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Purpose Patients diagnosed with advanced-stage Hodgkin lymphoma (aHL) have historically been risk-stratified using the International Prognostic Score (IPS). This study investigated if a machine learning (ML) approach could outperform existing models when it comes to predicting overall survival (OS) and progression-free survival (PFS). Patients and Methods This study used patient data from the Danish National Lymphoma Register for model development (development cohort). The ML model was developed using stacking, which combines several predictive survival models (Cox proportional hazard, flexible parametric model, IPS, principal component, penalized regression) into a single model, and was compared with two versions of IPS (IPS-3 and IPS-7) and the newly developed aHL international prognostic index (A-HIPI). Internal model validation was performed using nested cross-validation, and external validation was performed using patient data from the Swedish Lymphoma Register and Cancer Registry of Norway (validation cohort). Results In total, 707 and 760 patients with aHL were included in the development and validation cohorts, respectively. Examining model performance for OS in the development cohort, the concordance index (C-index) for the ML model, IPS-7, IPS-3, and A-HIPI was found to be 0.789, 0.608, 0.650, and 0.768, respectively. The corresponding estimates in the validation cohort were 0.749, 0.700, 0.663, and 0.741. For PFS, the ML model achieved the highest C-index in both cohorts (0.665 in the development cohort and 0.691 in the validation cohort). The time-varying AUCs for both the ML model and the A-HIPI were consistently higher in both cohorts compared with the IPS models within the first 5 years after diagnosis. Conclusion The new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded a limited improvement in predictive performance compared with the A-H, PURPOSE: Patients diagnosed with advanced-stage Hodgkin lymphoma (aHL) have historically been risk-stratified using the International Prognostic Score (IPS). This study investigated if a machine learning (ML) approach could outperform existing models when it comes to predicting overall survival (OS) and progression-free survival (PFS). PATIENTS AND METHODS: This study used patient data from the Danish National Lymphoma Register for model development (development cohort). The ML model was developed using stacking, which combines several predictive survival models (Cox proportional hazard, flexible parametric model, IPS, principal component, penalized regression) into a single model, and was compared with two versions of IPS (IPS-3 and IPS-7) and the newly developed aHL international prognostic index (A-HIPI). Internal model validation was performed using nested cross-validation, and external validation was performed using patient data from the Swedish Lymphoma Register and Cancer Registry of Norway (validation cohort). RESULTS: In total, 707 and 760 patients with aHL were included in the development and validation cohorts, respectively. Examining model performance for OS in the development cohort, the concordance index (C-index) for the ML model, IPS-7, IPS-3, and A-HIPI was found to be 0.789, 0.608, 0.650, and 0.768, respectively. The corresponding estimates in the validation cohort were 0.749, 0.700, 0.663, and 0.741. For PFS, the ML model achieved the highest C-index in both cohorts (0.665 in the development cohort and 0.691 in the validation cohort). The time-varying AUCs for both the ML model and the A-HIPI were consistently higher in both cohorts compared with the IPS models within the first 5 years after diagnosis. CONCLUSION: The new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded a limited improvement in predictive performance compared with the A-HIPI.

Cardiovascular diseases, especially congestive heart failure (CHF), are known complications of anthracyclines, but the risk for patients undergoing high-dose chemotherapy and autologous stem cell transplant (HDT-ASCT) is not well established. With T-cell therapies emerging as alternatives, studies of long-term complications after HDT-ASCT are warranted. Danish patients treated with HDT-ASCT for aggressive lymphoma between 2001 and 2017 were matched 1:5 on sex, birth year and Charlson comorbidity score to the general population. Events were captured using nationwide registers. A total of 787 patients treated with HDT-ASCT were identified. Median follow-up was 7.6 years. The risk of CHF was significantly increased in the HDT-ASCT population compared to matched comparators with an adjusted hazard ratio (HR) of 5.5 (3.8–8.1). The 10-year cumulative incidence of CHF was 8.0% versus 2.0% (p < 0.001). Male sex, ≥2 lines of therapy, hypertension and cumulative anthracycline dose (≥300 mg/m2) were risk factors for CHF. In a separate cohort of 4089 lymphoma patients, HDT-ASCT was also significantly associated with increased risk of CHF (adjusted HR of 2.6 [1.8–3.8]) when analysed as a time-dependent exposure. HDT-ASCT also increased the risk of other cardiac diseases. These findings are applicable for the benefit/risk assessment of HDT-ASCT versus novel therapies.

