Cancer最新文献

Background: Androgen-deprivation therapy (ADT) remains a cornerstone in treatment for patients with advanced prostate cancer. ADT is associated with several adverse effects, including osteoporosis, metabolic syndrome, and cardiovascular events, leading to guidelines recommending routine testing to monitor for these toxicities. There is a lack of data assessing adherence to these recommendations.

Methods: The authors conducted a retrospective cohort study using administrative data from Ontario, Canada between 2008 and 2021. They identified all older men (aged 65 years and older) who received ADT for prostate cancer using comprehensive provincial health databases. The primary outcomes were the use of testing for lipids, dysglycemia (glucose), bone health serum, and bone density between 6 weeks before and 1 year after the initiation of ADT.

Results: In total, 29,097 patients were examined, of whom 52.8% were prescribed ADT by urologists, 37.9% were prescribed ADT by radiation oncologists, 2.8% were prescribed ADT by medical oncologists, and 2.4% were prescribed ADT by other physicians. Adherence to guidelines was low: only 21.3% of patients received a bone density scan, 41.2% underwent bone health-related serum tests, 51.3% completed a lipid profile, and 65.9% underwent dysglycemia testing within 1 year of diagnosis. Overall, only 11.9% of patients received all of the recommended investigations. Adherence to testing did not appear to improve over time (2008-2021) or with guideline publication. Patient (age) and physician (specialty) factors had important associations with adherence to testing.

Conclusions: Most patients receiving ADT for prostate cancer do not receive recommended testing to monitor for treatment-related toxicity. Further study is required to address barriers to therapeutic monitoring of men on ADT and to reduce treatment-associated adverse events.

Introduction: Many childhood cancer survivors are at risk for cardiovascular disease and stroke. The North American Children's Oncology Group long-term follow-up guidelines recommend carotid ultrasound in cancer survivors 10 years after neck radiation therapy (RT) ≥40 Gy. The use of carotid ultrasound in this population has not been described.

Methods: Survivors of childhood cancer diagnosed 1970-1999 (N = 8693) and siblings (N = 1989) enrolled in the Childhood Cancer Survivor Study were asked if they had ever had a carotid ultrasound. Prevalence of carotid ultrasound was evaluated. Prevalence ratios (PR) and 95% confidence intervals (CIs) were evaluated in multivariate Poisson regression models.

Results: Among participants with no reported cardiovascular condition, prevalence of carotid ultrasound among survivors with RT ≥40 Gy to the neck (N = 172) was 29.7% (95% CI, 22.5-36.8), significantly higher than those with <40 Gy (prevalence 10.7%; 95% CI, 9.9%-11.4%). Siblings without a cardiovascular condition (N = 1621) had the lowest prevalence of carotid ultrasound (4.7%; 95% CI, 3.6%-5.7%). In a multivariable models among survivors with no reported cardiovascular condition and RT ≥40 Gy to the neck, those who were over age 50 (vs. 18-49) at follow-up (PR = 1.82; 95% CI, 1.09-3.05), with a history of seeing a cancer specialist in the last 2 years (PR = 2.58; 95% CI, 1.53-4.33), or having a colonoscopy (PR = 2.02; 95% CI, 1.17-3.48) or echocardiogram (PR = 6.42; 95% CI, 1.54-26.85) were more likely to have had a carotid ultrasound.

Conclusion: Many survivors do not undergo carotid ultrasound despite meeting existing guidelines. Health care delivery features such as having seen a cancer specialist or having other testing are relevant.

Background: Little is known about financial toxicity in early-phase clinical trial (EP-CT) participants. This study sought to describe financial toxicity in EP-CT participants and assess associations with patient characteristics and patient-reported outcomes (PROs).

Methods: Prospectively enrolled EP-CT participants from were followed from April 2021 through January 2023. Participants completed the Comprehensive Score for Financial Toxicity (<26 = financial toxicity) at time of treatment. Quality of life (QOL), symptoms, coping, and resource concerns were surveyed. Associations of financial toxicity with patient characteristics, PROs, and clinical outcomes were explored.

