The impact of inter-cycle treatment delays on overall survival in patients with advanced-stage ovarian cancer.

INTRODUCTION: Chemotherapy forms the cornerstone of systemic treatment for advanced ovarian cancer, extending overall survival; however, drug-related toxicity can lead to treatment delays, potentially diminishing treatment efficacy. This study evaluated the impact of treatment delays on all-cause mortality of patients with ovarian cancer, to better inform decisions on patient management. METHODS: This retrospective, population-based cohort study included 1517 women with advanced-stage ovarian cancer, receiving first-line adjuvant or neoadjuvant chemotherapy in 2014 and 2015. The frequency of inter-cycle delays >7 days was calculated using drug administration dates. Kaplan-Meier estimates were used to compare 2-year overall survival (OS) between patients who were delayed and those treated to schedule. Cox proportional hazards regression was used to investigate the impact of treatment delay on all-cause mortality. Inverse probability of treatment weighting propensity scores were used to adjust for confounding variables. RESULTS: Delays >7 days occurred in 35.3% of patients. Two-year OS probability was 62.7% in patients who experienced treatment delays >7 days (95% CI, 58.7-66.9) compared to 69.1% in those treated to schedule (95% CI, 66.2-72.0). Delays were not significantly associated with all-cause mortality when adjusted for confounders (HR 1.00 95% CI, 0.83-1.20, P = .9). CONCLUSIONS: Delays to chemotherapy treatment were not significantly associated with worsened survival in patients with advanced-stage ovarian cancer. These results can inform clinical decision making that prioritize toxicity management and quality of life for those treated with chemotherapy.

Regional differences in neo/adjuvant chemotherapy timing in patients with early-stage triple-negative breast cancer in England.

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive breast cancer histological type that is predictive of poor outcomes, shorter remission periods and reduced survival. TNBC is treated with surgery and neo/adjuvant chemotherapy, with evidence of association between longer periods from surgery to adjuvant chemotherapy (time to chemotherapy, TTC) and poorer survival outcomes. This study investigated regional differences in TTC period between regions and ethnic groups to evaluate equity of care in the English TNBC population. Time from neoadjuvant chemotherapy to surgery (time to surgery, TTS) was also compared between groups. METHODS: This retrospective cohort study compared TTC and TTS periods in TNBC patients in England over a two-year period. TTC and TTS were compared by English region and ethnicity, testing for significant differences in treatment pathway timing by these demographics. RESULTS: 1347 TNBC patients were included in the study. Significant regional differences in TTC were observed, with the longest median period of 50 days (IQR 36, 83) in the Midlands compared to 38 days (IQR 27, 55) in the North West (p < 0.001). No significant differences in TTS were observed between regions. Ethnicity was not significantly associated with timeliness of neo/adjuvant chemotherapy initiation (p > 0.05). CONCLUSION: These findings suggest regional differences in TTC for patients treated with surgery and chemotherapy for TNBC. Given evidence of increased mortality risk as the TTC period increases, the causes of regional disparities warrant further investigation. This study can inform targets for improvement in the delivery of adjuvant chemotherapy in cancer treatment centres in England.

A systematic review of ethnic minority participation in randomised controlled trials of systemic therapies for gynecological cancers.

OBJECTIVE: Randomised controlled trials (RCTs) must include ethnic minority patients to produce generalisable findings and ensure health equity as cancer incidence rises globally. This systematic review examines participation of ethnic minorities in RCTs of licensed systemic anti-cancer therapies (SACT) for gynecological cancers, defining the research population and distribution of research sites to identify disparities in participation on the global scale. METHODS: A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Phase II and III RCTs of licensed therapies for gynecological cancers published 01/11/2012-01/11/2022 that reported patient race/ethnicity were included. Extracted data included race/ethnicity and research site location. RCT populations were aggregated and participation of groups compared. Global distribution of research sites was described. RESULTS: 26 RCTs met inclusion criteria of 351 publications included in full-text screening, representing 17,041 patients. 79.8% were "Caucasian", 9.1% "East Asian", 3.7% "Black/African American" and 6.1% "Other, Unknown, Not Reported". "Caucasian" patients participated at higher rates than all other groups. Of 5,478 research sites, 80.1% were located in North America, 13.0% in Europe, 3.4% in East Asia, 1.3% in the Middle East, 1.3% in South America and 0.8% in Australasia. CONCLUSIONS: Ethnic minorities formed smaller proportions of RCT cohorts compared to the general population. The majority of sites were located in North America and Europe, with few in other regions, limiting enrollment of South Asian, South-East Asian and African patients in particular. Efforts to recruit more ethnic minority patients should be made in North America and Europe. More sites in underserved regions would promote equitable access to RCTs and ensure findings are generalisable to diverse groups. This review assessed the global population enrolled in contemporary RCTs for novel therapies now routinely given for gynecological cancers, adding novel understanding of the global distribution of research sites.

