Integrated management of stage III in nonsmall cell lung cancer: where do perioperative chemotherapy and immunotherapy fit?

PURPOSE OF REVIEW: Early-stage nonsmall cell lung cancer (NSCLC) accounts for 30% of the total NSCLC, being the stage III a heterogeneous disease that represents a challenge in the management of these patients. Multidisciplinary approach is essential for an adequate treatment strategy, with surgery being the only curative treatment. Neoadjuvant or adjuvant chemotherapy has been the standard of care for a long period, with modest results. RECENT FINDINGS: Combination of chemotherapy and immunotherapy has revolutionized the neoadjuvant setting of resectable NSCLC, improving pathologic complete responses and survival outcomes in this scenario. Furthermore, perioperative treatment with immunotherapy has also recently shown promising results in several phase III trials. SUMMARY: The landscape of early-stage resectable NSCLC has evolved in recent years, with an improvement in the survival of these patients since the incorporation of immunotherapy in this scenario.

Sexual dysfunction in patients with cancer, a challenge in oncology practice: results of the CLARIFY project.

BACKGROUND: Sexual dysfunction (SD) associated with oncological treatment is a common and understudied disorder. Our aim was to characterize SD in a cohort of Spanish patients. METHODS: Analytic observational study in patients included in the CLARIFY H2020 project at the Hospital Universitario Puerta de Hierro. Clinical variables and validated measures of sexual function were collected from October 2020 to May 2022. Frequency and quality of sexual activity were assessed. Descriptive, trend associations, and logistic regression analyses were performed. RESULTS: A total of 383 patients were included: breast cancer 68.14% (261), lung cancer 26.37% (101), and lymphoma 5.50% (21). Mean age was 56.5 years (range 33-88). 19.58% (75) were men and 80.42% (308) were women. 69% and 31% of men and women, respectively, reported being sexually active. The absolute frequency of overall sexual dissatisfaction was 76% in women and 24% in men. Women with breast cancer were most likely to have severe sexual dysfunction. Those with early disease had resolved complaints after 5 years. In multinomial logistic regression, significant associations were found in women with metastatic breast cancer and severe disorders of arousal (p 0.000), lubrication (p 0.002), orgasm (p 0.000), as well as dissatisfaction with sexual performance (p 0.000) and global sexual dissatisfaction (p 0.000). Women with lung cancer have severe arousal dysfunction (p 0.016) and global sexual dissatisfaction (p 0.044). CONCLUSIONS: Our population has a high prevalence of SD, which supports the need to increase awareness of this disorder among the medical oncology team and the importance of including sexual health assessment in oncological patient follow-up.

Cost-effectiveness of diagnostic tests during follow-up in lung cancer patients: an evidence-based study.

Background: Many patients with non-metastatic non-small cell lung cancer (NSCLC) are cured by surgery but part of them develop recurrence. Strategies are needed to identify these relapses. Currently, there is no consensus on the follow-up schedule after curative resection for patients with NSCLC. The objective of this study is to analyze the diagnostic capacity of the tests performed during follow-up after surgery. Methods: We retrospectively reviewed 392 patients with stage I-IIIA NSCLC who underwent surgery. Data were collected from patients diagnosed between January 1st, 2010 and December 31st, 2020. Demographic and clinical data were analyzed, as well as the tests performed during their follow-up. We identified as relevant in the diagnosis of relapses those tests that prompted further investigation and change of treatment. Results: The number of tests matches those included in clinical practice guidelines. A total of 2,049 clinical follow-up consultations were performed, of which 2,004 were scheduled (0.59% informative). A total of 1,796 blood tests were performed, of which 1,756 were scheduled (0.17% informative). A total of 1,940 chest computer tomography (CT) scans were performed, of which 1,905 were scheduled and 128 were informative (6.7%). A total of 144 positron emission tomography (PET)-CT scans were performed, 132 of which were scheduled, of which 64 (48%) were informative. In all cases, the tests performed by unscheduled request exceeded the informative result of the scheduled ones several fold. Conclusions: Most of the scheduled follow-up consultations were not relevant for the patients' management, and only body CT scan exceeded the threshold of 5% profitability, without reaching 10% even in stage IIIA. The profitability of the tests increased when performed in unscheduled visits. New follow-up strategies based on scientific evidence must be defined and follow-up schemes should be tailored focused on agile attention of the unscheduled demand.

Patterns and outcome of unplanned care in lung cancer patients: an observational study in a medical oncology department.

Background: There is increasing interest in unplanned care utilization among lung cancer patients and its evaluation should allow the identification of areas for quality improvement. Being a major priority for transformation in oncology, we aim to measure the risk and burden of unplanned care in a medical oncology department and identify factors that determine acute care. Methods: This was an observational retrospective cohort study that included all lung cancer patients treated at Puerta de Hierro-Majadahonda University Hospital between January 1st 2016 and December 31st 2020. Data cut off: June 30th, 2021. The main objective was to assess the incidence of unplanned care, emergency department (ED) visits and unplanned hospital admissions, from the first visit to the medical oncology service and its potential conditioning variables, considering patient death as a competitive event. As secondary objectives, a description and a quality of unplanned care evaluation was carried out. Results: A total of 821 lung cancer patients, all histologies and stages, were included (median follow-up: 32.8 months). Six hundred and eighty-one patients required consultation in the ED (82.9%), and 558 required an unplanned admission (68%). Eighty-six percent of ED consultations and 80.9% of unplanned hospital admissions were related to cancer or its treatment. The 1-year cumulative incidence for ED consultation and for unplanned hospital admission was 71.3% (95% CI: 67.8-74.5%) and 56.7% (95% CI: 53-60%), respectively. In the multivariable analysis, a higher tumor stage increased the risk of consultation in the ED, while a higher stage, Eastern Cooperative Oncology Group performance status (ECOG PS) 2 compared to ECOG PS 0, male sex, opioid or steroid use at first consultation increased the risk of unplanned admission. Conclusions: Our study shows that lung cancer patients have an extremely high demand for unplanned care. It is an early need and related to cancer in the majority of consultations and admissions and therefore a key issue for the management of oncology departments. We must optimize the follow-up of patients with a higher risk of unplanned care, advanced lung cancer or symptomatic patients, incorporating remote monitoring strategies and early interventions, as developing specific urgent care pathways for a better comprehensive cancer care.