Results: Of 261 eligible patients, 197 completed baseline assessments (75.5%, median age = 63.4 years [31.8-88.6], 57.4% female). Most common cancers were gastrointestinal (33.0%) and breast (20.8%). More than one third (34.0%) of patients reported financial toxicity. Patients with financial toxicity were more likely to be <65 years (70.2% vs 48.5%, p = .004), unemployed (45.5% vs 16.9%, p < .001), not have attended college (53.1% vs 26.4%, p = .002), and have income <$60,000 (59.7% vs 25.4%, p < .001). In adjusted models, patients with financial toxicity reported lower QOL (B = -6.66, p = .004) and acceptance (B = -0.78, p = .002), and increased self-blame (B = 0.87, p < .001). They were more likely to have concerns regarding housing (10.6% vs 2.3%, p = .025), bills (31.8% vs 3.8%, p < .001), food (9.1% vs 0.8%, p = .006), and employment (21.2% vs 1.5%, p < .001). There was no difference in time on trial (hazard ratio, 1.03; p = .860) or survival (hazard ratio, 1.16; p = .496).

Conclusions: More than one third of EP-CT participants reported financial toxicity. Factors associated with financial toxicity and demonstrated novel associations among financial toxicity with QOL, coping, and resource concerns were identified, highlighting the need to address financial toxicity among this population.

A new model accurately predicts for which patients with chronic myeloid leukemia (CML) initial tyrosine kinase inhibitor (TKI) therapy will fail. This includes imatinib and second-generation TKIs. The model also offers physicians a new tool that may enable more personalized treatment approaches to CML according to a study published in Blood.¹

Developed by researchers in China, the model incorporates clinical covariates associated with TKI therapy failure to stratify patients into low-, intermediate-, and high-risk subgroups with significantly different cumulative incidences of treatment failure. The clinical covariates include sex, age, hemoglobin concentration, blood blast percentage, spleen size, and additional high-risk chromosomal abnormalities in Philadelphia chromosome–positive cells. The model was first developed using data from a single-center test cohort of 1955 patients with chronic-phase CML who were receiving as their initial treatment either a first-generation TKI (imatinib) or a second-generation TKI (nilotinib, dasatinib, or flumatinib), and it was then validated in 3454 patients from 76 other centers.

The model showed good predictive accuracy, as demonstrated by a high time-dependent area under the receiver operating characteristic curve (AUROC). Specifically, the model showed good prediction sensitivity and specificity with 1-, 3-, and 5-year AUROC scores of 0.83, 0.84, and 0.84, respectively (training set), and 0.77, 0.79, and 0.80, respectively (validation set). The AUROC scores range from 0 to 1, with 1 indicating a perfect performance and 0.5 indicating random guessing.

These AUROC values indicate better prediction discrimination than those offered by the Sokal and EUTOS long-term survival (ELTS) scores, the most widely used scores for guiding initial TKI therapy in patients with chronic-phase CML and predicting CML-related survival.

The authors say that they see their model as being used in conjunction with the Sokal and ELTS scores, not as a replacement, to further stratify patients to make risk assessment more precise.

“Using this model, physicians can better predict which patients are at high risk of therapy failure and make a more informed decision regarding the choice of the appropriate initial TKI,” says the senior author of the study, Qian Jiang, MD, professor and deputy chair of the Department of Hematology at Peking University People’s Hospital in Beijing, China.

Dr Jiang says that the model is ready for clinical use and that it can be readily applied in the clinical setting because the covariates on which the model is based are easily collected at the time of CML diagnosis.

Although the model is robust, he underscores that further validation is needed in Western populations to ensure its broad applicability and effectiveness across different demographic groups.

Background: Midlife baseline prostate-specific antigen (MB PSA), defined as a single PSA value measured between 40-59 years of age, has been proposed as a tool that can limit potential harms of PSA screening. This study aimed to examine the ability of MB PSA versus PSA doubling time (PSADT) and PSA velocity (PSAV) in assessing the likelihood of developing of lethal prostate cancer (PCa) in a diverse and contemporary North American population.

