A Population-Based Analysis of 30-Year Mortality among Five-Year Survivors of Adolescent and Young Adult Cancer: The Roles of Primary Cancer, Subsequent Malignancy, and Other Health Conditions

Mixture and Non-mixture Cure Models for Health Technology Assessment: What You Need to Know

There is increasing interest in the use of cure modelling to inform health technology assessment (HTA) due to the development of new treatments that appear to offer the potential for cure in some patients. However, cure models are often not included in evidence dossiers submitted to HTA agencies, and they are relatively rarely relied upon to inform decision-making. This is likely due to a lack of understanding of how cure models work, what they assume, and how reliable they are. In this tutorial we explain why and when cure models may be useful for HTA, describe the key characteristics of mixture and non-mixture cure models, and demonstrate their use in a range of scenarios, providing Stata code. We highlight key issues that must be taken into account by analysts when fitting these models and by reviewers and decision-makers when interpreting their predictions. In particular, we note that flexible parametric non-mixture cure models have not been used in HTA, but they offer advantages that make them well suited to an HTA context when a cure assumption is valid but follow-up is limited.

Long-term cause-specific mortality in adolescent and young adult Hodgkin lymphoma patients treated with contemporary regimens-A nationwide Danish cohort study

The documented treatment-induced excess mortality in Hodgkin lymphoma (HL) has spurred important treatment changes over recent decades. This study aimed to examine mortality among young HL patients treated with contemporary strategies, including historical data comparison. This nationwide study included 1348 HL patients, diagnosed in 1995-2015 and aged 15-40 at diagnosis. Among the patients, 66.5% had Ann Arbor stage I-II and 33.5% had stage III-IV disease. With a median follow-up of 14.76 years, 139 deaths occurred, yielding a 5-year overall survival of 94.6%. Older age, advanced disease, earlier treatment periods and extensive regimens were associated with higher overall mortality risk. The cumulative risk of HL-related death showed an initial sharp rise, with a plateau at 5.3% 10-year post-diagnosis. Deaths due to cardiovascular or pulmonary diseases and second cancers initially had minimal risk, gradually reaching 1.2% and 2.0% at the 20-year mark respectively. HL cases had a 7.5-fold higher mortality hazard than the background population. This study suggests that contemporary HL treatment still poses excess mortality risk, but recent changes have notably reduced overall and cause-specific mortality compared to earlier eras. Balancing treatment efficacy and toxicity remains crucial, but our findings highlight improved outcomes with modern treatment approaches.

Classic Hodgkin Lymphoma in Adolescents and Young Adults

Hodgkin lymphoma (HL) represents one of the more common cancers occurring in adolescent and young adults (AYAs) age 15-39 years. Despite a generally high cure rate, age-related differences in HL biology and the optimal therapeutic approaches including supportive care and risks for long-term adverse effects in the AYA population remain understudied. After an overview of HL epidemiology and biology in the AYA population, this review will cover frontline pediatric and adult treatment approaches. Recently completed and ongoing studies will foster harmonization of risk group definition and trial eligibility criteria across the AYA spectrum, enabling more rapid progress. In addition to treatment approaches, an evolving holistic care approach to AYA HL will result in enhanced understanding of unique challenges, and continued improved short- and long-term outcome for these patients.

Long-Term Risk of Subsequent Malignant Neoplasms Among Childhood and Adolescent Lymphoma Survivors (1975-2013): A Population-Based Predictive Nomogram

BACKGROUND

Studies are needed to assess risk factors pertinent to the incidence of secondary malignancies among childhood and adolescent lymphoma survivors. We aimed to identify risk factors pertinent to the incidence of secondary malignancies and subsequently establish a clinically practical predictive nomogram.

METHODS

A total of 5561 patients who were diagnosed with primary lymphoma below the age of 20 years between 1975 and 2013 and survived for at least 5 years were identified. Standardized incidence ratio (SIR) and excess risk (ER) analysis were performed by sex, age, and year when primary lymphoma was diagnosed, sites and types of primary lymphoma, and therapy strategies. Univariable and multivariable logistic regression were used to identify independent risk factors for adolescent and childhood lymphoma-related secondary malignancies. Based on 5 factors (age, time from lymphoma diagnosis, gender, lymphoma type, and therapy), a nomogram for predicting the risk of a secondary malignancy for patients with childhood and adolescent primary lymphoma was established.