Childbirth rates in classical Hodgkin lymphoma (cHL) survivors have historically been reduced compared to the general population. Understanding if contemporary treatment protocols are associated with reduced fertility is crucial as treatment guidelines shift toward more liberal use of intensive chemotherapy. We identified 2834 individuals aged 18-40 years with cHL in Swedish and Danish lymphoma registers, and in the clinical database at Oslo University Hospital diagnosed 1995-2018, who were linked to national medical birth registers. Cox regression adjusted for stage, performance status, year, and age at diagnosis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) contrasting time to first childbirth by treatment groups (ABVD, 2-4 BEACOPP, 6-8 BEACOPP) up to 10 years after diagnosis. Overall, 74.8% of patients were treated with ABVD, 3.1% with 2-4 BEACOPP and 11.2% with 6-8 BEACOPP. Adjusted HRs comparing childbirth rates in individuals treated with 6-8 BEACOPP, and 2-4 BEACOPP to ABVD were 0.53 (CI: 0.36-0.77) and 0.33 (CI: 0.12-0.91) for males, and 0.91 (CI: 0.61-1.34) and 0.38 (CI: 0.12-1.21) for females. Cumulative incidence of childbirths after 10 years was 19.8% (CI: 14.5%-27.0%) for males and 34.3% (CI: 25.8%-45.6%) for females treated with 6-8 BEACOPP. Proportions of children born after assisted reproductive technique (ART) treatments were 77.4% (CI: 60.2-88.6%) for males following 6-8 BEACOPP, and <11% for females. Among ABVD treated patients the corresponding proportions were 12.2% (CI: 8.5%-17.3%) and 10.6% (CI: 7.4%-14.9%). BEACOPP treatment is associated with decreased childbirth rates compared to ABVD in male, but not female, cHL patients, despite widespread access to ART in the Nordics.

BACKGROUND: Gonadotropin-releasing hormone agonists (GnRHa) cotreatment used to transiently suppress ovarian function during chemotherapy to prevent ovarian damage and preserve female fertility is used globally but efficacy is debated. Most clinical studies investigating a beneficial effect of GnRHa cotreatment on ovarian function have been small, retrospective and uncontrolled. Unblinded randomised studies on women with breast cancer have suggested a beneficial effect, but results are mixed with lack of evidence of improvement in markers of ovarian reserve. Unblinded randomised studies of women with lymphoma have not shown any benefit regarding fertility markers after long-term follow-up and no placebo-controlled study has been conducted so far. The aim of this study is to investigate if administration of GnRHa during cancer treatment can preserve fertility in young female cancer patients in a double-blind, placebo-controlled clinical trial. METHODS AND ANALYSIS: A prospective, randomised, double-blinded, placebo-controlled, phase III study including 300 subjects with breast cancer. In addition, 200 subjects with lymphoma, acute leukemias and sarcomas will be recruited. Women aged 14-42 will be randomised 1:1 to treatment with GnRHa (triptorelin) or placebo for the duration of their gonadotoxic chemotherapy. Follow-up until 5 years from end of treatment (EoT). The primary endpoint will be change in anti-Müllerian hormone (AMH) recovery at follow-up 12 months after EoT, relative to AMH levels at EoT, comparing the GnRHa group and the placebo group in women with breast cancer. ETHICS AND DISSEMINATION: This study is designed in accordance with the principles of Good Clinical Practice (ICH-GCP E6 (R2)), local regulations (ie, European Directive 2001/20/EC) and the ethical principles of the Declaration of Helsinki. Within 6 months of study completion, the results will be analysed and the study results shall be reported in the EudraCT database. STUDY REGISTRATION: The N