Methods: Men 40-59 years old, who received their first PSA between the years 1995 and 2019, were included. For MB PSA values, the first PSA test result was included. For PSADT, the first two PSA test results were included. For PSAV, the first three PSA test results within 30 months were included. Selection criteria resulted in a total of 77,594 patients with at least two PSA test results and 11,634 patients with at least three PSA test results. Multivariable Fine-Gray regression was used to examine the impact of the value of the PSA testing methods on the development of lethal PCa (defined as death from PCa or development of metastatic disease either at diagnosis or during follow-up). Time-dependent receiver operating characteristic/area under the curve (AUC) at 5, 10, and 15 years were plotted.

Results: In the main cohort, patients were most frequently in the 50-54 age category (32.8%), had a Charlson comorbidity index of 0 (70.5%), and were White (63.2%). Of these, 9.3% had the midlife baseline PSA in the top 10th percentile, and 0.4% had a PSADT 0-6 months. Lethal PCa was diagnosed in 593 (0.8%) patients. The median (interquartile range) time to lethal PCa was 8.6 (3.2-14.9) years. In the main cohort, MB PSA and PSADT showed significant associations with the occurrence of lethal PCa, with a hazard ratio (HR) of 6.10 (95% confidence interval [CI], 4.85-7.68) and HR of 2.20 (95% CI, 1.07-4.54) for patients in the top 10th percentile MB PSA group and in the PSADT between 0 to <6 months group, respectively. In patients with three PSA results available, MB PSA and PSAV showed significant associations with the occurrence of lethal PCa, with a HR of 3.95 (95% CI, 2.29-6.79) and 3.57 (95% CI, 2.17-5.86) for patients in the top 10th percentile MB PSA group and in the in the PSAV >0.4 ng/mL/year group, respectively. PSADT and PSAV did not exhibit higher AUCs than MB PSA in assessing the likelihood of lethal PCa. Specifically, they were 0.818 and 0.708 at 10 and 15 years, respectively, for the PSADT; 0.862 and 0.756 at 10 and 15 years, respectively, for the PSAV; and 0.868 and 0.762 at 10 and 15 years, respectively, for the MB PSA (all p > .05).

Conclusions: The study findings are that PSAV or PSADT were not superior to midlife baseline in assessing the likelihood of developing lethal PCa. This suggests that these variables may not have practical use in enhancing PSA screening strategies in a clinical setting.

Introduction: Despite increasing numbers of working-age cancer survivors, evidence on their future work-related circumstances is limited. This study examined their future sick leave, disability pension, and unemployment benefits compared to matched cancer-free individuals.

Methods: A matched cohort study was conducted using nationwide Swedish registers. In total, 94,411 individuals aged 25 to 59 years when diagnosed with incident cancer in 2001-2012 and who returned to work after cancer were compared with their matched cancer-free individuals (N = 354,814). Follow-up started from the year before cancer diagnosis and continued up to 14 years. Generalized estimating equations were used to calculate incidence rate ratios (IRR) and odds ratios for the difference between cancer survivors and matched cancer-free individuals.

Results: Compared with cancer-free individuals, cancer survivors had six times higher sick-leave days per year after cancer (IRR 6.25 [95% CI, 5.97-6.54] for men; IRR, 5.51 [5.39-5.64] for women). This higher number of sick-leave days declined over time but a two-fold difference persisted. An approximate 1.5 times higher risk of receiving disability pension remained during follow-up. The unemployment days tended to be lower for cancer survivors (IRR, 0.84 [0.75-0.94] for men; IRR, 0.91 [0.86-0.96] for women). Risk of sick leave and disability pension was higher among those with leukemia, colorectal, and breast cancer than skin and genitourinary cancers.