RESULTS

Among 5561 lymphoma survivors, 424 developed a secondary malignancy. Females (SIR = 5.34, 95% CI, 4.73-5.99; ER = 50.58) exhibited a higher SIR and ER than males (SIR = 3.28, 95% CI, 2.76-3.87; ER = 15.53). Blacks were at a higher risk than Caucasians or others. Nodular lymphocyte-predominant Hodgkin lymphoma survivors exhibited typically high SIR (13.13, 95% CI, 6-24.92) and ER (54.79) among all lymphoma classifications. Lymphoma survivors who underwent radiotherapy, whether they received chemotherapy or not, had typically higher SIR and ER. Among all types of secondary malignancies, "bone and joint neoplasms" (SIR = 11.07, 95% CI, 5.52-19.81) and "soft tissue neoplasms" (SIR = 12.27, 95% CI, 7.59-18.76) presented significantly high SIR whereas "breast cancer" and "endocrine cancer" associated with higher ER. The median diagnosis age of secondary malignancies was 36 years old, and the median time interval between the diagnosis of two malignancies was 23 years. A nomogram was constructed to predict the risk of secondary malignancies in patients diagnosed with primary lymphoma before 20 years of age. After internal validation, the AUC and C-index of the nomogram are 0.804 and 0.804, respectively.

CONCLUSION AND RELEVANCE

The established nomogram provides a convenient and reliable tool for predicting the risk of a secondary malignancy among childhood and adolescent lymphoma survivors, concluding significant concern for lymphoma survivors with high-risk estimates.

The Childhood Cancer Data Initiative: Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer

Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer.

Prevalence and correlates of skin examination among ethnically diverse young adult survivors of childhood cancer

BACKGROUND

Skin cancer is the most common secondary malignancy among young adult childhood cancer survivors (YA-CCS). Skin examination to detect skin cancer early (including melanoma as well as basal or squamous cell skin cancers), both physician-based (PSE) and self-skin exam (SSE), is recommended, particularly for radiotherapy-exposed YA-CCS who are at high risk of developing skin cancer.

METHODS

Awareness and prevalence of skin examination and demographic, clinical, and healthcare correlates were examined in a population-based sample of YA-CCS with diverse cancer types excluding melanoma. Descriptive frequencies and logistic regression models were conducted using sample weights to correct for non-response bias with PSE, SSE and adherence to both as outcomes.

RESULTS

The sample comprised 1064 participants with 53% Latino. Eight percent of participants were aware of the need for skin examination; 9% reported receipt of PSE within past 2 years; 35% reported regular SSE; and 6% were adherent to both. Among the radiotherapy-treated, 10% were aware of the need for skin examination, 10% reported recent PSE; 38% reported regular SSE; and 8% were adherent to both. Healthcare and clinical factors including healthcare self-efficacy, engagement in cancer-related follow-up care, greater treatment intensity and greater number of treatment-related late effects were positively associated with PSE and SSE. Latino YA-CCS were less likely to engage in PSE and SSE.

CONCLUSION(S)

Adherence to recommended screening for skin cancer was low in this at-risk population, notably for YA-CCS exposed to radiotherapy. The development of effective strategies to expand skin cancer screening is needed in this at-risk population.

Cause of death during upper tract urothelial carcinoma survivorship: A contemporary, population-based analysis

Background

Very few studies have been published on the causes of death of upper tract urothelial carcinoma (UTUC). We sought to explore the mortality patterns of contemporary UTUC survivors.

Methods

We performed a retrospective cohort study involving patients with upper urinary tract carcinoma from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database (2000 and 2015). We used standardized mortality ratios (SMRs) to compare death rates among patients with UTUC in the general population and excess absolute risks (EARs) to quantify the disease-specific death burden.

