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1.
J Adolesc Young Adult Oncol ; 11(5): 443-450, 2022 10.
Article in English | MEDLINE | ID: mdl-34714131

ABSTRACT

Purpose: To compare cancer types, stages, times to treatment, and survival for adolescent and young adults (AYAs) 15-24 years of age with other cancer patients <40 years. Methods: New South Wales Cancer Registry and treatment data were linked to explore differences in cancer type, stage, time to treatment, and survival between AYAs, children, and adults. Multivariable logistic regression and competing-risk regression were adjusted for sociodemographic, diagnostic period, and clinical characteristics. Results: Most common cancers in AYAs and adults were carcinomas compared with leukemias in children. Advanced (regional and distant) stage applied to 33% of AYA solid cancers, which was similar to adult stages, but lower than the 40% for children (adjusted odds ratio 1.21, 95% confidence interval [CI] 1.01-1.47). Proportions starting treatment ≤60 days from diagnosis were 93% for AYAs and children, and 94% for adults, with higher adjusted odds of starting ≤60 days of 1.39 (95% CI 1.11-1.73) for children and 1.23 (95% CI 1.06-1.44) for adults. Five-year disease-specific survival was 90% for AYAs and adults, and 87% for children. The adjusted subhazard ratio for children compared with AYAs was 0.67 (95% CI 0.52-0.88). Age differences in cancer stage, treatment start, and cancer survival varied by cancer type. Conclusions: After adjusting for cancer type, diagnostic period, and sociodemographic characteristics, AYAs had less advanced solid tumors than children; fewer AYAs were treated within 60 days than children and adults; and AYA survival was lower than for children. The potential for residual confounding from leukemia type and other confounders needs further analysis with larger Australia-wide cohorts.


Subject(s)
Neoplasms , Child , Young Adult , Adolescent , Humans , Aged , Adult , New South Wales/epidemiology , Neoplasms/epidemiology , Neoplasms/therapy , Neoplasms/diagnosis , Registries , Neoplasm Staging , Odds Ratio
2.
J Adolesc Young Adult Oncol ; 10(2): 156-163, 2021 04.
Article in English | MEDLINE | ID: mdl-32456575

ABSTRACT

Purpose: Five-year relative cancer survival increased from 80% to 89% among adolescent and young adult (AYA) Australians between 1985-1989 and 2011-2015. New South Wales (NSW), with a third of the Australian population, has long recorded degree of spread (localized, regional, or distant) at diagnosis. This study complements national data by investigating survival increases after adjusting for differences in degree of spread, cancer type, and sociodemographic characteristics. Methods: Population-based NSW Cancer Registry data, for malignant solid cancers where degree of spread was applicable, were analyzed for ages 15-24 years in 1980-2015. Subhazard ratios (SHRs) from competing risk regression indicated risk of death from the primary cancer as opposed to other causes. Multiple logistic regression was used to model odds ratios for more extensive compared with localized spread at diagnosis. Results: Approximately 72% of cancers had a localized degree of spread. Adjusted SHRs for cancer-specific mortality decreased from 1980-1989 to 2010-2015 (SHR: 0.73, 95% confidence interval: 0.55-0.95). Adjusted odds ratios (aORs) for more advanced versus localized spread were lowest for melanoma and lip, oral cavity, and pharyngeal carcinoma, and highest for breast carcinoma, Ewing tumor, and colorectal carcinoma. The aOR for more advanced versus localized cancer was higher for men than women. Conclusions: Cancer survival increased to a statistically significantly in AYAs during 1980-2015, after adjusting for degree of spread, cancer type, and sociodemographic characteristics. We attribute this mostly to treatment gains. Linked data should be used to explore treatment contributions.