Conclusions: Cancer survivors who returned to work experienced a high and persisting sick leave and disability pension for over a decade. Prolonged receipt of a high amount of benefits may have long-term adverse impacts on financial circumstances; more knowledge to promote the environment that encourages returning to and remaining in work is needed.

Background: The prevalence of suboptimal self-rated health (SRH) and its association with subsequent all-cause and cause-specific mortality after blood or marrow transplantation (BMT) were examined.

Methods: Study participants were drawn from the multicenter Blood or Marrow Transplant Survivor Study, and included patients who were transplanted between 1974 and 2014 and had survived ≥2 years after BMT. Participants (aged ≥18 years) completed a survey at a median of 9 years from BMT, and were followed for a median of 5.6 years after survey completion. Survivors provided information on sociodemographic factors, chronic health conditions, health behaviors, and SRH (a single-item measure rated as excellent, very good, good, fair, or poor; excellent, very good, and good SRH were classified as good SRH, and fair and poor were classified as suboptimal SRH). The National Death Index Plus and Accurint databases and medical records provided vital status through December 2021.

Results: Of 3739 participants, 784 died after survey completion (21%). Overall, 879 BMT survivors (23.5%) reported suboptimal SRH. Pain, low socioeconomic status, psychological distress, lack of exercise, severe/life-threatening chronic health conditions, post-BMT relapse, obesity, smoking, and male sex were associated with suboptimal SRH. BMT survivors who reported suboptimal SRH had a 1.9-fold increased risk of all-cause mortality (95% confidence interval [CI], 1.6-2.3), 1.8-fold increased risk of recurrence-related mortality (95% CI, 1.4-2.5), and 1.9-fold increased risk of non-recurrence-related mortality (95% CI, 1.4-2.4) compared to those who reported good SRH.

Conclusions: This single-item measure could help identify vulnerable subpopulations who could benefit from interventions to mitigate the risk for subsequent mortality.

Background: The Patient Protection and Affordable Care Act (ACA) allowed Americans aged 19-25 years to remain on their parents' health insurance plans until age 26 years (the Dependent Care Expansion [DCE]). Have those with cancer diagnoses benefited?

Methods: The ACE DCE 7-year age range of 19-25 years was compared for changes in cancer survival and mortality before and after enactment of the ACA with groups that were younger and older (in 7-year age spans: ages 12-18 and 26-32 years, respectively). Cancer death data for the entire United States were obtained from the Centers for Disease Control and Prevention, and relative survival data of patients who were diagnosed with cancer were obtained from the National Cancer Institute Surveillance, Epidemiology, and End Results regions representing 42%-44% of the country.

Results: Joinpoint analysis identified the DCE-eligible cohort as the only age group of the three groups evaluated that have had improvements in both cancer survival and death rate trends after ACA implementation and that 2010, the year the ACA was passed, was the inflection year for both survival and deaths. By 6 years, the relative survival after cancer diagnosis was 2.6 and 3.9 times greater in the DCE-eligible age group than in the younger and older control groups, respectively (both p < .001), and the cancer death rate in the DCE-eligible age group improved 2.1 and 1.5 times greater than in the younger and older control age groups, respectively (both p < .01).

Conclusions: During the first decade of the ACA, eligible young adults with cancer have had significantly improved survival and mortality. Additional policies expanding insurance coverage and enabling earlier cancer diagnosis among young adults are needed.

Plain language summary: The Patient Protection and Affordable Care Act (ACA) Dependent Care Expansion (DCE) that began in the United States in 2011 allowed young adults aged 19-25 years to remain on their parents' health insurance plans until age 26 years. The survival rate at 6 years in young adult patients diagnosed with cancer was 2.6 to 3.9 times greater in the DCE-eligible age group compared with the younger and older age groups, and the rate of deaths from cancer improved 1.5 to 2.1 times more. During the first decade of the ACA, young adults with cancer who were in the eligible group had significantly longer survival and reduced deaths from cancer. Additional policies that expand insurance coverage and allow the diagnosis of cancer sooner are needed in young adults.