Previous studies concerning reproductive patterns among non-Hodgkin lymphoma (NHL) survivors are scarce and those available have reported conflicting results. Treatment regimens vary considerably between aggressive and indolent NHL and studies of reproductive patterns by subtypes are warranted. In this matched cohort study, we identified all NHL patients aged 18-40 years and diagnosed between 2000 and 2018 from the Swedish and Danish lymphoma registers, and the clinical database at Oslo University Hospital (n = 2090). Population comparators were matched on sex, birth year and country (n = 19 427). Hazard ratios (HRs) were estimated using Cox regression. Males and females diagnosed with aggressive lymphoma subtypes had lower childbirth rates (HRfemale: 0.43, 95% CI: 0.31-0.59, HRmale: 0.61, 95% CI: 0.47-0.78) than comparators during the first 3 years after diagnosis. For indolent lymphomas, childbirth rates were not significantly different from comparators (HRfemale: 0.71, 95% CI: 0.48-1.04, HRmale: 0.94, 95% CI: 0.70-1.27) during the same period. Childbirth rates reached those of comparators for all subtypes after 3 years but the cumulative incidence of childbirths was decreased throughout the 10-year follow-up for aggressive NHL. Children of NHL patients were more likely to be born following assisted reproductive technology than those of comparators, except for male indolent lymphoma patients. In conclusion, fertility counselling is particularly important for patients with aggressive NHL.

Purpose: With modern treatments, mantle cell lymphoma (MCL) patients more frequently experience long-lasting remission resulting in a growing population of long-term survivors. Follow-up care includes identification and management of treatment-related late-effects, such as secondary malignancies (SM). We conducted a populationbased study to describe the burden of SM in MCL patients. Methods: All patients with a primary diagnosis of MCL, aged >= 18 years and diagnosed between 2000 and 2017 in Sweden were included along with up to 10 individually matched population comparators. Follow-up was from twelve months after diagnosis/matching until death, emigration, or December 2019, whichever occurred first. Rates of SM among patients and comparators were estimated using the Anderson-Gill method (accounting for repeated events) and presented as hazard ratios (HR) with 95% confidence intervals (CI) adjusted for age at diagnosis, calendar year, sex, and the number of previous events. Results: Overall, 1 452 patients and 13 992 comparators were followed for 6.6 years on average. Among patients, 230 (16%) developed at least one SM, and 264 SM were observed. Relative to comparators, patients had a higher rate of SM, HRadj= 1.6 (95%CI:1.4-1.8), and higher rates were observed across all primary treatment groups: the Nordic-MCL2 protocol, R-CHOP, R-bendamustine, ibrutinib, lenalidomide, and R-CHOP/Cytarabine. Compared to Nordic-MCL2, treatment with R-bendamustine was independently associated with an increased risk of SM, HRadj= 2.0 (95%CI:1.3-3.2). Risk groups among patients were those with a higher age at diagnosis (p < 0.001), males (p = 0.006), and having a family history of lymphoma (p = 0.009). Patients had preferably higher risk of melanoma, other neoplasms of the skin and other hematopoietic and lymphoid malignancies. Conclusions: MCL survivors have an increased risk of SM, particularly if treated with R-bendamustine. The intensive treatments needed for long-term remis

Purpose: Improved predictive tools are desired in classic Hodgkin lymphoma (cHL) to improve prognostication and to better risk stratify patients (pts) for clinical trials. In younger pts who tolerate intensive therapies, focus has been on limiting late treatment toxicity through risk-adapted, PET-guided treatment strategy. In older pts, acute treatment toxicities are limiting factors for optimal disease control. Due to these fundamental differences, predictive tools may perform differently in younger and older pts. In particular, tools developed in younger pts may be suboptimal in older populations and vice versa. The primary objective of this study was to assess the performance of the A-HIPI (development was limited to 18-65 years of age) against the international prognostic score (IPS) for modelling overall survival (OS) and progression-free survival (PFS) in younger and older pts with cHL.