Subject(s)
Neoplasms , Adolescent , Cancer Survivors , Female , Humans , Male , Multivariate Analysis , New South Wales/epidemiology , Registries , Survival Analysis , Young Adult
3.
Eur J Cancer ; 132: 11-16, 2020 06.
Article in English | MEDLINE | ID: mdl-32305831

ABSTRACT

INTRODUCTION: Since the beginning of COVID-19 pandemic, it is known that the severe course of the disease occurs mostly among the elderly, whereas it is rare among children and young adults. Comorbidities, in particular, diabetes and hypertension, clearly associated with age, besides obesity and smoke, are strongly associated with the need for intensive treatment and a dismal outcome. A weaker immunity of the elderly has been proposed as a possible explanation of this uneven age distribution. Thus, there is concern that children treated for cancer may allso be at risk for an unfavourable course of infection. Along the same line, anecdotal information from Wuhan, China, mentioned a severe course of COVID-19 in a child treated for leukaemia. AIM AND METHODS: We made a flash survey on COVID-19 incidence and severity among children on anticancer treatment. Respondents were asked by email to fill in a short Web-based survey. RESULTS: We received reports from 25 countries, where approximately 10,000 patients at risk are followed up. At the time of the survey, more than 200 of these children were tested, nine of whom were positive for COVID-19. Eight of the nine cases had asymptomatic to mild disease, and one was just diagnosed with COVID-19. We also discuss preventive measures that are in place or should be taken and treatment options in immunocompromised children with COVID-19. CONCLUSION: Thus, even children receiving anticancer chemotherapy may have a mild or asymptomatic course of COVID-19. While we should not underestimate the risk of developing a more severe course of COVID-19 than that observed here, the intensity of preventive measures should not cause delays or obstructions in oncological treatment.


Subject(s)
Antineoplastic Agents/therapeutic use , Betacoronavirus , Coronavirus Infections/complications , Neoplasms/drug therapy , Pneumonia, Viral/complications , Adolescent , COVID-19 , Child , Coronavirus Infections/drug therapy , Female , Humans , Male , Neoplasms/complications , Pandemics , Pneumonia, Viral/drug therapy , SARS-CoV-2 , Surveys and Questionnaires , COVID-19 Drug Treatment
4.
Biomed Chromatogr ; 23(2): 152-9, 2009 Feb.
Article in English | MEDLINE | ID: mdl-18823071

ABSTRACT

A novel assay for the determination of l-asparaginase activity in human plasma is described that is based on the HPLC quantitation of l-aspartic acid produced during enzyme incubation. Methods for monitoring l-asparagine depletion are also described. Chromatography of l-aspartic acid, l-asparagine and l-homoserine (the internal standard) involved derivatization with o-pthaldialdehyde, then separation from other amino acids on a Phenomenex Luna C(18) column using a 1 mL/min flow rate and a mobile phase consisting of di-potassium hydrogen orthophosphate propionate buffer, pH 6, with 10% methanol and 10% acetonitrile. Fluoresence detection was at excitation/emission wavelengths of 357/455 nm. Under these conditions l-aspartic acid, l-asparagine and l-homoserine had retention times of 3.5, 9.8 and 17.7 min, respectively. The l-asparaginase assay was linear from 0.1 to 10 U/mL activity and interday precision and accuracy were less than 13%. The limit of quantitation was approximately 0.03 U/mL. The assay utility was established in 12 children who received E. coli l-asparaginase as treatment for acute lymphoblastic leukaemia.


Subject(s)
Antineoplastic Agents/metabolism , Asparaginase/metabolism , Asparagine/metabolism , Chromatography, High Pressure Liquid/methods , Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy , Adolescent , Antineoplastic Agents/blood , Antineoplastic Agents/therapeutic use , Asparaginase/blood , Asparaginase/therapeutic use , Asparagine/blood , Aspartic Acid/blood , Aspartic Acid/metabolism , Child , Child, Preschool , Drug Stability , Escherichia coli Proteins/therapeutic use , Fluorescence , Glutamic Acid/blood , Glutamic Acid/metabolism , Glutamine/analysis , Glutamine/blood , Glutamine/metabolism , Homoserine/analysis , Humans , Least-Squares Analysis , Reference Standards , Reproducibility of Results , Sensitivity and Specificity
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