Increasing Annual Cancer Incidence in Patients Age 20-49 Years: A Real-Data Study.

PURPOSE: Data from population-based studies have shown an increased incidence of certain types of neoplasms in patients younger than 50 years (early-onset cancer [EOC]); however, little information is derived from other real-world data sources. In a nonpopulation registry, we analyzed changes in the incidence of several neoplasms in successive generations. METHODS: This cross-sectional study included all patients with a cancer diagnosis registered in one university hospital in Málaga, Spain, between 1998 and 2021, and 18 neoplasms were analyzed. For each neoplasm, the proportion of patients younger than 50 years and age 50 years and older (late-onset cancer [LOC]) of the total number of patients diagnosed each year was determined. In addition, the age limit was lowered to 45-40 years. Changes in these proportions between each year and the following year were assessed by calculating the annual percentage change (APC), and a final assessment of these changes was performed by determining the average APC (AAPC). RESULTS: Of the 24,596 patients, 5,466 (22.2%) had EOC, and 19,130 (77.8%) had LOC. The incidence of all tumors increased throughout the study period in both age groups. The AAPC increase was higher in patients with EOC than in those with LOC for the following neoplasms: head and neck (6.1% v 4.6%), colon (11.0% v 8.2%), testicular (16.3% v -13.1%), non-Hodgkin lymphoma (8.4% v 5.9%), rectum (16.1% v 6.8%), kidney (27.8% v 20.1%), and sarcoma (43.4% v 28.6%). This increase was confirmed in patients younger than 45 years and 40 years. CONCLUSION: Our results are consistent with the data published for most tumor sites analyzed. This global public health problem requires the utmost attention to decrease excess cancer in young patients.

Results of a survey on the treatment of adolescents and young adult (AYA) sarcoma patients in Spain at present time

Introduction We aimed to analyse health care services for adolescents and young adults (AYA) with sarcomas in Spain. Methods A survey was sent to all Spanish cancer centres, including questions about demographic, facilities, and treatment strategies for AYAs with sarcomas in the last 2 years. Results Thirty-five units participated in the survey, 17 paediatric and 15 adult units. There were three specialized AYA units. First line regimen varied depending on whether the treating unit was paediatric or not, for osteosarcomas, rhabdomyosarcomas, and non-rhabdomyosarcomas. By contrast, 91.4% of Ewing sarcomas were treated according to EE2012. In the relapse setting, differences between units were higher in all tumours. Additionally, 48% of the units reported not having trials for this population. Conclusion There are major differences in the treatment of AYAs with sarcomas between adult and paediatric units. Enormous efforts are needed to homogenize treatments and increase the access to innovation. (AU)

Design and implementation of a standard care programme of therapeutic exercise and education for breast cancer survivors.

BACKGROUND: Breast cancer survivors (BCS) face several symptoms and are at higher risk of weight gain following diagnosis. Current literature shows that both exercise and diet play a key role in recovery of BCS. However, there is a gap between current guidelines and the real-world context. The aim of this article is to describe the process behind a free, not-for-profit community-based therapeutic exercise and education programme (TEEP) for BCS in the clinical setting. METHODS: The "Onco-Health Club" (OHC) consists of therapeutic exercise (TE) intervention aimed at ameliorating cancer-related fatigue (CRF) and improving QoL and physical function. TE is supplemented with nutritional education, providing information about the Mediterranean diet. To this end, patients are recruited from an oncologist and are referred to a physiotherapist and a nutritionist for baseline assessment. TEEP consists of a 3-month intervention, delivered twice a week in a group format with 1 h of TE and 30 min of nutritional education. BCS then have a final assessment and are advised to continue with a healthy lifestyle. Data about referral, compliance and assessment were collected. RESULTS: From May 2017 to February of 2020, a total of 158 patients were recruited from 8 cohorts and 142 initially started the OHC. From 119 that joined the program, 96 patients were considered to have finished it with good adherence (assistance > 80%). BCS significantly improved their QoL, as well as upper and lower limb's function, and increased their level of physical activity. CRF tended to decrease (p = 0.005). CONCLUSIONS: This study obtained data on recruitment, compliance, and possible limitations of these kinds of programmes in a real-world context. Further research is needed in order to optimize patient engagement and compliance, as well as to determine the transferability of these programmes in the clinical setting. TRIAL REGISTRATION: NCT03879096, Registered 18th March 2019. Retrospectively registered.

Significant Decrease in Annual Cancer Diagnoses in Spain during the COVID-19 Pandemic: A Real-Data Study.