Background Second primary malignancies (SPMs) are known complications after chemotherapy, but the risk is not well characterised for patients with lymphoma treated with high-dose chemotherapy and autologous haematopoietic stem-cell transplantation (HSCT). We aimed to investigate the rate of SPMs in this population relative to matched control individuals from the general population. Methods In this retrospective, population-based cohort study, patients aged 18 years or older with an aggressive lymphoma who received high-dose chemotherapy and autologous HSCT in Denmark between Jan 1, 2001, and Dec 31, 2017, were included from the Danish Lymphoma Registry and matched (1:5) to control individuals from the general population on birth year and sex via the Danish Civil Registration System. Patients were eligible if they had a registered date of autologous HSCT and patients with primary CNS lymphoma were excluded. Exclusion criteria for both patients and matched control individuals were HIV infection, organ transplantation, or other malignancies before inclusion. The key endpoint was the incidence of SPMs assessed in all study participants. The effect of treatment on SPMs was also investigated in patients who were followed up from first lymphoma diagnosis, with high-dose chemotherapy and autologous HSCT as a time-dependent exposure. Findings Of 910 patients with lymphoma assessed, 803 were included (537 [67%] were male and 266 [33%] were female); 4015 matched control individuals were included (2685 [67%] were male and 1330 [33%] were female). Ethnicity data were not available. Median follow-up was 7·76 years (IQR 4·77–11·73). The SPM rate was higher among patients receiving high-dose chemotherapy and autologous HSCT than matched control individuals (adjusted hazard ratio [HR] 2·35, 95% CI 1·93–2·87, p<0·0001). Patients receiving high-dose chemotherapy and autologous HSCT had a higher rate of non-melanoma skin cancer (2·94, 2·10–4·11, p<0·, Background: Second primary malignancies (SPMs) are known complications after chemotherapy, but the risk is not well characterised for patients with lymphoma treated with high-dose chemotherapy and autologous haematopoietic stem-cell transplantation (HSCT). We aimed to investigate the rate of SPMs in this population relative to matched control individuals from the general population. Methods: In this retrospective, population-based cohort study, patients aged 18 years or older with an aggressive lymphoma who received high-dose chemotherapy and autologous HSCT in Denmark between Jan 1, 2001, and Dec 31, 2017, were included from the Danish Lymphoma Registry and matched (1:5) to control individuals from the general population on birth year and sex via the Danish Civil Registration System. Patients were eligible if they had a registered date of autologous HSCT and patients with primary CNS lymphoma were excluded. Exclusion criteria for both patients and matched control individuals were HIV infection, organ transplantation, or other malignancies before inclusion. The key endpoint was the incidence of SPMs assessed in all study participants. The effect of treatment on SPMs was also investigated in patients who were followed up from first lymphoma diagnosis, with high-dose chemotherapy and autologous HSCT as a time-dependent exposure. Findings: Of 910 patients with lymphoma assessed, 803 were included (537 [67%] were male and 266 [33%] were female); 4015 matched control individuals were included (2685 [67%] were male and 1330 [33%] were female). Ethnicity data were not available. Median follow-up was 7·76 years (IQR 4·77–11·73). The SPM rate was higher among patients receiving high-dose chemotherapy and autologous HSCT than matched control individuals (adjusted hazard ratio [HR] 2·35, 95% CI 1·93–2·87, p<0·0001). Patients receiving high-dose chemotherapy and autologous HSCT had a higher rate of non-melanoma skin cancer (2·94, 2·10–4·11, p<0·0001) and of myelodyspla