Results

A total of 10,179 patients with UTUC, including 7,133 who died, were included in our study. In total, 302 (17.17%) patients with the localized disease died of UTUC; however, patients who died from other causes were 4.8 times more likely to die from UTUC (n = 1,457 [82.83%]). Cardiovascular disease was the most common non-cancer cause of death (n = 393 [22.34% of all deaths]); SMR, 1.22; 95% confidence intervals [CI], 1.1–1.35; EAR, 35.96). A total of 4,046 (69.99%) patients with regional stage died within their follow-up, 1,413 (34.92%) of whom died from UTUC and 1,082 (26.74%) of whom died from non-cancer causes. UTUC was the main cause of death (SMR, 242.48; 95% CI, 230–255.47; EAR, 542.47), followed by non-tumor causes (SMR, 1.18; 95% CI, 1.11–1.25; EAR, 63.74). Most patients (94.94%) with distant stage died within 3 years of initial diagnosis. Although UTUC was the leading cause of death (n = 721 [54.29%]), these patients also had a higher risk of death from non-cancer than the general population (SMR, 2.08; 95% CI, 1.67–2.56; EAR, 288.26).

Conclusions

Non-UTUC deaths accounted for 82.48% of UTUC survivors among those with localized disease. Patients with regional/distant stages were most likely to die of UTUC; however, there is an increased risk of dying from non-cancer causes that cannot be ignored. These data provide the latest and most comprehensive assessment of the causes of death in patients with UTUC.

Cause of Death During Renal Cell Carcinoma Survivorship: A Contemporary, Population-Based Analysis

Background

As the survival rates of patients with renal cell carcinoma (RCC) continue to increase, noncancer causes of death cannot be ignored. The cause-specific mortality in patients with RCC is not well understood.

Objective

Our study aimed to explore the mortality patterns of contemporary RCC survivors.

Methods

We performed a retrospective cohort study involving patients with RCC from the Surveillance, Epidemiology, and End Results (SEER) database. We used standardized mortality ratios (SMRs) to compare the death rates in patients with RCC with those in the general population.

Results

A total of 106,118 patients with RCC, including 39,630 who died (27%), were included in our study. Overall, compared with the general US population, noncancer SMRs were increased 1.25-fold (95% confidence intervals [CI], 1.22 to 1.27; observed, 11,235), 1.19-fold (95% CI, 1.14 to 1.24; observed, 2,014), and 2.24-fold (95% CI, 2.11 to 2.38; observed, 1,110) for stage I/II, III, and IV RCC, respectively. The proportion of noncancer causes of death increased with the extension of survival time. A total of 4,273 men with stage I/II disease (23.13%) died of RCC; however, patients who died from other causes were 3.2 times more likely to die from RCC (n = 14,203 [76.87%]). Heart disease was the most common noncancer cause of death (n = 3,718 [20.12%]; SMR, 1.23; 95% CI, 1.19–1.27). In patients with stage III disease, 3,912 (25.98%) died from RCC, and 2,014 (13.37%) died from noncancer causes. Most patients (94.99%) with stage IV RCC died within 5 years of initial diagnosis. Although RCC was the leading cause of death (n = 12,310 [84.65%]), patients with stage IV RCC also had a higher risk of noncancer death than the general population (2.24; 95% CI, 2.11–2.38).

Conclusions

Non-RCC death causes account for more than 3/4 of RCC survivors among patients with stage I/II disease. Patients with stage IV are most likely to die of RCC; however, there is an increased risk of dying from septicemia, and suicide cannot be ignored. These data provide the latest and most comprehensive assessment of the causes of death in patients with RCC.

Recent Advances in Pediatric Cancer Research

Over the past few years, the field of pediatric cancer has experienced a shift in momentum, and this has led to new and exciting findings that have relevance beyond pediatric malignancies. Here we present the current status of key aspects of pediatric cancer research. We have focused on genetic and epigenetic drivers of disease, cellular origins of different pediatric cancers, disease models, the tumor microenvironment, and cellular immunotherapies.