97–5.0). Factors associated with increased survival included treatment with immunotherapy as first-line (P < 0.001), type of response (P < 0.001) and PD-L1 status (P = 0.0039). Compared with the historical cohort, immunotherapy proved to be superior in terms of OS (P = 0.05) but not PFS (P = 0.2). A total of 44 hyperprogressors were documented (19.8%, [95% CI 14.5–25.1%]). Leukocyte count over 5.300 cells/dL was present in both hyperprogressors and long-term responders. Conclusions: Patients who receive immune-checkpoint inhibitors as part of their treatment for NSCLC have better overall survival (OS) compared with matched patients treated with standard chemotherapy, regardless of the line of treatment