Out-of-hours admissions in patients treated with immune checkpoint inhibitors and their primary management with steroids.

INTRODUCTION: The incidence of immune-related adverse events (irAEs) from immune checkpoint inhibitors (ICI) is well described. However, the impact on emergency care services is not. This study investigated the incidence of irAEs out-of-hours, and the management used to mitigate symptoms and side effects. METHODS: This retrospective cohort study reviewed all emergency presentations triaged by the acute oncology team between December 2021 and June 2022, between 5 pm and 9 am. Patients were identified from triage audit sheets and remaining data points were retrieved from electronic health records. Inclusion criteria included all adult patients admitted on an ICI at one tertiary centre. RESULTS: In 7 months, 970 patients called the acute oncology helpline 11% (n = 109) of patients were on an ICI treatment. After clinical review, 78% (n = 70) resulted in hospital admissions, with length of stay cumulating to 496 bed days. 56% (n = 39) of patients delayed reporting symptoms, ranging between 12 hours and 10 days from symptom onset to seeking support. 49% (n = 34) patients received steroids to manage suspected irAEs. Dexamethasone was the most common steroid used in 71% (n = 24) of patients, and variation was found in prescribed doses. CONCLUSIONS: These results underline the urgent need to address patient and staff education on adverse effects related to ICI. Patients require a comprehensive understanding of the symptoms and importance of prompt reporting. Staff education on recognition and treatment management is needed to reduce variation in practice. Further research is needed to identify barriers in symptom reporting and focus on realtime reporting to reduce the out-of-hours burden on services.

The impact of inter-cycle treatment delays on 5-year all-cause mortality in early-stage breast cancer: A retrospective cohort study.

BACKGROUND: Inter-cycle delays to chemotherapy are often required to manage drug toxicity. The impact of delays on mortality is poorly characterised. This retrospective cohort study examined the association of treatment delay with all-cause mortality in early-stage breast cancer. METHODS: This real-world analytical study included adult women with stage 2 or 3 breast cancer receiving first-line (neo-)adjuvant chemotherapy between 01/01/2014 and 31/12/2015 in England. Inter-cycle delays > 7 days during the treatment period were calculated, and the association of treatment delay with 5-year all-cause mortality was investigated. Survival was compared between patients experiencing treatment delay and those completing treatment to schedule using landmark methodology and Kaplan-Meier (KM) estimator. Cox proportional hazards regression was used to investigate the impact of delay on survival, using inverse probability of treatment weighting to adjust for confounding variables. RESULTS: 8567 patients were included. 17 % (1448) experienced inter-cycle delay > 7 days during the treatment period. 1120 (13 %) women had died at the end of the 5-year follow up period. Median follow-up time was 5.5 years. Survival probability was significantly lower in patients experiencing treatment delay by KM estimator analysis (p < 0.0001). Cox proportional hazards regression demonstrated a significant positive association between delay and 5-year all-cause mortality (HR 1.33 95 % CI 1.12-1.61, p < 0.001). CONCLUSIONS: This is the largest study of its kind demonstrating an association between treatment delay and all-cause mortality. These findings support interventions to improve toxicity management allowing completion of chemotherapy to schedule where patients experience treatment delay due to treatment-related toxicity or hospital capacity pressures.

Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function.

BACKGROUND: In those receiving chemotherapy, renal and hepatic dysfunction can increase the risk of toxicity and should therefore be monitored. We aimed to develop a machine learning model to identify those patients that need closer monitoring, enabling a safer and more efficient service. METHODS: We used retrospective data from a large academic hospital, for patients treated with chemotherapy for breast cancer, colorectal cancer and diffuse-large B-cell lymphoma, to train and validate a Multi-Layer Perceptrons (MLP) model to predict the outcomes of unacceptable rises in bilirubin or creatinine. To assess the performance of the model, validation was performed using patient data from a separate, independent hospital using the same variables. Using this dataset, we evaluated the sensitivity and specificity of the model. RESULTS: 1214 patients in total were identified. The training set had almost perfect sensitivity and specificity of >0.95; the area under the curve (AUC) was 0.99 (95% CI 0.98-1.00) for creatinine and 0.97 (95% CI: 0.95-0.99) for bilirubin. The validation set had good sensitivity (creatinine: 0.60, 95% CI: 0.55-0.64, bilirubin: 0.54, 95% CI: 0.52-0.56), and specificity (creatinine 0.98, 95% CI: 0.96-0.99, bilirubin 0.90, 95% CI: 0.87-0.94) and area under the curve (creatinine: 0.76, 95% CI: 0.70, 0.82, bilirubin 0.72, 95% CI: 0.68-0.76). CONCLUSIONS: We have demonstrated that a MLP model can be used to reduce the number of blood tests required for some patients at low risk of organ dysfunction, whilst improving safety for others at high risk.