Immune checkpoint inhibitors in non-small cell lung cancer: from current perspectives to future treatments-a systematic review.

Background: The introduction of immunotherapy in the treatment of non-small cell lung cancer (NSCLC) has resulted in a radical change in patients' treatment responses and survival rates. The increased percentage of long survivors, improved toxicity profiles compared to chemotherapy, and the possible applications for different NSCLC scenarios, have led to immune checkpoint inhibitors (ICIs) becoming the cornerstone of NSCLC treatment. Therefore, the objective of this review is to describe the current and future perspectives of NSCLC treatment. Methods: A systematic review according to the PRISMA criteria has been performed based on clinical trials with immunotherapy in NSCLC from the start of these treatments until June 2022. Results: The use of ICIs is widespread across both first- and second-line treatments with anti-PD-1, anti-PD-L1, and anti-CTLA-4 drugs. New indications for immunotherapy in NSCLC have focused on adjuvant (atezolizumab) and neoadjuvant (nivolumab), with ICIs now present in all stages of NSCLC treatment. Given the promising results seen in clinical trials, new ICIs [anti- lymphocyte activation gene-3 (LAG-3) or IDO1] currently under development, will soon be used as standard treatment for NSCLC. Conclusions: Immunotherapy is the mainstay of NSCLC treatment in all stages, including adjuvant, neoadjuvant and advanced tumors. The development of new molecules will revolutionize the treatment of NSCLC in the coming years.

Growth exponents reflect evolutionary processes and treatment response in brain metastases.

Tumor growth is the result of the interplay of complex biological processes in huge numbers of individual cells living in changing environments. Effective simple mathematical laws have been shown to describe tumor growth in vitro, or simple animal models with bounded-growth dynamics accurately. However, results for the growth of human cancers in patients are scarce. Our study mined a large dataset of 1133 brain metastases (BMs) with longitudinal imaging follow-up to find growth laws for untreated BMs and recurrent treated BMs. Untreated BMs showed high growth exponents, most likely related to the underlying evolutionary dynamics, with experimental tumors in mice resembling accurately the disease. Recurrent BMs growth exponents were smaller, most probably due to a reduction in tumor heterogeneity after treatment, which may limit the tumor evolutionary capabilities. In silico simulations using a stochastic discrete mesoscopic model with basic evolutionary dynamics led to results in line with the observed data.

A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data.

Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial Intelligence (AI) has great potential to provide automated tools to assist in the management of disease. However, AI methods require large datasets for training and validation, and to date there have been just one publicly available imaging dataset of 156 BMs. This paper publishes 637 high-resolution imaging studies of 75 patients harboring 260 BM lesions, and their respective clinical data. It also includes semi-automatic segmentations of 593 BMs, including pre- and post-treatment T1-weighted cases, and a set of morphological and radiomic features for the cases segmented. This data-sharing initiative is expected to enable research into and performance evaluation of automatic BM detection, lesion segmentation, disease status evaluation and treatment planning methods for BMs, as well as the development and validation of predictive and prognostic tools with clinical applicability.

Stereotactic Radiotherapy for Hepatocellular Carcinoma, Radiosensitization Strategies and Radiation-Immunotherapy Combination.

Stereotactic body radiotherapy (SBRT) is an emerging ablative modality for hepatocellular carcinoma (HCC). Most patients with HCC have advanced disease at the time of diagnosis, and therefore, are not candidates for definitive-intent therapies such as resection or transplantation. For this reason, various alternative local and regional therapies have been used to prevent disease progression, palliate symptoms, and delay liver failure. Stereotactic body radiation therapy is a non-invasive technique of delivering ablative doses of radiation to tumors while sparing normal or non-tumor hepatic tissue. Incorporation of SBRT in multidisciplinary HCC management is gradual, initially applied when other liver-directed therapies have failed or are contraindicated, and tried in combination with other locoregional or systemic therapies for more unfavorable conditions by more experienced teams. In order to improve SBRT therapeutic ratio, there has been much interest in augmenting the effect of radiation on tumors by combining it with chemotherapy, molecularly targeted therapeutics, nanoparticles, and immunotherapy. This review aims to synthesize available evidence to evaluate the clinical feasibility and efficacy of SBRT for HCC, and to explore novel radio-potentiation concepts by combining SBRT with novel therapeutics. It is expected that those approaches would result in improved therapeutic outcomes, even though many questions remain with regard to the optimal way to assemble treatments. Further trials are needed to evaluate and consolidate these promising therapies for HCC.

The role of alexithymia and empathy on radiation therapists' professional quality of life.

BACKGROUND AND PURPOSE: Physical and mental well-being are crucial for oncology professionals as they affect performance at work. Personality traits, as alexithymia and empathy, may influence professional quality of life. Alexithymia involves diminished skills in emotion processing and awareness. Empathy is pertinent to the ability to understand another's 'state of mind/emotion'. The PROject on Burn-Out in RadiatioN Oncology (PRO BONO) investigates professional quality of life amongst radiation oncology professionals, exploring the role of alexithymia and empathy. The present study reports on data pertinent to radiation therapists (RTTs). MATERIAL AND METHODS: An online survey targeted ESTRO members. Participants were asked to fill out 3 questionnaires for alexithymia, empathy and professional quality of life: (a) Toronto Alexithymia Scale (TAS-20); (b) Interpersonal Reactivity Index (IRI); (c) Professional Quality of Life Scale (ProQoL). The present analysis focuses on RTTS to evaluate compassion satisfaction (CS), secondary traumatic stress (STS) and Burnout and their correlation with alexithymia and empathy, using generalized linear modeling. Covariates found significant at univariate linear regression analysis were included in the multivariate linear regression model. RESULTS: A total of 399 RTTs completed all questionnaires. The final model for the burnout scale of ProQoL found, as significal predictors, the TAS-20 total score (ß = 0.46, p < 0 0.001), and the individual's perception of being valued by supervisor (ß = -0.29, p < 0.001). With respect to CS, the final model included TAS-20 total score (ß = -0.33, p < 0.001), the Empatic Concern domain (ß = 0.23, p < 0.001) of the IRI questionnaire and the individual's perception of being valued by colleagues (ß = 0.22, p < 0.001). CONCLUSIONS: Alexithymia increased the likelyhood to experience burnout and negatively affected the professional quality of life amongst RTTs working in oncology. Empathy resulted in higher professional fulfillment together with collegaues' appreciation. These results may be used to benchmark preventing strategies and implement organization-direct and/or individual-directed interventions.