Unveiling the Role of the Tumor Microenvironment in the Treatment of Follicular Lymphoma.

Follicular lymphomas (FL) are neoplasms that resemble normal germinal center (GC) B-cells. Normal GC and neoplastic follicles contain non-neoplastic cells such as T-cells, follicular dendritic cells, cancer associated fibroblasts, and macrophages, which define the tumor microenvironment (TME), which itself is an essential factor in tumor cell survival. The main characteristics of the TME in FL are an increased number of follicular regulatory T-cells (Treg) and follicular helper T-cells (Tfh), M2-polarization of macrophages, and the development of a nodular network by stromal cells that creates a suitable niche for tumor growth. All of them play important roles in tumor angiogenesis, inhibition of apoptosis, and immune evasion, which are key factors in tumor progression and transformation risk. Based on these findings, novel therapies have been developed to target specific mutations present in the TME cells, restore immune suppression, and modulate TME.

Assessing the risk of cardiovascular events in patients receiving immune checkpoint inhibitors.

Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment. However, despite their excellent therapeutic effect, these medications typically result in a broad spectrum of toxicity reactions. Immune-related cardiotoxicity is uncommon but can be potentially fatal, and its true incidence is underestimated in clinical trials. The aim of this study is to assess the incidence and identify risk factors for developing a cardiac event in patients treated with ICIs. Methods: We conducted a single-institution retrospective study, including patients treated with ICIs in our center. The main outcomes were cardiac events (CE) and cardiovascular death. Results: A total of 378 patients were analyzed. The incidence of CE was 16.7%, during a median follow-up of 50.5 months. The multivariable analysis showed that age, a history of arrhythmia or ischemic heart disease, and prior immune-related adverse events were significantly associated with CE. Conclusion: CE during ICI treatment are more common than currently appreciated. A complete initial cardiovascular evaluation is recommended, especially in high-risk patients, being necessary a multidisciplinary approach of a specialized cardio-oncology team.

An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study.

BACKGROUND: Artificial intelligence (AI) has contributed substantially in recent years to the resolution of different biomedical problems, including cancer. However, AI tools with significant and widespread impact in oncology remain scarce. The goal of this study is to present an AI-based solution tool for cancer patients data analysis that assists clinicians in identifying the clinical factors associated with poor prognosis, relapse and survival, and to develop a prognostic model that stratifies patients by risk. MATERIALS AND METHODS: We used clinical data from 5275 patients diagnosed with non-small cell lung cancer, breast cancer, and non-Hodgkin lymphoma at Hospital Universitario Puerta de Hierro-Majadahonda. Accessible clinical parameters measured with a wearable device and quality of life questionnaires data were also collected. RESULTS: Using an AI-tool, data from 5275 cancer patients were analyzed, integrating clinical data, questionnaires data, and data collected from wearable devices. Descriptive analyses were performed in order to explore the patients' characteristics, survival probabilities were calculated, and a prognostic model identified low and high-risk profile patients. CONCLUSION: Overall, the reconstruction of the population's risk profile for the cancer-specific predictive model was achieved and proved useful in clinical practice using artificial intelligence. It has potential application in clinical settings to improve risk stratification, early detection, and surveillance management of cancer patients.

Cancer and SARS-CoV-2 Infection: A Third-Level Hospital Experience.

INTRODUCTION: Madrid has been the epicenter of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in Spain. We analyzed our experience with SARS-CoV-2 infected and cancer patients. PATIENTS AND METHODS: We included patients from March 1 to April 30 2020 at Hospital Universitario Puerta de Hierro, Majadahonda, Madrid (Spain). The inclusion criteria were diagnosis of SARS-CoV-2 infection made by reverse transcription polymerase chain reaction (RT-PCR) of nasopharyngeal specimens in cancer patients who were admitted to the hospital due to the need for respiratory support. The exclusion criteria were suspected cases not confirmed. The primary objective was to analyze the mortality rates of patients with cancer, especially those with lung cancer and COVID-19. RESULTS: Overall in-hospital mortality of cancer patients with coronavirus disease 2019 (COVID-19) was 15.2% similar to 12.7% of the global COVID-19 hospitalized population (p=0.615) and greater than that of patients admitted without SARS-CoV-2 infection during the same period 4.3% (p<0.001). Among 653 patients receiving active cancer therapy during the study period, 24 (3.7%) developed COVID-19 and required admission, 4.2% of those receiving chemotherapy, 9.5% immunotherapy and 2.1% targeted therapies. Lung and breast cancer were the most frequent cancer types (26.1%), followed by colorectal cancer (19.6%). Mortality in patients with lung cancer was 25%. The univariate analysis comparing patients who developed a serious event to those who did not showed that the higher Brescia index, CURB-65 scale, lactate dehydrogenase (LDH) or C-reactive protein (CRP) were the risk factors of developing severe complications. CONCLUSION: Patients with cancer, especially lung cancer, and SARS-CoV-2 infection have a worse overall prognosis than the general population.