The COVID-19 pandemic has caused a profound change in health organizations at both the primary and hospital care levels. This cross-sectional study aims to investigate the impact of the COVID-19 pandemic in the annual rate of new cancer diagnosis in two university-affiliated hospitals. This study includes all the patients with a pathological diagnosis of cancer attended in two hospitals in Málaga (Spain) during the first year of pandemic. This study population was compared with the patients diagnosed during the previous year 2019. To analyze whether the possible differences in the annual rate of diagnoses were due to the pandemic or to other causes, the patients diagnosed during 2018 and 2017 were also compared. There were 2340 new cancer diagnosis compared to 2825 patients in 2019 which represented a decrease of -17.2% (p = 0.0001). Differences in the number of cancer patients diagnosed between 2018 and 2019 (2840 new cases; 0.5% increase) or 2017 and 2019 (2909 new cases; 3% increase) were not statistically significant. The highest number of patients lost from diagnosis in 2020 was in breast cancer (-26.1%), colorectal neoplasms (-16.9%), and head and neck tumors (-19.8%). The study of incidence rates throughout the first year of the COVID-19 pandemic shows that the diagnosis of new cancer patients has been significantly impaired. Health systems must take the necessary measures to restore pre-pandemic diagnostic procedures and to recover lost patients who have not been diagnosed.

Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient response. In the era of personalised oncology, new approaches for developing predictive models of response are needed. MATERIALS AND METHODS: Data derived from the electronic health records (EHRs) of real-world patients with HR+/HER2-negative advanced breast cancer were used to develop predictive models for early and late progression to first-line treatment. Two machine learning approaches were used: a classic approach using a data set of manually extracted features from reviewed (EHR) patients, and a second approach using natural language processing (NLP) of free-text clinical notes recorded during medical visits. RESULTS: Of the 610 patients included, there were 473 (77.5%) progressions to first-line treatment, of which 126 (20.6%) occurred within the first 6 months. There were 152 patients (24.9%) who showed no disease progression before 28 months from the onset of first-line treatment. The best predictive model for early progression using the manually extracted dataset achieved an area under the curve (AUC) of 0.734 (95% CI 0.687-0.782). Using the NLP free-text processing approach, the best model obtained an AUC of 0.758 (95% CI 0.714-0.800). The best model to predict long responders using manually extracted data obtained an AUC of 0.669 (95% CI 0.608-0.730). With NLP free-text processing, the best model attained an AUC of 0.752 (95% CI 0.705-0.799). CONCLUSIONS: Using machine learning methods, we developed predictive models for early and late progression to first-line treatment of HR+/HER2-negative metastatic breast cancer, also finding that NLP-based machine learning models are slightly better than predictive models based on manually obtained data.

Energy System Assessment in Survivors of Breast Cancer.

BACKGROUND: Survivors of breast cancer commonly report functional limitations, including cancer-related fatigue (CRF) and decreased aerobic capacity. One key gap is addressing the 3 energy systems (aerobic, anaerobic lactic, and alactic), requiring assessment to establish a baseline exercise intensity and duration. OBJECTIVE: This study examined the feasibility of energy system-based assessment, also providing descriptive values for assessment performance in this population. DESIGN: This was a cross-sectional study. METHODS: Seventy-two posttreatment survivors of breast cancer were recruited. Following a baseline musculoskeletal assessment, women attempted 3 energy system assessments: submaximal aerobic (multistage treadmill), anaerobic alactic (30-second sit-to-stand [30-STS]), and anaerobic lactic (adapted burpees). Heart rate (HR) and rating of perceived exertion (RPE) were recorded. Secondary outcomes included body composition, CRF, and upper- and lower-limb functionality. RESULTS: Seventy of 72 participants performed the 30-STS and 30 completed the adapted burpees task. HR and RPE specific to each task were correlated, reflecting increased intensity. Women reported low-moderate levels of CRF scores (3% [2.1]) and moderate-high functionality levels (upper-limb: 65.8% [23.3]; lower-limb: 63.7% [34.7]). LIMITATIONS: All survivors of breast cancer had relatively low levels of CRF and moderate functioning. Additionally, on average, participants were classified as "overweight" based on BMI. CONCLUSION: This study is the first to our knowledge to demonstrate feasibility of energy system assessment in survivors of breast cancer. Using a combination of HR and RPE, as well as baseline assessment of each energy system, clinicians may improve ability to prescribe personalized exercise and give patients greater ability to self-monitor intensity and progress.