Pulmonary embolism and acro-ischemia in a lung cancer patient with COVID-19 / Tromboembolismo pulmonar y acro-isquemia en un paciente con cáncer de pulmón y COVID-19

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Professional quality of life and burnout amongst radiation oncologists: The impact of alexithymia and empathy.

BACKGROUND AND PURPOSE: Different factors may influence the professional quality of life of oncology professionals. Among them, personality traits, as alexithymia and empathy, are underinvestigated. Alexithymia is about deficits in emotion processing and awareness. Empathy is the ability to understand another's 'state of mind'/emotion. The PROject on BurnOut in RadiatioN Oncology (PRO BONO) assesses professional quality of life, including burnout, in the field of radiation oncology and investigates alexithymia and empathy as contributing factors. MATERIAL AND METHODS: An online survey was conducted amongst ESTRO members. Participants completed 3 validated questionnaires for alexithymia, empathy and professional quality of life: (a) Toronto Alexithymia Scale; (b) Interpersonal Reactivity Index; (c) Professional Quality of Life Scale. The present analysis, focusing on radiation/clinical oncologists, evaluates Compassion Satisfaction (CS), Secondary Traumatic Stress (STS) and Burnout and correlates them with alexithymia and empathy (empathic concern, perspective taking and personal distress) with generalized linear modeling. Significant covariates on univariate linear regression analysis were included in the multivariate linear regression model. RESULTS: A total of 825 radiation oncologists completed all questionnaires. A higher level of alexithymia was associated to decreased CS (ß: -0.101; SE: 0.018; p < 0.001), increased STS (ß: 0.228; SE: 0.018; p < 0.001) and burnout (ß: 0.177; SE: 0.016; p < 0.001). A higher empathic concern was significantly associated to increased CS (ß: 0.1.287; SE: 0.305; p = 0.001), STS (ß: 0.114; SE: 0.296; p < 0.001), with no effect on burnout. Personal distress was associated to decreased CS (ß: -1.423; SE: 0.275; p < 0.001), increased STS (ß: 1.871; SE: 0.283; p < 0.001) and burnout (ß: 1.504; SE: 0.245; p < 0.001). CONCLUSIONS: Alexithymic personality trait increased burnout risk, with less professional satisfaction. Empathic concern was associated to increased stress, without leading to burnout, resulting in higher professional fulfillment. These results may be used to benchmark preventing strategies, such as work-hour restrictions, peer support, debriefing sessions, and leadership initiatives for professionals at risk.

Professional quality of life and burnout among medical physicists working in radiation oncology: The role of alexithymia and empathy.

BACKGROUND AND PURPOSE: The professional quality of life of radiation oncology professionals can be influenced by different contributing factors, including personality traits. Alexithymia involves deficits in emotion processing and awareness. Empathy is the ability to understand another's 'state of mind/emotion'. We investigated professional quality of life, including burnout, in radiation oncology, exploring the role of alexithymia and empathy and targeting the population of medical physicists (MPs), since this professional category is usually underrepresented in surveys exploring professional well-being in radiation oncology and MPs may experience professional distress given the increasing complexity of multimodal cancer care. MATERIAL AND METHODS: An online survey was addressed to ESTRO members. Participants filled out three questionnaires to evaluate alexithymia, empathy and professional quality of life: a) Toronto Alexithymia Scale (TAS-20); b) Interpersonal Reactivity Index (IRI); c) Professional Quality of Life Scale (ProQoL). Professional quality of life as per ProQoL was considered as dependent variable. The three domains of the ProQoL, namely compassion satisfaction (CS), secondary traumatic stress (STS) and burnout were correlated with alexithymia (as per TAS-20) and empathy (as per IRI with three subcategories: empathic concern, perspective taking and personal distress) and demographic/professional characteristics as independent variables. Generalized linear modeling was used. Significant covariates on univariate linear regression analysis were included in the multivariate linear regression model. RESULTS: A total of 308 medical physicists completed all questionnaires. Alexithymia as per TAS-20 was correlated to decreased CS (ß = -0.25, p < 0 0.001), increased likelihood for STS (ß = 0.26, p < 0 0.001) and burnout (ß = 0.47, p < 0 0.001). With respect to empathy, the 'Empatic Concern' subscale of the IRI was found to be a significant predictor for increased CS (ß = 0.19, p = 0 0.001) and increased STS (ß = 0.19, p < 0 0.001), without significant correlation with burnout. The individual's perception of being valued by own's supervisor was correlated to increased CS (ß = 0.23, p < 0.001), and decreased burnout (ß = -0.29, p < 0.001). CONCLUSIONS: Alexithymic personality trait increased the likelihood to develop burnout, with less professional satisfaction amongst MPs working in radiation oncology. Empathy results in higher professional fulfilment. These results may be used to benchmark preventing strategies, including peer support, debriefing sessions, leadership initiatives and work-load limitation strategies.